Evidence map›Paper›PMID 23818280›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2014

Association between fee-for-service expenditures and morbidity burden in primary care.

Troels Kristensen, Kim Rose Olsen, Henrik Schroll, Janus Laust Thomsen, Anders Halling

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

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6citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Variation in Psychiatric Hospitalisations: A Multiple-Membership Multiple-Classification Analysis.International journal of environmental research and public health · 2024
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Troels KristensenFaculty of Health Sciences, COHERE-Centre of Health Economics Research, Institute of Public Health, University of Southern Denmark, Windsløwparken 9A, J.B. Winsløws Vej 9, 5000, Odense C, Denmark, trkristensen@health.sdu.dk.
Kim Rose Olsen
Henrik Schroll
Janus Laust Thomsen
Anders Halling

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn primary care, fee-for-services (FFS) tariffs are often based on political negotiation rather than costing systems. The potential for comprehensive measures of patient morbidity to explain variation in negotiated FFS expenditures has not previously been examined.

objectivesTo examine the relative explanatory power of morbidity measures and related general practice (GP) clinic characteristics in explaining variation in politically negotiated FFS expenditures.

methodsWe applied a multilevel approach to consider factors that explain FFS expenditures among patients and GP clinics. We used patient morbidity characteristics such as diagnostic markers, multimorbidity casemix adjustment based on resource utilisation bands (RUB) and related GP clinic characteristics for the year 2010. Our sample included 139,527 patients visiting GP clinics.

resultsOut of the individual expenditures, 31.6% were explained by age, gender and RUB, and around 18% were explained by RUB. Expenditures increased progressively with the degree of resource use (RUB0-RUB5). Adding more patient-specific morbidity measures increased the explanatory power to 44%; 3.8-9.4% of the variation in expenditures was related to the GP clinic in which the patient was treated.

conclusionsMorbidity measures were significant patient-related FFS expenditure drivers. The association between FFS expenditure and morbidity burden appears to be at the same level as similar studies in the hospital sector, where fees are based on average costing. However, our results indicate that there may be room for improvement of the association between politically negotiated FFS expenditures and morbidity in primary care.

Indexed as

MorbidityAdultAge FactorsCost of IllnessFee-for-Service PlansFemaleGeneral PractitionersHealth ExpendituresHumansMaleMiddle AgedModels, EconomicPrimary Health CareSex Factors

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