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Record W7023832048

Prevalence of workplace violence among healthcare workers in a health district in Selangor and its associated factors

2017· other· en· W7023832048 on OpenAlexaboutno aff

Bibliographic record

VenueUniversiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) · 2017
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicUnderwater Acoustics Research
Canadian institutionsnot available
Fundersnot available
KeywordsWorkplace violenceStratified samplingPsychosocialHealth careOccupational safety and healthQuarter (Canadian coin)Verbal abuseHuman factors and ergonomicsSuicide prevention
DOInot available

Abstract

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Introduction: Workplace violence is incident where staff are abused, threatened or assaulted in circumstances related to their work, including commuting to and from work, involving an explicit or implicit challenge to their safety, well-being or health. It can be as mild as verbal abuse to a very serious condition such as homicide. Currently, there is no well establish reporting system or surveillance in healthcare setting specifically on workplace violence especially for violence which did not cause any physical injury. Published research on prevalence of healthcare workplace violence in Malaysia is very limited and only focus on nurses especially in the hospital. Objectives: This study aims to determine the prevalence of workplace violence among healthcare workers in Gombak health district and to determine its associated factors. Methodology: This is a cross-sectional study using proportionate stratified random sampling according to occupation among 481 healthcare workers in Gombak Health District. Face to face interview using structured questionnaire were done in this study. The questionnaire consists of three parts which are personal and workplace data, workplace violence and psychosocial factor. The workplace violence is any violence in any circurmstances related to work occurred within 6months prior to this study. After obtaining consent, the participants were interviewed and the answers were transferred to the structured questionnaire. The data were then analysed using descriptive, chi- squared test and multiple logistic regression. Results: Out of the 481 eligible samples, 441 participants agreed to participate giving a response rate of 91.7%. Around three quarter of the respondents was female. The median age was 31 years old. Majority of the respondents occupation were nurses or midwives (37.9%) followed by Health and Environmental Officer or Assistant Health and Environmental Officer (18.4%). The median working experience was 7 years. Around half of the respondents (48.5%) work in outpatient clinic and followed by 27.4 % of them working in maternal and child clinic. The prevalence of workplace violence among healthcare workers of Gombak Health District was found to be 24.3%. Among all risk factors studied, education level, occupation, main workplace setting, numbers of staff in workplace and job demand were found to have significant association with workplace violence. These factors were then analyzed using multiple logistic regression and only occupation, main workplace setting and job demand were significant enough to predict workplace violence. Conclusion: The prevalence in this study is comparable with the study in other country using the same definition of 6 months timeframe for workplace violence. In this study, it was found that occupation, main workplace setting and job demand were significant predictors of workplace violence.

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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)0.000
metaresearch head score (Gemma)0.000
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 score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.016
GPT teacher head0.229
Teacher spread0.213 · 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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