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.

Nurse-run, telephone-based outreach to improve lipids in people with diabetes.

BACKGROUND: There is a need for randomized, prospective trials of case management interventions with resource utilization analyses. OBJECTIVES: To determine whether algorithm-driven telephone care by nurses improves lipid control in patients with diabetes. DESIGN: Prospective, randomized, controlled trial. PARTICIPANTS: Adults with diabetes at a federally funded community health center were randomly assigned to intervention (n = 381) or usual-care (n = 381) groups. INTERVENTIONS: Nurses independently initiated and titrated lipid therapy and promoted behavioral change through motivational interviewing and self-management techniques. Other parameters of diabetes care were addressed based on time constraints. MAIN MEASURES: The primary outcome was the proportion of patients with a low-density lipoprotein (LDL) less than 100 mg/dL. Secondary outcomes included the number of hospital admissions, total hospital charges per patient, and the proportion of patients meeting other lipid, glycemic, and blood pressure guidelines. KEY RESULTS: The percent of patients with an LDL < 100 mg/dL increased from 52.0% to 58.5% in the intervention group and decreased from 55.6% to 46.7% in the control group (P < .01). Average cost per patient to the healthcare system was less for the intervention group ($6600 vs $9033, P = .03). Intervention patients trended toward fewer hospital admissions (P = .06). The intervention did not affect glycemic and blood pressure outcomes. CONCLUSIONS: Nurses can improve lipid control in patients with diabetes in a primarily indigent population through telephone care using moderately complex algorithms, but a more targeted approach is warranted. Telephone-based outreach may decrease resource utilization, but more study is needed.