Addressing Diabetes and Poorly Controlled Hypertension: Pragmatic mHealth Self-Management Intervention.

Abstract

Background

Patients with diabetes and poorly controlled hypertension are at increased risk for adverse renal and cardiovascular outcomes. Identifying these patients early and addressing modifiable risk factors is central to delaying renal complications such as diabetic kidney disease. Mobile health (mHealth), a relatively inexpensive and easily scalable technology, can facilitate patient-centered care and promote engagement in self-management, particularly for patients of lower socioeconomic status. Thus, mHealth may be a cost-effective way to deliver self-management education and support.

Objective

This feasibility study aimed to build a population management program by identifying patients with diabetes and poorly controlled hypertension who were at risk for adverse renal outcomes and evaluate a multifactorial intervention to address medication self-management. We recruited patients from a federally qualified health center (FQHC) in an underserved, diverse county in the southeastern United States.

Methods

Patients were identified via electronic health record. Inclusion criteria were age between 18 and 75 years, diagnosis of type 2 diabetes, poorly controlled hypertension over the last 12 months (mean clinic systolic blood pressure [SBP] ≥140 mm Hg and/or diastolic blood pressure [DBP] ≥90 mm Hg), access to a mobile phone, and ability to receive text messages and emails. The intervention consisted of monthly telephone calls for 6 months by a case manager and weekly, one-way informational text messages. Engagement was defined as the number of phone calls completed during the intervention; individuals who completed 4 or more calls were considered engaged. The primary outcome was change in SBP at the conclusion of the intervention.

Results

Of the 141 patients enrolled, 84.0% (118/141) of patients completed 1 or more phone calls and had follow-up SBP measurements for analysis. These patients were on average 56.9 years of age, predominately female (73/118, 61.9%), and nonwhite by self-report (103/118, 87.3%). The proportion of participants with poor baseline SBP control (50/118, 42.4%) did not change significantly at study completion (53/118, 44.9%) (P=.64). Participants who completed 4 or more phone calls (98/118, 83.1%) did not experience a statistically significant decrease in SBP when compared to those who completed fewer calls.

Conclusion

We did not reduce uncontrolled hypertension even among the more highly engaged. However, 83% of a predominately minority and low-income population completed at least 67% of the multimodal mHealth intervention. Findings suggest that combining an automated electronic health record system to identify at-risk patients with a tailored mHealth protocol can provide education to this population. While this intervention was insufficient to effect behavioral change resulting in better hypertension control, it does suggest that this FQHC population will engage in low-cost population health applications with a potentially promising impact.

Trial registration

ClinicalTrials.gov NCT02418091; https://clinicaltrials.gov/ct2/show/NCT02418091 (Archived by WebCite at http://www.webcitation.org/76RBvacVU).

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.2196/12541

Publication Info

Lewinski, Allison A, Uptal D Patel, Clarissa J Diamantidis, Megan Oakes, Khaula Baloch, Matthew J Crowley, Jonathan Wilson, Jane Pendergast, et al. (2019). Addressing Diabetes and Poorly Controlled Hypertension: Pragmatic mHealth Self-Management Intervention. Journal of medical Internet research, 21(4). p. e12541. 10.2196/12541 Retrieved from https://hdl.handle.net/10161/28704.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Lewinski

Allison A. Lewinski

Assistant Research Professor in the School of Nursing

As a nurse scientist and health services researcher, with a joint appointment between the Duke University School of Nursing (DUSON) and the Durham Veterans Affairs Health Care System (VHA), I have acquired expertise in the areas of diabetes distress, qualitative research methods, and virtual care (e.g., telehealth, digital health) as a method of care delivery. My research focuses on the current and potential ability of virtual care interventions to reduce distress, improve self-management, increase access to evidence-based care delivery, and improve patient and population health outcomes. My collaborative and interdisciplinary research focuses on how patient-, provider-, and system-level factors influence virtual care use and outcomes. As evidence of its growing significance and impact at DUSON and the VHA, my work has been well funded, published in high-impact journals, presented at select conferences, and used to guide health system decision-making. I am a sought-after teacher and mentor because I connect my research interests to teaching students and mentees rigorous and systematic research approaches. I am frequently asked by local and national colleagues to provide guidance on distress, qualitative research methods, and virtual care approaches used in grants, projects, and manuscripts.  

My research contributions have focused on alleviating psychosocial distress, developing and implementing multi-level virtual care interventions, and enhancing qualitative methods. As a staff nurse, I witnessed the psychosocial distress of patients who experience challenges in obtaining care which led to my interest in diabetes distress. I aspire and work to improve health outcomes for individuals with chronic illness by developing equitable and sustainable multi-level virtual care interventions and assessing their implementation and adaptation. Virtual care describes any remote interaction between a patient and/or members of their care team. To achieve these goals, I use qualitative methods and implementation science approaches to enhance alignment between patient, modality, disease state, and social and environmental context; my collective assessments address for whom and what purposes, in what situations and contexts, when in a disease course or clinical activity, and in what specific ways such interventions are effective. My focus on the uptake and adoption of virtual care to address psychosocial distress considers interactions with patients, between patients and clinicians, and within health care systems and the larger population.

Patel

Uptal Dinesh Patel

Adjunct Professor in the Department of Medicine

Uptal Patel, MD is an Adjunct Professor interested in population health with a broad range of clinical and research experience. As an adult and pediatric nephrologist with training in health services and epidemiology, his work seeks to improve population health for patients with  kidney diseases through improvements in prevention, diagnosis and treatment.

Prior efforts focused on four inter-related areas that are essential to improving kidney health: i) reducing the progression of chronic kidney disease by improving its detection and management, particularly by leveraging technology to facilitate engagement and self-management; ii) elucidating the inter-relationships between kidney disease and cardiovascular disease, which together amplify the risk of death; iii) improving the evidence in nephrology through comparative effectiveness research, including clinical trials, observational studies, and meta-analyses; and iv) promoting more optimal clinical health policy for all patients with kidney disease. These inter-disciplinary projects have been funded by a variety of public and private sources including the Robert Wood Johnson Foundation, Veterans Affairs, National Institutes of Health, Agency for Healthcare Research & Quality, Food and Drug Administration, Centers for Medicare & Medicaid Services, Renal Physicians Association, and the American Society of Nephrology. 

Current efforts seek to advance novel therapies for kidney diseases through early clinical development that he leads at AstraZeneca.


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