Article Figures & Data
Tables
Visit Characteristics Levels of Capitated Payments <25% 25–50% 51–75% >75% Visits (n) 8584 582 537 160 Weighted n (in millions) 347.1 15.2 19.4 7.1 Mean age of patients, years 42.6 (39.6–45.5) 39.0 (26.6–51.4) 31.1 (9.5–52.6) 40.0 (24.0–55.9) Female (%) 57.4 (55.4–59.4) 46.7 (39.2–54.4) 56.8 (48.1–65.1) 67.0 (57.7–75.2) Mean visits in past 12 months 4.8 (4.5–5.1) 4.4 (3.7–5.1) 4.8 (3.1–6.5) 3.7 (3.0–4.5) Mean chronic illnesses managed 1.4 (1.2–1.5) 1.4 (0.8–2.0) 1.2 (0.1–2.3) 1.7 (0.9–2.4) Mean medications managed 2.9 (2.6–3.2) 2.7 (2.0–3.3) 2.5 (1.2–3.9) 2.8 (2.0–3.6) Patients seen before in the practice 97.0 (96.4–97.6) 96.2 (92.9–98.0) 97.4 (97.4–98.8) 93.8 (87.1–97.1) Medicare/private insurance as expected source of payment 83.0 (78.8–86.5) 83.2 (67.9–92.0) 58.7 (32.6–86.7) 79.4 (56.0–90.2) Values are percentage estimates (95% confidence intervals) unless otherwise indicated. Data are taken from the 2009 National Ambulatory Medical Care Survey.
- Table 2. Percentage Estimates of Visits With Patient Education (n = 9863) by Level of Practice Capitation*
Level of Practice Capitation (%) Visits With Patient Education <25 42.7 (38.3–47.3) 25–50 37.6 (23.5–54.2) 51–75 38.4 (28.1–49.8) >75 74.0 (52.2–88.1) Values are percentage estimates (95% confidence intervals). Data are taken from the 2009 National Ambulatory Medical Care Survey.
↵* P = .18, χ2 test.
- Table 3. Logistic Regression Models Demonstrating the Likelihood of Patient Education by Level of Practice Capitation
Level of Practice Capitation (%) β Odds Ratio 95% Confidence Interval Unadjusted model >75 1.34 3.81 1.44–10.09 50–75 −0.18 0.83 0.50–1.38 25–50 −0.21 0.81 0.40–1.62 <25 Reference Reference Reference Adjusted model* >75 1.22 3.38 1.23–9.30 50–75 −0.21 0.81 0.53–1.25 25–50 −0.26 0.77 0.38–1.58 <25 Reference Reference Reference Total visits, n = 9863. Data are taken from the 2009 National Ambulatory Medical Care Survey.
↵* Controlling for age and sex of patient, whether patient has been seen in practice before, number of visits to the practice in previous 12 months, number of chronic medical conditions, number of medications managed, expected payment source for the visit, and ownership of the practice.