OBJECTIVE: The objectives of this paper are to gain a better understanding of the key presenting symptoms of COVID-19 in HCWs in a district specialist hospital, to establish the proportion of symptomatic COVID-19 cases among HCWs and its severity and to determine the time taken from onset of symptoms or perceived exposure to diagnostic testing.
METHODOLOGY: This is a retrospective descriptive analysis of clinical characteristics of subjects infected with COVID-19 among HCW in HTI. Their demography and clinical characteristics were recorded.
RESULTS: There were 47 HCW in HTI who tested positive for COVID-19. The mean age of the patients was 37.5 years old. 7 patients (15.2%) had at least more than one comorbidity. Average duration of time from perceived close contact to onset of symptom was 4.5 days, while the mean duration of time from symptoms to first positive RT-PCR result was 3.4 days. Six patients (13.0%) were asymptomatic throughout, whereas 40 (87.0%) had at least one symptom prior to hospitalization. The most commonly reported symptoms were fever (65.2%), sore throat (39.1%) and cough (37.0%). In terms of severity of symptoms, the majority of patients experienced mild symptoms (Group 2, 52.2%). Two patients (4.3%) with multiple comorbidities had severe disease requiring ICU admission and mechanical ventilation. There were no mortalities, and the longest staying patient was hospitalized for 18 days. The high rates of infectivity among HCW in HTI can be attributed to working in close proximity while in the asymptomatic incubation phase, while no HCW directly involved in the care of COVID-19 positive patients were tested positive.
CONCLUSION: We report that HCW share similar clinical characteristics of COVID-19 infection as those of non HCW patients in earlier studies. The infection can spread rapidly within healthcare settings via close contacts among infected HCWs. As such, we advocate distancing when working and usage of personal protective equipment when treating patients with respiratory illness to reduce transmission of COVID-19.
DESIGN/METHODOLOGY/APPROACH: This study applied stratified random sampling to collect data from 15 different hospitals in Peninsular Malaysia. The self-administered survey questionnaires were distributed among 673 hospital staff (i.e. doctors, nurses, pharmacists, and medical laboratory technologists) to obtain 335 useful responses with a 49.47 per cent valid response rate. The research data were analysed based on confirmatory factor analysis and structural equation modelling by using AMOS version 23 software.
FINDINGS: The research findings indicated that LSS and workforce management have a significant impact on quality performance of the Malaysian hospitals, whereas senior management commitment was found to have an insignificant relationship with quality performance. The research findings indicate that senior management commitment has no direct significant relationship with quality performance, but it has an indirect significant relationship with quality performance through the mediating effects of LSS and workforce management.
RESEARCH LIMITATIONS/IMPLICATIONS: This research focussed solely on healthcare organisations in Malaysia and thus the results might not be applicable for other countries as well as other service organisations.
ORIGINALITY/VALUE: This research provides theoretical, methodological, and practical contributions for the LSS approach and the research findings are expected to provide guidelines to enhance the level of quality performance in healthcare organisations in Malaysia as well as other countries.
Methods: This cross-sectional study was conducted from October to December 2019 among 178 hospital workers at the Hospital Canselor Tuanku Muhriz in Kuala Lumpur, Malaysia. The study utilized a self-administered questionnaire that consisted of items on sociodemographics, work characteristics, sources of bullying, and the validated Malay version of the 23-item Negative Acts Questionnaire - revised to determine the prevalence of bullying. Descriptive and inferential statistics were analyzed using SPSS 22.0. Statistical significance was set at P<0.05.
Results: The prevalence of workplace bullying in this sample was 11.2%. Superiors or supervisors from other departments and colleagues were the main perpetrators. In the multivariate model, working for 10 years or less (aOR 4, 95% CI 1.3-12.3; P=0.014) and not being involved in patient care (aOR 5, 95% CI 2.5-10; P<0.001) were statistically significant attributes associated with workplace bullying.
Conclusion: Workplace bullying in the current study was strongly associated with occupational characteristics, particularly length of service and service orientation of the workers. Hospital directors and managers could undertake preventive measures to identify groups vulnerable to bullying and subsequently craft appropriate coping strategies and mentoring programs to curb bullying.