Author Year Country |
Type of study | Aim | Setting/participants | Sample size | Exclusions/comparison | Outcomes | Qualitative rating (Attree & Milton) | Quantitative rating (KMET) | Bias rating (AHQR) (low, medium, high) |
---|---|---|---|---|---|---|---|---|---|
Shafran-Tikva, S.; 2017 Israel 28 |
Quantitative study | To examine different types of violence experienced by nurses and physicians, types of perpetrator and specialty fields involved | 729 physicians and nurses in a variety of hospital division and departments in a large general hospital | 678 responded 446 nurses and 232 physicians | Age, seniority had positive association with exposure to violence. Need for uniform standardised definitions of violent behaviours. | 86.4% | Low | ||
Yoo, H J 2018 South Korea 29 |
Mixed | To identify intensive care nurse’s experience of violence from patients and families and investigate their coping methods, if any, in a tertiary hospital in South Korea | 200 | Included only female nurses. Males were excluded | Verbal violence more than physical violence.4 themes – perception of violence, coping with violence experience, coping resource & caring mind after experience. Moderate to severe response to violence based on scores. |
B | 77.3% | Medium | |
Lal Gautam, P.; 2019 India 30 |
Questionnaire based cross-sectional, mixed |
To evaluate perceptions of healthcare workers(HCW) and patients’ attendants about factors responsible for widespread violence and patient-physician distrust | Conducted in medical, surgical, neurosurgery ICUs of a tertiary teaching Institute. Anonymous, questionnaire-based cross-sectional study conducted over a period of 1 year from Aug.2017-July 2018. | HCW 295 Attendants 142 |
142 responses from attendees of patients were also sought | Violence from patient’s attendants was common resulting in stressful and fearful environment at the healthcare facility. | B | 68.2% | Medium |
Pol, A.; 2019 Australia 31 |
Retrospective pre and post study | To determine incidence of aggressive and violent behaviours, and determine the healthcare professionals most at risk of being subjected to occupational violence in this setting | A before and after retrospective review of medical records over a 24-month period to evaluate impact of NEAT * on aggressive or violent behaviours, conducted in a 45-bed adult ICU at metropolitan tertiary hospital in Victoria | Before = 18, After = 29 |
Increase in number of code black/grey (emergency codes) post intervention. Male nurses more likely to be involved in incidences of verbal violence |
68.2% | Medium | ||
Sunil Kumar, N.; 2019 India 32 |
Pretested, self-administered, semi-structured questionnaire-based survey | To draw attention towards the issue of violence against critical care physicians, reveal dimensions of such violence and highlight ill effects of WPV on personal life of doctors | Survey conducted among critical care physicians attending a critical care conference |
N = 160, 118 responses |
Improving communication skills for conflict management. ‘Fight against disease and not doctor’ |
40.9% | Medium | ||
Cho, H.; 2020 USA 33 |
Cross-sectional secondary data analysis study | To examine differences in early-career nurses’ verbal abuse experience based on their socio-demographic characteristics, and to investigate associations of verbal abuse experience with nurse-reported care quality and patient safety outcomes | Using state RN licensure lists, RNs were randomly sampled using nested design in 20 metropolitan statistical areas and 1 rural county in 14 states across the country | 799 | 88 RN who had not been employed in nursing job that required RN licence, 208 nurses who worked in settings other than a hospital and 63 nurses who were not employed full time and 21 nurses who were not providing direct care were excluded. | Male nurses experience more verbal abuse. Step-down units and general wards experience more abuse than ICU and other units |
77.27% | Medium |
National emergency access target.