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. Author manuscript; available in PMC: 2023 Aug 4.
Published in final edited form as: Am Econ J Econ Policy. 2023 Aug;15(3):184–214. doi: 10.1257/pol.20200841

Table 4:

Organizational concentration and quality-related utilization

(1)
Mean of
dependent variable
(2)
Coefficient on
OrgConcit
Dependent variable:
A. Hospital outcomes
 Any inpatient visit 0.145 −0.085 (0.137)
 Any emergency department visit 0.252 −0.273 (0.151)
B. Diabetes care outcomes
 Any HbA1C test 0.631 1.078 (0.264)
 Any LDL test 0.590 1.111 (0.276)
C. Imaging and testing outcomes
 Any outpatient testing or imaging 0.951 −0.313 (0.072)
 Log of outpatient testing & imaging utilization (if > 0) 6.092 −1.236 (0.533)

Notes: Each row corresponds to a regression. The specifications match that reported in column (4) of Table 3, but with different outcome variables. All regressions control for changes in PCP provider concentration, PCP characteristics, PCP organization size, as well as calendar year fixed effects, relative year fixed effects, patient fixed effects. Both changes in PCP organizational concentration and changes in PCP provider concentration are instrumented for using the exiting PCP’s practice style. Standard errors are clustered at the PCP and patient levels. Panel A uses the full PCP Exit Sample (304,954 patient-year observations). Panel B uses the subset of the PCP Exit Sample of patients identified with diabetes as chronic condition (106,614 patient-year observations). The first specification in Panel C uses the full PCP Exit Sample (304,954 observations), and the final specification has sample size of 289,979 (only observations with positive utilization of testing and imaging).