Patient Care under Uncertainty / / Charles F. Manski.

• Superior document: Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2019 English
• VerfasserIn: Manski, Charles F.,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2019]; ©2019
• Year of Publication: 2019
• Language: English
• Physical Description: 1 online resource (184 p.) :; 4 tables.

How cutting-edge economics can improve decision-making methods for doctorsAlthough uncertainty is a common element of patient care, it has largely been overlooked in research on evidence-based medicine. Patient Care under Uncertainty strives to correct this glaring omission. Applying the tools of economics to medical decision making, Charles Manski shows how uncertainty influences every stage, from risk analysis to treatment, and how this can be reasonably confronted.In the language of econometrics, uncertainty refers to the inadequacy of available evidence and knowledge to yield accurate information on outcomes. In the context of health care, a common example is a choice between periodic surveillance or aggressive treatment of patients at risk for a potential disease, such as women prone to breast cancer. While these choices make use of data analysis, Manski demonstrates how statistical imprecision and identification problems often undermine clinical research and practice. Reviewing prevailing practices in contemporary medicine, he discusses the controversy regarding whether clinicians should adhere to evidence-based guidelines or exercise their own judgment. He also critiques the wishful extrapolation of research findings from randomized trials to clinical practice. Exploring ways to make more sensible judgments with available data, to credibly use evidence, and to better train clinicians, Manski helps practitioners and patients face uncertainties honestly. He concludes by examining patient care from a public health perspective and the management of uncertainty in drug approvals.Rigorously interrogating current practices in medicine, Patient Care under Uncertainty explains why predictability in the field has been limited and furnishes criteria for more cogent steps forward.

Table of Contents

Frontmatter -- CONTENTS -- PREFACE -- Introduction -- 1. Clinical Guidelines and Clinical Judgment -- 2. Wishful Extrapolation from Research to Patient Care -- 3. Credible Use of Evidence to Inform Patient Care -- 4. Reasonable Care under Uncertainty -- 5. Reasonable Care with Sample Data -- 6. A Population Health Perspective on Reasonable Care -- 7. Managing Uncertainty in Drug Approval -- Conclusion -- Complement 1A. Overview of Research on Lymph Node Dissection -- Complement 1B. Formalization of Optimal Choice between Surveillance and Aggressive Treatment -- Complement 2A. Odds Ratios and Health Risks -- Complement 3A. The Ecological Inference Problem in Personalized Risk Assessment -- Complement 3B. Bounds on Success Probabilities with No Knowledge of Counterfactual Outcomes -- Complement 4A. Formalization of Reasonable Choice between Surveillance and Aggressive Treatment -- Complement 5A. Treatment Choice as a Statistical Decision Problem -- Complement 6A. Minimax-Regret Allocation of Patients to Two Treatments -- Complement 6B. Derivations for Criteria to Treat X-Pox -- References -- Index