Evidence map›Paper›PMID 41275216›Full record

ArticleBMC health services research2025

Designing a management model for outsourcing non-clinical services in public hospitals in Iran.

Shekoofeh Merati, Amir Ashkan Nasiripour, Leila Riahi, Kamran Hajinabi

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Shekoofeh MeratiDepartment of Health Services Management, SR.C., Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0000-0001-5778-1950
Amir Ashkan NasiripourDepartment of Health Services Management, SR.C., Islamic Azad University, Tehran, Iran. a.a.nasiripour@gmail.com.ORCID http://orcid.org/0000-0002-2569-6118
Leila RiahiDepartment of Health Services Management, SR.C., Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0000-0002-2044-5600
Kamran HajinabiDepartment of Health Services Management, SR.C., Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0000-0003-1227-7106

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeveloping countries are increasingly partnering with non-state actors through contracts to improve healthcare access, efficiency, and quality. This paper explores how to design a model for outsourcing non-clinical services in public hospitals.

methodsIn this study, data were gathered through structured online questionnaires. Participants included health policymakers, outsourcing experts, and public hospital managers. Questionnaire validity (CVI = 0.83, CVR = 0.61) was confirmed by 30 experts, with Cronbach's alpha (0.85) ensuring reliability. Data were analyzed using SPSS, LISREL, and factor analysis.

resultsResults showed planning, decision-making, performance management, contracts, communication, and knowledge management significantly impacted healthcare outsourcing. Planning had the strongest effect (β=0.94), while knowledge management had the weakest (β=0.34).

conclusionsThe findings guide hospital managers in optimizing non-clinical outsourcing through strategic planning, performance management, contract oversight, and communication. By focusing on these areas, public hospitals in Iran can enhance operational efficiency and improve patient care quality.

Indexed as

Hospitals, PublicModels, OrganizationalOutsourced ServicesEfficiency, OrganizationalHumansIranSurveys and QuestionnairesHospitalsOrganization and administrationOutsourcingParamedics

Identifiers

PMID41275216
PMCPMC12645711

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.