Veronica Matthews

A systems-based partnership learning model for strengthening primary healthcare

BackgroundStrengthening primary healthcare systems is vital to improving health outcomes and reducing inequity. However, there are few tools and models available in published literature showing how primary care system strengthening can be achieved on a large scale. Challenges to strengthening primary healthcare (PHC) systems include the dispersion, diversity and relative independence of primary care providers; the scope and complexity of PHC; limited infrastructure available to support population health approaches; and the generally poor and fragmented state of PHC information systems.Drawing on concepts of comprehensive PHC, integrated quality improvement (IQI) methods, system-based research networks, and system-based participatory action research, we describe a learning model for strengthening PHC that addresses these challenges. We describe the evolution of this model within the Australian Aboriginal and Torres Strait Islander primary healthcare context, successes and challenges in its application, and key issues for further research.DiscussionIQI approaches combined with system-based participatory action research and system-based research networks offer potential to support program implementation and ongoing learning across a wide scope of primary healthcare practice and on a large scale. The Partnership Learning Model (PLM) can be seen as an integrated model for large-scale knowledge translation across the scope of priority aspects of PHC. With appropriate engagement of relevant stakeholders, the model may be applicable to a wide range of settings. In IQI, and in the PLM specifically, there is a clear role for research in contributing to refining and evaluating existing tools and processes, and in developing and trialling innovations. Achieving an appropriate balance between funding IQI activity as part of routine service delivery and funding IQI related research will be vital to developing and sustaining this type of PLM.SummaryThis paper draws together several different previously described concepts and extends the understanding of how PHC systems can be strengthened through systematic and partnership-based approaches. We describe a model developed from these concepts and its application in the Australian Indigenous primary healthcare context, and raise questions about sustainability and wider relevance of the model.

Duration of participation in continuous quality improvement: a key factor explaining improved delivery of Type 2 diabetes services

BackgroundIt 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.MethodsWe 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.ResultsHealth 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%.ConclusionsAt 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.

Leveraging quality improvement through use of the Systems Assessment Tool in Indigenous primary health care services: a mixed methods study

BackgroundAssessment of the quality of primary health care health delivery systems is a vital part of continuous quality improvement (CQI) processes. The Systems Assessment Tool (SAT) was designed to support Indigenous PHC services in assessing and improving their health care systems. It was based on the Assessment of Chronic Illness Care scale, and on practical experience with applying systems assessments in quality improvement in Indigenous primary health care. We describe the development and application of the SAT, report on a survey to assess the utility of the SAT and review the use of the SAT in other CQI research programs.MethodsThe mixed methods approach involved a review of documents and internal reports relating to experience with use of the SAT since its development in 2002 and a survey of key informants on their experience with using the SAT.ResultsThe paper drew from documents and internal reports to describe the SAT development and application in primary health care services from 2002 to 2014. Survey feedback highlighted the benefit to the whole primary health care team from participating in the SAT, bringing to light issues that might not emerge with separate individual tool completion. A majority of respondents reported changes in their health centres as a result of using the SAT. Good organisational and management support assisted with ensuring allocation of time and resources for SAT conduct. Respondents identified the importance of having a skilled, external facilitator.ConclusionsOriginally designed as a measurement tool, the SAT rapidly evolved to become an important development tool, assisting teams in learning about primary health care system functioning, applying best practice and contributing to team strengthening. It is valued by primary health care centres as a lever in implementing improvements to strengthen centre delivery systems, and has potential for further adaptation and wider application in Australia and internationally.

Interactive Dissemination: Engaging Stakeholders in the Use of Aggregated Quality Improvement Data for System-Wide Change in Australian Indigenous Primary Health Care

Background Integrating theory when developing complex quality improvement interventions can help to explain clinical and organizational behavior, inform strategy selection, and understand effects. This paper describes a theory-informed interactive dissemination strategy. Using aggregated quality improvement data, the strategy seeks to engage stakeholders in wide-scale data interpretation and knowledge sharing focused on achieving wide-scale improvement in primary health-care quality. Methods An iterative process involving diverse stakeholders in Australian Aboriginal and Torres Strait Islander health-care delivery uses aggregated audit data collected across key areas of care. Phases of reporting and online feedback are used to identify: (1) priority areas for improvement; (2) health center, system, and staff attributes that may be important in addressing the identified priority evidence-practice gaps; and (3) strategies that could be introduced or strengthened to enable improvement. A developmental evaluation is being used to refine engagement processes and reports as the project progresses. Discussion This innovative dissemination approach is being used to encourage wide-scale interpretation and use of service performance data by policy-makers, managers, and other stakeholders, and to document knowledge about how to address barriers to achieving change. Through the developmental evaluation, the project provides opportunities to learn about stakeholders’ needs in relation to the way data and findings are described and distributed, and elements of the dissemination strategy and report design that impact on the useability and uptake of findings. Conclusion The project can contribute to knowledge about how to facilitate interactive wide-scale dissemination and about using data to co-produce knowledge to improve health-care quality.

System-Level Action Required for Wide-Scale Improvement in Quality of Primary Health Care: Synthesis of Feedback from an Interactive Process to Promote Dissemination and Use of Aggregated Quality of Care Data

Introduction There is an enduring gap between recommended practice and care that is actually delivered; and there is wide variation between primary health care (PHC) centers in delivery of care. Where aspects of care are not being done well across a range of PHC centers, this is likely due to inadequacies in the broader system. This paper aims to describe stakeholders’ perceptions of the barriers and enablers to addressing gaps in Australian Aboriginal and Torres Strait Islander chronic illness care and child health, and to identify key drivers for improvement. Methods This paper draws on data collected as part of a large-scale continuous quality improvement project in Australian Indigenous PHC settings. We undertook a qualitative assessment of stakeholder feedback on the main barriers and enablers to addressing gaps in care for Aboriginal and Torres Strait Islander children and in chronic illness care. Themes on barriers and enablers were further analyzed to develop a “driver diagram,” an improvement tool used to locate barriers and enablers within causal pathways (as primary and secondary drivers), enabling them to be targeted by tailored interventions. Results We identified 5 primary drivers and 11 secondary drivers of high-quality care, and associated strategies that have potential for wide-scale implementation to address barriers and enablers for improving care. Perceived barriers to addressing gaps in care included both health system and staff attributes. Primary drivers were: staff capability to deliver high-quality care; availability and use of clinical information systems and decision support tools; embedding of quality improvement processes and data-driven decision-making; appropriate and effective recruitment and retention of staff; and community capacity, engagement and mobilization for health. Suggested strategies included mechanisms for increasing clinical supervision and support, staff retention, reorientation of service delivery, use of information systems and community health literacy. Conclusion The findings identify areas of focus for development of barrier-driven, tailored interventions to improve health outcomes. They reinforce the importance of system-level action to improve health center performance and health outcomes, and of developing strategies to address system-wide challenges that can be adapted to local contexts.

Determinants and gaps in preventive care delivery for Indigenous Australians: a cross-sectional analysis

Background Potentially preventable chronic diseases are the greatest contributor to the health gap between Aboriginal and Torres Strait Islander peoples and non-Indigenous Australians. Preventive care is important for earlier detection and control of chronic disease, and a number of recent policy initiatives have aimed to enhance delivery of preventive care. We examined documented delivery of recommended preventive services for Indigenous peoples across Australia and investigated the influence of health center and client level factors on adherence to best practice guidelines. Methods Clinical audit data from 2012 to 2014 for 3,623 well adult clients (aged 15–54) of 101 health centers from four Australian states and territories were analyzed to determine adherence to delivery of 26 recommended preventive services classified into five different modes of care on the basis of the way in which they are delivered (e.g., basic measurement; laboratory tests and imaging; assessment and brief interventions, eye, ear, and oral checks; follow-up of abnormal findings). Summary statistics were used to describe the delivery of each service item across jurisdictions. Multilevel regression models were used to quantify the variation in service delivery attributable to health center and client level factors and to identify factors associated with higher quality care. Results Delivery of recommended preventive care varied widely between service items, with good delivery of most basic measurements but poor follow-up of abnormal findings. Health center characteristics were associated with most variation. Higher quality care was associated with Northern Territory location, urban services, and smaller service population size. Client factors associated with higher quality care included age between 25 and 34 years, female sex, and more regular attendance. Conclusion Wide variation in documented preventive care delivery, poor follow-up of abnormal findings, and system factors that influence quality of care should be addressed through continuous quality improvement approaches that engage stakeholders at multiple levels (including, for example, access to care in the community, appropriate decision support for practitioners, and financial incentives and context appropriate guidelines).

Antenatal emotional wellbeing screening in Aboriginal and Torres Strait Islander primary health care services in Australia

Abstract Objectives: The aim of this study was to examine the extent to which antenatal emotional wellbeing (EW) assessments are undertaken in primary health care (PHC) centres and factors associated with completion of EW screening. Methods: Medical records of 797 pregnant women from 36 PHC centres in five states (NSW, QLD, SA, WA and NT) were audited. Results: Overall, 85% of the women were Aboriginal. The proportion of women with documented screening for EW varied from 5 to 38% between states (mean 17%). Aboriginal women were four times more likely (adjusted Odds Ratio (OR = 4.13, 95% CI = 2.46–6.92) to not be screened for antenatal EW than non-Aboriginal women. Aboriginality, <4 antenatal visits, absence of an antenatal and birth care plan, and lack of counselling on financial support were independently linked with no screening of EW. Conclusion: Provision of training for health service providers and further research on appropriate screening tools for Aboriginal women are needed to help redress this gap.

Monitoring and assessing the quality of care for youth: developing an audit tool using an expert consensus approach

BackgroundThe mental health needs of young people are often inadequately met by health services. Quality improvement approaches provide a framework for measuring, assessing and improving the quality of healthcare. However, a lack of performance standards and measurement tools are an impediment to their implementation. This paper reports on the initial stages of development of a clinical audit tool for assessing the quality of primary healthcare for Australian Indigenous youth aged 12–24 including mental health services provided within primary care.MethodsAudit items were determined through review of relevant guidelines, expert reference group consensus opinion and specific inclusion criteria. Pilot testing was undertaken at four Indigenous primary healthcare services. A focus group discussion involving five staff from a health service participating in pilot testing explored user experiences of the tool.ResultsAudit items comprise key measures of processes and outcomes of care for Indigenous youth, as determined by the expert reference group. Gaps and conflicts in relevant guidelines and a lack of agreed performance indicators necessitated a tool development process that relied heavily on expert reference group advice and audit item inclusion criteria. Pilot testing and user feedback highlighted the importance of feasibility and context-specific considerations in tool development and design.ConclusionsThe youth health audit tool provides a first step in monitoring, assessing and improving the way Indigenous primary healthcare services engage with and respond to the needs of youth. Our approach offers a way forward for further development of quality measures in the absence of clearly articulated standards of care.

Impact of policy support on uptake of evidence-based continuous quality improvement activities and the quality of care for Indigenous Australians: a comparative case study.

Objectives To examine the impact of state/territory policy support on (1) uptake of evidence-based continuous quality improvement (CQI) activities and (2) quality of care for Indigenous Australians. Design Mixed-method comparative case study methodology, drawing on quality-of-care audit data, documentary evidence of policies and strategies and the experience and insights of stakeholders involved in relevant CQI programmes. We use multilevel linear regression to analyse jurisdictional differences in quality of care. Setting Indigenous primary healthcare services across five states/territories of Australia. Participants 175 Indigenous primary healthcare services. Interventions A range of national and state/territory policy and infrastructure initiatives to support CQI, including support for applied research. Primary and secondary outcome measures (i) Trends in the consistent uptake of evidence-based CQI tools available through a research-based CQI initiative (the Audit and Best Practice in Chronic Disease programme) and (ii) quality of care (as reflected in adherence to best practice guidelines). Results Progressive uptake of evidence-based CQI activities and steady improvements or maintenance of high-quality care occurred where there was long-term policy and infrastructure support for CQI. Where support was provided but not sustained there was a rapid rise and subsequent fall in relevant CQI activities. Conclusions Health authorities should ensure consistent and sustained policy and infrastructure support for CQI to enable wide-scale and ongoing improvement in quality of care and, subsequently, health outcomes. It is not sufficient for improvement initiatives to rely on local service managers and clinicians, as their efforts are strongly mediated by higher system-level influences.

Responses of Aboriginal and Torres Strait Islander Primary Health-Care Services to Continuous Quality Improvement Initiatives.

Background Indigenous primary health-care (PHC) services participating in continuous quality improvement (CQI) cycles show varying patterns of performance over time. Understanding this variation is essential to scaling up and sustaining quality improvement initiatives. The aim of this study is to examine trends in quality of care for services participating in the ABCD National Research Partnership and describe patterns of change over time and examine health service characteristics associated with positive and negative trends in quality of care. Setting and participants PHC services providing care for Indigenous people in urban, rural, and remote northern Australia that had completed at least three annual audits of service delivery for at least one aspect of care (n = 73). Methods/design Longitudinal clinical audit data from use of four clinical audit tools (maternal health, child health, preventive health, Type 2 diabetes) between 2005 and 2013 were analyzed. Health center performance was classified into six patterns of change over time: consistent high improvement (positive), sustained high performance (positive), decline (negative), marked variability (negative), consistent low performance (negative), and no specific increase or decrease (neutral). Backwards stepwise multiple logistic regression analyses were used to examine the associations between health service characteristics and positive or negative trends in quality of care. Results Trends in quality of care varied widely between health services across the four audit tools. Regression analyses of health service characteristics revealed no consistent statistically significant associations of population size, remoteness, governance model, or accreditation status with positive or negative trends in quality of care. Conclusion The variable trends in quality of care as reflected by CQI audit tools do not appear to be related to easily measurable health service characteristics. This points to the need for a deeper or more nuanced understanding of factors that moderate the effect of CQI on health service performance for the purpose of strengthening enablers and overcoming barriers to improvement.