RESUMO
BACKGROUND: Type 2 diabetes (T2D) is a major chronic condition requiring management through lifestyle changes and recommended health service visits. Mobile health (mHealth) is a promising tool to encourage self-management, but few studies have investigated the impact of mHealth on health care utilization. OBJECTIVE: The objective of this analysis was to determine the change in 2-year health service utilization and whether utilization explained a 1.9% absolute decrease in glycated hemoglobin (HbA1c) over 1-year in the Mobile Diabetes Intervention Study (MDIS). METHODS: We used commercial claims data from 2006 to 2010 linked to enrolled patients' medical chart data in 26 primary care practices in Maryland, USA. Secondary claims data analyses were available for 56% (92/163) of participants. In the primary MDIS study, physician practices were recruited and randomized to usual care and 1 of 3 increasingly complex interventions. Patients followed physician randomization assignment. The main variables in the analysis included health service utilization by type of service and change in HbA1c. The claims data was aggregated into 12 categories of utilization to assess change in 2-year health service usage, comparing rates of usage pre- and posttrial. We also examined whether utilization explained the 1.9% decrease in HbA1c over 1 year in the MDIS cluster randomized clinical trial. RESULTS: A significant group by time effect was observed in physician office visits, general practitioner visits, other outpatient services, prescription medications, and podiatrist visits. Physician office visits (P=.01) and general practitioner visits (P=.02) both decreased for all intervention groups during the study period, whereas prescription claims (P<.001) increased. The frequency of other outpatient services (P=.001) and podiatrist visits (P=.04) decreased for the control group and least complex intervention group but increased for the 2 most complex intervention groups. No significant effects of utilization were observed to explain the clinically significant change in HbA1c. CONCLUSIONS: Claims data analyses identified patterns of utilization relevant to mHealth interventions. Findings may encourage patients and health providers to discuss the utilization of treatment-recommended services, lab tests, and prescribed medications. TRIAL REGISTRATION: ClinicalTrials.gov NCT01107015; https://clinicaltrials.gov/ct2/show/NCT01107015 (Archived by Webcite at http://www.webcitation.org/72XgTaxIj).
RESUMO
BACKGROUND: Racial disparities in trauma outcomes occur, but disparities in fall mortality are unknown. The objective of this study was to determine inhospital and 1-year fall mortality among patients discharged from an urban trauma center. METHODS: We conducted a retrospective analysis of fall patients in our trauma registry (1997 to 2008) linked to the National Death Index to determine postdischarge mortality. Statistical analysis included chi-square tests, multivariable logistic regression, and Cox proportional hazards models. RESULTS: There were 7,541 fall admissions. There was no clinically significant difference in inhospital mortality between blacks and whites with age stratification. One year after discharge, blacks younger than 65 years were more likely to die of disease (hazard ratio, 1.37; 95% confidence interval, 1.14 to 1.62). CONCLUSIONS: Although rates of inhospital mortality are similar, blacks younger than 65 years have a higher risk of dying after discharge due to disease when stratified by age highlighting the need for continued medical follow-up and prevention efforts.