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mVIP (Use of mHealth Technology for Supporting Symptom Management in Underserved Persons Living With HIV)

Use of mHealth Technology for Supporting Symptom Management in Underserved Persons Living With HIV

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02897141
Acronym
mVIP
Enrollment
80
Registered
2016-09-13
Start date
2016-12-12
Completion date
2017-06-08
Last updated
2019-03-26

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

Conditions

HIV (Human Immunodeficiency Virus)

Keywords

HIV, Health Management App, HIV symptoms

Brief summary

The goal of this study is to facilitate the dissemination and implementation of patient centered outcomes research using mHealth technology to improve self-management of adverse symptoms in persons living with HIV/AIDS (PLWH). Symptom management in PLWH is especially important because the US HIV epidemic continues to exact a huge toll, especially among Agency for Healthcare Research and Quality (AHRQ) priority populations including racial, ethnic, and sexual minorities and low-income persons. The incorporation of HIV symptom management strategies into patients' lives through the use of mHealth technologies has the potential to advance the effective dissemination and implementation of patient centered outcomes research findings.

Detailed description

HIV has changed from an acute illness to a chronic disease. The success of HIV medications and treatments has significantly altered the course of the disease. While AIDS-related illnesses are no longer the primary threat, a new set of HIV-associated complications have emerged, resulting in a chronic disease that for many will span several decades of life. The ability to self-manage adverse symptoms of HIV illness has been shown to improve patient-centered outcomes. In response to this need, a team at University of California, San Francisco (UCSF) developed a paper-based symptom management manual with self-management strategies for 21 common HIV/AIDS adverse symptoms (PCOR evidence). The efficacy of the manual was demonstrated in a 775-person randomized controlled trial (RCT) over three months at 12 sites. However, subsequent use of these strategies has been very limited; mHealth offers an ideal platform for the implementation and dissemination of evidence-based strategies for HIV symptom management. Due to the high incidence of HIV among racial and ethnic minority populations, it is appropriate to develop mHealth tools tailored to the needs of these populations. mHealth technology has the potential to address many of the healthcare needs of persons living with HIV/AIDS (PLWH) including symptom management. In response to these current issues, this study seeks to inform the development and testing of a mHealth application that will incorporate findings from PCOR studies to improve the outcomes of PLWH. To improve outcomes for those most in need, study activities are focused on communities with the greatest burden of HIV in the US, including racial and ethnic minorities and those of low socioeconomic status.

Interventions

DEVICEHealth Management App with symptom strategies

The mVIP group will receive a Health Management App with symptom strategies. A mobile app which includes symptom strategies from the UCSF symptom management manual.

The attention control group will receive an app which asked them about their symptoms but did not provide symptoms strategies

Sponsors

Columbia University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
DOUBLE (Subject, Outcomes Assessor)

Eligibility

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

Inclusion criteria

1. Diagnosed with HIV/AIDS 2. Over the age of 18 years 3. Able to provide written informed consent 4. Able to communicate in English 5. Health literacy level of marginal or inadequate (as measured by the Newest Vital Sign (NVS): total score of 3 or lower) 6. Report at least 2 HIV related adverse symptoms in the past week 7. Owner of a smart phone/tablet.

Exclusion criteria

1. Inability to communicate in English 2. Documented diagnosis of dementia 3. Pregnancy 4. Unable to understand consent procedure 5. Self-reporting no adverse symptoms within the past week. (HIV-related symptoms include: anxiety, constipation, cough, depression, diarrhea, dizziness, fever, forgetfulness, fatigue, nausea, night sweats, neuropathy, shortness of breath, dermatitis, swelling of arms, hand, legs, feet, insomnia, weight loss, oral thrush, and vaginal itching, burning and discharge)

Design outcomes

Primary

MeasureTime frameDescription
Change in Symptom Status From Baseline to Week 12Baseline and 12 weeksChange in Symptom Status calculates the difference in symptom scores between the intervention and control groups at baseline versus follow-up after 12 weeks. Symptom scores were determined using the Revised Sign and Symptom Check-List for HIV (SSC-HIVrev), where participants who reported experiencing any one of the 13 symptoms in the past 7 days were asked how much it bothered them (a little bit, somewhat, quite a bit, or very much). Instances where the symptom did not bother the individual were coded as 0 whereas instances where the symptom bothered the individual any amount were recoded as 1. The overall difference between groups at baseline and after 12 weeks (difference of differences) falls within a range of -1 to 1, where lower numbers indicate the symptom bothered the person less, while higher numbers indicate it bothered them more. With the Difference Between Groups, a more negative score (closer to -1) represents a better outcome.

Secondary

MeasureTime frameDescription
Change in Quality of Life -- RAND-36Baseline and 12 weeks36-Item Short Form Survey (RAND-36) is a widely-used 36-item tool to measure health-related quality of life, where each item in the scale is scored as 0, 25, 50, 75, or 100. Scoring is a two-step process. First, precoded numeric values are recoded per the scoring key so that all items are scored so that a high score defines a more favorable health state. In addition, each item is scored on a 0 to 100 range so that the lowest and highest possible scores are 0 and 100, respectively. Scores represent the percentage of total possible score achieved. In step 2, items in the same scale are averaged together to create the 8 scale scores, where a lower score may indicate a better outcome for some of the scales, while it may indicate a better outcome for others.
Patient-Reported Outcomes Measurement Information System (PROMIS)-2912 weeksThe PROMIS-29 includes seven health related quality of life domains on a 5-point scale from a score of 1 to 5 and the pain domain has two subdomains (interference and intensity) where pain intensity is assessed using a single 11-point numeric rating scale anchored between no pain (0) and worse imaginable pain (10). Raw scores are transformed using the T-score metric based on the item response theory calibrations in which scores have a mean of 50 and standard deviation of 10 for the general population in the US. T-scores can be estimated using the scoring tables listed in the PROMIS manuals. A higher PROMIS T-score implies more of the concept being measured; for instance, a higher PROMIS score on physical function indicates better functioning, whereas a higher score on depression indicates a greater severity of depression.
Engagement With Healthcare ProviderBaseline and 12 weeksEngagement with Health Care Provide scale is a 13-item scale in which subjects rate their interactions with their health care providers on a four-point scale with 1=always true and 4=never true in which a lower score indicates a better outcome. The scores are then collated to an aggregate score where the minimum value = 13 and the maximum value = 52. A low score indicates greater provider engagement, where as higher scores indicate lower provider engagement (less favorable outcome). The difference in scores at baseline and follow-up at three months was calculated within both the intervention and control groups, and the difference was then taken between the resulting means of those scores.
Medication Adherence12 weeksMedication adherence was calculated by two scales: the Center for Adherence Support Evaluation (CASE) Adherence Index and the Visual Analogue Scale (VAS). The CASE Adherence Index consists of the composite scores of three questions evaluating self-reported measures of adherence. The minimum score on this scale is 3 while the maximum score on this scale is 16, with higher scores indicating better outcome. Scores greater than 10 indicate good adherence, while scores less than or equal to 10 indicate poor adherence. The VAS asks subjects to indicate a point on a line that shows their best guess about how much of each drug they have taken from a scale of 0% to 100% in which 0% means they have taken no drug, 50% means they have taken half their drugs, and 100% means they have taken every single dose. Consequently, a higher score (100%) indicates
Health-IT Usability Evaluation Scale (Health-ITUES)12 weeksHealth Information Technology Usability Evaluation Scale (Health-ITUES) was used to measure usability. Health-ITUES consists of 20 items rated on a 5-point Likert scale from strongly disagree (score of 1) to strongly agree (score of 5) measuring actual usage, intention to use, satisfaction, perceived usefulness, perceived ease of use, perceived performance speed, learnability, competency, flexibility/customizability, memorability, error prevention, information needs, and other outcomes. A higher score (5) indicates higher usability. Overall score was calculated as the mean score from the score for quality of life, perceived usefulness, perceived ease of use, and user control.

Countries

United States

Participant flow

Participants by arm

ArmCount
mVIP Group
This group will receive targeted symptom strategies from the UCSF symptom management manual based on the symptoms that they report. Health Management App with symptom strategies: The mVIP group will receive a Health Management App with symptom strategies. A mobile app which includes symptom strategies from the UCSF symptom management manual.
40
Attention Control Group
This group will have the Health Management App without symptom strategies pre-loaded on their smartphones. Health Management App without symptom strategies: The attention control group will receive the Health Management App preloaded on their smartphones without symptoms strategies
40
Total80

Baseline characteristics

CharacteristicAttention Control GroupTotalmVIP Group
Age, Continuous50.8 years
STANDARD_DEVIATION 9
50.4 years
STANDARD_DEVIATION 10.4
50 years
STANDARD_DEVIATION 11.7
Annual income
$10,000-$19,999/year
10 Participants19 Participants9 Participants
Annual income
$20,000-$59,999/year
8 Participants11 Participants3 Participants
Annual income
Don't know or prefer not to answer
5 Participants11 Participants6 Participants
Annual income
Less than $10,000/year
17 Participants39 Participants22 Participants
Antiretroviral therapy (ART) Use
1 pill per day
20 Participants41 Participants21 Participants
Antiretroviral therapy (ART) Use
2+ pills per day
19 Participants34 Participants15 Participants
Antiretroviral therapy (ART) Use
None
1 Participants4 Participants3 Participants
Antiretroviral therapy (ART) Use
Prefer not to answer
0 Participants1 Participants1 Participants
Cluster of Differentiation 4 (CD4) count greater than 50020 Participants42 Participants22 Participants
Education
Bachelors or advanced degree
8 Participants13 Participants5 Participants
Education
High school
14 Participants25 Participants11 Participants
Education
Less than high school
5 Participants14 Participants9 Participants
Education
Some college or associates degree
13 Participants28 Participants15 Participants
Employment
Disabled
16 Participants27 Participants11 Participants
Employment
Retired
1 Participants4 Participants3 Participants
Employment
Student
2 Participants4 Participants2 Participants
Employment
Unemployed (looking, not looking)
11 Participants26 Participants15 Participants
Employment
Unspecified
2 Participants4 Participants2 Participants
Employment
Working (full, part, off-books)
8 Participants15 Participants7 Participants
Ever diagnosed with AIDS24 Participants41 Participants17 Participants
Possible alcohol use disorder10 Participants25 Participants15 Participants
Race/Ethnicity, Customized
Race
Black, non-hispanic
26 Participants55 Participants29 Participants
Race/Ethnicity, Customized
Race
Hispanic
10 Participants17 Participants7 Participants
Race/Ethnicity, Customized
Race
White, non-hispanic
4 Participants8 Participants4 Participants
Region of Enrollment
United States
40 participants80 participants40 participants
Sex: Female, Male
Female
17 Participants42 Participants25 Participants
Sex: Female, Male
Male
23 Participants38 Participants15 Participants
Substance use weekly or more often9 Participants24 Participants15 Participants
Virologically suppressed34 Participants68 Participants34 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 400 / 40
other
Total, other adverse events
0 / 400 / 40
serious
Total, serious adverse events
0 / 400 / 40

Outcome results

Primary

Change in Symptom Status From Baseline to Week 12

Change in Symptom Status calculates the difference in symptom scores between the intervention and control groups at baseline versus follow-up after 12 weeks. Symptom scores were determined using the Revised Sign and Symptom Check-List for HIV (SSC-HIVrev), where participants who reported experiencing any one of the 13 symptoms in the past 7 days were asked how much it bothered them (a little bit, somewhat, quite a bit, or very much). Instances where the symptom did not bother the individual were coded as 0 whereas instances where the symptom bothered the individual any amount were recoded as 1. The overall difference between groups at baseline and after 12 weeks (difference of differences) falls within a range of -1 to 1, where lower numbers indicate the symptom bothered the person less, while higher numbers indicate it bothered them more. With the Difference Between Groups, a more negative score (closer to -1) represents a better outcome.

Time frame: Baseline and 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
InterventionChange in Symptom Status From Baseline to Week 12Skin problems-0.219 score on a scaleStandard Error 0.091
InterventionChange in Symptom Status From Baseline to Week 12Fever, chills, sweats-0.360 score on a scaleStandard Error 0.086
InterventionChange in Symptom Status From Baseline to Week 12Difficulty remembering-0.343 score on a scaleStandard Error 0.095
InterventionChange in Symptom Status From Baseline to Week 12Depression-0.540 score on a scaleStandard Error 0.106
InterventionChange in Symptom Status From Baseline to Week 12Fatigue-0.566 score on a scaleStandard Error 0.115
InterventionChange in Symptom Status From Baseline to Week 12Dizziness-0.319 score on a scaleStandard Error 0.083
InterventionChange in Symptom Status From Baseline to Week 12Anxiety-0.858 score on a scaleStandard Error 0.102
InterventionChange in Symptom Status From Baseline to Week 12Cough of Shortness of Breath-0.570 score on a scaleStandard Error 0.105
InterventionChange in Symptom Status From Baseline to Week 12Neuropathy-0.713 score on a scaleStandard Error 0.103
InterventionChange in Symptom Status From Baseline to Week 12Diarrhea-0.240 score on a scaleStandard Error 0.092
InterventionChange in Symptom Status From Baseline to Week 12Weight loss or wasting-0.254 score on a scaleStandard Error 0.07
InterventionChange in Symptom Status From Baseline to Week 12Nausea or vomiting-0.122 score on a scaleStandard Error 0.066
InterventionChange in Symptom Status From Baseline to Week 12Difficulty falling asleep-0.506 score on a scaleStandard Error 0.106
ControlChange in Symptom Status From Baseline to Week 12Dizziness-0.181 score on a scaleStandard Error 0.095
ControlChange in Symptom Status From Baseline to Week 12Anxiety-0.318 score on a scaleStandard Error 0.118
ControlChange in Symptom Status From Baseline to Week 12Cough of Shortness of Breath-0.421 score on a scaleStandard Error 0.122
ControlChange in Symptom Status From Baseline to Week 12Depression-0.007 score on a scaleStandard Error 0.123
ControlChange in Symptom Status From Baseline to Week 12Diarrhea-0.233 score on a scaleStandard Error 0.107
ControlChange in Symptom Status From Baseline to Week 12Difficulty falling asleep-0.433 score on a scaleStandard Error 0.122
ControlChange in Symptom Status From Baseline to Week 12Difficulty remembering-0.169 score on a scaleStandard Error 0.11
ControlChange in Symptom Status From Baseline to Week 12Fatigue-0.563 score on a scaleStandard Error 0.132
ControlChange in Symptom Status From Baseline to Week 12Fever, chills, sweats-0.084 score on a scaleStandard Error 0.099
ControlChange in Symptom Status From Baseline to Week 12Nausea or vomiting-0.185 score on a scaleStandard Error 0.077
ControlChange in Symptom Status From Baseline to Week 12Neuropathy-0.228 score on a scaleStandard Error 0.119
ControlChange in Symptom Status From Baseline to Week 12Skin problems-0.089 score on a scaleStandard Error 0.105
ControlChange in Symptom Status From Baseline to Week 12Weight loss or wasting-0.004 score on a scaleStandard Error 0.081
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Fever, chills, sweats-0.275 score on a scaleStandard Error 0.132
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Diarrhea-0.007 score on a scaleStandard Error 0.141
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Skin problems-0.130 score on a scaleStandard Error 0.139
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Nausea or vomiting0.063 score on a scaleStandard Error 0.101
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Depression-0.533 score on a scaleStandard Error 0.163
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Anxiety-0.541 score on a scaleStandard Error 0.156
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Neuropathy-0.485 score on a scaleStandard Error 0.157
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Dizziness-0.138 score on a scaleStandard Error 0.126
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Difficulty remembering-0.174 score on a scaleStandard Error 0.145
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Cough of Shortness of Breath-0.149 score on a scaleStandard Error 0.161
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Fatigue-0.003 score on a scaleStandard Error 0.175
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Difficulty falling asleep-0.073 score on a scaleStandard Error 0.162
Difference Between GroupsChange in Symptom Status From Baseline to Week 12Weight loss or wasting-0.250 score on a scaleStandard Error 0.107
Comparison: Anxietyp-value: 0.001Mixed Models Analysis
Comparison: Cough or Shortness of Breathp-value: 0.356Mixed Models Analysis
Comparison: Depressionp-value: 0.001Mixed Models Analysis
Comparison: Diarrheap-value: 0.962Mixed Models Analysis
Comparison: Difficulty falling or staying asleepp-value: 0.651Mixed Models Analysis
Comparison: Difficulty rememberingp-value: 0.23Mixed Models Analysis
Comparison: Dizzinessp-value: 0.275Mixed Models Analysis
Comparison: Fatiguep-value: 0.987Mixed Models Analysis
Comparison: Fever, chills, sweatsp-value: 0.037Mixed Models Analysis
Comparison: Nausea or vomitingp-value: 0.534Mixed Models Analysis
Comparison: Neuropathyp-value: 0.002Mixed Models Analysis
Comparison: Skin problemsp-value: 0.349Mixed Models Analysis
Comparison: Weight loss or wastingp-value: 0.02Mixed Models Analysis
Secondary

Change in Quality of Life -- RAND-36

36-Item Short Form Survey (RAND-36) is a widely-used 36-item tool to measure health-related quality of life, where each item in the scale is scored as 0, 25, 50, 75, or 100. Scoring is a two-step process. First, precoded numeric values are recoded per the scoring key so that all items are scored so that a high score defines a more favorable health state. In addition, each item is scored on a 0 to 100 range so that the lowest and highest possible scores are 0 and 100, respectively. Scores represent the percentage of total possible score achieved. In step 2, items in the same scale are averaged together to create the 8 scale scores, where a lower score may indicate a better outcome for some of the scales, while it may indicate a better outcome for others.

Time frame: Baseline and 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
InterventionChange in Quality of Life -- RAND-36Physical Functioning Scale66.22 score on a scaleStandard Deviation 31.39
InterventionChange in Quality of Life -- RAND-36Role limitations due to physical health scale55.41 score on a scaleStandard Deviation 41.72
InterventionChange in Quality of Life -- RAND-36Role limitations due to emotional problems scale62.16 score on a scaleStandard Deviation 43.86
InterventionChange in Quality of Life -- RAND-36Energy/fatigue scale51.35 score on a scaleStandard Deviation 18.24
InterventionChange in Quality of Life -- RAND-36Emotional well-being scale68.11 score on a scaleStandard Deviation 15.42
InterventionChange in Quality of Life -- RAND-36Social functioning scale66.89 score on a scaleStandard Deviation 20.88
InterventionChange in Quality of Life -- RAND-36Pain scale69.12 score on a scaleStandard Deviation 20.41
InterventionChange in Quality of Life -- RAND-36General health scale60.95 score on a scaleStandard Deviation 21.34
InterventionChange in Quality of Life -- RAND-36Physical health summary scale63.18 score on a scaleStandard Deviation 23.8
InterventionChange in Quality of Life -- RAND-36Mental health summary scale61.94 score on a scaleStandard Deviation 18.53
ControlChange in Quality of Life -- RAND-36General health scale60 score on a scaleStandard Deviation 21.28
ControlChange in Quality of Life -- RAND-36Physical Functioning Scale65.11 score on a scaleStandard Deviation 28.97
ControlChange in Quality of Life -- RAND-36Social functioning scale65.06 score on a scaleStandard Deviation 26.47
ControlChange in Quality of Life -- RAND-36Role limitations due to physical health scale61.54 score on a scaleStandard Deviation 41.3
ControlChange in Quality of Life -- RAND-36Mental health summary scale65.83 score on a scaleStandard Deviation 20.7
ControlChange in Quality of Life -- RAND-36Role limitations due to emotional problems scale66.66 score on a scaleStandard Deviation 41.43
ControlChange in Quality of Life -- RAND-36Pain scale63.14 score on a scaleStandard Deviation 27.98
ControlChange in Quality of Life -- RAND-36Energy/fatigue scale56.54 score on a scaleStandard Deviation 19.67
ControlChange in Quality of Life -- RAND-36Physical health summary scale63.03 score on a scaleStandard Deviation 21.78
ControlChange in Quality of Life -- RAND-36Emotional well-being scale73.23 score on a scaleStandard Deviation 19.03
Comparison: Physical functioning scalep-value: 0.001Mixed Models Analysis
Comparison: Role limitations due to physical health scalep-value: 0.458Mixed Models Analysis
Comparison: Role limitations due to emotional problems scalep-value: 0.725Mixed Models Analysis
Comparison: Energy/fatigue scalep-value: 0.807Mixed Models Analysis
Comparison: Emotional well-being scalep-value: 0.693Mixed Models Analysis
Comparison: Social functioning scalep-value: 0.128Mixed Models Analysis
Comparison: Pain scalep-value: 0.007Mixed Models Analysis
Comparison: General health scalep-value: 0.96Mixed Models Analysis
Comparison: Physical health summary scalep-value: 0.836Mixed Models Analysis
Comparison: Mental health summary scalep-value: 0.822Mixed Models Analysis
Secondary

Engagement With Healthcare Provider

Engagement with Health Care Provide scale is a 13-item scale in which subjects rate their interactions with their health care providers on a four-point scale with 1=always true and 4=never true in which a lower score indicates a better outcome. The scores are then collated to an aggregate score where the minimum value = 13 and the maximum value = 52. A low score indicates greater provider engagement, where as higher scores indicate lower provider engagement (less favorable outcome). The difference in scores at baseline and follow-up at three months was calculated within both the intervention and control groups, and the difference was then taken between the resulting means of those scores.

Time frame: Baseline and 12 weeks

ArmMeasureValue (MEAN)Dispersion
InterventionEngagement With Healthcare Provider16.65 score on a scaleStandard Deviation 6.09
ControlEngagement With Healthcare Provider17.59 score on a scaleStandard Deviation 7.56
p-value: 0.252Mixed Models Analysis
Secondary

Health-IT Usability Evaluation Scale (Health-ITUES)

Health Information Technology Usability Evaluation Scale (Health-ITUES) was used to measure usability. Health-ITUES consists of 20 items rated on a 5-point Likert scale from strongly disagree (score of 1) to strongly agree (score of 5) measuring actual usage, intention to use, satisfaction, perceived usefulness, perceived ease of use, perceived performance speed, learnability, competency, flexibility/customizability, memorability, error prevention, information needs, and other outcomes. A higher score (5) indicates higher usability. Overall score was calculated as the mean score from the score for quality of life, perceived usefulness, perceived ease of use, and user control.

Time frame: 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
InterventionHealth-IT Usability Evaluation Scale (Health-ITUES)Quality of Life4.50 score on a scaleStandard Deviation 0.59
InterventionHealth-IT Usability Evaluation Scale (Health-ITUES)Perceived ease of use4.64 score on a scaleStandard Deviation 0.83
InterventionHealth-IT Usability Evaluation Scale (Health-ITUES)Perceived usefulness4.23 score on a scaleStandard Deviation 0.91
InterventionHealth-IT Usability Evaluation Scale (Health-ITUES)User control4.32 score on a scaleStandard Deviation 0.82
InterventionHealth-IT Usability Evaluation Scale (Health-ITUES)Overall4.39 score on a scaleStandard Deviation 0.72
ControlHealth-IT Usability Evaluation Scale (Health-ITUES)User control4.05 score on a scaleStandard Deviation 0.93
ControlHealth-IT Usability Evaluation Scale (Health-ITUES)Overall4.35 score on a scaleStandard Deviation 0.63
ControlHealth-IT Usability Evaluation Scale (Health-ITUES)Quality of Life4.35 score on a scaleStandard Deviation 0.78
ControlHealth-IT Usability Evaluation Scale (Health-ITUES)Perceived usefulness4.26 score on a scaleStandard Deviation 0.74
ControlHealth-IT Usability Evaluation Scale (Health-ITUES)Perceived ease of use4.67 score on a scaleStandard Deviation 0.71
Comparison: Overallp-value: 0.743Mixed Models Analysis
Comparison: Quality of lifep-value: 0.166Mixed Models Analysis
Comparison: Perceived usefulnessp-value: 0.899Mixed Models Analysis
Comparison: Perceived ease of usep-value: 0.803Mixed Models Analysis
Comparison: User Controlp-value: 0.48Mixed Models Analysis
Secondary

Medication Adherence

Medication adherence was calculated by two scales: the Center for Adherence Support Evaluation (CASE) Adherence Index and the Visual Analogue Scale (VAS). The CASE Adherence Index consists of the composite scores of three questions evaluating self-reported measures of adherence. The minimum score on this scale is 3 while the maximum score on this scale is 16, with higher scores indicating better outcome. Scores greater than 10 indicate good adherence, while scores less than or equal to 10 indicate poor adherence. The VAS asks subjects to indicate a point on a line that shows their best guess about how much of each drug they have taken from a scale of 0% to 100% in which 0% means they have taken no drug, 50% means they have taken half their drugs, and 100% means they have taken every single dose. Consequently, a higher score (100%) indicates

Time frame: 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
InterventionMedication AdherenceCASE adherence index12.97 score on a scaleStandard Deviation 3.51
InterventionMedication AdherenceVisual analogue scale85.97 score on a scaleStandard Deviation 26.86
ControlMedication AdherenceCASE adherence index12.69 score on a scaleStandard Deviation 3
ControlMedication AdherenceVisual analogue scale87.03 score on a scaleStandard Deviation 20.56
Comparison: CASE adherence indexp-value: 0.017Mixed Models Analysis
Comparison: Visual analogue scalep-value: 0.338Mixed Models Analysis
Secondary

Patient-Reported Outcomes Measurement Information System (PROMIS)-29

The PROMIS-29 includes seven health related quality of life domains on a 5-point scale from a score of 1 to 5 and the pain domain has two subdomains (interference and intensity) where pain intensity is assessed using a single 11-point numeric rating scale anchored between no pain (0) and worse imaginable pain (10). Raw scores are transformed using the T-score metric based on the item response theory calibrations in which scores have a mean of 50 and standard deviation of 10 for the general population in the US. T-scores can be estimated using the scoring tables listed in the PROMIS manuals. A higher PROMIS T-score implies more of the concept being measured; for instance, a higher PROMIS score on physical function indicates better functioning, whereas a higher score on depression indicates a greater severity of depression.

Time frame: 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
InterventionPatient-Reported Outcomes Measurement Information System (PROMIS)-29Depression54.12 T-scoreStandard Deviation 10.46
InterventionPatient-Reported Outcomes Measurement Information System (PROMIS)-29Sleep Disturbance51.21 T-scoreStandard Deviation 9.64
InterventionPatient-Reported Outcomes Measurement Information System (PROMIS)-29Anxiety55.85 T-scoreStandard Deviation 9.19
InterventionPatient-Reported Outcomes Measurement Information System (PROMIS)-29Satisfaction with participation in social roles48.86 T-scoreStandard Deviation 9.01
InterventionPatient-Reported Outcomes Measurement Information System (PROMIS)-29Fatigue51.76 T-scoreStandard Deviation 9.08
InterventionPatient-Reported Outcomes Measurement Information System (PROMIS)-29Pain interference53.60 T-scoreStandard Deviation 7.9
InterventionPatient-Reported Outcomes Measurement Information System (PROMIS)-29Physical Function44.69 T-scoreStandard Deviation 9.09
ControlPatient-Reported Outcomes Measurement Information System (PROMIS)-29Pain interference53.25 T-scoreStandard Deviation 9.84
ControlPatient-Reported Outcomes Measurement Information System (PROMIS)-29Physical Function45.70 T-scoreStandard Deviation 9.18
ControlPatient-Reported Outcomes Measurement Information System (PROMIS)-29Anxiety55.12 T-scoreStandard Deviation 10.56
ControlPatient-Reported Outcomes Measurement Information System (PROMIS)-29Depression50.53 T-scoreStandard Deviation 9.63
ControlPatient-Reported Outcomes Measurement Information System (PROMIS)-29Fatigue50.16 T-scoreStandard Deviation 9.89
ControlPatient-Reported Outcomes Measurement Information System (PROMIS)-29Sleep Disturbance52.85 T-scoreStandard Deviation 9.26
ControlPatient-Reported Outcomes Measurement Information System (PROMIS)-29Satisfaction with participation in social roles49.18 T-scoreStandard Deviation 8.72
Comparison: Physical Functionp-value: 0.529Mixed Models Analysis
Comparison: Anxietyp-value: 0.312Mixed Models Analysis
Comparison: Depressionp-value: 0.841Mixed Models Analysis
Comparison: Fatiguep-value: 0.848Mixed Models Analysis
Comparison: Sleep Disturbancep-value: 0.208Mixed Models Analysis
Comparison: Satisfaction with participation in social rolesp-value: 0.754Mixed Models Analysis
Comparison: Pain interferencep-value: 0.454Mixed Models Analysis

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026