healthcare workers

Introduction: Workplace violence (WPV) against healthcare workers is a major occupational and public health concern globally, with significant consequences on the safety, psychological well-being, job satisfaction, and productivity of healthcare personnel. Objective: This study assessed the prevalence, causes, and effects of workplace violence against healthcare workers in the University of Benin Health Services department, Benin City, Edo State. Methodology: A descriptive cross-sectional study design was adopted among healthcare workers in the University of Benin Health Services Department. A total population survey method was used, and data are collected using a structured questionnaire adapted from the International Labour Organization (ILO), International Council of Nurses (ICN), World Health Organization (WHO), and Public Services International (PSI) workplace violence research instrument, administered through both self-administered and interviewer-administered approaches. One hundred and sixty-five completed questionnaires are analyzed using IBM SPSS version 27.0, with descriptive and inferential statistics performed at a 95% confidence interval and a significance level of p < 0.05. Results: The lifetime prevalence of workplace violence among respondents was 35.2%, while 21.2% and 33.3% report experiencing physical violence and verbal abuse respectively within the six months preceding the study. Patients or clients constitute the major perpetrators of both physical violence (72.7%) and verbal abuse (72.7%). Professional category shows a statistically significant association with workplace violence (p = 0.003), with clinical staff experiencing a higher prevalence than non-clinical staff. The major perceived causes of workplace violence are the non-availability of doctors or nurses on call duty (72.7%) and the aggressive personality of perpetrators (70.9%). Post-traumatic stress disorder (63.1%) and loss of job satisfaction (53.3%) are the most commonly reported effects of workplace violence among respondents. Conclusion: Workplace violence occurs among healthcare workers in the University of Benin Health Services Department, with verbal abuse being more commonly reported than physical violence. Non-availability of healthcare workers on call duty and aggressive behaviour of perpetrators emerge as the major perceived causes, while post-traumatic stress disorder and loss of job satisfaction constitute the major effects. Strengthened institutional policies, improved staffing, and supportive interventions are needed to reduce workplace violence and improve healthcare worker safety.

Background: Electronic Health Record (EHR) systems are increasingly recognized as essential components of modern healthcare delivery, with the potential to improve patient outcomes, enhance data management, reduce medical errors, and strengthen health system efficiency. Despite these benefits, the adoption and effective utilization of EHR systems in many low- and middle-income countries, including Nigeria, remain low and with influence ranging from multiple individual, institutional, and infrastructural factors. Objective: This study aimed to determine healthcare workers’ knowledge of EHR systems in patient care, assess their attitudes toward EHR utilization, determine uptake and the level of EHR utilization, and identify factors influencing their use across selected hospitals in Benin City, Edo State. Methods: A analytical cross-sectional study design was conducted among 478 healthcare workers selected from public and private hospitals using a multistage sampling technique. Data were collected using a structured, pre-tested, self-administered questionnaire comprising sections on socio- demographic characteristics, knowledge, attitude, utilization, and factors influencing EHR use. Knowledge and utilization scores were categorized based on a 70% cut-off, while attitude was assessed using a 5-point Likert scale which was grouped into appropriate and inappropriate responses and scored using a cut-off of 70%. Data were analyzed using SPSS version 27. Descriptive statistics were summarized as frequencies and percentages, while inferential analysis was conducted using chi-square tests and fisher’s exact and multivariate logistic regression to identify predictors of HER in line with study objectives. Statistical significance was set at p < 0.050, and 95% confidence interval. Results: The majority of respondents were aged 20–39 years (86.8%), with a mean age of 31.22 ± 8.32 years, and females constituted 63.4% of the study population. Nurses formed the largest professional group, and most respondents had less than five years of professional experience. Awareness of EHR systems was high (93.3%), and an equal proportion demonstrated good knowledge (93.3%). Respondents showed strong knowledge in areas such as data privacy, reduction of medical errors, and improvement of healthcare delivery. A majority of respondents (78.2%) had a positive attitude toward EHR utilization, with most agreeing that EHR systems improve patient management (98.1%) and enhance the speed of care delivery (93.3%). However, a considerable proportion expressed neutrality regarding preference for EHR over paper-based records, indicating a transitional phase in adoption. EHR systems were available in most facilities (84.7%), and utilization was high across multiple domains, including clinical documentation (94.1%), patient registration (93.3%), prescribing (92.1%), and laboratory result access (90.6%). Utilization patterns varied significantly by profession and facility type at the bivariate level. Multivariate logistic regression analysis identified knowledge level, sex, and facility type as independent predictors of EHR utilization. Respondents with poor knowledge were significantly less likely to utilize EHR systems compared to those with good knowledge (OR = 0.22; 95% CI: 0.06–0.86; p = 0.029). Male respondents had lower odds of utilization compared to females (OR = 0.32; 95% CI: 0.11–0.89; p = 0.029), while those working in private facilities were less likely to utilize EHR systems compared to those in public facilities (OR = 0.15; 95% CI: 0.03–0.74; p = 0.019). Factors such as training (OR = 5.83; 95% CI: 2.46–13.81; p = <0.001), stability of electricity supply (OR = 7.25; 95% CI: 1.88–27.94; p = 0.004), and availability of hospital policy (OR = 1.99; 95% CI: 1.15–3.47; p = 0.014) were significant predictors of utilization at the multivariate level. Conclusion: This study demonstrates that healthcare workers in Benin City possess relatively high levels of knowledge, positive attitudes, and increasing level of utilization of EHR systems, indicating a strong foundation for digital health integration. However, persistent gaps in training, infrastructure, and organizational support limit optimal utilization. Addressing these challenges through targeted capacity building, improved infrastructural investment, and strengthened institutional policies will be critical for maximizing the benefits of EHR systems and improving healthcare delivery outcomes.