Profiles of socially isolated community-dwelling older adults during the COVID-19 pandemic: A latent class analysis

Objective To identify different profiles of socially isolated older adults during the first wave of COVID-19 in Quebec, Canada. Study design Cross-sectional data were obtained through a telehealth socio-geriatric risk assessment tool, ESOGER, administered to adults aged 70 years or more between April and July 2020 in Montreal, Canada. Measures Those living alone with no social contacts in the last few days were considered socially isolated. Latent class analysis was performed to identify profiles of socially isolated older adults based on: age, sex, polypharmacy, use of home care, use of a walking aid, recall of current year/month, anxiety level (scale 0–10), and need for follow-up from a healthcare provider. Results Three-hundred and eighty (380) older adults identified as socially isolated were analyzed, of whom 75.5 % were female and 56.6 % were over 85. Three classes were identified: Class 1 ("physically frail older females”) had the highest proportion of polypharmacy, walking aid, and home care use. Class 2 ("anxious, relatively younger males”) were predominantly males who used the least home care but had the highest anxiety levels. Class 3 ("seemingly well older females”) had the highest proportion of females, lowest proportion of polypharmacy, lowest anxiety level, and none used a walking aid. Recall of current year/month was similar across the three classes. Conclusions This study found heterogeneity among socially isolated older adults during the first wave of the COVID-19 pandemic with varying levels of physical and mental health. Our findings may contribute to the development of targeted interventions to support this vulnerable population during and after the pandemic.

Profiles of socially isolated community-dwelling older adults during the COVID-19 pandemic: A latent class analysis.

OBJECTIVE: To identify different profiles of socially isolated older adults during the first wave of COVID-19 in Quebec, Canada. STUDY DESIGN: Cross-sectional data were obtained through a telehealth socio-geriatric risk assessment tool, ESOGER, administered to adults aged 70 years or more between April and July 2020 in Montreal, Canada. MEASURES: Those living alone with no social contacts in the last few days were considered socially isolated. Latent class analysis was performed to identify profiles of socially isolated older adults based on: age, sex, polypharmacy, use of home care, use of a walking aid, recall of current year/month, anxiety level (scale 0-10), and need for follow-up from a healthcare provider. RESULTS: Three-hundred and eighty (380) older adults identified as socially isolated were analyzed, of whom 75.5 % were female and 56.6 % were over 85. Three classes were identified: Class 1 ("physically frail older females") had the highest proportion of polypharmacy, walking aid, and home care use. Class 2 ("anxious, relatively younger males") were predominantly males who used the least home care but had the highest anxiety levels. Class 3 ("seemingly well older females") had the highest proportion of females, lowest proportion of polypharmacy, lowest anxiety level, and none used a walking aid. Recall of current year/month was similar across the three classes. CONCLUSIONS: This study found heterogeneity among socially isolated older adults during the first wave of the COVID-19 pandemic with varying levels of physical and mental health. Our findings may contribute to the development of targeted interventions to support this vulnerable population during and after the pandemic.

Identifying performance factors of long-term care facilities in the context of the COVID-19 pandemic: a scoping review protocol.

BACKGROUND: Long-term care facilities (LTCFs) have been severely affected by the COVID-19 pandemic with serious consequences for the residents. Some LTCFs performed better than others, experiencing lower case and death rates due to COVID-19. A comprehensive understanding of the factors that have affected the transmission of COVID-19 in LTCFs is lacking, as no published studies have applied a multidimensional conceptual framework to evaluate the performance of LTCFs during the pandemic. Much research has focused on infection prevention and control strategies or specific disease outcomes (e.g., death rates). To address these gaps, our scoping review will identify and analyze the performance factors that have influenced the management of COVID-19 in LTCFs by adopting a multidimensional conceptual framework. METHODS: We will query the CINAHL, MEDLINE (Ovid), CAIRN, Science Direct, and Web of Science databases for peer-reviewed articles written in English or French and published between January 1, 2020 and December 31, 2021. We will include articles that focus on the specified context (COVID-19), population (LTCFs), interest (facilitators and barriers to performance of LTCFs), and outcomes (dimensions of performance according to a modified version of the Ministère de la santé et des services sociaux du Québec conceptual framework). Each article will be screened by at least two co-authors independently followed by data extraction of the included articles by one co-author and a review by the principal investigator. RESULTS: We will present the results both narratively and with visual aids (e.g., flowcharts, tables, conceptual maps). DISCUSSION: Our scoping review will provide a comprehensive understanding of the factors that have affected the performance of LTCFs during the COVID-19 pandemic. This knowledge can help inform the development of more effective infection prevention and control measures for future pandemics and outbreaks. The results of our review may lead to improvements in the care and safety of LTCF residents and staff. SCOPING REVIEW REGISTRATION: Research Registry researchregistry7026.