Lack of Energy and Negative Health-Related Outcomes in Nursing Home Residents: Results From the INCUR Study

Instruments and Warning Signs for Identifying and Evaluating the Frequency of Adverse Events in Intermediate and Long-Term Care Centres: A Narrative Systematic Review

INTRODUCTION

There is a lack of data about adverse events (AE) in intermediate and long-term care centers (ILCC). We aimed to synthesize the available scientific evidence on instruments used to identify and characterize AEs. We also aimed to describe the most common adverse events in ILCCs.

MATERIAL AND METHODS

A narrative systematic review of the literature was conducted according to Prisma recommendations. The PubMed database was searched for articles published between 2000 and 2021. Two reviewers independently screened and reviewed the studies through blind and independent review. We evaluated bias risk with Cochrane's risk of bias tool. Disagreements were resolved by consensus. Discrepancies that were not resolved by discussion were discussed with a third reviewer. Descriptive data was extracted and qualitative content analysis was performed.

RESULTS

We found 2191 articles. Based on the inclusion and exclusion criteria, 272 papers were screened by title and abstract, and 66 studies were selected for full review. The instruments used to identify AEs were mostly tools to identify specific AEs or risks of AEs (94%), the remaining 6% were multidimensional. The most frequent categories detected medication-related AEs (n=26, 40%); falls (n=7, 11%); psychiatric AEs (6.9%); malnutrition (4.6%), and infections (4.6%). The studies that used multidimensional tools refer to frailty, dependency, or lack of energy as predictors of AEs. However, they do not take into account the importance of detecting AEs. We found 2-11 adverse drug events (ADE) per resident/month. We found a prevalence of falls (12.5%), delirium (9.6-89%), pain (68%), malnutrition (2-83%), and pressure ulcers (3-30%). Urinary tract infections, lower respiratory tract infections, skin and soft tissue infections, and gastroenteritis were the most common infections in this setting. Transitions between different care settings (from hospitals to ILCC and vice versa) expose AE risk.

CONCLUSION

There are many instruments to detect AEs in ILCC, and most have a specific approach. Adverse events affect a significant proportion of patients in ILCC, the nurse-sensitive outcomes, nosocomial infections, and adverse drug events are among the most common. The systematic review was registered with Prospero, ID: CRD42022348168.

Mini-ACE: Validation Study Among Older People in Long-Term Care

Background

The Mini-Addenbrooke's Cognitive Examination (M-ACE) is a valid and reliable tool that accurately differentiates various types of cognitive impairment from Normal-cognition assessed in multiple settings. However, its validity among older individuals in long-term care (LTC) was not yet established. Therefore, we sought to assess the Portuguese M-ACE's validity, reliability, and accuracy in detecting cognitive impairment no-dementia (CIND) in LTC users.

Methods

A comprehensive assessment was performed on 196 LTC Portuguese users aged ≥ 60 years, among whom 71 had Normal-cognition, and 125 had CIND.

Results

The M-ACE was found to be reliable (McDonald's ω = .86, Cronbach's α = .85) and consistent over time (r = .72; ICC = .83) and between raters (k = .92). Strong correlations with related measures supported construct validity (both r = .67). The M-ACE accurately distinguished CIND from Normal-cognition with a cut-off of 17 points (AUC = 0.81, Sensitivity = 81.7%, Specificity = 74.4%).

Conclusion

Our findings suggest that the Portuguese M-ACE is a valid and reliable cognitive assessment tool for LTC users, allowing for accurate differentiation between CIND and Normal-cognition. Thus, the M-ACE's use could contribute to the early detection and intervention of cognitive disorders, especially among older adults in LTC.

Defining Vitality Using Physical and Mental Well-Being Measures in Nursing Homes: A Prospective Study

OBJECTIVES

To propose an objective definition of vitality and to evaluate its predictive value regarding the evolution of functional ability, as well as the risk of hospitalization and mortality in very old NH residents.

DESIGN

Observational study.

SETTINGS

Nursing homes.

PARTICIPANTS

541 participants.

MEASUREMENTS

We operationalized tree definitions of vitality (binary variables discriminating vital from non-vital individuals): Mental vitality, assessed using three items of the geriatric depression scale; Physical vitality measured through hand grip strength test; and combined vitality, which combined mental and physical vitality definitions. Outcome measures were the 1-year evolution of functional ability as measured by a scale of activities of daily living (ADL) (score from 0 to 6) and the incidence of hospitalizations and mortality (time-to-event).

RESULTS

First, 204 (37.7%) residents were defined as mentally vital. Second, 139 (27.5%) residents were defined as physically vital. And 52 (9.6%) were defined as vital when combining physical and. Combined vitality was associated with a reduced risk of hospitalization compared to combined non-vitality. Physically vital residents were associated with a reduced risk of mortality. No prospective associations were found between vital and non-vital individuals on the evolution of ADL scores across the three vitality definitions. But mentally vital individuals were associated with a worsening of ADL score.

CONCLUSIONS

Better combined vitality seems to be associated with a reduced risk for hospitalizations, but more studies are needed to confirm a valid measurement of vitality in people living in NH in regards to ADL and mortality.

Network analysis of frailty and aging: Empirical data from the Mexican Health and Aging Study

BACKGROUND

Frailty remains a challenge in the aging research area with a number of gaps in knowledge still to be filled. Frailty seems to behave as a network, and in silico evidence is available on this matter. Having in vivo evidence that frailty behaves as a complex network was the main purpose of our study.

METHODS

Data from the Mexican Health and Aging Study (main data 2012, mortality 2015) was used. Frailty was operationalized with a 35-deficit frailty index (FI). Analyzed nodes were the deficits plus death. The edges, linking those nodes were obtained through structural learning, and an undirected graph associated with a discrete probabilistic graphical model (Markov network) was derived. Two algorithms, hill-climbing (hc) and Peter and Clark (PC), were used to derive the graph structure. Analyses were performed for the whole population and tertiles of the total FI score.

RESULTS

From the total sample of 10,983 adults aged 50 or older, 43.8% were women, and the mean age was 64.6 years (SD = 9.3). The number of connections increased according to the tertile level of the FI score. As the FI score raised, groups of interconnected deficits increased and how the nodes are connected changed.

CONCLUSIONS

Frailty phenomenon can be modeled using a Bayesian network. Using the full sample, the most central nodes were self-report of health (most connected node) and difficulty walking a block, and all deficits related to mobility were very interconnected. When frailty levels are considered, the most connected nodes differ, but are related with vitality, mainly at lower frailty levels. We derived that not all deficits are equally related since clusters of very related deficits and non-connected deficits were obtained, which might be considered in the construction of the FI score. Further research should aim to identify the nature of all observed interactions, which might allow the development of specific interventions to mitigate the consequences of frailty in older adults.

The long-term effects of the health coaching self-management program for nursing-home residents

Background and aims

Little is known about whether a self-management program for nursing-home residents (NHR) with cognitive impairment is likely to have an impact on the care of this growing population. This study aimed to evaluate the effects of the health-coaching self-management program for NHR (HCSMP-NHR) on 1) self-efficacy and goal attainment scaling (GAS), 2) health status and quality of life (QoL) among older people, including those with cognitive impairment, in Korean nursing homes.

Methods

This was a cluster-randomized controlled trial. Participants in the intervention group (n=43, mean age =80.91±7.65 years) received the HCSMP-NHR intervention, composed of group health education and individual coaching, for 8 weeks. Conventional care was provided to the conventional group (n=47, mean age =80.19±7.53 years) during the same period. The effects of the HCSMP-NHR were measured three times: at baseline, week 9, and week 20.

Results

The intervention group showed better results for self-efficacy (P=0.007), health distress (P=0.007), depression (P<0.001), and QoL (P=0.04) at week 9. Mean GAS score of the intervention group gradually increased from −0.38 to 0.74. The time × group interaction showed that the intervention group had significant improvements in QoL (P=0.047), and significant reductions in health distress (P=0.016) and depression (P<0.001), while showing no deterioration in shortness of breath (P<0.001).

Conclusion

Our study findings indicate that the HCSMP-NHR improved self-efficacy and GAS and enhanced the health status and QoL of NHR with chronic conditions who also had mild-to-moderate cognitive impairment. Moreover, these effects were successfully maintained over the 5 months of the trial. Further research is needed to establish the optimum intervention period and to assess the possibility of nationwide implementation of the HCSMP-NHR.