Evidence map›Paper›PMID 39627761›Full record

ArticleBMC nursing2024

The influencing factors of newly employed nurses' adaptation in Malaysia: a structural equation modelling assessment.

Hafidza Baharum, Aniza Ismail, Zainudin Awang, Lisa McKenna, Roszita Ibrahim, Zainah Mohamed, Nor Haty Hassan, Abdul Haniff Mohamad Yahaya

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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.

Hafidza BaharumDepartment of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, 56000, Malaysia.
Aniza IsmailDepartment of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, 56000, Malaysia. aniza@hctm.ukm.edu.my.
Zainudin AwangFaculty of Business and Management, Universiti Sultan Zainal Abidin, Terengganu, 21300, Malaysia.
Lisa McKennaSchool of Nursing and Midwifery, La Trobe University, Bundoora, VIC, 3086, Australia.
Roszita IbrahimDepartment of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, 56000, Malaysia.
Zainah MohamedDepartment of Nursing, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, 56000, Malaysia.
Nor Haty HassanDepartment of Nursing, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, 56000, Malaysia.
Abdul Haniff Mohamad YahayaPharmacy Policy & Strategic Planning Division, Pharmaceutical Services Programme, Ministry of Health Malaysia, Petaling Jaya, Selangor, 46200, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGraduate nurses commonly experience the transition phase and are required to adapt quickly to their new workplace, as it is a prerequisite for a successful transition. However, workplace adaptation is extremely challenging and may affect nurses' future career prospects if not managed properly. Therefore, we aimed to determine the factors that facilitate newly employed nurses' adaptation and integration at Ministry of Health (MOH)-run state hospitals in Malaysia. The study framework was derived and adapted from the Roy adaptation model and organisational socialisation theories.

methodsThis quantitative study was conducted from May 2021 to December 2021. The sample population was newly employed nurses working at state hospitals with 1-2 years of service experience. This study involved 496 newly hired nurses from MOH state hospitals. Questionnaires were distributed through Google Forms. The data were analysed using covariance-based structural equation modelling.

resultsThe participants perceived that workplace organisation (OC), academic institution contribution (AIC), and new nurse's personality traits (PT) contributed approximately 36% to newly employed nurses' adaptation (NENA). PT partially mediated the relationship between OC and NENA and between AIC and NENA.

conclusionsThe results could be useful to nursing authorities. We also recommend that a nurse's personality be developed, emphasised, and enhanced through continuous programmes or training to ensure that they can easily adapt to their new working environment. Furthermore, academic institution and work organisation collaboration should be encouraged to develop improvement cycles that facilitate newly employed nurses' prompt and efficient adaptation at MOH hospitals during transition.

Indexed as

AcademicAdaptationOrganisationPersonalityStructural equation modelling

Identifiers

PMID39627761
PMCPMC11613506

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.