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Record W4416354895 · doi:10.65035/9dm60p57

<b>PERCEPTIONS OF JOB STRESS, JOB SATISFACTION, AND WORK PERFORMANCE AMONG HOSPITAL STAFF IN PUBLIC-PRIVATE PARTNERSHIP-OPERATED FACILITIES IN BAJAUR TRIBAL DISTRICT, PAKISTAN</b>

2025· article· W4416354895 on OpenAlexaff
M. Jan, Mohammad Zakria

Bibliographic record

VenueJournal of medical & health sciences review. · 2025
Typearticle
Language
FieldNursing
TopicNursing education and management
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsHealth careThematic analysisJob satisfactionCoping (psychology)General partnershipQualitative researchJob stressHuman resource management

Abstract

fetched live from OpenAlex

Background: Healthcare workers in Public-Private Partnership (PPP)-operated hospitals in Bajaur Tribal District, Pakistan, face unique challenges due to the hybrid healthcare model, characterized by high stress levels, resource scarcity, and systemic barriers. Understanding the relationships between job stress, job satisfaction, and work performance in these settings is crucial for improving healthcare delivery and worker well-being. Objective: This study aimed to explore the lived experiences of healthcare workers in PPP hospitals, focusing on the impact of job stress on job satisfaction and work performance, and identifying the coping mechanisms that healthcare workers rely on to manage stress and sustain their performance in this challenging context. Methods: A qualitative phenomenological design was employed, utilizing Interpretative Phenomenological Analysis (IPA) to analyze data collected through semi-structured interviews with 20 healthcare workers, including doctors, nurses, paramedics, support staff, and administrative personnel. The data were transcribed verbatim, and thematic coding was conducted manually using Microsoft Word and Excel to identify emergent themes related to job stress, satisfaction, coping mechanisms, and performance. Results: The analysis revealed five key themes. Operational overload and stress emerged as a major source of strain, with healthcare workers facing high patient loads, resource shortages, and staff deficiencies, leading to significant stress and burnout. Additionally, systemic barriers in the PPP context, including delayed salaries, lack of specialists, and unclear administrative structures, exacerbated stress levels. Despite these challenges, job satisfaction acted as a buffer, with healthcare workers reporting fulfillment from helping patients, team support, and professional development. Coping mechanisms such as peer support, religious practices, and physical breaks were crucial in maintaining emotional and physical resilience. Finally, job stress negatively impacted work performance, causing delays in patient care, reduced focus, and errors. However, job satisfaction and effective coping strategies moderated these effects, helping healthcare workers maintain performance despite the stressors they faced. Conclusions: This study highlights the significant role of job satisfaction and coping mechanisms in mitigating the adverse effects of job stress on work performance in PPP hospitals. The systemic barriers and operational overload faced by healthcare workers in resource-scarce settings call for urgent policy interventions to address staffing shortages, improve resource allocation, and provide emotional and social support. Enhancing job satisfaction and support systems will be crucial in improving healthcare delivery and the well-being of healthcare workers in these environments.

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)0.011
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.368
Teacher spread0.342 · 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 designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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