Evidence map›Paper›PMID 41593598›Full record

ArticleBMC nursing2026

Occupational stress among nurses in the Ashanti Region of Ghana: a comparative cross-sectional study of government and private hospitals.

Benjamin Antwi Boasiako, Joana Apenkwa, Denis Dekugmen Yar, Prince Kwabena Achoo, Crispen Kandatam

Abstract read
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Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Benjamin Antwi BoasiakoDepartment of Public Health Education, Faculty of Environment and Health Education, Akenten Appiah -Menka University of Skills Training Entrepreneurial Development, Mampong, Ghana. 11640145@wiuc-ghana.edu.gh.
Joana ApenkwaDepartment of Public Health Education, Faculty of Environment and Health Education, Akenten Appiah -Menka University of Skills Training Entrepreneurial Development, Mampong, Ghana.
Denis Dekugmen YarDepartment of Public Health Education, Faculty of Environment and Health Education, Akenten Appiah -Menka University of Skills Training Entrepreneurial Development, Mampong, Ghana.
Prince Kwabena AchooDepartment of Public Health Education, Faculty of Environment and Health Education, Akenten Appiah -Menka University of Skills Training Entrepreneurial Development, Mampong, Ghana.
Crispen KandatamDepartment of Public Health Education, Faculty of Environment and Health Education, Akenten Appiah -Menka University of Skills Training Entrepreneurial Development, Mampong, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOccupational stress, which negatively affects nurses’ health, job satisfaction, and quality of patient care, is a major challenge in nursing. This study conducted a comparative analysis of occupational stress among nurses in government and private hospitals in the Ashanti Region of Ghana, identifying levels, predictors, effects, and coping strategies. METHODOLOGY: A hospital-based comparative cross-sectional study was conducted among 375 nurses selected through multistage sampling. Data were collected via structured questionnaires covering demographic data, stress levels, influencing factors, effects, and coping mechanisms. The data were analysed with SPSS version 27.0 via descriptive statistics, chi-square tests and logistic regression.

resultsHigh occupational stress was reported by 51.2% of nurses, with stress levels significantly higher in government hospitals than in private hospitals [AOR = 2.43 (1.04, 5.65), p = 0.039]. Marital status, age, rank, and years of experience were significantly associated with stress levels. Key stressors included heavy workload (69.6%), inadequate resources (61.1%), lack of overtime pay (61.6%), and unsatisfactory salaries (64.3%). Nurses in government hospitals were twice as likely to report reduced patient care attitudes [AOR = 1.78 (1.06–3.00), p = 0.030]. Emotional stressors such as patient deaths were reported by 81.1% of the nurses. Nurses adopted coping strategies such as time management, hobbies, and peer support.

conclusionThis study revealed that a significant proportion of nurses in both government and private hospitals in the Ashanti Region experienced high levels of occupational stress. Nurses in government hospitals were more likely to report stress than were those in private hospitals. This imply that nurses’ stress can harm their well-being and patient care. To mitigate stress, hospital management and policymakers should strengthen support systems, ensure fair remuneration, recognize nurses’ efforts, and enforce adequate staffing and resources.

Indexed as

HospitalNurseOccupational stressStressStressorsWork-related stress

Identifiers

PMID41593598
PMCPMC12918321

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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.