Measurement of Hospital Efficiency Using Data Envelopment Analysis

Cover Measurement of Hospital Efficiency Using Data Envelopment Analysis
Measurement of Hospital Efficiency Using Data Envelopment Analysis
H David Sherman
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34 69, 5/i . 286) 164 194. 3 409 + (. 6 ig _ 28 40. 24 17. 25 19. 88 ts /i6, 90 55. 57 116. 97 8 + Co' Tiposite = (, 2BGC-;- . Gorn+. I4CM) vs I /TTE N P } Supp. " 1 'f I Bed days S ^Durso Tm. O U TJ P > U T S Medicare Days l>'on-Mcdicare Days Int/Rcsid. Trn. 210 $180, 000 82, 000 160 33, 500 /(2, &00 39 165. 6 131. 3 65. 52 141 329. 1 257. 7 26 100. 68 79. 83 38. CI 85. 73 200. 09 156. 7 1^, 8 Hospital J (1976 r. Ctual) 250 $316, 000 94, 400 160 ■ 33, 500 42, 000 21 + (. 146) M 470. 6 564. 8 1...65. 3 186 542 995. 2 105 69. 03 82. 85 24. 25 27. 3 79. 51 145. 99 15. 40 excessive input: } deficient output 13a Focusi'. Ij; on tlic tlirce lovjcsf rnted liospitalii, V, N and J, wc cn:barl;cd on a set of procedures to p, ain more confidence in tliesc results and to resolve the conflict over liospital J. First ve considered other case nix indicators to determine if they would indicate that the DEA results might have been biased by the use of only one case mix indicator — age. This result is described in section A below.

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