National Survey on the Impact of COVID-19 on the Mental Health of Australian Residential Aged Care Residents and Staff.

OBJECTIVES: This study is the first to obtain data on the prevalence of, contributors to, and supports required for, pandemic-related distress within the residential aged care sector in Australia. A nested mixed-methods approach was used to examine aged care leaders' opinions about the impact of COVID-19 on the mental health of aged care residents and staff. METHODS: A total of 288 senior staff of Australian residential aged care facilities (care managers, clinical care coordinators, and lifestyle team leaders; mean age = 52.7 years, SD = 10.3) completed an online survey between 10th September and 31st October 2020. RESULTS: On average, nearly half of their residents experienced loneliness (41%) and a third experienced anxiety in response to COVID-19 (33%). The most frequently noted contributors to poor mental health among residents were restrictions to recreational outings and watching news coverage relating to COVID-19. Participants emphasized the need for increased access to counseling services and improved mental health training amongst staff. Residential care staff were similarly impacted by the pandemic. More than a third of staff were reported as anxious (36%) and 20% depressed, in response to COVID-19. Staff were worried about introducing COVID-19 into their facility and were impacted by news coverage of COVID-19. Staff would feel supported by financial assistance and by increased staff-resident ratios. CONCLUSIONS: Senior staff perceive that the mental health of Australian aged care residents and staff was negatively impacted by the COVID-19 pandemic. The most noted contributors were identified, as was the mental health support for aged care communities. CLINICAL IMPLICATIONS: This study provides government and policymakers with clear intervention targets for supporting the sector. Clinicians can support residential aged care communities by providing on-site or telehealth counseling, and upskill and train residential aged care staff on how to respond to the emotional needs of residents in response to COVID-19.

A psychometric investigation of the sleep, circadian rhythms, and mood (SCRAM) questionnaire.

The sleep, circadian rhythms, and mood (SCRAM) questionnaire (Byrne, Bullock et al., 2017) was designed to concurrently measure individual differences in three clinically important functions: diurnal preference, sleep quality, and mood. The 15-item questionnaire consists of three 5-item scales named Morningness, Good Sleep, and Depressed Mood. The overarching aim of the current project was to investigate the validity and reliability of the questionnaire. Here, we report on associations investigated in three data sets. Study 1 (N = 70, 80% females) was used to examine the test-retest reliability of the questionnaire, finding strong test-retest reliability of the three scales over a 2-week period (r's ranging from 0.73 to 0.86). Study 2 (N = 183, 80% females) enabled us to examine the construct validity of the SCRAM scales against well-validated self-report measures of diurnal preference, sleep quality, and depression. Strong correlations were found between each SCRAM scale and their respective measure in bivariate analyses, and associations were robust after the inclusion of the remaining two SCRAM scales as predictors in regression analyses. Data from Study 3 (N = 42, 100% males) were used to measure the extent to which SCRAM scores correlated with objective measures of sleep-wake behavior using actigraphy. Morningness was found to be related to earlier sleep onset and offset times, and Good Sleep was related to higher sleep efficiency but to no other measures of sleep quality; Depressed Mood was not related to actigraphy measures. The findings provide provisional support for construct validity and reliability of the SCRAM questionnaire as a measure of diurnal preference, sleep quality, and depressed mood. Future research into the psychometrics of SCRAM should test the questionnaire's discriminant and predictive validity in clinical samples.