A quality indicator can be biased by intra-hospital heterogeneity: the case for quality of patient record keeping in France.

Background: Since 2008, French health institutions providing medical, surgical and obstetrical care are assessed on the basis of a set of quality indicators. The French National Authority for Health developed a survey design in which 80 records are randomly selected from each institution. The main a...

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Publicado en:European Journal of Public Health Vol. 25; no. 5; pp. 787 - 792
Autores principales: Lelong, Audrey, Leger, Stéphanie, Vendittelli, Françoise, Blanquet, Marie, Cong-Tri Thuong, Belgacem, Bénédicte, Gerbaud, Laurent
Formato: research tables/charts Journal Article
Publicado: Oxford University Press / USA 10/1/2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 10/1/2015
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      pub: Oxford University Press / USA
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        atl: A quality indicator can be biased by intra-hospital heterogeneity: the case for quality of patient record keeping in France.
      aug:
        au:
          Lelong, Audrey
          Leger, Stéphanie
          Vendittelli, Françoise
          Blanquet, Marie
          Cong-Tri Thuong
          Belgacem, Bénédicte
          Gerbaud, Laurent
        affil: Department of Public Health, Clermont-Ferrand University Hospital Center, Clermont-Ferrand, France
      sug:
        subj:
          Clinical Indicators
          Patient Record Systems France
          Hospitals
          Organizational Structure
          France
          Random Sample
          Simulations
          Databases
          Academic Medical Centers
          Descriptive Statistics
          Confidence Intervals
          Intraclass Correlation Coefficient
          kappa Statistic
          Data Analysis Software
          Funding Source
      ab: Background: Since 2008, French health institutions providing medical, surgical and obstetrical care are assessed on the basis of a set of quality indicators. The French National Authority for Health developed a survey design in which 80 records are randomly selected from each institution. The main aim was to assess the effects of internal heterogeneity of a hospital that comprises several units. The survey method is based on the hypothesis of intra-institution homogeneity, which overlooks the fact that in wide hospitals homogeneity is related to departments and thus leads to overall intra-hospital heterogeneity. Methods: Simulated databases were created to modelise the heterogeneity of our hospital and computed to assess the reliance of indicator measurement. We used real data from a large teaching hospital having internal heterogeneity related to each department. Results: Variance under heterogeneity was greater than under homogeneity (3-to 18-fold) leading to an increased size of the confidence interval (CI) (at 95%) from 9 (given Haute Autorité de Santé sources) to 22 (for greatest internal heterogeneity). Conclusions: The variations in a quality indicator can be explained by intra-institution heterogeneity and are not related to changes in the quality policy of the hospitals and may lead to errors in terms of pay for performance.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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