Table 9.
Average effects of switching to PCPs with more primary care office visits per patient.
Utilization outcome | Utilization outcome | ||
---|---|---|---|
Primary care $ | $43.94*** (1.725) | # Primary care office visits | 0.807*** (0.0501) |
All physician $ | $65.42*** (2.343) | # All office visits | 0.912*** (0.0548) |
Pharmaceutical drug $ | $33.20 (17.22) | # Diagnoses | 0.649*** (0.0492) |
Outpatient $ | $92.10*** (21.05) | # Chronic conditions | 0.117*** (0.00954) |
Inpatient $ | $138.3*** (35.40) | # ED visits | 0.00773* (0.00302) |
Post-acute care $ | $12.63 (16.63) | # Avoidable hospitalizations | 0.000606 (0.000800) |
Total $ | $357.4*** (59.64) | Prob. of flu vaccination | 0.0147*** (0.00281) |
Prob. ofdiabetes care | 0.0107*** (0.00157) |
Notes: This table shows how switching to a PCP with 1 more primary care office visit per patient correlates with other types of health care utilization. We use the difference-in-differences specification in Eq. (3) to estimate these cross-outcome associations. Each cell is an estimate for θ from Eq. (3) for a different utilization outcome y. We include years −4 to −1 in the pre-event period, and we include years 2 to 6 in the post-event period. We control for patient fixed effects, time-varying patient characteristics, a post-event time indicator, and calendar year fixed effects. The standard errors are clustered at the HRR-level.
p < 0.001
p < 0.01
p < 0.05.