Convergent Validity, Concurrent Validity, and Diagnostic Accuracy of the interRAI Depression Rating Scale

Effects of changing criteria on improving interRAI assessment for elder abuse: analysis of a national dataset from Aotearoa New Zealand

OBJECTIVES

Globally, one in six older adults in the community will be a victim of abuse (elder abuse; EA). Despite these horrific statistics, EA remains largely undetected and under-reported. Available screening methods and tools fail to accurately identify the phenomenon's true prevalence. We aimed to test assessment capture rates by altering the criteria for suspicion of EA in the interRAI-HC (International Resident Assessment Instrument-Home Care) in a large national dataset.

DESIGN

We employed secondary analyses of existing data to test a methodology to improve the detection of older adults at risk of EA using the interRAI-HC, which currently underestimates the extent of abuse.

SETTING

The interRAI is a suite of clinical assessment instruments. In Aotearoa New Zealand, interRAI is mandatory in aged residential care and home and community services for older people living in the community. They are designed to show the assessor opportunities for improvement and any risks to the person's health.

OUTCOME MEASURE

Capture rates of individuals at risk of EA when the interRAI Abuse-Clinical Assessment Protocol (A-CAP) is changed to include the unable to determine abuse (UDA) group shown in a pilot study to increase capture rates of individuals at risk of EA.

RESULTS

Analysis of 9 years of interRAI-HC data (July 2013-June 2022) was undertaken, encompassing 186 713 individual assessments consisting of 108 992 women (58.4%) and 77 469 men (41.5%). The mean age was 82.1 years (range: 65-109); the majority 161 378 were European New Zealanders (86.4%) and the most common minority ethnicity was Māori (6.1%). Those at high risk of abuse (A-CAP) tended to be male (2402; 51.0%), were 79.2 years old on average (range 65-105), with 49.6% (2335) living alone, 39.4% (1858) suffering from depression and a majority were assessed as not having independent decision making (2942; 62.5%). In comparison, the UDA group showed similar characteristics to the A-CAP group on some measures. They were slightly younger than the general sample, with a mean age 80.1 years (range 65-107), they had higher rates of depression (2123; 33.5%) compared with the general sample (25 936; 14.8%) and a majority were assessed as not having independent decision-making (3855; 60.9%). The UDA group is distinct from the general sample and the UDA group broadly has similar but less extreme characteristics to the A-CAP group. Through altering the criteria for suspicion of EA, capture rates of at-risk individuals could be more than doubled from 2.5% to 5.9%.

CONCLUSIONS

We propose that via adapting the interRAI-HC criteria to include the UDA category, the identification of older adults at risk of EA could be substantially improved, facilitating enhanced protection of this vulnerable population.

Integrating a Standardized Self-Report Tool into Geriatric Medicine Practice during the COVID-19 Pandemic: A Mixed-Methods Study

Specialized geriatric services care for older adults (≥ 65 years of age) with dementia and other progressive neurological disorders, frailty, and mental health conditions were provided both virtually and in person during the pandemic. The objective of this study was to implement a software-enabled standardized self-report instrument - the interRAI Check-Up Self-Report - to remotely assess patients. A convergent, mixed-methods research design was employed. Staff found the instrument easy to use and the program-level metrics helpful for planning. Most patients urgently needed a geriatrician assessment (72%) and had moderate to severe cognitive (34%) and functional impairments (34%), depressive symptoms (53%), loneliness (57%), daily pain (32%), and distressed caregivers (46%). Implementation considerations include providing ongoing support and facilitating intersectoral collaboration. The Check Up enhanced the geriatric assessment process by creating a system to track all needs for immediate and future care at both the patient and program level.

Analysing Realistic effects of modifiable risk factors for dementia in a large National Dataset

BACKGROUND

Modifiable risk factors affect 40% of dementia risk thus creating an opportunity for prevention or delay. The risk factor life-course model of dementia prevention by the Lancet Commission has yet to be tested in the general populations. We aimed to assess the model's assumptions in a large national dataset of older adults assessed for support services.

METHODS

The interRAI assessment is a comprehensive evidence-based tool encompassing 236 items that is mandatory in New Zealand (NZ) for older adults providing a standardized national dataset. We tested the Lancet model of dementia prevention in a sample of 66,638 participants who underwent an interRAI assessment during the period 2013-2018. There were 59% female interviewees; mean age was 82 years (range: 65-107). Our cross-sectional dataset analysis was performed in using a logistic regression model with diagnosis of dementia as the primary outcome.

RESULTS

The Lancet prevention model was supported in part. Hypertension, Hearing Impairment and past or present Depression increase risk of dementia. Age - increased risk demonstrated until 85 years; Gender - females at increased risk; BMI - initial effect of high BMI increases risk of dementia. However, exercise, diabetes, vision impairment and smoking as modifiable factors were not associated with dementia risk as predicted by the Lancet model.

CONCLUSIONS

Limitations of the dataset analysed may have affected our findings. Nevertheless, important modifiable factors are herein confirmed as increasing dementia risk. BMI, hypertension, hearing impairment and depression are risks confirmed in the older NZ population lending credibility to prevention efforts targeted at these variables.

Psychometric characteristics of comprehensive geriatric assessments (CGAs) for long-term care facilities and community care: A systematic review

BACKGROUND

Comprehensive Geriatric Assessments (CGAs) have been incorporated as an integrated care approach effective to face the challenges associated to uncoordinated care, risk of hospitalization, unmet needs, and care planning experienced in older adult care. As they assessed different dimensions, is important to inform about the content and psychometric properties to guide the decisions when selecting and implementing them in practice. This systematic review provides a comprehensive insight on the strengths and weaknesses of the CGAs used in long-term care settings and community care.

METHODS

A systematic search was conducted in PubMed, CINAHL, and Web of Science Core Collection. Studies published up to July 13, 2021, were considered. Quality appraisal was performed for the included studies.

RESULTS

A total of 10 different CGAs were identified from 71 studies included. Three instruments were reported for long-term care settings, and seven for community care. The content was not homogenous and differed in terms of the detail and clearness of the areas being evaluated. Evidence for good to excellent validity and reliability was reported for various instruments.

CONCLUSIONS

Setting more specific and clear domains, associated to the special needs of the care setting, could improve informed decisions at the time of selecting and implementing a CGA. Considering the amount and quality of the evidence, the instrument development trajectory, the validation in different languages, and availability in different care settings, we recommend the interRAI LTCF and interRAI HC to be used for long-term facilities and community care.

Predictive factors of nonfatal self-harm among community-dwelling older adults assessed for support services

BACKGROUND

Older adults receiving support services are a population at risk for self-harm due to physical illness and functional impairment, which are known risk factors. This study aims to investigate the relative importance of predictive factors of nonfatal self-harm among older adults assessed for support services in New Zealand.

METHODS

interRAI-Home Care (HC) national data of older adults (aged ≥ 60) were linked to mortality and hospital discharge data between January 1, 2012 and December 31, 2016. We calculated the crude incidence of self-harm per 100,000 person-years, and gender and age-adjusted standardized incidence ratios (SIRs). The Fine and Gray competing risk regression model was fitted to estimate the hazard ratio (HR; 95% CIs) of self-harm associated with various demographic, psychosocial, clinical factors, and summary scales.

RESULTS

A total of 93,501 older adults were included. At the end of the follow-up period, 251 (0.27%) people had at least one episode of nonfatal self-harm and 36,333 (38.86%) people died. The overall incidence of nonfatal self-harm was 160.39 (95% CI, 141.36-181.06) per 100,000 person-years and SIR was 5.12 (95% CI, 4.51-5.78), with the highest incidence in the first year of follow-up. Depression diagnosis (HR, 3.02, 2.26-4.03), at-risk alcohol use (2.38, 1.30-4.35), and bipolar disorder (2.18, 1.25-3.80) were the most significant risk factors. Protective effects were found with cancer (0.57, 0.36-0.89) and severe level of functional impairment measured by Activities of Daily Living (ADL) Hierarchy Scale (0.56, 0.35-0.89).

CONCLUSION

Psychiatric factors are the most significant predictors for nonfatal self-harm among older adults receiving support services. Our results can be used to inform healthcare professionals for timely identification of people at high risk of self-harm and the development of more efficient and targeted prevention strategies, with specific attention to individuals with depression or depressive symptoms, particularly in the first year of follow-up.

Creating opportunities to improve detection of older adult abuse: a national interRAI study

Despite being recognized as a major global health issue, older adult abuse (OAA) remains largely undetected and under-reported. Most OAA assessment tools fail to capture true prevalence. Follow up of patients where abuse exposure is not easily determined is a necessity. The interRAI-HC (International Resident Assessment Instrument—Home Care) currently underestimates the extent of abuse. We investigated how to improve detection of OAA using the interRAI-HC. Analysis of 7 years of interRAI-HC data from an Aotearoa New Zealand cohort was completed. We identified that through altering the criteria for suspicion of OAA, capture rates of at-risk individuals could be nearly doubled from 2.6% to 4.8%. We propose that via adapting the interRAI-HC criteria to include the "unable to determine" whether abuse occurred (UDA) category, identification of OAA sufferers could be substantially improved. Improved identification will facilitate enhanced protection of this vulnerable population.

Adjusting Client-Level Risks Impacts on Home Care Organization Ranking

Quality indicators (QIs) based on the Resident Assessment Instrument-Home Care (RAI-HC) offer the opportunity to assess home care quality and compare home care organizations’ (HCOs) performance. For fair comparisons, providers’ QI rates must be risk-adjusted to control for different case-mix. The study’s objectives were to develop a risk adjustment model for worsening or onset of urinary incontinence (UI), measured with the RAI-HC QI bladder incontinence, using the database HomeCareData and to assess the impact of risk adjustment on quality rankings of HCOs. Risk factors of UI were identified in the scientific literature, and multivariable logistic regression was used to develop the risk adjustment model. The observed and risk-adjusted QI rates were calculated on organization level, uncertainty addressed by nonparametric bootstrapping. The differences between observed and risk-adjusted QI rates were graphically assessed with a Bland-Altman plot and the impact of risk adjustment examined by HCOs tertile ranking changes. 12,652 clients from 76 Swiss HCOs aged 18 years and older receiving home care between 1 January 2017, and 31 December 2018, were included. Eight risk factors were significantly associated with worsening or onset of UI: older age, female sex, obesity, impairment in cognition, impairment in hygiene, impairment in bathing, unsteady gait, and hospitalization. The adjustment model showed fair discrimination power and had a considerable effect on tertile ranking: 14 (20%) of 70 HCOs shifted to another tertile after risk adjustment. The study showed the importance of risk adjustment for fair comparisons of the quality of UI care between HCOs in Switzerland.

Home care quality indicators based on the Resident Assessment Instrument-Home Care (RAI-HC): a systematic review

BACKGROUND

One way of measuring the quality of home care are quality indicators (QIs) derived from data collected with the Resident Assessment Instrument-Home Care (RAI-HC). In order to produce meaningful results for quality improvement and quality comparisons across home care organizations (HCOs) and over time, RAI-HC QIs must be valid and reliable. The aim of this systematic review was to identify currently existing RAI-HC QIs and to summarize the scientific knowledge on the validity and reliability of these QIs.

METHODS

A systematic review was performed using the electronic databases PubMed, CINAHL, Embase, PsycINFO and Cochrane Library. Studies describing the development process or the psychometric characteristics of RAI-HC QIs were eligible. The data extraction involved a general description of the included studies as well as the identified RAI-HC QIs and information on validity and reliability. The methodological quality of the identified RAI-HC QI sets was assessed using the Appraisal of Indicators through Research and Evaluation (AIRE) instrument.

RESULTS

Four studies out of 659 initial hits met the inclusion criteria. The included studies described the development and validation process of three RAI-HC QI sets comprising 48 unique RAI-HC QIs, which predominantly refer to outcome of care. Overall, the validity and reliability of the identified RAI-HC QIs were not sufficiently tested. The methodological quality of the three identified RAI-HC QI sets varied across the four AIRE instrument domains. None of the QI sets reached high methodological quality, defined as scores of 50% and higher in all four AIRE instrument domains.

CONCLUSIONS

This is the first review that systematically summarized and appraised the available scientific evidence on the validity and reliability of RAI-HC QIs. It identified insufficient reporting of RAI-HC QIs validation processes and reliability as well as missing state-of-the-art methodologies. The review provides guidance as to what additional validity and reliability testing are needed to strengthen the scientific soundness of RAI-HC QIs. Considering that RAI-HC QIs are already implemented and used to measure and compare quality of home care, further investigations on RAI-HC QIs reliability and validity is recommended.

Depressive symptoms in long term care facilities in Western Canada: a cross sectional study

BACKGROUND

The main objective is to better understand the prevalence of depressive symptoms, in long-term care (LTC) residents with or without cognitive impairment across Western Canada. Secondary objectives are to examine comorbidities and other factors associated with of depressive symptoms, and treatments used in LTC.

METHODS

11,445 residents across a random sample of 91 LTC facilities, from 09/2014 to 05/2015, were stratified by owner-operator model (private for-profit, public or voluntary not-for-profit), size (small: < 80 beds, medium: 80-120 beds, large > 120 beds), location (Calgary and Edmonton Health Zones, Alberta; Fraser and Interior Health Regions, British Columbia; Winnipeg Health Region, Manitoba). Random intercept generalized linear mixed models with depressive symptoms as the dependent variable, cognitive impairment as primary independent variable, and resident, care unit and facility characteristics as covariates were used. Resident variables came from the Resident Assessment Instrument - Minimum Data Set (RAI-MDS) 2.0 records (the RAI-MDS version routinely collected in Western Canadian LTC). Care unit and facility variables came from surveys completed with care unit or facility managers.

RESULTS

Depressive symptoms affects 27.1% of all LTC residents and 23.3% of LTC resident have both, depressive symptoms and cognitive impairment. Hypertension, urinary and fecal incontinence were the most common comorbidities. Cognitive impairment increases the risk for depressive symptoms (adjusted odds ratio 1.65 [95% confidence interval 1.43; 1.90]). Pain, anxiety and pulmonary disorders were also significantly associated with depressive symptoms. Pharmacologic therapies were commonly used in those with depressive symptoms, however there was minimal use of non-pharmacologic management.

CONCLUSIONS

Depressive symptoms are common in LTC residents -particularly in those with cognitive impairment. Depressive symptoms are an important target for clinical intervention and further research to reduce the burden of these illnesses.

No seasonal influence on cognitive performance in a national sample of older adults in New Zealand

OBJECTIVES

A recent North American study reported seasonal differences in cognitive functioning in older adults. We assessed seasonality of cognitive functioning in a large data set of older adults in New Zealand.

METHODS

The International Residential Assessment Instrument-Home Care (interRAI-HC) data set was analysed using a non-parametric method for testing seasonal distribution of cognitive and depression scale scores.

RESULTS

Participants were 73 285 New Zealanders 65 years and older who completed their first interRAI-HC assessment (mean age, 81.4 years; 57% female). We analysed this sample cross-tabulating season (summer, autumn, winter and spring) and the Cognitive Performance Scale (CPS) score (Kruskal-Wallis test, P = 0.45). Month-by-month CPS scores also demonstrated no variation (Spearman's test, P = 0.96). There was no association between season of assessment and the Depression Rating Scale score, ruling out variability in affect impacting on cognitive performance (Kruskal-Wallis test, P = 0.99).

CONCLUSION

Our findings, limited to the Southern Hemisphere, demonstrate a lack of seasonality in cognitive performance and impairment in older adults.