Evidence map›Paper›PMID 41921120›Full record

ArticleJMIR research protocols2026

Specialists' Perceptions of Workforce Retention Strategies in the Malaysian Ministry of Health and Their Association With Job Satisfaction and Turnover Intention: Protocol for a REDCap-Based National Cross-Sectional Survey.

Siti Zubaidah Ahmad Subki, Ili Abdullah Sharin, Nor Haniza Zakaria, Nursyahda Zakaria, Pangie Bakit, Izzuan Khirman Adnan, Norehan Jinah, Kun Yun Lee

Abstract read
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Article in JMIR research protocols, 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
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1 · What the graph read from it

What it found

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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

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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

8 authors.

Siti Zubaidah Ahmad Subki *Institute for Health Management, National Institutes of Health, Ministry of Health Malaysia, Block B1, NIH Complex, No. 1 Jalan Setia Murni U13/52, Section U13, Setia Alam, Shah Alam, 40170, Malaysia, 60 333628314.ORCID 0009-0009-3889-4066
Ili Abdullah Sharin *Institute for Health Management, National Institutes of Health, Ministry of Health Malaysia, Block B1, NIH Complex, No. 1 Jalan Setia Murni U13/52, Section U13, Setia Alam, Shah Alam, 40170, Malaysia, 60 333628314.ORCID 0009-0006-3244-1929
Nor Haniza Zakaria *Institute for Health Management, National Institutes of Health, Ministry of Health Malaysia, Block B1, NIH Complex, No. 1 Jalan Setia Murni U13/52, Section U13, Setia Alam, Shah Alam, 40170, Malaysia, 60 333628314.ORCID 0000-0001-7970-1085
Nursyahda Zakaria *Institute for Health Management, National Institutes of Health, Ministry of Health Malaysia, Block B1, NIH Complex, No. 1 Jalan Setia Murni U13/52, Section U13, Setia Alam, Shah Alam, 40170, Malaysia, 60 333628314.ORCID 0000-0002-9636-6490
Pangie Bakit *Institute for Health Management, National Institutes of Health, Ministry of Health Malaysia, Block B1, NIH Complex, No. 1 Jalan Setia Murni U13/52, Section U13, Setia Alam, Shah Alam, 40170, Malaysia, 60 333628314.ORCID 0000-0001-9207-8929
Izzuan Khirman Adnan *Institute for Health Management, National Institutes of Health, Ministry of Health Malaysia, Block B1, NIH Complex, No. 1 Jalan Setia Murni U13/52, Section U13, Setia Alam, Shah Alam, 40170, Malaysia, 60 333628314.ORCID 0009-0002-0815-7590
Norehan Jinah *Institute for Health Management, National Institutes of Health, Ministry of Health Malaysia, Block B1, NIH Complex, No. 1 Jalan Setia Murni U13/52, Section U13, Setia Alam, Shah Alam, 40170, Malaysia, 60 333628314.ORCID 0009-0007-1546-9791
Kun Yun Lee *Institute for Health Management, National Institutes of Health, Ministry of Health Malaysia, Block B1, NIH Complex, No. 1 Jalan Setia Murni U13/52, Section U13, Setia Alam, Shah Alam, 40170, Malaysia, 60 333628314.ORCID 0000-0002-8606-3541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Retention of specialists is critical for sustaining health system performance. In Malaysia, the Ministry of Health (MOH) has implemented multiple workforce retention strategies (WRSs) to enhance job satisfaction and reduce turnover among specialists. However, evidence on specialists' awareness, participation, and perceived effectiveness of these strategies remains limited. To address this gap, we plan to administer a standardized survey among specialists in MOH health care facilities to guide evidence-based strategic planning toward specialist retention. Objective: This protocol describes a national-level online survey to assess MOH specialists' perceptions of WRS and examine their associations with job satisfaction and turnover intention, using REDCap (Research Electronic Data Capture) to ensure real-time data collection within a robust and secure digital platform. Methods: A cross-sectional mixed methods study will be conducted among 1325 MOH specialists selected through systematic random sampling from the Human Resource Management Information System. Data collection will be implemented using a REDCap-based workflow to support secure and efficient survey administration. REDCap functionalities will be used, including automated survey invitations with nontransferable links to prevent duplicate responses, branching logic to tailor item relevance, auto-reminder scheduling, and real-time data validation to minimize entry errors. The self-administered questionnaire comprises measures of specialists' awareness, participation, and perceived effectiveness of 12 MOH-implemented WRSs, job satisfaction assessed using the Job Satisfaction Survey, and turnover intention measured with the Turnover Intention Scale-6, as well as 2 optional open-ended questions for qualitative input to strengthen the quantitative results. A pilot study will be conducted to assess instrument reliability and REDCap platform usability. Quantitative data will be exported from REDCap for descriptive and inferential analyses, while qualitative responses will undergo thematic analysis using NVivo and be integrated with quantitative findings during interpretation. Results: This study will generate vital evidence of MOH specialists' engagement with WRSs and how perceptions of these strategies related to their job satisfaction and turnover intention. Participant recruitment and data collection have been completed, and the study is in the data analysis phase. It is expected that the data analysis will be completed in March 2026 and that the results will be published in June 2026. Conclusions: This protocol establishes a REDCap-based survey for conducting large-scale research focused on MOH specialists. Findings are expected to guide data-driven improvements to WRS implementation within the MOH Malaysia and may serve as a useful methodological model for similar research in public sector workforce studies.

Indexed as

Job SatisfactionPerceptionPersonnel TurnoverSpecializationCross-Sectional StudiesHumansIntentionMalaysiaSurveys and Questionnairesjob satisfactionphysicianREDCapretention strategiessustainabilityturnover intention

Identifiers

PMID41921120
PMCPMC13043007

What OpenQuestion holds

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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.