Literature DB >> 23818280

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

Troels Kristensen1, Kim Rose Olsen, Henrik Schroll, Janus Laust Thomsen, Anders Halling.   

Abstract

BACKGROUND: In 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.
OBJECTIVES: To examine the relative explanatory power of morbidity measures and related general practice (GP) clinic characteristics in explaining variation in politically negotiated FFS expenditures.
METHODS: We 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.
RESULTS: Out 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.
CONCLUSIONS: Morbidity 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.

Entities:  

Mesh:

Year:  2013        PMID: 23818280     DOI: 10.1007/s10198-013-0499-7

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  41 in total

1.  Evaluation of the equity of age-sex adjusted primary care capitation payments in Ontario, Canada.

Authors:  Lyn M Sibley; Richard H Glazier
Journal:  Health Policy       Date:  2011-11-10       Impact factor: 2.980

2.  Multimorbidity and its measurement.

Authors:  Barbara Starfield; Karen Kinder
Journal:  Health Policy       Date:  2011-10-02       Impact factor: 2.980

3.  Reasons for encounter and disease patterns in Danish primary care: changes over 16 years.

Authors:  Grete Moth; Frede Olesen; Peter Vedsted
Journal:  Scand J Prim Health Care       Date:  2012-06       Impact factor: 2.581

Review 4.  The coming of age of ICPC: celebrating the 21st birthday of the International Classification of Primary Care.

Authors:  Jean-Karl Soler; Inge Okkes; Maurice Wood; Henk Lamberts
Journal:  Fam Pract       Date:  2008-06-17       Impact factor: 2.267

5.  [Danish General Medicine Database--future tool! The Danish Society of General Medicine].

Authors:  Henrik Schroll; Bo Christensen; John Sahl Andersen; Jens Søndergaard
Journal:  Ugeskr Laeger       Date:  2008-03-17

Review 6.  Multilevel models and health economics.

Authors:  N Rice; A Jones
Journal:  Health Econ       Date:  1997 Nov-Dec       Impact factor: 3.046

7.  Cost variation in diabetes care delivered in English hospitals.

Authors:  T Kristensen; M Laudicella; C Ejersted; A Street
Journal:  Diabet Med       Date:  2010-08       Impact factor: 4.359

8.  Comorbidity: implications for the importance of primary care in 'case' management.

Authors:  Barbara Starfield; Klaus W Lemke; Terence Bernhardt; Steven S Foldes; Christopher B Forrest; Jonathan P Weiner
Journal:  Ann Fam Med       Date:  2003 May-Jun       Impact factor: 5.166

9.  Validation of ACG Case-mix for equitable resource allocation in Swedish primary health care.

Authors:  Andrzej Zielinski; Maria Kronogård; Håkan Lenhoff; Anders Halling
Journal:  BMC Public Health       Date:  2009-09-18       Impact factor: 3.295

10.  Variability in prescription drug expenditures explained by adjusted clinical groups (ACG) case-mix: a cross-sectional study of patient electronic records in primary care.

Authors:  Alba Aguado; Elisabet Guinó; Bhramar Mukherjee; Antoni Sicras; Josep Serrat; Mateo Acedo; Juan Jose Ferro; Victor Moreno
Journal:  BMC Health Serv Res       Date:  2008-03-04       Impact factor: 2.655

View more
  4 in total

1.  Resource allocation and the burden of co-morbidities among patients diagnosed with chronic obstructive pulmonary disease: an observational cohort study from Danish general practice.

Authors:  Peder Ahnfeldt-Mollerup; Jesper Lykkegaard; Anders Halling; Kim Rose Olsen; Troels Kristensen
Journal:  BMC Health Serv Res       Date:  2016-04-06       Impact factor: 2.655

2.  Exploring variations in health-care expenditures-What is the role of practice styles?

Authors:  Alexander Ahammer; Thomas Schober
Journal:  Health Econ       Date:  2020-02-20       Impact factor: 3.046

3.  Systematic review on the instruments used for measuring the association of the level of multimorbidity and clinically important outcomes.

Authors:  Eng Sing Lee; Hui Li Koh; Elaine Qiao-Ying Ho; Sok Huang Teo; Fang Yan Wong; Bridget L Ryan; Martin Fortin; Moira Stewart
Journal:  BMJ Open       Date:  2021-05-05       Impact factor: 2.692

4.  Developing a dashboard to help measure and achieve the triple aim: a population-based cohort study.

Authors:  Hsien-Yeang Seow; Lyn M Sibley
Journal:  BMC Health Serv Res       Date:  2014-08-30       Impact factor: 2.655

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.