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1.
J Gen Intern Med ; 32(3): 269-276, 2017 Mar.
Article in English | MEDLINE | ID: mdl-27770385

ABSTRACT

BACKGROUND: A better understanding of the attributes of patients who require more effort to manage may improve risk adjustment approaches and lead to more efficient resource allocation, improved patient care and health outcomes, and reduced burnout in primary care clinicians. OBJECTIVE: To identify and characterize high-effort patients from the physician's perspective. DESIGN: Cohort study. PARTICIPANTS: Ninety-nine primary care physicians in an academic primary care network. MAIN MEASURES: From a list of 100 randomly selected patients in their panels, PCPs identified patients who required a high level of team-based effort and patients they considered complex. For high-effort patients, PCPs indicated which factors influenced their decision: medical/care coordination, behavioral health, and/or socioeconomic factors. We examined differences in patient characteristics based on PCP-defined effort and complexity. KEY RESULTS: Among 9594 eligible patients, PCPs classified 2277 (23.7 %) as high-effort and 2676 (27.9 %) as complex. Behavioral health issues were the major driver of effort in younger patients, while medical/care coordination issues predominated in older patients. Compared to low-effort patients, high-effort patients were significantly (P < 0.01 for all) more likely to have higher rates of medical (e.g. 23.2 % vs. 6.3 % for diabetes) and behavioral health problems (e.g. 9.8 % vs. 2.9 % for substance use disorder), more frequent primary care visits (10.9 vs. 6.0 visits), and higher acute care utilization rates (25.8 % vs. 7.7 % for emergency department [ED] visits and 15.0 % vs. 3.9 % for hospitalization). Almost one in five (18 %) patients who were considered high-effort were not deemed complex by the same PCPs. CONCLUSIONS: Patients defined as high-effort by their primary care physicians, not all of whom were medically complex, appear to have a high burden of psychosocial issues that may not be accounted for in current chronic disease-focused risk adjustment approaches.


Subject(s)
Cooperative Behavior , Patient Acceptance of Health Care/statistics & numerical data , Patient Care/methods , Physicians, Primary Care , Primary Health Care/organization & administration , Age Factors , Chronic Disease/therapy , Cohort Studies , Continuity of Patient Care/organization & administration , Female , Humans , Male , Middle Aged , Needs Assessment/statistics & numerical data , Practice Patterns, Physicians' , Risk Adjustment , Surveys and Questionnaires
2.
Health Aff (Millwood) ; 33(10): 1823-31, 2014 Oct.
Article in English | MEDLINE | ID: mdl-25288429

ABSTRACT

Patient-centered medical home initiatives are central to many efforts to reform the US health care delivery system. To better understand the extent and nature of these initiatives, in 2013 we performed a nationwide cross-sectional survey of initiatives that included payment reform incentives in their models, and we compared the results to those of a similar survey we conducted in 2009. We found that the number of initiatives featuring payment reform incentives had increased from 26 in 2009 to 114 in 2013. The number of patients covered by these initiatives had increased from nearly five million to almost twenty-one million. We also found that the proportion of time-limited initiatives--those with a planned end date--was 20 percent in 2013, a decrease from 77 percent in 2009. Finally, we found that the dominant payment model for patient-centered medical homes remained fee-for-service payments augmented by per member per month payments and pay-for-performance bonuses. However, those payments and bonuses were higher in 2013 than they were in 2009, and the use of shared-savings models was greater. The patient-centered medical home model is likely to continue both to become more common and to play an important role in delivery system reform.


Subject(s)
Patient-Centered Care/statistics & numerical data , Fee-for-Service Plans/statistics & numerical data , Health Care Surveys , Humans , Patient-Centered Care/organization & administration , Reimbursement Mechanisms/statistics & numerical data , Reimbursement, Incentive/statistics & numerical data , United States
3.
Healthc (Amst) ; 1(1-2): 12-4, 2013 Jun.
Article in English | MEDLINE | ID: mdl-26249635
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