Why Bayesian analysis hasn't caught on in healthcare decision making.
نویسنده
چکیده
The objective of this paper is to discuss why Bayesian statistics is not used more in healthcare decision making and what might be done to increase the use of Bayesian methods. First, a case is made for why Bayesian analysis should be used more widely. Serious weaknesses of commonly used frequentist methods are discussed and contrasted with advantages of Bayesian methods. Next, the question of why Bayesian methods are not used more widely is addressed, considering both philosophical differences and practical issues. Contrary to what some might think, the practical issues are more important in this regard. Finally, some steps to encourage increased use of Bayesian methods in healthcare decision making are presented and discussed. These ideas are straightforward but are by no means trivial to implement, largely because it is difficult to fight tradition and make major paradigm shifts quickly. The primary needs are improved Bayesian training at the basic level (which means textbooks and other materials as well as training of those who teach at the basic level), procedures to make Bayesian analysis easier to understand and use (better software and standard methods for displaying and communicating Bayesian outputs will help here), and the education of decision makers about the advantages of Bayesian methods in important healthcare decision-making problems.
منابع مشابه
Providers and Patients Caught Between Standardization and Individualization: Individualized Standardization as a Solution; Comment on “(Re) Making the Procrustean Bed? Standardization and Customization as Competing Logics in Healthcare”
In their 2017 article, Mannion and Exworthy provide a thoughtful and theory-based analysis of two parallel trends in modern healthcare systems and their competing and conflicting logics: standardization and customization. This commentary further discusses the challenge of treatment decision-making in times of evidence-based medicine (EBM), shared decision-making and personalized medicine. From ...
متن کاملUsing the Taxonomy and the Metrics: What to Study When and Why; Comment on “Metrics and Evaluation Tools for Patient Engagement in Healthcare Organization- and System-Level Decision-Making: A Systematic Review”
Dukhanin and colleagues’ taxonomy of metrics for patient engagement at the organizational and system levels has great potential for supporting more careful and useful evaluations of this ever-growing phenomenon. This commentary highlights the central importance to the taxonomy of metrics assessing the extent of meaningful participation in decision-making by patients, consumers and community mem...
متن کاملPriority Setting Meets Multiple Streams: A Match to Be Further Examined?; Comment on “Introducing New Priority Setting and Resource Allocation Processes in a Canadian Healthcare Organization: A Case Study Analysis Informed by Multiple Streams Theory”
With demand for health services continuing to grow as populations age and new technologies emerge to meet health needs, healthcare policy-makers are under constant pressure to set priorities, ie, to make choices about the health services that can and cannot be funded within available resources. In a recent paper, Smith et al apply an influential policy studies framework – Kingdon’s multiple str...
متن کاملThe Why, Who, What, How, and When of Patient Engagement in Healthcare Organizations: A Response to Recent Commentaries
متن کامل
Around the Tables – Contextual Factors in Healthcare Coverage Decisions Across Western Europe
Background Across Western Europe, procedures and formalised criteria for taking decisions on the coverage (inclusion in the benefits basket or equivalent) of healthcare technologies vary substantially. In the decision documents, which display the justification of, the rationale for, these decisions, national healthcare institutes ma...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- International journal of technology assessment in health care
دوره 17 1 شماره
صفحات -
تاریخ انتشار 2001