title: Violence against primary health care workers in Al-Hassa, Saudi Arabia.
abstract: This self-report questionnaire study was carried out in Al-Hassa, Saudi Arabia to highlight the magnitude, predictors, and circumstances of workplace violence against primary health care (PHC) workers. A total of 1,091 workers completed a self-administered questionnaire. About 28% were exposed to at least one violent event during the past year. Logistic regression analysis revealed that the most important predictors of violence are high education of workers (OR = 9.3), working in emergency clinics (OR = 6.8), and in Hegar (OR = 3.2). Emotional and physical violence accounted for 92.1% and 7.9% of violent events, respectively. Unmet needs of patients, overcrowding, and reaction to injury or illness were the leading contributing factors for violence. There is a need for violence prevention and control program in health care facilities.
authors.affiliation: Mansoura University, Mansoura 35516, Egypt. ahgilany@gmail.com
authors.forename: Abdel-Hady
authors.initials: AH
authors.lastname: El-Gilany
authors.forename: Adel
authors.initials: A
authors.lastname: El-Wehady
authors.forename: Mostafa
authors.initials: M
authors.lastname: Amr
mesh_terms: D000328:Adult; D000374:Aggression; D001291:Attitude of Health Personnel; D005260:Female; D006282:Health Personnel / Q000706:statistics & numerical data*; D006801:Humans; D007588:Job Satisfaction; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009784:Occupational Diseases / Q000453:epidemiology* / Q000517:prevention & control; D016273:Occupational Exposure / Q000517:prevention & control / Q000706:statistics & numerical data*; D016272:Occupational Health / Q000706:statistics & numerical data*; D015995:Prevalence; D011320:Primary Health Care / Q000458:organization & administration*; D017751:Safety Management / Q000458:organization & administration; D012529:Saudi Arabia / Q000453:epidemiology; D011795:Surveys and Questionnaires; D017132:Workplace / Q000706:statistics & numerical data