Exploring the measure of potentially avoidable general practitioner-type presentations to the emergency department in regional Queensland using linked, patient-perspective data

Objective. To explore measures of potentially avoidable general practitioner (PAGP)-type presentations to the emergency department (ED) of a large regional hospital in northern Queensland. Methods. Linkage of an ED administrative dataset to a face-to-face patient survey of local residents (n = 1000); calculation of Australian Institute of Health and Welfare (AIHW) and Australasian College of Emergency Medicine (ACEM) measures of PAGP-type presentations to the ED; and exploration of these measures with patient-perspective linked data. Results. PAGP-type presenters to the ED were younger in age (median age in years: total cohort: 49; AIHW 38, P , 0.001; ACEM 36, P , 0.001); with the odds of having a chronic condition being less likely for AIHW PAGP-type presenters than other ED presenters (OR (95% CI) 0.54 (0.38–0.77): P = 0.001)) after adjustment for age. PAGP-type presenters nominated reasons of convenience rather than urgency as their rationale for attending the ED, irrespective of measure. The number of PAGP-type presentations to the ED identified by the AIHW measure was more than three-fold higher than the ACEM measure (AIHW: n = 227; ACEM: n = 67). Influencing factors include the low proportion of ED attendees who had a medical consultation time of ,1 h at this hospital site (1-month survey period: 17.8%); and differences between the patient self-report and ED administrative record for 'self-referral to the ED' (Self-referred: Survey 71% vs EDIS 93%, P , 0.001). Conclusions. Identification of PAGP-type presentations to the ED could be enhanced with improvements to the quality of administrative processes when recording patient 'self-referral to the ED', along with further consideration of hospital site variation for the length of medical consultation time

Preventable hospitalisations in regional Queensland: potential for primary health?

Objective The aims of this study were to: (1) use local health data to examine potentially preventable hospitalisations (PPHs) as a proportion of total hospital separations and estimated costs to a large regional hospital in northern Queensland, including differences associated with Indigenous status; and (2) identify priority conditions and discuss issues related to strategic local primary health intervention. Methods A cross-sectional analysis was conducted using Queensland Hospital Admitted Patient Data Collection data (July 2012–June 2014) restricted to 51 087 separations generated by 29 485 local residents. PPHs were identified from the International Statistical Classification of Diseases and Related Health Problems 10th Revision Australian Modification (ICD-10-AM) and procedure codes using National Healthcare Agreement definitions. Age-standardised separation rates were calculated using Australian 2001 reference population and associated economic costs were estimated using Australian-refined diagnosis related groups. Results Eleven per cent (n = 5488) of all hospital separations were classified as PPH, and most were for common chronic (n = 2486; 45.3%) and acute (n = 2845; 51.8%) conditions. Because many acute presentations reflect chronic underlying disease, chronic conditions account for up to 76.5% of all PPHs. Age-standardised PPH rates were 3.4-fold higher for Indigenous than non-Indigenous people. Associated 2-year costs were AU$32.7 million, which was 10.7% of estimated total health care expenditure for hospital separations, and were higher for Indigenous (14.9%) than non-Indigenous (9.7%) people. Conclusions High hospitalisation rates and costs for common preventable chronic conditions represent opportunities for primary healthcare interventions. In particular, community-level health services need to be more responsive to the needs of local Indigenous families

Acceptability and usability of computerized cognitive assessment among Australian Indigenous residents of the Torres Strait Islands

Objectives: This cross-sectional study aimed to investigate the acceptability and usability of the Cogstate Brief Battery (CBB) in a community-based sample of Australian Indigenous people from the Torres Strait region, based on a user experience framework of human-computer interaction. Methods: Two-hundred community participants completed the four subtests of the CBB on an iPad platform, during a free adult health check on two islands in the region, between October and December 2016. Acceptability was defined as completing the learning trial of a task and usability as continuing a task through to completion, determined by examiner acumen and internal Cogstate completion and integrity criteria. These were combined into a single dichotomous completion measure for logistic regression analyses. Performance-measured as reaction times and accuracy of responses-was analyzed using linear regression analyses. Results: CBB completion ranged from 82.0% to 91.5% across the four tasks and the odds of completing decreased with age. After adjusting for age, iPad/tablet familiarity increased the odds of completion for all tasks while level of education and employment increased the odds for some tasks only. These variables accounted for 18.0%-23.8% of the variance in reaction times on speeded tasks. Age and education had the most effect, although semipartial correlations were modest. Conclusions: When administered in a health-screening context, the acceptability and usability of the CBB were greatest in young- to middle-aged participants with some education and iPad/tablet experience. Older and more vulnerable participants may have benefited from additional time and practice on the CBB prior to administration

Dementia Risk Models in an Australian First Nations Population: Cross-Sectional Associations and Preparation for Follow-Up

Background: Reducing the burden of dementia in First Nations populations may be addressed through developing population specific methods to quantify future risk of dementia. Objective: To adapt existing dementia risk models to cross-sectional dementia prevalence data from a First Nations population in the Torres Strait region of Australia in preparation for follow-up of participants. To explore the diagnostic utility of these dementia risk models at detecting dementia. Methods: A literature review to identify existing externally validated dementia risk models. Adapting these models to cross-sectional data and assessing their diagnostic utility through area under the receiver operating characteristic curve (AUROC) analyses and calibration using Hosmer-Lemeshow Chi2. Results: Seven risk models could be adapted to the study data. The Aging, Cognition and Dementia (AgeCoDe) study, the Framingham Heart Study (FHS), and the Brief Dementia Screening Indicator (BDSI) had moderate diagnostic utility in identifying dementia (i.e., AUROC >0.70) before and after points for older age were removed. Conclusion: Seven existing dementia risk models could be adapted to this First Nations population, and three had some cross-sectional diagnostic utility. These models were designed to predict dementia incidence, so their applicability to identify prevalent cases would be limited. The risk scores derived in this study may have prognostic utility as participants are followed up over time. In the interim, this study highlights considerations when transporting and developing dementia risk models for First Nations populations

Potentially preventable dementia in a First Nations population in the Torres Strait and Northern Peninsula Area of North Queensland, Australia: A cross sectional analysis using population attributable fractions

Dementia is highly prevalent among Australia's First Nations peoples, including Torres Strait Islander and Aboriginal peoples in Far North Queensland (FNQ). It is likely that historically recent exposure to modifiable risk factors underlies these rates, and a large proportion of dementia may be potentially preventable. Data from two adult community health checks (2015-2018) were analyzed to determine the prevalence of 11 modifiable dementia risk factors among the First Nations residents of the Torres Strait and Northern Peninsula Area of FNQ. Population attributable fractions (PAF%) for dementia were calculated using age-standardized prevalence estimates derived from these health checks and relative risks obtained from previous meta-analyses in other populations. PAF% estimates were weighted for communality to account for overlap of risk factors. Half (52·1%) of the dementia burden in this population may be attributed to 11 potentially modifiable risk factors. Hypertension (9·4%), diabetes mellitus (9·0%), obesity (8·0%), and smoking (5·3%) were the highest contributing risk factors. The contribution of depression (2·0%) and alcohol (0·3%) was lower than other global and national estimates. While the adjusted PAF% for social isolation was low based on the adult community health check data (1·6%), it was higher (4·2%) when official census data were analyzed. These results suggest that a substantial proportion of dementia in FNQ First Nations peoples could potentially be prevented. Government investment in preventative health now is essential to reduce the future burden of dementia

Potentially modifiable dementia risk factors in all Australians and within population groups: an analysis using cross-sectional survey data

Background: Dementia is the second leading cause of disease burden in Australia. We aimed to calculate the population attributable fractions (PAFs) of dementia attributable to 11 of 12 previously identified potentially modifiable health and social risk factors (less education, hearing loss, hypertension, obesity, smoking, depression, social isolation, physical inactivity, diabetes, alcohol excess, air pollution, and traumatic brain injury), for Australians overall and three population groups (First Nations, and those of European and Asian ancestry). Methods: We calculated the prevalence of dementia risk factors (excluding traumatic brain injury) and PAFs, adjusted for communality, from the cross-sectional National Aboriginal and Torres Strait Islander Health Survey (2018-19), National Aboriginal and Torres Strait Islander Social Survey (2014-15), National Health Survey (2017-18), and General Social Survey (2014) conducted by the Australian Bureau of Statistics. We conducted sensitivity analyses using proxy estimates for traumatic brain injury (12th known risk factor) for which national data were not available. Findings: A large proportion (38·2%, 95% CI 37·2-39·2) of dementia in Australia was theoretically attributable to the 11 risk factors; 44·9% (43·1-46·7) for First Nations Australians, 36·4% (34·8-38·1) for European ancestry, and 33·6% (30·1-37·2) for Asian ancestry. Including traumatic brain injury increased the PAF to 40·6% (39·6-41·6) for all Australians. Physical inactivity (8·3%, 7·5-9·2), hearing loss (7·0%, 6·4-7·6), and obesity (6·6%, 6·0-7·3) accounted for approximately half of the total PAF estimates across Australia, and for all three population groups. Interpretation: Our PAF estimates indicate a substantial proportion of dementia in Australia is potentially preventable, which is broadly consistent with global trends and results from other countries. The highest potential for dementia prevention was among First Nations Australians, reflecting the enduring effect of upstream social, political, environmental, and economic disadvantage, leading to greater life-course exposure to dementia risk factors. Although there were common dementia risk factors across different population groups, prevention strategies should be informed by community consultation and be culturally and linguistically appropriate

Potentially modifiable dementia risk factors in all Australians and within population groups: an analysis using cross-sectional survey data

Background: Dementia is the second leading cause of disease burden in Australia. We aimed to calculate the population attributable fractions (PAFs) of dementia attributable to 11 of 12 previously identified potentially modifiable health and social risk factors (less education, hearing loss, hypertension, obesity, smoking, depression, social isolation, physical inactivity, diabetes, alcohol excess, air pollution, and traumatic brain injury), for Australians overall and three population groups (First Nations, and those of European and Asian ancestry). // Methods: We calculated the prevalence of dementia risk factors (excluding traumatic brain injury) and PAFs, adjusted for communality, from the cross-sectional National Aboriginal and Torres Strait Islander Health Survey (2018–19), National Aboriginal and Torres Strait Islander Social Survey (2014–15), National Health Survey (2017–18), and General Social Survey (2014) conducted by the Australian Bureau of Statistics. We conducted sensitivity analyses using proxy estimates for traumatic brain injury (12th known risk factor) for which national data were not available. // Findings: A large proportion (38·2%, 95% CI 37·2–39·2) of dementia in Australia was theoretically attributable to the 11 risk factors; 44·9% (43·1–46·7) for First Nations Australians, 36·4% (34·8–38·1) for European ancestry, and 33·6% (30·1–37·2) for Asian ancestry. Including traumatic brain injury increased the PAF to 40·6% (39·6–41·6) for all Australians. Physical inactivity (8·3%, 7·5–9·2), hearing loss (7·0%, 6·4–7·6), and obesity (6·6%, 6·0–7·3) accounted for approximately half of the total PAF estimates across Australia, and for all three population groups. // Interpretation: Our PAF estimates indicate a substantial proportion of dementia in Australia is potentially preventable, which is broadly consistent with global trends and results from other countries. The highest potential for dementia prevention was among First Nations Australians, reflecting the enduring effect of upstream social, political, environmental, and economic disadvantage, leading to greater life-course exposure to dementia risk factors. Although there were common dementia risk factors across different population groups, prevention strategies should be informed by community consultation and be culturally and linguistically appropriate. // Funding: Australian National Health and Medical Research Council and University College London Hospitals’ National Institute for Health Research (NIHR) Biomedical Research Centre, and North Thames NIHR Applied Research Collaboration

Primary care biomarkers and dementia in people of the Torres Strait, Australia: extended data analysis

Objective: Dementia disproportionately affects First Nations populations. Biomarkers collected in primary care may assist with determining dementia risk. Our previous underpowered study showed some suggestive associations between baseline biomarkers with follow-up dementia or cognitive impairment. The current study extended this work with a larger linked dataset. Study design and setting: Probabilistic data linkage was used to combine four baseline datasets with one follow-up assessment of dementia status 0–20 years later in a First Nations population in Australia. Mixed Effects Generalized Linear Regression models were used to test associations between baseline measures and follow-up status, accounting for repeated measures within individuals. Results: Linked data were available for 88 individuals, with 101–279 baseline observations, depending on the type of measure. Higher urinary albumin to creatine ratio was associated with greater risk of cognitive impairment/dementia, whereas body weight and key lipid markers were negatively associated. There was no clear trend when these associations were examined by timing of measurement (i.e., ≤10 years or >10 years before a dementia assessment). Conclusions: The results of this study support findings from our previous work and indicate that microalbuminuria can be an early indicator of dementia risk in this population. The weight and lipid profile findings reflect the mixed results in the published literature and require further investigation and interpretation

Intestinal microbiology shapes population health impacts of diet and lifestyle risk exposures in torres strait islander communities

Poor diet and lifestyle exposures are implicated in substantial global increases in non-communicable disease burden in low-income, remote, and Indigenous communities. This observational study investigated the contribution of the fecal microbiome to influence host physiology in two Indigenous communities in the Torres Strait Islands: Mer, a remote island where a traditional diet predominates, and Waiben a more accessible island with greater access to takeaway food and alcohol. Counterintuitively, disease markers were more pronounced in Mer residents. However, island-specific differences in disease risk were explained, in part, by microbiome traits. The absence of Alistipes onderdonkii, for example, significantly (p=0.014) moderated island-specific patterns of systolic blood pressure in multivariate-adjusted models. We also report mediatory relationships between traits of the fecal metagenome, disease markers, and risk exposures. Understanding how intestinal microbiome traits influence response to disease risk exposures is critical for the development of strategies that mitigate the growing burden of cardiometabolic disease in these communities

When chronic conditions become emergencies: a report from regional Queensland

Objective: To describe chronic conditions and injuries as a proportion of total emergency presentations to a large public hospital in regional Queensland, and to investigate differences in presentation rates associated with Indigenous status.\ud \ud Design: Cross-sectional analysis using Emergency Department Information System data between 1 July 2012 and 30 June 2014.\ud \ud Setting: Regional Queensland, Australia.\ud \ud Participants: A total of 95 238 emergency presentations were generated by 50 083 local residents living in the 10 statistical local areas (SLAs) immediately around the hospital.\ud \ud Main outcome measures: Emergency presentations for chronic conditions and injuries identified from discharge ICD-10-AM principal diagnosis. Age-standardised presentation rates were calculated using the Australian 2001 reference population.\ud \ud Results: Approximately half of all presentations were for chronic conditions (20.2%) and injuries (28.8%). Two-thirds of all chronic condition presentations were for mental and behavioural disorders (34.6%) and circulatory diseases (33.2%). Head injuries accounted for the highest proportion of injuries (18.9%). Age-standardised rates for major diagnostic groups were consistently higher for Indigenous residents, whose presentations were lower in mean age (95% CI) by 7.7 (7.3–8.1) years, 23% less likely to be potentially avoidable GP-type presentations [RR (95% CI) = 0.77 (0.75–0.80)], 30% more likely to arrive by ambulance [1.31 (1.28–1.33)] and 11% more likely to require hospital admission [1.11 (1.08–1.13)].\ud \ud Conclusions: Opportunities exist to enhance current coordinated hospital avoidance and primary health services in regional Queensland targeting common mental and circulatory disorders, especially for Indigenous Australians