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Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures
PURPOSE: Results of patient-reported outcome measures (PROMs) are increasingly used to inform healthcare decision-making. Research has shown that response shift can impact PROM results. As part of an international collaboration, our goal is to provide a framework regarding the implications of respon...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602130/ https://www.ncbi.nlm.nih.gov/pubmed/33651278 http://dx.doi.org/10.1007/s11136-021-02766-9 |
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author | Sawatzky, Richard Kwon, Jae-Yung Barclay, Ruth Chauhan, Cynthia Frank, Lori van den Hout, Wilbert B. Nielsen, Lene Kongsgaard Nolte, Sandra Sprangers, Mirjam A. G. |
author_facet | Sawatzky, Richard Kwon, Jae-Yung Barclay, Ruth Chauhan, Cynthia Frank, Lori van den Hout, Wilbert B. Nielsen, Lene Kongsgaard Nolte, Sandra Sprangers, Mirjam A. G. |
author_sort | Sawatzky, Richard |
collection | PubMed |
description | PURPOSE: Results of patient-reported outcome measures (PROMs) are increasingly used to inform healthcare decision-making. Research has shown that response shift can impact PROM results. As part of an international collaboration, our goal is to provide a framework regarding the implications of response shift at the level of patient care (micro), healthcare institute (meso), and healthcare policy (macro). METHODS: Empirical evidence of response shift that can influence patients’ self-reported health and preferences provided the foundation for development of the framework. Measurement validity theory, hermeneutic philosophy, and micro-, meso-, and macro-level healthcare decision-making informed our theoretical analysis. RESULTS: At the micro-level, patients’ self-reported health needs to be interpreted via dialogue with the clinician to avoid misinterpretation of PROM data due to response shift. It is also important to consider the potential impact of response shift on study results, when these are used to support decisions. At the meso-level, individual-level data should be examined for response shift before aggregating PROM data for decision-making related to quality improvement, performance monitoring, and accreditation. At the macro-level, critical reflection on the conceptualization of health is required to know whether response shift needs to be controlled for when PROM data are used to inform healthcare coverage. CONCLUSION: Given empirical evidence of response shift, there is a critical need for guidelines and knowledge translation to avoid potential misinterpretations of PROM results and consequential biases in decision-making. Our framework with guiding questions provides a structure for developing strategies to address potential impacts of response shift at micro-, meso-, and macro-levels. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s11136-021-02766-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-8602130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-86021302021-12-03 Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures Sawatzky, Richard Kwon, Jae-Yung Barclay, Ruth Chauhan, Cynthia Frank, Lori van den Hout, Wilbert B. Nielsen, Lene Kongsgaard Nolte, Sandra Sprangers, Mirjam A. G. Qual Life Res Article PURPOSE: Results of patient-reported outcome measures (PROMs) are increasingly used to inform healthcare decision-making. Research has shown that response shift can impact PROM results. As part of an international collaboration, our goal is to provide a framework regarding the implications of response shift at the level of patient care (micro), healthcare institute (meso), and healthcare policy (macro). METHODS: Empirical evidence of response shift that can influence patients’ self-reported health and preferences provided the foundation for development of the framework. Measurement validity theory, hermeneutic philosophy, and micro-, meso-, and macro-level healthcare decision-making informed our theoretical analysis. RESULTS: At the micro-level, patients’ self-reported health needs to be interpreted via dialogue with the clinician to avoid misinterpretation of PROM data due to response shift. It is also important to consider the potential impact of response shift on study results, when these are used to support decisions. At the meso-level, individual-level data should be examined for response shift before aggregating PROM data for decision-making related to quality improvement, performance monitoring, and accreditation. At the macro-level, critical reflection on the conceptualization of health is required to know whether response shift needs to be controlled for when PROM data are used to inform healthcare coverage. CONCLUSION: Given empirical evidence of response shift, there is a critical need for guidelines and knowledge translation to avoid potential misinterpretations of PROM results and consequential biases in decision-making. Our framework with guiding questions provides a structure for developing strategies to address potential impacts of response shift at micro-, meso-, and macro-levels. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s11136-021-02766-9) contains supplementary material, which is available to authorized users. Springer International Publishing 2021-03-02 2021 /pmc/articles/PMC8602130/ /pubmed/33651278 http://dx.doi.org/10.1007/s11136-021-02766-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sawatzky, Richard Kwon, Jae-Yung Barclay, Ruth Chauhan, Cynthia Frank, Lori van den Hout, Wilbert B. Nielsen, Lene Kongsgaard Nolte, Sandra Sprangers, Mirjam A. G. Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures |
title | Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures |
title_full | Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures |
title_fullStr | Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures |
title_full_unstemmed | Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures |
title_short | Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures |
title_sort | implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602130/ https://www.ncbi.nlm.nih.gov/pubmed/33651278 http://dx.doi.org/10.1007/s11136-021-02766-9 |
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