Evidence map›Paper›PMID 35101040›Full record

ArticleBMC health services research2022

Developing decision model for the outsourcing of medical service delivery in the public hospitals.

Omid Khosravizadeh, Aisa Maleki, Bahman Ahadinezhad, Saeed Shahsavari, Mohammad Amerzadeh, Nasibeh Mansouran Tazekand

Abstract read
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Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Omid KhosravizadehSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.ORCID https://orcid.org/0000-0001-6893-3489
Aisa MalekiHealth products safety research center, Qazvin University of Medical Sciences, Qazvin, Iran.ORCID https://orcid.org/0000-0001-5706-0993
Bahman AhadinezhadSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.ORCID https://orcid.org/0000-0001-6940-3498
Saeed ShahsavariDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0806-6026
Mohammad AmerzadehSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.ORCID https://orcid.org/0000-0003-2251-8786
Nasibeh Mansouran TazekandStudent Research Committee, Qazvin University of Medical Sciences, Qazvin, Iran. n.mansoran1367@gmail.com.ORCID https://orcid.org/0000-0002-4925-5595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsWe 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.

resultsFindings 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.

conclusionThe 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.

Indexed as

Outsourced ServicesCross-Sectional StudiesHospitals, PublicHumansSurveys and QuestionnairesDecision modelHospitalMedical serviceOutsourcing

Identifiers

PMID35101040
PMCPMC8805371

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.