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Bias in patient satisfaction surveys: a threat to measuring healthcare quality
Patient satisfaction surveys are an increasingly common element of efforts to evaluate the quality of healthcare. Many patient satisfaction surveys in low/middle-income countries frame statements positively and invite patients to agree or disagree, so that positive responses may reflect either true...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5898299/ https://www.ncbi.nlm.nih.gov/pubmed/29662696 http://dx.doi.org/10.1136/bmjgh-2017-000694 |
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author | Dunsch, Felipe Evans, David K Macis, Mario Wang, Qiao |
author_facet | Dunsch, Felipe Evans, David K Macis, Mario Wang, Qiao |
author_sort | Dunsch, Felipe |
collection | PubMed |
description | Patient satisfaction surveys are an increasingly common element of efforts to evaluate the quality of healthcare. Many patient satisfaction surveys in low/middle-income countries frame statements positively and invite patients to agree or disagree, so that positive responses may reflect either true satisfaction or bias induced by the positive framing. In an experiment with more than 2200 patients in Nigeria, we distinguish between actual satisfaction and survey biases. Patients randomly assigned to receive negatively framed statements expressed significantly lower levels of satisfaction (87%) than patients receiving the standard positively framed statements (95%—p<0.001). Depending on the question, the effect is as high as a 19 percentage point drop (p<0.001). Thus, high reported patient satisfaction likely overstates the quality of health services. Providers and policymakers wishing to gauge the quality of care will need to avoid framing that induces bias and to complement patient satisfaction measures with more objective measures of quality. |
format | Online Article Text |
id | pubmed-5898299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-58982992018-04-16 Bias in patient satisfaction surveys: a threat to measuring healthcare quality Dunsch, Felipe Evans, David K Macis, Mario Wang, Qiao BMJ Glob Health Analysis Patient satisfaction surveys are an increasingly common element of efforts to evaluate the quality of healthcare. Many patient satisfaction surveys in low/middle-income countries frame statements positively and invite patients to agree or disagree, so that positive responses may reflect either true satisfaction or bias induced by the positive framing. In an experiment with more than 2200 patients in Nigeria, we distinguish between actual satisfaction and survey biases. Patients randomly assigned to receive negatively framed statements expressed significantly lower levels of satisfaction (87%) than patients receiving the standard positively framed statements (95%—p<0.001). Depending on the question, the effect is as high as a 19 percentage point drop (p<0.001). Thus, high reported patient satisfaction likely overstates the quality of health services. Providers and policymakers wishing to gauge the quality of care will need to avoid framing that induces bias and to complement patient satisfaction measures with more objective measures of quality. BMJ Publishing Group 2018-04-12 /pmc/articles/PMC5898299/ /pubmed/29662696 http://dx.doi.org/10.1136/bmjgh-2017-000694 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Analysis Dunsch, Felipe Evans, David K Macis, Mario Wang, Qiao Bias in patient satisfaction surveys: a threat to measuring healthcare quality |
title | Bias in patient satisfaction surveys: a threat to measuring healthcare quality |
title_full | Bias in patient satisfaction surveys: a threat to measuring healthcare quality |
title_fullStr | Bias in patient satisfaction surveys: a threat to measuring healthcare quality |
title_full_unstemmed | Bias in patient satisfaction surveys: a threat to measuring healthcare quality |
title_short | Bias in patient satisfaction surveys: a threat to measuring healthcare quality |
title_sort | bias in patient satisfaction surveys: a threat to measuring healthcare quality |
topic | Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5898299/ https://www.ncbi.nlm.nih.gov/pubmed/29662696 http://dx.doi.org/10.1136/bmjgh-2017-000694 |
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