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Record W1908843739 · doi:10.55633/s3me/e088.2022

Education and training for preventing and minimizing workplace aggression directed toward healthcare workers

2024· article· en· W1908843739 on OpenAlex
Steve Geoffrion, Danny Hills, Heather Ross, Jacqueline Pich, April T. Hill, Therese Kristine Dalsbø, Sanaz Riahi, Begoña Martínez‐Jarreta, Stéphane Guay

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEmergencias · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsOntario Shores Centre for Mental Health SciencesUniversity of TorontoUniversité de Montréal
Fundersnot available
KeywordsPsychological interventionAbsenteeismAggressionHealth careMedicineRandomized controlled trialNursingOccupational safety and healthMEDLINEPoison controlFamily medicinePsychologyPsychiatryMedical emergencySocial psychology

Abstract

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<h4>Background</h4>Workplace aggression constitutes a serious issue for healthcare workers and organizations. Aggression is tied to physical and mental health issues at an individual level, as well as to absenteeism, decreased productivity or quality of work, and high employee turnover rates at an organizational level. To counteract these negative impacts, organizations have used a variety of interventions, including education and training, to provide workers with the knowledge and skills needed to prevent aggression. OBJECTIVES: To assess the effectiveness of education and training interventions that aim to prevent and minimize workplace aggression directed toward healthcare workers by patients and patient advocates.<h4>Search methods</h4>CENTRAL, MEDLINE, Embase, six other databases and five trial registers were searched from their inception to June 2020 together with reference checking, citation searching and contact with study authors to identify additional studies.<h4>Selection criteria</h4>Randomized controlled trials (RCTs), cluster-randomized controlled trials (CRCTs), and controlled before and after studies (CBAs) that investigated the effectiveness of education and training interventions targeting aggression prevention for healthcare workers.<h4>Data collection and analysis</h4>Four review authors evaluated and selected the studies resulting from the search. We used standard methodological procedures expected by Cochrane. We assessed the certainty of evidence using the GRADE approach.<h4>Main results</h4>We included nine studies-four CRCTs, three RCTs, and two CBAs-with a total of 1688 participants. Five studies reported episodes of aggression, and six studies reported secondary outcomes. Seven studies were conducted among nurses or nurse aides, and two studies among healthcare workers in general. Three studies took place in long-term care, two in the psychiatric ward, and four in hospitals or health centers. Studies were reported from the United States, Switzerland, the United Kingdom, Taiwan, and Sweden. All included studies reported on education combined with training interventions. Four studies evaluated online programs, and five evaluated face-to-face programs. Five studies were of long duration (up to 52 weeks), and four studies were of short duration. Eight studies had short-term follow-up (< 3 months), and one study long-term follow-up (> 1 year). Seven studies were rated as being at "high" risk of bias in multiple domains, and all had "unclear" risk of bias in a single domain or in multiple domains. Effects on aggression Short-term follow-up The evidence is very uncertain about effects of education and training on aggression at short-term follow-up compared to no intervention (standardized mean difference [SMD] -0.33, 95% confidence interval [CI] -1.27 to 0.61, 2 CRCTs; risk ratio [RR] 2.30, 95% CI 0.97 to 5.42, 1 CBA; SMD -1.24, 95% CI -2.16 to -0.33, 1 CBA; very low-certainty evidence). Long-term follow-up Education may not reduce aggression compared to no intervention in the long term (RR 1.14, 95% CI 0.95 to 1.37, 1 CRCT; low-certainty evidence). Effects on knowledge, attitudes, skills, and adverse outcomes Education may increase personal knowledge about workplace aggression at short-term follow-up (SMD 0.86, 95% CI 0.34 to 1.38, 1 RCT; low-certainty evidence). The evidence is very uncertain about effects of education on personal knowledge in the long term (RR 1.26, 95% CI 0.90 to 1.75, 1 RCT; very low-certainty evidence). Education may improve attitudes among healthcare workers at short-term follow-up, but the evidence is very uncertain (SMD 0.59, 95% CI 0.24 to 0.94, 2 CRCTs and 3 RCTs; very low-certainty evidence). The type and duration of interventions resulted in different sizes of effects. Education may not have an effect on skills related to workplace aggression (SMD 0.21, 95% CI -0.07 to 0.49, 1 RCT and 1 CRCT; very low-certainty evidence) nor on adverse personal outcomes, but the evidence is very uncertain (SMD -0.31, 95% CI -1.02 to 0.40, 1 RCT; very low-certainty evidence). Measurements of these concepts showed high heterogeneity.<h4>Authors' conclusions</h4>Education combined with training may not have an effect on workplace aggression directed toward healthcare workers, even though education and training may increase personal knowledge and positive attitudes. Better quality studies that focus on specific settings of healthcare work where exposure to patient aggression is high are needed. Moreover, as most studies have assessed episodes of aggression toward nurses, future studies should include other types of healthcare workers who are also victims of aggression in the same settings, such as orderlies (healthcare assistants). Studies should especially use reports of aggression at an institutional level and should rely on multi-source data while relying on validated measures. Studies should also include days lost to sick leave and employee turnover and should measure outcomes at one-year follow-up. Studies should specify the duration and type of delivery of education and should use an active comparison to prevent raising awareness and reporting in the intervention group only.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.375
Teacher spread0.315 · 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