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OBJECTIVE: The objective of this study was to investigate variations across hospitals in infection rates and associated costs, the latter reflected in 90-day Medicare payments. Despite high rates and expenditures of healthcare-associated infections associated with durable ventricular assist device implant, few studies have examined inter-hospital variation and associated costs. METHODS: Clinical data on 8688 patients who received primary durable ventricular assist devices from July 2008 to July 2017 from The Society of Thoracic Surgeons Interagency Registry for Mechanically Assisted Circulatory Support (Intermacs) hospitals (n=120) were merged with post-implant 90-day Medicare claims. Terciles of hospital-specific, risk-adjusted infection rates per 100 patient-months were estimated using Intermacs and associated with Medicare payments (among 5440 Medicare beneficiaries). Primary outcomes included infections within 90 days of implant and Medicare payments. RESULTS: There were 3982 infections identified among 27.8% (2,417/8,688) of patients developing an infection. The median (25(th), 75(th) percentile) adjusted incidence of infections (per 100 patient-months) across hospitals was 14.3 (9.3, 19.5) and varied by hospital (range 0.0 – 35.6). Total Medicare payments from implant to 90-days were 9.0% (absolute difference: $13,652) greater in high versus low infection tercile hospitals, p

Improved health-related quality of life (HRQOL) is an important outcome following durable left ventricular assist device (LVAD) implant. However, half of pre-implant HRQOL data are incomplete in The Society of Thoracic Surgeons' Intermacs registry. Pre-implant HRQOL incompleteness may reflect patient status or hospital resources to capture HRQOL data. We hypothesized that pre-implant HRQOL incompleteness predicts 90 day outcomes and serves as a novel quality metric.Risk factors for pre-implant HRQOL (EQ-5D-5L visual analog scale; 12-item Kansas City Cardiomyopathy Questionnaire "KCCQ") incompleteness were examined by stepwise logistic modeling. Direct standardization method was used to calculate adjusted incompleteness rates using a mixed effects logistic model. Hospitals were dichotomized as low or high based on median adjusted incompleteness rates. Andersen-Gill models were used to associate pre-implant HRQOL adjusted incompleteness rate with adverse events within 90 day post-implant.The study cohort included 14,063 patients receiving a primary LVAD (4/2012-8/2017). HRQOL incompleteness at high-rate hospitals was more often due to administrative reasons (risk difference, EQ-5D: 10.1%; KCCQ-12: 11.6%) and less likely due to patient reasons (risk difference, EQ-5D: -8.9%; KCCQ-12: -11.4%). A 10% increase in the adjusted pre-implant EQ-5D incompleteness rate was significantly associated with higher risk of infection-related mortality (HR: 1.09), infection (HR: 1.05), and renal dysfunction (HR: 1.03). A 10% increase in the adjusted pre-implant KCCQ-12 incompleteness rate was significantly associated with higher risk of infection (HR: 1.04).Hospital adjusted pre-implant HRQOL incompleteness was predictive of 90-day post-implant outcomes and may serve as a novel quality metric.

In October 2017, the National Poll on Healthy Aging surveyed a nationally representative sample of 2,007 adults aged 50–80 years to assess attitudes toward influenza (flu) vaccination policies in long-term care facilities. Support for requiring vaccinations was lowest for visitors. Policy makers can use these findings to develop sustainable vaccination strategies.

Objectives We surveyed older adults about their perceived mental health and their comfort discussing and engaging in mental health treatment. Methods A nationally representative survey of community-dwelling older adults aged 50–80 (N = 2,021), with respondents asked to rate their current mental health as compared to 20 years ago, comfort discussing their mental health, and potential hesitations to seeking treatment in the future. Results About 79.6% reported their mental health as the same or better than 20 years ago; 18.6% reported their mental health to be worse. Most respondents reported that they were comfortable (87.3%) discussing their mental health, preferring to discuss such concerns with their primary care provider (30.6%). About 28.5% of respondents did endorse some hesitation seeking mental health care in the future. Conclusions Most older adults reported that their mental health was as good if not better than it was 20 years ago and felt comfortable discussing mental health concerns.

To examine whether fragmentation of care is associated with worse in-hospital and 90-day outcomes following durable ventricular assist device (VAD) implant.Cohort study.This study was conducted using Medicare claims linked to the Society of Thoracic Surgeons (STS) Interagency Registry for Mechanically Assisted Circulatory Support (Intermacs) among patients undergoing VAD implant between July 2009 and April 2017. Medicare data were used to measure fragmentation of the multidisciplinary care delivery network for the treating hospital, based on providers' history of shared patients within the previous year. STS Intermacs data were used for risk adjustment and outcomes ascertainment. Hospitals were sorted into terciles based on the degree of network fragmentation, measured as the mean number of links separating providers in the network. Multivariable regression was used to associate network fragmentation with 90-day death or infection risk.The cohort included 5159 patients who underwent VAD implant, with 11.2% dying and 27.6% experiencing an infection within 90 days after implant. After adjustment, a 1-unit increase in network fragmentation was associated with an increase of 0.179 in the probability of in-hospital infection and an increase of 0.183 in the probability of 90-day infection (both P .05). Similar results were observed in models of the numbers of in-hospital and 90-day infections. Network fragmentation was predictive of the probability of 90-day mortality, although this relationship was not significant after adjustment.Care delivery network fragmentation is associated with higher in-hospital and 90-day infection rates following durable VAD implant. These networks may serve as novel targets for enhancing outcomes for patients undergoing VAD implant.

Background Physical function worsens with older age, particularly for sedentary and socially isolated individuals, and this often leads to injuries. Through reductions in physical activity, the COVID-19 pandemic may have worsened physical function and led to higher fall-related risks. Methods A nationally representative online survey of 2006 U.S. adults aged 50-80 was conducted in January 2021 to assess changes in health behaviors (worsened physical activity and less daily time spent on feet), social isolation (lack of companionship and perceived isolation), physical function (mobility and physical conditioning), and falls (falls and fear of falling) since March 2020. Multivariable logistic regression was used to assess relationships among physical activity, social isolation, physical function, falls, and fear of falling. Results Among respondents, 740 (36.9%) reported reduced physical activity levels, 704 (35.1%) reported reduced daily time spent on their feet since March 2020, 712 (37.1%) reported lack of companionship, and 914 (45.9%) social isolation. In multivariable models, decreased physical activity (adjusted risk ratio, ARR: 2.92, 95% CI: 2.38, 3.61), less time spent on one's feet (ARR: 1.95, 95% CI: 1.62, 2.34), and social isolation (ARR: 1.51, 95% CI: 1.30, 1.74) were associated with greater risks of worsened physical conditioning. Decreased physical activity, time spent daily on one's feet, and social isolation were similarly associated with worsened mobility. Worsened mobility was associated with both greater risk of falling (ARR: 1.70, 95% CI: 1.35, 2.15) and worsened fear of falling (ARR: 2.02, 95% CI: 1.30, 3.13). Worsened physical conditioning and social isolation were also associated with greater risk of worsened fear of falling. Conclusion The COVID-19 pandemic was associated with worsened physical functioning and fall outcomes, with the greatest effect on individuals with reduced physical activity and social isolation. Public health actions to address reduced physical activity and social isolation among older adults are needed.

This Viewpoint discusses the growth of diagnostic stewardship beyond infectious disease to reduce diagnostic errors in other fields.

Introduction COVID-19 necessitated a shift from in-person to virtual care for all patients, particularly older adults. It is unknown how older individuals’ views of telehealth changed during this time and how this may affect their future use of telehealth services. Methods We used data from a cross-sectional online survey of a nationally representative sample of 2074 U.S. adults ages 50–80 who were participants in the National Poll on Healthy Aging. We performed a descriptive and multivariable analysis of individuals’ perspectives on past and future telehealth visits, sociodemographics, and health status. Results Before March 2020, 5.8% of respondents had used telehealth, compared to 32.0% by June 2020. Of telehealth users, 36.1% indicated their most recent telehealth visit used audio-only (i.e., without video) technology. In multivariable analysis, those who never used video technology compared to those who were “very comfortable” (average marginal effect (AME) 49%, 95% CI: 36–63), identified as Hispanic (AME 19% vs White, non-Hispanic, 95% CI: 5–32), or were female (AME 9%, 95% CI: 1–17) were more likely to report audio-only use. Concerns remained about the inability to conduct physical exams (75%) and telehealth quality of care (67%), though most (64%) older adults indicated an interest in future telehealth visits. Discussion Telehealth use increased substantially among older U.S. adults during the early months of the COVID-19 pandemic; however, many reported using audio-only telehealth, an important consideration for policymakers and providers. Addressing older adults’ concerns about and barriers to telehealth visits is needed to ensure telehealth does not exacerbate disparities in their care.

Objectives: Sexual health is an important component of overall health and well-being for older adults. Despite this, little is known about the importance of sex to quality of life, as part of roman...

UNSTRUCTURED This is a corrigendum of original article ms# 14701.

Informal caregivers for persons with dementia frequently report needing assistance, yet formal support service use has been low. To better understand factors associated with service use, correlates of self-reported service use (e.g. support groups, family mediation, family leave, classes/trainings, and respite care) among dementia caregivers were assessed. The National Poll on Healthy Aging conducted a nationally representative web-based survey of adults aged 50–80 (N=2,131) using Ispos’ KnowledgePanel®; 148 reported caregiving for an adult with memory loss [61.5% female; 25% non-White, 54.1% aged 50–64]. Multivariable logistic regression analyses assessed caregiver and care recipient characteristics associated with service use within the prior year. Nearly 25% of caregivers used at least one service. Caregiver characteristics associated with greater likelihood of service use included not working [7.5 OR; 2.73, 20.62 CI]; income

Objectives:Emergency preparedness becomes more important with increased age, as older adults are at heightened risk for harm from disasters. In this study, predictors of preparedness actions and confidence in preparedness among older adults in the United States were assessed.Methods:This nationally representative survey polled community-dwelling older adults ages 50-80 y (n = 2256) about emergency preparedness and confidence in addressing different types of emergencies. Logistic regression was used to identify predictors of reported emergency preparedness actions and confidence in addressing emergencies.Results:Participants’ mean age was 62.4 y (SD = 8); 52% were female, and 71% were non-Hispanic white. Living alone was associated with lower odds of having a 7-d supply of food and water (adjusted odds ratio [aOR] = 0.74; 95% confidence interval [CI]: 0.56-0.96), a stocked emergency kit (aOR = 0.64; 95% CI: 0.47-0.86), and having had conversations with family or friends about evacuation plans (aOR = 0.59; 95% CI: 0.44-0.78). Use of equipment requiring electricity was associated with less confidence in addressing a power outage lasting more than 24 h (aOR = 0.66; 95% CI: 0.47-0.94), as was use of mobility aids (OR = 0.65; 95% CI: 0.45-0.93).Conclusions:These results point to the need for tailored interventions to support emergency preparedness for older adults, particularly among those who live alone and use medical equipment requiring electricity.

IMPORTANCE: Assessing COVID-19 vaccine performance against the rapidly spreading SARS-CoV-2 Omicron variant is critical to inform public health guidance. OBJECTIVE: To estimate the association between receipt of 3 doses of Pfizer-BioNTech BNT162b2 or Moderna mRNA-1273 vaccine and symptomatic SARS-CoV-2 infection, stratified by variant (Omicron and Delta). DESIGN, SETTING, AND PARTICIPANTS: A test-negative case-control analysis among adults 18 years or older with COVID-like illness tested December 10, 2021, through January 1, 2022, by a national pharmacy-based testing program (4666 COVID-19 testing sites across 49 US states). EXPOSURES: Three doses of mRNA COVID-19 vaccine (third dose ≥14 days before test and ≥6 months after second dose) vs unvaccinated and vs 2 doses 6 months or more before test (ie, eligible for a booster dose). MAIN OUTCOMES AND MEASURES: Association between symptomatic SARS-CoV-2 infection (stratified by Omicron or Delta variants defined using S-gene target failure) and vaccination (3 doses vs unvaccinated and 3 doses vs 2 doses). Associations were measured with multivariable multinomial regression. Among cases, a secondary outcome was median cycle threshold values (inversely proportional to the amount of target nucleic acid present) for 3 viral genes, stratified by variant and vaccination status. RESULTS: Overall, 23 391 cases (13 098 Omicron; 10 293 Delta) and 46 764 controls were included (mean age, 40.3 [SD, 15.6] years; 42 050 [60.1%] women). Prior receipt of 3 mRNA vaccine doses was reported for 18.6% (n = 2441) of Omicron cases, 6.6% (n = 679) of Delta cases, and 39.7% (n = 18 587) of controls; prior receipt of 2 mRNA vaccine doses was reported for 55.3% (n = 7245), 44.4% (n = 4570), and 41.6% (n = 19 456), respectively; and being unvaccinated was reported for 26.0% (n = 3412), 49.0% (n = 5044), and 18.6% (n = 8721), respectively. The adjusted odds ratio for 3 doses vs unvaccinated was 0.33 (95% CI, 0.31-0.35) for Omicron and 0.065 (95% CI, 0.059-0.071) for Delta; for 3 vaccine doses vs 2 doses the adjusted odds ratio was 0.34 (95% CI, 0.32-0.36) for Omicron and 0.16 (95% CI, 0.14-0.17) for Delta. Median cycle threshold values were significantly higher in cases with 3 doses vs 2 doses for both Omicron and Delta (Omicron N gene: 19.35 vs 18.52; Omicron ORF1ab gene: 19.25 vs 18.40; Delta N gene: 19.07 vs 17.52; Delta ORF1ab gene: 18.70 vs 17.28; Delta S gene: 23.62 vs 20.24). CONCLUSIONS AND RELEVANCE: Among individuals seeking testing for COVID-like illness in the US in December 2021, receipt of 3 doses of mRNA COVID-19 vaccine (compared with unvaccinated and with receipt of 2 doses) was less likely among cases with symptomatic SARS-CoV-2 infection compared with test-negative controls. These findings suggest that receipt of 3 doses of mRNA vaccine, relative to being unvaccinated and to receipt of 2 doses, was associated with protection against both the Omicron and Delta variants, although the higher odds ratios for Omicron suggest less protection for Omicron than for Delta.

Although infections are common after left ventricular assist device implantation, the relationship between timing and type of first infection with regard to mortality is less well understood.The Society of Thoracic Surgeons Interagency Registry for Mechanically Assisted Circulatory Support patients receiving a primary left ventricular assist device from April 2012 to May 2017 were included. The primary exposure was defined 3 ways: any infection, timing of first infection (early: ≤90 days; intermediate: 91-180 days; late:180 days), and type (ventricular assist device specific, ventricular assist device related, non-ventricular assist device). The association between first infection and all-cause mortality was estimated using Cox regression.The cohort included 12,957 patients at 166 centers (destination therapy: 47.4%, bridge-to-transplant: 41.2%). First infections were most often non-ventricular assist device (54.2%). Rates of first infection were highest in the early interval (10.7/100 person-months). Patients with any infection had a significantly higher adjusted hazard of death (hazard ratio, 2.63; 2.46-2.86). First infection in the intermediate interval was associated with the largest increase in adjusted hazard of death (hazard ratio, 3.26; 2.82-3.78), followed by late (hazard ratio, 3.13; 2.77-3.53) and early intervals (hazard ratio, 2.37; 2.16-2.60). Ventricular assist device-related infections were associated with the largest increase in hazard of death (hazard ratio, 3.02; 2.69-3.40), followed by ventricular assist device specific (hazard ratio, 2.92; 2.57-3.32) and non-ventricular assist device (hazard ratio, 2.42; 2.20-2.65).Relative to those without infection, patients with any postimplantation infection had an increased risk of death. Ventricular assist device-related infections and infections occurring in the intermediate interval were associated with the largest increase in risk of death. After left ventricular assist device implantation, infection prevention strategies should target non-ventricular assist device infections in the first 90 days, then shift to surveillance/prevention of driveline infections after 90 days.

This cohort study of college football players in a single athletic conference examines the association of close contact events among players on opposing teams and subsequent positive SARS-CoV-2 tests.

To describe associations between patient factors and interest in and concerns about telehealth video visits among adults in midlife and older.A cross-sectional, nationally representative panel survey of US adults aged 50 to 80 years (N = 2256) in May 2019.Multivariable logistic regression was used to estimate the adjusted prevalence of interest in different types of video telehealth visits and concerns about telehealth for individuals with different characteristics.Individuals aged 65 to 80 (vs 50-64) years were more likely to be interested in a first-time telehealth visit (37.3% vs 31.5%; P .05) and to be concerned about not feeling personally connected to their provider (52.8% vs 46.5%; P .05). Women (vs men) were less likely to be interested in a first-time visit (29.3% vs 38.2%; P .001) and more likely to be concerned about technical difficulties (52.3% vs 42.1%; P .001). Black, non-Hispanic individuals (vs White, non-Hispanic individuals) were more likely to be interested in first-time (45.2% vs 29.8%; P .001) and return (67.7% vs 56.2%; P .01) visits. Individuals comfortable using video chat (vs never users) were more likely to be interested in a telehealth visit for any reason (all P .001) and less likely to have concerns about privacy, difficulty seeing/hearing, technical difficulties, not feeling personally connected, and lower quality of care (all P .01).Interest in and concerns about telehealth vary along the lines of sociodemographic factors and experience using the internet for video communication. These findings have implications for the design of interventions and policies to promote equitable access to health care as it increasingly moves online.

Background and Objectives The coronavirus disease 2019 (COVID-19) pandemic poses new challenges for caregivers of adults with chronic or disabling conditions. This study uses nationally representative data to examine the prevalence of pandemic care challenges and supports and their associations with caregiver mental health and interpersonal well-being. Research Design and Methods Participants include 311 caregivers aged 50–80 in the United States who were providing care for an adult with a chronic or disabling condition from the June 2020 National Poll on Healthy Aging. Five care challenges (e.g., confusion on public health guidelines) and 2 supports (e.g., physician offered information on care during COVID-19) are treated as predictors of caregiver mental health (care-related stress, self-reported mental health, and depressive symptoms) and interpersonal well-being (interpersonal conflicts, lack of companionship, and isolation). Results Each care challenge/support was endorsed by 13%–23% of caregivers. In adjusted models, difficulty getting needed medical care was associated with greater caregiver stress, depressive symptoms, and lower interpersonal well-being. All care challenges universally predicted greater caregiver stress. Caregiving supports were not independently associated with caregiver’ mental health and interpersonal well-being. Discussion and Implications Care challenges were associated with caregivers’ mental health and interpersonal well-being during the early months of the pandemic. Some of these challenges may be attributed to changing public health guidelines and practices as the pandemic unfolded, whereas others are relevant to all care contexts (e.g., less support from family). Tools and supports for caregivers must consider both changing policies and care needs.

This JAMA Patient Page discusses polio, including its epidemiology, prevention, and symptoms.

Objectives Older adults regularly encounter age-based discrimination and stereotyping in their day-to-day lives. Whether this type of routine ageism negatively affects their health and well-being is unclear, in part due to the absence of validated scales that comprehensively measure this phenomenon and distinguish it from other sources of everyday discrimination. Methods This study describes the development of a novel scale, the Everyday Ageism Scale, and its psychometric evaluation using a nationally representative sample of US adults age 50–80 from the December 2019 National Poll on Healthy Aging ( N = 2012). Results Exploratory factor analysis indicated a 3-factor structure comprised of ageist messages, ageism in interpersonal interactions, and internalized ageism. The ten-item scale was psychometrically sound and demonstrated good internal reliability. Discussion Everyday ageism is a multidimensional construct. Preliminary evaluation of the Everyday Ageism Scale suggests its utility in future studies examining the prevalence of everyday ageism and its relationships with health.

IMPORTANCE: Antimicrobials are extensively prescribed to nursing home residents with advanced dementia, often without evidence of infection or consideration of the goals of care. OBJECTIVE: To test the effectiveness of a multicomponent intervention to improve the management of suspected urinary tract infections (UTIs) and lower respiratory infections (LRIs) for nursing home residents with advanced dementia. DESIGN, SETTING, AND PARTICIPANTS: A cluster randomized clinical trial of 28 Boston-area nursing homes (14 per arm) and 426 residents with advanced dementia (intervention arm, 199 residents; control arm, 227 residents) was conducted from August 1, 2017, to April 30, 2020. INTERVENTIONS: The intervention content integrated best practices from infectious diseases and palliative care for management of suspected UTIs and LRIs in residents with advanced dementia. Components targeting nursing home practitioners (physicians, physician assistants, nurse practitioners, and nurses) included an in-person seminar, an online course, management algorithms (posters, pocket cards), communication tips (pocket cards), and feedback reports on prescribing of antimicrobials. The residents’ health care proxies received a booklet about infections in advanced dementia. Nursing homes in the control arm continued routine care. MAIN OUTCOMES AND MEASURES: The primary outcome was antimicrobial treatment courses for suspected UTIs or LRIs per person-year. Outcomes were measured for as many as 12 months. Secondary outcomes were antimicrobial courses for suspected UTIs and LRIs when minimal criteria for treatment were absent per person-year and burdensome procedures used to manage these episodes (bladder catherization, chest radiography, venous blood sampling, or hospital transfer) per person-year. RESULTS: The intervention arm had 199 residents (mean [SD] age, 87.7 [8.0] years; 163 [81.9%] women; 36 [18.1%] men), of which 163 (81.9%) were White and 27 (13.6%) were Black. The control arm had 227 residents (mean [SD] age, 85.3 [8.6] years; 190 [83.7%] women; 37 [16.3%] men), of which 200 (88.1%) were White and 22 (9.7%) were Black. There was a 33% (nonsignificant) reduction in antimicrobial treatment courses for suspected UTIs or LRIs per person-year in the intervention vs control arm (adjusted marginal rate difference, −0.27 [95% CI, −0.71 to 0.17]). This reduction was primarily attributable to reduced antimicrobial use for LRIs. The following secondary outcomes did not differ significantly between arms: antimicrobials initiated when minimal criteria were absent, bladder catheterizations, venous blood sampling, and hospital transfers. Chest radiography use was significantly lower in the intervention arm (adjusted marginal rate difference, −0.56 [95% CI, −1.10 to −0.03]). In-person or online training was completed by 88% of the targeted nursing home practitioners. CONCLUSIONS AND RELEVANCE: This cluster randomized clinical trial found that despite high adherence to the training, a multicomponent intervention promoting goal-directed care for suspected UTIs and LRIs did not significantly reduce antimicrobial use among nursing home residents with advanced dementia. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03244917

Firearms are a leading cause of injury mortality across the lifespan, with elevated risks for older adult populations. To inform prevention efforts, we conducted a probability-based web survey (12/1/2019-12/23/2019) of 2048 older adults (age 50-80) to characterize national estimates of firearm ownership, safety practices, and attitudes about health screening, counseling, and policy initiatives. Among older U.S. adults, 26.7% [95%CI = 24.8%-28.8%] report owning one or more firearms. The primary motivation for ownership was protection (69.5%), with 90.4% highlighting a fear of criminal assault. 39.4% of firearm owners reported regularly storing firearm(s) unloaded and locked, with 24.2% regularly storing at least one loaded and unlocked. While most firearm owners found healthcare screening (69.2% [95%CI: 64.9-73.1]) and safety counseling (63.2% [95%CI = 58.8-67.3]) acceptable, only 3.7% of older adults reported being asked about firearm safety by a healthcare provider in the past year. Among firearm owners, there was support for state-level policy interventions, including allowing family/police to petition courts to restrict access when someone is a danger to self/others (78.9% [95%CI = 75.1-82.3]), comprehensive background checks (85.0% [95%CI = 81.5-87.9]), restricting access/ownership under domestic violence restraining orders (88.1%; 95%CI = 84.9-90.7], and removing firearms from older adults with dementia/confusion (80.6%; 95%CI = 76.8-84.0]. Healthcare and policy-level interventions maintained higher support among non-owners than owners (p's 0.001). Overall, data highlights opportunities exist for more robust firearm safety prevention efforts among older adults, particularly healthcare-based counseling and state/federal policies that focus on addressing lethal means access among at-risk individuals.

Objective Older adults commonly use products that may be used to promote sleep, such as benzodiazepines and over-the-counter medications, but the current extent of use of both prescription and nonprescription products specifically for sleep in the United States is unknown. Methods Respondents in this cross-sectional, nationally representative survey (the National Poll on Healthy Aging) of community-dwelling older adults aged 65–80 (n = 1,065) reported difficulty initiating sleep or early awakening (“sleep symptoms”) and use of prescription medication or nonprescription aids to promote sleep (“sleep product”), including prescription sleep medication, over-the-counter (OTC) sleep aids, prescription pain medication, and herbal/natural sleep aids. Logistic regression was used to determine the association of respondent sociodemographic and clinical characteristics with the use of sleep products. Results Sleep symptoms were endorsed by 67.7% of respondents (95% confidence interval [CI] 64.7%–70.7%). Use of a sleep product was reported by 35.4% (95% CI 32.4%–38.6%), with 21.9% (95% CI 19.4%–24.7%) using OTC sleep aids, 12.5% using herbal/natural aids (95% CI 10.6%–14.8%), 8.3% using prescription sleep medication (95% CI 6.7%–10.3%), and 5.0% using prescription pain medication (95% CI 3.8%–6.7%). Self-reported fair/poor mental health (relative to excellent/very good) was associated with increased odds of sleep product use (adjusted odds ratio 2.28, 95% CI 1.10–4.72, p = 0.03). Conclusion More than a third of older adults use medications or aids to help with sleep—most commonly OTC aids. Clinicians should routinely ask older patients about sleep-related difficulties and the use of nonprescription sleep aids.

Major incidents of ageism have been shown to be associated with poorer health and well-being among older adults. Less is known about routine types of age-based discrimination, prejudice, and stereotyping that older adults encounter in their day-to-day lives, known as everyday ageism.To examine the prevalence of everyday ageism, group differences and disparities, and associations of everyday ageism with indicators of poor physical and mental health.This cross-sectional study was conducted using survey data from the December 2019 National Poll on Healthy Aging among a nationally representative household sample of US adults ages 50 to 80 years. Data were analyzed from November 2021 through April 2022.Experiences of everyday ageism were measured using the newly developed multidimensional Everyday Ageism Scale.Fair or poor physical health, number of chronic health conditions, fair or poor mental health, and depressive symptoms.Among 2035 adults ages 50 to 80 years (1047 [54.2%] women; 192 Black [10.9%], 178 Hispanic [11.4%], and 1546 White [71.1%]; mean [SD] age, 62.6 [8.0] years [weighted statistics]), most participants (1915 adults [93.4%]) reported regularly experiencing 1 or more forms of everyday ageism. Internalized ageism was reported by 1664 adults (81.2%), ageist messages by 1394 adults (65.2%), and interpersonal ageism by 941 adults (44.9%). Mean Everyday Ageism Scale scores were higher for several sociodemographic groups, including adults ages 65 to 80 years vs those ages 50 to 64 years (11.23 [95% CI, 10.80-11.66] vs 9.55 [95% CI, 9.26-9.84]) and White (10.43 [95% CI, 10.20-10.67]; P .001) and Hispanic (10.09 [95% CI, 9.31-10.86]; P = .04) adults vs Black adults (9.23 [95% CI, 8.42-10.03]). Higher levels of everyday ageism were associated with increased risk of all 4 negative physical and mental health outcomes examined in regression analyses (with odds ratios [ORs] per additional scale point as high as 1.20 [95% CI, 1.17-1.23] for depressive symptoms and b = 0.039 [95% CI, 0.029-0.048] for chronic health conditions; P values .001). Internalized ageism was the category associated with the greatest increase in risk of poor outcomes for all health measures (with ORs per additional scale point as high as 1.62 [95% CI, 1.49-1.76] for depressive symptoms and b = 0.063 [95% CI, 0.034-0.092] for chronic health conditions; P values .001).This study found everyday ageism to be prevalent among US adults ages 50 to 80 years. These findings suggest that commonplace ageist messages, interactions, and beliefs may be harmful to health and that multilevel and multisector efforts may be required to reduce everyday ageism and promote positive beliefs, practices, and policies related to aging and older adults.

IMPORTANCE: Controlling antimicrobial resistance in health care is a public health priority, although data describing antimicrobial use in US nursing homes are limited. OBJECTIVE: To measure the prevalence of antimicrobial use and describe antimicrobial classes and common indications among nursing home residents. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional, 1-day point-prevalence surveys of antimicrobial use performed between April 2017 and October 2017, last survey date October 31, 2017, and including 15 276 residents present on the survey date in 161 randomly selected nursing homes from selected counties of 10 Emerging Infections Program (EIP) states. EIP staff reviewed nursing home records to collect data on characteristics of residents and antimicrobials administered at the time of the survey. Nursing home characteristics were obtained from nursing home staff and the Nursing Home Compare website. EXPOSURES: Residence in one of the participating nursing homes at the time of the survey. MAIN OUTCOMES AND MEASURES: Prevalence of antimicrobial use per 100 residents, defined as the number of residents receiving antimicrobial drugs at the time of the survey divided by the total number of surveyed residents. Multivariable logistic regression modeling of antimicrobial use and percentages of drugs within various classifications. RESULTS: Among 15 276 nursing home residents included in the study (mean [SD] age, 77.6 [13.7] years; 9475 [62%] women), complete prevalence data were available for 96.8%. The overall antimicrobial use prevalence was 8.2 per 100 residents (95% CI, 7.8-8.8). Antimicrobial use was more prevalent in residents admitted to the nursing home within 30 days before the survey date (18.8 per 100 residents; 95% CI, 17.4-20.3), with central venous catheters (62.8 per 100 residents; 95% CI, 56.9-68.3) or with indwelling urinary catheters (19.1 per 100 residents; 95% CI, 16.4-22.0). Antimicrobials were most often used to treat active infections (77% [95% CI, 74.8%-79.2%]) and primarily for urinary tract infections (28.1% [95% CI, 15.5%-30.7%]). While 18.2% (95% CI, 16.1%-20.1%) were for medical prophylaxis, most often use was for the urinary tract (40.8% [95% CI, 34.8%-47.1%]). Fluoroquinolones were the most common antimicrobial class (12.9% [95% CI, 11.3%-14.8%]), and 33.1% (95% CI, 30.7%-35.6%) of antimicrobials used were broad-spectrum antibiotics. CONCLUSIONS AND RELEVANCE: In this cross-sectional survey of a cohort of US nursing homes in 2017, prevalence of antimicrobial use was 8.2 per 100 residents. This study provides information on the patterns of antimicrobial use among these nursing home residents.

ObjectiveTo test the association between self-reported opioid disposal education and self-reported disposal of leftover opioids among older adults.DesignWeb-based survey from the National Poll on Healthy Aging (March 2018) using population-based weighting for nationally representative estimates.SubjectsOlder adults aged 50–80 years who reported filling an opioid prescription within the past 2 years.MethodsRespondents were asked whether they received education from a prescriber or pharmacist on how to dispose of leftover opioids and whether they disposed of leftover opioids from recent prescriptions. The association between self-reported opioid disposal education and self-reported disposal of leftover opioids was estimated with multivariable logistic regression, testing for interactions with respondent demographics.ResultsAmong 2013 respondents (74% response rate), 596 (28.9% (26.8%–31.2%)) were prescribed opioids within the past 2 years. Education on opioid disposal was reported by 40.1% of respondents (35.8%–44.5%). Among 295 respondents with leftover medication, 19.0% (14.6%–24.5%) disposed of the leftover medications. Opioid disposal education was associated with a greater likelihood of self-reported disposal of leftover opioids among non-white respondents as compared with white non-Hispanic respondents (36.7% (16.8%–56.6%) vs 7.8% (0.1%–15.6%), pConclusionsIn this nationally representative survey, 49% had leftover opioids, yet only 20% of older adults reported disposal of leftover opioids. Opioid disposal education was variable in delivery, but was associated with disposal behaviors among certain populations. Strategies to promote disposal should integrate patient education on the risks of leftover opioid medications and explore additional barriers to accessing opioid disposal methods.