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Funnel plots of patient‐reported outcomes to evaluate health‐care quality: Basic principles, pitfalls and considerations

A funnel plot is a graphical method to evaluate health‐care quality by comparing hospital performances on certain outcomes. So far, in nephrology, this method has been applied to clinical outcomes like mortality and complications. However, patient‐reported outcomes (PROs; eg, health‐related quality...

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Autores principales: van der Willik, Esmee M., van Zwet, Erik W., Hoekstra, Tiny, van Ittersum, Frans J., Hemmelder, Marc H., Zoccali, Carmine, Jager, Kitty J., Dekker, Friedo W., Meuleman, Yvette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891340/
https://www.ncbi.nlm.nih.gov/pubmed/32725679
http://dx.doi.org/10.1111/nep.13761
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author van der Willik, Esmee M.
van Zwet, Erik W.
Hoekstra, Tiny
van Ittersum, Frans J.
Hemmelder, Marc H.
Zoccali, Carmine
Jager, Kitty J.
Dekker, Friedo W.
Meuleman, Yvette
author_facet van der Willik, Esmee M.
van Zwet, Erik W.
Hoekstra, Tiny
van Ittersum, Frans J.
Hemmelder, Marc H.
Zoccali, Carmine
Jager, Kitty J.
Dekker, Friedo W.
Meuleman, Yvette
author_sort van der Willik, Esmee M.
collection PubMed
description A funnel plot is a graphical method to evaluate health‐care quality by comparing hospital performances on certain outcomes. So far, in nephrology, this method has been applied to clinical outcomes like mortality and complications. However, patient‐reported outcomes (PROs; eg, health‐related quality of life [HRQOL]) are becoming increasingly important and should be incorporated into this quality assessment. Using funnel plots has several advantages, including clearly visualized precision, detection of volume‐effects, discouragement of ranking hospitals and easy interpretation of results. However, without sufficient knowledge of underlying methods, it is easy to stumble into pitfalls, such as overinterpretation of standardized scores, incorrect direct comparisons of hospitals and assuming a hospital to be in‐control (ie, to perform as expected) based on underpowered comparisons. Furthermore, application of funnel plots to PROs is accompanied by additional challenges related to the multidimensional nature of PROs and difficulties with measuring PROs. Before using funnel plots for PROs, high and consistent response rates, adequate case mix correction and high‐quality PRO measures are required. In this article, we aim to provide insight into the use and interpretation of funnel plots by presenting an overview of the basic principles, pitfalls and considerations when applied to PROs, using examples from Dutch routine dialysis care.
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spelling pubmed-78913402021-03-02 Funnel plots of patient‐reported outcomes to evaluate health‐care quality: Basic principles, pitfalls and considerations van der Willik, Esmee M. van Zwet, Erik W. Hoekstra, Tiny van Ittersum, Frans J. Hemmelder, Marc H. Zoccali, Carmine Jager, Kitty J. Dekker, Friedo W. Meuleman, Yvette Nephrology (Carlton) Reviews A funnel plot is a graphical method to evaluate health‐care quality by comparing hospital performances on certain outcomes. So far, in nephrology, this method has been applied to clinical outcomes like mortality and complications. However, patient‐reported outcomes (PROs; eg, health‐related quality of life [HRQOL]) are becoming increasingly important and should be incorporated into this quality assessment. Using funnel plots has several advantages, including clearly visualized precision, detection of volume‐effects, discouragement of ranking hospitals and easy interpretation of results. However, without sufficient knowledge of underlying methods, it is easy to stumble into pitfalls, such as overinterpretation of standardized scores, incorrect direct comparisons of hospitals and assuming a hospital to be in‐control (ie, to perform as expected) based on underpowered comparisons. Furthermore, application of funnel plots to PROs is accompanied by additional challenges related to the multidimensional nature of PROs and difficulties with measuring PROs. Before using funnel plots for PROs, high and consistent response rates, adequate case mix correction and high‐quality PRO measures are required. In this article, we aim to provide insight into the use and interpretation of funnel plots by presenting an overview of the basic principles, pitfalls and considerations when applied to PROs, using examples from Dutch routine dialysis care. John Wiley & Sons Australia, Ltd 2020-10-01 2021-02 /pmc/articles/PMC7891340/ /pubmed/32725679 http://dx.doi.org/10.1111/nep.13761 Text en © 2020 The Authors. Nephrology published by John Wiley & Sons Australia, Ltd on behalf of Asian Pacific Society of Nephrology. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Reviews
van der Willik, Esmee M.
van Zwet, Erik W.
Hoekstra, Tiny
van Ittersum, Frans J.
Hemmelder, Marc H.
Zoccali, Carmine
Jager, Kitty J.
Dekker, Friedo W.
Meuleman, Yvette
Funnel plots of patient‐reported outcomes to evaluate health‐care quality: Basic principles, pitfalls and considerations
title Funnel plots of patient‐reported outcomes to evaluate health‐care quality: Basic principles, pitfalls and considerations
title_full Funnel plots of patient‐reported outcomes to evaluate health‐care quality: Basic principles, pitfalls and considerations
title_fullStr Funnel plots of patient‐reported outcomes to evaluate health‐care quality: Basic principles, pitfalls and considerations
title_full_unstemmed Funnel plots of patient‐reported outcomes to evaluate health‐care quality: Basic principles, pitfalls and considerations
title_short Funnel plots of patient‐reported outcomes to evaluate health‐care quality: Basic principles, pitfalls and considerations
title_sort funnel plots of patient‐reported outcomes to evaluate health‐care quality: basic principles, pitfalls and considerations
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891340/
https://www.ncbi.nlm.nih.gov/pubmed/32725679
http://dx.doi.org/10.1111/nep.13761
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