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. Author manuscript; available in PMC: 2016 Mar 15.
Published in final edited form as: Rev Econ Stat. 2015 Dec 8;97(5):951–964. doi: 10.1162/REST_a_00535

Table 1.

Association of Common Factor from 1-Factor Adoption Model with Adoption and Other Characteristics of the Hospital

Quintile 5
(Quickest)
Quintile 4 Quintile 3 Quintile 2 Quintile 1
(Slowest)
Overall
Fraction aspirin 0.90 0.86 0.81 0.77 0.65 0.80
Fraction β Blocker 0.66 0.53 0.46 0.41 0.31 0.47
Fraction reperfusion within 12 hours 0.22 0.20 0.19 0.18 0.15 0.19
Average hospital AMI volume* 91 104 94 86 67 89
Fraction major teaching hospital 0.45 0.30 0.24 0.16 0.06 0.24
Fraction for-profit hospital 0.04 0.08 0.07 0.09 0.17 0.09
Fraction government hospital 0.11 0.09 0.13 0.10 0.17 0.12
Average state income (1994/95) 43,790 42,603 42,168 42,215 41,648 42,495
% of Hospitals Performing Stents in 2003/04 0.74 0.69 0.63 0.49 0.32 0.57
Of those, % Drug-Eluting Stent 2003/04 0.62 0.60 0.59 0.57 0.52 0.59
*

Volume for Medicare patients only.

Notes: Each column of the table reports average hospital and patient characteristics by adoption quintile and overall (in the final column). All averages are weighted by number of AMI patients in each hospital. Adoption quintiles were defined based on the common factor estimated from a 1-factor model of hospital use of aspirin, β blockers, and reperfusion. All estimates except for stent data come from the Cooperative Cardiovascular Project (CCP), 1994–1995, with a sample of 139,847 AMI patients and 2999 hospitals. Estimates for each quintile are based on samples of approximately 28,000 AMI patients. Stent data are derived from Medicare Part A (hospital) claims from 2003–2004 for the same sample of hospitals.