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  • 1
    Online Resource
    Online Resource
    Knowledge E DMCC ; 2021
    In:  Evidence Based Health Policy, Management and Economics ( 2021-09-29)
    In: Evidence Based Health Policy, Management and Economics, Knowledge E DMCC, ( 2021-09-29)
    Abstract: Background: Identifying the key factors effective on outsourcing can play a significant role in helping healthcare decision makers to present solutions to improve the outsourcing situation. This study was conducted in order to systematically review the factors influencing the decision making to outsource the services of Iranian medical centers. Methods: Data was collected through searching for keywords in Google Scholar, PubMed, Scopus, Web of Science, Science direct, Magiran, SID and Irandoc databases from January 2010 to December 2020. Also, the quality of the studies was measured and verified by three experts utilizing the Strobe checklist. Researchers classified results achieved by the study. Results: 10 articles were selected that responded to the study's questions. 44 components in seven dimensions including (economic and financial components, components of laws and regulations (legal), components of supervision and control, components of service type, components of executive capability of the organization, components of the external environment of the organization and components human resources) were recognized on the decision to outsource services in medical centers in Iran. Conclusion: olicy makers at the decision-making level and managers at the executive level should consider the efficient components and dimensions before deciding to execute outsourcing in units according to the wanted structure, process and consequences, and then make the needed decision regarding the implementation.  
    Type of Medium: Online Resource
    ISSN: 2538-4716 , 2538-5070
    Language: Unknown
    Publisher: Knowledge E DMCC
    Publication Date: 2021
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2022
    In:  BMC Health Services Research Vol. 22, No. 1 ( 2022-12)
    In: BMC Health Services Research, Springer Science and Business Media LLC, Vol. 22, No. 1 ( 2022-12)
    Abstract: 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.
    Type of Medium: Online Resource
    ISSN: 1472-6963
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2050434-2
    Library Location Call Number Volume/Issue/Year Availability
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