Healthcare workers' self-regulatory eating behaviours are associated with being stress-free during the Covid-19 lockdown in Singapore.

Our study sought to examine the impact of the pandemic and the Circuit-breaker (CB) measures on dietary behaviours of healthcare workers (HCW). In addition, the association between self-regulatory eating behaviours and psychological stress was explored. Our study employed a cross-sectional anonymous survey that examined the demographics, dietary habits, self-regulatory eating behaviours (SR) and their association to stress levels of healthcare workers (HCWs) before and during the Circuit Breaker (CB) in Singapore. The survey was conducted over four weeks from May 17 to June 18, 2020. Snowball sampling was performed in the final week. A total of 707 participants took part in the survey. Due to the CB measures and modifications of work scope and work areas, there were significant changes in their dietary behaviors before CB versus during the CB period (n = 707), with many reducing the intake of vegetables (p = 0.018) while increasing their intake of unhealthy food choices such as canned drinks (p = 0.002), convenience food (p ≤ 0.001) and alcoholic drinks (p = 0.034). Before the CB period, 91.8% (602/656) of participants who intended to have a healthy diet were classified in medium-to-high SR groups whereas during the CB period, 87.7% (575/656) were in medium-to-high SR groups and the difference was statistically significant (p = 0.011). Nurses, administrative staff, HCWs of Chinese and Indian ethnicities, staff who did not complete university education and those who did not have domestic helpers were more likely to have reduced SR. Importantly, amongst participants who intended to have a healthy diet, 70.9% displayed no change or improved eating habits and showed medium-to-high levels of SR during CB. Participants with no changes in SR were 2.11 times more likely to be stress-free as compared to those who had deteriorated SR (OR 2.11 95% CI 1.27-3.48, p = 0.004). Due to CB measures and work modifications, dietary behaviours of HCWs deteriorated with increased intake of unhealthy food choices. HCWs who maintain their self-regulatory eating behaviour are more likely to be stress-free. Short screening questionnaires based on SR changes should be developed and explored as surveillance tools for assessment of HCWs' general well-being such that personalized interventions to vulnerable groups of workers could be implemented effectively on the ground.

Evaluation of multi-component interventions for prevention of nosocomial pneumonia in older adults: a randomized, controlled trial.

AIMS: To evaluate the efficacy of multi-component interventions for prevention of hospital-acquired pneumonia in older patients hospitalized in geriatric wards. METHODS: A randomized, parallel-group, controlled trial was undertaken in patients aged 65 and above who were admitted to a tertiary hospital geriatric unit from January 1, 2016 to June 30, 2018 for an acute non-respiratory illness. Participants were randomized by to receive either a multi-component intervention (consisting of reverse Trendelenburg position, dysphagia screening, oral care and vaccinations), or usual care. The outcome measures were the proportion of patients who developed hospital-acquired pneumonia during hospitalisation, and mean time from randomization to the next hospitalisation due to respiratory infections in 1 year. RESULTS: A total of 123 participants (median age, 85; 43.1% male) were randomized, (n = 59) to intervention group and (n = 64) to control group. The multi-component interventions did not significantly reduce the incidence of hospital-acquired pneumonia but did increase the mean time to next hospitalisation due to respiratory infection (11.5 months vs. 9.5 months; P = 0.049), and reduced the risk of hospitalisation in 1 year (18.6% vs. 34.4%; P = 0.049). Implementation of multi-component interventions increased diagnoses of oropharyngeal dysphagia (35.6% vs. 20.3%; P < 0.001) and improved the influenza (54.5% vs 17.2%; P < 0.001) and pneumococcal vaccination rates (52.5% vs. 20.3%; P < 0.001). CONCLUSIONS: The nosocomial pneumonia multi-component intervention did not significantly reduce the incidence of hospital-acquired pneumonia during hospitalisation but reduce subsequent hospitalisations for respiratory infections. CLINICAL TRIAL REGISTRATION: ClinicalTrial.gov, NCT04347395.

The accuracy of healthcare worker versus self collected (2-in-1) Oropharyngeal and Bilateral Mid-Turbinate (OPMT) swabs and saliva samples for SARS-CoV-2.

BACKGROUND: Self-sampling for SARS-CoV-2 would significantly raise testing capacity and reduce healthcare worker (HCW) exposure to infectious droplets personal, and protective equipment (PPE) use. METHODS: We conducted a diagnostic accuracy study where subjects with a confirmed diagnosis of COVID-19 (n = 401) and healthy volunteers (n = 100) were asked to self-swab from their oropharynx and mid-turbinate (OPMT), and self-collect saliva. The results of these samples were compared to an OPMT performed by a HCW in the same patient at the same session. RESULTS: In subjects confirmed to have COVID-19, the sensitivities of the HCW-swab, self-swab, saliva, and combined self-swab plus saliva samples were 82.8%, 75.1%, 74.3% and 86.5% respectively. All samples obtained from healthy volunteers were tested negative. Compared to HCW-swab, the sensitivities of a self-swab sample and saliva sample were inferior by 8.7% (95%CI: 2.4% to 15.0%, p = 0.006) and 9.5% (95%CI: 3.1% to 15.8%, p = 0.003) respectively. The combined detection rate of self-swab and saliva had a sensitivity of 2.7% (95%CI: -2.6% to 8.0%, p = 0.321). The sensitivity of both the self-collection methods are higher when the Ct value of the HCW swab is less than 30. The specificity of both the self-swab and saliva testing was 100% (95% CI 96.4% to 100%). CONCLUSION: Our study provides evidence that sensitivities of self-collected OPMT swab and saliva samples were inferior to a HCW swab, but they could still be useful testing tools in the appropriate clinical settings.