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Record W4407610033 · doi:10.1186/s12909-025-06780-0

Factors related to professional commitment of nursing students: a systematic review and thematic synthesis

2025· review· en· W4407610033 on OpenAlexaboutno aff
Hengxi Chen, Yali Chen, Ai Zheng, Tan Xin, Ling Han

Bibliographic record

VenueBMC Medical Education · 2025
Typereview
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsnot available
Fundersnot available
KeywordsThematic analysisMedical educationPsychologyNursingMedicineQualitative researchSociology

Abstract

fetched live from OpenAlex

BACKGROUND: To identify the factors related to nursing students' professional commitment. Such research can assist in identifying strategies that can be used to cultivate and strengthen professional commitment among nursing students, which can ultimately help address nursing shortages and improve the overall quality of care. METHODS: A systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). PubMed, EMBASE, MEDLINE, CINAHL, Cochrane Library, Web of Science were searched for English-language articles from inception and July 1, 2024.Studies were systematically screened for inclusion based on predetermined eligibility criteria. The studies were quality assessed using Non-Randomized Studies (RoBANS), the JBI Critical Appraisal Checklist, the Newcastle-Ottawa Scale (NOS), Mixed-Method Appraisal Tool (MMAT), and data were analyzed using thematic analysis. A thematic synthesis was performed to identify descriptive themes across all included studies. The process involved intensive reading of the literature, followed by the extraction of qualitative data, which was organized into topically similar codes. Researchers collaborated to merge related codes into subthemes, which were then consolidated into main themes for the final report. RESULTS: A total of 1,165 studies were identified from the search, and 16 met the predetermined inclusion criteria. Three key themes emerged from the synthesis: individual factors (age, gender, region, psychological well-being, motivation, self-efficacy, career choice and individual perception), educational factors (educator impact, academic achievement, clinical experience and learning environment) and family and social factors (family influence, influence from others and social perception).Key findings indicate that age, gender, and region significantly impact professional commitment, with female students displaying greater growth post-internship. Psychological well-being is a crucial factor, with perceived stress adversely affecting commitment levels. Motivation, self-efficacy, and pre-internship commitment are pivotal in fostering long-term engagement in the profession. Additionally, involuntary career choices correlate with lower commitment, highlighting the importance of informed decision-making. Educators play a vital role, as supportive teaching practices enhance student well-being and commitment. Academic achievement and clinical experiences further influence professional dedication. Family support and social perceptions, including occupational stigma, are also crucial in shaping commitment levels. Collectively, these findings underscore the necessity of a supportive educational environment and societal perceptions to enhance nursing professional commitment. CONCLUSIONS: This review identifies key factors influencing nursing students' professional commitment, including individual, educational, family, and social influences. To enhance commitment, it is essential to foster psychological well-being, motivation, and self-efficacy within supportive educational environments. Implementing mentorship programs and addressing societal perceptions can mitigate stigma and strengthen commitment. These findings highlight the need for targeted interventions in nursing education and policy to improve workforce retention and care quality. Future research should assess the long-term impact of these strategies. REGISTRATION: The protocol for the conduct of this study was registered on the International Prospective Register of Systematic Reviews (PROSPERO) with the registration number CRD42024564848.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.172
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.064
GPT teacher head0.467
Teacher spread0.403 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2025
Admission routes1
Has abstractyes

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