Table 2.
Predicted HRA Completion Rates From GLM Regression
| Variable | Completion ratea (%) (95% CI) | p-value |
|---|---|---|
| PCP views of HRA | ||
| PCP familiarity with completing HRA | ||
| Very familiar | 23.3 (22.1, 24.4) | ‒ |
| Somewhat familiar | 18.2 (16.8, 19.5) | <0.001 |
| A little familiar | 17.0 (15.4, 18.6) | <0.001 |
| Not at all familiar | 13.7 (12.1, 15.2) | <0.001 |
| HRA useful for identifying health risks | ||
| Very useful | 18.9 (17.0, 20.9) | ‒ |
| Somewhat useful | 20.7 (19.4, 22.1) | 0.162 |
| A little useful | 20.5 (18.4, 22.6) | 0.357 |
| Not at all useful | 21.0 (16.8, 25.1) | 0.413 |
| HRA useful for discussing health risks | ||
| Very useful | 21.2 (18.8, 23.5) | ‒ |
| Somewhat useful | 19.8 (18.5, 21.1) | 0.334 |
| A little useful | 19.8 (17.5, 22.0) | 0.481 |
| Not at all useful | 20.5 (15.2, 25.8) | 0.841 |
| HRA useful for persuading patients to address risks | ||
| Very useful | 19.8 (17.6, 22.0) | ‒ |
| Somewhat useful | 19.8 (18.4, 21.1) | 0.986 |
| A little useful | 21.9 (19.7, 24.2) | 0.267 |
| Not at all useful | 19.6 (15.3, 24.0) | 0.951 |
| HRA useful for documenting patient behavior goals | ||
| Very useful | 18.5 (16.6, 20.5) | ‒ |
| Somewhat useful | 20.7 (19.3, 22.0) | 0.104 |
| A little useful | 20.8 (19.7, 22.6) | 0.145 |
| Not at all useful | 21.0 (17.5, 24.5) | 0.250 |
| HRA useful for getting patients to change behaviors | ||
| Very useful | 20.1 (17.0, 23.2) | ‒ |
| Somewhat useful | 20.7 (19.1, 22.2) | 0.761 |
| A little useful | 20.1 (18.8, 21.4) | 0.994 |
| Not at all useful | 19.8 (17.2, 22.5) | 0.900 |
| Provider and practice characteristics | ||
| Provider type | ||
| Non-physician | 21.0 (19.2, 22.8) | ‒ |
| Physician | 20.0 (19.2, 20.9) | 0.344 |
| Practice location | ||
| Non-urban | 21.8 (20.2, 23.3) | ‒ |
| Urban | 19.7 (18.8, 20.5) | 0.02 |
| Predominant payer mix | ||
| Private | 21.3 (20.0, 22.7) | ‒ |
| Medicaid | 19.4 (18.3, 20.6) | 0.05 |
| Medicare | 20.4 (18.7, 22.1) | 0.385 |
| Uninsured | 20.4 (12.7, 28.0) | 0.815 |
| Mixed | 19.2 (16.7, 21.7) | 0.171 |
a
Predicted HRA completion rates from GLM regression with gamma distribution. Link function was reciprocal and SEs calculated using the observed information matrix. Model predicts rate of completed HRAs using data warehouse records. Multivariate model was adjusted for all variables shown, as well as the number of HMP members assigned to the PCP.
PCP, primary care provider; HRA, health risk assessment; GLM, generalized linear model.