Survival prediction among nursing home residents: A longitudinal study

A visual art intervention program for older people with stroke in residential care settings: A feasibility study

INTRODUCTION

Stroke poses challenges to the physiological, psychosocial and spiritual well-being of affected individuals. As the impacts of stroke might not be reversible, a shift in focus to providing care is desirable. Visual art interventions using visual and symbolic art can help participants to express their feelings, give them a sense of choice and the feeling that they are retaining a sense of control, promote insights, restructure their sense of cognition and instil hope. There have been few studies on visual art interventions involving older people with stroke and none in residential care homes (RCHs). Theoretical support and rigorous research designs on the subject are lacking. Thus, this study seeks to address this research gap by examining the feasibility of a visual art intervention for older people in RCHs and exploring the impacts on their holistic well-being.

METHODS

This was a single-blinded, two-arm, randomised controlled feasibility study grounded on Watson's Caring Theory. The Holistic Well-Being Scale and Caring Factor Survey were used in the study, with three assessment time-points: before the intervention (T1), at the mid-point of the intervention (T2) and immediately after the intervention (T3).

RESULTS

Sixty-one older people with stroke were recruited from 14 RCHs and randomised into the intervention and control groups. The recruitment rate was 44.53%, and the retention rate for the intervention group was 93.55%. Implementing the programme was affordable (at approximately US$126/head), the duration was acceptable (721 min) and the feedback from participants and staff of the RCHs was positive.

CONCLUSIONS

The visual art intervention programme proved to be clinically feasible. This study adds new insights to the development of visual art interventions and to the caring sciences. The efficacy of the programme on holistic well-being has yet to be confirmed.

Assessment of risk factors associated with long-term mortality in nursing homes: result from the SENIOR cohort

BACKGROUND

Previous studies on risk factors for death in nursing homes have focused on short-term observation and limited number risk factors.

AIMS

This study aims to identify factors predictive of 8-year survival in nursing homes.

METHODS

The study used the baseline measurements from the SENIOR cohort collected in 2013-2014. Data included clinical assessments (i.e., body composition, nutritional status, physical performance, level of dependence and cognition, frailty phenotype) as well as demographic information, number of medications and medical history. Mortality data were collected annually for 8 years. Univariate analyses were initially performed to assess potential predictive factors, followed by a Cox regression model using stepwise selection.

RESULTS

Of the 662 participants enrolled in the cohort, 58 (8.8%) were not further assessed due to the withdrawal of 2 nursing homes and 71 (10.7%) had no mortality data available (i.e., relocation, refusal to continue the study). Among the 533 patients included, 111 (20.8%) were still alive in 2022. Median survival time was 4 years (1.93-6.94). Multivariate regression showed that younger age (HR = 1.04 (1.03-1.06)), higher body mass index (HR = 0.96 (0.94-0.98)), higher score on the Mini-Mental State-Examination (HR = 0.97 (0.94-0.99)) and higher score on the Short Physical Performance Battery (HR = 0.93 (0.90-0.97)) were protective factors against mortality.

CONCLUSIONS

This study highlights that certain modifiable factors related to physical or mental health contribute to increased survival in nursing homes. Because of its ability to improve physical performance and partly cognitive function, promoting physical activity in nursing homes appears to be a public health priority.

The External Validation of the Nursing Homes Short Depression Inventory in Older Adults with Major Neurocognitive Disorders in Long-Term Care Centers

INTRODUCTION

Depression is often difficult to detect in long-term care (LTC) patients with major neurocognitive disorders (MNCD), and an observer-rated screening scale could facilitate assessments. This study aimed to establish the external validity and reliability of the Nursing Homes Short Depression Inventory (NH-SDI) in LTC patients with MNCD and to compare its estimates to the Cornell Scale for Depression in Dementia (CSDD), the most used scale for depression in MNCD.

METHODS

A focus discussion group of experts assessed the content validity of the NH-SDI. Then, a convenience sample of 93 LTC patients with MNCD was observer-rated by trained nurses with the NH-SDI and CSDD. For 57 patients, a medical assessment of depression was obtained, and screening accuracy estimates were generated.

RESULTS

The prevalence of depression was 8.8% as per reference standard. NH-SDI's content validity was judged acceptable with minor item wording modifications and specifications. The NH-SDI (cut-off ≥3) achieved 100% (95% confidence interval [CI]: 46-100%) sensitivity, 83% (95% CI: 69-91%) specificity, and 36% (95% CI: 14-64%) positive predictive value (PPV). The CSDD (cut-off ≥3) achieved 100% (95% CI: 46-100%) sensitivity, 75% (95% CI: 61-86%) specificity, and 28% (95% CI: 11-54%) PPV. No significant differences in areas under the receiver operating characteristic curve were found between scales. The NH-SDI and CSDD were highly correlated (rs = 0.913; p < 0.001) and reliable (ICC = 0.77; p < 0.001).

CONCLUSION

The NH-SDI appears valid and reliable in LTC patients with MNCD and quicker than the CSDD to rule out depression in a busy or short-staffed setting.

Explanatory survival model for nursing home residents- a 9-year retrospective cohort study

PURPOSE

There is a gap in the literature regarding the analysis of long-term survival and mortality risk factors among disabled and multimorbid institutionalized populations. The study aimed to analyze 9-year survival, investigate mortality factors, and develop an explanatory survival model for nursing home residents.

MATERIALS AND METHODS

A retrospective cohort study with a 9-year follow-up (2009-2018) was conducted among 96 residents of a nursing home with Barthel index ≤ 40. The study was based on baseline measurements performed in 2009, which included results obtained on geriatric scales: Mini Nutritional Assessment Short-Form (MNA-SF) and Abbreviated Mental Test Score (AMTS). Information on demographics, comorbidities, pharmacotherapy, transfers and deaths came from medical records. Kaplan-Meier curves were used to estimate and present survival data. Factors associated with mortality were determined using Cox proportional hazard models.

RESULTS

The median survival was 2.9 years. Mortality during the follow-up period was 83%. Kaplan-Meier curves showed that residents with normal nutritional status (p = 0.002) and taking aspirin (p = 0.005) had a better 9-year survival. The multivariable Cox regression model revealed that the risk of mortality (Hazard Ratio, HR) increased in older age (HR=1.04), male gender (HR=2.08), with risk of malnutrition (HR=3.91), malnutrition (HR=4.84), and presence of urinary incontinence (HR=2.14). The aspirin use was the strongest protective factor against death (HR=0.40).

CONCLUSION

The aspirin use was associated with better long-term survival for nursing home residents. Factors associated with higher mortality among residents include older age, male gender, poor nutritional status, and urinary incontinence.

BRIEF SUMMARY

We are the first to report the beneficial effects of a low-dose of aspirin on the long-term survival of disabled, institutionalized populations with multimorbidity. Furthermore, this study presents an explanatory model of survival for nursing home residents and identifies the long-term mortality risk factors among disabled residents with multimorbidity.