Network evaluation of an innovation platform in continuous quality improvement in Australian Indigenous primary healthcare.

BACKGROUND: From 2014 to 2019, the Centre for Research Excellence in Integrated Quality Improvement (CRE-IQI) was evaluated as an innovation platform focusing on continuous quality improvement in Indigenous Australian primary healthcare. Although social network analysis (SNA) is a recognized method for evaluating the functioning, collaboration and effectiveness of innovation platforms, applied research is limited. This study applies SNA to evaluate the CRE-IQI's functioning as an innovation platform. METHODS: Two surveys (2017, 2019) were conducted using social survey and network methods. Survey items covered respondent characteristics, their perceptions of the CRE-IQI's performance, and its impact and sociometric relationships. Members' relationship information was captured for the CRE-IQI at three time points, namely start (retrospectively), midpoint and final year, on three network types (knew, shared information, collaborated). SNA software was used to compute standard network metrics including diameter, density and centrality, and to develop visualizations. Survey and network results were addressed in a workshop held by members to develop improvement strategies. RESULTS: The response rate was 80% in 2017 and 65% in 2019 (n = 49 and 47, respectively). Between 2017 and 2019, respondents' mean ratings of the CRE-IQI's functioning and achievements in meeting its goals were sustained. They perceived the CRE-IQI as multidisciplinary, having effective management and governance, and incorporating Indigenous research leadership, representation and ways of working. Respondents recognized high levels of trust amongst members, rated "good communication and coordination with participants" highly, and "facilitating collaboration" as the CRE's most strongly recognized achievement. In collaboration and information-sharing networks, average path length remained low in 2017 and 2019, indicating good small-world network properties for relaying information. On average, respondents shared information and collaborated with more CRE members in 2017 than 2019. However, in both 2017 and 2019 there were new collaborations and information-sharing outside of direct collaborations. CRE-IQI outcomes included: evidence generation; knowledge transfer and skills development in quality improvement; research capacity-building, career development; mentoring; grant support; development of new projects; health service support; and policy impact. CONCLUSIONS: This study shows the utility of network analysis in evaluating the functioning, and collaboration, at the individual, organizational and health system levels, of an innovation platform, and adds to our understanding of factors enabling successful innovation platforms.

Collaboration and knowledge generation in an 18-year quality improvement research programme in Australian Indigenous primary healthcare: a coauthorship network analysis.

OBJECTIVES: Though multidisciplinary research networks support the practice and effectiveness of continuous quality improvement (CQI) programmes, their characteristics and development are poorly understood. In this study, we examine publication outputs from a research network in Australian Indigenous primary healthcare (PHC) to assess to what extent the research network changed over time. SETTING: Australian CQI research network in Indigenous PHC from 2002 to 2019. PARTICIPANTS: Authors from peer-reviewed journal articles and books published by the network. DESIGN: Coauthor networks across four phases of the network (2002-2004; 2005-2009; 2010-2014; 2015-2019) were constructed based on author affiliations and examined using social network analysis methods. Descriptive characteristics included organisation types, Indigenous representation, gender, student authorship and thematic research trends. RESULTS: We identified 128 publications written by 308 individual authors from 79 different organisations. Publications increased in number and diversity over each funding phase. During the final phase, publication outputs accelerated for organisations, students, project officers, Indigenous and female authors. Over time there was also a shift in research themes to encompass new clinical areas and social, environmental or behavioural determinants of health. Average degree (8.1), clustering (0.81) and diameter (3) indicated a well-connected network, with a core-periphery structure in each phase (p≤0.03) rather than a single central organisation (degree centralisation=0.55-0.65). Academic organisations dominated the core structure in all funding phases. CONCLUSION: Collaboration in publications increased with network consolidation and expansion. Increased productivity was associated with increased authorship diversity and a decentralised network, suggesting these may be important factors in enhancing research impact and advancing the knowledge and practice of CQI in PHC. Publication diversity and growth occurred mainly in the fourth phase, suggesting long-term relationship building among diverse partners is required to facilitate participatory research in CQI. Despite improvements, further work is needed to address inequities in female authorship and Indigenous authorship.

Road deaths relating to the attendance of medical appointments in Queensland.

Objective This study sought to estimate and observe the risks imposed on patients as they travel to hospital for referred treatment. Factors such as distance and remoteness were compared to understand how they affect this risk. Methods This study focused on Queensland residents attending specialist out-patient appointments in a Queensland public hospital throughout 2016. Deidentified information on all recipients of a specialist out-patient appointment in 2016 (n=2946584) were included in the study. This study also contained a theoretical component: using a data model to estimate the number of fatalities that could be expected from a travelling population of this size and complexity. The modelling results were compared with the frequency of actual fatalities among individuals travelling to receive treatment, as determined by a review of the Queensland Police Road Database. The data model and empirical values from police reports were used to independently measure what risk, if any, individuals travelling to obtain specialist out-patient treatment are exposed to. Differences between the model and observed values were evaluated using statistical tests. Results A direct relationship between increasing remoteness and travel risk was established in both the model and observed data (CV(RMSD)=0.660773). Conclusion Fatal risk is present in any road journey regardless of distance, duration or the purpose of travel. Individuals living in regional and remote Queensland are exposed to a larger risk than those living in the major cities of Queensland when travelling to obtain public health care. What is already known on this subject? Road safety remains one of Australia's most serious public health issues, with 1295 road-related fatalities recorded throughout Australia in 2016. Although the potential dangers of road travel are well understood, extended journeys by road to attend hospital appointments are often undertaken despite available alternatives to travel in some instances. What this paper adds? Travelling to attend medical appointments exposes a patient to a small but potentially catastrophic risk that can be observed in state road crash data. This risk is measurably greater for individuals in regional Queensland. What are the implications for practitioners? Clinical models of care that reduce patient travel may represent a new standard in patient safety when of the risks associated travel are considered.