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Keep it Simple? Predicting Primary Health Care Costs with Measures of Morbidity and Multimorbidity
Brilleman, Samuel L; Gravelle, Hugh; Hollinghurst, Sandra; … - Centre for Health Economics, Department of Economics … - 2011
their age, gender, deprivation and alternative measures of their morbidity and multimorbidity. Such information is required … the ability of eight measures of patient morbidity and multimorbidity to predict future primary care costs using data on … multimorbidity measures was very good for this type of individual level cross section data, with R2 ranging from 0.31 to 0.46. The …
Persistent link: https://www.econbiz.de/10009399771
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Analysis of productivity, efficiency and technological changes in hospital services in Ontario : how does case-mix matter?
Chowdhury, Hedayet; Zelenyuk, Valentin; Laporte, Audrey; … - In: International journal of production economics 150 (2014), pp. 74-82
Persistent link: https://www.econbiz.de/10010337594
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Case-mix system as a boundary object : the case of home care services
Sajtos, Laszlo; Rouse, Paul; Harrison, Julie; Parsons, … - In: Australasian marketing journal 22 (2014) 3, pp. 189-196
Persistent link: https://www.econbiz.de/10010427969
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Patient classification based on volume and case-mix in the emergency department and their association with performance
Zaerpour, Farzad; Bischak, Diane P.; Menezes, Mozart B. C. - In: Health care management science : a new journal serving … 23 (2020) 3, pp. 387-400
Persistent link: https://www.econbiz.de/10012291192
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The DRG-based hospital prospective payment system in Greece : an assessment of the reimbursement rates using clinical severity classification
Vozikis, A.; Xesfingi, S.; Moustaferi, E.; Balbouzis, T.; … - In: Modern economy 7 (2016) 13, pp. 1584-1600
Persistent link: https://www.econbiz.de/10011647537
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Economic incentives and diagnostic coding in a public health care system
Anthun, Kjartan S.; Bjørngaard, Johan Håkon; … - In: International journal of health economics and management 17 (2017) 1, pp. 83-101
Persistent link: https://www.econbiz.de/10011814099
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Using machine learning to assess the predictive potential of standardized nursing data for home healthcare case-mix classification
Korte, Maud H. de; Verhoeven, Gertjan S.; Elissen, … - In: The European journal of health economics : HEPAC ; … 21 (2020) 8, pp. 1121-1129
Persistent link: https://www.econbiz.de/10012490426
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Nursing workload measures and case-mix: an investigation of the reliability and validity of nursing workload measures
Jenkins-Clarke, Sue; Carr-Hill, Roy - Centre for Health Economics, Department of Economics … - 1991
The general aim of this one-year project, funded by the Department of Health and in collaboration with CASPE, has been to investigate the relationship between case-mix and nursing workload measures. Specifically, this report focuses on the underlying issue of examining methodologies and...
Persistent link: https://www.econbiz.de/10005344360
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Analysis of productivity, efficiency and technological changes in hospital services in Ontario: How does case-mix matter?
Chowdhury, Hedayet; Zelenyuk, Valentin; Laporte, Audrey; … - In: International Journal of Production Economics 150 (2014) C, pp. 74-82
In this paper we compare productivity, efficiency and technological changes with and without case-mix as output categories using panel data on Ontario hospitals for the period 2002–2006. We use the Malmquist Productivity Index (MPI), Data Envelopment Analysis (DEA), and non-parametric density...
Persistent link: https://www.econbiz.de/10010753137
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Mixing it up : operational impact of hospitalist caseload and case-mix
Kamalahmadi, Masoud; Bretthauer, Kurt M.; Helm, Jonathan E. - In: Management science : journal of the Institute for … 69 (2023) 1, pp. 283-307
Persistent link: https://www.econbiz.de/10014289010