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BACKGROUND: Maori (the Indigenous people of Aotearoa New Zealand (NZ)) are more likely to experience injury than non-Maori, but less likely to have effective access to publicly funded injury care services. It is unknown if this pattern extends into older age. This retrospective study analysed Accident Compensation Corporation (ACC; national no-fault injury compensation scheme) claims data to investigate ethnic variation in unintentional injury claims and related costs for older adults (≥50 years). METHODS: Injury claims data for older adults residing in two regions of NZ between January 2014 and December 2018 were reviewed. Age-standardised claims rates (per person year) standardised rate ratios were calculated and compared between Maori and non-Maori. ACC claim costs (medical treatment; earning-related compensation) were estimated, with total and average costs per claim compared between the two groups. RESULTS: There were 149 275 ACC claims (18 369 Maori; 130 906 non-Maori) among 64 238 individuals (9284 Maori; 54 954 non-Maori). The age-standardised rate of ACC claims for unintentional injury was 46% higher among non-Maori (95% CI 44% to 48%) than Maori. The ACC spend for non-Maori was NZ$155 277 962 compared with NZ$30 446 673 for Maori. Maori had a significantly higher average cost per claim (NZ$1658 vs NZ$1186, p<0.001). CONCLUSIONS: Results of this study highlight differences in the manner in which different groups of older adults access injury compensation in NZ, indicating the need to invest in injury prevention initiatives that target older Maori, as well as initiatives supporting improved ACC access for older Maori.
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INTRODUCTION: Asthma attacks are a leading cause of morbidity and mortality but are preventable in most if detected and treated promptly. However, the changes that occur physiologically and behaviourally in the days and weeks preceding an attack are not always recognised, highlighting a potential role for technology. The aim of this study 'DIGIPREDICT' is to identify early digital markers of asthma attacks using sensors embedded in smart devices including watches and inhalers, and leverage health and environmental datasets and artificial intelligence, to develop a risk prediction model to provide an early, personalised warning of asthma attacks. METHODS AND ANALYSIS: A prospective sample of 300 people, 12 years or older, with a history of a moderate or severe asthma attack in the last 12 months will be recruited in New Zealand. Each participant will be given a smart watch (to assess physiological measures such as heart and respiratory rate), peak flow meter, smart inhaler (to assess adherence and inhalation) and a cough monitoring application to use regularly over 6 months with fortnightly questionnaires on asthma control and well-being. Data on sociodemographics, asthma control, lung function, dietary intake, medical history and technology acceptance will be collected at baseline and at 6 months. Asthma attacks will be measured by self-report and confirmed with clinical records. The collected data, along with environmental data on weather and air quality, will be analysed using machine learning to develop a risk prediction model for asthma attacks. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the New Zealand Health and Disability Ethics Committee (2023 FULL 13541). Enrolment began in August 2023. Results will be presented at local, national and international meetings, including dissemination via community groups, and submission for publication to peer-reviewed journals. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry ACTRN12623000764639; Australian New Zealand Clinical Trials Registry.
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Inteligencia Artificial , Asma , Adolescente , Adulto , Niño , Femenino , Humanos , Masculino , Nebulizadores y Vaporizadores , Nueva Zelanda , Estudios Observacionales como Asunto , Estudios ProspectivosRESUMEN
INTRODUCTION: The global population is ageing, and by 2050, there will be almost 2.1 billion people over the age of 60 years. This ageing population means conditions such as diabetes are on the increase, as well as other conditions associated with ageing (and/or diabetes), including those that cause vision impairment, hearing impairment or foot problems. The aim of this scoping review is to identify the extent of the literature describing integration of services for adults of two or more of diabetes, eye, hearing or foot services. METHODS AND ANALYSIS: The main database searches are of Medline and Embase, conducted by an information specialist, without language restrictions, for studies published from 1 January 2000 describing the integration of services for two or more of diabetes, eye, hearing and foot health in the private or public sector and at the primary or secondary level of care, primarily targeted to adults aged ≥40 years. A grey literature search will focus on websites of key organisations. Reference lists of all included articles will be reviewed to identify further studies. Screening and data extraction will be undertaken by two reviewers independently and any discrepancies will be resolved by discussion. We will use tables, maps and text to summarise the included studies and findings, including where studies were undertaken, which services tended to be integrated, in which sector and level of the health system, targeting which population groups and whether they were considered effective. ETHICS AND DISSEMINATION: As our review will be based on published data, ethical approval will not be sought. This review is part of a project in Aotearoa New Zealand that aims to improve access to services for adults with diabetes or eye, hearing or foot conditions. The findings will be published in a peer-reviewed journal and presented at relevant conferences.