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: In this research work, the systematic review, meta-analysis and meta-regression approaches are used to approximate the prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients. The keywords of prevalence, anxiety, stress, depression, psychopathy, mental illness, mental disorder, doctor, physician, nurse, hospital staff, 2019-nCoV, COVID-19, SARS-CoV-2 and Coronaviruses were used for searching the SID, MagIran, IranMedex, IranDoc, ScienceDirect, Embase, Scopus, PubMed, Web of Science (ISI) and Google Scholar databases. The search process was conducted in December 2019 to June 2020. In order to amalgamate and analyze the reported results within the collected studies, the random effects model is used. The heterogeneity of the studies is assessed using the I2 index. Lastly, the data analysis is performed within the Comprehensive Meta-Analysis software.
RESULTS: Of the 29 studies with a total sample size of 22,380, 21 papers have reported the prevalence of depression, 23 have reported the prevalence of anxiety, and 9 studies have reported the prevalence of stress. The prevalence of depression is 24.3% (18% CI 18.2-31.6%), the prevalence of anxiety is 25.8% (95% CI 20.5-31.9%), and the prevalence of stress is 45% (95% CI 24.3-67.5%) among the hospitals' Hospital staff caring for the COVID-19 patients. According to the results of meta-regression analysis, with increasing the sample size, the prevalence of depression and anxiety decreased, and this was statistically significant (P