Four System Enablers of Large-System Transformation in Health Care: A Mixed Methods Realist Evaluation.

Policy Points The implementation of large-scale health care interventions relies on a shared vision, commitment to change, coordination across sites, and a spanning of siloed knowledge. Enablers of the system should include building an authorizing environment; providing relevant, meaningful, transparent, and timely data; designating and distributing leadership and decision making; and fostering the emergence of a learning culture. Attention to these four enablers can set up a positive feedback loop to foster positive change that can protect against the loss of key staff, the presence of lone disruptors, and the enervating effects of uncertainty. CONTEXT: Large-scale transformative initiatives have the potential to improve the quality, efficiency, and safety of health care. However, change is expensive, complex, and difficult to implement and sustain. This paper advances system enablers, which will help to guide large-scale transformation in health care systems. METHODS: A realist study of the implementation of a value-based health care program between 2017 and 2021 was undertaken in every public hospital (n = 221) in New South Wales (NSW), Australia. Four data sources were used to elucidate initial program theories beginning with a set of literature reviews, a program document review, and informal discussions with key stakeholders. Semistructured interviews were then conducted with 56 stakeholders to confirm, refute, or refine the theories. A retroductive analysis produced a series of context-mechanism-outcome (CMO) statements. Next, the CMOs were validated with three health care quality expert panels (n = 51). Synthesized data were interrogated to distill the overarching system enablers. FINDINGS: Forty-two CMO statements from the eight initial program theory areas were developed, refined, and validated. Four system enablers were identified: (1) build an authorizing environment; (2) provide relevant, authentic, timely, and meaningful data; (3) designate and distribute leadership and decision making; and (4) support the emergence of a learning culture. The system enablers provide a nuanced understanding of large-system transformation that illustrates when, for whom, and in what circumstances large-system transformation worked well or worked poorly. CONCLUSIONS: System enablers offer nuanced guidance for the implementation of large-scale health care interventions. The four enablers may be portable to similar contexts and provide the empirical basis for an implementation model of large-system value-based health care initiatives. With concerted application, these findings can pave the way not just for a better understanding of greater or lesser success in intervening in health care settings but ultimately to contribute higher quality, higher value, and safer care.

Factors affecting 12-month unplanned readmissions for chronic obstructive pulmonary disease patients: the effect of mental disorders in an Australian cohort.

BACKGROUND: Many individuals with chronic obstructive pulmonary disease (COPD) experience frequent hospitalization and readmissions, which is burdensome on the health system. This study aims to investigate factors associated with unplanned readmissions and mortality following a COPD-related hospitalization over a 12-month period in Australia, focusing on mental disorders and accounting for the acute phase of the COVID-19 pandemic. METHODS: A retrospective cohort study using linked hospitalization and mortality records identified individuals aged ≥40 years who had at least one hospital admission with a principal diagnosis of COPD between 2014 and 2020 in New South Wales, Australia. A semi-competing risk analysis was conducted to examine factors associated with unplanned readmission and mortality. RESULTS: Adults with a mental disorder diagnosis, specifically anxiety, had a higher risk of 12-month unplanned readmission. Individuals with anxiety and dementia also had a higher risk of mortality pre- and post-unplanned readmission. Individuals who were admitted during the acute phase of the COVID-19 pandemic period had lower risk of unplanned readmission, but higher risk of mortality without unplanned readmission. CONCLUSION: Interventions aimed at reducing admissions should consider adults living with mental disorders such as anxiety or dementia to improve healthcare delivery and health outcomes for individuals living with COPD.

Implementation of large, multi-site hospital interventions: a realist evaluation of strategies for developing capability.

BACKGROUND: This study presents guidelines for implementation distilled from the findings of a realist evaluation. The setting was local health districts in New South Wales, Australia that implemented three clinical improvement initiatives as part of a state-wide program. We focussed on implementation strategies designed to develop health professionals' capability to deliver value-based care initiatives for multisite programs. Capability, which increases implementers' ability to cope with unexpected scenarios is key to managing change. METHODS: We used a mixed methods realist evaluation which tested and refined program theories elucidating the complex dynamic between context (C), mechanism (M) and outcome (O) to determine what works, for whom, under what circumstances. Data was drawn from program documents, a realist synthesis, informal discussions with implementation designers, and interviews with 10 key informants (out of 37 identified) from seven sites. Data analysis employed a retroductive approach to interrogate the causal factors identified as contributors to outcomes. RESULTS: CMO statements were refined for four initial program theories: Making it Relevant- where participation in activities was increased when targeted to the needs of the staff; Investment in Quality Improvement- where engagement in capability development was enhanced when it was valued by all levels of the organisation; Turnover and Capability Loss- where the effects of staff turnover were mitigated; and Community-Wide Priority- where there was a strategy of spanning sites. From these data five guiding principles for implementers were distilled: (1) Involve all levels of the health system to effectively implement large-scale capability development, (2) Design capability development activities in a way that supports a learning culture, (3) Plan capability development activities with staff turnover in mind, (4) Increased capability should be distributed across teams to avoid bottlenecks in workflows and the risk of losing key staff, (5) Foster cross-site collaboration to focus effort, reduce variation in practice and promote greater cohesion in patient care. CONCLUSIONS: A key implementation strategy for interventions to standardise high quality practice is development of clinical capability. We illustrate how leadership support, attention to staff turnover patterns, and making activities relevant to current issues, can lead to an emergent learning culture.

Incorporating a polygenic risk score-triaged coronary calcium score into cardiovascular disease examinations to identify subclinical coronary artery disease (ESCALATE): Protocol for a prospective, nonrandomized implementation trial.

BACKGROUND: Identifying and targeting established modifiable risk factors has been a successful strategy for reducing the burden of coronary artery disease (CAD) at the population-level. However, up to 1-in-4 patients who present with ST elevation myocardial infarction do so in the absence of such risk factors. Polygenic risk scores (PRS) have demonstrated an ability to improve risk prediction models independent of traditional risk factors and self-reported family history, but a pathway for implementation has yet to be clearly identified. The aim of this study is to examine the utility of a CAD PRS to identify individuals with subclinical CAD via a novel clinical pathway, triaging low or intermediate absolute risk individuals for noninvasive coronary imaging, and examining the impact on shared treatment decisions and participant experience. TRIAL DESIGN: The ESCALATE study is a 12-month, prospective, multicenter implementation study incorporating PRS into otherwise standard primary care CVD risk assessments, to identify patients at increased lifetime CAD risk for noninvasive coronary imaging. One-thousand eligible participants aged 45 to 65 years old will enter the study, which applies PRS to those considered low or moderate 5-year absolute CVD risk and triages those with CAD PRS ≥80% for a coronary calcium scan. The primary outcome will be the identification of subclinical CAD, defined as a coronary artery calcium score (CACS) >0 Agatston units (AU). Multiple secondary outcomes will be assessed, including baseline CACS ≥100 AU or ≥75th age-/sex-matched percentile, the use and intensity of lipid- and blood pressure-lowering therapeutics, cholesterol and blood pressure levels, and health-related quality of life (HRQOL). CONCLUSION: This novel trial will generate evidence on the ability of a PRS-triaged CACS to identify subclinical CAD, as well as subsequent differences in traditional risk factor medical management, pharmacotherapy utilization, and participant experience. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry, ACTRN12622000436774. Trial was prospectively registered on March 18, 2022. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=383134.

Improving access to primary health care: a cross-case comparison based on an a priori program theory.

BACKGROUND: Inequitable access to primary health care (PHC) remains a problem for most western countries. Failure to scale up effective interventions has been due, in part, to a failure to share the logic and essential elements of successful programs. The aim of this paper is to describe what we learned about improving access to PHC for vulnerable groups across multiple sites through use of a common theory-based program logic model and a common evaluation approach. This was the IMPACT initiative. METHODS: IMPACT's evaluation used a mixed methods design with longitudinal (pre and post) analysis of six interventions. The analysis for this paper included four of the six sites that met study criteria. These sites were located in Canada (Alberta, Quebec and Ontario) and Australia (New South Wales). Using the overarching logic model, unexpected findings were reviewed, and alternative explanations were considered to understand how the mechanisms of each intervention may have contributed to results. RESULTS: Each site addressed their local access problem with different strategies and from different starting points. All sites observed changes in patient abilities to access PHC and provider access capabilities. The combination of intended and observed consequences for consumers and providers was different at each site, but all sites achieved change in both consumer ability and provider capability, even in interventions where there was no activity targeting provider behaviors. DISCUSSION: The model helped to identify, explore and synthesize intended and unintended consequences of four interventions that appeared to have more differences than similarities. Similar outcomes for different interventions and multiple impacts of each intervention on abilities were observed, implying complex causal pathways. CONCLUSIONS: All the interventions were a low-cost incremental attempt to address unmet health care needs of vulnerable populations. Change is possible; sustaining change may be more challenging. Access to PHC requires attention to both patient abilities and provider characteristics. The logic model proved to be a valuable heuristic tool for defining the objectives of the interventions, evaluating their impacts, and learning from the comparison of 'cases'.

Does healthcare inequity reflect variations in peoples' abilities to access healthcare? Results from a multi-jurisdictional interventional study in two high-income countries.

BACKGROUND: Primary healthcare services must respond to the healthcare-seeking needs of persons with a wide range of personal and social characteristics. In this study, examined whether socially vulnerable persons exhibit lower abilities to access healthcare. First, we examined how personal and social characteristics are associated with the abilities to access healthcare described in the patient-centered accessibility framework and with the likelihood of reporting problematic access. We then examined whether higher abilities to access healthcare are protective against problematic access. Finally, we explored whether social vulnerabilities predict problematic access after accounting for abilities to access healthcare. METHODS: This is an exploratory analysis of pooled data collected in the Innovative Models Promoting Access-To-Care Transformation (IMPACT) study, a Canadian-Australian research program that aimed to improve access to primary healthcare for vulnerable populations. This specific analysis is based on 284 participants in four study regions who completed a baseline access survey. Hierarchical linear regression models were used to explore the effects of personal or social characteristics on the abilities to access care; logistic regression models, to determine the increased or decreased likelihood of problematic access. RESULTS: The likelihood of problematic access varies by personal and social characteristics. Those reporting at least two social vulnerabilities are more likely to experience all indicators of problematic access except hospitalizations. Perceived financial status and accumulated vulnerabilities were also associated with lower abilities to access care. Higher scores on abilities to access healthcare are protective against most indicators of problematic access except hospitalizations. Logistic regression models showed that ability to access is more predictive of problematic access than social vulnerability. CONCLUSIONS: We showed that those at higher risk of social vulnerability are more likely to report problematic access and also have low scores on ability to seek, reach, pay, and engage with healthcare. Equity-oriented healthcare interventions should pay particular attention to enhancing people's abilities to access care in addition to modifying organizational processes and structures that reinforce social systems of discrimination or exclusion.

What do consumers with chronic conditions expect from their interactions with general practitioners? A qualitative study of Australian consumer and provider perspectives.

BACKGROUND: More than half of Australian adults manage one or more chronic conditions through ongoing interactions with general practitioners (GPs). Their experience of general practice interactions has important implications for their health outcomes and is thus important to explore in-depth. Consumer expectations have emerged as a key consideration in this regard. How well they met in care settings can inform consumers' satisfaction and response to the care received. However, consumer expectations in Australian general practice are not well researched. OBJECTIVE: To identify key consumer expectations in clinical interactions in Australian general practice based on consumer and GP perspectives. DESIGN: Qualitative, phenomenological approach using thematic analysis of semi-structured interviews. SETTING AND PARTICIPANTS: Thirty-one participants: 18 patients with one or more chronic (persisting > 6 months) conditions, 10 GPs and 3 GP registrars in Sydney, Australia. RESULTS: Consumer expectations were strongly related to the context of their ongoing therapeutic relationship with a regular GP. Themes relating to some of the most commonly reported consumer expectations were as follows: (a) the importance of longevity and continuity; (b) having good rapport; (c) GP's respect for consumer opinions and expertise; (d) having effective communication; and (e) addressing mental health. CONCLUSION: Australian GPs and consumers prioritize a positive, long-term clinical relationship in which they respect one another and can communicate their expectations freely. This has implications for consumer satisfaction and in turn ensuring relational continuity, which is particularly relevant to the ongoing care and management of consumers with chronic conditions.

Combining patient, clinical and system perspectives in assessing performance in healthcare: an integrated measurement framework.

BACKGROUND: The science of measuring and reporting on the performance of healthcare systems is rapidly evolving. In the past decade, across many jurisdictions, organisations tasked with monitoring progress towards reform targets have broadened their purview to take a more system-functioning approach. Their aim is to bring clarity to performance assessment, using relevant and robust concepts - and avoiding reductionist measures - to build a whole-of-system view of performance. Existing performance frameworks are not fully aligned with these developments. METHODS: An eight stage process to develop a conceptual framework incorporated literature review, mapping, categorisation, integration, synthesis and validation of performance constructs that have been used by organisations and researchers in order to assess, reflect and report on healthcare performance. RESULTS: A total of 19 performance frameworks were identified and included in the review. Existing frameworks mostly adopted either a logic model (inputs, outputs and outcomes), a functional, or a goal-achievement approach. The mapping process identified 110 performance terms and concepts. These were integrated, synthesised and resynthesised to produce a framework that features 12 derived constructs reflecting combinations of patients' needs and expectations; healthcare resources and structures; receipt and experience of healthcare services; healthcare processes, functions and context; and healthcare outcomes. The 12 constructs gauge performance in terms of coverage, accessibility, appropriateness, effectiveness, safety, productivity, efficiency, impact, sustainability, resilience, adaptability and equity. They reflect four performance perspectives (patient, population, delivery organisation and system). CONCLUSIONS: Internationally, healthcare systems and researchers have used a variety of terms to categorise indicators of healthcare performance, however few frameworks are based on a theoretically-based conceptual underpinning. The proposed framework incorporates a manageable number of performance domains that together provide a comprehensive assessment, as well as conceptual and operational clarity and coherence that support multifaceted measurement systems for healthcare.

Envisioning the future of clinical analytics: a modified Delphi process in New South Wales, Australia.

BACKGROUND: Clinical analytics is a rapidly developing area of informatics and knowledge mobilisation which has huge potential to improve healthcare in the future. It is widely acknowledged to be a powerful mediator of clinical decision making, patient-centred care and organisational learning. As a result, healthcare systems require a strategic foundation for clinical analytics that is sufficiently directional to support meaningful change while flexible enough to allow for iteration and responsiveness to context as change occurs. METHODS: In New South Wales, the most populous state in Australia, the Clinical Analytics Working Group was charged with developing a five-year vision for the public health system. A modified Delphi process was undertaken to elicit expert views and to reach a consensus. The process included a combination of face-to-face workshops, traditional Delphi voting via email, and innovative, real-time iteration between text re-formulation and voting until consensus was reached. The six stage process engaged 35 experts - practising clinicians, patients and consumers, managers, policymakers, data scientists and academics. RESULTS: The process resulted in the production of 135 ideas that were subsequently synthesised into 23 agreed statements and encapsulated in a single page (456 word) narrative. CONCLUSION: The visioning process highlighted three key perspectives (clinicians, patients and managers) and the need for synchronous (during the clinical encounter) and asynchronous (outside the clinical encounter) clinical decision support and reflective practice tools; the use of new and multiple data sources and communication formats; and the role of research and education.

Exploring variation in low-value care: a multilevel modelling study.

BACKGROUND: Whether patients receive low-value hospital care (care that is not expected to provide a net benefit) may be influenced by unmeasured factors at the hospital they attend or the hospital's Local Health District (LHD), or the patients' areas of residence. Multilevel modelling presents a method to examine the effects of these different levels simultaneously and assess their relative importance to the outcome. Knowing which of these levels has the greatest contextual effects can help target further investigation or initiatives to reduce low-value care. METHODS: We conducted multilevel logistic regression modelling for nine low-value hospital procedures. We fit a series of six models for each procedure. The baseline model included only episode-level variables with no multilevel structure. We then added each level (hospital, LHD, Statistical Local Area [SLA] of residence) separately and used the change in the c statistic from the baseline model as a measure of the contribution of the level to the outcome. We then examined the variance partition coefficients (VPCs) and median odds ratios for a model including all three levels. Finally, we added level-specific covariates to examine if they were associated with the outcome. RESULTS: Analysis of the c statistics showed that hospital was more important than LHD or SLA in explaining whether patients receive low-value care. The greatest increases were 0.16 for endoscopy for dyspepsia, 0.13 for colonoscopy for constipation, and 0.14 for sentinel lymph node biopsy for early melanoma. SLA gave a small increase in c compared with the baseline model, but no increase over the model with hospital. The VPCs indicated that hospital accounted for most of the variation not explained by the episode-level variables, reaching 36.8% (95% CI, 31.9-39.0) for knee arthroscopy. ERCP (8.5%; 95% CI, 3.9-14.7) and EVAR (7.8%; 95% CI, 2.9-15.8) had the lowest residual variation at the hospital level. The variables at the hospital, LHD and SLA levels that were available for this study generally showed no significant effect. CONCLUSIONS: Investigations into the causes of low-value care and initiatives to reduce low-value care might best be targeted at the hospital level, as the high variation at this level suggests the greatest potential to reduce low-value care.

Patterns of patient experience with primary care access in Australia, Canada, New Zealand and Switzerland: a comparative study.

OBJECTIVE: Access to primary care (PC) is vital, but complex to define and compare between settings. We aimed to generate a typology of patients' access patterns across countries using a novel inductive approach. DESIGN: Cross-sectional surveys. SETTING: Australia, Canada, New Zealand and Switzerland between 2012 and 2014 as part of the QUALICO-PC project. PARTICIPANTS: Data were collected from 1306 general practices and 10 000+ patients, with nine patients per practice. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Typology of access. RESULTS: Three axes were retained, explaining 23% of the total variance: (i) 'temporal and geographical access'; (ii) 'frequency of access and unmet healthcare needs'; and (iii) 'affordability and frequency of access'.Based on the three axes, we identified four clusters of patients: (i) patients reporting overall good access to PC; (ii) frequent users with unmet healthcare needs; (iii) under-users with financial barriers; and (iv) users with poor time/geographical access.Better access to PC was experienced in Switzerland and New Zealand, while worst access was reported in Canada, where most of the time and geographical barriers were reported. Most financial barriers were observed in Australia and New Zealand. Frequent users with some level of unmet healthcare needs are prevalent in all four countries. CONCLUSIONS: Four main groups of patients with different patterns of access were identified: (i) good access; (ii) geographical and time barriers; (iii) financial barriers; and (iv) frequent users with unmet healthcare needs. Differences in access between the four countries are substantial.

What matters to people with chronic conditions when accessing care in Australian general practice? A qualitative study of patient, carer, and provider perspectives.

BACKGROUND: Research underpinning the patient experience of people with chronic conditions in Australian general practice is not well developed. We aimed to ascertain the perspectives of key stakeholders on aspects of patient experience, more specifically with regards to accessing general practice in Australia. METHODS: Using a qualitative design, semi-structured interviews were conducted by telephone and face-to-face with people living with one or more chronic conditions, informal carers, and primary care providers between October 2016 and October 2017. Participants were recruited and selected from three demographically representative primary health networks across Sydney, Australia. Interview transcripts and researcher's reflective fieldnotes were coded and analyzed for key themes of access. Analysis and interpretation of data were guided by Levesque's model of access, a conceptual framework to evaluate access broadly and from corresponding patient- and provider-side dimensions. RESULTS: A total of 40 interviews were included in the analysis. Most participants had attended their general practices for 10 years or more and had regular primary care providers. People with chronic conditions reported access barriers predominantly in their ability to reach services, which were related to illness-related disabilities (limited mobility, chronic pain, fatigue, frailty) and limitations in the availability and accommodation of health services to address patient preferences (unavailability of after-hours services, lack of alternative modes of service delivery). While cost was not a major barrier, we found a lack of clarity in the factors that determined providers' decisions to waive or reduce costs for some patients and not others. CONCLUSIONS: People managing chronic conditions with a long-term primary care provider experienced access barriers in general practice, particularly in their ability to physically reach care and to do so on a timely basis. This study has important policy and practice implications, as it highlights patients' experiences of accessing care and possible areas for improvement to appropriately respond to these experiences. Themes identified may be useful in the design of a patient experience survey tool specific to this population. While it incorporates perspectives from patients, carers and providers, this study could be further strengthened by including perspectives from culturally and linguistically underrepresented patient groups and more carers.

Factors associated with successful chronic disease treatment plans for older Australians: Implications for rural and Indigenous Australians.

OBJECTIVE: To identify factors associated with having a successful treatment plan for managing chronic conditions. DESIGN: Secondary analysis of the Commonwealth Fund's 2014 International Health Policy Survey. SETTING: Australia 2014. PARTICIPANTS: A total of 3310 Australian adults over 55 years old. MAIN OUTCOME MEASURES: Whether respondents: (i) had a treatment plan for their chronic condition; and (ii) believed that the plan was helpful in managing their condition. METHODS: We used multiple logistic regressions to assess the association between individual factors (age, income, remoteness, Australian Aboriginal or Torres Strait Islander status) and patient reports of the outcomes of interest. RESULTS: Most respondents reported having a treatment plan for their chronic condition(s); the majority reported that it was helpful in managing their health. Treatment plan provision was associated with age over 75 years, above-average income, Australian Aboriginal or Torres Strait Islander status and multiple chronic conditions. Plans were less likely for residents of outer regional and remote areas. Indigenous respondents were far less likely than non-Indigenous respondents to report that their treatment plan helped a lot. Respondents with providers who 'always' explained things were far more likely to say that a treatment plan helped. CONCLUSION: While the patient-provider relationship influenced the perceived success of treatment plans, inequities in treatment plan provision seemed linked with rurality and income. The higher frequency of treatment plans for Indigenous respondents might reflect access to Australian Aboriginal or Torres Strait Islander health checks, while the plan's perceived lack of efficacy suggests a gap in cultural acceptability.

Dimensions and intensity of inter-professional teamwork in primary care: evidence from five international jurisdictions.

Background: Inter-professional teamwork in primary care settings offers potential benefits for responding to the increasing complexity of patients' needs. While it is a central element in many reforms to primary care delivery, implementing inter-professional teamwork has proven to be more challenging than anticipated. Objective: The objective of this study was to better understand the dimensions and intensity of teamwork and the developmental process involved in creating fully integrated teams. Methods: Secondary analyses of qualitative and quantitative data from completed studies conducted in Australia, Canada and USA. Case studies and matrices were used, along with face-to-face group retreats, using a Collaborative Reflexive Deliberative Approach. Results: Four dimensions of teamwork were identified. The structural dimension relates to human resources and mechanisms implemented to create the foundations for teamwork. The operational dimension relates to the activities and programs conducted as part of the team's production of services. The relational dimension relates to the relationships and interactions occurring in the team. Finally, the functional dimension relates to definitions of roles and responsibilities aimed at coordinating the team's activities as well as to the shared vision, objectives and developmental activities aimed at ensuring the long-term cohesion of the team. There was a high degree of variation in the way the dimensions were addressed by reforms across the national contexts. Conclusion: The framework enables a clearer understanding of the incremental and iterative aspects that relate to higher achievement of teamwork. Future reforms of primary care need to address higher-level dimensions of teamwork to achieve its expected outcomes.

Uncovering the wisdom hidden between the lines: the Collaborative Reflexive Deliberative Approach.

Background: Meta-analysis and meta-synthesis have been developed to synthesize results across published studies; however, they are still largely grounded in what is already published, missing the tacit 'between the lines' knowledge generated during many research projects that are not intrinsic to the main objectives of studies. Objective: To develop a novel approach to expand and deepen meta-syntheses using researchers' experience, tacit knowledge and relevant unpublished materials. Methods: We established new collaborations among primary health care researchers from different contexts based on common interests in reforming primary care service delivery and a diversity of perspectives. Over 2 years, the team met face-to-face and via tele- and video-conferences to employ the Collaborative Reflexive Deliberative Approach (CRDA) to discuss and reflect on published and unpublished results from participants' studies to identify new patterns and insights. Results: CRDA focuses on uncovering critical insights, interpretations hidden within multiple research contexts. For the process to work, careful attention must be paid to ensure sufficient diversity among participants while also having people who are able to collaborate effectively. Ensuring there are enough studies for contextual variation also matters. It is necessary to balance rigorous facilitation techniques with the creation of safe space for diverse contributions. Conclusions: The CRDA requires large commitments of investigator time, the expense of convening facilitated retreats, considerable coordination, and strong leadership. The process creates an environment where interactions among diverse participants can illuminate hidden information within the contexts of studies, effectively enhancing theory development and generating new research questions and strategies.

Contextual levers for team-based primary care: lessons from reform interventions in five jurisdictions in three countries.

Background: Most Western nations have sought primary care (PC) reform due to the rising costs of health care and the need to manage long-term health conditions. A common reform-the introduction of inter-professional teams into traditional PC settings-has been difficult to implement despite financial investment and enthusiasm. Objective: To synthesize findings across five jurisdictions in three countries to identify common contextual factors influencing the successful implementation of teamwork within PC practices. Methods: An international consortium of researchers met via teleconference and regular face-to-face meetings using a Collaborative Reflexive Deliberative Approach to re-analyse and synthesize their published and unpublished data and their own work experience. Studies were evaluated through reflection and facilitated discussion to identify factors associated with successful teamwork implementation. Matrices were used to summarize interpretations from the studies. Results: Seven common levers influence a jurisdiction's ability to implement PC teams. Team-based PC was promoted when funding extended beyond fee-for-service, where care delivery did not require direct physician involvement and where governance was inclusive of non-physician disciplines. Other external drivers included: the health professional organizations' attitude towards team-oriented PC, the degree of external accountability required of practices, and the extent of their links with the community and medical neighbourhood. Programs involving outreach facilitation, leadership training and financial support for team activities had some effect. Conclusion: The combination of physician dominance and physician aligned fee-for-service payment structures provide a profound barrier to implement team-oriented PC. Policy makers should carefully consider the influence of these and our other identified drivers when implementing team-oriented PC.

Moving regional health services planning and management to a population-based approach: implementation of the Regional Operating Model (ROM) in Victoria, Australia.

Various jurisdictions are moving towards population-based approaches to plan and manage healthcare services. The evidence on the implementation of these models remains limited. The aim of this study is to evaluate the effect of a regional operating model (ROM) on internal functioning and stakeholder engagement of a regional office. Semi-structured interviews and focus groups with staff members and stakeholders of the North West Metropolitan Regional office in Victoria, Australia, were conducted. Overall, the ROM was perceived as relevant to staff and stakeholders. However, creating shared objectives and priorities across a range of organisations remained a challenge. Area-based planning and management is seen as simplifying management of contracts; however, reservations were expressed about moving from specialist to more generalist approaches. A clearer articulation of the knowledge, skills and competencies required by staff would further support the implementation of the model. The ROM provides a platform for public services and stakeholders to discuss, negotiate and deliver on shared outcomes at the regional level. It provides an integrated managerial platform to improve service delivery and avoid narrow programmatic approaches.