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Published in: BMC Health Services Research 1/2013

Open Access 01-12-2013 | Research article

The effect of activity-based financing on hospital length of stay for elderly patients suffering from heart diseases in Norway

Authors: Jun Yin, Hilde Lurås, Terje P Hagen, Fredrik A Dahl

Published in: BMC Health Services Research | Issue 1/2013

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Abstract

Background

Whether activity-based financing of hospitals creates incentives to treat more patients and to reduce the length of each hospital stay is an empirical question that needs investigation. This paper examines how the level of the activity-based component in the financing system of Norwegian hospitals influences the average length of hospital stays for elderly patients suffering from ischemic heart diseases. During the study period, the activity-based component changed several times due to political decisions at the national level.

Methods

The repeated cross-section data were extracted from the Norwegian Patient Register in the period from 2000 to 2007, and included patients with angina pectoris, congestive heart failure, and myocardial infarction. Data were analysed with a log-linear regression model at the individual level.

Results

The results show a significant, negative association between the level of activity-based financing and length of hospital stays for elderly patients who were suffering from ischemic heart diseases. The effect is small, but an increase of 10 percentage points in the activity-based component reduced the average length of each hospital stay by 1.28%.

Conclusions

In a combined financing system such as the one prevailing in Norway, hospitals appear to respond to economic incentives, but the effect of their responses on inpatient cost is relatively meagre. Our results indicate that hospitals still need to discuss guidelines for reducing hospitalisation costs and for increasing hospital activity in terms of number of patients and efficiency.
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Literature
1.
go back to reference Guterman S, Dobson A: Impact of the Medicare prospective payment system for hospitals. Health Care Financing Rev. 1986, 7 (3): 97-114. Guterman S, Dobson A: Impact of the Medicare prospective payment system for hospitals. Health Care Financing Rev. 1986, 7 (3): 97-114.
2.
go back to reference Newhouse JP, Byrne DJ: Did Medicare’s Prospective Payment System cause length of stay to fall?. J Health Econ. 1988, 7 (4): 413-416. 10.1016/0167-6296(88)90023-9.CrossRefPubMed Newhouse JP, Byrne DJ: Did Medicare’s Prospective Payment System cause length of stay to fall?. J Health Econ. 1988, 7 (4): 413-416. 10.1016/0167-6296(88)90023-9.CrossRefPubMed
3.
go back to reference Freiman MP, Ellis RP, McGuire TG: Provider response to Medicare’s PPS: reductions in length of stay for psychiatric patients treated in scatter beds. Inquiry J Med Care Org, Prov Financing. 1989, 26 (2): 192-201. Freiman MP, Ellis RP, McGuire TG: Provider response to Medicare’s PPS: reductions in length of stay for psychiatric patients treated in scatter beds. Inquiry J Med Care Org, Prov Financing. 1989, 26 (2): 192-201.
4.
go back to reference Frank RG, Lave JR: A comparison of hospital responses to reimbursement policies for Medicaid psychiatric patients. Rand J Econ. 1989, 20 (4): 588-600. 10.2307/2555735.CrossRefPubMed Frank RG, Lave JR: A comparison of hospital responses to reimbursement policies for Medicaid psychiatric patients. Rand J Econ. 1989, 20 (4): 588-600. 10.2307/2555735.CrossRefPubMed
5.
go back to reference Gay EG, Kronenfeld JJ: “Regulation, retrenchment--the DRG experience: problems from changing reimbursement practice.,”. Soc Sci Med (1982). 1990, 31 (10): 1103-1118. 10.1016/0277-9536(90)90232-H.CrossRef Gay EG, Kronenfeld JJ: “Regulation, retrenchment--the DRG experience: problems from changing reimbursement practice.,”. Soc Sci Med (1982). 1990, 31 (10): 1103-1118. 10.1016/0277-9536(90)90232-H.CrossRef
6.
go back to reference Ellis RP, McGuire TG: Hospital response to prospective payment: moral hazard, selection, and practice-style effects. J Health Econ. 1996, 15 (3): 257-277. 10.1016/0167-6296(96)00002-1.CrossRefPubMed Ellis RP, McGuire TG: Hospital response to prospective payment: moral hazard, selection, and practice-style effects. J Health Econ. 1996, 15 (3): 257-277. 10.1016/0167-6296(96)00002-1.CrossRefPubMed
7.
go back to reference Ellis RP: Creaming, skimping and dumping: provider competition on the intensive and extensive margins. J Health Econ. 1998, 17 (5): 537-555. 10.1016/S0167-6296(97)00042-8.CrossRefPubMed Ellis RP: Creaming, skimping and dumping: provider competition on the intensive and extensive margins. J Health Econ. 1998, 17 (5): 537-555. 10.1016/S0167-6296(97)00042-8.CrossRefPubMed
8.
go back to reference Gilman BH: Hospital response to DRG refinements: the impact of multiple reimbursement incentives on inpatient length of stay. Health Econ. 2000, 9 (4): 277-294. 10.1002/1099-1050(200006)9:4<277::AID-HEC513>3.0.CO;2-1.CrossRefPubMed Gilman BH: Hospital response to DRG refinements: the impact of multiple reimbursement incentives on inpatient length of stay. Health Econ. 2000, 9 (4): 277-294. 10.1002/1099-1050(200006)9:4<277::AID-HEC513>3.0.CO;2-1.CrossRefPubMed
9.
go back to reference Norton EC, Van Houtven CH, Lindrooth RC, Normand S-LT, Dickey B: Does prospective payment reduce inpatient length of stay?. Health Econ. 2002, 11 (5): 377-387. 10.1002/hec.675.CrossRefPubMed Norton EC, Van Houtven CH, Lindrooth RC, Normand S-LT, Dickey B: Does prospective payment reduce inpatient length of stay?. Health Econ. 2002, 11 (5): 377-387. 10.1002/hec.675.CrossRefPubMed
10.
go back to reference Dafny LS: How Do Hospitals Respond to Price Changes?. Am Econ Rev. 2005, 95 (5): 1525-1547. 10.1257/000282805775014236.CrossRef Dafny LS: How Do Hospitals Respond to Price Changes?. Am Econ Rev. 2005, 95 (5): 1525-1547. 10.1257/000282805775014236.CrossRef
11.
go back to reference Kroneman M, Nagy J: “Introducing DRG-based financing in Hungary: a study into the relationship between supply of hospital beds and use of these beds under changing institutional circumstances.,”. Health policy (Amsterdam, Netherlands). 2001, 55 (1): 19-36. 10.1016/S0168-8510(00)00118-4.CrossRef Kroneman M, Nagy J: “Introducing DRG-based financing in Hungary: a study into the relationship between supply of hospital beds and use of these beds under changing institutional circumstances.,”. Health policy (Amsterdam, Netherlands). 2001, 55 (1): 19-36. 10.1016/S0168-8510(00)00118-4.CrossRef
12.
go back to reference Theurl E, Winner H: “The impact of hospital financing on the length of stay: evidence from Austria.,”. Health policy (Amsterdam, Netherlands). 2007, 82 (3): 375-389. 10.1016/j.healthpol.2006.11.001.CrossRef Theurl E, Winner H: “The impact of hospital financing on the length of stay: evidence from Austria.,”. Health policy (Amsterdam, Netherlands). 2007, 82 (3): 375-389. 10.1016/j.healthpol.2006.11.001.CrossRef
13.
go back to reference Chalkley M, Malcomson JM: Contracting for health services when patient demand does not reflect quality. J Health Econ. 1998, 17 (1): 1-19. 10.1016/S0167-6296(97)00019-2.CrossRefPubMed Chalkley M, Malcomson JM: Contracting for health services when patient demand does not reflect quality. J Health Econ. 1998, 17 (1): 1-19. 10.1016/S0167-6296(97)00019-2.CrossRefPubMed
14.
go back to reference Chalkley M: Government purchasing of health services in Handbook of Health Economics, Vol. 1A. 2000, Amsterdam: Elsevier, 847-889. 1 Chalkley M: Government purchasing of health services in Handbook of Health Economics, Vol. 1A. 2000, Amsterdam: Elsevier, 847-889. 1
15.
go back to reference Biørn E, Hagen TP, Iversen T, Magnussen J: The effect of activity-based financing on hospital efficiency: a panel data analysis of DEA efficiency scores 1992–2000. Health Care Manag Sci. 2003, 6 (4): 271-283. 10.1023/A:1026212820367.CrossRefPubMed Biørn E, Hagen TP, Iversen T, Magnussen J: The effect of activity-based financing on hospital efficiency: a panel data analysis of DEA efficiency scores 1992–2000. Health Care Manag Sci. 2003, 6 (4): 271-283. 10.1023/A:1026212820367.CrossRefPubMed
16.
go back to reference Biørn E, Hagen TP, Iversen T, Magnussen J: How different are hospitals’ responses to a financial reform? The impact on efficiency of activity-based financing. Health Care Manag Sci. 2010, 13 (1): 1-16. 10.1007/s10729-009-9106-y.CrossRefPubMed Biørn E, Hagen TP, Iversen T, Magnussen J: How different are hospitals’ responses to a financial reform? The impact on efficiency of activity-based financing. Health Care Manag Sci. 2010, 13 (1): 1-16. 10.1007/s10729-009-9106-y.CrossRefPubMed
17.
go back to reference Johannessen K-A, Hagen TP: “Variations in labor supply between female and male hospital physicians: results from a modern welfare state.,”. Health policy (The Employers Organization Spekter, Norway). 2012, 107 (1): 74-82. Johannessen K-A, Hagen TP: “Variations in labor supply between female and male hospital physicians: results from a modern welfare state.,”. Health policy (The Employers Organization Spekter, Norway). 2012, 107 (1): 74-82.
18.
go back to reference Martin S, Smith P: Explaining variations in inpatient length of stay in the National Health Service. J Health Econ. 1996, 15 (3): 279-304. 10.1016/0167-6296(96)00003-3.CrossRefPubMed Martin S, Smith P: Explaining variations in inpatient length of stay in the National Health Service. J Health Econ. 1996, 15 (3): 279-304. 10.1016/0167-6296(96)00003-3.CrossRefPubMed
19.
go back to reference King KM: Gender and short-term recovery from cardiac surgery. Nursing Res. 2000, 49 (1): 29-36. 10.1097/00006199-200001000-00005.CrossRef King KM: Gender and short-term recovery from cardiac surgery. Nursing Res. 2000, 49 (1): 29-36. 10.1097/00006199-200001000-00005.CrossRef
20.
go back to reference Jørgensen HS, Reith J, Nakayama H, Kammersgaard LP, Raaschou HO, Olsen TS: What determines good recovery in patients with the most severe strokes? The Copenhagen Stroke Study. Stroke J Cereb Circulation. 1999, 30 (10): 2008-2012. 10.1161/01.STR.30.10.2008.CrossRef Jørgensen HS, Reith J, Nakayama H, Kammersgaard LP, Raaschou HO, Olsen TS: What determines good recovery in patients with the most severe strokes? The Copenhagen Stroke Study. Stroke J Cereb Circulation. 1999, 30 (10): 2008-2012. 10.1161/01.STR.30.10.2008.CrossRef
21.
go back to reference Moloney ED, Bennett K, Silke B: Patient and disease profile of emergency medical readmissions to an Irish teaching hospital. Postgrad Med J. 2004, 80 (946): 470-474. 10.1136/pgmj.2003.017624.CrossRefPubMedPubMedCentral Moloney ED, Bennett K, Silke B: Patient and disease profile of emergency medical readmissions to an Irish teaching hospital. Postgrad Med J. 2004, 80 (946): 470-474. 10.1136/pgmj.2003.017624.CrossRefPubMedPubMedCentral
22.
go back to reference Kuo Y-F, Goodwin JS: Effect of hospitalists on length of stay in the medicare population: variation according to hospital and patient characteristics. J Am Geriatrics Soc. 2010, 58 (9): 1649-1657. 10.1111/j.1532-5415.2010.03007.x.CrossRef Kuo Y-F, Goodwin JS: Effect of hospitalists on length of stay in the medicare population: variation according to hospital and patient characteristics. J Am Geriatrics Soc. 2010, 58 (9): 1649-1657. 10.1111/j.1532-5415.2010.03007.x.CrossRef
23.
go back to reference Sloan FA, Valvona J: Why has hospital length of stay declined? An evaluation of alternative theories. Soc Sci Med. 1986, 22 (1): 63-73. 10.1016/0277-9536(86)90309-6.CrossRefPubMed Sloan FA, Valvona J: Why has hospital length of stay declined? An evaluation of alternative theories. Soc Sci Med. 1986, 22 (1): 63-73. 10.1016/0277-9536(86)90309-6.CrossRefPubMed
24.
go back to reference Clarke A: Why are we trying to reduce length of stay? Evaluation of the costs and benefits of reducing time in hospital must start from the objectives that govern change. QHC. 1996, 5 (3): 172-179.PubMedPubMedCentral Clarke A: Why are we trying to reduce length of stay? Evaluation of the costs and benefits of reducing time in hospital must start from the objectives that govern change. QHC. 1996, 5 (3): 172-179.PubMedPubMedCentral
25.
go back to reference Simpson S, Packer C, Stevens A, Raftery J: Predicting the impact of new health technologies on average length of stay: development of a prediction framework. Int J Technol Assess Health Care. 2005, 21 (4): 487-491.CrossRefPubMed Simpson S, Packer C, Stevens A, Raftery J: Predicting the impact of new health technologies on average length of stay: development of a prediction framework. Int J Technol Assess Health Care. 2005, 21 (4): 487-491.CrossRefPubMed
26.
go back to reference Deaton A: “Panel data from time series of cross-sections,”. J Econ. 1985, 109-126. Deaton A: “Panel data from time series of cross-sections,”. J Econ. 1985, 109-126.
27.
go back to reference Hausman JA, Taylor WE: Panel Data and Unobservable Individual Effects. Econometrica. 1981, 49 (6): 1377-1398. 10.2307/1911406.CrossRef Hausman JA, Taylor WE: Panel Data and Unobservable Individual Effects. Econometrica. 1981, 49 (6): 1377-1398. 10.2307/1911406.CrossRef
28.
go back to reference Albert K, Sherman B, Backus B: “How length of stay for congestive heart failure patients was reduced through six sigma methodology and physician leadership.,”. Am J Med Qual: J Am Coll Med Qual. 25 (5): 392-397. Albert K, Sherman B, Backus B: “How length of stay for congestive heart failure patients was reduced through six sigma methodology and physician leadership.,”. Am J Med Qual: J Am Coll Med Qual. 25 (5): 392-397.
29.
go back to reference Wick L: Heart Failure Disease Management Improves Outcomes and Reduces Costs. 1998, Duluth Wick L: Heart Failure Disease Management Improves Outcomes and Reduces Costs. 1998, Duluth
30.
go back to reference Wright S: Factors influencing the length of hospital stay of patients with heart failure. Eur J Heart Failure. 2003, 5 (2): 201-209. 10.1016/S1388-9842(02)00201-5.CrossRef Wright S: Factors influencing the length of hospital stay of patients with heart failure. Eur J Heart Failure. 2003, 5 (2): 201-209. 10.1016/S1388-9842(02)00201-5.CrossRef
31.
go back to reference Saebu L, Rethans JJ: Management of patients with angina pectoris by GPs: a study with standardized (simulated) patients in actual practice. Family practice. 1997, 14 (6): 431-435. 10.1093/fampra/14.6.431.CrossRefPubMed Saebu L, Rethans JJ: Management of patients with angina pectoris by GPs: a study with standardized (simulated) patients in actual practice. Family practice. 1997, 14 (6): 431-435. 10.1093/fampra/14.6.431.CrossRefPubMed
32.
go back to reference Laurenti R, Buchalla CM, De Caratin VS: “Ischemic heart disease. Hospitalization, length of stay and expenses in Brazil from 1993 to 1997,”. Arquivos Brasileiros de Cardiologia. 2000, 74 (6): 488-492.CrossRef Laurenti R, Buchalla CM, De Caratin VS: “Ischemic heart disease. Hospitalization, length of stay and expenses in Brazil from 1993 to 1997,”. Arquivos Brasileiros de Cardiologia. 2000, 74 (6): 488-492.CrossRef
33.
go back to reference Hausman JA: Specification Tests in Econometrics. Econometrica, Econometric Soc. 1978, 46 (6): 1251-1271. 10.2307/1913827.CrossRef Hausman JA: Specification Tests in Econometrics. Econometrica, Econometric Soc. 1978, 46 (6): 1251-1271. 10.2307/1913827.CrossRef
34.
go back to reference Cornwell C, Rupert P: Efficient Estimation with Panel Data: An Empirical Comparison of Instrumental Variables Estimators. J Applied Econ. 1988, 3 (2): 149-155. 10.1002/jae.3950030206.CrossRef Cornwell C, Rupert P: Efficient Estimation with Panel Data: An Empirical Comparison of Instrumental Variables Estimators. J Applied Econ. 1988, 3 (2): 149-155. 10.1002/jae.3950030206.CrossRef
Metadata
Title
The effect of activity-based financing on hospital length of stay for elderly patients suffering from heart diseases in Norway
Authors
Jun Yin
Hilde Lurås
Terje P Hagen
Fredrik A Dahl
Publication date
01-12-2013
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2013
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/1472-6963-13-172

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