| Literature DB >> 35351708 |
Yue Zhang1,2, Jianzheng Cai1, Rulan Yin3,4, Shuwen Qin1,2, Haifang Wang1, Xiaoqing Shi1, Lifen Mao5.
Abstract
BACKGROUND: The prevalence of inter-nurse lateral violence (LV) reported in current studies is inconsistent, ranging from 7% to 83%. The purpose of this study is to quantify the prevalence of LV in nurses' workplaces.Entities:
Keywords: health & safety; health services administration & management; mental health; occupational & industrial medicine; psychiatry
Mesh:
Year: 2022 PMID: 35351708 PMCID: PMC8966576 DOI: 10.1136/bmjopen-2021-054014
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Screening flow chart.
Figure 2Forest plot of eligible studies.
Subgroup analysis of the pooled prevalence
| Subgroup | Studies | Pooled prevalence (95% CI) |
| Test of difference within each subgroup | |
| Q | P value | ||||
| Region | |||||
| Asia | 9 | 0.42 (0.28 to 0.55) | 99.20% | 13.01 | <0.001*** |
| Non-Asia | 4 | 0.14 (0.08 to 0.20) | 90.60% | ||
| Country | |||||
| USA | 3 | 0.12 (0.05 to 0.19) | 88.90% | 10.03 | 0.040* |
| China | 5 | 0.54 (0.26 to 0.82) | 99.50% | ||
| Korea | 2 | 0.26 (−0.02 to 0.54) | 98.90% | ||
| Saudi Arabia | 2 | 0.27 (0.09 to 0.45) | 94.80% | ||
| Sample size | |||||
| ≥200 | 8 | 0.21 (0.14 to 0.28) | 97.70% | 5 | 0.025* |
| <200 | 5 | 0.53 (0.26 to 0.80) | 98.80% | ||
| Sampling | |||||
| Random | 5 | 0.17 (0.08 to 0.26) | 96.30% | 8.46 | 0.004** |
| Convenience | 8 | 0.43 (0.28 to 0.59) | 99.30% | ||
| Quality score | |||||
| High risk | 4 | 0.52 (0.24 to 0.79) | 98.80% | 3.31 | 0.069 |
| Low risk | 9 | 0.25 (0.16 to 0.33) | 98.40% | ||
| Response rate | |||||
| <50% | 5 | 0.24 (0.12 to 0.37) | 97.80% | 2.15 | 0.143 |
| ≥50% | 8 | 0.39 (0.24 to 0.53) | 99.30% | ||
| Publication time | |||||
| <2016 | 4 | 0.15 (0.06 to 0.24) | 97.30% | 8.13 | 0.004** |
| 2016–2020 | 9 | 0.41 (0.26 to 0.57) | 99.10% | ||
*p<0.05, **p<0.01, ***p<0.001.
Meta-regression analyses of the effects of potential moderators
| Variables | Β | 95% CI | R2 | P value | |
| Lower | Upper | ||||
| Region, Asia | 0.1345 | −0.0544 | 0.5376 | 19.31% | 0.100 |
| Sample size, ≥200 | 0.1176 | 0.0772 | 0.5949 | 80.48% | 0.016* |
| Sampling, random | 0.1303 | −0.638 | 0.5096 | 12.34% | 0.115 |
| Quality score, high risk | 0.1391 | −0.0259 | 0.5864 | 46.74% | 0.069 |
| Response rate, <50% | 0.1445 | −0.4286 | 0.2071 | −13.10% | 0.460 |
| Publication time, <2016 | 0.1309 | −0.0529 | 0.5233 | 25.23% | 0.100 |
*p<0.05.
Figure 3Sensitivity analysis estimating heterogeneity.
Figure 4Sensitivity analysis estimating heterogeneity.
Characteristics of the included 14 studies
| Study | Country | Participants | Sampling | Response rate | Sample size | Gender | Age (mean) | Nursing experience | Quality score |
| Vessey | US | Registered nurses | Random | 100% | 303 | 289:14 | 49 | NA | 4 |
| Hampton | US | Nursing leaders | Convenience | 1.8% | 175 | 166:9 | 54 | NA | 2 |
| Pien | China | Nurses | Convenience | 94.7% | 1690 | 1690:0 | 33.4 | NA | 3 |
| Park | South Korea | Registered nurses | Convenience | 94.4% | 970 | 970:0 | 28.6 | NA | 3 |
| Al-Surimi | Saudi Arabia | Nurses | Convenience | 48.3% | 519 | 922:152 | 38.77 | NA | 2 |
| Pai and Lee | China | Registered nurses | Random | 77.9% | 521 | 498:23 | 36.2 | 20% | 4 |
| Rayan | Saudi Arabia | Nurses | Random | 98% | 118 | 77:41 | 29.14 | NA | 2 |
| Difazio | Russia | Registered nurses | Random | 0.32% | 438 | 392:10 | 20.56 | NA | 4 |
| Johnson and Rea | US | Registered nurses | Random | 32.5% | 249 | 204:45 | 48.81 | NA | 4 |
| Chang and Cho | Korea | Registered nurses | Convenience | 44.01% | 312 | 294:18 | 23.7 | NA | 3 |
| Li and Yu | China | Nurses | Convenience | 95.77% | 136 | 120:16 | NA | 69.1% | 1 |
| Wang | China | Nurses | Convenience | 94.4% | 187 | 187:0 | 35.42 | 59.4% | 3 |
| Wu | China | Neurosurgery nurses | Convenience | 100% | 127 | 122:5 | 26.47 | 78% | 2 |
| Cheung | China | Nurses | Random | 5.3% | 850 | 745:105 | 34–44 | NA | 4 |
M, man; NA, not available; W, woman.
LV-related characteristics of the 14 included studies
| Study | Measurement | Event | Prevalence |
| Vessey | A 30-item anonymous electronic survey was created in SurveyMonkey | 31 | 0.10 |
| Hampton | NAQ-R | 38 | 0.22 |
| Pien | A self-administered questionnaire was used to record the nurses’ experiences of workplace violence, including types (physical, psychological, verbal and sexual) and sources (internal and external) of violence | 228 | 0.13 |
| Park | COPSOQ II | 112 | 0.12 |
| Al-Surimi | It was sourced from an integrative literature review by Houck and Colbert. Responses to 15 themes were rated on a 5-point Likert scale | 186 | 0.36 |
| Pai and Lee | WVQ | 169 | 0.32 |
| Rayan | The modified version of the Joint Programme on Workplace Violence in the Health Sector published by the International Labour Office | 21 | 0.18 |
| Difazio | The Bullying in the Workplace 26-itemsurvey | 79 | 0.18 |
| Johnson and Rea | NAQ-R | 17 | 0.07 |
| Chang and Cho | COPSOQ II | 125 | 0.40 |
| Li and Yu | Lateral violence questionnaire compiled by Gao Yingying | 96 | 0.71 |
| Wang | Lateral violence questionnaire compiled by Li XY | 135 | 0.72 |
| Wu | SS | 105 | 0.83 |
| Cheung and Yip | Workplace violence in the health sector country case studies research instruments survey questionnaires (English version) by an ILO/ICN/WHO/PSI project. | 30 | 0.03 |
COPSOQ II, the second version of the medium-sized Copenhagen Psychosocial Questionnaire; ICN, International Council of Nurses; ILO, International Labor Organization; LV, lateral violence; NAQ-R, Revised Negative Acts Questionnaire; PSI, Proliferation Security Initiative; SS, sabotage savvy; WHO, World Health Organization; WVQ, a Chinese-language version of the Workplace Violence Questionnaire.