Evidence map›Paper›PMID 42183547›Full record

ArticleFrontiers in psychology2026

Machine learning insights into nurse retention through job satisfaction and financial incentives.

Ayşe Atılgan Sarıdoğan, Nabi Küçükgergerli, Muzaffer Ertürk, Murat Emeç, Adem Yaman

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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

5 authors.

Ayşe Atılgan SarıdoğanDepartment of Accounting and Tax Applications, Çanakkale Onsekiz Mart University, Çanakkale Vocational School of Social Sciences, Çanakkale, Türkiye.
Nabi KüçükgergerliDepartment of Business Administration, Istanbul Health and Technology University, Faculty of Economics, Administrative, and Social Sciences, Istanbul, Türkiye.
Muzaffer ErtürkSchool of Civil Aviation, Istanbul Nişantaşı University, Istanbul, Türkiye.
Murat EmeçSchool of Civil Aviation, Istanbul Nişantaşı University, Istanbul, Türkiye.
Adem YamanDirectorate of Internal Audit (İç Denetim Direktörlüğü), Çanakkale Onsekiz Mart University, Çanakkale, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global nursing shortage has reached a critical inflection point, where the financial sustainability of healthcare institutions is increasingly determined by their ability to maintain a stable, high-quality workforce. This study investigates the structural determinants of nurse staffing quality-operationalized as an institutional-level proxy for retention capacity-by integrating financial incentives, workload demands, and job-satisfaction metrics into an advanced machine-learning framework. Using the comprehensive CMS Provider Information dataset (

Indexed as

financial incentiveshealthcare managementjob demands-resources modeljob satisfactionmachine learningnurse retentionnursing staffing qualitypredictive modeling

Identifiers

PMID42183547
PMCPMC13189787

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.