A Comparative Study of Depression in Elderly Institutional Residents and Elderly Home Residents

When people experience aging, their need for care and institutionalization rises. Sending Parents to elderly or nursing homes has been prevalent in western countries while not a standard practice in Eastern communities. The present study based on a cross-sectional study design aspired to compare the depression in elderly institutional residents and elderly home residents. A purposive sample of 150 elderly were assessed for depression by using the Beck Depression Inventory-II. The results indicated that the level of depression was significantly higher in institutionalized elderly compared to the elderly living in their homes with families. Further, elderly females reported higher depression in comparison to elderly male respondents. Moreover, findings indicate that the institutionalized elderly had moderate to severe levels of depression and that the elderly home residents had no to a mild mood disturbance. The elderly may feel more psychological health living with families. The study concludes that elderly individuals living in institutional homes were much more suffering from depression as compared to elderly individuals living at home with families. The concerned authorities should devise strategies to enhance the mental health and quality of life of the elderly which may contribute to reduce the prevalence of depression (AU)

Safety Concerns for Persons with Dementia in Senior Housing: A Qualitative Study with Korean American Caregivers in Los Angeles.

Subsidized senior housing helps many socioeconomically disadvantaged older adults pursue independent living and aging in place. However, cognitive impairment or dementia poses a critical challenge to many residents' ability to live independently and safely. Focusing on Korean American dementia caregivers, a group known to be vulnerable to caregiving burden but understudied, we explored the safety of persons with dementia in senior housing from the perspectives of caregivers. Qualitative data from nine caregivers whose care recipients were current or former residents of subsidized senior housing in Los Angeles were analyzed by the constant comparative method. Major concerns emerged were: (1) fire risks, (2) wandering, (3) physical injury (e.g., self-harm, falls), and (4) potential neglect. Caregivers also mentioned errors in the self-administration of medications, potential financial exploitation, and interpersonal conflicts. These concerns provide implications for services and programs for the safety of persons with dementia who live in senior housing.

A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.

BACKGROUND: Numerous studies have identified risk factors for physical restraint (PR) use in older adults in long-term care facilities. Nevertheless, there is a lack of predictive tools to identify high-risk individuals. OBJECTIVE: We aimed to develop machine learning (ML)-based models to predict the risk of PR in older adults. METHODS: This study conducted a cross-sectional secondary data analysis based on 1026 older adults from 6 long-term care facilities in Chongqing, China, from July 2019 to November 2019. The primary outcome was the use of PR (yes or no), identified by 2 collectors' direct observation. A total of 15 candidate predictors (older adults' demographic and clinical factors) that could be commonly and easily collected from clinical practice were used to build 9 independent ML models: Gaussian Naïve Bayesian (GNB), k-nearest neighbor (KNN), decision tree (DT), logistic regression (LR), support vector machine (SVM), random forest (RF), multilayer perceptron (MLP), extreme gradient boosting (XGBoost), and light gradient boosting machine (Lightgbm), as well as stacking ensemble ML. Performance was evaluated using accuracy, precision, recall, an F score, a comprehensive evaluation indicator (CEI) weighed by the above indicators, and the area under the receiver operating characteristic curve (AUC). A net benefit approach using the decision curve analysis (DCA) was performed to evaluate the clinical utility of the best model. Models were tested via 10-fold cross-validation. Feature importance was interpreted using Shapley Additive Explanations (SHAP). RESULTS: A total of 1026 older adults (mean 83.5, SD 7.6 years; n=586, 57.1% male older adults) and 265 restrained older adults were included in the study. All ML models performed well, with an AUC above 0.905 and an F score above 0.900. The 2 best independent models are RF (AUC 0.938, 95% CI 0.914-0.947) and SVM (AUC 0.949, 95% CI 0.911-0.953). The DCA demonstrated that the RF model displayed better clinical utility than other models. The stacking model combined with SVM, RF, and MLP performed best with AUC (0.950) and CEI (0.943) values, as well as the DCA curve indicated the best clinical utility. The SHAP plots demonstrated that the significant contributors to model performance were related to cognitive impairment, care dependency, mobility decline, physical agitation, and an indwelling tube. CONCLUSIONS: The RF and stacking models had high performance and clinical utility. ML prediction models for predicting the probability of PR in older adults could offer clinical screening and decision support, which could help medical staff in the early identification and PR management of older adults.

La presencia de las enfermeras en las residencias de mayores en Cantabria / The presence of nurses in Cantabria old people's home

Objetivos: Caracterizar la situación de la asistencia sociosanitaria y de dependencia en la comunidad autónoma de Cantabria y analizar la aplicación de cuidados por parte del personal de enfermería tanto del centro de salud como de los propios de los centros sociosanitarios y de dependencia. Metodología:Estudio descriptivo transversal y multicéntrico en el cual se diseñó una encuesta ad-hoc anónima enviada a todos los centros sociosanitarios de la comunidad autónoma de Cantabria para su cumplimentación. Resultados: Se obtuvieron 54 de las 60 encuestas enviadas, el total de residentes en centros sociosanitarios de Cantabria es de 5.335 personas con una media del 86,4% de pacientes dependientes y un total de 169 profesionales de enfermería que trabajan en estos centros. La ratio enfermera/paciente es de 32 pacientes por enfermera y la media de estos profesionales es de 4,12. La enfermera del centro de salud acude a los centros sociosanitarios 51,66 min/semana. Conclusiones: La situación actual es deficitaria en enfermeras por centro y en ratio por residente, cifras que no posibilitan la atención de enfermería adecuada. La ausencia de profesionales de enfermería no garantiza la continuidad de cuidados, la prevención ni el seguimiento de patologías crónicas. La presencia de enfermeras propias supone una mayor implicación, mejoras en la calidad de vida, calidad asistencial, mayor satisfacción general, minimización de errores y un descenso del intrusismo profesional (AU)

Objectives: Characterize the situation of the socio-sanitary assistance and dependency situation in the autonomous community (region) of Cantabria and to analyze the application of care by the nurses of the health center and the nurses of the sociosanitary and dependency centers. Methodology: Cross-sectional and multicenter descriptive study in which an anonymous ad-hoc survey was designed and sent to all the socio-sanitary centers of the autonomous community of Cantabria to be filled out. Results: A total of 54 of the 60 surveys sent were returned; the total number of residents in socio-sanitary centers in Cantabria is 5,335 people, with an average of 86.4% of dependent patients and a total of 169 nursing professionals who work in these centers. The nurse/patient ratio is 32 patients per nurse and the average of these professionals is 4.12. The health center nurse goes to the socio-sanitary centers 51.66 min/week. Conclusions: The current situation is deficient in nurses per center and in ratio per resident, figures that do not allow for adequate nursing care. The absence of nursing professionals does not guarantee the continuous care, prevention or monitoring of chronic pathologies. The presence of own nurses implies greater involvement, improvements in quality of life, quality of care, greater general satisfaction, minimization of errors and a decrease in professional intrusion (AU)

County-Level Social Determinants of Health and COVID-19 in Nursing Homes, United States, June 1, 2020-January 31, 2021.

OBJECTIVES: Nursing homes are a primary setting of COVID-19 transmission and death, but research has primarily focused only on factors within nursing homes. We investigated the relationship between US nursing home-associated COVID-19 infection rates and county-level and nursing home attributes. METHODS: We constructed panel data from the Centers for Medicare & Medicaid Services (CMS) minimum dataset, CMS nursing home data, 2010 US Census data, 5-year (2012-2016) American Community Survey estimates, and county COVID-19 infection rates. We analyzed COVID-19 data from June 1, 2020, through January 31, 2021, during 7 five-week periods. We used a maximum likelihood estimator, including an autoregressive term, to estimate effects and changes over time. We performed 3 model forms (basic, partial, and full) for analysis. RESULTS: Nursing homes with nursing (0.005) and staff (0.002) shortages had high COVID-19 infection rates, and locally owned (-0.007) or state-owned (-0.025) and nonprofit (-0.011) agencies had lower COVID-19 infection rates than privately owned agencies. County-level COVID-19 infection rates corresponded with COVID-19 infection rates in nursing homes. Racial and ethnic minority groups had high nursing home-associated COVID-19 infection rates early in the study. High median annual personal income (-0.002) at the county level correlated with lower nursing home-associated COVID-19 infection rates. CONCLUSIONS: Communities with low rates of nursing home infections had access to more resources (eg, financial resources, staffing) and likely had better mitigation efforts in place earlier in the pandemic than nursing homes that had access to few resources and poor mitigation efforts. Future research should address the social and structural determinants of health that are leaving racial and ethnic minority populations and institutions such as nursing homes vulnerable during times of crises.

Trends and variation in benzodiazepine use in nursing homes in the USA.

PURPOSE: Because of toxicities, benzodiazepines are not usually recommended in older adults. We therefore sought to describe the trends in benzodiazepine use in long-term care and examine the variation in benzodiazepine use among nursing homes. METHODS: In this retrospective repeated cross-sectional analysis of Medicare Parts A, B, and D claims data linked to the Minimum Data Set from 2013 to 2018, we included long-term residents who stayed in a nursing home for at least one entire quarter of a calendar year in 2013-2018. The outcome was whether residents were prescribed a benzodiazepine drug for at least 30 days during each quarter stay. We use mixed effects logistic regression models to assess the variation in benzodiazepine use among nursing homes, adjusting for patient and nursing home characteristics. RESULTS: The cohort for the time trend analysis included 270,566 unique residents and 1,843,580 quarter stays for 2013-2018. Prescribing rates for short-acting benzodiazepines were stable over 2013-2016, then declined from 12.1% in 2016 to 10.6% in 2018. The rate of long-acting benzodiazepine use remained relatively steady at around 4% over 2013-2018. During 2017-2018, the variation among nursing homes in benzodiazepine use was 7.2% for short-acting vs. 9.3% for long-acting benzodiazepines, after controlling for resident characteristics. CONCLUSION: Prescribing for short-acting benzodiazepines in long-term care declined after 2016, while long-acting benzodiazepine use did not change. The variation in benzodiazepine use among nursing homes is substantial. Identifying factors that explain this variation may help in developing strategies for deprescribing benzodiazepines in nursing home residents.

Trends in the Use of Residential Settings Among Older Adults.

OBJECTIVES: As the U.S. population ages, the prevalence of disability and functional limitations, and demand for long-term services and supports (LTSS), will increase. This study identified the distribution of older adults across different residential settings, and how their health characteristics have changed over time. METHODS: A cross-sectional analysis of older adults residing in traditional housing, community-based residential facilities (CBRFs), and nursing facilities using 3 data sources: the Medicare Current Beneficiary Survey (MCBS), 2008 and 2013; the Health and Retirement Study (HRS), 2008 and 2014; and the National Health and Aging Trends Study, 2011 and 2015. We calculated the age-standardized prevalence of older adults by setting, functional limitations, and comorbidities and tested for health characteristics changes relative to the baseline year (2002). RESULTS: The proportion of older adults in traditional housing increased over time, relative to baseline (p < .05), while the proportion of older adults in CBRFs was unchanged. The proportion of nursing facility residents declined from 2002 to 2013 in the MCBS (p < .05). The prevalence of dementia and functional limitations among traditional housing residents increased, relative to the baseline year in the HRS and MCBS (p < .05). DISCUSSION: The proportion of older adults residing in traditional housing is increasing, while the nursing facility population is decreasing. This change may not be due to better health; rather, older adults may be relying on noninstitutional LTSS.

Later-Life Living Arrangements of Americans With and Without Children: A Life Table Approach.

OBJECTIVES: This study describes living arrangement-specific life expectancy for older Americans with and without children, by sex and race/ethnicity. METHOD: We use life tables from the Human Mortality Database and data from the Health and Retirement Study over a 17-year period (2000-2016) to calculate living arrangement-specific life expectancy at age 65 using Sullivan's method. Results describe the lives of older Americans aged 65 and older with and without children in terms of the number of expected years of life in different living arrangements. RESULTS: With the exception of Hispanic men, older Americans without children spend over half of their remaining life living alone. Among the childless, it is White women and Black men who spend the largest percent of remaining life living alone (65% and 57%, respectively). Relative to parents, childless older Americans have an overall life expectancy at age 65 that is 1 year lower and spend 5-6 years more living alone and fewer years living with a spouse (8 years less for men and 5 years less for women). Childless older Americans spend more time in nursing homes, but average expected duration in this living arrangement is short and differences between those with and without children are small. DISCUSSION: This descriptive analysis demonstrates the fundamental ways in which children shape the lives of older Americans by showing that later-life living arrangements of childless Americans differ markedly from their counterparts with children. These results provide a valuable empirical foundation for broader efforts to understand relationships between childlessness, living arrangements, and well-being at older ages.

Multifactorial falls prevention programme compared with usual care in UK care homes for older people: multicentre cluster randomised controlled trial with economic evaluation.

OBJECTIVES: To determine the clinical and cost effectiveness of a multifactorial fall prevention programme compared with usual care in long term care homes. DESIGN: Multicentre, parallel, cluster randomised controlled trial. SETTING: Long term care homes in the UK, registered to care for older people or those with dementia. PARTICIPANTS: 1657 consenting residents and 84 care homes. 39 were randomised to the intervention group and 45 were randomised to usual care. INTERVENTIONS: Guide to Action for Care Homes (GtACH): a multifactorial fall prevention programme or usual care. MAIN OUTCOME MEASURES: Primary outcome measure was fall rate at 91-180 days after randomisation. The economic evaluation measured health related quality of life using quality adjusted life years (QALYs) derived from the five domain five level version of the EuroQoL index (EQ-5D-5L) or proxy version (EQ-5D-5L-P) and the Dementia Quality of Life utility measure (DEMQOL-U), which were self-completed by competent residents and by a care home staff member proxy (DEMQOL-P-U) for all residents (in case the ability to complete changed during the study) until 12 months after randomisation. Secondary outcome measures were falls at 1-90, 181-270, and 271-360 days after randomisation, Barthel index score, and the Physical Activity Measure-Residential Care Homes (PAM-RC) score at 91, 180, 270, and 360 days after randomisation. RESULTS: Mean age of residents was 85 years. 32% were men. GtACH training was delivered to 1051/1480 staff (71%). Primary outcome data were available for 630 participants in the GtACH group and 712 in the usual care group. The unadjusted incidence rate ratio for falls between 91 and 180 days was 0.57 (95% confidence interval 0.45 to 0.71, P<0.001) in favour of the GtACH programme (GtACH: six falls/1000 residents v usual care: 10 falls/1000). Barthel activities of daily living indices and PAM-RC scores were similar between groups at all time points. The incremental cost was £108 (95% confidence interval -£271.06 to 487.58), incremental QALYs gained for EQ-5D-5L-P was 0.024 (95% confidence interval 0.004 to 0.044) and for DEMQOL-P-U was 0.005 (-0.019 to 0.03). The incremental costs per EQ-5D-5L-P and DEMQOL-P-U based QALY were £4544 and £20 889, respectively. CONCLUSIONS: The GtACH programme was associated with a reduction in fall rate and cost effectiveness, without a decrease in activity or increase in dependency. TRIAL REGISTRATION: ISRCTN34353836.

Identification of Sarcopenic Obesity in German Nursing Home Residents-The Role of Body Composition and Malnutrition in the BaSAlt Cohort-Study.

BACKGROUND: Sarcopenic obesity (SO) is a phenotype, which is defined by reduced muscle strength, muscle mass, and obesity. Limited mobility leads to increased sedentary behavior and decreased physical activity. Both sarcopenia and obesity are aggravated by these factors. In combination, SO is an additional challenge for the setting nursing home (NH). Previous studies have shown a low prevalence of residents with SO in comparable settings, such as community-dwelling. We hypothesize that the BaSAlt cohort also has a small proportion of residents with SO. METHODS: For the analysis, 66 residents (women: 74.2%) aged ≥ 65 years from NH, were screened for SO based on EWGSOP2 specifications and cut-off values to classify obesity. RESULTS: Severe sarcopenia was quantified in eleven residents (16.7%). The majority of sarcopenic residents were women (n = 10) compared to men (n = 1). However, no SO could be identified by assessment of body mass index, fat mass in percentage, and fat mass index. CONCLUSION: As expected, the setting-specific cohort showed a low number of SO. Furthermore, no case of SO was identified in our study. Sarcopenia was associated with an increased fat-free mass in NH residents. Nevertheless, sarcopenia and obesity play important roles in the preservation of residents' health.

The mediating role of self-acceptance in the relationship between loneliness and subjective well-being among the elderly in nursing home: A cross-sectional study.

ABSTRACT: The purpose of this study was to investigate the mediating effects of self-acceptance on loneliness and subjective well-being (SWB) among elderly subjects living in Chinese nursing homes.This cross-sectional study was conducted between October 2019 and March 2020. A total of 415 elderly participants aged 60 to 97 years (mean 81.12 ±â€Š8.90 years) from 3 medical and nursing homes in Fuyang city, Anhui province, were selected using a convenience sampling method. Data were collected using a general information questionnaire, the Memorial University of Newfoundland Scale of Happiness, the self-acceptance scale, and the UCLA Loneliness scale. Correlations, regressions, and structural equation models were used for the analyses. Multiple linear regression analysis was performed to confirm the factors influencing the SWB. Bootstrapping was performed to confirm the mediation effect.The loneliness of elderly subjects in nursing homes was significantly correlated with self-acceptance and SWB (r = -0.338, P < .01; r = -0.383, P < .01), and self-acceptance was significantly correlated with SWB (r = 0.401, P < .01). Multiple linear regression revealed that the relationship with children, loneliness, residence time in nursing homes, income, marital status, self-acceptance, original residence, and frequency of children's visits were the main factors affecting SWB. Bootstrapping showed that the mediating role of self-acceptance was statistically significant.The SWB of elderly individuals living in Chinese nursing homes was moderate. Low-income people, subjects from rural areas, and those newly admitted to nursing homes should be emphasized in interventions, and appropriate measures should be taken to harmonize the relationships between elderly residents and their children. Self-acceptance partially mediated the relationship between loneliness and SWB. Consequently, self-acceptance should be the focus of improving the SWB of elderly nursing home residents.

Disproportionate increases in schizophrenia diagnoses among Black nursing home residents with ADRD.

BACKGROUND: Previous research demonstrated an increase in the reporting of schizophrenia diagnoses among nursing home (NH) residents after the Centers for Medicare & Medicaid Services National Partnership to Improve Dementia Care. Given known health and healthcare disparities among Black NH residents, we examined how race and Alzheimer's and related dementia (ADRD) status influenced the rate of schizophrenia diagnoses among NH residents following the partnership. METHODS: We used a quasi-experimental difference-in-differences design to study the quarterly prevalence of schizophrenia among US long-stay NH residents aged 65 years and older, by Black race and ADRD status. Using 2011-2015 Minimum Data Set 3.0 assessments, our analysis controlled for age, sex, measures of function and frailty (activities of daily living [ADL] and Changes in Health, End-stage disease and Symptoms and Signs scores) and behavioral expressions. RESULTS: There were over 1.2 million older long-stay NH residents, annually. Schizophrenia diagnoses were highest among residents with ADRD. Among residents without ADRD, Black residents had higher rates of schizophrenia diagnoses compared to their nonblack counterparts prior to the partnership. Following the partnership, Black residents with ADRD had a significant increase of 1.7% in schizophrenia as compared to nonblack residents with ADRD who had a decrease of 1.7% (p = 0.007). CONCLUSIONS: Following the partnership, Black NH residents with ADRD were more likely to have a schizophrenia diagnosis documented on their MDS assessments, and schizophrenia rates increased for Black NH residents with ADRD only. Further work is needed to examine the impact of "colorblind" policies such as the partnership and to determine if schizophrenia diagnoses are appropriately applied in NH practice, particularly for black Americans with ADRD.

Factors associated with inflamm-aging in institutionalized older people.

The increase in inflammatory cytokines associated with a reduction in the bioavailability of zinc has been used as a marker for inflammation. Despite the high inflammatory state found in institutionalized older individuals, few studies have proposed verifying the factors associated with this condition in this population. To verify the factors associated with inflamm-aging in institutionalized older people. A total of 178 older people (≥ 60 years old) living in nursing homes in Natal/RN were included in the study. Cluster analysis was used to identify three groups according to their inflammatory state. Analysis anthropometric, biochemical, sociodemographic, and health-related variables was carried out. In sequence, an ordinal logistic regression was performed for a confidence level of 95% in those variables with p < 0.20 in the bivariate analysis. IL-6, TNF-α, zinc, low-density lipids (LDL), high-density lipids (HDL), and triglycerides were associated with inflamm-aging. The increase of 1 unit of measurement of LDL, HDL, and triglycerides increased the chance of inflammation-aging by 1.5%, 4.1%, and 0.9%, respectively, while the oldest old (≥ 80 years old) had an 84.9% chance of presenting inflamm-aging in relation to non-long-lived older people (< 80 years). The association between biochemical markers and inflamm-aging demonstrates a relationship between endothelial injury and the inflammatory state. In addition, the presence of a greater amount of fat in the blood may present a higher relative risk of death.

Prevalence and the factors associated with oral anticoagulant use among nursing home residents.

WHAT IS KNOWN AND OBJECTIVE: Anticoagulants are indicated for treatment and prevention of several clinical conditions. Prior studies have examined anticoagulant utilization for specific indications and in community-dwelling populations. Decision-making regarding anticoagulant prescribing in the nursing home setting is particularly challenging because advanced age and clinical complexity places most residents at increased risk for adverse drug events. To estimate the prevalence of oral anticoagulant (OAC) use (overall, warfarin, direct oral anticoagulants (DOACs)) and identify factors associated with oral anticoagulant use among the general population of residents living in nursing homes. METHODS: This point prevalence study was conducted among 506,482 residents in US nursing homes on 31 October 2016 who were enrolled in Medicare fee-for-service. Covariates including demographics, clinical conditions, medications, cognitive impairment and functional status were obtained from Minimum Data Set 3.0 assessments and Medicare Part A and D claims. Oral anticoagulant use was identified using dispensing dates and days supply information from Medicare Part D claims. Robust Poisson models estimated adjusted prevalence ratios (aPR) for associations between covariates and 1) any anticoagulant use, and 2) DOAC versus warfarin use. RESULTS AND DISCUSSION: Overall, 11.8% of residents used oral anticoagulants. Among users, 44.3% used DOACs. Residents with body mass index (BMI) ≥40 kg/m2 (aPR: 1.66; 95% CI: 1.61 -1.71), with functional dependency in activities of daily living, polypharmacy and higher CHA2 DS2 -VASc risk ischaemic stroke scores, had a higher prevalence of oral anticoagulant use. Women (aPR: 0.78; 95% CI: 0.76-0.79), residents with limited life expectancy (aPR 0.80; 95% CI: 0.76-0.83), those with moderate-to-severe cognitive impairment (aPR: 0.67; 95% CI: 0.65-0.68), those using NSAIDs or antiplatelets, and non-white racial/ethnic groups had a lower prevalence of anticoagulant use. Residents with higher levels of polypharmacy, BMI and age had a lower prevalence of DOAC use (versus warfarin). WHAT IS NEW AND CONCLUSION: Approximately one in eight general nursing home residents use oral anticoagulants and among oral anticoagulant users, only slightly more residents used warfarin than DOACs. The lower prevalence of anticoagulation among women and non-white racial/ethnic groups raises concerns of potential inequities in quality of care. Lower oral anticoagulant use among residents with limited life expectancy suggests possible deprescribing at the end of life. Further research is needed to inform resident-centred shared decision-making that explicitly considers treatment goals and individual-specific risks and benefits of anticoagulation at all stages of the medication use continuum.

Comparison of Medication Prescribing Before and After the COVID-19 Pandemic Among Nursing Home Residents in Ontario, Canada.

Importance: COVID-19 has had devastating effects on the health and well-being of older adult residents and health care professionals in nursing homes. Uncertainty about the associated consequences of these adverse effects on the use of medications common to this care setting remains. Objective: To examine the association between the COVID-19 pandemic and prescription medication changes among nursing home residents. Design, Setting, and Participants: This population-based cohort study with an interrupted time-series analysis used linked health administrative data bases for residents of all nursing homes (N = 630) in Ontario, Canada. During the observation period, residents were divided into consecutive weekly cohorts. The first observation week was March 5 to 11, 2017; the last observation week was September 20 to 26, 2020. Exposures: Onset of the COVID-19 pandemic on March 1, 2020. Main Outcomes and Measures: Weekly proportion of residents dispensed antipsychotics, benzodiazepines, antidepressants, anticonvulsants, opioids, antibiotics, angiotensin receptor blockers (ARBs), and angiotensin-converting enzyme (ACE) inhibitors. Autoregressive integrated moving average models with step and ramp intervention functions tested for level and slope changes in weekly medication use after the onset of the pandemic and were fit on prepandemic data for projected trends. Results: Across study years, the annual cohort size ranged from 75 850 to 76 549 residents (mean [SD] age, 83.4 [10.8] years; mean proportion of women, 68.9%). A significant increased slope change in the weekly proportion of residents who were dispensed antipsychotics (parameter estimate [ß] = 0.051; standard error [SE] = 0.010; P < .001), benzodiazepines (ß = 0.026; SE = 0.003; P < .001), antidepressants (ß = 0.046; SE = 0.013; P < .001), trazodone hydrochloride (ß = 0.033; SE = 0.010; P < .001), anticonvulsants (ß = 0.014; SE = 0.006; P = .03), and opioids (ß = 0.038; SE = 0.007; P < .001) was observed. The absolute difference in observed vs estimated use in the last week of the pandemic period ranged from 0.48% (for anticonvulsants) to 1.52% (for antipsychotics). No significant level or slope changes were found for antibiotics, ARBs, or ACE inhibitors. Conclusions and Relevance: In this population-based cohort study, statistically significant increases in the use of antipsychotics, benzodiazepines, antidepressants, anticonvulsants, and opioids followed the onset of the COVID-19 pandemic, although absolute differences were small. There were no significant changes for antibiotics, ARBs, or ACE inhibitors. Studies are needed to monitor whether changes in pharmacotherapy persist, regress, or accelerate during the course of the pandemic and how these changes affect resident-level outcomes.

Associations of BNT162b2 vaccination with SARS-CoV-2 infection and hospital admission and death with covid-19 in nursing homes and healthcare workers in Catalonia: prospective cohort study.

OBJECTIVE: To determine associations of BNT162b2 vaccination with SARS-CoV-2 infection and hospital admission and death with covid-19 among nursing home residents, nursing home staff, and healthcare workers. DESIGN: Prospective cohort study. SETTING: Nursing homes and linked electronic medical record, test, and mortality data in Catalonia on 27 December 2020. PARTICIPANTS: 28 456 nursing home residents, 26 170 nursing home staff, and 61 791 healthcare workers. MAIN OUTCOME MEASURES: Participants were followed until the earliest outcome (confirmed SARS-CoV-2 infection, hospital admission or death with covid-19) or 26 May 2021. Vaccination status was introduced as a time varying exposure, with a 14 day run-in after the first dose. Mixed effects Cox models were fitted to estimate hazard ratios with index month as a fixed effect and adjusted for confounders including sociodemographics, comorbidity, and previous medicine use. RESULTS: Among the nursing home residents, SARS-CoV-2 infection was found in 2482, 411 were admitted to hospital with covid-19, and 450 died with covid-19 during the study period. In parallel, 1828 nursing home staff and 2968 healthcare workers were found to have SARS-CoV-2 infection, but fewer than five were admitted or died with covid-19. The adjusted hazard ratio for SARS-CoV-2 infection after two doses of vaccine was 0.09 (95% confidence interval 0.08 to 0.11) for nursing home residents, 0.20 (0.17 to 0.24) for nursing home staff, and 0.13 (0.11 to 0.16) for healthcare workers. Adjusted hazard ratios for hospital admission and mortality after two doses of vaccine were 0.05 (0.04 to 0.07) and 0.03 (0.02 to 0.04), respectively, for nursing home residents. Nursing home staff and healthcare workers recorded insufficient events for mortality analysis. CONCLUSIONS: Vaccination was associated with 80-91% reduction in SARS-CoV-2 infection in all three cohorts and greater reductions in hospital admissions and mortality among nursing home residents for up to five months. More data are needed on longer term effects of covid-19 vaccines.

Depression, combined visual and hearing impairment (dual sensory impairment): a hidden multi-morbidity among the elderly in Residential Care in India.

To report the prevalence of depression and its association with combined visual (VI) and hearing impairment (HI) in the elderly in residential care in India. Participants aged ≥ 60 years were recruited from 41 homes. Data on personal and sociodemographic information were obtained. Visual acuity was measured using the logMAR chart. Patient Health Questionnaire (PHQ-9) was used to assess depression, and the Hearing Handicap Inventory for the Elderly Screening (HHIE) was administered to assess hearing status. Data of all 867 eligible elderly participants were analysed. The mean age of the participants was 74.2 years (standard deviation: 8.2 years) and included 537 (61.9%) women and 117 (13.5%) participants who had no education. The prevalence of depression was 60.0% (95% CI: 45.2-73.4) in the elderly with combined VI and HI compared to 20.9% (95% CI:14.4-28.8) among those with VI only and 37.8% (95% CI: 26.6-46.5) among those with HI only. On multiple logistic regression analyses, depression was approximately 5 times higher among the participants with DSI after adjusting for other covariates. Six out of ten elderly with combined HI and VI had depression highlighting the need for screening and referral when elderly present with combined vision and hearing loss.