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Developing decision model for the outsourcing of medical service delivery in the public hospitals
BACKGROUND: The decision to outsource an activity is one of the most complex organizational decisions. This decision is also influenced by several factors and components. In order to facilitate and optimize it, for the first time in this study, a decision model for outsourcing medical service delive...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805371/ https://www.ncbi.nlm.nih.gov/pubmed/35101040 http://dx.doi.org/10.1186/s12913-022-07509-1 |
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author | Khosravizadeh, Omid Maleki, Aisa Ahadinezhad, Bahman Shahsavari, Saeed Amerzadeh, Mohammad Tazekand, Nasibeh Mansouran |
author_facet | Khosravizadeh, Omid Maleki, Aisa Ahadinezhad, Bahman Shahsavari, Saeed Amerzadeh, Mohammad Tazekand, Nasibeh Mansouran |
author_sort | Khosravizadeh, Omid |
collection | PubMed |
description | BACKGROUND: The decision to outsource an activity is one of the most complex organizational decisions. This decision is also influenced by several factors and components. In order to facilitate and optimize it, for the first time in this study, a decision model for outsourcing medical service delivery in public hospitals has been developed. METHODS: We conducted this cross-sectional study in 3 stages: 1) We identified the factors affecting the outsourcing decisions, 2) an expert panel identified the influential factors. After standardization, we distributed 220 questionnaires among university staff managers and heads, nursing managers, and managers of the research units, and 3) Structural Equation Model applied to evaluate the relationship between the variables on AMOS22, at 0.05 significant level. RESULTS: Findings indicated the optimal level of all fit indices. The path coefficient between all identified factors with the outsourcing decision was positive (t > 1.96). Factors ranging from the most effective to least effective included monitoring and control, service type, human resource, economic and financial, executive capability, external environment, and terms and conditions. CONCLUSION: The proposed model provides unit evaluation to make the appropriate decision on outsourcing or non-outsourcing. Control and monitoring were the most determining factors. We recommend performing monitoring continuously as a guide and deterrent to error. We also recommend continuous monitoring and control over the quality of outsourced units and stakeholder satisfaction. |
format | Online Article Text |
id | pubmed-8805371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88053712022-02-03 Developing decision model for the outsourcing of medical service delivery in the public hospitals Khosravizadeh, Omid Maleki, Aisa Ahadinezhad, Bahman Shahsavari, Saeed Amerzadeh, Mohammad Tazekand, Nasibeh Mansouran BMC Health Serv Res Research BACKGROUND: The decision to outsource an activity is one of the most complex organizational decisions. This decision is also influenced by several factors and components. In order to facilitate and optimize it, for the first time in this study, a decision model for outsourcing medical service delivery in public hospitals has been developed. METHODS: We conducted this cross-sectional study in 3 stages: 1) We identified the factors affecting the outsourcing decisions, 2) an expert panel identified the influential factors. After standardization, we distributed 220 questionnaires among university staff managers and heads, nursing managers, and managers of the research units, and 3) Structural Equation Model applied to evaluate the relationship between the variables on AMOS22, at 0.05 significant level. RESULTS: Findings indicated the optimal level of all fit indices. The path coefficient between all identified factors with the outsourcing decision was positive (t > 1.96). Factors ranging from the most effective to least effective included monitoring and control, service type, human resource, economic and financial, executive capability, external environment, and terms and conditions. CONCLUSION: The proposed model provides unit evaluation to make the appropriate decision on outsourcing or non-outsourcing. Control and monitoring were the most determining factors. We recommend performing monitoring continuously as a guide and deterrent to error. We also recommend continuous monitoring and control over the quality of outsourced units and stakeholder satisfaction. BioMed Central 2022-02-01 /pmc/articles/PMC8805371/ /pubmed/35101040 http://dx.doi.org/10.1186/s12913-022-07509-1 Text en © The Author(s) 2022 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 Khosravizadeh, Omid Maleki, Aisa Ahadinezhad, Bahman Shahsavari, Saeed Amerzadeh, Mohammad Tazekand, Nasibeh Mansouran Developing decision model for the outsourcing of medical service delivery in the public hospitals |
title | Developing decision model for the outsourcing of medical service delivery in the public hospitals |
title_full | Developing decision model for the outsourcing of medical service delivery in the public hospitals |
title_fullStr | Developing decision model for the outsourcing of medical service delivery in the public hospitals |
title_full_unstemmed | Developing decision model for the outsourcing of medical service delivery in the public hospitals |
title_short | Developing decision model for the outsourcing of medical service delivery in the public hospitals |
title_sort | developing decision model for the outsourcing of medical service delivery in the public hospitals |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805371/ https://www.ncbi.nlm.nih.gov/pubmed/35101040 http://dx.doi.org/10.1186/s12913-022-07509-1 |
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