LAUSR

Self-reported data suggest American adults with multiple chronic conditions account for 25.7% to 60% of the population. Despite emphasis on information technology to improve quality in health care, data addressing outcomes of clinically focused, provider-oriented dashboards are limited. To explore integrating performance platforms into clinical care, the authors designed a platform-based intervention to address 2 prevalent chronic conditions with significant long-term burden. This study used a performance platform to enhance clinicians' management of patients with diabetes and osteoporosis. Descriptive statistics were used to summarize patients' surveys and quality metrics, and to analyze clinicians' knowledge, attitudes, and beliefs in the pre and post time frames. The frequency of screening for osteoporosis in women improved post intervention (40% vs. 44%, P < 0.0001), whereas other quality metrics did not. Clinician respondents were primarily physicians (82%), white (73%), internal medicine specialists (58%), with an average of 18 years' experience, and nearly equally male and female. Their percent of correctly answered knowledge questions increased slightly in the postintervention phase for osteoporosis and hypoglycemia (0.53 and 1.74, respectively); however, results were not statistically significant (P > 0.4). Post intervention, clinicians reported that their attitudes and beliefs regarding disease management had changed in the past 6 months in a positive direction. Although few outcomes studied changed over time, results suggest that performance platforms may have a role to play in managing chronic conditions. However, their efficacy must continue to be evaluated in order to improve understanding of optimal approaches to integrating technology into patient care.