Literature DB >> 28302584

Uncertainty of Physicians and Patients in Medical Decision Making.

Tejaswini Dhawale1, Lotte M Steuten2, H Joachim Deeg3.   

Abstract

Modern medicine has developed an apparently unlimited array of diagnostic and therapeutic tools; for example, treatment options for patients with hematologic malignancies are expanding rapidly. These developments, offering a spectrum of modalities, provide a new outlook on successful treatment for many patients. Nontheless, decisions regarding the optimum treatment strategy for any individual patient remain challenging, given that all prognostic projections are based on statistics. The challenge lies in identifying parameters that characterize individual patients as prospective responders or nonresponders and thus determine the prognosis. Both physicians and patients are confronted with the uncertainty of the success of treatment with any strategy in a particular disease condition and with the impact of treatment on overall prognosis. How certain can a physician be that an individual patient has the best prognosis with a particular intervention? How does a physician's own uncertainty affect decisions made by a less-informed patient? Here we examine various aspects of uncertainty and their relevance in the process of medical decision making as briefly illustrated by 2 clinical scenarios of hematologic malignancies.
Copyright © 2017 The American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Patient/physician uncertainty; Uncertainty in medical decision making; Uncertainty of treatment success

Mesh:

Year:  2017        PMID: 28302584     DOI: 10.1016/j.bbmt.2017.03.013

Source DB:  PubMed          Journal:  Biol Blood Marrow Transplant        ISSN: 1083-8791            Impact factor:   5.742


  9 in total

1.  Seven Types of Uncertainty When Clinicians Care for Pediatric Patients With Advanced Cancer.

Authors:  Douglas L Hill; Jennifer K Walter; Julia E Szymczak; Concetta DiDomenico; Shefali Parikh; Chris Feudtner
Journal:  J Pain Symptom Manage       Date:  2019-08-16       Impact factor: 3.612

2.  The Rhetoric of the 'Passive Patient' in Indian Medical Negligence Cases.

Authors:  Supriya Subramani
Journal:  Asian Bioeth Rev       Date:  2019-12-04

3.  How Do Blood Cancer Doctors Discuss Prognosis? Findings from a National Survey of Hematologic Oncologists.

Authors:  Anand R Habib; Angel M Cronin; Craig C Earle; James A Tulsky; Jennifer W Mack; Gregory A Abel; Oreofe O Odejide
Journal:  J Palliat Med       Date:  2019-03-23       Impact factor: 2.947

4.  A Machine Learning Based Discharge Prediction of Cardiovascular Diseases Patients in Intensive Care Units.

Authors:  Kaouter Karboub; Mohamed Tabaa
Journal:  Healthcare (Basel)       Date:  2022-05-24

5.  Therapeutic Schedule Evaluation for Brain-Metastasized Non-Small Cell Lung Cancer with A Probabilistic Linguistic ELECTRE II Method.

Authors:  Ling Pan; Peijia Ren; Zeshui Xu
Journal:  Int J Environ Res Public Health       Date:  2018-08-21       Impact factor: 3.390

6.  Developing and validating of the Clinical Uncertainty Measurement Questionnaire (CUMQ) among practicing physicians and clinical residents in Iran.

Authors:  Shirin Ghanavati; Hamid Reza Baradaran; Seyed Kamran Soltani Arabshahi; Shoaleh Bigdeli
Journal:  BMC Med Educ       Date:  2022-06-16       Impact factor: 3.263

7.  Patient perspectives on treatment decision-making under clinical uncertainty: chemotherapy treatment decisions among stage II colon cancer patients.

Authors:  Laura E Brotzman; Danielle M Crookes; Jessica D Austin; Alfred I Neugut; Rachel C Shelton
Journal:  Transl Behav Med       Date:  2021-10-23       Impact factor: 3.626

8.  Physician uncertainty aversion impacts medical decision making for older patients with acute myeloid leukemia: results of a national survey.

Authors:  Pierre Bories; Sébastien Lamy; Célestine Simand; Sarah Bertoli; Cyrille Delpierre; Sandra Malak; Luc Fornecker; Stéphane Moreau; Christian Récher; Antoine Nebout
Journal:  Haematologica       Date:  2018-07-13       Impact factor: 9.941

9.  Not all patients with AML over 60 years of age should be offered early allogeneic stem cell transplantation.

Authors:  H Joachim Deeg
Journal:  Blood Adv       Date:  2022-03-08
  9 in total

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