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Interprofessional collaboration and patient-reported outcomes: a secondary data analysis based on large scale survey data

BACKGROUND: While interprofessional collaboration (IPC) is widely considered a key element of comprehensive patient treatment, evidence focusing on its impact on patient-reported outcomes (PROs) is inconclusive. The aim of this study was to investigate the association between employee-rated IPC and...

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Autores principales: Kaiser, Laura, Neugebauer, Edmund A. M., Pieper, Dawid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809039/
https://www.ncbi.nlm.nih.gov/pubmed/36597063
http://dx.doi.org/10.1186/s12913-022-08973-5
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author Kaiser, Laura
Neugebauer, Edmund A. M.
Pieper, Dawid
author_facet Kaiser, Laura
Neugebauer, Edmund A. M.
Pieper, Dawid
author_sort Kaiser, Laura
collection PubMed
description BACKGROUND: While interprofessional collaboration (IPC) is widely considered a key element of comprehensive patient treatment, evidence focusing on its impact on patient-reported outcomes (PROs) is inconclusive. The aim of this study was to investigate the association between employee-rated IPC and PROs in a clinical inpatient setting. METHODS: We conducted a secondary data analysis of the entire patient and employee reported data collected by the Picker Institute Germany in cross-sectional surveys between 2003 and 2016. Individual patient data from departments within hospitals was matched with employee survey data from within 2 years of treatment at the department-level. Items assessing employee-rated IPC (independent variables) were included in Principal Component Analysis (PCA). All questions assessing PROs (overall satisfaction, less discomforts, complications, treatment success, willingness to recommend) served as main dependent variables in ordered logistic regression analyses. Results were adjusted for multiple hypothesis testing as well as patients’ and employees’ gender, age, and education. RESULTS: The data set resulted in 6154 patients from 19 hospitals respective 103 unique departments. The PCA revealed three principal components (department-specific IPC, interprofessional organization, and overall IPC), explaining 67% of the total variance. The KMO measure of sampling adequacy was .830 and Bartlett’s test of sphericity highly significant (p < 0.001). An increase of 1 SD in department-specific IPC was associated with a statistically significant chance of a higher (i.e., better) PRO-rating about complications after discharge (OR 1.07, 95% CI 1.00–1.13, p = 0.029). However, no further associations were found. Exploratory analyses revealed positive coefficients of department-specific IPC on all PROs for patients which were treated in surgical or internal medicine departments, whereas results were ambiguous for pediatric patients. CONCLUSIONS: The association between department-level IPC and patient-level PROs remains – as documented in previous literature - unclear and results are of marginal effect sizes. Future studies should keep in mind the different types of IPC, their specific characteristics and possible effect mechanisms. TRIAL REGISTRATION: Study registration: Open Science Framework (DOI 10.17605/OSF.IO/2NYAX); Date of registration: 09 November 2021. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08973-5.
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spelling pubmed-98090392023-01-04 Interprofessional collaboration and patient-reported outcomes: a secondary data analysis based on large scale survey data Kaiser, Laura Neugebauer, Edmund A. M. Pieper, Dawid BMC Health Serv Res Research BACKGROUND: While interprofessional collaboration (IPC) is widely considered a key element of comprehensive patient treatment, evidence focusing on its impact on patient-reported outcomes (PROs) is inconclusive. The aim of this study was to investigate the association between employee-rated IPC and PROs in a clinical inpatient setting. METHODS: We conducted a secondary data analysis of the entire patient and employee reported data collected by the Picker Institute Germany in cross-sectional surveys between 2003 and 2016. Individual patient data from departments within hospitals was matched with employee survey data from within 2 years of treatment at the department-level. Items assessing employee-rated IPC (independent variables) were included in Principal Component Analysis (PCA). All questions assessing PROs (overall satisfaction, less discomforts, complications, treatment success, willingness to recommend) served as main dependent variables in ordered logistic regression analyses. Results were adjusted for multiple hypothesis testing as well as patients’ and employees’ gender, age, and education. RESULTS: The data set resulted in 6154 patients from 19 hospitals respective 103 unique departments. The PCA revealed three principal components (department-specific IPC, interprofessional organization, and overall IPC), explaining 67% of the total variance. The KMO measure of sampling adequacy was .830 and Bartlett’s test of sphericity highly significant (p < 0.001). An increase of 1 SD in department-specific IPC was associated with a statistically significant chance of a higher (i.e., better) PRO-rating about complications after discharge (OR 1.07, 95% CI 1.00–1.13, p = 0.029). However, no further associations were found. Exploratory analyses revealed positive coefficients of department-specific IPC on all PROs for patients which were treated in surgical or internal medicine departments, whereas results were ambiguous for pediatric patients. CONCLUSIONS: The association between department-level IPC and patient-level PROs remains – as documented in previous literature - unclear and results are of marginal effect sizes. Future studies should keep in mind the different types of IPC, their specific characteristics and possible effect mechanisms. TRIAL REGISTRATION: Study registration: Open Science Framework (DOI 10.17605/OSF.IO/2NYAX); Date of registration: 09 November 2021. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08973-5. BioMed Central 2023-01-03 /pmc/articles/PMC9809039/ /pubmed/36597063 http://dx.doi.org/10.1186/s12913-022-08973-5 Text en © The Author(s) 2023 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kaiser, Laura
Neugebauer, Edmund A. M.
Pieper, Dawid
Interprofessional collaboration and patient-reported outcomes: a secondary data analysis based on large scale survey data
title Interprofessional collaboration and patient-reported outcomes: a secondary data analysis based on large scale survey data
title_full Interprofessional collaboration and patient-reported outcomes: a secondary data analysis based on large scale survey data
title_fullStr Interprofessional collaboration and patient-reported outcomes: a secondary data analysis based on large scale survey data
title_full_unstemmed Interprofessional collaboration and patient-reported outcomes: a secondary data analysis based on large scale survey data
title_short Interprofessional collaboration and patient-reported outcomes: a secondary data analysis based on large scale survey data
title_sort interprofessional collaboration and patient-reported outcomes: a secondary data analysis based on large scale survey data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809039/
https://www.ncbi.nlm.nih.gov/pubmed/36597063
http://dx.doi.org/10.1186/s12913-022-08973-5
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