Prevalence of Vision Loss and Associations With Age-Related Eye Diseases Among Nursing Home Residents Aged ≥65 Years

ObjectivesTo examine data from Delaware nursing homes to determine prevalence of age-related eye diseases (AREDs), vision impairment, and blindness and to compare the findings with the results of 11 US investigations of vision and eye health in nursing homes.DesignThis is a cross-sectional, retrospective study of nursing home patients.Setting and ParticipantsTwenty nursing homes in Delaware participated in the study, yielding comprehensive eye examination records for 2019 study participants.MethodsSummary statistics and regression analyses.ResultsThe overall prevalence of vision impairment or blindness was 63.8% and was above 60% for each age, sex, and race category. Prevalence of vision impairment or blindness was 68.4% among patients with cataracts, 69.4% among patients with macular degeneration, 70.5% among patients with glaucoma, and 68.4% among patients with diabetic retinopathy. Prevalence of blindness was 14.1%. Among patients with AREDs, prevalence of blindness ranged from 15.0% for patients with cataracts to 22.6% for patients with diabetic retinopathy. When compared with other investigations, we found wide variation in vision and eye factors reported and wide variation in the prevalence of those factors. Only 4 studies diagnosed both AREDs and visual function. Seven studies reported AREDs, and 7 reported vision impairment and/or blindness. Vision impairment or blindness ranged from 29% to 67%; cataract ranged from 32% to 83%; macular degeneration ranged from 4.6% to 70.7%. Glaucoma ranged from 5.3% to 41.4%; diabetic retinopathy ranged from 1.7% to 3.1%.Conclusions and ImplicationsComprehensive eye examinations showed that vision impairment and blindness affected 63.8% of nursing home residents. Compared with other studies, there was a wide range of vision factors reported and wide variation in the prevalence of vision impairment or blindness and AREDs. This investigation suggests the importance of eye care in nursing homes and the importance of reporting standard vision and eye health factors to inform policy and practice.     

Decomposing Racial and Ethnic Disparities in Nursing Home Influenza Vaccination

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.     

Effects of Staff Training on Nursing Home Residents’ End-Of-Life Care: A Randomized Controlled Trial

ObjectivesThis trial examines the effects of end-of-life training on long-term care facility (LTCF) residents' health-related quality of life (HRQoL) and use and costs of hospital services.DesignA single-blind, cluster randomized (at facility level) controlled trial (RCT). Our training intervention included 4 small-group 4-hour educational sessions on the principles of palliative and end-of-life care (advance care planning, adverse effects of hospitalizations, symptom management, communication, supporting proxies, challenging situations). Training was provided to all members of staff. Education was based on constructive learning methods and included resident cases, role-plays, and small-group discussions.Setting and participantsWe recruited 324 residents with possible need for end-of-life care due to advanced illness from 20 LTCF wards in Helsinki.MethodsPrimary outcome measures were HRQoL and hospital inpatient days per person-year during a 2-year follow-up. Secondary outcomes were number of emergency department visits and cost of all hospital services.ResultsHRQoL according to the 15-Dimensional Health-Related Quality-of-Life Instrument declined in both groups, and no difference was present in the changes between the groups (P for group .75, adjusted for age, sex, do-not-resuscitate orders, need for help, and clustering). Neither the number of hospital inpatient days (1.87 vs 0.81 per person-year) nor the number of emergency department visits differed significantly between intervention and control groups (P for group .41). The total hospital costs were similar in the intervention and control groups.Conclusions and ImplicationsOur rigorous RCT on end-of-life care training intervention demonstrated no effects on residents’ HRQoL or their use of hospitals. Unsupported training interventions alone might be insufficient to produce meaningful care quality improvements.     

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.     

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.     

A Local COVID-19 Support Platform for Nursing Homes: Feedback and Perspectives

The COVID-19 pandemic has had a major impact on nursing homes (NHs), which were not prepared to manage infections among their at-risk patient populations. In order to comply with the French government's guidelines, we rapidly set up a local support platform (LSP) to help NHs manage their cases of COVID-19. The LSP comprised multidisciplinary decision support, a specialist phone hotline, mobile geriatric medicine teams, and videoconferences on COVID-19.We first quantified the LSP's interventions in 63 local NHs since the start of the first wave of COVID-19 (March 2020): 9 instances of multidisciplinary decision support, 275 calls to the specialist phone hotline, 84 interventions by mobile geriatric medicine teams, and 16 videoconferences. The LSP had been used during and between the first and second waves of the epidemic, and all had evolved to meet the NHs' needs.     

Absence of COVID-19 Disease Among Chronically Ventilated Nursing Home Patients

ObjectiveTo describe the experience of COVID-19 disease among chronically ventilated and nonventilated nursing home patients living in 3 separate nursing homes.DesignObservational study of death, respiratory illness and COVID-19 polymerase chain reaction (PCR) results among residents and staff during nursing home outbreaks in 2020.Setting and Participants93 chronically ventilated nursing home patients and 1151 nonventilated patients living among 3 separate nursing homes on Long Island, New York, as of March 15, 2020. Illness, PCR results, and antibody studies among staff are also reported.MeasurementsData were collected on death rate among chronically ventilated and nonventilated patients between March 15 and May 15, 2020, compared to the same time in 2019; prevalence of PCR positivity among ventilated and nonventilated patients in 2020; reported illness, PCR positivity, and antibody among staff.ResultsTotal numbers of deaths among chronically ventilated nursing home patients during this time frame were similar to the analogous period 1 year earlier (9 of 93 in 2020 vs 8 of 100 in 2019, P = .8), whereas deaths among nonventilated patients were greatly increased (214 of 1151 in 2020 vs 55 of 1189 in 2019, P < .001). No ventilated patient deaths were clinically judged to be COVID-19 related. No clusters of COVID-19 illness could be demonstrated among ventilated patients. Surveillance PCR testing of ventilator patients failed to reveal COVID-19 positivity (none of 84 ventilator patients vs 81 of 971 nonventilator patients, P < .002). Illness and evidence of COVID-19 infection was demonstrated among staff working both in nonventilator and in ventilator units.Conclusions and ImplicationsCOVID-19 infection resulted in illness and death among nonventilated nursing home residents as well as among staff. This was not observed among chronically ventilated patients. The mechanics of chronic ventilation appears to protect chronically ventilated patients from COVID-19 disease.     

ICU护理人力资源配置对脓毒症休克集束化治疗完成率的影响

目的调查分析我国重症医学科不同护理人力资源配置对脓毒症休克集束化治疗完成率的影响。方法基于全国重症医学质量控制大数据平台,调查全国1 065家医院重症医学科护理人力配置情况,比较不同省份（自治区、直辖市）ICU护理人力配置状况下脓毒症休克3 h内和6 h内集束化治疗完成率。结果3 h内集束化治疗完成率79.0%,6 h内集束化治疗完成率69.5%。护床比在≤1.5:1、1.5:1～2.0:1、≥2.0:1情况下,脓毒症休克3 h内集束化治疗完成率分别为0.69、0.79、0.83,6h内集束化治疗完成率分别为0.45、0.70、0.75。结论ICU护床比影响脓毒症休克集束化治疗完成率。护床比增加,脓毒症休克集束化治疗完成率提高。建议适当提高重症医学科护理人力资源配比,以提高脓毒症休克患者救治质量。     

Assessing Residents’ Perceptions of Their Relocation to Long-Term Care: Psychometric Validation of the View of Relocation Scale

ObjectivesRelocation to long-term care is a major challenge for older people. The View of Relocation Scale (VRS) was developed to address the need for a brief instrument to assess residents’ perceptions of the relocation.DesignSecondary analysis of data collected in a cluster randomized trial. The psychometric properties of the VRS examined in this study included factorial structure (using exploratory factor analysis), unidimensionality (Rasch modeling), internal consistency reliability (Kuder-Richardson Formula 20, squared multiple correlations, and item-total correlations), and known groups validity (analysis of variance). The results were used to identify the psychometrically most robust items for inclusion into the final version of the instrument.Setting and ParticipantsParticipants were 202 long-term care residents in Melbourne, Australia (mean age = 85.52 years, standard deviation = 7.33), who had relocated to the facility a mean of 4.4 weeks previously. Residents with moderately severe and severe dementia were excluded.MeasuresThe VRS was developed following a review of the literature describing residents’ views of relocation and was designed for administration shortly after their relocation.ResultsThere was support for a 2-factor, 10-item solution, with separate subscales assessing Perceived Control (degree of control in the decision making and planning for the relocation) and Perceived Need (perceived need for the relocation to long-term care). Participants who were admitted directly from hospital reported higher perceived need but lower perceived control than those admitted to the facility from home.Conclusion and ImplicationsThe VRS can be used to understand the impact of older people's perceptions of relocation to long-term care on their subsequent adjustment and well-being, and to identify those who may benefit from tailored support.