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Table 1 Description of included practices and approach

From: Primary care practices’ ability to predict future risk of expenditures and hospitalization using risk stratification and segmentation

Practices (N = 6)

Result

Practice size

 

 Large (greater than 20,000 patients)

2 (33%)

 Medium (10,000–20,000 patients)

4 (67%)

Practice location

 

 Urban

4 (83%)

 Rural

2 (17%)

Practice ownership

 

 Health system

4 (67%)

 Independent

2 (33%)

Perception of practice RS processa

 

 High (> 67% agree)

3 (50%)

 Low (< 33% agree)

3 (50%)

Stratification approach

 

 Clinical intuition

1 (17%)

 Algorithm only

1 (17%)

 Adjudication

4 (67%)

Patient panels N (range)

40,342 (2,209–24,192)

% female (practice range)

57% (54–60%)

Age mean (practice range)

60.8 (56.5–72.0)

HCC scores (IQR)

0.60 (0.28–0.80)

 Practice 1

0.62 (0.35–0.79)

 Practice 2

0.74 (0.35–1.0)

 Practice 3

0.54 (0.29–0.67)

 Practice 4

0.55 (0.26–0.70)

 Practice 5

0.65 (0.29–0.86)

 Practice 6

0.79 (0.40–1.05)

HCC categories mean (practice range)

0.79 (0.47–1.06)

HCC conditions % (range)

 

 Diabetes

11% (2–19%)

 Neoplasm

11% (3–12%)

 Heart disease

10% (7–17%)

 Psychiatric

8% (2–14%)

 Lung

5% (3–9%)

Patients with outcome data available

3,381 (49–1,629)

Outcome rate % (range)

 

 At least one ED visit

30% (25–59%)

 At least two ED visits

12% (9–36%)

 One or more hospitalization

14% (11–33%)

 Expenditures ≥ $ 30,000

9% (6–22%)

  1. aPercent agreement with measures of risk score correctness and overall confidence in stratification approach; no medium levels of agreement were seen (34–66%)