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INTRODUCTION: The goal of this study was to examine variation in patient experiences and perceptions of care coordination across sociodemographic and health factors. METHODS: Data come from the 2016 Health and Retirement Study (N = 1, 216). Three domains of coordination were assessed: 1) Perceptions (e.g., patient impressions of provider-provider communication), 2) Tangible supports (e.g., meeting with a care coordinator, being accompanied to appointments), and 3) Technical supports (e.g., use of a “patient portal”). Logistic regression was used to quantify the frequency of each domain and examine variation by racial minority status, socioeconomic status, and health status. RESULTS: Approximately 42% of older adults perceived poor care coordination, including 14.8% who reported receiving seemingly conflicting advice from different providers. Only one-third had ever met with a formal care coordinator, and 40% were occasionally accompanied to appointments. Although racial minorities were less likely to have access to technical supports, they were more likely to use them. Better perceived coordination was associated with higher care satisfaction (Odds Ratio: 1.43, 95% CI: 1.27–1.61). CONCLUSIONS: Important gaps in care coordination remain for older adults. PRACTICE IMPLICATIONS: Providers should consider assessing patient perceptions of care coordination to address these gaps in an equitable manner.

Background: The US Health Retirement Study (HRS) is an ongoing population-representative cohort of US adults ages >50 with rich data on health during aging. Self-reported cancer diagnoses have been collected since 1998, but they have not been validated. We compared self-reported cancer diagnoses in HRS interviews against diagnostic claims from linked Medicare records. Methods: Using HRS–Medicare linked data, we examined the validity of first incident cancer diagnoses self-reported in biennial interviews from 2000 to 2016 against ICD-9 and ICD-10 diagnostic claim records as the gold standard. Data were from 8,242 HRS participants ages ≥65 with 90% continuous enrollment in fee-for-service Medicare. We calculated the sensitivity, specificity, and κ for first incident invasive cancer diagnoses (all cancers combined, and each of bladder, breast, colorectal/anal, uterine, kidney, lung, and prostate cancers) cumulatively over the follow-up and at each biennial study interview. Results: Overall, self-reports of first incident cancer diagnoses from 2000 to 2016 had 73.2% sensitivity and 96.2% specificity against Medicare claims (κ = 0.73). For specific cancer types, sensitivities ranged from 44.7% (kidney) to 75.0% (breast), and specificities ranged from 99.2% (prostate) and 99.9% (bladder, uterine, and kidney). Results were similar in sensitivity analyses restricted to individuals with 100% continuous fee-for-service Medicare enrollment and when restricted to individuals with at least 24 months of Medicare enrollment. Conclusions: Self-reported cancer diagnoses in the HRS have reasonable validity for use in population-based research that is maximized with linkage to Medicare. Impact: These findings inform the use of the HRS for population-based cancer and aging research.

Objective: Older adults may struggle with stresses and daily life challenges associated with the Coronavirus Disease 2019 (COVID-19) pandemic. Yet they may also utilize emotional and behavioral coping strategies. This qualitative paper aims to identify ways of coping with worries and stress during the pandemic from the perspectives of older adults in the United States.Methods: The COVID-19 Coping Study recruited 6,938 adults aged ≥55 through online multi-frame sampling from April 2-May 31, 2020 across all 50 US states, the District of Columbia, and Puerto Rico. The online questionnaire focused on the effects of COVID-19 on daily life, mental health, and well-being. This included an open-ended question regarding participants' coping strategies. We used qualitative content analysis to identify and code diverse coping strategies. Our general inductive approach enabled findings to emerge from the most frequent and dominant themes in the raw data.Results: A total of 5,180 adults [74% of the total sample; mean age 67.3 (SD 7.9); 63.8% female] responded to the question about using strategies to cope with living through the COVID-19 pandemic. Frequently-reported strategies included exercising and going outdoors, modifying routines, following public health guidelines, adjusting attitudes, and staying socially connected. Some coping strategies were health-limiting (e.g., overeating), while most strategies encouraged self-improvement, positive adjustment, and wellness.Conclusions: This study provides novel qualitative evidence on coping strategies of older adults early in the COVID-19 pandemic. Findings can inform community and clinical interventions to support older adults that harness positive coping strategies such as exercise, modified routines, and social strategies to improve physical and mental health, foster social support, and encourage meaningful daily activities during times of stress and trauma.

Poor mental health associated with the COVID-19 pandemic may prompt the utilization of various coping behaviors, including alcohol use. We aimed to investigate the relationships between mental health symptomatology and self-reported changes in alcohol consumption at the onset of the pandemic. Data were from the nationwide COVID-19 Coping Study of US adults aged ≥55 in April and May 2020 (n = 6548). We used population-weighted multivariable-adjusted multi-nomial logistic regression models to estimate odds ratios (ORs) for the associations between mental health (of depression, anxiety, and loneliness, each) and self-reported increased alcohol consumption (vs. no change in consumption). One in ten adults (717/6548, 11%) reported an increase in their alcohol consumption in the past week compared to their usual pre-COVID-19 drinking. Mental health symptomatology was associated with increased drinking since the pandemic onset (depression: OR = 2.66, 95% CI: 1.99–3.56, anxiety: OR = 1.80, 95% CI: 1.34–2.42, loneliness: OR = 2.45, 95% CI: 1.83–3.28). Participants who screened positive for all three mental health outcomes were substantially more likely to report increased alcohol consumption since the onset of the pandemic (OR = 3.87, 95% CI: 2.52–5.96, vs. no mental health outcomes). This study demonstrates potentially harmful changes in alcohol intake among middle-to-older aged adults experiencing mental health symptomatology during the early months of the COVID-19 pandemic.

PurposeThe COVID-19 pandemic, beginning in early 2020, has resulted in massive social, economic, political and public health upheaval around the world. We established a national longitudinal cohort study, the COVID-19 Coping Study, to investigate the effects of pandemic-related stressors and changes in life circumstances on mental health and well-being among middle-aged and older adults in the USA.ParticipantsFrom 2 April to 31 May 2020, 6938 adults aged ≥55 years were recruited from all 50 US states, the District of Columbia and Puerto Rico using online, multi-frame non-probability-based sampling.Findings to dateMean age of the baseline sample was 67.3 years (SD: 7.9 years) and 64% were women. Two in three adults reported leaving home only for essential purposes in the past week (population-weighted proportion: 69%; 95% CI: 68% to 71%). Nearly one in five workers aged 55–64 years was placed on a leave of absence or furloughed since the start of the pandemic (17%; 95% CI: 14% to 20%), compared with one in three workers aged ≥75 years (31%; 95% CI: 21% to 44%). Nearly one-third of adults screened positive for each of depression (32%; 95% CI: 30% to 34%), anxiety (29%; 28% to 31%) and loneliness (29%; 95% CI: 27% to 31%), with decreasing prevalence of each with increasing age.Future plansMonthly and annual follow-ups of the COVID-19 Coping Study cohort will assess longitudinal changes to mental health, cognitive health and well-being in relation to social, behavioural, economic and other COVID-19-related changes to life circumstances. Quantitative and in-depth qualitative interview data will be collected through online questionnaires and telephone interviews. Cohort data will be archived for public use.