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Could shared decision making affect staying in hospital? A cross-sectional pilot study
BACKGROUND: Shared Decision Making (SDM) is an approach where clinicians and patients share the best available evidence to make decision and where patients opinions are considered. This approach provides benefits for patients, clinicians and health care system. The aim of the present study is to inv...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423869/ https://www.ncbi.nlm.nih.gov/pubmed/30885180 http://dx.doi.org/10.1186/s12913-019-4002-8 |
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author | Gualano, M. R. Bert, F. Passi, S. Stillo, M. Brescia, V. Scaioli, G. Thomas, R. Voglino, G. Minniti, D. Boraso, F. Siliquini, R. |
author_facet | Gualano, M. R. Bert, F. Passi, S. Stillo, M. Brescia, V. Scaioli, G. Thomas, R. Voglino, G. Minniti, D. Boraso, F. Siliquini, R. |
author_sort | Gualano, M. R. |
collection | PubMed |
description | BACKGROUND: Shared Decision Making (SDM) is an approach where clinicians and patients share the best available evidence to make decision and where patients opinions are considered. This approach provides benefits for patients, clinicians and health care system. The aim of the present study is to investigate the patients’ perception of their participation in treatment choices and to identify the possible influences of variables in decision aids and therapeutic choices. Furthermore the present study evaluates the impact of SDM on the length of hospital stay and the health expenditure in Piemonte, an Italian region. METHODS: A cross-sectional study was performed in 2016. The patients were selected after hospitalization to clinical and surgical units at the Rivoli and Susa Hospital. Data were collected through the questionnaire and the Hospital Discharge Registers. STROBE guidelines for observational studies were used. A descriptive analysis was conducted. Frequencies and percentages of the categorical variables were reported. Statistical analyses were performed using t-test, chi-square test and Mann-Whitney test. RESULTS: The final sample was made of 174 subjects. More than half of the sample reported a SDM approach. Female gender (p = 0.027) and lower age (p = 0.047) are associated with an increased possibility to report SDM. Receiving “good” or “excellent” information, having their own request fulfilled and their opinions took into account by healthcare professionals, were all found to be predictors for an approach recognized as SDM (p ≤ 0.05). The perception that healthcare professionals spent a proper amount of time with the patients and used an understendable language are factors increase the chance of a “shared” decision process (p ≤ 0.05). The patients trust in the information given by the healthcare professional is not affecting their perception about the decision making process (P = 0.195). No significant difference where recorded in length of stay and hospital expenditure. CONCLUSIONS: The data show the role played by different dimension of the patients-clinician relationship and that the strongest determinant of a perceived shared decision making approach are healthcare professional-depending. |
format | Online Article Text |
id | pubmed-6423869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64238692019-03-28 Could shared decision making affect staying in hospital? A cross-sectional pilot study Gualano, M. R. Bert, F. Passi, S. Stillo, M. Brescia, V. Scaioli, G. Thomas, R. Voglino, G. Minniti, D. Boraso, F. Siliquini, R. BMC Health Serv Res Research Article BACKGROUND: Shared Decision Making (SDM) is an approach where clinicians and patients share the best available evidence to make decision and where patients opinions are considered. This approach provides benefits for patients, clinicians and health care system. The aim of the present study is to investigate the patients’ perception of their participation in treatment choices and to identify the possible influences of variables in decision aids and therapeutic choices. Furthermore the present study evaluates the impact of SDM on the length of hospital stay and the health expenditure in Piemonte, an Italian region. METHODS: A cross-sectional study was performed in 2016. The patients were selected after hospitalization to clinical and surgical units at the Rivoli and Susa Hospital. Data were collected through the questionnaire and the Hospital Discharge Registers. STROBE guidelines for observational studies were used. A descriptive analysis was conducted. Frequencies and percentages of the categorical variables were reported. Statistical analyses were performed using t-test, chi-square test and Mann-Whitney test. RESULTS: The final sample was made of 174 subjects. More than half of the sample reported a SDM approach. Female gender (p = 0.027) and lower age (p = 0.047) are associated with an increased possibility to report SDM. Receiving “good” or “excellent” information, having their own request fulfilled and their opinions took into account by healthcare professionals, were all found to be predictors for an approach recognized as SDM (p ≤ 0.05). The perception that healthcare professionals spent a proper amount of time with the patients and used an understendable language are factors increase the chance of a “shared” decision process (p ≤ 0.05). The patients trust in the information given by the healthcare professional is not affecting their perception about the decision making process (P = 0.195). No significant difference where recorded in length of stay and hospital expenditure. CONCLUSIONS: The data show the role played by different dimension of the patients-clinician relationship and that the strongest determinant of a perceived shared decision making approach are healthcare professional-depending. BioMed Central 2019-03-18 /pmc/articles/PMC6423869/ /pubmed/30885180 http://dx.doi.org/10.1186/s12913-019-4002-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Gualano, M. R. Bert, F. Passi, S. Stillo, M. Brescia, V. Scaioli, G. Thomas, R. Voglino, G. Minniti, D. Boraso, F. Siliquini, R. Could shared decision making affect staying in hospital? A cross-sectional pilot study |
title | Could shared decision making affect staying in hospital? A cross-sectional pilot study |
title_full | Could shared decision making affect staying in hospital? A cross-sectional pilot study |
title_fullStr | Could shared decision making affect staying in hospital? A cross-sectional pilot study |
title_full_unstemmed | Could shared decision making affect staying in hospital? A cross-sectional pilot study |
title_short | Could shared decision making affect staying in hospital? A cross-sectional pilot study |
title_sort | could shared decision making affect staying in hospital? a cross-sectional pilot study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423869/ https://www.ncbi.nlm.nih.gov/pubmed/30885180 http://dx.doi.org/10.1186/s12913-019-4002-8 |
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