Adult Protective Services Perspectives on Responding to Elder Abuse and Serving Clients During the COVID-19 Pandemic.

The initial COVID-19 pandemic and subsequent public health measures dramatically impacted Adult Protective Services (APS), requiring rapid adjustments. Our goal was to describe challenges for APS and strategies developed to respond. We conducted six focus groups and seven interviews during March-April 2021 using a semi-structured topic guide, with 31 participants from APS leadership, supervisors, and caseworkers in New York City, a community hard hit by the initial COVID surge. Data from transcripts were analyzed to identify themes. Participants identified challenges faced by APS (e.g., clients less willing to engage with APS, inability to perform necessary job tasks remotely, and low staffing levels) as well as strategies APS used in response (e.g., increasing collaboration with other community-based programs and service providers, enabling remote court hearings through technology and in-person facilitation, and ensuring staff had access to personal protective equipment). These findings may inform APS planning for future large-scale societal disruptions.

Impact of Media-Based Negative and Positive Age Stereotypes on Older Individuals' Mental Health.

OBJECTIVES: During the COVID-19 pandemic, stigmatization of older persons increased in traditional and social media. It was unknown whether this negative messaging could be detrimental to the mental health of older individuals, and whether the relatively uncommon positive messaging about older individuals could benefit their mental health. METHOD: To address these gaps, we designed age-stereotype interventions based on actual news stories that appeared during the pandemic, and divided them into negative and positive versions of what we term personified (i.e., individual-based) and enumerative (i.e., number-based) age-stereotype messaging. The negative versions of the 2 types of messaging reflected the age stereotype of decline, whereas the positive versions of the 2 types of messaging reflected the age stereotype of resilience. RESULTS: As expected, the exposure of older individuals to the negative-age-stereotype-messaging interventions led to significantly worse mental health (i.e., more anxiety and less peacefulness), compared to a neutral condition; in contrast, the positive-age-stereotype-messaging interventions led to significantly better mental health (i.e., less anxiety and more peacefulness), compared to a neutral condition. The findings were equally strong for the personified and enumerative conditions. Also as expected, the interventions, which were self-irrelevant to the younger participants, did not significantly impact their mental health. DISCUSSION: This is the first-known study to experimentally demonstrate that institutional ageism, and statistics that reflect stereotypes about older individuals, can impact mental health. The results demonstrate the need for media messaging aimed at empowering older individuals during the pandemic and beyond.

Impact of Media-Based Age Stereotypes on Older Individuals’ Mental Health During the COVID-19 Pandemic

During the COVID-19 pandemic, stigmatization of older persons has increased in traditional and social media. It was unknown whether this negative messaging could be detrimental to the mental health of older individuals, and whether the relatively uncommon positive messaging about older individuals could benefit their mental health. To address these gaps, we designed age-stereotype interventions based on actual news stories that appeared during the pandemic. As expected, the exposure of older individuals to the negative-age-stereotype-messaging interventions led to significantly worse mental health (more anxiety and less peacefulness), compared to a neutral condition;in contrast, the positive-age-stereotype-messaging interventions led to significantly better mental health (less anxiety and more peacefulness), compared to a neutral condition. The results demonstrate the need for media messaging aimed at empowering older individuals during the pandemic and beyond.

High Prevalence of Elder Abuse During the COVID-19 Pandemic: Risk and Resilience Factors.

OBJECTIVE: Before the COVID-19 pandemic, elder abuse affected one in 10 American older adults annually. It has been assumed that the pandemic has brought with it a surge in elder abuse due to individuals ordered to stay at home combined with increased interpersonal stressors. However, empirical evidence is lacking. This study aims to estimate the prevalence of, and risk and resilience factors of elder abuse during the pandemic. METHODS: The survey was conducted via two online platforms during April 23 and May 5, 2020, when all states had stay-at-home orders. The final cohort consisted of a sociodemographically diverse sample of 897 older persons in the United States. The prevalence of elder abuse was evaluated by a validated measure previously used in a population-based study of elder abuse. Pandemic-related factors were examined at the community, relational, and individual contexts. We conducted multivariate logistic regression analyses to examine determinants of elder abuse. RESULTS: One in five older persons in the study sample (n = 191; 21.3%) reported elder abuse, an increase of 83.6% from prevalence estimates before the pandemic. In the final models, sense of community emerged as a persistent protective factor for elder abuse (odds ratio [OR]: 0.89, 95% confidence interval [CI]: 0.85-0.93). At the relational level, physical distancing was associated with reduced risk of elder abuse (OR: 0.94, 95% CI: 0.90-0.98). At the individual level, financial strain was associated with increased risk of abuse (OR: 1.08, 95% CI: 1.02-1.14). CONCLUSION: Health care professionals and policy makers must be prepared to address the increase in elder abuse associated with the evolving pandemic.

Impact of structural ageism on greater violence against older persons: a cross-national study of 56 countries.

OBJECTIVE: To determine the association between country-level structural ageism and prevalence of violence against older persons. DESIGN: Country-level ecological study. SETTING: Structural ageism data were drawn from the nationally representative World Values Survey 2010-2014 (WVS), global databases from the WHO, United Nations and the World Bank. Violence data were based on the Global Burden of Diseases (GBD) study 2017. PARTICIPANTS: Analysis of 56 countries that represented 63.1% of the world's ageing population aged 60 and over across all six of WHO regions. EXPOSURE: Structural ageism, following established structural stigma measures, consisted of two components: (1) discriminatory national policies related to older persons' economic, social, civil and political rights, based on the four core components of human rights protection in Madrid International Plan of Action on Aging and (2) prejudicial social norms against older persons, measured by negative attitudes toward older persons in 56 national polls in WVS aggregated to country-level. These components were z scored and combined such that higher score indicated greater structural ageism. MAIN OUTCOMES AND MEASURES: Prevalence rates of violence per 100 000 persons aged 70 and over in each country was based on extensive epidemiological surveillance data, survey, clinical data and insurance claims in GBD and compiled by the Institute of Health Metrics and Evaluation, University of Washington. RESULTS: There was a wide variation in levels of structural ageism across countries. As predicted, structural ageism was significantly associated with the prevalence rates of violence in multivariate models (ß=205.7, SE=96.3, p=0.03), after adjusting for relevant covariates. Sensitivity analyses supported the robustness of our findings. That is, structural ageism did not predict other types of violence and other types of prejudice did not predict violence against older persons. CONCLUSIONS: This study provides the first evidence of the association between higher structural ageism and greater violence against older persons across countries.