Dataset Information

Validation of the Good Spirit, Good Life quality-of-life tool for older Aboriginal Australians.

ABSTRACT:

Objective

Improving the quality of life (QoL) of older people is a key priority for governments, clinicians, researchers and service providers worldwide. However, the lack of culturally appropriate QoL tools for First Nations people is a major barrier to such efforts. The purpose of this study was to evaluate the psychometric properties of the Good Spirit, Good Life (GSGL) QoL tool for older Aboriginal Australians.

Methods

One hundred and twenty older Aboriginal people living in Perth and Melbourne, Australia, were administered the GSGL tool, along with several other instruments assessing cognition (KICA-Cog), depression (KICA-Dep), anxiety (GAI-SF), health and well-being (EQ-5D-5L and ICECAP-O) and resilience (ARRQ-25). Associations between these instruments and the GSGL tool were explored to determine concurrent and known-groups validity. Internal consistency was assessed with split-half reliability and Cronbach's alpha. Exploratory factor analysis was performed to investigate construct validity.

Results

GSGL scores were positively correlated with ICECAP-O and ARRQ-25 scores, and negatively correlated with EQ-5D-5L score. GSGL scores differed significantly between participants with a probable anxiety disorder or depression, but not those with cognitive impairment. The Spearman-Brown prophecy estimate was 0.83 and Cronbach's alpha was 0.75. Principal component analysis identified two factors, which were labelled foundation and external.

Conclusions

The GSGL tool is a valid tool to assess quality of life in older Aboriginal Australians. The tool demonstrates acceptable convergent, concurrent and known-groups validity. It was co-designed at all stages with older Aboriginal people contributing to its strong face and content validity.

SUBMITTER: Gilchrist L

PROVIDER: S-EPMC10946526 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Publications

Validation of the Good Spirit, Good Life quality-of-life tool for older Aboriginal Australians.

Gilchrist Lianne L Hyde Zoë Z Petersen Carina C Douglas Harry H Hayden Shondell S Bessarab Dawn D Flicker Leon L LoGiudice Dina D Ratcliffe Julie J Clinch Christine C Taylor Kevin K Bradley Kate K Smith Kate K

Australasian journal on ageing 20220909 2

<h4>Objective</h4>Improving the quality of life (QoL) of older people is a key priority for governments, clinicians, researchers and service providers worldwide. However, the lack of culturally appropriate QoL tools for First Nations people is a major barrier to such efforts. The purpose of this study was to evaluate the psychometric properties of the Good Spirit, Good Life (GSGL) QoL tool for older Aboriginal Australians.<h4>Methods</h4>One hundred and twenty older Aboriginal people living in P ...[more]

PMID: 36085595

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Project description:BackgroundAged-care programs that are based in First Nations worldviews are believed to translate to improved quality of life for First Nations Elders. First Nations perspectives of health and well-being incorporates social and cultural determinants in addition to traditional Western biomedical approaches. This is exemplified by the Good Spirit Good Life (GSGL) framework, which comprises 12 strength-based factors determined by First Nations Elders as constituting culturally appropriate ageing. Our objective was to conduct a systematic review of existing aged care models of practice to determine the degree of alignment with the GSGL framework. Recommendations of the national Australian Royal Commission into Aged Care Quality and Safety informed this work.MethodsWe conducted a systematic search of academic and grey literature in the PubMed, Scopus, Ovid Embase, and Informit online databases. Inclusion criteria comprised English language, original research describing the implementation of First Nations culturally appropriate aged care models, published before August 2022. Research that was not focused on First Nations Elders' perspectives or quality of life was excluded. We subsequently identified, systematically assessed, and thematically analyzed 16 articles. We assessed the quality of included articles using the Aboriginal and Torres Strait Islander Quality Assessment Tool (ATSIQAT), and the Joanna Briggs Institute (JBI) critical appraisal tool for qualitative research.ResultsMost studies were of medium to high quality, while demonstrating strong alignment with the 12 GSGL factors. Nine of the included studies detailed whole service Models of care while 7 studies described a single program or service element. Thematic analysis of included studies yielded 9 enablers and barriers to implementing models of care.ConclusionsBest-practice First Nations aged care requires a decolonizing approach. Programs with strong adherence to the 12 GSGL factors are likely to improve Elders' quality of life.

Project description:IntroductionAustralia's population is steadily growing older, with older persons expected to make up over 20% of the population by 2066. Ageing is strongly associated with a significant drop in cognitive ability, ranging from mild cognitive impairment to severe cognitive impairment (dementia). This study examined the association between cognitive impairment and health-related quality of life (HRQoL) in older Australians.MethodsTwo waves of longitudinal data from the nationally representative Household, Income and Labour Dynamics in Australia (HILDA) survey were utilised, with the age cut-off for older Australians defined as above 50. The final analysis included 10,737 person-year observations from 6892 unique individuals between 2012 and 2016. This study utilised the Backwards Digit Span (BDS) test and Symbol Digit Modalities test (SDMT) to assess cognitive function. HRQoL was measured using the physical and mental component summary scores of the SF-36 Health Survey (PCS and MCS). Additionally, HRQoL was measured using health state utility values (SF-6D score). A longitudinal random-effects GLS regression model was used to analyse the association between cognitive impairment and HRQoL.ResultsThis study found that approximately 89% of Australian adults aged 50 or older had no cognitive impairment, 10.16% had moderate cognitive impairment, and 0.72% had severe cognitive impairment. This study also found that moderate and severe cognitive impairment were both negatively associated with HRQoL. Older Australians with moderate cognitive impairment scored worse on the PCS (β = - 1.765, SE = 0.317), MCS (β = - 1.612, SE = 0.326), and SF-6D (β = - 0.024, SE = 0.004) than peers without cognitive impairment given other covariates reference categories remain constant. Older adults experiencing severe cognitive had lower PCS (β = - 3.560, SE = 1.103), and SF-6D (β = - 0.034, SE = 0.012) scores compared to their counterparts with no cognitive impairment given other covariates reference categories remain constant.ConclusionWe found evidence that HRQoL is negatively associated with cognitive impairment. Our findings will be beneficial for the future cost-effectiveness intervention targeted at reducing cognitive impairment since it provides information on the disutility associated with moderate and severe cognitive impairment.

Dataset Information

Validation of the Good Spirit, Good Life quality-of-life tool for older Aboriginal Australians.

Objective

Methods

Results

Conclusions

Publications

Validation of the Good Spirit, Good Life quality-of-life tool for older Aboriginal Australians.

Similar Datasets

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