Literature DB >> 18241954

Population and primary health-care team characteristics explain the quality of the service.

Joan Gené-Badia1, Carlos Ascaso, Georgia Escaramis-Babiano, Arantxa Catalán-Ramos, Enriqueta Pujol-Ribera, Laura Sampietro-Colom.   

Abstract

OBJECTIVES: To identify the characteristics of the primary health-care (PHC) team's structure and of the assigned population affecting service quality dimensions, and to check whether the PHC team's performance varies when assessing the service quality using crude values or those adjusted by the structural factors that affect it. RESEARCH
DESIGN: Cross-sectional descriptive study.
SUBJECTS: 213 Catalan PHC teams. MEASUREMENTS: Service quality indicators measured in three dimensions: (1) access and physician-patient relationship; (2) team coordination and (3) evidence-based practice. The PHC team structural factors studied are: experience, setting (urban or rural), geographical dispersion, teaching activities and managerial structure. The catchment population characteristics analysed are: age, socio-economic level, mortality, and the proportion of the population that are immigrants.
RESULTS: Access and physician-patient relationship dimension were not affected by the studied structural factors. Team coordination improved in rural teams and in those providing care for older populations. Evidence-based practice was found to be higher in teaching teams, in more experienced teams and in those attending populations with a lower socio-economic level. Adjusted service quality indicator values substantially modify the PHC team quality ranking carried out on the basis of its crude values, especially in the team coordination and evidence-based practice dimensions.
CONCLUSIONS: A fair evaluation of PHC team performance must be based on its health-care service quality indicators adjusted for setting, age and socio-economic level of the catchment population and for the team's experience and teaching activities.

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Year:  2008        PMID: 18241954     DOI: 10.1016/j.healthpol.2007.11.014

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  6 in total

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  6 in total

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