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Understanding the influences and impact of patient‐clinician communication in cancer care
BACKGROUND: Patient‐clinician communication is thought to be central to care outcomes, but when and how communication affects patient outcomes is not well understood. OBJECTIVE: We propose a conceptual model and classification framework upon which the empirical evidence base for the impact of patien...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689225/ https://www.ncbi.nlm.nih.gov/pubmed/28636108 http://dx.doi.org/10.1111/hex.12579 |
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author | Lafata, Jennifer Elston Shay, Laura A. Winship, Jodi M. |
author_facet | Lafata, Jennifer Elston Shay, Laura A. Winship, Jodi M. |
author_sort | Lafata, Jennifer Elston |
collection | PubMed |
description | BACKGROUND: Patient‐clinician communication is thought to be central to care outcomes, but when and how communication affects patient outcomes is not well understood. OBJECTIVE: We propose a conceptual model and classification framework upon which the empirical evidence base for the impact of patient‐clinician communication can be summarized and further built. DESIGN: We use the proposed model and framework to summarize findings from two recent systematic reviews, one evaluating the use of shared decision making (SDM) on cancer care outcomes and the other evaluating the role of physician recommendation in cancer screening use. KEY RESULTS: Using this approach, we identified clusters of studies with positive findings, including those relying on the measurement of SDM from the patients’ perspective and affective‐cognitive outcomes, particularly in the context of surgical treatment decision making. We also identify important gaps in the literature, including the role of SDM in post‐surgical treatment and end‐of‐life care decisions, and those specifying particular physician communication strategies when recommending cancer screening. CONCLUSIONS: Transparent linkages between key conceptual domains and the influence of methodological approaches on observed patient outcomes are needed to advance our understanding of how and when patient‐clinician communication influences patient outcomes. The proposed conceptual model and classification framework can be used to facilitate the translation of empirical evidence into practice and to identify critical gaps in knowledge regarding how and when patient‐clinician communication impacts care outcomes in the context of cancer and health care more broadly. |
format | Online Article Text |
id | pubmed-5689225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56892252017-12-01 Understanding the influences and impact of patient‐clinician communication in cancer care Lafata, Jennifer Elston Shay, Laura A. Winship, Jodi M. Health Expect Original Research Papers BACKGROUND: Patient‐clinician communication is thought to be central to care outcomes, but when and how communication affects patient outcomes is not well understood. OBJECTIVE: We propose a conceptual model and classification framework upon which the empirical evidence base for the impact of patient‐clinician communication can be summarized and further built. DESIGN: We use the proposed model and framework to summarize findings from two recent systematic reviews, one evaluating the use of shared decision making (SDM) on cancer care outcomes and the other evaluating the role of physician recommendation in cancer screening use. KEY RESULTS: Using this approach, we identified clusters of studies with positive findings, including those relying on the measurement of SDM from the patients’ perspective and affective‐cognitive outcomes, particularly in the context of surgical treatment decision making. We also identify important gaps in the literature, including the role of SDM in post‐surgical treatment and end‐of‐life care decisions, and those specifying particular physician communication strategies when recommending cancer screening. CONCLUSIONS: Transparent linkages between key conceptual domains and the influence of methodological approaches on observed patient outcomes are needed to advance our understanding of how and when patient‐clinician communication influences patient outcomes. The proposed conceptual model and classification framework can be used to facilitate the translation of empirical evidence into practice and to identify critical gaps in knowledge regarding how and when patient‐clinician communication impacts care outcomes in the context of cancer and health care more broadly. John Wiley and Sons Inc. 2017-06-21 2017-12 /pmc/articles/PMC5689225/ /pubmed/28636108 http://dx.doi.org/10.1111/hex.12579 Text en © 2017 The Authors Health Expectations Published by John Wiley & Sons Ltd This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Papers Lafata, Jennifer Elston Shay, Laura A. Winship, Jodi M. Understanding the influences and impact of patient‐clinician communication in cancer care |
title | Understanding the influences and impact of patient‐clinician communication in cancer care |
title_full | Understanding the influences and impact of patient‐clinician communication in cancer care |
title_fullStr | Understanding the influences and impact of patient‐clinician communication in cancer care |
title_full_unstemmed | Understanding the influences and impact of patient‐clinician communication in cancer care |
title_short | Understanding the influences and impact of patient‐clinician communication in cancer care |
title_sort | understanding the influences and impact of patient‐clinician communication in cancer care |
topic | Original Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689225/ https://www.ncbi.nlm.nih.gov/pubmed/28636108 http://dx.doi.org/10.1111/hex.12579 |
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