Work Related Quality of Life Among Health Care Workers in Sokoto, Northwestern Nigeria

ABSTRACT Healthcare workers (HCWs) play a vital role in healthcare delivery, but various occupational stressors significantly impact their work-related quality of life (WRQoL). This study assesses WRQoL among HCWs in selected tertiary hospitals in Sokoto, Nigeria, identifying key determinants and providing recommendations for improvement. A descriptive cross-sectional study was conducted among 206 HCWs at Usmanu Danfodiyo University Teaching Hospital (UDUTH) and Specialist Hospital Sokoto (SHS). The WRQoLscale was used to assess different domains, and statistical methods, including Pearson's correlation and regression models, were applied to determine predictors of WRQoL. The findings indicate that WRQoL was moderate among participants, with significant correlations observed between WRQoL and factors such as age, years of experience, and hours worked per week. Nurses reported better WRQoL compared to doctors and pharmacists. High workload, insufficient staffing, and limited career advancement opportunities were identified as major challenges affecting WRQoL. The study also found that increased working hours negatively affected WRQoL, whereas more years of experience correlated positively with better outcomes. Laboratory scientists demonstrated significantly better WRQoL than other professionals. Addressing workload distribution, providing career growth opportunities, and implementing work-life balance strategies are essential measures to improve WRQoL among HCWs. Enhancing workplace conditions and mental health support programs can contribute to overall job satisfaction and healthcare efficiency

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-18
DOI
https://doi.org/10.5281/zenodo.15485729
Primary Topic
Workplace Health and Well-being
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Work Related Quality of Life Among Health Care Workers in Sokoto, Northwestern Nigeria

Zenodo (CERN European Organization for Nuclear Research)
Workplace Health and Well-being
article

Work Related Quality of Life Among Health Care Workers in Sokoto, Northwestern Nigeria

article en

Abstract

ABSTRACT Healthcare workers (HCWs) play a vital role in healthcare delivery, but various occupational stressors significantly impact their work-related quality of life (WRQoL). This study assesses WRQoL among HCWs in selected tertiary hospitals in Sokoto, Nigeria, identifying key determinants and providing recommendations for improvement. A descriptive cross-sectional study was conducted among 206 HCWs at Usmanu Danfodiyo University Teaching Hospital (UDUTH) and Specialist Hospital Sokoto (SHS). The WRQoLscale was used to assess different domains, and statistical methods, including Pearson's correlation and regression models, were applied to determine predictors of WRQoL. The findings indicate that WRQoL was moderate among participants, with significant correlations observed between WRQoL and factors such as age, years of experience, and hours worked per week. Nurses reported better WRQoL compared to doctors and pharmacists. High workload, insufficient staffing, and limited career advancement opportunities were identified as major challenges affecting WRQoL. The study also found that increased working hours negatively affected WRQoL, whereas more years of experience correlated positively with better outcomes. Laboratory scientists demonstrated significantly better WRQoL than other professionals. Addressing workload distribution, providing career growth opportunities, and implementing work-life balance strategies are essential measures to improve WRQoL among HCWs. Enhancing workplace conditions and mental health support programs can contribute to overall job satisfaction and healthcare efficiency

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 38%
Workplace Health and Well-being
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.