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Record W2949356573 · doi:10.1111/jan.14293

Factors affecting nurses' job satisfaction in rural and urban acute care settings: A PRISMA systematic review

2019· review· en· W2949356573 on OpenAlexaff
Yasin M. Yasin, Michael Kerr, Carol Wong, Charles H. Bélanger

Bibliographic record

VenueJournal of Advanced Nursing · 2019
Typereview
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsLaurentian UniversityWestern University
Fundersnot available
KeywordsJob satisfactionAcute careNursingMEDLINEMedicineSystematic reviewPsychologyHealth careSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

AIMS: This review aimed to systematically assess the findings of primary studies to identify the factors associated with nurse job satisfaction in rural and urban contexts while analysing the findings according to Herzberg's theory. BACKGROUND: While there is evidence linking several factors to nurses' job satisfaction, gaps still exist in understanding the differences between factors affecting job satisfaction for nurses working in rural and urban settings. DESIGN: Systematic review with narrative summary. DATA SOURCES: Six databases were used to identify original studies that discuss the factors associated with the nurse's job satisfaction between 1998-2018. REVIEW METHODS: Two authors independently reviewed each study using the Joanna Briggs Institute's critical appraisal checklists. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement to report and examine the study biases systematically. RESULTS: A total of 38 studies were selected for this review. Physical working environment and authority and freedom were the most frequently reported factors associated with nurses' job satisfaction. Several extrinsic, intrinsic, personal, and community factors were also found to be associated with nurses' job satisfaction. Urban studies tended to focus on extrinsic factors, whereas there was more balance between the two sets of factors in rural studies. CONCLUSION: Both intrinsic and extrinsic factors play an essential role in nurses' job satisfaction. Future research should use more robust research methods and pay more attention to contrasting rural and urban contexts. Herzberg's theory can provide conceptual clarity when investigating the factors associated with nurses' job satisfaction. IMPACT: This review discussed the factors associated with nurses' job satisfaction in rural and urban settings. The findings linked several extrinsic and intrinsic factors to nurses' job satisfaction. Nursing management should search for the perfect blend of intrinsic and extrinsic factors based on nurses' needs and organizational commitment to improve nurses' job satisfaction.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.051
metaresearch head score (Gemma)0.131
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.051
Threshold uncertainty score0.267

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0510.131
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0090.012
Bibliometrics0.0190.018
Science and technology studies0.0030.002
Scholarly communication0.0050.006
Open science0.0040.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.021
GPT teacher head0.366
Teacher spread0.345 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations90
Published2019
Admission routes1
Has abstractyes

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