Using Digital Health, Financial Incentives, and Community Health Worker Support to Change Health Behavior

NCT ID: NCT03939793

Last Updated: 2024-09-05

Study Results

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

150 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-05-15

Study Completion Date

2020-07-28

Brief Summary

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This randomized controlled trial tests how digital health monitoring with financial incentives (DFI) and community health worker (CHW) support may affect how a person manages their diabetes. Participants will be randomized to one of three arms: 1) DFI intervention, 2) hybrid DFI/CHW intervention, or 3) usual care. Investigators hypothesize that compared to usual care and DFI alone, the hybrid intervention will lead to more glucose self-monitoring and greater improvements in glycosylated hemoglobin.

Detailed Description

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Low-income Americans struggle to stay healthy in the face of real-life challenges such as housing insecurity or trauma. Two interventions show promise for promoting behavior change and improving health outcomes: digital health interventions coupled with financial incentives (DFI) and community health workers (CHWs). Yet, these interventions have limitations; DFI interventions have low uptake and high attrition among vulnerable populations, while CHW interventions are relatively resource intensive.

Investigators propose a 24-week randomized trial of a hybrid DFI/CHW intervention among a population of 150 low-income patients with diabetes. Participants will be randomized to one of three arms: 1) DFI intervention, 2) hybrid DFI/CHW intervention, 3) usual care. Participants assigned to DFI will receive a free wireless glucometer and be eligible for a lottery incentive if they use their glucometer. Participants assigned to the hybrid DFI/CHW intervention will receive the same glucometer and incentives. If they exhibit low adherence to self-monitoring or poor glucose control, they will also receive support from a CHW who would help patients to address underlying socioeconomic barriers and cope with setbacks. Investigators hypothesize that compared to usual care and DFI alone, the hybrid intervention will lead to more glucose self-monitoring and greater improvements in glycosylated hemoglobin.

Conditions

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Diabetes Mellitus

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

SINGLE

Outcome Assessors

Study Groups

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Usual Clinical Support

Participants will continue with their usual diabetes care provided by their clinic. Participants will receive a free wireless glucometer on the day of enrollment if they do not already have one.

Group Type PLACEBO_COMPARATOR

Usual Care

Intervention Type OTHER

Usual Care

DFI Alone

Participants will receive a free wireless glucometer on the day of enrollment if they don't already have one. To encourage habit formation, for the first 6 weeks of the trial, participants will be eligible for a daily lottery incentive for every day that they use their glucometer. Investigators will use an approach similar to what we have used in prior DFI trials: the lottery will provide infrequent large payoffs (a 1 in 100 chance of a US$50 reward) and more frequent small payoffs (an 18 in 100 chance of a US $5 reward). Participants who draw the winning lottery number, but did not check their glucose the day prior will receive an automated text or e-mail message informing them what earnings they would have won had they used their glucometer. After 6 weeks, investigators will terminate the lottery but continue to monitor patients' adherence to glucose self-monitoring.

Group Type ACTIVE_COMPARATOR

Digital health monitoring with financial incentives

Intervention Type BEHAVIORAL

Participants are encouraged to use their glucometer to check their blood glucose via bidirectional texting and lottery-based financial incentives, which both serve to reinforce self-monitoring behavior.

Hybrid DFI CHW

Participants in the hybrid intervention will receive a wireless glucometer if they don't already have one and financial incentives just as in the DFI intervention. However, any individuals who have low adherence (no self-monitoring) or elevated glucose readings (\>300 mg/dL) for \>30% of days over any 2 week period in the first 12 weeks of the study will be assigned to receive ongoing community health worker (CHW) support for the duration of the 24-week study period.

Group Type EXPERIMENTAL

IMPaCT Community Health Worker

Intervention Type BEHAVIORAL

Once a CHW receives notification of a struggling patient, the CHW will visit the patient at their home within 1-2 days to initiate the IMPaCT intervention.

1. Elements of the standard IMPaCT intervention: During the first home visit, the CHW will use an in-depth semi-structured interview guide to get to know patients holistically and assess for unmet socioeconomic needs. This allows patients to express goals in line with their own needs and preferences. These individualized goals will become the basis for tailored action plans. The CHW will then provide hands-on, tailored support for the remainder of the 24-week study period to help patients achieve their goals.
2. Additional elements to help patients cope with failure: In this study, we will test a refined version of IMPaCT that incorporates two behavioral techniques for coping with failure: positive affect induction and attribution retraining.

Digital health monitoring with financial incentives

Intervention Type BEHAVIORAL

Participants are encouraged to use their glucometer to check their blood glucose via bidirectional texting and lottery-based financial incentives, which both serve to reinforce self-monitoring behavior.

Interventions

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IMPaCT Community Health Worker

Once a CHW receives notification of a struggling patient, the CHW will visit the patient at their home within 1-2 days to initiate the IMPaCT intervention.

1. Elements of the standard IMPaCT intervention: During the first home visit, the CHW will use an in-depth semi-structured interview guide to get to know patients holistically and assess for unmet socioeconomic needs. This allows patients to express goals in line with their own needs and preferences. These individualized goals will become the basis for tailored action plans. The CHW will then provide hands-on, tailored support for the remainder of the 24-week study period to help patients achieve their goals.
2. Additional elements to help patients cope with failure: In this study, we will test a refined version of IMPaCT that incorporates two behavioral techniques for coping with failure: positive affect induction and attribution retraining.

Intervention Type BEHAVIORAL

Digital health monitoring with financial incentives

Participants are encouraged to use their glucometer to check their blood glucose via bidirectional texting and lottery-based financial incentives, which both serve to reinforce self-monitoring behavior.

Intervention Type BEHAVIORAL

Usual Care

Usual Care

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Penn Medicine patients diagnosed with diabetes mellitus.
* Glycosylated hemoglobin \>=9% within the past 6 months.
* Requires insulin.
* Uninsured/publicly insured.
* Residents of high-poverty ZIP codes in West/Southwest Philadelphia.
* Have access to a cellphone with unlimited text message capabilities.

Exclusion Criteria

* Already have a continuous glucose monitor.
* Previously enrolled in the study.
* Currently have an outpatient CHW.
* Unwilling/unable to provide informed consent.
* In another study that asks participants to monitor their blood sugar.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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The Commonwealth Fund

OTHER

Sponsor Role collaborator

University of Pennsylvania

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Penn Medicine

Philadelphia, Pennsylvania, United States

Site Status

Countries

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United States

References

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Whitehouse CR, Knowles M, Long JA, Mitra N, Volpp KG, Xu C, Sabini C, Gerald N, Estrada I, Jones D, Kangovi S. Digital Health and Community Health Worker Support for Diabetes Management: a Randomized Controlled Trial. J Gen Intern Med. 2023 Jan;38(1):131-137. doi: 10.1007/s11606-022-07639-6. Epub 2022 May 17.

Reference Type DERIVED
PMID: 35581452 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

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20191985

Identifier Type: -

Identifier Source: org_study_id

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