Concurrent and Predictive Validity of FRAIL-NH in Hospitalized Older Persons: An Exploratory Study

ObjectivesThe FRAIL-NH was originally developed for frailty assessment of nursing home (NH) residents. We aimed to compare concurrent, predictive, and known-groups validity between FRAIL-NH and FRAIL, using the Frailty Index (FI) as gold standard reference. We also examined for ceiling effect of both measures in the detection of severe frailty.DesignA secondary analysis of a prospective cohort study.Setting & ParticipantsOlder adults (mean age 89.4 years) hospitalized for an acute medical illness in a 1300-bed tertiary hospital.MeasurementsBaseline data on demographics, comorbidities, severity of illness, functional status, and cognitive status were gathered. We also captured outcomes of mortality, length of stay (LOS), institutionalization, and functional decline. For concurrent validity, we compared areas under the operating characteristic curves (AUCs) for both measures against the FI. For predictive validity, univariate analyses and multiple logistic regression were used to compare both measures against the adverse outcomes of interest. For known-groups validity, we compared both measures against comorbidities and functional status via 1-way analysis of variance, and dementia diagnosis via independent t test. Box plots were also derived to investigate for possible ceiling effect.ResultsBoth measures had good concurrent validity (both AUC > 0.8 and P < .001), with FRAIL-NH detecting more frailty cases (79.5% vs 50.0%). Although FRAIL-frail was superior for in-hospital mortality [6.7% vs 1.0%, P = .031, odds ratio (OR) 9.29, 95% confidence interval (CI) 1.09-79.20, P < .042] and LOS (10 vs 8 days, P = .043), FRAIL-NH-frail better predicted mortality (OR 6.62, 95% CI 1.91-22.94, P = .003) and institutionalization (OR 6.03, 95% CI 2.01-18.09, P = .001) up to 12 months postenrollment. Known-groups validity was good for both measures with FRAIL-NH yielding greater F values for functional status and dementia. Lastly, box plots revealed a ceiling effect for FRAIL in the severely frail group.Conclusions and ImplicationsThis exploratory study highlights the potential for expanding the role of FRAIL-NH beyond NH to acute care settings. Contrasted to FRAIL, FRAIL-NH had better overall validity with less ceiling effect in discrimination of severe frailty.     

Does Public Reporting of Staffing Ratios and Nursing Home Compare Ratings Matter?

ObjectivePublic reporting is a policy to improve quality and increase data transparency. The objective was to examine the association between publicly available staffing ratios and the Five-Star Quality Ratings from Nursing Home Compare over time.DesignPanel data analysis.Setting and ParticipantsAbout 146 nursing homes with complete quarterly data in New Jersey between January 1, 2012, and December 31, 2019.MethodsUsing data from the State of New Jersey Department of Health and Nursing Home Compare, staff-to-resident ratios were trended for registered nurses, licensed practical nurses, and certified nursing assistants by shift and over time. Panel data analysis was used to test the association between the ratios and the ratings.ResultsCompared to 2012, staffing ratios improved slightly for licensed practical nurses but not for registered nurses or certified nursing assistants in 2019 (P < .001). The number of residents assigned doubled at night for all personnel. During the day and evening shifts, registered nurse staffing was significantly associated with the Nursing Home Compare staffing rating (P < .01) but not the overall rating.Conclusions and ImplicationsDecreasing the number of residents assigned to a registered nurse in NHs results in an increase in staffing ratings. Mandatory public reporting holds nursing homes accountable for quality outcomes but does not improve staffing ratios. Quality resident care is the cumulative result of multiple measures inclusive of staffing; therefore, administrators should continue to focus on improving quality in NHs, which may improve staffing ratios across shifts.     

Correction to: Health Literacy Within a Diverse Community-Based Cohort: The Multi-Ethnic Study of Atherosclerosis

Journal of Immigrant and Minority Health - The original version of this article unfortunately contained a typo in co-author name.     

Comparing Post-Acute Populations and Care in Veterans Affairs and Community Nursing Homes

ObjectiveThe quality of care provided by the US Department of Veterans Affairs (VA) is increasingly being compared to community providers. The objective of this study was to compare the VA Community Living Centers (CLCs) to nursing homes in the community (NHs) in terms of characteristics of their post-acute populations and performance on 3 claims-based (“short-stay”) quality measures.DesignObservational, cross-sectional.Setting and ParticipantsCLC and NH residents admitted from hospitals during July 2015–June 2016.MethodsCLC residents were compared with 3 NH populations: males, Veterans, and all NH residents. CLC and NH performance was compared on risk-adjusted claims-based measures: unplanned rehospitalizations and emergency department visits within 30 days of CLC or NH admission and successful discharge to the community within 100 days of NH admission.ResultsVeterans admitted from hospitals to CLCs (n = 23,839 Veterans/135 CLCs) were less physically impaired, less likely to have anxiety, congestive heart failure, hypertension, and dementia than Veterans (n = 241,177/14,818 NHs), males (n = 661,872/15,280 NHs), and all residents (n = 1,674,578/15,395 NHs) admitted to NHs from hospitals. Emergency department and successful discharge risk-adjusted rates of CLCs were statistically significantly better than those of NHs [mean (standard deviation): 8.3% (4.6%) and 67.7% (11.5%) in CLCs vs 11.9% (5.3%) and 57.0% (10.5%) in NHs, respectively]. CLCs had slightly worse rehospitalization rates [22.5% (6.2%) in CLCs vs 21.1% (5.9%) in NHs], but lower combined emergency department and rehospitalization rates [30.8% (0.8%) in CLCs vs 33.0% (0.7%) in NHs].Conclusions and ImplicationsCLCs and NHs serve different post-acute care populations. Using the same risk-adjusted NH quality metrics, CLCs provided better post-acute care than community NHs.     

Defining the Core Skills and Activities of the Attending Physician in Post-Acute and Long-Term Care

The American Board of Post-Acute and Long-Term Care Medicine (ABPLM) contracted with a psychometric firm to perform a 3-phase Job Analysis following best practices. Literature was reviewed, a task force of subject matter experts was convened, a survey was developed and sent via Survey Monkey to attending physicians practicing in post-acute and long-term care settings (PALTC). The task force refined a comprehensive list of the tasks, knowledge, and medical knowledge needed in the role of attending physician in PALTC. These items were written as statements and edited until consensus was reached on their accuracy, conciseness, and lack of overlap. Task statements described distinct, identifiable, and specific practice-related activities relevant across multiple care settings. Knowledge statements described previously acquired information considered necessary to effectively perform such tasks. The survey consisted of 260 items, including 21 demographic questions, 115 task statements, 73 knowledge statements, and 72 medical knowledge statements. The survey was disseminated via e-mail invitations to Society for Post-Acute and Long-Term Care (AMDA) members and through an online link available through ABPLM’s website. A total of 389 respondents participated. Survey data were analyzed with statistical analysis software SPSS. For each task and knowledge statement, an Overall Task Rating and Knowledge Rating were developed by combining the importance rating weighted at 65% and (for task) the frequency rating or (for knowledge) the cognitive level weighted at 35%. One task statement and 1 medical knowledge statement had a mean importance rating lower than 2.5 and were dropped from further review, resulting in a final count of 114 task, 73 knowledge, and 71 medical knowledge statements (258 total). The results of this Job Analysis highlight the unique and specific nature of medical care provided by attending physicians across a range of PALTC settings. These findings lay a foundation for Focused Practice Designation or Subspecialty in PALTC and changes in practice and policy.     

Younger Nursing Home Residents: A Scoping Review of Their Lived Experiences,Needs, and Quality of Life

ObjectivesThe percentage of younger nursing home (NH) residents (ages 18–64 years) in some countries such as the United States and Canada has been increasing over the years. In fact, it is generally held that younger NH residents are considerably different from the older residents (age ≥65 years). There is a need to understand who they are, why they resided in NHs, and their quality of life (QoL). The aims of the study were to describe the experiences, needs, and QoL among younger residents living in NHs.DesignScoping review.Settings and Participants(Younger) Residents of NHs.MethodsFive databases (PubMed, CINAHL, PsycINFO, Web of Science, and Scopus) and Google Scholar were used to search for relevant studies. PRISMA diagram was used to guide this scoping review.ResultsThe key findings of the study cover 5 themes: (1) Confinement, (2) Lack of socialization, (3) Lack of privacy, (4) Lack of appropriate settings, and (5) Loss of identity, as well as results of QoL were generated.Conclusions and ImplicationsThis scoping review provides a deeper understanding of the lived experiences, needs, and QoL among younger NH residents. The results provide suggestions for future studies regarding new interventions to optimize the QoL of NH residents.     

Clustering 5-Year Multidimensional Health Care Trajectory Patterns in Alzheimer's Disease and Related Syndromes

ObjectiveAfter diagnosis of Alzheimer's disease and related syndromes (ADRS), personalized care adapted to each patient's needs is recommended to provide a care plan and start symptomatic treatments according to guidelines. Over the past decade, dedicated structures and care have been implemented in various settings. Equal access to ADRS care, health care providers and services is crucial to ensure potential health benefits for everyone. However, the extent of use of recommended services and favorable health care utilization trajectories (HUT) may vary according to individual and contextual characteristics. The aim of this article was to (1) describe HUT patterns after multidimensional clustering of similar trajectories, (2) assess the proportion of individuals presenting favorable HUTs, and (3) identify factors associated with favorable HUTs.DesignCohort study.Setting and participantsA cohort of 103,317 people newly diagnosed with ADRS identified in the French health reimbursement system (SNDS) was followed for 5 years with their monthly utilization on 11 health care dimensions.MethodsFor 3 age groups (65–74, 75–84, ≥85 years), 15 clusters of patients were identified using partitioning around medoids applied to Levenshtein distances. They were qualitatively assessed by pluridisciplinary experts. Individual and contextual determinants of clusters denoting favorable trajectories were identified using mixed random effects multivariable logistic regression models.ResultsClusters with favorable HUTs denoting slow, progressive trajectories centered on at-home care, represented approximatively 25% of the patients. Determinants of favorable HUTs were mostly individual (age, female gender, absence of certain comorbidities, circumstances of ADRS identification, lower deprivation). Contextual determinants were also identified, in particular accessibility to nurses and nursing homes. Inter-territories variance was small but significant in all age groups (from 0.9% to 1.8%).Conclusion and implicationsFavorable HUTs remain the minority and many efforts can still be made to improve HUTs. Qualitative studies could help understanding underlying barriers to favorable HUTs.     

老年性痴呆患者隐匿性肺炎风险预测模型的构建和验证

 目的 分析老年性痴呆患者隐匿性肺炎的危险因素并构建预测模型。方法 回顾性分析2019年1月—2020年12月安徽医科大学第三附属医院收治的明确诊断为老年性痴呆合并肺部感染患者病历资料,从确诊患者中随机挑选部分患者作为建模组,并根据是否具备隐匿性分为隐匿性肺炎组、非隐匿性肺炎组,其余病例作为验证组。分别采用单因素和logistic回归多因素分析老年痴呆患者发生隐匿性肺炎的危险因素,应用R4.0.3软件构建nomogram图并对模型进行验证。结果 共纳入216例患者。其中148例（隐匿性肺炎75例、非隐匿性肺炎73例）用于建模,68例（隐匿性肺炎37例、非隐匿性肺炎31例）用于验证。糖尿病（OR=2.565,95%CI：1.094~6.015）、重度痴呆（OR=3.079,95%CI：1.116~8.494）、痴呆病程≥10年（OR=5.782,95%CI：2.139~15.627）、年龄≥80岁（OR=2.737,95%CI：1.011~7.413）、长期卧床（OR=4.835,95%CI：1.716~13.625）为痴呆合并隐匿性肺炎的独立危险因素（均P<0.05）。通过该5项危险因素构建预测模型并进行验证,验证结果显示：建模组曲线下面积（AUC）为0.841,验证组AUC为0.756,提示该模型诊断能力良好;Hosmer-Lemeshow检验显示模型拟合优度良好;decision曲线分析显示该模型有较高的获益性。结论 年龄≥80岁、重度痴呆、痴呆病程≥10年、糖尿病、长期卧床是老年性痴呆患者发生隐匿性肺炎的独立危险因素,通过列线图模型个体化可预测老年性痴呆患者发生隐匿性肺炎的概率,从而尽早干预,改善预后。