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Objective Aboriginal Community-Controlled Health Services (ACCHSs) deliver comprehensive, culturally appropriate primary health care to Aboriginal people and communities. The published literature acknowledging and supporting the roles of ACCHSs in improving Aboriginal health is limited. This paper seeks to collate and analyse the published evidence supporting the contribution of ACCHSs to improving the health of Aboriginal people. Methods A conceptual framework for exploring the contribution of ACCHSs was developed, drawing on the literature on the core functions of ACCHSs and the components of quality primary health care. This framework was used to structure the search strategy, inclusion criteria and analysis of the review. Results ACCHSs contribute to improving the health and well being of Aboriginal peoples through several pathways, including community controlled governance, providing employment and training, strengthening the broader health system and providing accessible, comprehensive primary health care. Conclusions ACCHSs make a range of important contributions to improving the health of Aboriginal peoples that are under-acknowledged. Consideration of the different ways ACCHSs contribute to improving Aboriginal health is of value in the design and evaluation of programs and policies that aim to improve the health of Aboriginal peoples. What is known about the topic? Aboriginal communities have long argued the vital role of ACCHSs in improving Aboriginal health. What does this paper add? This paper provides a comprehensive collation and analysis of the evidence supporting the contributions ACCHSs are making to improving Aboriginal health. What are the implications for practitioners? The conceptual framework and findings outlined in this paper illustrate that ACCHSs are making important contributions to improving Aboriginal health through several pathways. This information can be used to ensure actions to improve Aboriginal health are appropriate and effective. There are important gaps in the literature that researchers need to address.

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Objective The aim of the present study was to assess the accuracy of extracting national key performance indicator (nKPI) data for the Online Community Health Reporting Environment for Health Services (OCHREStreams) program using the Pen Computer Systems (Leichhardt, NSW, Australia) Clinical Audit Tool (CAT) from Communicare (Telstra Health Communicare Systems, Perth, WA, Australia), a commonly used patient information management system (PIMS) in Aboriginal primary care. Methods Two Aboriginal Community-Controlled Health Services (ACCHSs) were recruited to the present study. A sample of regular clients aged ≥55 years from each ACCHS was selected and a subset of 13 nKPIs was examined. A manual case note audit of the nKPI subset within Communicare was undertaken by a clinician at each participating ACCHS and acted as a 'gold standard' comparator for three query methods: (1) internal Communicare nKPI reports; (2) PenCS CAT nKPI manual filtering (a third-party data-extraction tool); and (3) nKPI data submitted to the Improvement Foundation qiConnect portal. Results No errors were found in nKPI data extraction from Communicare using the CAT and subsequent submission to the qiConnect portal. However, the Communicare internal nKPI report included deceased clients and past patients, and we can be very confident that deceased clients and past patients are also included in the qiConnect portal data. This resulted in inflation of client denominators and an underestimation of health service performance, particularly for nKPIs recording activity in the past 6 months. Several minor errors were also detected in Communicare internal nKPI reports. Conclusions CAT accurately extracts a subset of nKPI data from Communicare. However, given the widespread use of Communicare in ACCHSs, the inclusion of deceased clients and past patients in the OCHREStreams nKPI data program is likely to have resulted in systematic under-reporting of health service performance nationally. What is known about the topic? There has been limited validation of health data exported via data-extraction tools in Australia. More specifically, there are no current published data describing the accuracy of the CAT in mapping health data extracted from Communicare or the accuracy of internal nKPI reports generated by Communicare. Further, no systematic review has been undertaken to assess the accuracy of the nKPI data submission pathway from PIMSs at the health service level to the OCHREStreams qiConnect portal using the CAT. What does this paper add? The CAT accurately extracts a subset of nKPI data from Communicare and accurately submits this to the qiConnect portal. Minor errors exist in some Communicare internal nKPI reports. The inclusion of deceased clients and past patients in the nKPI reporting system for ACCHSs is likely to have resulted in systematic under-reporting of health service performance nationally through this program. What are the implications for practitioners? The inclusion of deceased clients and past patients in the OCHREStreams nKPI program limits the usefulness of these data for local quality improvement activities and national monitoring of health service performance for participating ACCHSs. The use of the CAT by ACCHSs independently from the OCHREStreams program can enable deceased clients and past patients to be excluded from reports that can provide more accurate nKPI data from Communicare for local quality improvement and planning purposes.

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BACKGROUND: Aboriginal and Torres Strait Islander Australians experience a greater burden of disease compared to non-Indigenous Australians. Around one-fifth of the health disparity is caused by cardiovascular disease (CVD). Despite the importance of absolute cardiovascular risk assessment (CVRA) as a screening and early intervention tool, few studies have reported its use within the Australian Indigenous primary health care (PHC) sector. This study utilizes data from a large-scale quality improvement program to examine variation in documented CVRA as a primary prevention strategy for individuals without prior CVD across four Australian jurisdictions. We also examine the proportion with elevated risk and follow-up actions recorded. METHODS: We undertook cross-sectional analysis of 2,052 client records from 97 PHC centers to assess CVRA in Indigenous adults aged ≥20 years with no recorded chronic disease diagnosis (2012-2014). Multilevel regression was used to quantify the variation in CVRA attributable to health center and client level factors. The main outcome measure was the proportion of eligible adults who had CVRA recorded. Secondary outcomes were the proportion of clients with elevated risk that had follow-up actions recorded. RESULTS: Approximately 23% (n = 478) of eligible clients had documented CVRA. Almost all assessments (99%) were conducted in the Northern Territory. Within this jurisdiction, there was wide variation between centers in the proportion of clients with documented CVRA (median 38%; range 0-86%). Regression analysis showed health center factors accounted for 48% of the variation. Centers with integrated clinical decision support systems were more likely to document CVRA (OR 21.1; 95% CI 5.4-82.4; p < 0.001). Eleven percent (n = 53) of clients were found with moderate/high CVD risk, of whom almost one-third were under 35 years (n = 16). Documentation of follow-up varied with respect to the targeted risk factor. Fewer than 30% with abnormal blood lipid or glucose levels had follow-up management plans recorded. CONCLUSION: There was wide variation in CVRA between jurisdictions and between PHC centers. Learnings from successful interventions to educate and support centers in CVRA provision should be shared with stakeholders more widely. Where risk has been identified, further improvement in follow-up management is required to prevent CVD onset and reduce future burden in Australia's Indigenous population.

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BACKGROUND: Chlamydia, gonorrhoea and syphilis are readily treatable sexually transmitted infections (STIs) which continue to occur at high rates in Australia, particularly among Aboriginal Australians. This study aimed to: explore the extent of variation in delivery of recommended STI screening investigations and counselling within Aboriginal primary health care (PHC) centres; identify the factors associated with variation in screening practices; and determine if provision of STI testing and counselling increased with participation in continuous quality improvement (CQI). METHODS: Preventive health audits (n = 16,086) were conducted at 137 Aboriginal PHC centres participating in the Audit and Best Practice for Chronic Disease Program, 2005-2014. STI testing and counselling data were analysed to determine levels of variation in chlamydia, syphilis and gonorrhoea testing and sexual health discussions. Multilevel logistic regression was used to determine factors associated with higher levels of STI-related service delivery and to quantify variation attributable to health centre and client characteristics. RESULTS: Significant variation in STI testing and counselling exists among Aboriginal PHC centres with health centre factors accounting for 43% of variation between health centres and jurisdictions. Health centre factors independently associated with higher levels of STI testing and counselling included provision of an adult health check (odds ratio (OR) 3.40; 95% Confidence Interval (CI) 3.07-3.77) and having conducted 1-2 cycles of CQI (OR 1.34; 95% CI 1.16-1.55). Client factors associated with higher levels of STI testing and counselling were being female (OR 1.45; 95% CI 1.33-1.57), Aboriginal (OR 1.46; 95% CI 1.15-1.84) and aged 20-24 years (OR 3.84; 95% CI 3.07-4.80). For females, having a Pap smear test was also associated with STI testing and counselling (OR 4.39; 95% CI 3.84-5.03). There was no clear association between CQI experience beyond two CQI cycles and higher levels of documented delivery of STI testing and counselling services. CONCLUSIONS: A number of Aboriginal PHC centres are achieving high rates of STI testing and counselling, while a significant number are not. STI-related service delivery could be substantially improved through focussed efforts to support health centres with relatively lower documented evidence of adherence to best practice guidelines.

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BACKGROUND: It is generally recognised that continuous quality improvement (CQI) programs support development of high quality primary health care systems. However, there is limited evidence demonstrating their system-wide effectiveness. We examined variation in quality of Type 2 diabetes service delivery in over 100 Aboriginal and Torres Strait Islander primary health care centres participating in a wide-scale CQI project over the past decade, and determined the influence of health centre and patient level factors on quality of care, with specific attention to health centre duration of participation in a CQI program. METHODS: We analysed over 10,000 clinical audit records to assess quality of Type 2 diabetes care of patients in 132 Aboriginal and Torres Strait Islander community health centres in five states/territories participating in the ABCD project for varying periods between 2005 and 2012. Process indicators of quality of care for each patient were calculated by determining the proportion of recommended guideline scheduled services that were documented as delivered. Multilevel regression models were used to quantify the amount of variation in Type 2 diabetes service delivery attributable to health centre or patient level factors and to identify those factors associated with greater adherence to best practice guidelines. RESULTS: Health centre factors that were independently associated with adherence to best practice guidelines included longer participation in the CQI program, remoteness of health centres, and regularity of client attendance. Significantly associated patient level variables included greater age, and number of co-morbidities and disease complications. Health centre factors explained 37% of the differences in level of service delivery between jurisdictions with patient factors explaining only a further 1%. CONCLUSIONS: At the health centre level, Type 2 diabetes service delivery could be improved through long term commitment to CQI, encouraging regular attendance (for example, through patient reminder systems) and improved recording and coordination of patient care in the complex service provider environments that are characteristic of non-remote areas.

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BACKGROUND: Strengthening primary health care is critical to reducing health inequity between Indigenous and non-Indigenous Australians. The Audit and Best practice for Chronic Disease Extension (ABCDE) project has facilitated the implementation of modern Continuous Quality Improvement (CQI) approaches in Indigenous community health care centres across Australia. The project demonstrated improvements in health centre systems, delivery of primary care services and in patient intermediate outcomes. It has also highlighted substantial variation in quality of care. Through a partnership between academic researchers, service providers and policy makers, we are now implementing a study which aims to 1) explore the factors associated with variation in clinical performance; 2) examine specific strategies that have been effective in improving primary care clinical performance; and 3) work with health service staff, management and policy makers to enhance the effective implementation of successful strategies. METHODS/DESIGN: The study will be conducted in Indigenous community health centres from at least six States/Territories (Northern Territory, Western Australia, New South Wales, South Australia, Queensland and Victoria) over a five year period. A research hub will be established in each region to support collection and reporting of quantitative and qualitative clinical and health centre system performance data, to investigate factors affecting variation in quality of care and to facilitate effective translation of research evidence into policy and practice. The project is supported by a web-based information system, providing automated analysis and reporting of clinical care performance to health centre staff and management. DISCUSSION: By linking researchers directly to users of research (service providers, managers and policy makers), the partnership is well placed to generate new knowledge on effective strategies for improving the quality of primary health care and fostering effective and efficient exchange and use of data and information among service providers and policy makers to achieve evidence-based resource allocation, service planning, system development, and improvements of service delivery and Indigenous health outcomes.

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Some commentators suggest that the poor health of Australia's Indigenous population is due to misguided ideology-driven policy that has forced people to live in remote communities, preventing them from benefiting from the mainstream economy. The evidence shows that the poor health status of Indigenous people is found in all areas where they live and that, on some indicators, living in remote areas has health benefits. Government policies aimed at relocating Indigenous people from their traditional lands are not supported by evidence, and may further entrench Indigenous disadvantage.

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