New Zealand regions, 1986 – 2001: Hospitalisation and some related health facts

Once age and gender composition is controlled for, regional health differentials are a function of problems of health service delivery, of socio-economic variance, and overall Māori Pakeha health differences. They indicate relative levels of exclusion and of inequality. This paper shows that these differentials follow in general the patterns seen in other papers in this series

Restructuring and hospital care: Sub-national trends, differentials, and their impacts; New Zealand from 1981

An analysis of the "nation's health" is the central concern of this study. Its genesis was a detailed, technical, time-series research on regional and ethnic differentials in health in New Zealand. But as this work progressed it became increasingly evident that the results of this more narrow analysis could make a wider contribution to the development of a knowledge-base on health trends and on the impacts of policy on these. In a sense, the analysis provides a demographic audit of health trends over the last two decades. The focus here is different from that in most other studies on restructuring of the New Zealand health system as their concern was either to review in detail the rewriting of policy per se, and attendant structural and institutional changes (Fougere 2001), or to identify how these changes relate to changes in mortality (Blakely et al. 2008). The research question reported here was, instead, to analyse the most crucial of health outcomes, „how long we live and how often we end up in hospital‟, identified in the earlier quotation, to report patterns and trends in hospital use nationally and sub-nationally over the period under review, and to determine the degrees to which various sub-populations benefited, or did not benefit, from these changes. The analysis focuses on the hospital sector in the system, but it will also show relations between this and other sectors, formal (e.g. primary health) and less formal (notably the healthcare afforded sickness and invalid beneficiaries). Thus two questions are addressed: 1. whether or not the nation‟s population health improved over the period and; 2. whether or not there was a convergence in patterns of health gain across its constituent sub-populations defined geographically and ethnically. This monograph deals with sub-national differences in health in New Zealand over a period of substantial socio-economic restructuring and associated radical changes in health policy, health systems and their related information systems (see also, Text Appendix A). It complements the recently published analysis of national ethnic trends in mortality (Blakely et al. 2004), but differs in several critical respects. That study reviewed health status by emphasising aetiologies and causes of death. In contrast, the present analysis focuses on actuarial dimensions of both mortality and morbidity and on health as measured by functional capacity rather than the disease orientated „burden of disease‟. It goes beyond health status issues to look at the system itself, to assess whether health policy outcomes were generated more through efficiency-gain (economic or service delivery, such as those resulting in a convergence sub-nationally of supply and demand effects), or through health gains, or ideally, by both. To do this, and as a by-product to analyse changes in health status and the system in an era of restructuring, innovative methodologies and composite time-series indices combining the two dimensions of a „nation‟s health‟, needing hospital care and longevity, have had to be custom-designed. To achieve this objective, the ensuing analysis is often technical, and may introduce concepts that are unfamiliar to some readers. In order to look at possible inequalities of outcome, comparisons were made between regions and ethnic groups, as well as age-groups and genders, and as a result, in places the analysis becomes rather complex

General practitioners’ perceptions of their communication with Australian Aboriginal patients with acquired neurogenic communication disorders

Objective: Aboriginal people have high rates of stroke and traumatic brain injury (TBI), often with residual, chronic communication deficits and multiple co-morbidities. This study examined general practitioners’ (GPs’) perceptions of their communication with Aboriginal patients with acquired communication disorders (ACD) after brain injury. Effective communication underpins good care but no previous research has explored this specific context. Methods: A qualitative descriptive approach was employed using interviews and focus groups with 23 GPs from metropolitan Perth and five regional sites in Western Australia. Data were analysed thematically. Results: GPs reported low visibility of Aboriginal patients with ACD in their practices, minimal training on neurogenic ACD, and difficulty distinguishing ACD from cultural-linguistic factors. They had few communication resources, and depended on families and Aboriginal Health Workers to assist in interactions. They rarely used formal interpreting services or referred to speech pathology. They reported communication (dis)ability having low priority in consultations. Conclusion: GPs report difficulty recognising ACD and their lack of prioritising assessment and treatment of communication ability after brain injury potentially compounds the disadvantage and disempowerment experienced by many Aboriginal people. Practice implications: GPs require further communication and cultural training. Improved access to speech pathology and formal interpreting services would be beneficial

“You felt like a prisoner in your own self, trapped”: The experiences of Aboriginal people with acquired communication disorders

Purpose: Aboriginal Australians are under-represented in brain injury rehabilitation services despite a high incidence of both stroke and traumatic brain injury in this population. This study aimed to explore the experiences of Aboriginal Australian adults with acquired communication disorders (ACDs) after brain injury for the first time to inform the development of accessible and culturally secure service delivery models. Methods and materials: Semi-structured interviews were undertaken with 32 Aboriginal people who had experienced a brain injury resulting in ACDs (aged 35–79 years) and 18 family members/carers across Western Australia. Thematic analysis identified common themes across participants. Results: Overall themes related to communication (both related to the communication disorder and general healthcare interactions), health and social contexts, recovery, and support, being away from family and country, knowledge and beliefs about brain injury, and follow-up. Conclusions: An increase in healthcare staff’s appreciation of the health and social contexts of Aboriginal people after brain injury is needed in order to improve communication with Aboriginal patients and the ability to offer accessible rehabilitation services. Ongoing support is required, with cultural identity noted as key to ensuring cultural security and ultimately recovery. Involvement of family and other Aboriginal people in recovery processes, as well as access to relevant Aboriginal languages and proximity to ancestral lands is central. Implications for rehabilitation Acknowledgment of cultural identity and strengths through involvement of extended family and Aboriginal Hospital Liaison Officers, access to language and proximity to country all central to rehabilitation planning for Aboriginal people after brain injury. Cultural security training for rehabilitation staff is recommended focusing on clear two-way communication skills to make medical information accessible for Aboriginal patients and to listen to patients’ concerns in a way that respects cultural context. Information regarding practical support and implications for ongoing management of life after brain injury (for the person and their family) is essential, and should supplement the medical-related information provided. Follow-up post discharge from hospital best facilitated through establishing contact with local Aboriginal community through Aboriginal community controlled health services, community elders, and Aboriginal health workers across organisations

Statistical analysis plan for the stepped-wedge clinical trial Healing Right Way - Enhancing rehabilitation services for Aboriginal Australians after brain injury

Background: Aboriginal Australians are known to suffer high levels of acquired brain injury (stroke and traumatic brain injury) yet experience significant barriers in accessing rehabilitation services. The aim of the Healing Right Way trial is to evaluate a culturally secure intervention for Aboriginal people with newly acquired brain injury to improve their rehabilitation experience and quality of life. Following publication of the trial protocol, this paper outlines the statistical analysis plan prior to locking the database. Methods: The trial involves a stepped wedge design with four steps over 3 years. Participants were 108 adult Aboriginal Australians admitted to one of eight hospitals (four rural, four urban) in Western Australia within 6 weeks of onset of a new stroke or traumatic brain injury who consented to follow-up for 26 weeks. All hospital sites started in a control phase, with the intervention assigned to pairs of sites (one metropolitan, one rural) every 26 weeks until all sites received the intervention. The two-component intervention involves training in culturally safe care for hospital sites and enhanced support provided to participants by Aboriginal Brain Injury Coordinators during their hospital stay and after discharge. The primary outcome is quality of life as measured by the Euro QOL–5D-3L VAS. A mixed effects linear regression model will be used to assess the between-group difference at 26 weeks post-injury. The model will control for injury type and severity, age at recruitment and time since commencement of the trial, as fixed effects. Recruitment site and participant will be included as random effects. Secondary outcomes include measurements of function, independence, anxiety and depression, carer strain, allied health occasions of service received and hospital compliance with minimum processes of care based on clinical guidelines and best practice models of care. Discussion: The trial will provide the first data surrounding the effectiveness of an intervention package for Aboriginal people with brain injury and inform future planning of rehabilitation services for this population. The statistical analysis plan outlines the analyses to be undertaken. Trial registration: Australia New Zealand Clinical Trials Registry ACTRN12618000139279. Registered 30 January, 2018

Describing hospital utilisation and associated factors following stroke using linked clinical registry and hospital administrative data.

Introduction Survivors of stroke have complex needs from ongoing disabilities and have increased risk of cardiovascular diseases. The societal costs are therefore substantial. Person-level longitudinal data on the longer-term hospital utilizations of patients with stroke in Australia, and the factors that may influence usage in this setting, are rarely reported. Objectives and Approach We used person-level linkages between the Australian Stroke Clinical Registry (AuSCR: 2009-2013) and hospital admission and Emergency Department (ED) data from four states to examine determinants of hospital utilisation following stroke. The index event was the first event recorded in AuSCR. The rate of hospital contacts/person/year was calculated from contacts 30-365 days post-discharge. Disability was determined from responses to EQ-5D-3L data collected at 90-180 days post-stroke. Comorbidities were identified using ICD-10 discharge diagnosis codes (5 year look back including the index event). Negative binomial regression was used adjusting for patient clustering by hospital and pre-stroke contacts and stratified by disability. Results Among 10,082 adults with acute stroke (55% male, median age 74 years, 81% ischaemic, 14% hemorrhagic, 5% undetermined, 44% with disability) from 39 hospitals, 57% had a hospital admission or ED contact in the first 30-365 days post-hospital discharge, with median contacts/person/year post-stroke of 1.09 (Q1, Q3: 0, 3.27) compared to a pre-contact rate of 0 (Q1, Q3: 0, 2.18). The strongest associations with subsequent hospital contacts were prior contacts (IRR:1.10, 95%CI:1.07, 1.13), not able to walk on admission (stroke severity) (IRR:1.19, 95%CI 1.07, 1.31) and having a higher comorbidity index score (IRR:1.18, 95%CI:1.14, 1.22). Within stratified cohorts younger age was associated with increased contacts in those with disability ( Conclusion/Implications In a large linked cohort of patients we have demonstrated the substantial ongoing burden that stroke imposes on hospital systems, particularly regarding survivors with other comorbidities and younger survivors with disability. Knowledge of disability and comorbidity burden may assist with targeting community and hospital interventions to reduce post-stroke hospital usage

High quality linked data for stroke obtained using non-government clinical registry and routinely collected hospital and death data

Introduction Recent advances in data linkage infrastructure in Australia mean that data can be linked based on various identifiers across datasets. In a first for Australia, we tested the feasibility of linking data between a clinical quality disease registry with Australian and state government health data across multiple jurisdictions. Objectives and Approach To determine whether high quality linked data for stroke can be obtained using a non-government managed registry (Australian Stroke Clinical Registry, AuSCR), national death registry data (Australian government), and hospital admission and emergency presentation data (state governments) to assess the accuracy of consistent variables across the different datasets. We used a cohort design with probabilistic data linkage to merge patient-level records. Descriptive statistics presented for matching concordance and Cohen’s kappa for concordance across demographic variables. The sensitivity and specificity of in-hospital deaths collected in the AuSCR was assessed against national death registrations. Results There were 16,214 registrants in the study cohort. Their identifiers in the AuSCR from 2009-2013 were linked with death, emergency department and hospital discharge data from April 2004 to December 2016. In total, 99% of the AuSCR registrants were linked to one or more datasets; 98\% were linked with emergency presentation (80%) and/or admission (95%) data. Linkage to national death registrations identified 4,183 death; 1440 of these were identified as in-hospital deaths in both data sets demonstrating that in-hospital death classification in AuSCR had a 98.7% sensitivity and 99.6% specificity. Concordance between common demographic variables was excellent (kappa 0.84 for aboriginal status and kappa 0.99 for sex). Conclusion/Implications The majority of AuSCR registrants were accurately linked to the Australian and state government datasets. Linkage quality was excellent and there was high concordance between common variables. The ability to reliably merge the datasets assures future comprehensive analyses of stroke care, ongoing health care resource utilisation and patient outcomes

Stroke incidence in Indigenous, minority populations: a review of methods for studying stroke in Aboriginal and Torres Strait Islander Australians

Declining worldwide or national stroke incidence rates are not always mirrored in disadvantaged, minority populations. Logistical barriers exist for effective measurement of incidence in minority populations; such data are required to identify targets for culturally appropriate interventions. In this comparative review, we aimed to examine whether “gold-standard” methodologies of stroke incidence studies are most effective for minority populations. We compared three studies of stroke incidence in Aboriginal Australians, each using different methodologies of case ascertainment. In Study 1, “gold-standard” population-based methods were used, while in Study 2, a retrospective hospital-based cohort design was utilized, and in Study 3, whole-of-population linked hospital and mortality data was employed. Study 1 captured both in-hospital and out-of-hospital stroke events but had a small sample size for Aboriginal patients. Study 2 provided a larger sample size while still allowing for clinical and radiological subtyping of stroke but was subject to selection bias and was limited to hospitalized cases. Study 3 had a large sample size and allowed for subgroup analysis, though lacked clinical adjudication and had large proportions of ‘undetermined stroke'. Despite diagnostic imprecision, we recommend a paradigm shift in measuring stroke incidence in Indigenous, minority populations, favoring the use of whole-of-population data linkage including non-hospitalized stroke deaths, over resource-intensive prospective methods, where more suitable for the target population

Voting with their feet - predictors of discharge against medical advice in Aboriginal and non-Aboriginal ischaemic heart disease inpatients in Western Australia: an analytic study using data linkage

Background: Discharge Against Medical Advice (DAMA) from hospital is associated with adverse outcomes and is considered an indicator of the responsiveness of hospitals to the needs of Aboriginal and Torres Strait Islander Australians, the indigenous people of Australia. We investigated demographic and clinical factors that predict DAMA in patients experiencing their first-ever inpatient admission for ischaemic heart disease (IHD). The study focuse sparticularly on the differences in the risk of DAMA in Aboriginal and non-Aboriginal patients while also investigating other factors in their own right. Methods: A cross-sectional analytical study was undertaken using linked hospital and mortality data with complete coverage of Western Australia. Participants included all first-ever IHD inpatients (aged 25–79 years) admitted between 2005 and 2009, selected after a 15-year clearance period and who were discharged alive. The main outcome measure was DAMA as reflected in the hospital record. Multiple logistic regression was used to determine disparities in DAMA between Aboriginal and non-Aboriginal patients, adjusting for a range of demographic and clinical factors, including comorbidity based on 5-year hospitalization history. A series of additional models were run on subgroups of the cohort to refine the analysis. Ethics approval was granted by the WA Human Research and the WA Aboriginal Health Ethics Committees.Results: Aboriginal patients comprised 4.3% of the cohort of 37,304 IHD patients and 23% of the 224 DAMAs. Emergency admission (OR=5.9, 95% CI 2.9-12.2), alcohol admission history (alcohol-related OR=2.9, 95% CI 2.0-4.2) and Aboriginality (OR 2.3, 95% CI 1.5-3.5) were the strongest predictors of DAMA in the multivariate model. Patients living in rural areas while attending non-metropolitan hospitals had a 50% higher risk of DAMA than those living and hospitalised in metropolitan areas. There was consistency in the ORs for Aboriginality in the different multivariate models using restricted sub-cohorts and different Aboriginal identifiers. Sex, IHD diagnosis type and co-morbidity scores imparted different risks in Aboriginal versus non-Aboriginal patients. Conclusions: Understanding the risks and reasons for DAMA is important for health system policy and proactive management of those at risk of DAMA. Improving care to prevent DAMA should target unplanned admissions, rural hospitals and young men, Aboriginal people and those with alcohol and mental health comorbidities

A cohort study: temporal trends in prevalence of antecedents, comorbidities and mortality in Aboriginal and non-Aboriginal Australians with first heart failure hospitalization, 2000-2009

Abstract Background/objectives: Little is known about trends in risk factors and mortality for Aboriginal Australians with heart failure (HF). This population-based study evaluated trends in prevalence of risk factors, 30-day and 1-year all-cause mortality following first HF hospitalization among Aboriginal and non-Aboriginal Western Australians in the decade 2000-2009. Methods: Linked-health data were used to identify patients (20-84 years), with a first-ever HF hospitalization. Trends in demographics, comorbidities, interventions and risk factors were evaluated. Logistic and Cox regression models were fitted to test and compare trends over time in 30-day and 1-year mortality. Results: Of 17,379 HF patients, 1,013 (5.8 %) were Aboriginal. Compared with 2000-2002, the prevalence (as history) of myocardial infarction and hypertension increased more markedly in 2006-2009 in Aboriginal (versus non-Aboriginal) patients, while diabetes and chronic kidney disease remained disproportionately higher in Aboriginal patients. Risk factor trends, including the Charlson comorbidity index, increased over time in younger Aboriginal patients. Risk-adjusted 30-day mortality did not change over the decade in either group. Risk-adjusted 1-year mortality (in 30-day survivors) was non-significantly higher in Aboriginal patients in 2006-2008 compared with 2000-2002 (hazard ratio (HR) 1.44; 95 % CI 0.85-2.41; p-trend = 0.47) whereas it decreased in non-Aboriginal patients (HR 0.87; 95 % CI 0.78-0.97; p-trend = 0.01). Conclusions: Between 2000 and 2009, the prevalence of HF antecedents increased and remained disproportionately higher in Aboriginal (versus non-Aboriginal) HF patients. Risk-adjusted 1-year mortality did not improve in Aboriginal patients over the period in contrast with non-Aboriginal patients. These findings highlight the need for better prevention and post-HF care in Aboriginal Australians