Socio-demographic patient profiles and hospital efficiency: Does patient mix affect a hospital's ability to perform?

Health Policy

Volumn 104, Issue 2, 2012, Pages 136-145

  Gyrd Hansen, Dorte ^a   Olsen, Kim R ^b   Sørensen, Torben H ^b  

^a Australian Centre for Economic Research on Health   (Australia)

^b Dansk Sundhedsinstitut   (Denmark)

Author keywords

DRG; Length of stay (LOS); Ranking of hospitals; Remuneration

Indexed keywords

ARTICLE; CORRELATION COEFFICIENT; DEMOGRAPHY; DIAGNOSE RELATED GROUP; DISEASE REGISTRY; ELDERLY CARE; EMPLOYMENT; ETHNICITY; HOSPITAL CARE; HOSPITAL COST; HOSPITAL MANAGEMENT; HOSPITAL SERVICE; HOSPITALIZATION; HUMAN; INCOME; LENGTH OF STAY; MEDICAL PRACTICE; MISCELLANEOUS NAMED GROUPS; PATIENT CARE; PATIENT INFORMATION; SCORING SYSTEM; SOCIAL NETWORK; SOCIAL STATUS;

ADULT; AGE FACTORS; AGED; DENMARK; DIAGNOSIS-RELATED GROUPS; EFFICIENCY, ORGANIZATIONAL; FEMALE; HOSPITAL ADMINISTRATION; HOSPITALS; HUMANS; LENGTH OF STAY; MALE; MIDDLE AGED; QUALITY INDICATORS, HEALTH CARE; QUALITY OF HEALTH CARE; REGISTRIES; SEX FACTORS; SOCIOECONOMIC FACTORS; YOUNG ADULT;

EID: 84855583201     PISSN: 01688510     EISSN: 18726054     Source Type: Journal    
DOI: 10.1016/j.healthpol.2011.07.010     Document Type: Article

References (24)

1. Ankjaer-Jensen A., Rosling P., Bilde L. Variable prospective financing in the Danish hospital sector and the development of a Danish case-mix system. Health Care Management Science 2006, 9(3):259-268.
2. Atkinson A, Rainwater L, Smeeding T. Income distribution in European Countries. Luxembourg income study working paper series (working paper no. 121); 1994.
3. Epstein A.M., Stern R.S., Weissman J.S. Do the poor cost more? A multihospital study of patients' socioeconomic status and use of hospital resources. New England Journal of Medicine 1990, 322(16):1122-1128.
4. Fernandez J., Chen C., Anolik G., Brdlik O.B., Laub G.W., Anderson W.A., et al. Perioperative risk factors affecting hospital stay and hospital costs in open heart surgery fro patients >65 years old. European Journal of Cardio-Thoracic Surgery 1997, 11(6):1133-1140.
5. Gornick M.E., Eggers P.W., Reilly T.W., Mentnech R.M., Fitterman L.K., Kucken L.E., et al. Effects of race and income on mortality and use of services among Medicare beneficiaries. New England Journal of Medicine 2008, 335(11):791-799.
6. Hamilton B.H., Hamilton V.H., Mayo N.E. What are the costs of queuing for hip fracture surgery in Canada?. Journal of Health Economics 1996, 15(2):161-185.
7. Husted H., Holm G., Sonne-Holm S. Få patient karakteristika påvirker indlæggelsesvarigheden ved operation med hofte- og knæalloplastik. Ugeskrift for Læger 2004, 166(37):3197-3201.
8. Husted H., Holm G., Jacobsen S. Predictors of length of stay and patient satisfaction after hip and knee replacement surgery: fast-track experience in 712 patients. Acta Orthopaedica 2008, 79(2):168-173.
9. Hvenegaard A., Street A., Sørensen T.H., Gyrd-Hansen D. Comparing hospital costs: what is gained by accounting for more than case-mix index?. Social Science and Medicine 2009, 69:640-647.
10. Kjøller M., Juel K., Kamper Jørgensen F. The public health report 2007, The National Institute of Public Health, Copenhag, p. 433-446.
11. Kominski G.F., Long S.H. Medicare's disproportionate share adjustment and the cost of low-income patients. Journal of Health Economics 1997, 16(2):177-190.
12. Kristensen T., Laudicella M., Ejersted C., Street A. Cost variation in diabetes care delivered in English hospitals. Diabetic Medicine 2010, 27(8):949-957.
13. Laudicella M., Olsen K.R., Street A. Examining cost variation across hospital departments-a two-stage multi-level approach using patient-level data. Social Science and Medicine 2010, 71(10):1872-1881.
14. Martin S., Smith P. Explaining variations in inpatient length of stay in the National Health Service. Journal of Health Economics 1996, 15(3):279-304.
15. Newhouse J.P. Risk adjustment: where are we now?. Inquiry 1998, 35(2):122-133.
16. Olsen K.R., Street A. The analysis of efficiency among a small number of organisations: how inferences can be improved by exploiting patient-level data. Health Economics 2008, 17(6):671-681.
17. Rosko M.D., Chilingerian J.A. Estimating hospital inefficiency: does case mix matter?. Journal of Medical Systems 1999, 23:57-71.
18. Statistics Denmark Sociale forhold, sundhed og retsvæsen Statistisk årbog 2006 2006, Danmarks Statistik, København, p. 143-194.
19. Theadom A., Cropley M. Effects of preoperative smoking cessation on the incidence and risk of intraoperative and postoperative complications in adult smokers: a systematic review. Tobacco Control 2006, 15(5):352-358.
20. Van de Ven W.P.M.M., Ellis R.P. Risk adjustment in competitive health plan markets. Handbook of health economics 2000, 757-845. Elsevier, Amsterdam. A.J. Culyer, J.P. Newhouse (Eds.).
21. Warner D.O. Preoperative abstinence from cigarettes. Anesthesiology 2006, 104(2):356-367.
22. Weissman J.S., Stern R., Fielding S.L., Epstein A.M. Delayed access to health care: risk factors, reasons, and consequences. Annals of Internal Medicine 1991, 114(4):325-331.
23. Welch W.P. Health care utilization in HMO's. Journal of Health Economics 1985, 4:293-308.
24. Social determinants of health. The solid facts 2003, WHO Library Cataloguing in Publication Data. 2nd ed. R. Wilkinson, M. Marmot (Eds.).