Evidence map›Paper›PMID 36927509›Full record

ArticleBMC health services research2023

A survival analysis approach to determine factors associated with non-retention of newly hired health workers in Iran.

Vahid Ghavami, Seyed Saeed Tabatabaee

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In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Vahid GhavamiDepartment of Epidemiology & Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Saeed TabatabaeeSocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. tabatabaees@mums.ac.ir.ORCID http://orcid.org/0000-0001-5758-0681
Mashhad University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimOne of the main tasks of the healthcare human resource management is to maintain and retain professional staff. The high level turnover of professional staff may reduce the quality of healthcare service delivery. Therefore, this study investigated the factors associated with the turnover of the newly recruited healthcare professionals using survival analysis method in Iran. MATERIALS AND

methodsThis historical cohort analysis comprised 6811 employees who began working at Mashhad University of Medical Sciences between 2005 and 2020. Employees recruited at any of the university's units between the years 2005 to 2019 were included. We used appropriate descriptive indices and Log-rank test and the Cox proportional-hazards model to assess the staff turnover. A significance level of 0.05 was used for all tests.

resultsThe findings of the survival analysis showed that the probability of turnover in one year, two years, and five years of employment were 0.12, 0.16, and 0.27. Based on the findings of the Log-rank test, the probability of turnover in entire of the study period was not statistically different between male and female (p = 0.573), and likewise between employees with healthcare occupations and non-healthcare occupations (p = 0.351). Employees whose current workplace and birthplace were not similar had a significantly higher probability of turnover (p < 0.001). Accordingly, the Cox regression result showed, the risk of turnover for the singles was 1.22 times higher than the married. For the Ph.D degree was 3.23 times higher compared to those with a diploma or an associate degree, and for a bachelor's or master's degree was 2.06 times more likely to change their workplace than those with a diploma or an associate degree.

conclusionPolicies promoting the recruitment of native-born professionals, given priority to the married candidates than single ones, and/or recurring candidates to pledge to stay in the locality of recruitment site can increase the staff retention and reduce the costs of staff turnover including re-hiring, initial and on-the-job training, accommodation, and other extra living consumptions away from home and family.

Indexed as

Personnel SelectionPersonnel TurnoverFemaleHealth PersonnelHumansIranMaleProportional Hazards ModelsEmployeeHealth workersRetentionSurvival analysis

Identifiers

PMID36927509
PMCPMC10022210
OpenAlexW4327556135

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read7
measurements read14
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.