Addressing Diabetes and Poorly Controlled Hypertension: Pragmatic mHealth Self-Management Intervention.
| dc.contributor.author | Lewinski, Allison A | |
| dc.contributor.author | Patel, Uptal D | |
| dc.contributor.author | Diamantidis, Clarissa J | |
| dc.contributor.author | Oakes, Megan | |
| dc.contributor.author | Baloch, Khaula | |
| dc.contributor.author | Crowley, Matthew J | |
| dc.contributor.author | Wilson, Jonathan | |
| dc.contributor.author | Pendergast, Jane | |
| dc.contributor.author | Biola, Holly | |
| dc.contributor.author | Boulware, L Ebony | |
| dc.contributor.author | Bosworth, Hayden B | |
| dc.date.accessioned | 2023-08-09T17:13:35Z | |
| dc.date.available | 2023-08-09T17:13:35Z | |
| dc.date.issued | 2019-04 | |
| dc.date.updated | 2023-08-09T17:13:34Z | |
| dc.description.abstract | BackgroundPatients 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.ObjectiveThis 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.MethodsPatients 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.ResultsOf 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.ConclusionWe 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 registrationClinicalTrials.gov NCT02418091; https://clinicaltrials.gov/ct2/show/NCT02418091 (Archived by WebCite at http://www.webcitation.org/76RBvacVU). | |
| dc.identifier | v21i4e12541 | |
| dc.identifier.issn | 1439-4456 | |
| dc.identifier.issn | 1438-8871 | |
| dc.identifier.uri | ||
| dc.language | eng | |
| dc.publisher | JMIR Publications Inc. | |
| dc.relation.ispartof | Journal of medical Internet research | |
| dc.relation.isversionof | 10.2196/12541 | |
| dc.subject | Humans | |
| dc.subject | Hypertension | |
| dc.subject | Diabetes Mellitus, Type 2 | |
| dc.subject | Feasibility Studies | |
| dc.subject | Telemedicine | |
| dc.subject | Middle Aged | |
| dc.subject | Female | |
| dc.subject | Self-Management | |
| dc.title | Addressing Diabetes and Poorly Controlled Hypertension: Pragmatic mHealth Self-Management Intervention. | |
| dc.type | Journal article | |
| duke.contributor.orcid | Lewinski, Allison A|0000-0002-1356-1857 | |
| duke.contributor.orcid | Diamantidis, Clarissa J|0000-0001-8212-6288 | |
| duke.contributor.orcid | Crowley, Matthew J|0000-0002-6205-4536 | |
| duke.contributor.orcid | Wilson, Jonathan|0000-0001-9984-4825 | |
| duke.contributor.orcid | Boulware, L Ebony|0000-0002-8650-4212 | |
| duke.contributor.orcid | Bosworth, Hayden B|0000-0001-6188-9825 | |
| pubs.begin-page | e12541 | |
| pubs.issue | 4 | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | School of Medicine | |
| pubs.organisational-group | School of Nursing | |
| pubs.organisational-group | Staff | |
| pubs.organisational-group | Basic Science Departments | |
| pubs.organisational-group | Clinical Science Departments | |
| pubs.organisational-group | Institutes and Centers | |
| pubs.organisational-group | Biostatistics & Bioinformatics | |
| pubs.organisational-group | Family Medicine and Community Health | |
| pubs.organisational-group | Medicine | |
| pubs.organisational-group | Psychiatry & Behavioral Sciences | |
| pubs.organisational-group | Medicine, Endocrinology, Metabolism, and Nutrition | |
| pubs.organisational-group | Medicine, General Internal Medicine | |
| pubs.organisational-group | Medicine, Geriatrics | |
| pubs.organisational-group | Medicine, Nephrology | |
| pubs.organisational-group | Duke Cancer Institute | |
| pubs.organisational-group | Duke Clinical Research Institute | |
| pubs.organisational-group | Institutes and Provost's Academic Units | |
| pubs.organisational-group | University Institutes and Centers | |
| pubs.organisational-group | Duke Global Health Institute | |
| pubs.organisational-group | Social Science Research Institute | |
| pubs.organisational-group | Center for the Study of Aging and Human Development | |
| pubs.organisational-group | Initiatives | |
| pubs.organisational-group | Duke Science & Society | |
| pubs.organisational-group | Population Health Sciences | |
| pubs.organisational-group | Duke Innovation & Entrepreneurship | |
| pubs.organisational-group | Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences | |
| pubs.organisational-group | Center on Health & Society | |
| pubs.organisational-group | Duke - Margolis Center For Health Policy | |
| pubs.organisational-group | Biostatistics & Bioinformatics, Division of Biostatistics | |
| pubs.publication-status | Published | |
| pubs.volume | 21 |
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