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Mission Reconnect-Veterans and Their Partners to Manage Pain and PTSD (MR)

Mission Reconnect: Delivering a Mobile and Web Based Self Directed Complementary and Integrative Health Program to Veterans and Their Partners to Manage Pain and PTSD

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03593772
Acronym
MR
Enrollment
730
Registered
2018-07-20
Start date
2019-10-08
Completion date
2022-10-31
Last updated
2024-08-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Musculoskeletal Pain, PTSD

Keywords

chronic pain, PTSD

Brief summary

This project is responsive to Rehabilitation Research and Development's (RR&D) current special areas of interest for non-pharmacological activity-based interventions for chronic pain impacting pain reduction, function and quality of life. This project aligns with the VA mandate for complementary and integrative health (CIH) care for Veterans and their families. CIH complements traditional care for Veterans managing chronic conditions, such as chronic pain and PTSD. Mission Reconnect (MR) is a user-driven, dyadic, CIH self-care management program delivered remotely that teaches techniques the Veteran/partner dyad can use to reduce pain, anxiety and stress, promote well-being and improve relationship quality. The research goal is to evaluate MR as an approach to manage chronic pain and PTSD symptoms, for potential subsequent implementation. This study will possibly provide a model for establishing remote access and sustainable implementation of CIH within VA.

Detailed description

Chronic pain is one of the most prevalent medical conditions in the Veteran population. Pain often presents with comorbid conditions, specifically post-traumatic stress disorder (PTSD). Comorbid chronic pain and PTSD significantly impact the quality of life of Veterans and their families. Multi-faceted therapies leveraging complementary and integrative health (CIH) are mandated within VA to complement clinical practice guidelines improve Veterans' quality of life and ability to function. This research will evaluate a CIH intervention to manage pain and PTSD related outcomes within a bio-psychosocial framework. The proposed intervention, Mission Reconnect (MR), a user-driven, dyadic, self-care management program delivered online and by mobile app that has previously shown to be effective in a non-clinically defined community-based Veteran/military population. This research is needed to test MR's effects in a clinically defined population as a complement to clinical services to assess for potential subsequent implementation within the Department of Veterans Affairs (VA). This proposal resubmission is responsive to Veterans' reported desire for CIH and several VA initiatives, including RR&D's current special areas of interest for non-pharmacological activity-based interventions for chronic pain impacting pain reduction, function and quality of life. The VA Secretary of Health Strategic Priorities and the emerging VA Whole Health Program identify access to CIH for pain and self-care management as a priority to achieve optimal Veteran health. To be responsive to these priorities the 2016 VA State-of-the-Art Conference (SOTA) and Comprehensive Addiction Recovery Act (CARA) mandated VA's commitment to conduct rigorous research to integrate non-pharmacological and CIH approaches into care, with emphasis on pain management. This proposal is also responsive to the VA's Opioid Safety Initiative (OSI) and Pain Care Mission which prioritize the need for nonpharmacological treatment options for pain. The short-term goal of this study is to determine the effects of MR on (1) chronic pain, PTSD and related outcomes and (2) relationship outcomes for Veterans and their partners. The long-term goal is to determine the effectiveness and sustainability of using CIH self-care management programs like MR to improve outcomes for Veterans with chronic pain and PTSD, and their partners. The investigators propose a four-year mixed-methods randomized controlled trial of MR with two arms (treatment & wait-list control) in a clinical sample of Veterans with comorbid pain and PTSD, and their partners (e.g., spouse). The specific aims are to: (Aim 1) Determine MR effectiveness for physical (pain, sleep), PTSD (intrusion, arousal, avoidance, numbing), and psychological (depression, stress, anxiety) symptoms, and global health (quality of life); (Aim 2) Determine MR effectiveness for social (relationship satisfaction, compassion for self/others) outcomes among Veterans and their partners; and (Aim 3) Describe Veteran and partner perceived value of MR in a sub-sample of participants. The sample will consist of Veteran and partner dyads (N = 336) at the Ann Arbor, Puget Sound, and Tampa VA facilities. Aim 1 & 2 data collection will include self-report assessment of 4-data points over a 4-month period to evaluate physical, psychological, and social outcomes. Eight weekly reports will also be collected for the first two months of MR use to assess MR utilization, and pain and stress levels. Aim 3 data collection will include telephone interviews from a randomly selected sub-sample of MR treatment group dyads (n = 42) to examine MR user experiences and their suggestions making MR useful for Veterans and their partners.

Interventions

This four-year randomized controlled trial with one intervention arm and one wait-list control arm will utilize mixed methods to evaluate the effectiveness and perceived value of the MR program in relation to physical and psychological symptoms, global health, and social outcomes.

Sponsors

VA Office of Research and Development
Lead SponsorFED

Study design

Allocation
RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Masking description

There are no masked roles

Intervention model description

This research study will evaluate a CIH intervention to manage pain and PTSD related outcomes within a bio-psychosocial framework. The proposed intervention, Mission Reconnect (MR), a user-driven, dyadic, self-care management program delivered online and by mobile app that has previously shown to be effective in a non-clinically defined community-based Veteran/military population.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* English-speaking Veterans with chronic musculoskeletal pain. * Veteran is considered to have chronic musculoskeletal pain if he or she meeting either of two validated criteria: * (1) Having 2+ occurrences of any of targeted musculoskeletal ICD-9-CM codes likely to represent chronic pain recorded at visits separated by at least 30 days within past six months * (2) Having high impact chronic pain = 2+ occurrences of targeted musculoskeletal ICD-9-CM codes separated by at least 30 days within the past six months previous to study recruitment and two or more pain scores greater than or equal to 4 separated by at least 30 days within past six months. * For pain scores, the investigators will use the 0-10 numeric pain rating scale that is routinely collected at the VA. * The investigators will count two ICD-9-CM codes or pain scores recorded on the same day as one code/score. * Veteran is considered to have PTSD if he or she has a flag in his/her record indicating confirmed condition by the VA Compensation and Benefits program, has at least two outpatient visits in the year with the primary diagnosis being listed as PTSD (ICD-9-CM code 309.81) and/or had PTSD listed on the problem list\], Veteran must also have PTSD (defined by PTSD diagnosis-ICD-9-CM 309.81), the ability to access and use an electronic platform (e.g. Mobile device, internet, DVD) for MR delivery, with a willing partner to also participate in the study and MR program.

Exclusion criteria

* Moderate to severe traumatic brain injury (TBI) * Diagnosis or documented treatment for psychosis in previous 6 months * Currently in substance use disorder treatment * Non-English speaking * Visual, hearing, cognitive impairment that prevent participation or ability to consent * And/or lack of access to internet service * These individuals will be excluded due to medical, language, and technology access issues that would prevent safe and full study participation. * Pain and PTSD treatment will not be factored as an inclusion/

Design outcomes

Primary

MeasureTime frameDescription
Pain Outcomes Questionnaire (POQ)Baseline, month 1,2,420-item questionnaire, used to assess pain, and pain-related subdomains, such as pain intensity, interference with activities, mobility, negative affect, vitality, and pain-related fear. Higher Scores associated with more adverse pain-related patient reported outcomes. Pain Range: 0 - 10 Mobility Range: 0 - 40 Activities of Daily Living Range: 0 - 40 Vitality Range: 0 - 30 Negative Affect Range: 0 - 50 Fear Range: 0 - 20 Total Range: 0-190

Secondary

MeasureTime frameDescription
Compassion for Self and Others ScalesBaseline, month 1,2,426- item (CSS) and 21- item (COS) measures, that calculate an overall Compassion for Others score, an overall Compassion for Self score, and Compassion for Self subscale scores in the domains of Self-Kindness, Self-Judgment, Common Humanity, Isolation, Mindfulness, Overidentification. CSS subdomain scales and the total score (average of components) range from 0 - 5, with higher scores indicating higher self-compassion. COS score ranges from 0 - 7, with higher scores indicating higher compassion for others.
Pain, Stress and Tension LikertBaseline, Week 1 - 8, Week 16Three items will assess pain, stress and tension using a 0 to 5-point Likert-type scale. Higher Scores associated with more adverse patient reported outcomes. Pain Range: 0 - 5 Stress Range: 0 - 5 Tension Range: 0 - 5
Defense and Veterans Pain Rating ScaleBaseline, month 1,2,410-point scale to measure current pain intensity (past 24 hours) and pain interference (past 24 hours) with activity, sleep, mood, and stress. Higher Scores associated with more adverse pain-related patient reported outcomes. Pain Range: 0 - 10 Pain Interference with Activity Range: 0 - 10 Pain Interference with Sleep Range: 0 - 10 Pain Interference with Mood Range: 0 - 10 Pain Interference with Stress Range: 0 - 10
PTSD: Posttraumatic ChecklistBaseline, month 1,2,420-item measure of PTSD symptoms Higher Scores associated with more adverse PTSD-related patient reported outcomes. Posttraumatic Stress Disorder Checklist (PCL-5) Range: 0 - 80
Quality of Life Short-form (SF12)Baseline, month 1,2,412-items to assess quality of life using physical status and mental health distress. Scores for the Mental Health and Physical Health domains range from 0 to 100, with higher scores indicating better physical and mental health functioning
Sleep Quality: Pittsburgh Sleep Quality Index (PSQI)Baseline, month 1,2,419 self-rated questions from which 7 component scores are calculated and summed into a global score to assess sleep quality in the past month. Each of the domain scores range from 0 (no difficulty) to 3 (severe difficulty). The global score ranges from 0 to 21. Higher scores indicate worse sleep quality.

Other

MeasureTime frameDescription
Stress: Perceived Stress Scale (PSS)Baseline, month 1,2,410 Likert-scaled items, validated and widely used, to determine perceived stress levels. Perceived Stress Scale (PSS) scaled from 0 to 40 with higher scores indicating higher perceived stress.
Revised Dyadic Adjustment Scale (RDAS)Baseline, month 1,2,414-item Likert-scaled instrument that contains domains for dyadic Consensus (sub-domain Decision Making, Values, and Affection), dyadic Satisfaction (sub-domain Stability and Conflict), and dyadic Cohesion (sub-domain Activities and Discussion). Scores on the Revised Dyadic Adjustment Scale (RDAS) range from 0 to 69 with higher scores indicating greater relationship satisfaction and lower scores indicating greater relationship distress.
MR Program Satisfaction ItemsMonth 411 eleven-point Likert-type items (i.e., 0-10) assess satisfaction using MR components, whether they would recommend MR, and massage satisfaction. Higher scores refer to higher satisfaction with MR.
MR Program UtilizationMonth 4Treatment group: weekly report 11-items will assess frequency of use and compliance of the MR mind/body & massage practices. Measure calculated in number of minutes per week the participant performed the activity.
Depression: Beck Depression Inventory (BDI)Baseline, month 1,2,421-items, a widely used instrument for measuring depression. Respondents are asked to rate their symptoms and attitudes using a 4-point scale. Beck Depression Inventory (BDI) scores range from 0 to 63 with higher scores indicating more likely depression diagnosis, and higher prevalence of depression symptoms.

Countries

United States

Participant flow

Pre-assignment details

Instruments may be administered to different individuals at different timepoints. We consented 196 Veterans (Vs) to the Treatment arm (Tx) & 168 Vs to the Waitlist-control arm (WC). Some Partners (Ps) withdrew & new Ps were added to the study. We consented 198 Ps to Tx, & 168 Ps to WC. We have Baseline data for 141 Vs (Tx), 136 Vs (WC), 137 Ps (Tx), & 133 Ps (WC). Satisfaction/utilization were only obtained after Tx initiation. The n's are the number of individuals activated (133 Vs, 133 Ps).

Participants by arm

ArmCount
Treatment Arm - Veteran
Treatment Arm: MR is an user-driven, dyadic, self-care management program developed with NIMH funding (R43/44) for use by Veterans and their selected partners, individually or together, to reduce pain and distress and support physical, mental, and relationship health. MR was designed for Veterans who face obstacles accessing formal mental health services. It can also be used to complement formal services. MR is a patient-centered intervention, allowing users to determine the pace at which to proceed in each program component. MR Content. The program provides video and audio instruction in a set of 11 evidence-based wellness. Mission Reconnect: This four-year randomized controlled trial with one intervention arm and one wait-list control arm will utilize mixed methods to evaluate the effectiveness and perceived value of the MR program in relation to physical and psychological symptoms, global health, and social outcomes.
196
Treatment Arm - Partner
Treatment Arm: MR is an user-driven, dyadic, self-care management program developed with NIMH funding (R43/44) for use by Veterans and their selected partners, individually or together, to reduce pain and distress and support physical, mental, and relationship health. MR was designed for Veterans who face obstacles accessing formal mental health services. It can also be used to complement formal services. MR is a patient-centered intervention, allowing users to determine the pace at which to proceed in each program component. MR Content. The program provides video and audio instruction in a set of 11 evidence-based wellness. Mission Reconnect: This four-year randomized controlled trial with one intervention arm and one wait-list control arm will utilize mixed methods to evaluate the effectiveness and perceived value of the MR program in relation to physical and psychological symptoms, global health, and social outcomes.
198
Control Arm - Veteran
Usual Care Waitlist Control Arm: For ethical reasons, this study will use a waitlist control arm to ultimately provide all participants exposure to the MR intervention. Dyads in the control arm will participate in all assessments like those in the treatment group, however, they will be asked to agree to not access the public web site during their participation. Wait-list control participants will be instructed to seek advice about treatment from their providers. Other than this initial advice, there will be no attempt by study personnel to influence condition management unless an issue (i.e., suicidal ideation) arises. The control condition will account for potential temporal effects that occur from passage of time (brief), and expectation effects associated with anticipation of MR participation. The control group will receive access to MR after they complete data collection. Mission Reconnect: This four-year randomized controlled trial with one intervention arm and one wait-list control arm will utilize mixed methods to evaluate the effectiveness and perceived value of the MR program in relation to physical and psychological symptoms, global health, and social outcomes.
168
Control Arm - Partner
Usual Care Waitlist Control Arm: For ethical reasons, this study will use a waitlist control arm to ultimately provide all participants exposure to the MR intervention. Dyads in the control arm will participate in all assessments like those in the treatment group, however, they will be asked to agree to not access the public web site during their participation. Wait-list control participants will be instructed to seek advice about treatment from their providers. Other than this initial advice, there will be no attempt by study personnel to influence condition management unless an issue (i.e., suicidal ideation) arises. The control condition will account for potential temporal effects that occur from passage of time (brief), and expectation effects associated with anticipation of MR participation. The control group will receive access to MR after they complete data collection. Mission Reconnect: This four-year randomized controlled trial with one intervention arm and one wait-list control arm will utilize mixed methods to evaluate the effectiveness and perceived value of the MR program in relation to physical and psychological symptoms, global health, and social outcomes.
168
Total730

Baseline characteristics

CharacteristicControl Arm - VeteranControl Arm - PartnerTreatment Arm - VeteranTotalTreatment Arm - Partner
Age, Continuous57.28 Years
STANDARD_DEVIATION 13.35
52.92 Years
STANDARD_DEVIATION 14.57
55.80 Years
STANDARD_DEVIATION 14.13
56.54 Years
STANDARD_DEVIATION 13.74
52.20 Years
STANDARD_DEVIATION 13.72
Ethnicity (NIH/OMB)
Hispanic or Latino
10 Participants9 Participants13 Participants43 Participants11 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
116 Participants121 Participants123 Participants483 Participants123 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
42 Participants38 Participants60 Participants204 Participants64 Participants
Pain Outcomes Questionnaire
Activities of Daily Living
10.07 units on a scale
STANDARD_DEVIATION 10.09
11.71 units on a scale
STANDARD_DEVIATION 11.24
10.91 units on a scale
STANDARD_DEVIATION 10.7
Pain Outcomes Questionnaire
Fear
10.89 units on a scale
STANDARD_DEVIATION 4.88
11.38 units on a scale
STANDARD_DEVIATION 4.95
11.14 units on a scale
STANDARD_DEVIATION 4.91
Pain Outcomes Questionnaire
Mobility
19.78 units on a scale
STANDARD_DEVIATION 10.78
21.63 units on a scale
STANDARD_DEVIATION 11.54
20.72 units on a scale
STANDARD_DEVIATION 11.19
Pain Outcomes Questionnaire
Negative Affect
28.61 units on a scale
STANDARD_DEVIATION 11.5
31.93 units on a scale
STANDARD_DEVIATION 11.59
30.30 units on a scale
STANDARD_DEVIATION 11.64
Pain Outcomes Questionnaire
Pain
6.07 units on a scale
STANDARD_DEVIATION 1.92
6.25 units on a scale
STANDARD_DEVIATION 1.91
6.16 units on a scale
STANDARD_DEVIATION 1.91
Pain Outcomes Questionnaire
Total POQ
93.64 units on a scale
STANDARD_DEVIATION 33.08
103.50 units on a scale
STANDARD_DEVIATION 37.13
98.66 units on a scale
STANDARD_DEVIATION 35.48
Pain Outcomes Questionnaire
Vitality
18.21 units on a scale
STANDARD_DEVIATION 5.71
20.60 units on a scale
STANDARD_DEVIATION 5.74
19.43 units on a scale
STANDARD_DEVIATION 5.84
Race/Ethnicity, Customized
American Indian or Alaskan Native
1 Participants0 Participants3 Participants5 Participants1 Participants
Race/Ethnicity, Customized
Asian (Chinese, Filipino, Japanese, Korean etc.)
1 Participants4 Participants1 Participants11 Participants5 Participants
Race/Ethnicity, Customized
Black and/or African American
22 Participants21 Participants20 Participants83 Participants20 Participants
Race/Ethnicity, Customized
Missing/Decline to Respond
33 Participants38 Participants56 Participants190 Participants63 Participants
Race/Ethnicity, Customized
Multiracial
8 Participants2 Participants9 Participants22 Participants3 Participants
Race/Ethnicity, Customized
Other
6 Participants1 Participants4 Participants13 Participants2 Participants
Race/Ethnicity, Customized
White, Caucasian
97 Participants102 Participants103 Participants406 Participants104 Participants
Sex/Gender, Customized
Female
33 Participants115 Participants40 Participants295 Participants107 Participants
Sex/Gender, Customized
Male
103 Participants17 Participants100 Participants249 Participants29 Participants
Sex/Gender, Customized
No Data - Did not complete Baseline Data collection
32 Participants35 Participants55 Participants183 Participants61 Participants
Sex/Gender, Customized
Other
0 Participants1 Participants1 Participants3 Participants1 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
deaths
Total, all-cause mortality
0 / 1960 / 1980 / 1680 / 168
other
Total, other adverse events
7 / 1960 / 1987 / 1680 / 168
serious
Total, serious adverse events
0 / 1960 / 1980 / 1680 / 168

Outcome results

Primary

Pain Outcomes Questionnaire (POQ)

20-item questionnaire, used to assess pain, and pain-related subdomains, such as pain intensity, interference with activities, mobility, negative affect, vitality, and pain-related fear. Higher Scores associated with more adverse pain-related patient reported outcomes. Pain Range: 0 - 10 Mobility Range: 0 - 40 Activities of Daily Living Range: 0 - 40 Vitality Range: 0 - 30 Negative Affect Range: 0 - 50 Fear Range: 0 - 20 Total Range: 0-190

Time frame: Baseline, month 1,2,4

Population: Multilinear model analyses were performed. Results provided are the Least Squares Mean and 95% C.I. for the two treatment arms. This is the least squares mean for the treatment variable averaged across all timepoints, after having controlled for other covariates. Instrument was administered only to Veterans activated in the protocol. Participants that opted out of responding were not included in the analyses.

ArmMeasureGroupValue (LEAST_SQUARES_MEAN)
Treatment ArmPain Outcomes Questionnaire (POQ)Mobility21.4893 Units on a scale
Treatment ArmPain Outcomes Questionnaire (POQ)Vitality20.2433 Units on a scale
Treatment ArmPain Outcomes Questionnaire (POQ)Pain Rating6.2006 Units on a scale
Treatment ArmPain Outcomes Questionnaire (POQ)Negative Affect30.7769 Units on a scale
Treatment ArmPain Outcomes Questionnaire (POQ)Activities of Daily Living12.1675 Units on a scale
Treatment ArmPain Outcomes Questionnaire (POQ)Fear11.5500 Units on a scale
Treatment ArmPain Outcomes Questionnaire (POQ)Total POQ102.32 Units on a scale
Control ArmPain Outcomes Questionnaire (POQ)Fear11.1400 Units on a scale
Control ArmPain Outcomes Questionnaire (POQ)Total POQ94.9863 Units on a scale
Control ArmPain Outcomes Questionnaire (POQ)Pain Rating6.1251 Units on a scale
Control ArmPain Outcomes Questionnaire (POQ)Mobility20.2530 Units on a scale
Control ArmPain Outcomes Questionnaire (POQ)Activities of Daily Living10.4716 Units on a scale
Control ArmPain Outcomes Questionnaire (POQ)Vitality18.6968 Units on a scale
Control ArmPain Outcomes Questionnaire (POQ)Negative Affect28.2654 Units on a scale
Comparison: Analysis performed on Total POQ Score as the outcome variable. Linear mixed models were constructed with fixed effects terms for the treatment group (MR vs. WC), time (continuous), and a treatment group x time interaction term to test whether the rate of change in the instrument score differed by treatment group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.05. Borderline statistical significance was considered to be \<0.1.p-value: 0.0535Mixed Models Analysis
Comparison: Analysis performed on Pain Rating as the outcome variable. Linear mixed models were constructed with fixed effects terms for the treatment group (MR vs. WC), time (continuous), and a treatment group x time interaction term to test whether the rate of change in the instrument score differed by treatment group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.05. Borderline statistical significance was considered to be \<0.1.p-value: 0.3729Mixed Models Analysis
Comparison: Analysis performed on Mobility as the outcome variable. Linear mixed models were constructed with fixed effects terms for the treatment group (MR vs. WC), time (continuous), and a treatment group x time interaction term to test whether the rate of change in the instrument score differed by treatment group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.05. Borderline statistical significance was considered to be \<0.1.p-value: 0.4124Mixed Models Analysis
Comparison: Analysis performed on Activities of Daily Living as outcome variable. Linear mixed models were constructed with fixed effects terms for treatment group (MR vs. WC), time (continuous), and a treatment group x time interaction term to test if the rate of change in the instrument score differed by treatment group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.05. Borderline statistical significance was considered to be \<0.1.p-value: 0.6442Mixed Models Analysis
Comparison: Analysis performed on Vitality as the outcome variable. Linear mixed models were constructed with fixed effects terms for the treatment group (MR vs. WC), time (continuous), and a treatment group x time interaction term to test whether the rate of change in the instrument score differed by treatment group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.05. Borderline statistical significance was considered to be \<0.1.p-value: 0.1641Mixed Models Analysis
Comparison: Analysis performed on Neg. Affect as the outcome variable. Linear mixed models were constructed with fixed effects terms for the treatment group (MR vs. WC), time (continuous), and a treatment group x time interaction term to test whether the rate of change in the instrument score differed by treatment group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.05. Borderline statistical significance was considered to be \<0.1.p-value: 0.0487Mixed Models Analysis
Comparison: Analysis performed on Fear as the outcome variable. Linear mixed models were constructed with fixed effects terms for the treatment group (MR vs. WC), time (continuous), and a treatment group x time interaction term to test whether the rate of change in the instrument score differed by treatment group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.05. Borderline statistical significance was considered to be \<0.1.p-value: 0.1554Mixed Models Analysis
Secondary

Compassion for Self and Others Scales

26- item (CSS) and 21- item (COS) measures, that calculate an overall Compassion for Others score, an overall Compassion for Self score, and Compassion for Self subscale scores in the domains of Self-Kindness, Self-Judgment, Common Humanity, Isolation, Mindfulness, Overidentification. CSS subdomain scales and the total score (average of components) range from 0 - 5, with higher scores indicating higher self-compassion. COS score ranges from 0 - 7, with higher scores indicating higher compassion for others.

Time frame: Baseline, month 1,2,4

Population: Multilinear model analyses were performed. Results provided are the Least Squares Mean and 95% C.I. for the two treatment arms. This is the least squares mean for the treatment variable averaged across all timepoints, after having controlled for other covariates. Instrument was administered only to Vets and Parts who had been activated in the protocol. Participants who opted out of responding to certain questions were not included in the analyses.

ArmMeasureGroupValue (LEAST_SQUARES_MEAN)
Treatment ArmCompassion for Self and Others ScalesOverall COS5.5055 units on a scale
Treatment ArmCompassion for Self and Others ScalesCSS, Common Humanity Subdomain2.7811 units on a scale
Treatment ArmCompassion for Self and Others ScalesCSS, Self-judgment Subdomain2.4873 units on a scale
Treatment ArmCompassion for Self and Others ScalesCSS, Self-kindness Subdomain2.5769 units on a scale
Treatment ArmCompassion for Self and Others ScalesCSS, Isolation Subdomain2.6541 units on a scale
Treatment ArmCompassion for Self and Others ScalesCSS, Over-identification Subdomain2.7745 units on a scale
Treatment ArmCompassion for Self and Others ScalesCSS, Mindfulness Subdomain3.0142 units on a scale
Treatment ArmCompassion for Self and Others ScalesOverall CSS2.7177 units on a scale
Control ArmCompassion for Self and Others ScalesCSS, Self-judgment Subdomain3.0189 units on a scale
Control ArmCompassion for Self and Others ScalesCSS, Common Humanity Subdomain3.2938 units on a scale
Control ArmCompassion for Self and Others ScalesOverall COS6.1296 units on a scale
Control ArmCompassion for Self and Others ScalesOverall CSS3.2624 units on a scale
Control ArmCompassion for Self and Others ScalesCSS, Self-kindness Subdomain3.2407 units on a scale
Control ArmCompassion for Self and Others ScalesCSS, Isolation Subdomain3.2216 units on a scale
Control ArmCompassion for Self and Others ScalesCSS, Mindfulness Subdomain3.5882 units on a scale
Control ArmCompassion for Self and Others ScalesCSS, Over-identification Subdomain3.2191 units on a scale
Control Arm - VeteranCompassion for Self and Others ScalesCSS, Common Humanity Subdomain2.9178 units on a scale
Control Arm - VeteranCompassion for Self and Others ScalesCSS, Over-identification Subdomain2.8186 units on a scale
Control Arm - VeteranCompassion for Self and Others ScalesCSS, Mindfulness Subdomain3.1499 units on a scale
Control Arm - VeteranCompassion for Self and Others ScalesCSS, Self-judgment Subdomain2.5104 units on a scale
Control Arm - VeteranCompassion for Self and Others ScalesOverall COS5.4667 units on a scale
Control Arm - VeteranCompassion for Self and Others ScalesCSS, Self-kindness Subdomain2.7097 units on a scale
Control Arm - VeteranCompassion for Self and Others ScalesCSS, Isolation Subdomain2.6762 units on a scale
Control Arm - VeteranCompassion for Self and Others ScalesOverall CSS2.7983 units on a scale
Control Arm - PartnerCompassion for Self and Others ScalesOverall CSS3.2908 units on a scale
Control Arm - PartnerCompassion for Self and Others ScalesCSS, Self-judgment Subdomain3.0766 units on a scale
Control Arm - PartnerCompassion for Self and Others ScalesCSS, Common Humanity Subdomain3.4125 units on a scale
Control Arm - PartnerCompassion for Self and Others ScalesCSS, Isolation Subdomain3.2205 units on a scale
Control Arm - PartnerCompassion for Self and Others ScalesCSS, Over-identification Subdomain3.2389 units on a scale
Control Arm - PartnerCompassion for Self and Others ScalesOverall COS5.9148 units on a scale
Control Arm - PartnerCompassion for Self and Others ScalesCSS, Mindfulness Subdomain3.5835 units on a scale
Control Arm - PartnerCompassion for Self and Others ScalesCSS, Self-kindness Subdomain3.2320 units on a scale
Comparison: Analysis performed on COS Total Score as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.6679Mixed Models Analysis
Comparison: Analysis performed on COS Total Score as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1607Mixed Models Analysis
Comparison: Analysis performed on CSS- Total as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.126Mixed Models Analysis
Comparison: Analysis performed on CSS Self-Kindness Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.3311Mixed Models Analysis
Comparison: Analysis performed on CSS Self-Judgment Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.2416Mixed Models Analysis
Comparison: Analysis performed on CSS Common Humanity Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.3903Mixed Models Analysis
Comparison: Analysis performed on CSS Isolation Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.2131Mixed Models Analysis
Comparison: Analysis performed on CSS Mindfulness Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.113Mixed Models Analysis
Comparison: Analysis performed on CSS Over-identification Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.0358Mixed Models Analysis
Comparison: Analysis performed on CSS- Total Score as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.7027Mixed Models Analysis
Comparison: Analysis performed on CSS Self-Kindness Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.2979Mixed Models Analysis
Comparison: Analysis performed on CSS Self-Judgment Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.4278Mixed Models Analysis
Comparison: Analysis performed on CSS Common Humanity Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.9933Mixed Models Analysis
Comparison: Analysis performed on CSS Isolation Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1589Mixed Models Analysis
Comparison: Analysis performed on CSS Mindfulness Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.8875Mixed Models Analysis
Comparison: Analysis performed on CSS Over-identification Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.6859Mixed Models Analysis
Secondary

Defense and Veterans Pain Rating Scale

10-point scale to measure current pain intensity (past 24 hours) and pain interference (past 24 hours) with activity, sleep, mood, and stress. Higher Scores associated with more adverse pain-related patient reported outcomes. Pain Range: 0 - 10 Pain Interference with Activity Range: 0 - 10 Pain Interference with Sleep Range: 0 - 10 Pain Interference with Mood Range: 0 - 10 Pain Interference with Stress Range: 0 - 10

Time frame: Baseline, month 1,2,4

Population: Multilinear model analyses were performed. Results provided are the Least Squares Mean and 95% C.I. for the two treatment arms. This is the least squares mean for the treatment variable averaged across all timepoints, after having controlled for other covariates. Instrument was administered only to Veterans who had been activated in the protocol. Participants who opted out of responding to certain questions were not included in the analyses.

ArmMeasureGroupValue (LEAST_SQUARES_MEAN)
Treatment ArmDefense and Veterans Pain Rating ScalePain Interference with Stress6.0832 units on a scale
Treatment ArmDefense and Veterans Pain Rating ScaleOverall Pain5.8062 units on a scale
Treatment ArmDefense and Veterans Pain Rating ScalePain Interference with Activity6.1319 units on a scale
Treatment ArmDefense and Veterans Pain Rating ScalePain Interference with Sleep5.9953 units on a scale
Treatment ArmDefense and Veterans Pain Rating ScalePain Interference with Mood6.1210 units on a scale
Control ArmDefense and Veterans Pain Rating ScalePain Interference with Mood5.9215 units on a scale
Control ArmDefense and Veterans Pain Rating ScalePain Interference with Sleep5.7385 units on a scale
Control ArmDefense and Veterans Pain Rating ScaleOverall Pain5.8431 units on a scale
Control ArmDefense and Veterans Pain Rating ScalePain Interference with Stress5.8715 units on a scale
Control ArmDefense and Veterans Pain Rating ScalePain Interference with Activity6.0125 units on a scale
Comparison: Analysis performed on Pain as the outcome variable. Linear mixed models were constructed with fixed effects terms for the treatment group (MR vs. WC), time (continuous), and a treatment group x time interaction term to test whether the rate of change in the instrument score differed by treatment group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1622Mixed Models Analysis
Comparison: Analysis performed on Pain Interference with Activity as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.254Mixed Models Analysis
Comparison: Analysis performed on Pain Interference with Sleep as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.0082Mixed Models Analysis
Comparison: Analysis performed on Pain Interference with Mood as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.0079Mixed Models Analysis
Comparison: Analysis performed on Pain Interference with Stress as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1588Mixed Models Analysis
Secondary

Pain, Stress and Tension Likert

Three items will assess pain, stress and tension using a 0 to 5-point Likert-type scale. Higher Scores associated with more adverse patient reported outcomes. Pain Range: 0 - 5 Stress Range: 0 - 5 Tension Range: 0 - 5

Time frame: Baseline, Week 1 - 8, Week 16

Population: Multilinear model analyses were performed. Results provided are the Least Squares Mean and 95% C.I. for the two treatment arms. This is the least squares mean for the treatment variable averaged across all timepoints, after having controlled for other covariates. Instrument was administered only to Veterans who had been activated in the protocol. Participants who opted out of responding to certain questions were not included in the analyses.

ArmMeasureGroupValue (LEAST_SQUARES_MEAN)
Treatment ArmPain, Stress and Tension LikertPain (on 5-point Likert Scale)3.3904 units on a scale
Treatment ArmPain, Stress and Tension LikertStress (on 5-point Likert Scale)3.1728 units on a scale
Treatment ArmPain, Stress and Tension LikertTension (on 5-point Likert Scale)3.4061 units on a scale
Control ArmPain, Stress and Tension LikertPain (on 5-point Likert Scale)3.3230 units on a scale
Control ArmPain, Stress and Tension LikertStress (on 5-point Likert Scale)3.0601 units on a scale
Control ArmPain, Stress and Tension LikertTension (on 5-point Likert Scale)3.2474 units on a scale
Comparison: Analysis performed on Pain as the outcome variable. Linear mixed models were constructed with fixed effects terms for the treatment group (MR vs. WC), time (continuous), and a treatment group x time interaction term to test whether the rate of change in the instrument score differed by treatment group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1924Mixed Models Analysis
Comparison: Analysis performed on Stress as the outcome variable. Linear mixed models were constructed with fixed effects terms for the treatment group (MR vs. WC), time (continuous), and a treatment group x time interaction term to test whether the rate of change in the instrument score differed by treatment group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1002Mixed Models Analysis
Comparison: Analysis performed on Tension as the outcome variable. Linear mixed models were constructed with fixed effects terms for the treatment group (MR vs. WC), time (continuous), and a treatment group x time interaction term to test whether the rate of change in the instrument score differed by treatment group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.7311Mixed Models Analysis
Secondary

PTSD: Posttraumatic Checklist

20-item measure of PTSD symptoms Higher Scores associated with more adverse PTSD-related patient reported outcomes. Posttraumatic Stress Disorder Checklist (PCL-5) Range: 0 - 80

Time frame: Baseline, month 1,2,4

Population: Multilinear model analyses were performed. Results provided are the Least Squares Mean and 95% C.I. for the two treatment arms. This is the least squares mean for the treatment variable averaged across all timepoints, after having controlled for other covariates. Instrument was administered only to Veterans who had been activated in the protocol. Participants who opted out of responding to certain questions were not included in the analyses.

ArmMeasureValue (LEAST_SQUARES_MEAN)
Treatment ArmPTSD: Posttraumatic Checklist43.5759 units on a scale
Control ArmPTSD: Posttraumatic Checklist41.5687 units on a scale
Comparison: Analysis performed on PCL-5 Total Score as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.4808Mixed Models Analysis
Secondary

Quality of Life Short-form (SF12)

12-items to assess quality of life using physical status and mental health distress. Scores for the Mental Health and Physical Health domains range from 0 to 100, with higher scores indicating better physical and mental health functioning

Time frame: Baseline, month 1,2,4

Population: Multilinear model analyses were performed. Results provided are the Least Squares Mean and 95% C.I. for the two treatment arms. This is the least squares mean for the treatment variable averaged across all timepoints, after having controlled for other covariates. Instrument was administered only to Veterans who had been activated in the protocol. Participants who opted out of responding to certain questions were not included in the analyses.

ArmMeasureGroupValue (LEAST_SQUARES_MEAN)
Treatment ArmQuality of Life Short-form (SF12)Physical Health Domain24.1845 units on a scale
Treatment ArmQuality of Life Short-form (SF12)Mental Health Domain43.5871 units on a scale
Control ArmQuality of Life Short-form (SF12)Physical Health Domain24.0067 units on a scale
Control ArmQuality of Life Short-form (SF12)Mental Health Domain44.3803 units on a scale
Comparison: Analysis performed on Physical Health Domain Score as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.9692Mixed Models Analysis
Comparison: Analysis performed on Mental Health Domain Score as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.0277Mixed Models Analysis
Secondary

Sleep Quality: Pittsburgh Sleep Quality Index (PSQI)

19 self-rated questions from which 7 component scores are calculated and summed into a global score to assess sleep quality in the past month. Each of the domain scores range from 0 (no difficulty) to 3 (severe difficulty). The global score ranges from 0 to 21. Higher scores indicate worse sleep quality.

Time frame: Baseline, month 1,2,4

Population: Multilinear model analyses were performed. Results provided are the Least Squares Mean and 95% C.I. for the two treatment arms. This is the least squares mean for the treatment variable averaged across all timepoints, after having controlled for other covariates. Instrument was administered only to Veterans who had been activated in the protocol. Participants who opted out of responding to certain questions were not included in the analyses.

ArmMeasureGroupValue (LEAST_SQUARES_MEAN)
Treatment ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Subjective sleep quality1.9406 units on a scale
Treatment ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Sleep disturbance1.9855 units on a scale
Treatment ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Sleep duration0.8399 units on a scale
Treatment ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Use of sleep medication1.9685 units on a scale
Treatment ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Sleep latency2.0332 units on a scale
Treatment ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Daytime dysfunction1.7602 units on a scale
Treatment ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Sleep efficiency0.3487 units on a scale
Treatment ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Global PSQI Score10.8145 units on a scale
Control ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Global PSQI Score10.7561 units on a scale
Control ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Subjective sleep quality1.8286 units on a scale
Control ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Sleep latency2.0296 units on a scale
Control ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Sleep duration1.0488 units on a scale
Control ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Sleep efficiency0.3552 units on a scale
Control ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Sleep disturbance1.9507 units on a scale
Control ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Use of sleep medication1.9055 units on a scale
Control ArmSleep Quality: Pittsburgh Sleep Quality Index (PSQI)Pittsburgh Sleep Quality Index - Daytime dysfunction1.6735 units on a scale
Comparison: Analysis performed on Total PSQI Score as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.5642Mixed Models Analysis
Comparison: Analysis performed on PSQI Subjective Sleep Quality Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.2438Mixed Models Analysis
Comparison: Analysis performed on PSQI Sleep latency Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.7317Mixed Models Analysis
Comparison: Analysis performed on PSQI Sleep duration Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.6393Mixed Models Analysis
Comparison: Analysis performed on PSQI Sleep efficiency Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1995Mixed Models Analysis
Comparison: Analysis performed on PSQI Sleep disturbance Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.2886Mixed Models Analysis
Comparison: Analysis performed on PSQI Use of sleep medication Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1323Mixed Models Analysis
Comparison: Analysis performed on PSQI Daytime dysfunction Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.7923Mixed Models Analysis
Other Pre-specified

Depression: Beck Depression Inventory (BDI)

21-items, a widely used instrument for measuring depression. Respondents are asked to rate their symptoms and attitudes using a 4-point scale. Beck Depression Inventory (BDI) scores range from 0 to 63 with higher scores indicating more likely depression diagnosis, and higher prevalence of depression symptoms.

Time frame: Baseline, month 1,2,4

Population: Multilinear model analyses were performed. Results provided are the Least Squares Mean and 95% C.I. for the two treatment arms. This is the least squares mean for the treatment variable averaged across all timepoints, after having controlled for other covariates. Instrument was administered only to Veterans who had been activated in the protocol. Participants who opted out of responding to certain questions were not included in the analyses.

ArmMeasureValue (LEAST_SQUARES_MEAN)
Treatment ArmDepression: Beck Depression Inventory (BDI)26.2981 units on a scale
Control ArmDepression: Beck Depression Inventory (BDI)24.6833 units on a scale
Comparison: Analysis performed on BDI total score as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1959Mixed Models Analysis
Other Pre-specified

MR Program Satisfaction Items

11 eleven-point Likert-type items (i.e., 0-10) assess satisfaction using MR components, whether they would recommend MR, and massage satisfaction. Higher scores refer to higher satisfaction with MR.

Time frame: Month 4

Population: Instrument requests experiences with treatment. Instrument only administered to Veterans and Partners in the Treatment Arm who were activated in the protocol. Participants who opted out of responding to certain questions were not included in the analyses for the instrument.

ArmMeasureGroupValue (MEDIAN)
Treatment ArmMR Program Satisfaction ItemsResponse to I am satisfied with my ability to connect with quiet.8 units on a scale
Treatment ArmMR Program Satisfaction ItemsResponse to I am satisfied with the Mission Reconnect program.8 units on a scale
Treatment ArmMR Program Satisfaction ItemsResponse to I am satisfied with the Connecting with Your Partner activities.8 units on a scale
Treatment ArmMR Program Satisfaction ItemsResponse to I would recommend Mission Reconnect to other Veterans and their partners.9 units on a scale
Treatment ArmMR Program Satisfaction ItemsResponse to I am satisfied with my ability to connect with my partner.8 units on a scale
Treatment ArmMR Program Satisfaction ItemsResponse to I am satisfied with receiving massage from my partner.8 units on a scale
Treatment ArmMR Program Satisfaction ItemsResponse to I am satisfied with the Connecting to Yourself activities.8 units on a scale
Treatment ArmMR Program Satisfaction ItemsResponse to I am satisfied with my ability to give my partner massage.8 units on a scale
Treatment ArmMR Program Satisfaction ItemsResponse to I am satisfied with the Connecting with Quiet activities.8 units on a scale
Treatment ArmMR Program Satisfaction ItemsResponse to I am satisfied with the Mission Reconnect Support Materials activities.8 units on a scale
Treatment ArmMR Program Satisfaction ItemsResponse to I am satisfied with my ability to connect with myself.8 units on a scale
Control ArmMR Program Satisfaction ItemsResponse to I am satisfied with the Mission Reconnect Support Materials activities.8 units on a scale
Control ArmMR Program Satisfaction ItemsResponse to I am satisfied with the Connecting to Yourself activities.8 units on a scale
Control ArmMR Program Satisfaction ItemsResponse to I am satisfied with my ability to connect with my partner.7.5 units on a scale
Control ArmMR Program Satisfaction ItemsResponse to I am satisfied with my ability to connect with myself.8 units on a scale
Control ArmMR Program Satisfaction ItemsResponse to I would recommend Mission Reconnect to other Veterans and their partners.8 units on a scale
Control ArmMR Program Satisfaction ItemsResponse to I am satisfied with the Connecting with Quiet activities.8 units on a scale
Control ArmMR Program Satisfaction ItemsResponse to I am satisfied with my ability to connect with quiet.8 units on a scale
Control ArmMR Program Satisfaction ItemsResponse to I am satisfied with the Connecting with Your Partner activities.8 units on a scale
Control ArmMR Program Satisfaction ItemsResponse to I am satisfied with receiving massage from my partner.9 units on a scale
Control ArmMR Program Satisfaction ItemsResponse to I am satisfied with my ability to give my partner massage.8 units on a scale
Control ArmMR Program Satisfaction ItemsResponse to I am satisfied with the Mission Reconnect program.8 units on a scale
Other Pre-specified

MR Program Utilization

Treatment group: weekly report 11-items will assess frequency of use and compliance of the MR mind/body & massage practices. Measure calculated in number of minutes per week the participant performed the activity.

Time frame: Month 4

Population: Instrument requests experiences with treatment. Instrument only administered to Veterans and Partners in the Treatment Arm who were activated in the protocol. Participants who opted out of responding to certain questions were not included in the analyses for the instrument.

ArmMeasureGroupValue (MEDIAN)
Treatment ArmMR Program UtilizationUtilization in the Connecting with Yourself Domain30 minutes per week
Treatment ArmMR Program UtilizationUtilization in the Connecting with the Quiet Domain40 minutes per week
Treatment ArmMR Program UtilizationUtilization in the Connecting with your Partner Domain60 minutes per week
Treatment ArmMR Program UtilizationTotal Utilization201 minutes per week
Control ArmMR Program UtilizationTotal Utilization190 minutes per week
Control ArmMR Program UtilizationUtilization in the Connecting with Yourself Domain55 minutes per week
Control ArmMR Program UtilizationUtilization in the Connecting with your Partner Domain43 minutes per week
Control ArmMR Program UtilizationUtilization in the Connecting with the Quiet Domain42 minutes per week
Other Pre-specified

Revised Dyadic Adjustment Scale (RDAS)

14-item Likert-scaled instrument that contains domains for dyadic Consensus (sub-domain Decision Making, Values, and Affection), dyadic Satisfaction (sub-domain Stability and Conflict), and dyadic Cohesion (sub-domain Activities and Discussion). Scores on the Revised Dyadic Adjustment Scale (RDAS) range from 0 to 69 with higher scores indicating greater relationship satisfaction and lower scores indicating greater relationship distress.

Time frame: Baseline, month 1,2,4

Population: Multilinear model analyses were performed. Results provided are the Least Squares Mean and 95% C.I. for the two treatment arms. This is the least squares mean for the treatment variable averaged across all timepoints, after having controlled for other covariates. Instrument was administered only to Vets and Parts who had been activated in the protocol. Participants who opted out of responding to certain questions were not included in the analyses.

ArmMeasureGroupValue (LEAST_SQUARES_MEAN)
Treatment ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Activities. Cohesion Domain, RDAS4.1842 units on a scale
Treatment ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Values. Consensus Domain, RDAS7.4926 units on a scale
Treatment ArmRevised Dyadic Adjustment Scale (RDAS)Total Cohesion Domain, RDAS10.7219 units on a scale
Treatment ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Affection. Consensus Domain, RDAS6.3686 units on a scale
Treatment ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Conflict. Satisfaction Domain, RDAS6.5146 units on a scale
Treatment ArmRevised Dyadic Adjustment Scale (RDAS)Total RDAS46.5186 units on a scale
Treatment ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Stability. Satisfaction Domain, RDAS8.1158 units on a scale
Treatment ArmRevised Dyadic Adjustment Scale (RDAS)Total Consensus Domain, RDAS21.2171 units on a scale
Treatment ArmRevised Dyadic Adjustment Scale (RDAS)Total Satisfaction Domain, RDAS14.6541 units on a scale
Treatment ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Decision Making. Consensus Domain, RDAS7.4194 units on a scale
Treatment ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Discussion. Cohesion Domain, RDAS6.5337 units on a scale
Control ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Decision Making. Consensus Domain, RDAS7.5229 units on a scale
Control ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Values. Consensus Domain, RDAS7.3515 units on a scale
Control ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Affection. Consensus Domain, RDAS6.7036 units on a scale
Control ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Activities. Cohesion Domain, RDAS4.6511 units on a scale
Control ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Discussion. Cohesion Domain, RDAS6.8995 units on a scale
Control ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Conflict. Satisfaction Domain, RDAS6.5229 units on a scale
Control ArmRevised Dyadic Adjustment Scale (RDAS)Total Cohesion Domain, RDAS11.5612 units on a scale
Control ArmRevised Dyadic Adjustment Scale (RDAS)Total RDAS47.8727 units on a scale
Control ArmRevised Dyadic Adjustment Scale (RDAS)Total Consensus Domain, RDAS21.5715 units on a scale
Control ArmRevised Dyadic Adjustment Scale (RDAS)Subdomain: Stability. Satisfaction Domain, RDAS8.1900 units on a scale
Control ArmRevised Dyadic Adjustment Scale (RDAS)Total Satisfaction Domain, RDAS14.7285 units on a scale
Control Arm - VeteranRevised Dyadic Adjustment Scale (RDAS)Total Satisfaction Domain, RDAS14.8108 units on a scale
Control Arm - VeteranRevised Dyadic Adjustment Scale (RDAS)Total Cohesion Domain, RDAS11.5357 units on a scale
Control Arm - VeteranRevised Dyadic Adjustment Scale (RDAS)Subdomain: Activities. Cohesion Domain, RDAS4.6317 units on a scale
Control Arm - VeteranRevised Dyadic Adjustment Scale (RDAS)Subdomain: Discussion. Cohesion Domain, RDAS6.9106 units on a scale
Control Arm - VeteranRevised Dyadic Adjustment Scale (RDAS)Total RDAS48.4518 units on a scale
Control Arm - VeteranRevised Dyadic Adjustment Scale (RDAS)Subdomain: Decision Making. Consensus Domain, RDAS7.6760 units on a scale
Control Arm - VeteranRevised Dyadic Adjustment Scale (RDAS)Subdomain: Values. Consensus Domain, RDAS7.3577 units on a scale
Control Arm - VeteranRevised Dyadic Adjustment Scale (RDAS)Subdomain: Affection. Consensus Domain, RDAS7.0612 units on a scale
Control Arm - VeteranRevised Dyadic Adjustment Scale (RDAS)Total Consensus Domain, RDAS22.0963 units on a scale
Control Arm - VeteranRevised Dyadic Adjustment Scale (RDAS)Subdomain: Stability. Satisfaction Domain, RDAS8.3706 units on a scale
Control Arm - VeteranRevised Dyadic Adjustment Scale (RDAS)Subdomain: Conflict. Satisfaction Domain, RDAS6.4356 units on a scale
Control Arm - PartnerRevised Dyadic Adjustment Scale (RDAS)Total Consensus Domain, RDAS22.5988 units on a scale
Control Arm - PartnerRevised Dyadic Adjustment Scale (RDAS)Subdomain: Decision Making. Consensus Domain, RDAS7.7975 units on a scale
Control Arm - PartnerRevised Dyadic Adjustment Scale (RDAS)Total RDAS48.4138 units on a scale
Control Arm - PartnerRevised Dyadic Adjustment Scale (RDAS)Total Satisfaction Domain, RDAS14.6276 units on a scale
Control Arm - PartnerRevised Dyadic Adjustment Scale (RDAS)Total Cohesion Domain, RDAS11.2067 units on a scale
Control Arm - PartnerRevised Dyadic Adjustment Scale (RDAS)Subdomain: Discussion. Cohesion Domain, RDAS6.5975 units on a scale
Control Arm - PartnerRevised Dyadic Adjustment Scale (RDAS)Subdomain: Stability. Satisfaction Domain, RDAS8.2289 units on a scale
Control Arm - PartnerRevised Dyadic Adjustment Scale (RDAS)Subdomain: Values. Consensus Domain, RDAS7.5449 units on a scale
Control Arm - PartnerRevised Dyadic Adjustment Scale (RDAS)Subdomain: Conflict. Satisfaction Domain, RDAS6.3987 units on a scale
Control Arm - PartnerRevised Dyadic Adjustment Scale (RDAS)Subdomain: Affection. Consensus Domain, RDAS7.2958 units on a scale
Control Arm - PartnerRevised Dyadic Adjustment Scale (RDAS)Subdomain: Activities. Cohesion Domain, RDAS4.6058 units on a scale
Comparison: Analysis performed on Total RDAS as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.8991Mixed Models Analysis
Comparison: Analysis performed on Decision Making Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.3711Mixed Models Analysis
Comparison: Analysis performed on Values Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.428Mixed Models Analysis
Comparison: Analysis performed on Affection Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.9831Mixed Models Analysis
Comparison: Analysis performed on Total Consensus Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.632Mixed Models Analysis
Comparison: Analysis performed on Stability Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.9755Mixed Models Analysis
Comparison: Analysis performed on Conflict Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.7584Mixed Models Analysis
Comparison: Analysis performed on Total Satisfaction Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.9313Mixed Models Analysis
Comparison: Analysis performed on Activities Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.5401Mixed Models Analysis
Comparison: Analysis performed on Discussion Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.9421Mixed Models Analysis
Comparison: Analysis performed on Total Cohesion Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.7042Mixed Models Analysis
Comparison: Analysis performed on Total RDAS Score as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.0114Mixed Models Analysis
Comparison: Analysis performed on Decision Making Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1358Mixed Models Analysis
Comparison: Analysis performed on Values Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.4354Mixed Models Analysis
Comparison: Analysis performed on AffectionSubdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.007Mixed Models Analysis
Comparison: Analysis performed on Total Consensus Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.0217Mixed Models Analysis
Comparison: Analysis performed on Stability Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.7881Mixed Models Analysis
Comparison: Analysis performed on Conflict Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.001Mixed Models Analysis
Comparison: Analysis performed on Total Satisfaction Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.0693Mixed Models Analysis
Comparison: Analysis performed on Activities Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1184Mixed Models Analysis
Comparison: Analysis performed on Discussion Subdomain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1301Mixed Models Analysis
Comparison: Analysis performed on Total Cohesion Domain as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1049Mixed Models Analysis
Other Pre-specified

Stress: Perceived Stress Scale (PSS)

10 Likert-scaled items, validated and widely used, to determine perceived stress levels. Perceived Stress Scale (PSS) scaled from 0 to 40 with higher scores indicating higher perceived stress.

Time frame: Baseline, month 1,2,4

Population: Multilinear model analyses were performed. Results provided are the Least Squares Mean and 95% C.I. for the two treatment arms. This is the least squares mean for the treatment variable averaged across all timepoints, after having controlled for other covariates. Instrument was administered only to Veterans who had been activated in the protocol. Participants who opted out of responding to certain questions were not included in the analyses.

ArmMeasureValue (LEAST_SQUARES_MEAN)
Treatment ArmStress: Perceived Stress Scale (PSS)22.9251 units on a scale
Control ArmStress: Perceived Stress Scale (PSS)21.9134 units on a scale
Comparison: Analysis performed on Perceived Stress Scale Score as outcome variable. Linear mixed models were constructed with fixed effects terms for the Tx group (MR vs. WC), time (continuous), and a Tx group x time interaction term to test whether the rate of change in the instrument score differed by Tx group. Random effects for the intercept and time were also included. The α p-value for statistical significance was set at 0.01. Borderline statistical significance was considered to be \<0.1.p-value: 0.1792Mixed Models Analysis

Source: ClinicalTrials.gov · Data processed: Mar 3, 2026