Enhancing the practice of medicine with embedded multi-disciplinary researchers in a model of change.

Successfully embedding researchers in a health care setting brings unique challenges and opportunities. Through a joint clinical and academic partnership, we have developed a novel approach to problem-solving in the health care context, by employing a model for leading through change to embed researchers in transformative initiatives. Using the model, we have been able to leverage our local environment and resources to engage multi-disciplinary researchers in solving complex issues. An example is our initiative, Enhancing the Practice of Medicine, to address burnout among health care providers. Through this work, we have identified 3 primary factors critical to the successful deployment of embedded researchers. First and foremost, a multi-disciplinary team with diverse expertise is necessary to truly understand the root causes and potential solutions for complex issues. Second, this diverse team of embedded researchers must be involved from the initial stages of project design and have a voice throughout all phases of planning and assessing the initiative. Finally, embedded researchers will be most successful when they are supported to build relationships, navigate the system, and conduct research as part of an integrated and comprehensive effort that aligns with health system priorities.

Treatment for Rotator Cuff Tear Is Influenced by Demographics and Characteristics of the Area Where Patients Live.

BACKGROUND: Atraumatic rotator cuff tear is a common orthopaedic complaint for people >60 years of age. Lack of evidence or consensus on appropriate treatment for this type of injury creates the potential for substantial discretion in treatment decisions. To our knowledge, no study has assessed the implications of this discretion on treatment patterns across the United States. METHODS: All Medicare beneficiaries in the United States with a new magnetic resonance imaging (MRI)-confirmed atraumatic rotator cuff tear were identified with use of 2010 to 2012 Medicare administrative data and were categorized according to initial treatment (surgery, physical therapy, or watchful waiting). Treatment was modeled as a function of the clinical and demographic characteristics of each patient. Variation in treatment rates across hospital referral regions and the presence of area treatment signatures, representing the extent that treatment rates varied across hospital referral regions after controlling for patient characteristics, were assessed. Correlations between measures of area treatment signatures and measures of physician access in hospital referral regions were examined. RESULTS: Among patients who were identified as having a new, symptomatic, MRI-confirmed atraumatic rotator cuff tear (n = 32,203), 19.8% were managed with initial surgery; 41.3%, with initial physical therapy; and 38.8%, with watchful waiting. Patients who were older, had more comorbidity, or were female, of non-white race, or dual-eligible for Medicaid were less likely to receive surgery (p < 0.0001). Black, dual-eligible females had 0.42-times (95% confidence interval [CI], 0.34 to 0.50) lower odds of surgery and 2.36-times (95% CI, 2.02 to 2.70) greater odds of watchful waiting. Covariate-adjusted odds of surgery varied dramatically across hospital referral regions; unadjusted surgery and physical therapy rates varied from 0% to 73% and from 6% to 74%, respectively. On average, patients in high-surgery areas were 62% more likely to receive surgery than the average patient with identical measured characteristics, and patients in low-surgery areas were half as likely to receive surgery than the average comparable patient. The supply of orthopaedic surgeons and the supply of physical therapists were associated with greater use of initial surgery and physical therapy, respectively. CONCLUSIONS: Patient characteristics had a significant influence on treatment for atraumatic rotator cuff tear but did not explain the wide-ranging variation in treatment rates across areas. Local-area physician supply and specialty mix were correlated with treatment, independent of the patient's measured characteristics.