Bastian Seidel

Climate change: could it help develop ‘adaptive expertise’?

Preparing health practitioners to respond to the rising burden of disease from climate change is emerging as a priority in health workforce policy and planning. However, this issue is hardly represented in the medical education research. The rapidly evolving wide range of direct and indirect consequences of climate change will require health professionals to have not only broad content knowledge but also flexibility and responsiveness to diverse regional conditions as part of complex health problem-solving and adaptation. It is known that adaptive experts may not necessarily be quick at solving familiar problems, but they do creatively seek to better solve novel problems. This may be the result of an acquired approach to practice or a pathway that can be fostered by learning environments. It is also known that building adaptive expertise in medical education involves putting students on a learning pathway that requires them to have, first, the motivation to innovatively problem-solve and, second, exposure to diverse content material, meaningfully presented. Including curriculum content on the health effects of climate change could help meet these two conditions for some students at least. A working definition and illustrative competencies for adaptive expertise for climate change, as well as examples of teaching and assessment approaches extrapolated from rural curricula, are provided.

The evidence-policy divide: a 'critical computational linguistics' approach to the language of 18 health agency CEOs from 9 countries

BackgroundThere is an emerging body of literature suggesting that the evidence-practice divide in health policy is complex and multi-factorial but less is known about the processes by which health policy-makers use evidence and their views about the specific features of useful evidence. This study aimed to contribute to understandings of how the most influential health policy-makers view useful evidence, in ways that help explore and question how the evidence-policy divide is understood and what research might be supported to help overcome this divide.MethodsA purposeful sample of 18 national and state health agency CEOs from 9 countries was obtained. Participants were interviewed using open-ended questions that asked them to define specific features of useful evidence. The analysis involved two main approaches 1)quantitative mapping of interview transcripts using Bayesian-based computational linguistics software 2)qualitative critical discourse analysis to explore the nuances of language extracts so identified.ResultsThe decision-making, conclusions-oriented world of policy-making is constructed separately, but not exclusively, by policy-makers from the world of research. Research is not so much devalued by them as described as too technical— yet at the same time not methodologically complex enough to engage with localised policy-making contexts. It is not that policy-makers are negative about academics or universities, it is that they struggle to find complexity-oriented methodologies for understanding their stakeholder communities and improving systems. They did not describe themselves as having a more positive role in solving this challenge than academics.ConclusionsThese interviews do not support simplistic definitions of policy-makers and researchers as coming from two irreconcilable worlds. They suggest that qualitative and quantitative research is valued by policy-makers but that to be policy-relevant health research may need to focus on building complexity-oriented research methods for local community health and service development. Researchers may also need to better explain and develop the policy-relevance of large statistical generalisable research designs. Policy-makers and public health researchers wanting to serve local community needs may need to be more proactive about questioning whether the dominant definitions of research quality and the research funding levers that drive university research production are appropriately inclusive of excellence in such policy-relevant research.

Evidence in clinical reasoning: a computational linguistics analysis of 789,712 medical case summaries 1983–2012

BackgroundBetter understanding of clinical reasoning could reduce diagnostic error linked to 8% of adverse medical events and 30% of malpractice cases. To a greater extent than the evidence-based movement, the clinical reasoning literature asserts the importance of practitioner intuition—unconscious elements of diagnostic reasoning. The study aimed to analyse the content of case report summaries in ways that explored the importance of an evidence concept, not only in relation to research literature but also intuition.MethodsThe study sample comprised all 789,712 abstracts in English for case reports contained in the database PUBMED for the period 1 January 1983 to 31 December 2012. It was hypothesised that, if evidence and intuition concepts were viewed by these clinical authors as essential to understanding their case reports, they would be more likely to be found in the abstracts. Computational linguistics software was used in 1) concept mapping of 21,631,481 instances of 201 concepts, and 2) specific concept analyses examining 200 paired co-occurrences for ‘evidence’ and research ‘literature’ concepts.Results‘Evidence’ is a fundamentally patient-centred, intuitive concept linked to less common concepts about underlying processes, suspected disease mechanisms and diagnostic hunches. In contrast, the use of research literature in clinical reasoning is linked to more common reasoning concepts about specific knowledge and descriptions or presenting features of cases. ‘Literature’ is by far the most dominant concept, increasing in relevance since 2003, with an overall relevance of 13% versus 5% for ‘evidence’ which has remained static.ConclusionsThe fact that the least present types of reasoning concepts relate to diagnostic hunches to do with underlying processes, such as what is suspected, raises questions about whether intuitive practitioner evidence-making, found in a constellation of dynamic, process concepts, has become less important. The study adds support to the existing corpus of research on clinical reasoning, by suggesting that intuition involves a complex constellation of concepts important to how the construct of evidence is understood. The list of concepts the study generated offers a basis for reflection on the nature of evidence in diagnostic reasoning and the importance of intuition to that reasoning.

A comparative analysis of policies addressing rural oral health in eight English-speaking OECD countries

INTRODUCTON Oral health is fundamental to overall health. Poor oral health is largely preventable but unacceptable inequalities exist, particularly for people in rural areas. The issues are complex. Rural populations are characterised by lower rates of health insurance, higher rates of poverty, less water fluoridation, fewer dentists and oral health specialists, and greater distances to access care. These factors inter-relate with educational, attitudinal, and system-level issues. An important area of enquiry is whether and how national oral health policies address causes and solutions for poor rural oral health. The purpose of this study was to examine a series of government policies on oral health to (i) determine the extent to which such policies addressed rural oral health issues, and (ii) identify enabling assumptions in policy language about problems and solutions regarding rural communities. METHODS Eight current oral health policies were identified from Australia, New Zealand, Canada, the USA, England, Scotland, Northern Ireland, and Wales. Validated content and critical discourse analyses were used to document and explore the concepts in these policy documents, with a particular focus on the frequency with which rural oral health was mentioned, and the enabling assumptions in policy language about rural communities. RESULTS Seventy-three concepts relating to oral health were identified from the textual analysis of the eight policy documents. The rural concept addressing oral health issues occurred in only 2% of all policies and was notably absent from the oral health policies of countries with substantial rural populations. It occurred most frequently in the policy documents from Australia and Scotland, less so in the policy documents from Canada, Wales, and New Zealand, and not at all in the oral health policies from the US, England, and Northern Ireland. Thus, the oral health needs of rural communities were generally not the focus of, nor included in, the oral health policy documents in this study. When the language of concepts related to rural oral health was examined, the qualitative analysis identified four discourse themes related to both causality and solutions. These ranked discourse themes focused on service models, workforce issues, social determinants of health, and prevention. None of the policies addressed the structural economic determinants of unequal rural oral health, nor did they specifically assert the rights of children in rural communities to equitable oral health care. CONCLUSIONS This study documented the limited focus on rural oral health that existed in national oral health policies from eight different English-speaking countries. It supports the need for an increased focus on rural oral health issues in oral health policies, particularly as increased oral health is clearly associated with increased general health. It speaks to the critical importance of periodic analysis of the content of oral health policies to ensure that issues of inequality are addressed. Further, it reinforces the need for research findings about effective oral health care to be translated into practice in the development of practical and financially viable policies to make access to oral health care more equitable, particularly for people living in rural and remote areas.

A feasibility study of team-based primary care for chronic disease management training in rural Australia.

Increasing rates of chronic disease management (CDM) are projected to contribute to significant effective shortfalls in the primary care workforce in Australia.1 Additionally, rural Australia carries a higher burden of chronic illness2 and has existing medical workforce shortages.3 Therefore, it is imperative that rural primary care maximises the efficiency of the CDM it provides. Disciplines Medicine and Health Sciences Publication Details Bonney, A., Dijkmans-Hadley, B., Seidel, B., MacKinnon, D. & Phillipson, L. (2017). A feasibility study of team-based primary care for chronic disease management training in rural Australia. Australian Journal of Rural Health, 25 (1), 66-67. This journal article is available at Research Online: http://ro.uow.edu.au/ihmri/1034 Article Title: A feasibility study of team-based primary care for chronic disease management training in rural Australia

Health adaptation policy for climate vulnerable groups: a ‘critical computational linguistics’ analysis

BackgroundMany countries are developing or reviewing national adaptation policy for climate change but the extent to which these meet the health needs of vulnerable groups has not been assessed. This study examines the adequacy of such policies for nine known climate-vulnerable groups: people with mental health conditions, Aboriginal people, culturally and linguistically diverse groups, aged people, people with disabilities, rural communities, children, women, and socioeconomically disadvantaged people.MethodsThe study analyses an exhaustive sample of national adaptation policy documents from Annex 1 (‘developed’) countries of the United Nations Framework Convention on Climate Change: 20 documents from 12 countries. A ‘critical computational linguistics’ method was used involving novel software-driven quantitative mapping and traditional critical discourse analysis.ResultsThe study finds that references to vulnerable groups are relatively little present or non-existent, as well as poorly connected to language about practical strategies and socio-economic contexts, both also little present.ConclusionsThe conclusions offer strategies for developing policy that is better informed by a ‘social determinants of health’ definition of climate vulnerability, consistent with best practice in the literature and global policy prescriptions.

Developing 'policy stories' for state health system benchmarking: a small- N quali-quantitative study

Abstract Background: The benchmarking literature has made important advances and offers many different population health indicators that can be used to compare state health systems. However, there is still a need for qualitative, complexity-oriented approaches that allow policy-makers to develop explanatory ‘policy stories’ from combining such indicators that are useful to policy solutions. Methods: A new qualitative method from the social sciences based on Boolean approaches, called Qualitative Comparative Analysis (QCA), was piloted in a ‘real world’ policy consultancy to combine Australian state-level indicators of community and health system inputs, interventions, and population health outcomes. Analyses were provided for state inputs and outcomes in a specific area of chronic disease (mental health), along with state profiling for differences in risky health-related behaviours. Results: The QCA method suggested that the state of Tasmania may resemble South Australia in terms of having lower community inputs, as well as higher levels of mental health system inputs and interventions (such as prescriptions), than other states with the outcome of higher self-reported psychological distress. Theoretically, employment levels explained state-level differences in self-reported psychological distress. In terms of risky health-related behaviours, the QCA suggested that Tasmania leads other states in both socio-economic challenges and risky health behaviours. Theoretically, smoking explained state-level differences in self-assessed health. Conclusions: The QCA method has its weaknesses, but in this study, it allowed for the development of policy stories based on systematic comparisons of different states. It also suggested theoretically plausible explanations for differences in state-level outcomes.

Understanding and benchmarking health service achievement of policy goals for chronic disease

BackgroundKey challenges in benchmarking health service achievement of policy goals in areas such as chronic disease are: 1) developing indicators and understanding how policy goals might work as indicators of service performance; 2) developing methods for economically collecting and reporting stakeholder perceptions; 3) combining and sharing data about the performance of organizations; 4) interpreting outcome measures; 5) obtaining actionable benchmarking information. This study aimed to explore how a new Boolean-based small-N method from the social sciences—Qualitative Comparative Analysis or QCA—could contribute to meeting these internationally shared challenges.MethodsA ‘multi-value QCA’ (MVQCA) analysis was conducted of data from 24 senior staff at 17 randomly selected services for chronic disease, who provided perceptions of 1) whether government health services were improving their achievement of a set of statewide policy goals for chronic disease and 2) the efficacy of state health office actions in influencing this improvement. The analysis produced summaries of configurations of perceived service improvements.ResultsMost respondents observed improvements in most areas but uniformly good improvements across services were not perceived as happening (regardless of whether respondents identified a state health office contribution to that improvement). The sentinel policy goal of using evidence to develop service practice was not achieved at all in four services and appears to be reliant on other kinds of service improvements happening.ConclusionsThe QCA method suggested theoretically plausible findings and an approach that with further development could help meet the five benchmarking challenges. In particular, it suggests that achievement of one policy goal may be reliant on achievement of another goal in complex ways that the literature has not yet fully accommodated but which could help prioritize policy goals. The weaknesses of QCA can be found wherever traditional big-N statistical methods are needed and possible, and in its more complex and therefore difficult to empirically validate findings. It should be considered a potentially valuable adjunct method for benchmarking complex health policy goals such as those for chronic disease.