Fear of Covid-19 and Burnout Among Healthcare Providers in Malaysia: Is Resilience a Missing Link?

@#Introduction: During the COVID-19 pandemic, healthcare providers have been in great fear due to the high risk of contracting COVID-19 infection at any time. This study aimed to determine the mediating role of resilience on the relationship between fear of COVID-19 and burnout in primary care healthcare providers in Malaysia. Methods: This was an online cross-sectional study involving 1280 healthcare providers aged 18 years and older from 30 government primary care clinics in Malaysia. We used the COVID-19 Fear Scale, the Copenhagen Burnout Inventory Scale, and the Short Brief Resilience Scale to collect data from the respondents. Smart-PLS was used to perform mediation analysis. Results: The mean age of the respondents was 36 years old and mean duration of working experience was 11 years. The majority of the respondents were female (82.4%) and Malays (82.3%). The study population consisted of nurses (47.4%), doctors (26%), medical assistants (11.9), healthcare assistant (7.1%), medical laboratory technicians (6.4%) and drivers(1.3).The results show that fear of COVID-19 positively predicts burnout. According to the results, resilience mediates the relationship between fear of COVID-19 and all the three burnout domains, namely personal burnout (β=0.175,p<0.001), work-related burnout (β=0.175,p<0.001) and client-related burnout (β=0.172,p<0.001). Additionally, resilience reduces the impact of COVID-19 fear on the three domains of burnout. Conclusion: Our study has reported a mediating effect of resilience on the relationship between fear of COVID-19 and burnout.

Predictors of poor glycaemic control in older patients with type 2 diabetes mellitus

<p><b>INTRODUCTION</b>We assessed the predictors of poor glycaemic control among older patients with type 2 diabetes mellitus (T2DM) in Malaysia.</p><p><b>METHODS</b>This cross-sectional study used the data of 21,336 patients aged ≥ 60 years with T2DM from the Adult Diabetes Control and Management Registry 2008-2009.</p><p><b>RESULTS</b>Predictors of poor glycaemic control were: age groups 60-69 years (odds ratio [OR] 1.96, 95% confidence interval [CI] 1.66-2.33) and 70-79 years (OR 1.43, 95% CI 1.20-1.71); Malay (OR 1.53, 95% CI 1.41-1.66) and Indian (OR 1.32, 95% CI 1.19-1.46) ethnicities; T2DM durations of 5-10 years (OR 1.46, 95% CI 1.35-1.58) and > 10 years (OR 1.75, 95% CI 1.59-1.91); the use of oral antidiabetic agents only (OR 5.86, 95% CI 3.32-10.34), insulin only (OR 17.93, 95% CI 9.91-32.43), and oral antidiabetic agents and insulin (OR 29.42, 95% CI 16.47-52.53); and elevated blood pressure (OR 1.10, 95% CI 1.01-1.20), low-density lipoprotein cholesterol (OR 1.48, 95% CI 1.38-1.59) and triglycerides (OR 1.61, 95% CI 1.51-1.73). Hypertension (OR 0.71, 95% CI 0.64-0.80), hypertension and dyslipidaemia (OR 0.68, 95% CI 0.61-0.75), pre-obesity (OR 0.89, 95% CI 0.82-0.98) and obesity (OR 0.76, 95% CI 0.70-0.84) were less likely to be associated with poor glycaemic control.</p><p><b>CONCLUSION</b>Young-old and middle-old age groups (i.e. < 80 years), Malay and Indian ethnicities, longer T2DM duration, the use of pharmacological agents, and elevated blood pressure and lipid levels were associated with poor glycaemic control. The presence of comorbidities, pre-obesity and obesity were less likely to be associated with poor glycaemic control.</p>