A mobile health infrastructure to support underserved patients with chronic disease.

BACKGROUND: Chronic diseases are the global leading cause of death, but the US health system is poorly designed to support patients with chronic disease. Underserved patients report high rates of cell phone use and interest in using mobile technology for health care. A mobile health infrastructure may help transform health care delivery for underserved patients with chronic disease. PROBLEM: This study assessed the feasibility of integrating mobile health infrastructure with clinical information systems and the electronic medical record (EMR) to support patients with chronic disease through automated, bidirectional text messaging. GOALS: Three priority areas of chronic disease management were targeted. Existing self-management support was expanded, and new support for laboratory test scheduling and medication management was created. STRATEGY: Adult patients (n=135) with diabetes selected preferred content and scheduling for self-management message prompts. Outreach messages were sent to patients overdue for laboratory tests and medications. Manual review of pharmacy and laboratory outreach data was conducted for quality assurance. Focus groups were held to solicit patient perspectives. RESULTS: Patients sent over 6500 response messages with response rates of 53.7% (blood sugar), 48.8% (step counts), and 31.9% (blood pressure). Laboratory data integration was achieved, but pharmacy data gaps required ongoing manual review. Focus group participants reported improved self-management and information awareness. IMPLICATIONS: HIT was used to address dependency on visit-bound disease management in a novel, low-cost way. Use of a mobile health infrastructure was feasible. Text messaging solutions may mitigate barriers to access and enhance support for patients with chronic disease.

Care by cell phone: text messaging for chronic disease management.

OBJECTIVES: To assess the feasibility of engaging adults with diabetes in self management behaviors between clinic visits by using cell phone text messaging to provide blood sugar measurement prompts and appointment reminders. STUDY DESIGN: Quasi-experimental pilot among adult diabetic patients with cell phones who receive regular care at a federally qualified community health center in Denver, Colorado, which serves a population that is predominantly either uninsured (41%) or on Medicaid or Medicare (56%). METHODS: Patients (N = 47) received text message prompts over a 3-month period. Blood sugar readings were requested 3 times per week (Monday, Wednesday, and Friday). Reminders were sent 7, 3, and 1 day(s) before each scheduled appointment. Acknowledgments were returned for all patient-sent messages. Focus groups were conducted in English and Spanish with selected patients (n = 8). RESULTS: Patients of all ages were active participants. Correctly formatted responses were received for 67.3% of 1585 prompts. More than three-fourths (79%) of the cohort responded to more than 50% of their prompts. The appointment analysis was underpowered to detect significant changes in attendance. Participants reported increased social support, feelings that the program "made them accountable," and increased awareness of health information. Two-thirds (66%) of patients provided glucose readings when prompted during the study, compared with 12% at 2 preceding clinic visits. CONCLUSIONS: For certain patients, cell phone-based text messaging may enhance chronic disease management support and patient-provider communications beyond the clinic setting.

Contraception for women with chronic medical conditions.

Chronic medical conditions can complicate maternal and fetal health during pregnancy, making unintended or mistimed pregnancy problematic. The use of highly effective reversible contraceptives is important for women with health issues, yet sometimes those same illnesses make the contraceptives themselves less effective or less safe. We review the evidence surrounding contraceptive use by women with six common medical conditions: systemic lupus erythematosus, diabetes mellitus, anticonvulsant use for epilepsy or mood disorder, HIV infection, migraine headache, and obesity. In some instances it is not possible to make a risk-free contraceptive choice, yet pregnancy may be even riskier. Good clinical judgment and patient counseling must be exercised.