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On the correlation between outcome indicators and the structure and process indicators used to proxy them in public health care reporting.
Salampessy, Benjamin H; Portrait, France R M; van der Hijden, Eric; Klink, Ab; Koolman, Xander.
Afiliação
  • Salampessy BH; Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands. b.h.salampessij@vu.nl.
  • Portrait FRM; Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
  • van der Hijden E; Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
  • Klink A; Department of Political Science and Public Administration, Faculty of Social Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
  • Koolman X; Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
Eur J Health Econ ; 22(8): 1239-1251, 2021 Nov.
Article em En | MEDLINE | ID: mdl-34191196
ABSTRACT
Hospital quality indicators provide valuable insights for quality improvement, empower patients to choose providers, and have become a cornerstone of value-based payment. As outcome indicators are cumbersome and expensive to measure, many health systems have relied on proxy indicators, such as structure and process indicators. In this paper, we assess the extent to which publicly reported structure and process indicators are correlated with outcome indicators, to determine if these provide useful signals to inform the public about the outcomes. Quality indicators for three conditions (breast and colorectal cancer, and hip replacement surgery) for Dutch hospitals (2011-2018) were collected. Structure and process indicators were compared to condition-specific outcome indicators and in-hospital mortality ratios in a between-hospital comparison (cross-sectional and between-effects models) and in within-hospital comparison (fixed-effects models). Systematic association could not be observed for any of the models. Both positive and negative signs were observed where negative associations were to be expected. Despite sufficient statistical power, the share of significant correlations was small [mean share 13.2% (cross-sectional); 26.3% (between-effects); 13.2% (fixed-effects)]. These findings persisted in stratified analyses by type of hospital and in models using a multivariate approach. We conclude that, in the context of compulsory public reporting, structure and process indicators are not correlated with outcome indicators, neither in between-hospital comparisons nor in within-hospital comparisons. While structure and process indicators remain valuable for internal quality improvement, they are unsuitable as signals for informing the public about hospital differences in health outcomes.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Saúde Pública / Hospitais Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur J Health Econ Assunto da revista: SAUDE PUBLICA / SERVICOS DE SAUDE Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Saúde Pública / Hospitais Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur J Health Econ Assunto da revista: SAUDE PUBLICA / SERVICOS DE SAUDE Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Holanda