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1.
ObjectiveTo determine if nursing home (NH) resident characteristics associated with potentially preventable emergency department transfers (PPEDs) are similarly associated with non–potentially preventable emergency department transfers (non-PPEDs).DesignWe conducted a population-level retrospective cohort study using linked administrative data reported using the Resident Assessment Instrument–Minimum Data Set Version 2.0 and the National Ambulatory Care Reporting System for emergency department transfers.Setting and ParticipantsWe assessed all NH residents transferred to the emergency department within 92 days after admission. The cohort included 56,433 NH resident admissions assessment of which 3498 NH residents experienced PPEDs, and 9331 residents experienced non-PPEDs.MethodsWe assessed Ontario NH residents admission assessments collected between January 1, 2017, and December 31, 2018. We used cumulative incidence functions and Cox regression to compare resident characteristics between residents experiencing PPEDs and non-PPEDs. PPEDs were defined based on the International Classification of Diseases, 10th Revision.ResultsApproximately 23% of residents experienced an emergency department transfer within 92 days of NH admission. The cumulative incidence of PPEDs was 6.3% and non-PPEDs was 16.8%. After adjusting for clinically relevant features, 14 of 18 resident admission characteristics were associated with both types of transfers. Resident admission characteristics associated with a greater risk of PPEDs solely were pneumonia [hazard ratio (HR) 1.48; CI 1.25–1.70] and oxygen therapy (HR 1.88; CI 1.69–2.10). Resident admission characteristics associated with a greater risk of non-PPEDs solely are experiencing a change in mood (HR 1.09; CI 1.01–1.18) and delirium (HR 1.08; CI 1.04–1.13).Conclusions and ImplicationsPPEDs were associated with a similar cluster of NH resident characteristics as those transferred for non-ambulatory reasons, suggesting that the clinical distinction between PPEDs vs non-PPEDs within the NH might be unclear. These findings highlight that the PPED indicator could be revised to improve specificity.  相似文献   

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ObjectivesLong term care (LTC) residents commonly experience transitions between health care settings that can have important health consequences. The objective of this study was to quantify the effect of recent transitions on the risk of emergency department (ED) transfer among chronic LTC residents. Two types of transitions were considered: admission into LTC and discharge from hospital.DesignRetrospective cohort study using linked administrative data from Ontario, Canada.ParticipantsAll chronic LTC residents in Ontario older than 66 years on the date of the 2005 provincial LTC facility census.MeasurementsUsing facility census date as baseline, admission to LTC was defined as the number of days between LTC admission and baseline. Residents were categorized as one of: newly admitted (≤30 days), shorter-stay (31–90 days), or longer-stay (≥91 days). Within each group, residents were further subdivided based on having had a recent discharge from hospital. The first ED visit for each resident during the 6-month follow-up was counted, as were death and other competing risks. The cumulative incidence of ED transfer for each group was estimated and logistic regression was used to test whether differences between groups persisted after controlling for resident characteristics.ResultsOf the 64,589 residents, 3.0% were newly admitted, 4.9% were shorter-stay, and 92.1% were longer-stay. The 6-month cumulative incidences of ED transfers were 35.0% for newly admitted, 30.7% for shorter-stay, and 22.0% for longer-stay. The odds of an ED transfer were higher for newly admitted and shorter-stay residents relative to longer-stay residents, even after adjustment for resident characteristics (adjusted odds ratio, 95% confidence interval 1.9, 1.7–2.1; and 1.5, 1.4–1.7, respectively). Regardless of time since LTC admission, residents with a recent discharge from hospital had a cumulative incidence of nearly 40% and an increase in the odds of ED transfer of at least 50% compared with those who had not been in hospital.ConclusionsHealth care transitions, especially those from hospital, are associated with an increase in ED transfers among older chronic LTC residents. These findings highlight the need for a stronger focus on transitional care, especially posthospital care, for LTC residents.  相似文献   

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ObjectivesTo determine the factors associated with the potentially inappropriate transfer of nursing home (NH) residents to emergency departments (EDs) and to compare hospitalization costs before and after transfer of individuals addressed inappropriately vs those addressed appropriately.DesignMulticenter, observational, case-control study.Setting and Participants17 hospitals in France, 1037 NH residents.MeasuresAll NH residents transferred to the 17 public hospitals' EDs in southern France were systematically included for 1 week per season. An expert panel composed of family physicians, emergency physicians, geriatricians, and pharmacists defined whether the transfer was potentially inappropriate or appropriate. Residents' and NHs' characteristics and contextual factors were entered into a mixed logistic regression to determine factors associated independently with potentially inappropriate transfers. Hospital costs were collected in the national health insurance claims database for the 6 months before and after the transfer.ResultsA total of 1037 NH residents (mean age 87.2 ± 7.1, 68% female) were transferred to the ED; 220 (21%) transfers were considered potentially inappropriate. After adjustment, anorexia [odds ratio (OR) 2.41, 95% confidence interval (CI) 1.57-3.71], high level of disability (OR 0.90, 95% CI 0.81-0.99), and inability to receive prompt medical advice (OR 1.67, 95% CI 1.20-2.32) were significantly associated with increased likelihood of potentially inappropriate transfers. The existence of an Alzheimer's disease special care unit in the NH (OR 0.66, 95% CI 0.48-0.92), NH staff trained on advance directives (OR 0.61, 95% CI 0.41-0.89), and calling the SAMU (mobile emergency medical unit) (OR 0.47, 95% CI 0.34-0.66) were significantly associated with a lower probability of potentially inappropriate transfer. Although the 6-month hospitalization costs prior to transfer were higher among potentially inappropriate transfers compared with appropriate transfers (€6694 and €4894, respectively), transfer appropriateness was not significantly associated with hospital costs.Conclusions and ImplicationsTransfers from NHs to hospital EDs were frequently appropriate. Transfer appropriateness was conditioned by NH staff training, access to specialists’ medical advice, and calling the SAMU before making transfer decisions.Trial Registrationclinicaltrials.gov, NCT02677272.  相似文献   

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ObjectivePrevious studies report higher hospitalization rates in for-profit compared with nonprofit long-term care facilities (LTCFs), but have not included staffing data, a major potential confounder. Our objective was to examine the effect of ownership on hospital admission rates, after adjusting for facility staffing levels and other facility and resident characteristics, in a large Canadian province (British Columbia).DesignRetrospective cohort study.Setting and ParticipantsOur cohort included individuals resident in a publicly funded LTCF in British Columbia at any time between April 1, 2012 and March 31, 2016.MeasuresHealth administrative data were extracted from multiple databases, including continuing care, hospital discharge, and Minimum Data Set (MDS 2.0) assessment records. Cox extended hazards regression was used to estimate hospitalization risk associated with facility- and resident-level factors.ResultsThe cohort included 49,799 residents in 304 LTCF facilities (116 publicly owned and operated, 99 for-profit, and 89 nonprofit) over the study period. Hospitalization risk was higher for residents in for-profit (adjusted hazard ratio [adjHR] 1.34; 95% confidence interval [CI] 1.29–1.38) and nonprofit (adjHR 1.37; 95% CI 1.32–1.41) facilities compared with publicly owned and operated facilities, after adjustment for staffing, facility size, urban location, resident demographics, and case mix. Within subtypes, risk was highest in single-site facilities: for-profit (adjHR 1.42; 95% CI 1.36–1.48) and nonprofit (adjHR 1.38, 95% CI 1.33–1.44).Conclusions and ImplicationsThis is the first Canadian study using linked health data from hospital discharge records, MDS 2.0, facility staffing, and ownership records to examine the adjusted effect of facility ownership characteristics on hospital use of LTCF residents. We found significantly lower adjHRs for hospital admission in publicly owned facilities compared with both for-profit and nonprofit facilities. Our finding that publicly owned facilities have lower hospital admission rates compared with for-profit and nonprofit facilities can help inform decision-makers faced with the challenge of optimizing care models in both nursing homes and hospitals as they build capacity to care for aging populations.  相似文献   

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ObjectivesTo examine the relationship between AL communities' distance to the nearest hospital and residents’ rates of emergency department (ED) use. We hypothesize that when access to an ED is more convenient, as measured by a shorter distance, assisted living (AL)-to-ED transfers are more common, particularly for nonemergent conditions.DesignRetrospective cohort study, where the main exposure of interest was the distance between each AL and the nearest hospital.Setting and Participants2018-2019 Medicare claims were used to identify fee-for-service Medicare beneficiaries aged ≥55 years residing in AL communities.MethodsThe primary outcome of interest was ED visit rates, classified into those that resulted in an inpatient hospital admission and those that did not (ie, ED treat-and-release visits). ED treat-and-release visits were further classified, based on the NYU ED Algorithm, as (1) nonemergent; (2) emergent, primary care treatable; (3) emergent, not primary care treatable; and (4) injury-related. Linear regression models adjusting for resident characteristics and hospital referral region fixed effects were used to estimate the relationship between distance to the nearest hospital and AL resident ED use rates.ResultsAmong 540,944 resident-years from 16,514 AL communities, the median distance to the nearest hospital was 2.5 miles. After adjustment, a doubling of distance to the nearest hospital was associated with 43.5 fewer ED treat-and-release visits per 1000 resident years (95% CI −53.1, −33.7) and no significant difference in the rate of ED visits resulting in an inpatient admission. Among ED treat-and-release visits, a doubling of distance was associated with a 3.0% (95% CI −4.1, −1.9) decline in visits classified as nonemergent, and a 1.6% (95% CI −2.4%, −0.8%) decline in visits classified as emergent, not primary care treatable.Conclusions and ImplicationsDistance to the nearest hospital is an important predictor of ED use rates among AL residents, particularly for visits that are potentially avoidable. AL facilities may rely on nearby EDs to provide nonemergent primary care to residents, potentially placing residents at risk of iatrogenic events and generating wasteful Medicare spending.  相似文献   

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ObjectivesWidespread antimicrobial misuse among nursing home (NH) residents with advanced dementia raises concerns regarding the emergence of multidrug-resistant organisms and avoidable treatment burden in this vulnerable population. The objective of this report was to identify facility and resident level characteristics associated with receipt of antimicrobials in this population.DesignCross-sectional analysis of baseline data from the Trial to Reduce Antimicrobial use in Nursing home residents with Alzheimer's disease and other Dementias (TRAIN-AD).Setting and ParticipantsTwenty-eight Boston area NHs, 430 long stay NH residents with advanced dementia.MeasuresThe outcome was the proportion of residents who received any antimicrobials during the 2 months prior to the start of TRAIN-AD determined by chart review. Multivariable logistic regression was used to identify resident and facility characteristics associated with this outcome.ResultsA total of 13.7% of NH residents with advanced dementia received antimicrobials in the 2 months prior to the start of TRAIN-AD. Residents in facilities with the following characteristics were significantly more likely to receive antimicrobials: having a full time nurse practitioner/physician assistant on staff [adjusted odds ratio (aOR) 3.02; 95% confidence interval (CI), 1.54, 5.94], fewer existing infectious disease practices (eg, antimicrobial stewardship programs, established algorithms for infection management) (aOR, 2.35; 95% CI 1.14, 4.84), and having fewer residents with severely cognitively impaired residents (aOR 1.96; 95% CI 1.12, 3.40). No resident characteristics were independently associated with receipt of antimicrobials.Conclusions and ImplicationsFacility-level characteristics are associated with the receipt of antimicrobials among residents with advanced dementia. Implementation of more intense infectious disease practices and targeting the prescribing practices of nurse practitioners/physician assistants may be critical targets for interventions aimed at reducing antimicrobial use in this population.  相似文献   

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ObjectivesThe use of anticholinergics, antipsychotics, benzodiazepines, and other potentially harmful medications (PHMs) is associated with particularly poor outcomes in nursing home (NH) residents with Alzheimer's disease and related dementias (ADRD). Our objective was to compare PHM prescribing by NH physicians and advanced practitioners who focus their practice on NH residents (NH specialists) vs non-NH specialists.DesignRetrospective cohort study.Setting and ParticipantsWe included a 20% random sample of Medicare beneficiaries with ADRD who resided in 12,278 US NHs in 2017. Long-stay NH residents with ADRD were identified using MDS, Medicare Parts A and B claims. Residents <65 years old or without continuous Part D coverage were excluded.MethodsPhysicians in generalist specialties and advanced practitioners with ≥90% of Part B claims for NH care were considered NH specialists. Residents were assigned to NH specialists vs non-NH specialists based on plurality of Part D claims submitted for that resident. Any PHM use (defined using the Beers Criteria) and the proportion of NH days on a PHM were modeled using generalized estimating equations. Models included resident demographics, clinical characteristics, cognitive and functional status, behavioral assessments, and facility characteristics.ResultsOf the 54,713 residents in the sample, 27.9% were managed by an NH specialist and 72.1% by a non-NH specialist. There was no statistically significant difference in any PHM use [odds ratio (OR) 0.97, 95% CI 0.93-1.02, P = .23]. There were lower odds of prolonged PHM use (OR 0.87, 95% CI 0.81-0.94, P < .001, for PHM use on >75% vs >0%-<25% of NH days) for NH specialists vs non-NH specialists.Conclusions and ImplicationsAlthough the use of PHMs among NH residents with ADRD managed by NH specialists was not lower, they were less likely to receive PHMs over longer periods of time. Future work should evaluate the underlying causes of these differences to inform interventions to improve prescribing for NH residents.  相似文献   

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ObjectivesThe association of race, ethnicity, and socioeconomic factors with survival rates of nursing home (NH) residents with treated end-stage renal disease (ESRD) is unclear. We examined whether race/ethnicity, ZIP code–level, and individual-level indicators of poverty relate to mortality of NH residents on dialysis.DesignRetrospective cohort study.Participants/SettingUsing the United States Renal Data System database, we identified 56,194 nursing home residents initiated on maintenance dialysis from January 1, 2007 through December 31, 2013, followed until May 31, 2014.MeasurementsWe evaluated baseline characteristics of the NH cohort on dialysis, including race and ethnicity. We assessed the Medicare-Medicaid dual eligibility status as an indicator of individual-level poverty and ZIP code–level median household income (MHI) data. We conducted Cox regression analyses with all-cause mortality as the outcome variable, adjusted for clinical and sociodemographic factors including end-of-life preferences.ResultsAdjusted Cox analysis showed a significantly lower risk of death among black vs nonblack NH residents [adjusted hazard ratio (AHR) 0.91, 95% confidence interval (CI) 0.89, 0.94]. Dual-eligibility status was significantly associated with lower risk of death compared to those with Medicare alone (AHR 0.80, 95% CI 0.78, 0.82). Compared to those in higher MHI quintile levels, NH ESRD patients in the lowest quintile were significantly associated with higher risk of death (AHR 1.09, 95% CI 1.06, 1.13).Conclusions/ImplicationsBlack and Hispanic NH residents on dialysis had an apparent survival advantage. This “survival paradox” occurs despite well-documented racial/ethnic disparities in ESRD and NH care and warrants further exploration that could generate new insights into means of improving survival of all NH residents on dialysis. Area-level indicator of poverty was independently associated with mortality, whereas dual-eligibility status for Medicare and Medicaid was associated with lower risk of death, which could be partly explained by improved access to care.  相似文献   

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ObjectivesTo investigate the course of depressive symptoms in newly admitted nursing home (NH) residents and how resident characteristics were associated with the symptoms. To identify groups of residents following the same symptom trajectory.DesignAn observational, multicenter, longitudinal study over 36 months with 7 biannual assessments.Setting and ParticipantsRepresenting 47 Norwegian NHs, 696 residents were included at admission to a NH.MethodsDepressive symptoms were assessed with the Cornell Scale for Depression in Dementia (CSDD). We selected severity of dementia, functional impairment, physical health, pain, use of antidepressants, age, and sex as covariates. Time trend in CSDD score was assessed by a linear mixed model adjusting for covariates. Next, a growth mixture model was estimated to investigate whether there were groups of residents following distinct trajectories in CSDD scores. We estimated a nominal regression model to assess whether the covariates at admission were associated to group membership.ResultsThere was a nonlinear trend in CSDD score. More severe dementia, a lower level of functioning, poorer physical health, more pain, use of antidepressants, and younger age at admission were associated with higher CSDD scores. Growth mixture model identified 4 groups: (1) persistent mild symptoms (32.6%), (2) persistent moderate symptoms (50.8%), (3) increasing symptoms (5.1%), and (4) severe but decreasing symptoms (11.6%). A lower level of functioning, poorer physical health, more pain, use of antidepressants, and younger age at admission were associated with higher odds for belonging to the severe but decreasing symptoms group compared with the persistent mild symptoms group.Conclusions and ImplicationsMost NH residents were in trajectory groups with persistent mild or moderate depressive symptoms. Residents with more severe dementia, lower levels of functioning, poor physical health, severe pain, younger age at admittance, and who are using antidepressants should be monitored closely and systematically with respect to depression. Taking actions toward a more personalized treatment for depression in NHs is a priority and should be investigated in future studies.  相似文献   

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ObjectiveTo determine which nursing home (NH) resident characteristics were most important to clinicians' decision to prescribe antibiotics for a suspected urinary tract infection (UTI), including both evidence-based and non-evidence-based characteristics.DesignWeb-based discrete choice experiment with 19 clinical scenarios. For each scenario, clinicians were asked whether they would prescribe an antibiotic for a suspected UTI.SettingOnline survey.ParticipantsConvenience sample of 876 NH physicians and advanced practice providers who practiced primary care for NH residents in the United States.MethodsEach scenario varied information about 10 resident characteristics regarding urinalysis results, resident temperature, lower urinary tract symptoms, physical examination, antibiotic request, mental status, UTI risk, functional status, goals of care, and resident type. We derived importance scores for the characteristics and odds ratios (ORs) for specific information related to each characteristic from a multinomial logistic regression.ResultsApproximately half of the participants were male (56%) with a mean age of 49 years. Resident characteristics differed in their importance (ie, part-worth utility) when deciding whether to prescribe for a suspected UTI: urinalysis results (32%), body temperature (17%), lower urinary tract symptoms (17%), physical examination (15%), antibiotic request (7%), mental status (4%), UTI risk (4%), functional status (3%), goals of care (2%), and resident type (1%). Information about “positive leukocyte esterase, positive nitrates” was associated with highest odds of prescribing [OR 19.6, 95% confidence interval (CI) 16.9, 22.7], followed by “positive leukocyte esterase, negative nitrates” (OR 6.7, 95% CI 5.8, 7.6), and “painful or difficult urination” (OR 4.8, 95% CI 4.2, 5.5).Conclusions and ImplicationsAlthough guidelines focus on lower urinary tract symptoms, body temperature, and physical examination for diagnosing a UTI requiring antibiotics, these characteristics were considered less important than urinalysis results, which have inconsistent clinical utility in NH residents. Point-of-care clinical decision support offers an evidence-based prescribing process.  相似文献   

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ObjectivesQuantify how observable characteristics contribute to influenza vaccination disparities among White, Black, and Hispanic nursing home (NH) residents.DesignRetrospective cohort.Setting and ParticipantsShort- and long-stay U.S. NH residents aged ≥65 years.MethodsWe linked Minimum Data Set (MDS) and Medicare data to LTCFocUS and other facility data. We included residents with 6-month continuous enrollment in Medicare and an MDS assessment between October 1, 2013, and March 31, 2014. Residents were classified as short-stay (<100 days in NH) or long-stay (≥100 days in NH). We fit multivariable logistic regression models to assess the relationships between 27 resident and NH-level characteristics and receipt of influenza vaccination. Using nonlinear Oaxaca-Blinder decomposition, we decomposed the disparity in influenza vaccination between White versus Black and White versus Hispanic NH residents. Analyses were repeated separately for short- and long-stay residents.ResultsOur study included 630,373 short-stay and 1,029,593 long-stay residents. Proportions vaccinated against influenza included 67.2% of White, 55.1% of Black, and 54.5% of Hispanic individuals among short-stay residents and 84.2%, 76.7%, and 80.8%, respectively among long-stay residents. Across 4 comparisons, the crude disparity in influenza vaccination ranged from 3.4 to 12.7 percentage points. By equalizing 27 prespecified characteristics, these disparities could be reduced 37.7% to 59.2%. Living in a predominantly White facility and proxies for NH quality were important contributors across all analyses. Characteristics unmeasured in our data (eg, NH staff attitudes and beliefs) may have also contributed significantly to the disparity.Conclusions and ImplicationsThe racial/ethnic disparity in influenza vaccination was most dramatic among short-stay residents. Intervening on factors associated with NH quality would likely reduce these disparities; however, future qualitative research is essential to explore potential contributors that were unmeasured in our data and to understand the degree to which these factors contribute to the overall disparity in influenza vaccination.  相似文献   

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ObjectivesClostridioides difficile infection is a major source of morbidity and mortality among frail older adults, especially those in nursing homes (NHs). Safety reports have signaled that bisphosphonate use may be a contributing cause. We therefore evaluated the risk of C difficile hospitalization associated with oral bisphosphonate use in the NH.DesignObservational, retrospective new-user cohort study.SettingThe cohort included US NH residents aged ≥65 years who became a long-stay resident (>100 days in the NH) between January 1, 2008 and December 31, 2009.MethodsWe conducted a study of NH residents using linked Medicare claims and Minimum Data Set records. Residents were new users of an oral bisphosphonate 1:1 matched to new calcitonin users (“active” comparator) on propensity scores controlling for more than 100 covariates. The outcome was risk of hospitalization for C difficile infection in a Cox proportional hazards model adjusted for previous antibiotic and proton pump inhibitor use.ResultsOur final analytical cohort included 17,753 bisphosphonate and 5348 calcitonin users. In the matched cohort, 84/5209 (1.6%) vs 71/5209 (1.4%) C difficile–related hospitalizations occurred in bisphosphonate and calcitonin users, respectively. We observed no significant difference in the risk of hospitalization among bisphosphonate users (hazard ratio: 1.11, 95% confidence interval: 0.80-1.51). Antibiotic and proton pump inhibitor exposure before and after osteoporosis treatment was also similar between bisphosphonate and calcitonin users.Conclusions and ImplicationsC difficile infection should not be a consideration when prescribing bisphosphonates to frail older adults given the lack of a significant association.  相似文献   

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ObjectivesDuring the COVID-19 pandemic, no country with widespread community transmission has avoided outbreaks or deaths in residential aged care facilities (RACFs). As RACF residents are at high risk of morbidity and mortality from COVID-19, understanding disease severity risk factors is imperative.DesignThis retrospective cohort study aimed to compare COVID-19 disease severity (hospitalization and deaths) and associated risk factors among RACF residents in Victoria, Australia, across Delta and Omicron epidemic periods.Settings and ParticipantsResident case hospitalization risk (HR) and case fatality risk (CFR) were assessed using Victorian RACFs COVID-19 outbreaks data across 2 epidemic periods; Delta, 994 resident cases linked to 86 outbreaks; and Omicron, 1882 resident cases linked to 209 outbreaks.MethodsAdjusting for outbreak-level clustering, age, sex, up-to-date vaccination status, and time since last vaccination, the odds of hospitalization and death were compared using mixed effects logistic regression.ResultsThe HR and CFR was lower during the Omicron period compared with the Delta period [HR 8.2% vs 24.6%, odds ratio (OR) 0.17, 95% CI 0.11-0.26, and CFR: 11.4% vs 18.7%, OR 0.40, 95% CI 0.28-0.56]. During both periods, males had higher odds of hospitalization and odds of death; being up to date with vaccination reduced odds of hospitalization by 40% (excluding nonemergency patient transfers) and odds of death by 43%; and for each month since last vaccination, odds of hospitalization increased by 9% and odds of death by 16%.Conclusions and ImplicationsThis study provides empirical evidence of lower COVID-19 severity among RACF residents in the Omicron period and highlights the importance of up-to-date and timely vaccination to reduce disease severity in this cohort.  相似文献   

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ObjectivesStudies examining the effects of statins after acute myocardial infarction (AMI) excluded frail older adults, especially nursing home (NH) residents, and few examined functional outcomes. Older NH residents may benefit less from statins and be particularly susceptible to adverse drug events like myopathy-related functional decline. We evaluated the effects of statins on 1-year functional decline, rehospitalization, and death in NH residents.DesignWe conducted a retrospective cohort study using 2007-2010 linked national data from Minimum Data Set (MDS) assessments, Medicare claims, and Online Survey Certification and Reporting System records.Setting and ParticipantsWe included US NH residents 65 years and older who were statin nonusers, were hospitalized for AMI between May 2007 and March 2010, and returned to the NH.MeasuresOutcomes were functional decline, death, and rehospitalization in the first year after post-AMI NH admission. New statin users were 1:1 propensity-score matched to nonusers to adjust for 92 characteristics. We estimated hazard ratios (HRs) and restricted mean survival time differences with 95% confidence intervals (CIs) comparing individuals who did vs did not initiate statin therapy after AMI hospitalization.ResultsPropensity-score matching yielded a cohort of 5440 residents. Mean age was 83 years and 69% were female. Statin use was associated with a reduction in mortality (HR 0.80, 95% CI 0.73-0.87), corresponding to a mean of 15.9 (95% CI 9.9-22.0) days of extended life expectancy. No overall differences in rehospitalization (HR 1.06, 95% CI 0.98-1.14) or functional decline (HR 1.00, 95% CI 0.88-1.14) were observed.Conclusions and ImplicationsStatins may reduce 1-year mortality by 20% without affecting function among older NH residents who wish to live longer after AMI. During shared decision making with these patients or their representatives, clinicians should consider communicating that the average benefit of statins is 16 days of additional survival over 1 year.  相似文献   

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ObjectivesTo examine the association between nursing home (NH) quality and new onset of depression and severity of depressive symptoms in a national cohort of long-stay NH residents in the United States.DesignCohort study.Setting and participants129,837 long-stay residents without indicators of depression admitted to 13,921 NHs.MethodsNH quality was measured by Nursing Home Compare star ratings (overall, health inspection, staffing, quality measures) closest to admission. Study outcomes at 90 days from the Minimum Data Set 3.0 included depression diagnosis and severity of depressive symptoms (minimal; mild; moderate; moderately severe/severe). Symptoms were measured by resident self-report Patient Health Questionnaire (PHQ-9) or a staff-report observational version (PHQ-9-OV). Logistic and multinomial logistic models with generalized estimating equations were used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs).ResultsAt 90 days postadmission, 14.1% of residents had a new diagnosis of depression, and odds did not differ across star ratings. Nearly 90% of these residents had minimal depressive symptoms, with only 8.5% reporting mild symptoms and 2.6% with moderate to severe symptoms. Using minimal depressive symptoms as the reference, residents in NHs with 5-star overall ratings were 12% less likely than those in 3-star NHs to experience mild (95% CI: 0.81-0.96) and 31% less likely to experience moderate symptoms (95% CI: 0.58-0.82). In NHs with 1-star staffing compared to 3-star, residents had 37% higher odds of moderate symptoms (95% CI: 1.14-1.64) and 57% higher odds of moderately severe to severe depressive symptoms (95% CI: 1.17-2.12). The odds of any above-minimal depressive symptoms decreased as quality measure ratings increased.Conclusions/ImplicationsLower NH quality ratings were associated with more severe depressive symptoms. Further investigation is warranted to identify potential mechanisms for a targeted intervention to improve quality and provide more equitable care.  相似文献   

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ObjectiveCare home residents have high rates of hospital admission. The UK National Early Warning Score (NEWS2) standardizes the secondary care response to acute illness. However, the ability of NEWS2 to predict adverse health outcomes specifically for care home residents is unknown. This study explored the relationship between NEWS2 on admission to hospital and resident outcome 7 days later.DesignRepeated cross-sectional study.Setting and ParticipantsData on UK care home residents admitted to 160 hospitals in two 24-hour periods (2019 and 2020).MethodChi-squared and Kruskal-Wallis tests, and multinomial regression were used to explore the association between low (score ≤2), intermediate (3–4), high (5–6), and critically high (≥7) NEWS2 on admission and each of the following: discharge on day of admission, admission and discharge within 7 days, prolonged hospital admission (>7 days), and death.ResultsFrom 665 resident admissions across 160 hospital sites, NEWS2 was low for 54%, intermediate for 18%, high for 13%, and critically high for 16%. The 7-day outcome was 10% same-day discharge, 47% admitted and subsequently discharged, 34% remained inpatients, and 8% died. There is a significant association between NEWS2 and these outcomes (P < .001). Compared with those with low NEWS2, residents with high and critically high NEWS2 had 3.6 and 9.5 times increased risk of prolonged hospitalization [relative risk ratio (RRR) 3.56; 95% CI 1.02–12.37; RRR 9.47; CI 2.20–40.67], respectively. The risk of death was approximately 14 times higher for residents with high NEWS2 (RRR 13.62; CI 3.17–58.49) and 54 times higher (RRR 53.50; CI 11.03–259.54) for critically high NEWS2.Conclusion and ImplicationsHigher NEWS2 measurements on admission are associated with an increased risk of hospitalization up to 7 days duration, prolonged admission, and mortality for care home residents. NEWS2 may have a role as an adjunct to acute care decision making for hospitalized residents.  相似文献   

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ObjectivesNursing homes (NHs) are important health care and residential environments for the growing number of frail older adults. The COVID-19 pandemic highlighted the vulnerability of NHs as they became COVID-19 hotspots. This study examines the associations of NH design with COVID-19 cases, deaths, and transmissibility and provides relevant design recommendations.DesignA cross-sectional, nationwide study was conducted after combining multiple national data sets about NHs.Setting and ParticipantsA total of 7785 NHs were included in the study, which represent 50.8% of all Medicare and/or Medicaid NH providers in the United States.MethodsZero-inflated negative binomial models were used to predict the total number of COVID-19 resident cases and deaths, separately. The basic reproduction number (R0) was calculated for each NH to reflect the transmissibility of COVID-19 among residents within the facility, and a linear regression model was estimated to predict log(R0 – 1). Predictors of these models included community factors and NHs’ resident characteristics, management and rating factors, and physical environmental features.ResultsIncreased percentage of private rooms, larger living area per bed, and presence of a ventilator-dependent unit are significantly associated with reductions in COVID-19 cases, deaths, and transmissibility among residents. After setting the number of actual residents as the exposure variable and controlling for staff cases and other variables, increased number of certified beds in the NH is associated with reduced resident cases and deaths. It also correlates with reduced transmissibility among residents when other risk factors, including staff cases, are controlled.Conclusions and ImplicationsArchitectural design attributes have significant impacts on COVID-19 transmissions in NHs. Considering the vulnerability of NH residents in congregated living environments, NHs will continue to be high-risk settings for infection outbreaks. To improve safety and resilience of NHs against future health disasters, facility guidelines and regulations should consider the need to increase private rooms and living areas.  相似文献   

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