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Specialist care and  primary care provider performance on a quality of care measure: example of management of uncontrolled hypertension   1 Barbara J. Turner, MD  2 C Hollenbeak, PhD,  1 Mark G. Weiner, MD,  3 Craig Roberts, PharmD  1 University of Pennsylvania School of Medicine, Philadelphia, PA,  2 Pennsylvania State University, Hershey, PA,  2 Pfizer Global Pharmaceuticals, New York, NY We hypothesized that, when the patient sees a cardiovascular (CV) disease specialist, the PCP might defer HTN management to that specialist.  Conversely, in patients with comorbidities that are unrelated to CV disease (eg COPD), care from specialists for these unrelated conditions should permit the PCP to focus more on managing uncontrolled HTN. In generalized estimating equation logistic regression models, we examined specialist care and adjust for: patient demographic, clinical conditions (weight, tobacco use, blood pressure, diagnoses), HTN treatment, visit adherence, and PCP characteristics as well as for clustering of visits within patient. We repeated the analysis clustering on physician. Table 1 – Demographics by patient and visit Table 2 Clinical conditions by patient & visit Specialist care Related specialist(s)   1 2 3,835 474 24.9 3.1 20,724 3,270 29.3 4.6 Unrelated specialist(s)   Mean 2.40 1.71 2.68 1.89 Table 3 – Unrelated and related specialist visits Table 4 – Logistic regression: likelihood of treatment intensification Contrary to our hypothesis, patients with care from a related specialist such as a cardiologist were more likely to have HTN treatment intensified by the PCP while those with care from an unrelated specialist were less likely. These results suggest that PCPs are not relieved of the responsibility to address uncontrolled HTN by care from specialists Care from a related specialist may be reflect unmeasured severity of illness but we did adjust for comorbidities, level of BP, and HTN meds. *Selected variables from full model ,[object Object],[object Object],[object Object],Unit of Analysis Patients Visits Unit of Analysis Patients Visits Total  15,497 100 70,559 100 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Quality of care measures may hold the primary care physician (PCP) accountable for achieving goals even when a patient is co-managed by a specialist.  Background Methods Analysis Objectives Results Unit of Analysis Characteristic Patients Visits Total 15,497 100 70,559 100 Mean Age (SD)  59.6 14.9 61.9 14.7 Women (%) 9,357 60.4 44,656 64.3 Black Race  (%) 7,960 51.5 41,163 38.0 Median income in zipcode  (mean $, SD) 44,466 23,958 41,748 22,823 Insurance type  (N, %) Commercial 10,703 69.2 47,782 67.7 Medicaid 2,502 16.2 13,624 19.3 Medicare 5,508 35.6 29,687 42.0 Self pay 273 1.8 976 1.4 Antihypertensive  meds in regimen (N,%) 0-1 10,638 68.8 40,407 57.2 2+ 4,821 31.2 30,150 32.8 Results Conclusions Results Clinical conditions Total  15,497 100 70,559 100 Related comorbidities Single  2,300 14.9 7,998 11.3 Multiple 873 5.6 1,927 2.7 Diabetes 4,943 32.0 31,533 44.7 Chronic renal disease 999 6.5 6,969 9.9 Unrelated  comorbidities (mean) 1.92 1.68 2.23 1.83 Specialist care AOR 95% CI P value Treatment from related specialties (versus zero) One  1.10 1.05 - 1.16 <0.0001  Both 1.52 1.36 - 1.70 <0.0001  Treatment from unrelated specialties (versus one) Two 0.92 0.87 –0.97 0.001 Three 0.88 0.82 –0.93 <0.0001  Four 0.88 0.81 –0.94 0.001 Five or more 0.88 0.80 –0.96 0.007 Clinical Conditions* AOR 95% CI P value Related comorbidities (versus zero) Single Multiple 1.14 1.17 1.06-1.22 1.02-1.33 <0.001 <0.001 Diabetes 0.67 0.64-0.70 <0.001 Chronic renal failure 0.95 0.88-1.03 0.22 Unrelated comorbidity (per comorbidity) 0.96 0.94-0.98 <0.001 Limitations

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