Quality of life of older Australians receiving home nursing services for complex care needs

Robinson, Elizabeth S.; Cyarto, Elizabeth; Ogrin, Rajna; Green, Maja; Lowthian, Judy

doi:10.1111/hsc.14046

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…However, multimorbidity is poorly understood and is combated by a compartmentalised healthcare system, originally designed under a single-disease framework. This model leads to fragmented, costly and ineffective care, leading to individuals living with multimorbidity not getting the complex care they need [2, 3]. Improving our understanding of multimorbidity may help inform clinical decisions to improve patient services and outcomes, as well as help relieve some of the burden on healthcare services and available resources.…”

Section: Introductionmentioning

confidence: 99%

Representing multimorbid disease progressions using directed hypergraphs

Burke,

Akbari,

Bailey

et al. 2023

Preprint

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ObjectiveTo introduce directed hypergraphs as a novel tool for assessing the temporal relationships between coincident diseases, addressing the need for a more accurate representation of multimorbidity and leveraging the growing availability of electronic healthcare databases and improved computational resources.MethodsDirected hypergraphs offer a high-order analytical framework that goes beyond the limitations of directed graphs in representing complex relationships such as multimorbidity. We apply this approach to multimorbid disease progressions observed from two multimorbidity sub-cohorts of the SAIL Databank, after having been filtered according to the Charlson and Elixhauser comorbidity indices, respectively. After constructing a novel weighting scheme based on disease prevalence, we demonstrate the power of these higher-order models through the use of PageRank centrality to detect and classify the temporal nature of conditions within the two comorbidity indices.ResultsIn the Charlson population, we found that chronic pulmonary disease (CPD), cancer and diabetes were conditions observed early in a patient’s disease progression (predecessors), with stroke and dementia appearing later on (successors) and myocardial infarction acting as a transitive condition to renal failure and congestive heart failure. In Elixhauser, we found renal failure, neurological disorders and arrhythmia were classed as successors and hypertension, depression, CPD and cancer as predecessors, with diabetes becoming a transitive condition in the presence of obesity and alcohol abuse. The dynamics of these and other conditions changed across age and sex but not across deprivation. Unlike the directed graph, the directed hypergraph could model higher-order disease relationships, which translated into stronger classifications between successor and predecessor conditions, alongside the removal of spurious results.ConclusionThis study underscores the utility of directed hypergraphs as a powerful approach to investigate and assess temporal relationships among coincident diseases. By overcoming the limitations of traditional pairwise models, directed hypergraphs provide a more accurate representation of multimorbidity, offering insights that can significantly contribute to healthcare decision-making, resource allocation, and patient management. Further research holds promise for advancing our understanding of critical issues surrounding multimorbidity and its implications for healthcare systems.

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Section: Introductionmentioning

confidence: 99%

Representing multimorbid disease progressions using directed hypergraphs

Burke,

Akbari,

Bailey

et al. 2023

Preprint

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Effect of older age care reform on hospitals and quality of life

Chan

2023

The Lancet Healthy Longevity

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The Experiences of Older Chinese Migrants with Chronic Diseases during COVID-19 Pandemic in Australia

Xiao

Bickford

et al. 2023

Health & Social Care in the Community

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The aim of the study was to understand older Chinese migrants’ perceptions of social cohesion and access to health to manage chronic diseases during the COVID-19 pandemic in Australia. This study employed a qualitative descriptive study design. Participants were recruited from a Chinese community organisation in an Australian state. Data were collected via online interviews with participants using Zoom and WeChat Apps. A semistructured interview guide informed by the social determinants of health framework was used in the interview. The data collection period was between August and October, 2020. Thematic analysis was used in data analysis. In total, 24 participants including 17 older Chinese migrants with noncommunicable chronic diseases and seven family carers participated in the study. Of the 17 older Chinese migrants, 10 were male and seven were female. Their mean age was 76 years (ranging from 65 to 86) and they spoke little English. All seven carers were females with a mean age of 61 years (ranging from 35 to 76). Three main themes were identified in the study and described as: increased loneliness, anxiety, and depression; increased difficulties in accessing healthcare services; and various experiences in telehealth. In conclusion, older Chinese-Australians who spoke little English and lived with chronic diseases experienced the loss of their only social capital during the COVID-19 pandemic. They faced language barriers for accessing and utilising primary care to manage their chronic diseases when these care services were changed into telehealth during the COVID-19 pandemic. Findings provide a clear direction for stakeholders to take actions to address the lack of social cohesion and health inequalities for the most vulnerable populations in the community during the COVID-19 pandemic and beyond.

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Quality of life of older Australians receiving home nursing services for complex care needs

Cited by 4 publications

References 32 publications

Representing multimorbid disease progressions using directed hypergraphs

Representing multimorbid disease progressions using directed hypergraphs

Effect of older age care reform on hospitals and quality of life

The Experiences of Older Chinese Migrants with Chronic Diseases during COVID-19 Pandemic in Australia

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