Occupational Risks in Hospitals, Quality of Life, and Quality of Work Life: A Systematic Review
Bibliographic record
Abstract
This study systematically reviewed the relationship between occupational risks and quality of life (QoL) and quality of work life (QWL) in hospitals. A systematic review was performed according to the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guide, and the protocol was submitted on the PROSPERO website (CRD 2019127865). The last search was performed in June 2021 by two independent reviewers in the main databases, a gray literature database, and a manual search (LILACS, MEDLINE/PubMed, PsycINFO, CINAHL, Scopus, Embase, Brazilian Digital Library of Theses and Dissertations, Ovid). As eligibility criteria, we included observational studies, with adult hospital workers, with no restrictions on date and language, any type of instrument to assess QoL and QWL, any definition of QoL and QWL, and studies that presented the relationship between exposure and outcome. Newcastle-Ottawa was used to assess the methodological quality and RTI-Item Bank to assess the risk of bias. Given the impossibility of performing a meta-analysis, a qualitative synthesis was used to present the results. Thus, 11 studies met the criteria and were included in the review, with 6923 individuals aged 18 to 64 years. The studies were mainly carried out with health professionals (81.81%), women (63.60%), and in Asian countries (63.63%). All studies used different instruments and ways to categorize the QoL and QWL, and occupational risks. Only one study assessed occupational noise and another the ergonomic risk. All of them presented a relationship between occupational risk and quality of work life. They pointed to the need for measures to improve the lives of these professionals in the work environment. Therefore, studies show a relationship between occupational risks (noise, ergonomics, and stress) and workers' perception of low or moderate quality of work life. However, more homogeneous studies are necessary for instruments, conceptualization, and categorization of quality of work life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.051 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.010 |
| Bibliometrics | 0.014 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".