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Improving Medication Adherence Among Underserved Patients With Type 2 Diabetes

Improving Medication Adherence Among Underserved Patients With Type 2 Diabetes

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02409329
Enrollment
512
Registered
2015-04-06
Start date
2016-05-23
Completion date
2019-06-04
Last updated
2020-08-17

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

Conditions

Diabetes Mellitus, Type 2

Brief summary

This study evaluates a mobile phone-delivered intervention, called REACH (Rapid Education/Encouragement And Communications for Health), in supporting adults with type 2 diabetes in their self-management relative to a control group. The goal of this study is to determine if individually tailored content (based on the Information-Motivation-Behavioral Skills Model) delivered to the participant via text messages can improve the participant's glycemic control and adherence to diabetes medications. We will test whether our intervention improves adherence-related information, motivation, and behavioral skills and whether improving these mechanisms drives improvements in adherence and, in turn, glycemic control.

Interventions

BEHAVIORALREACH

The intervention consists of daily text messaging tailored to user's individual barriers to medication adherence, text messages assessing user's adherence with feedback on progress, plus text messaging targeting other self-care behaviors.

BEHAVIORALHelpline and A1c results

Participants complete study assessments, receive text messages advising how to access study A1c results, receive quarterly newsletters on healthy living with diabetes, and have access to a helpline for study- or diabetes medication-related questions.

BEHAVIORALREACH + FAMS

The intervention consists of REACH individually-focused text messaging, plus family-focused phone coaching session, goal-focused text messaging, and the option to invite a family member/support person to receive text messaging.

Sponsors

National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
CollaboratorNIH
Vanderbilt University Medical Center
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
SINGLE (Outcomes Assessor)

Eligibility

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

Inclusion criteria

* Adults aged 18 years and older * Individuals who have received a diagnosis for type 2 diabetes mellitus * Enrolled as a patient at a participating community health center * Individuals currently being treated with oral and/or injectable diabetes medications

Exclusion criteria

* Non-English speakers * Individuals who report they do not have a cell phone * Individuals unwilling and/or not able to provide written informed consent * Individuals with unintelligible speech (e.g., dysarthria) * Individuals with a severe hearing or visual impairment * Individuals who report a caregiver administers their diabetes medications Individuals who fail the cognitive screener administered during the baseline survey * Individuals who cannot receive, read, and respond to a text after instruction from a trained research assistant * Individuals whose most recent (within 12 months) HbA1c value was 6.8% or greater

Design outcomes

Primary

MeasureTime frameDescription
Change in Glycemic Control as Indicated by Hemoglobin A1c (HbA1c)Baseline, 3 months, 6 months, 12 months, 15 monthsas measured by Hemoglobin A1c (%) with higher values indicating worse glycemic control and an improvement of 0.5% considered clinically meaningful

Secondary

MeasureTime frameDescription
Change in Self-reported Medication AdherenceBaseline, 3 months, 6 months, 12 months, 15 monthsas measured by the Summary of Diabetes Self-Care Activities (SDSCA) Medications subscale; response options are days in the last week ranging from 0 to 7, with 7 representing perfect adherence

Other

MeasureTime frameDescription
Change in Adherence to Dietary BehaviorBaseline, 3 months, 6 months, 12 months, 15 monthsas measured by the Personal Diabetes Questionnaire diet subscale Use of information for decision making; possible range 1-6, higher indicates more use of dietary information (better)
Change in Physical ActivityBaseline, 3 months, 6 months, 12 months, 15 monthsas measured by International Physical Activity Questionnaire-Short form \[metabolic equivalent minutes (MET-minutes) per week\] where more MET-minutes per week indicates more physical activity
Change in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. ControlBaseline, 3 months, 6 months, 12 months, 15 monthsas measured by hemoglobin A1c (HbA1c, %) We may be under-powered to for these comparative analyses.

Countries

United States

Participant flow

Pre-assignment details

6 participants were administratively withdrawn prior to randomization; 5 were unreachable during a pre-determined run-in period after enrollment, 1 behaved inappropriately with a research assistant during enrollment

Participants by arm

ArmCount
REACH
Participants will receive REACH text messages (individual-focused text messaging tailored to user's individual barriers to adherence and targeted to address other self-care behaviors) for 12 months. All participants will also receive text messages advising how to access their study A1c test results, receive quarterly newsletters on healthy living with diabetes, and have access to a Helpline for study- and diabetes medication-related questions. REACH: The intervention consists of daily text messaging tailored to user's individual barriers to medication adherence, text messages assessing user's adherence with feedback on progress, plus text messaging targeting other self-care behaviors. Helpline and A1c results: Participants complete study assessments, receive text messages advising how to access study A1c results, receive quarterly newsletters on healthy living with diabetes, and have access to a helpline for study- or diabetes medication-related questions.
127
REACH + FAMS
In addition to the REACH text messages tailored to user's individual barriers to adherence, participants will receive FAMS components (monthly phone coaching and text messages supporting a goal set in coaching, plus the option to invite a family member/support person to receive text messages) for 6 months. After six months, participants in this arm will receive REACH text messages only. All participants will also receive text messages advising how to access their study A1c test results, receive quarterly newsletters on healthy living with diabetes, and have access to a Helpline for study- and diabetes medication-related questions. Helpline and A1c results: Participants complete study assessments, receive text messages advising how to access study A1c results, receive quarterly newsletters on healthy living with diabetes, and have access to a helpline for study- or diabetes medication-related questions. REACH + FAMS: The intervention consists of REACH individually-focused text mes
126
Helpline and A1c Results
Participants assigned to the control group will complete measures at each time point and maintain care as usual (i.e., medical treatment and physician monitoring). All participants will receive text messages advising how to access their study A1c test results, receive quarterly newsletters on healthy living with diabetes, and have access to a Helpline for study- and diabetes medication-related questions. Helpline and A1c results: Participants complete study assessments, receive text messages advising how to access study A1c results, receive quarterly newsletters on healthy living with diabetes, and have access to a helpline for study- or diabetes medication-related questions.
253
Total506

Baseline characteristics

CharacteristicREACHREACH + FAMSHelpline and A1c ResultsTotal
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
18 Participants29 Participants47 Participants94 Participants
Age, Categorical
Between 18 and 65 years
109 Participants97 Participants206 Participants412 Participants
Age, Continuous55.8 years
STANDARD_DEVIATION 9.4
55.7 years
STANDARD_DEVIATION 10.2
56.1 years
STANDARD_DEVIATION 9.4
55.9 years
STANDARD_DEVIATION 9.6
Ethnicity (NIH/OMB)
Hispanic or Latino
8 Participants8 Participants15 Participants31 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
116 Participants111 Participants224 Participants451 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
3 Participants7 Participants14 Participants24 Participants
Hemoglobin A1c (%)8.72 percent
STANDARD_DEVIATION 1.79
8.56 percent
STANDARD_DEVIATION 1.9
8.53 percent
STANDARD_DEVIATION 1.8
8.58 percent
STANDARD_DEVIATION 1.82
Medication Adherence - Adherence to Refills and Medications Scale for Diabetes39.90 score on a scale
STANDARD_DEVIATION 3.74
39.66 score on a scale
STANDARD_DEVIATION 3.54
40.21 score on a scale
STANDARD_DEVIATION 3.34
39.99 score on a scale
STANDARD_DEVIATION 3.54
Medication Adherence - Summary of Diabetes Self-Care Activities medication subscale6.25 days in a week
STANDARD_DEVIATION 1.37
6.37 days in a week
STANDARD_DEVIATION 1.09
6.41 days in a week
STANDARD_DEVIATION 1.16
6.36 days in a week
STANDARD_DEVIATION 1.2
MET-minutes per week - International Physical Activity Questionnaire-short form2565.11 MET-minutes per week
STANDARD_DEVIATION 3108.48
1836.23 MET-minutes per week
STANDARD_DEVIATION 2183.39
2348.91 MET-minutes per week
STANDARD_DEVIATION 2853.58
2274.58 MET-minutes per week
STANDARD_DEVIATION 2777.96
Problem eating behaviors - Personal Diabetes Questionnaire3.23 score on a scale
STANDARD_DEVIATION 1.08
3.43 score on a scale
STANDARD_DEVIATION 1.04
3.35 score on a scale
STANDARD_DEVIATION 1.16
3.34 score on a scale
STANDARD_DEVIATION 1.11
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants1 Participants3 Participants4 Participants
Race (NIH/OMB)
Asian
3 Participants2 Participants3 Participants8 Participants
Race (NIH/OMB)
Black or African American
51 Participants49 Participants98 Participants198 Participants
Race (NIH/OMB)
More than one race
2 Participants5 Participants6 Participants13 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
1 Participants0 Participants0 Participants1 Participants
Race (NIH/OMB)
Unknown or Not Reported
6 Participants6 Participants15 Participants27 Participants
Race (NIH/OMB)
White
64 Participants63 Participants128 Participants255 Participants
Region of Enrollment
United States
127 participants126 participants253 participants506 participants
Sex: Female, Male
Female
70 Participants69 Participants135 Participants274 Participants
Sex: Female, Male
Male
57 Participants57 Participants118 Participants232 Participants
Use of dietary information - Personal Diabetes Questionnaire3.09 score on a scale
STANDARD_DEVIATION 1.74
2.85 score on a scale
STANDARD_DEVIATION 1.57
2.96 score on a scale
STANDARD_DEVIATION 1.7
2.97 score on a scale
STANDARD_DEVIATION 1.68

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
3 / 1272 / 1263 / 253
other
Total, other adverse events
0 / 1270 / 1260 / 253
serious
Total, serious adverse events
0 / 1270 / 1260 / 253

Outcome results

Primary

Change in Glycemic Control as Indicated by Hemoglobin A1c (HbA1c)

as measured by Hemoglobin A1c (%) with higher values indicating worse glycemic control and an improvement of 0.5% considered clinically meaningful

Time frame: Baseline, 3 months, 6 months, 12 months, 15 months

Population: We compared participants receiving the REACH intervention (combining REACH and REACH + FAMS) with participants not receiving REACH (in condition Helpline and A1c Results).

ArmMeasureGroupValue (MEAN)Dispersion
REACHChange in Glycemic Control as Indicated by Hemoglobin A1c (HbA1c)3 months8.29 percentStandard Deviation 1.49
REACHChange in Glycemic Control as Indicated by Hemoglobin A1c (HbA1c)6 months8.32 percentStandard Deviation 1.65
REACHChange in Glycemic Control as Indicated by Hemoglobin A1c (HbA1c)12 months8.66 percentStandard Deviation 1.97
REACHChange in Glycemic Control as Indicated by Hemoglobin A1c (HbA1c)15 months8.59 percentStandard Deviation 1.81
Helpline and A1c ResultsChange in Glycemic Control as Indicated by Hemoglobin A1c (HbA1c)15 months8.61 percentStandard Deviation 1.95
Helpline and A1c ResultsChange in Glycemic Control as Indicated by Hemoglobin A1c (HbA1c)3 months8.59 percentStandard Deviation 1.65
Helpline and A1c ResultsChange in Glycemic Control as Indicated by Hemoglobin A1c (HbA1c)12 months8.70 percentStandard Deviation 2.1
Helpline and A1c ResultsChange in Glycemic Control as Indicated by Hemoglobin A1c (HbA1c)6 months8.57 percentStandard Deviation 2.15
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. For the HbA1c model, we allowed for a three-way interaction between time, treatment group, and baseline HbA1c because there was descriptive evidence that the effect was modified by baseline HbA1c values. Multiply imputed data (m=1,000) using chained equations.p-value: 0.049395% CI: [-0.61, -0.017]GEE, Wald test
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. For the HbA1c model, we allowed for a three-way interaction between time, treatment group, and baseline HbA1c because there was descriptive evidence that the effect was modified by baseline HbA1c values. Multiply imputed data (m=1,000) using chained equations.p-value: 0.2695% CI: [-0.38, 0.24]GEE, Wald test
Secondary

Change in Self-reported Medication Adherence

as measured by the Summary of Diabetes Self-Care Activities (SDSCA) Medications subscale; response options are days in the last week ranging from 0 to 7, with 7 representing perfect adherence

Time frame: Baseline, 3 months, 6 months, 12 months, 15 months

Population: We compared participants receiving the REACH intervention (combining REACH and REACH + FAMS) with participants not receiving REACH (in condition Helpline and A1c Results).

ArmMeasureGroupValue (MEAN)Dispersion
REACHChange in Self-reported Medication Adherence3 months6.59 days per weekStandard Deviation 0.96
REACHChange in Self-reported Medication Adherence6 months6.64 days per weekStandard Deviation 0.89
REACHChange in Self-reported Medication Adherence12 months6.50 days per weekStandard Deviation 1.09
REACHChange in Self-reported Medication Adherence15 months6.36 days per weekStandard Deviation 1.22
Helpline and A1c ResultsChange in Self-reported Medication Adherence15 months6.18 days per weekStandard Deviation 1.45
Helpline and A1c ResultsChange in Self-reported Medication Adherence3 months6.38 days per weekStandard Deviation 1.25
Helpline and A1c ResultsChange in Self-reported Medication Adherence12 months6.27 days per weekStandard Deviation 1.46
Helpline and A1c ResultsChange in Self-reported Medication Adherence6 months6.24 days per weekStandard Deviation 1.51
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.p-value: <0.00195% CI: [0.196, 0.615]Wald statistic
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. For the HbA1c model, we allowed for a three-way interaction between time, treatment group, and baseline HbA1c because there was descriptive evidence that the effect was modified by baseline HbA1c values. Multiply imputed data (m=1,000) using chained equations.p-value: 0.00395% CI: [-0.031, 0.45]GEE, Wald test
Secondary

Change in Self-reported Medication Adherence

as measured by the Adherence to Refills and Medications Scale for Diabetes (ARMS-D); reverse coded such that higher scores indicate better adherence on a scale from 11 to 44

Time frame: Baseline, 3 months, 6 months, 12 months, 15 months

Population: We compared participants receiving the REACH intervention (combining REACH and REACH + FAMS) with participants not receiving REACH (in condition Helpline and A1c Results).

ArmMeasureGroupValue (MEAN)Dispersion
REACHChange in Self-reported Medication Adherence3 months40.4 score on a scaleStandard Deviation 3.62
REACHChange in Self-reported Medication Adherence6 months40.6 score on a scaleStandard Deviation 3.48
REACHChange in Self-reported Medication Adherence12 months40.3 score on a scaleStandard Deviation 3.48
REACHChange in Self-reported Medication Adherence15 months40.5 score on a scaleStandard Deviation 3.24
Helpline and A1c ResultsChange in Self-reported Medication Adherence15 months40.4 score on a scaleStandard Deviation 3.9
Helpline and A1c ResultsChange in Self-reported Medication Adherence3 months40.4 score on a scaleStandard Deviation 3.45
Helpline and A1c ResultsChange in Self-reported Medication Adherence12 months40.2 score on a scaleStandard Deviation 3.99
Helpline and A1c ResultsChange in Self-reported Medication Adherence6 months40.2 score on a scaleStandard Deviation 3.49
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.p-value: 0.37695% CI: [-0.012, 1.09]GEE, Wald test
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.p-value: 0.43495% CI: [-0.319, 0.875]GEE, Wald test
Other Pre-specified

Change in Adherence to Dietary Behavior

as measured by the Personal Diabetes Questionnaire diet subscale Use of information for decision making; possible range 1-6, higher indicates more use of dietary information (better)

Time frame: Baseline, 3 months, 6 months, 12 months, 15 months

Population: We compared participants receiving the REACH intervention (combining REACH and REACH + FAMS) with participants not receiving REACH (in condition Helpline and A1c Results).

ArmMeasureGroupValue (MEAN)Dispersion
REACHChange in Adherence to Dietary Behavior3 months3.17 score on a scaleStandard Deviation 1.59
REACHChange in Adherence to Dietary Behavior6 months3.34 score on a scaleStandard Deviation 1.56
REACHChange in Adherence to Dietary Behavior12 months3.22 score on a scaleStandard Deviation 1.58
REACHChange in Adherence to Dietary Behavior15 months3.17 score on a scaleStandard Deviation 1.65
Helpline and A1c ResultsChange in Adherence to Dietary Behavior15 months3.01 score on a scaleStandard Deviation 1.77
Helpline and A1c ResultsChange in Adherence to Dietary Behavior3 months2.84 score on a scaleStandard Deviation 1.58
Helpline and A1c ResultsChange in Adherence to Dietary Behavior12 months2.88 score on a scaleStandard Deviation 1.61
Helpline and A1c ResultsChange in Adherence to Dietary Behavior6 months2.93 score on a scaleStandard Deviation 1.62
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equationsp-value: 0.001295% CI: [0.16, 0.637]GEE, Wald test
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.p-value: 0.00395% CI: [-0.121, 0.426]GEE, Wald test
Other Pre-specified

Change in Adherence to Dietary Behavior

Personal Diabetes Questionnaire diet subscale Problem eating behavior; possible range 1-6 with higher indicating more problem eating behavior (worse)

Time frame: Baseline, 3 months, 6 months, 12 months, 15 months

Population: We compared participants receiving the REACH intervention (combining REACH and REACH + FAMS) with participants not receiving REACH (in condition Helpline and A1c Results).

ArmMeasureGroupValue (MEAN)Dispersion
REACHChange in Adherence to Dietary Behavior3 months3.17 score on a scaleStandard Deviation 1.03
REACHChange in Adherence to Dietary Behavior6 months3.11 score on a scaleStandard Deviation 0.95
REACHChange in Adherence to Dietary Behavior12 months3.09 score on a scaleStandard Deviation 1.07
REACHChange in Adherence to Dietary Behavior15 months3.18 score on a scaleStandard Deviation 1.15
Helpline and A1c ResultsChange in Adherence to Dietary Behavior15 months3.18 score on a scaleStandard Deviation 1.11
Helpline and A1c ResultsChange in Adherence to Dietary Behavior3 months3.28 score on a scaleStandard Deviation 1.13
Helpline and A1c ResultsChange in Adherence to Dietary Behavior12 months3.13 score on a scaleStandard Deviation 1.09
Helpline and A1c ResultsChange in Adherence to Dietary Behavior6 months3.18 score on a scaleStandard Deviation 1.06
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.p-value: 0.63295% CI: [-0.218, 0.095]GEE, Wald test
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.p-value: 0.57295% CI: [-0.202, 1.1]GEE, Wald test
Other Pre-specified

Change in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control

as measured by hemoglobin A1c (HbA1c, %) We may be under-powered to for these comparative analyses.

Time frame: Baseline, 3 months, 6 months, 12 months, 15 months

Population: We compared participants receiving the REACH intervention only with those receiving REACH + FAMS and with participants not receiving REACH (in condition Helpline and A1c Results). This analysis was subsetted to participants with baseline HbA1c greater than or equal to 8.5% with the goal of improved power.

ArmMeasureGroupValue (MEAN)Dispersion
REACHChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control3 months9.12 percentStandard Deviation 1.41
REACHChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control6 months8.88 percentStandard Deviation 1.64
REACHChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control12 months9.45 percentStandard Deviation 1.89
REACHChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control15 months9.28 percentStandard Deviation 1.97
Helpline and A1c ResultsChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control15 months9.41 percentStandard Deviation 1.74
Helpline and A1c ResultsChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control3 months8.98 percentStandard Deviation 1.61
Helpline and A1c ResultsChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control12 months9.57 percentStandard Deviation 2.19
Helpline and A1c ResultsChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control6 months9.14 percentStandard Deviation 1.53
Helpline and A1c ResultsChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control15 months9.57 percentStandard Deviation 2.25
Helpline and A1c ResultsChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control6 months9.74 percentStandard Deviation 2.37
Helpline and A1c ResultsChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control12 months9.67 percentStandard Deviation 2.21
Helpline and A1c ResultsChange in Glycemic Control - REACH Only vs. Control & REACH+FAMS vs. Control3 months9.47 percentStandard Deviation 1.77
Comparison: To evaluate if REACH only and REACH+FAMS had similar effects on HbA1c relative to control, we subsetted to participants with baseline HbA1c greater than or equal to 8.5% to maximize our power for these analyses. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.95% CI: [-1.38, -0.12]
Comparison: To evaluate if REACH only and REACH+FAMS had similar effects on HbA1c relative to control, we subsetted to participants with baseline HbA1c greater than or equal to 8.5% to maximize our power for these analyses. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.95% CI: [-1, 0.39]
Comparison: To evaluate if REACH only and REACH+FAMS had similar effects on HbA1c relative to control, we subsetted to participants with baseline HbA1c greater than or equal to 8.5% to maximize our power for these analyses. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.95% CI: [-1.26, -0.05]
Comparison: To evaluate if REACH only and REACH+FAMS had similar effects on HbA1c relative to control, we subsetted to participants with baseline HbA1c greater than or equal to 8.5% to maximize our power for these analyses. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.95% CI: [-0.96, 0.51]
Other Pre-specified

Change in Physical Activity

as measured by International Physical Activity Questionnaire-Short form \[metabolic equivalent minutes (MET-minutes) per week\] where more MET-minutes per week indicates more physical activity

Time frame: Baseline, 3 months, 6 months, 12 months, 15 months

Population: We compared participants receiving the REACH intervention (combining REACH and REACH + FAMS) with participants not receiving REACH (in condition Helpline and A1c Results).

ArmMeasureGroupValue (MEAN)Dispersion
REACHChange in Physical Activity12 months2573 MET-minutes per weekStandard Deviation 3329
REACHChange in Physical Activity3 months2285 MET-minutes per weekStandard Deviation 2973
REACHChange in Physical Activity15 months2221 MET-minutes per weekStandard Deviation 2973
REACHChange in Physical Activity6 months2332 MET-minutes per weekStandard Deviation 3168
Helpline and A1c ResultsChange in Physical Activity15 months2239 MET-minutes per weekStandard Deviation 2774
Helpline and A1c ResultsChange in Physical Activity6 months1991 MET-minutes per weekStandard Deviation 2547
Helpline and A1c ResultsChange in Physical Activity3 months2139 MET-minutes per weekStandard Deviation 2501
Helpline and A1c ResultsChange in Physical Activity12 months2273 MET-minutes per weekStandard Deviation 2883
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.p-value: 0.70395% CI: [-142, 881]GEE, Wald test
Comparison: Any REACH vs. Helpline and A1c results. We used generalized estimating equations (GEE) with a working-exchangeable correlation structure and identity link, adjusting for baseline and allowing a time-treatment interaction. Multiply imputed data (m=1,000) using chained equations.p-value: 0.46595% CI: [-459, 511]GEE, Wald test

Source: ClinicalTrials.gov · Data processed: Feb 24, 2026