All analyses were conducted using IBM SPSS Statistics Version 22.0 [15].

PCPs were dichotomised into private (i.e. general practitioners, family medicine clinics, locums) and public (i.e. polyclinics, restructured hospitals) practice. Demographic data was summarised using frequencies and proportions. Responses for each item from the three sections were dichotomised into “agree” (i.e. agree, strongly agree) and “disagree” (i.e. disagree, strongly disagree), and Cronbach’s alpha was used to evaluate internal consistency for the items in each section. Chi-square and Fisher’s exact tests were used to compare proportions.

Logistic regression was used to present crude odds ratios (OR) between private and public practice PCPs for the items in each section, as well as adjusted odds ratios (aOR) controlling for gender and ethnicity. As collinearity was observed between age and years of medical experience (Spearman correlation coefficient, ρ = 0.91), age was also utilised as a covariate for regression analyses involving non-work-related concerns and perceived impact, whereas years of medical experience was used for work-related concerns and perceived pandemic preparedness.

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