Pol Castellano-Escuder, Raúl González-Domínguez, Francesc Carmona-Pontaque, Cristina Andrés-Lacueva, Alex Sánchez-Pla
POMAShiny: A user-friendly web-based workflow for metabolomics and proteomics data analysis
PLoS computational biology
determine prevalence predictors perpetrators violence impact mental health female healthcare workers crosssectional study conducted june october 2022 three tertiary care hospitals approval ethics review board rawalpindi medical university rawalpindi pakistan comprised female healthcare workers including doctors nurses paramedical staff data collected regarding workplace violence using structured questionnaire adopted literature incidence verbal physical sexual violence preceding 12 months noted predictors analysed data analysed using spss 25 140 subjects age range 1660 years verbal violence experienced 102729 physical violence 26186 verbal physical forms sexual violence reported 33236 1393 respectively medicine department significantly lower odds experiencing verbal violence compared surgery department adjusted odds ratio0223 95 confidence interval 00780036 p0005 emergency department significantly greater odds experiencing physical violence compared surgery adjusted odds ratio8716 95 confidence interval 16934487 p001 violence significant detrimental impact mental health female healthcare workers p005 violence found prevalent healthcare sector specifically stressful criticalcare departments like emergency surgery