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.

OBJECTIVE: To determine the validity and reliability of the PPCI for physicians in Malaysia.

SETTING: An urban tertiary hospital in Malaysia.

METHODS: This prospective study was conducted from June to August 2014. Doctors were grouped as either a "collaborator" or a "non-collaborator". Collaborators were doctors who regularly worked with one particular clinical pharmacist in their ward, while non-collaborators were doctors who interacted with any random pharmacist who answered the general pharmacy telephone line whenever they required assistance on medication-related enquiries, as they did not have a clinical pharmacist in their ward. Collaborators were firstly identified by the clinical pharmacist he/she worked with, then invited to participate in this study through email, as it was difficult to locate and approach them personally. Non-collaborators were sampled conveniently by approaching them in person as these doctors could be easily sampled from any wards without a clinical pharmacist. The PPCI for physicians was administered at baseline and 2 weeks later.

MAIN OUTCOME MEASURE: Validity (face validity, factor analysis and discriminative validity) and reliability (internal consistency and test-retest) of the PPCI for physicians.

RESULTS: A total of 116 doctors (18 collaborators and 98 non-collaborators) were recruited. Confirmatory factor analysis confirmed that the PPCI for physicians was a 3-factor model. The correlation of the mean domain scores ranged from 0.711 to 0.787. "Collaborators" had significantly higher scores compared to "non-collaborators" (81.4 ± 10.1 vs. 69.3 ± 12.1, p < 0.001). The Cronbach alpha for the overall PPCI for physicians was 0.949, while the Cronbach alpha values for the individual domains ranged from 0.877 to 0.926. Kappa values at test-retest ranged from 0.553 to 0.752.

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.