Patient-reported outcomes as hospital performance measures: the challenge of confounding and how to handle it.
Int J Qual Health Care
; 34(Supplement_1): ii59-ii64, 2022 Mar 31.
Article
em En
| MEDLINE
| ID: mdl-35357444
It is highly appealing to use patient-reported outcomes (PROs) as hospital performance measures; however, so far, the attention to key methodological issues has been limited. One of the most critical challenges when comparing PRO-based performance measures across providers is to rule out confounding. In this paper, we explain confounding and why it matters when comparing across providers. Using examples from studies, we present potential strategies for dealing with confounding when using PRO data at an aggregated level. We aim to give clinicians an overview of how confounding can be addressed in both the design stage (restriction, matching, self-controlled design and propensity score) and the analysis stage (stratification, standardization and multivariable adjustment, including multilevel analysis) of a study. We also briefly discuss strategies for confounding control when data on important confounders are missing or unavailable.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Medidas de Resultados Relatados pelo Paciente
/
Hospitais
Limite:
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article