Obesity and intensive staffing needs of nursing home residents

Factors Associated With the Ability of US Nursing Homes to Accept Residents With Severe Obesity

OBJECTIVES

Severe obesity in nursing home (NH) residents is associated with specialized care needs, limited mobility, and challenges in daily living. The COVID-19 pandemic strained NH resources and exacerbated staffing shortages. This study aimed to assess the ability of US NHs to accept and care for residents with severe obesity post-COVID, as well as associated NH factors.

DESIGN

Cross-sectional nationwide survey of NH administrators (2021-2022).

SETTING AND PARTICIPANTS

290 NHs from a national sample (n = 224) and a targeted sample in Massachusetts and New Jersey (n = 66).

METHODS

A survey designed to assess how NHs approach admitting and caring for people with severe obesity before and after COVID was fielded from 2021 to 2022. Responses were linked to facility information from the Certification and Survey Provider Enhanced Reports, Minimum Data Set, Nursing Home Compare, Area Health Resources File, and US Diabetes Surveillance System. Multivariable logistic regression was used to assess the effect of organizational and survey response variables.

RESULTS

Of the 2503 surveys sent to US NHs, 1923 were sent to the national NH stratified sample, and 580 were sent to the MA/NJ sample. Overall, 12% (301 of 2503) of NHs surveyed responded. The response rates were similar between the 2 samples. Of 290 NHs with complete data, 34% reported being unlikely to accept residents with severe obesity after COVID-19, compared with 25% before the pandemic (P < .001). The main barriers to acceptance were staffing shortages and difficulties meeting equipment and space needs. NHs with higher proportions of Black residents were more likely to admit individuals with severe obesity.

CONCLUSIONS AND IMPLICATIONS

The decline in acceptance of residents with severe obesity during and after COVID-19 highlights potential challenges that this population faces in accessing care. Our results also raise concerns that an intersection of disparities may exist in Black patients with severe obesity.

Relationship between nutritional status and clinical outcomes among older individuals using long-term care services: A systematic review and meta-analysis

BACKGROUND & AIMS

Nutritional status is a significant issue in an aging society; however, the impact of the nutritional status of older individuals using long-term care services on the caregiving burden remains unclear. This systematic review and meta-analysis aimed to investigate the impact of nutritional issues on adverse outcomes in older individuals using long-term care services.

METHODS

We used data from the Cochrane Central Register of Controlled Trials, MEDLINE, Embase, Web of Science, CINAHL, and Ichu-shi Web databases. Original articles published in English or Japanese between January 2000 and July 2022 were included. The inclusion criteria were interventional and observational studies on individuals using long-term care services with aged ≥65 years and a focus on body weight or weight loss. Data on adverse outcomes related to caregiving burden, including the number of people requiring care, mortality, complications, activities of daily living (ADL), and quality of life, were collected.

RESULTS

The literature search yielded 7873 studies, of which 35 were ultimately included. Seven observational studies investigated mortality outcomes, and seven examined ADL outcomes. The meta-analysis revealed significantly higher mortality rates in individuals classified as underweight (BMI <18.5 kg/m2) than in those with BMI ≥18.5 kg/m2 (risk ratio [RR] 1.49; 95 % confidence interval [CI] 1.31 to 1.73, 0.22; I2 93 %). Further, on categorising the participants based on a BMI cutoff of 25 kg/m2, those with a BMI of <25 kg/m2 had a significantly increased mortality rate (RR 1.21; 95 % CI 1.04-1.40; I2 = 98 %). BMI and weight loss did not affect ADL.

CONCLUSIONS

Our findings indicate that underweight and weight loss are significantly associated with increased mortality in older individuals using long-term care services. Therefore, appropriate weight management is recommended for this population. However, further research is necessary owing to the high heterogeneity observed in this study.

Characteristics of United States nursing homes with high percentages of stage 2-4 pressure injuries among high-risk nursing home residents with obesity

Obesity rates in nursing homes (NHs) are increasing. Residents with obesity are at risk for poor outcomes such as pressure injuries (PIs) due to special care needs such as bariatric medical equipment and special protocols for skin care. PIs among resident populations is a sign of poor quality NH care. The purpose of this retrospective observational study was to identify characteristics of NHs with high rates of stage 2-4 PIs among their high-risk residents with obesity. Resident assessment data were aggregated to the NH level. NH structure and process of care and antecedent conditions of the residents and environment measures were used in bivariate comparisons and multivariate logistic regression models to identify associations with NHs having high rates of stage 2-4 PIs among high-risk residents with obesity. We identified three characteristics for which the effect on the odds was at least 10% for clinical significance - for-profit status, large facilities, and the hours of certified nursing assistants (CNAs) per patient day (HRPPD). This study identified several NH characteristics that are associated with higher risk for PIs, which can be targeted with evidence-based interventions to reduce the risk of these adverse safety events occurring.

Characteristics of Nursing Homes with High Rates of Urinary Tract Infections among Their Residents with Obesity

Nursing home residents with obesity are at high risk for contracting urinary tract infections. In this research study, we found nursing homes in multi-facility chain organizations, for-profit status, nursing home size, obesity rate of resident population, and market competition were significantly associated with rates of urinary tract infections among residents with obesity.

Characteristics of nursing homes with high percentages of falls and falls with injuries among residents with obesity

BACKGROUND

Obesity among United States nursing home (NH) residents is increasing. These residents have special care needs, which increases their risk for falls and falls with injuries. NH are responsible for ensuring the health of their residents, including minimizing falls. However, given the special care needs of residents with obesity, different factors may be important for developing programs to minimize falls among this group.

AIM

We aimed to identify NH characteristics associated with falls and falls with injuries among residents with obesity.

METHOD

We used resident assessment data and logistic regression analysis.

RESULTS

We found that rates of falls and falls with injuries among residents with obesity varied significantly based on for-profit status, size, acuity index, obesity rate among residents, and registered nurse hours per patient day.

CONCLUSION

Recommendations are made as to how NH may be able to lower risk for falls and falls with injuries among their residents with obesity.

Challenges in obtaining accurate anthropometric measures for adults with severe obesity: A community-based study

AIMS

The number of people with severe obesity (BMI ⩾40 kg/m²) is increasing rapidly, but is poorly documented, partly as a result of inappropriate standard anthropometric measurement methods for community-based people.

METHODS

As part of a broader study, people receiving care services and with severe obesity were visited at home. The people were assessed for measurements using different weighing scales and a standard portable stadiometer. If the stadiometer could not be used, their half arm span and knee height were measured to estimate their height using standard predictive equations.

RESULTS

Measurements were taken for 15 women and 10 men (n = 25) aged 40-87 years (mean 62 years). Weights ranged from 98.4 to 211.8 kg (mean 150 kg), with 16 participants requiring bariatric scales. For the six people who were unable to stand, we used wheelchair scales (n = 1), bed weighing scales (n = 2), routine weights from care home records (n = 2) or weight data from hospital records (n = 1). The standard portable stadiometer could only be used for one person; the others required alternative measures from which to estimate height. Large body habitus obscured bony landmarks, meaning alternative measures gave diverse heights. Fourteen participants had a ⩾8 cm difference in height between estimates from half arm span and knee height measurements.

CONCLUSIONS

Standard practice commonly does not provide reliable measurements for people with severe obesity, particularly those with mobility difficulties. An inability to measure weight and height accurately can exclude people from appropriate care, obscuring the true numbers affected and the effectiveness of future service planning. Safe community care requires the availability of specialist scales and standardised methods for height estimation appropriate for older and disabled people with severe obesity.

Obesity and its associated factors in older nursing home residents in three European countries-Secondary data analyses from the "International Prevalence Measurement of Care Quality"

BACKGROUND

The prevalence of obesity has risen in recent decades and reached epidemic proportions worldwide. The proportion of those living with obesity is also increasing in nursing homes. This could impact the nursing care required, equipment and facilities provided, and morbidity in these settings. Limited evidence exists on clinical consequences of obesity in nursing home residents and their care.

OBJECTIVE

Therefore, the aim was to examine the rate and associated factors of obesity (BMI ≥30; class I (BMI 30.0-34.9 kg/m² ), class II (BMI 35.0-39.9 kg/m² ), and class III (BMI >40.0 kg/m² )) amongst older nursing home residents in European countries.

METHODS

We analysed data from 21,836 people who reside in nursing homes in Austria, the Netherlands, and the United Kingdom. They participated in the "International Prevalence Measurement of Care Quality", a cross sectional study between 2016 and 2019, where trained nurses interviewed the residents, reviewed care records, and conducted clinical examinations. A tested and standardised questionnaire comprised questions on demographic data, measured BMI, medical diagnosis according to ICD-10, and care dependency. Descriptive and logistic regression analyses were performed.

RESULTS

Obesity rates were highest in Austria (17.1%) and lowest in the UK (13.0%) (p = .006). Residents with obesity were younger and less likely to be care dependent or living with dementia and had more often diabetes mellitus, endocrine, metabolic, and skin diseases compared to residents without obesity (p < .05). Most obese residents had obesity class I. Therefore, two subgroups were built (class I vs. class II + III). Residents with obesity class II + III were more frequently care dependent for mobility, getting dressed and undressed, and personal hygiene compared to residents with class I (p < .05).

CONCLUSIONS

This study identified several factors that are associated with obesity amongst older nursing home residents in selected European countries.

IMPLICATIONS FOR PRACTICE

The division into obesity classes is important for planning targeted care according to the individual needs of nursing home residents.

A Cross-Sectional, Correlational Study Comparing Individual Characteristics of Younger and Older Nursing Home Residents Using Western Canadian Resident Assessment Instrument-Minimum Data Set (RAI-MDS) 2.0

OBJECTIVE

To compare characteristics of nursing home (NH) residents by age categories in Western Canada.

DESIGN

A cross-sectional, correlational analysis of secondary data.

SETTING AND PARTICIPANTS

89,231 residents living in Western Canada NHs in the provinces of Alberta, Manitoba, and British Columbia in 2016 and 2017.

METHODS

Resident characteristics (age, sex, marital status, body mass index, medical diagnoses, cognitive function, physical function, depressive symptoms) came from the Resident Assessment Instrument-Minimum Data Set 2.0 and were analyzed using chi-square, analysis of variance, and post hoc pairwise tests. Human developmental stage age categories were used to create 5 age groups: 18-34, 35-50, 51-64, 65-80, and 81 years and older.

RESULTS

The demographics, medical diagnoses, cognitive function, and physical function characteristics of NH residents among 5 age groups differed considerably (all P < .001). Residents aged 18-34 years were predominately male, never married, with a higher incidence of paralysis and traumatic brain injury. Residents aged 35-50 years had a higher incidence of stroke and multiple sclerosis, and residents aged 51-64 years mainly were morbidly obese and more prone to depression. Residents aged 65-80 years were predominately married and more prone to diabetes, and residents aged 81 years and older were predominately widowed, with a higher incidence of dementia compared with others.

CONCLUSIONS AND IMPLICATIONS

Findings describe the uniqueness of younger NH age groups and indicate that the youngest NH residents often have the severe disability and a modest support system (as defined by partnered status) compared to older residents in NHs. Future studies must analyze longitudinal data that track the growth of, and changes in, residents' health and functional status.

Forecasting Future Demand of Nursing Staff for the Oldest-Old in China by 2025 Based on Markov Model

BACKGROUND

An aging population and an increase in the proportion of disabled elderly have brought an unprecedented global challenge, especially in China. Aside lack of professional long-term care facilities, the shortage of human resource for old-age care is also a major threat. Therefore, this study tries to forecast the demand scale of nursing staff for the oldest-old in 2025 in China servicing as a reference for the development plan of human resource for elderly nursing.

METHODS

Based on CLHLS (Chinese Longitudinal Healthy Longevity Survey) 2011 and 2014, Logit model was used to construct the transition probability matrix of the elderly's health status (health/mild/moderate/severe disability and death). By using the data of the elderly population aged 65 or over in the 2010 national population census, we projected the number of Chinese oldest-old population in different health status by 2025 through Markov model and projected the scale of the demand of nursing staff combined with the human population ratio method.

RESULTS

The forecast shows that the Chinese oldest-old population is about 52.6 million, among which 46.9 million are healthy, 3.7 million are mild, 0.8 million are moderate, and 1.2 million are severely disabled in 2025. Concurrently, the demand scale of nursing staff will be 5.6 million according to the low standard and 11.5 million according to the high standard. Thus, human resource supply of long-term care is worrying.

CONCLUSION

In 2025, the population size of the Chinese oldest-old will be further expanded, and the demand of care will increase accordingly, leading to a vast gap in the nursing staff. Therefore, it is urgent to build a professional nursing staff with excellent comprehensive quality and reasonable quantity, to ensure the sustainable development of China's elderly care service industry.

An exploration of the challenges of providing person-centred care for older care home residents with obesity

The aim of this study was to explore care home staff's views on the prevalence of obesity in older people and how well prepared they were for any rise in applications for placements. Thematic analysis was used to analyse focus group interview data collected from seven care homes/33 participants in N.E. England. Findings revealed rises in demand by older people with obesity for care home admittance, consistent with rising prevalence of obesity in this demographic nationally. Findings also highlight implications of rising prevalence of obesity in older people, particularly care home staff's ability to deliver person-centred care (PCC) and the importance of appropriate support/recognition of this as an emergent issue to be addressed at a higher executive level and by health/social care authorities. Ways of ensuring PCC are discussed. Given continuing trends towards rising prevalence of obesity in this population, the findings possess broader translational potential.

Nursing home directors of nursing experiences regarding safety among residents with obesity

The prevalence of nursing home (NH) residents with obesity is rising. Perspectives of NH Directors of Nursing (DONs) who oversee care trajectories for residents with obesity is lacking. This study aimed to describe the experiences of NH DONs regarding care and safety for NH residents with obesity. An adapted version of Donabedian's structure-process-outcome model guided this qualitative descriptive study. Semi-structured interviews were conducted with 15 DONs. Data were analyzed using directed content analysis, and findings are presented under the model's constructs. We learned that admission decisions for NH referrals of patients with obesity are complex due to reimbursement issues, available space and resources, and resident characteristics. DONs described the need to coach and mentor Certified Nursing Assistants to provide safe quality care and that more staff education is needed. We identified novel findings regarding the challenges of short-term residents' experience transitioning out of care due to limited resources.

Proposed cut-off points for anthropometric and bioelectrical measures based on overweight and obesity criteria in Spanish institutionalised elderly people

The increasing prevalence of obesity among the institutionalised elderly population and its severe consequences on health requires an early and accurate diagnosis that can be easily achieved in any clinical setting. This study aimed to determine new cut-off values for anthropometric and bioelectrical impedance measures that are superior to body mass index criteria for overweight and obesity status in a sample of Spanish institutionalised elderly population. A total of 211 institutionalised older adults (132 women, aged 84.3±7.3 years; 79 men, aged 81.5±7.3 years) were enrolled in the current cross-sectional study. Anthropometric and bioelectrical impedance measures included the body mass index, waist circumference, gluteal circumference, waist-hip ratio, sagittal-abdominal diameter, trunk fat, and visceral-fat ratio. In women, the waist circumference, gluteal circumference, sagittal-abdominal diameter, trunk fat, and visceral-fat index presented strongly significant specificity and sensitivity (area under the curve [AUC], p<0.0001) and elevated discriminative values (receiver operating characteristic [ROC] curves: 0.827 to 0.867) for overweight and obesity status. In men, the waist-hip ratio, waist circumference, gluteal circumference, sagittal-abdominal diameter, trunk fat, and visceral-fat ratio were strongly significant AUC (p<0.0001), with moderate-to-high values (ROC curves: 0.757-0.871). In conclusion, our findings suggest that gluteal circumference, waist circumference, and sagittal-abdominal diameter in women and trunk fat, visceral-fat ratio, and waist circumference in men may represent more suitable cut-off values superior to body mass index criteria for overweight and obesity in the Spanish institutionalised elderly population.

Organizational and Geographic Nursing Home Characteristics Associated With Increasing Prevalence of Resident Obesity in the United States

Nursing home resident obesity increases the complexity of nursing care, and nursing homes report avoiding residents with obesity when choosing which prospective residents to accept. The objective of this study was to examine the associations between nursing home obesity prevalence rate and nursing home organizational, staffing, resident, and geographic factors within a profit maximization framework. The study cohort included U.S. Centers for Medicare and Medicaid Services data from U.S. nursing homes in 2013. Study findings supported hypothesized associations between obesity prevalence rate and higher occupancy, higher bed capacity, and multi-facility affiliation, but findings did not support a relationship between obesity prevalence rate and for-profit status.

Spirituality, satisfaction with life and health-related behavior of older residents of long-term care institutions-a pilot study

Spirituality and satisfaction with life are psychological factors related to health behavior. The aim of the study was to determine whether satisfaction with life acts as a mediator in the relationship between the spirituality of residents of long-term care institutions and their health-related behavior. A total of 102 people aged 60-99 were examined. It was found that satisfaction with life played a mediating role in the relationship between spirituality and health behavior. The study addresses the gap in knowledge regarding institutionalized older adults, exploring the role of spirituality and satisfaction with life on lifestyle in nursing home settings.