Improved Diabetes Care Management Through a Text-Message Intervention for Low-Income Patients: Mixed-Methods Pilot Study

Jessica L Watterson; Hector P Rodriguez; Stephen M Shortell; Adrian Aguilera

doi:10.2196/diabetes.8645

Improved Diabetes Care Management Through a Text-Message Intervention for Low-Income Patients: Mixed-Methods Pilot Study

JMIR Diabetes. 2018 Oct 30;3(4):e15. doi: 10.2196/diabetes.8645.

Authors

Jessica L Watterson¹, Hector P Rodriguez¹, Stephen M Shortell¹, Adrian Aguilera^{2

3}

Affiliations

¹ Center for Healthcare Organizational and Innovation Research, School of Public Health, University of California, Berkeley, Berkeley, CA, United States.
² School of Social Welfare, University of California, Berkeley, Berkeley, CA, United States.
³ Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.

Abstract

Background: Diabetes is a major contributor to global death and disability. Text-messaging interventions hold promise for improving diabetes outcomes through better knowledge and self-management.

Objective: The aim of this study was to examine the implementation and impact of a diabetes text-messaging program targeted primarily for low-income Latino patients receiving care at 2 federally qualified health centers (FQHCs).

Methods: A mixed-methods, quasi-experimental research design was employed for this pilot study. A total of 50 Spanish or English-speaking adult patients with diabetes attending 2 FQHC sites in Los Angeles from September 2015 to February 2016 were enrolled in a 12-week, bidirectional text-messaging program. A comparison group (n=160) was constructed from unexposed, eligible patients. Demographic data and pre/post clinical indicators were compared for both the groups. Propensity score weighting was used to reduce selection bias, and over-time differences in clinical outcomes between groups were estimated using individual fixed-effects regression models. Population-averaged linear models were estimated to assess differential effects of patient engagement on each clinical indicator among the intervention participants. A sample of intervention patients (n=11) and all implementing staff (n=8) were interviewed about their experiences with the program. Qualitative data were transcribed, translated, and analyzed to identify common themes.

Results: The intervention group had a mean glycated hemoglobin (HbA_1c) reduction of 0.4 points at follow-up, relative to the comparison group (P=.06). Patients who were more highly engaged with the program (response rate ≥median of 64.5%) experienced a 2.2 point reduction in HbA_1c, relative to patients who were less engaged, controlling for demographic characteristics (P<.001). Qualitative analyses revealed that many participants felt supported, as though "someone was worrying about [their] health." Participants also cited learning new information, setting new goals, and receiving helpful reminders. Staff and patients highlighted strategies to improve the program, including incorporating patient responses into in-person clinical care and tailoring the messages to patient knowledge.

Conclusions: A diabetes text-messaging program provided instrumental and emotional support for participants and may have contributed to clinically meaningful improvements in HbA_1c. Patients who were more engaged demonstrated greater improvement. Program improvements, such as linkages to clinical care, hold potential for improving patient engagement and ultimately, improving clinical outcomes.

Keywords: Hispanic Americans; diabetes mellitus, type 2; health education; poverty; qualitative research; telemedicine; text messaging.

©Jessica L Watterson, Hector P Rodriguez, Stephen M Shortell, Adrian Aguilera. Originally published in JMIR Diabetes (http://diabetes.jmir.org), 30.10.2018.