Cortney Matthews, David Ring, Teun Teunis, Sina Ramtin
{"title":"Factors Associated With Acceptance of an Optional Diagnosis.","authors":"Cortney Matthews, David Ring, Teun Teunis, Sina Ramtin","doi":"10.1097/QMH.0000000000000476","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>A sensation becomes a symptom (a concern) when a person associates it with potential illness. In the absence of objective evidence of a pathophysiological process that has important health consequences without treatment, assigning a diagnosis to the sensation is optional. This is important because labeling of benign bodily sensations as pathophysiology has potential advantages and disadvantages.</p><p><strong>Question: </strong>We asked what patient and clinician factors are associated with willingness to accept an optional diagnosis.</p><p><strong>Methods: </strong>In a survey administered using Amazon M-Turk, 536 people anonymously completed validated measures for symptoms of anxiety and depression, intolerance of uncertainty, and skepticism regarding the healthcare system. They then viewed fictional personal medical scenarios in which they were asked to imagine they experienced certain symptoms, and were offered an optional diagnosis of a nerve problem, muscle pain syndrome, or fatigue syndrome, and were asked to rate their willingness to accept the diagnosis on an 12-point ordinal scale from 0 indicating \"I do not accept it at all\" to 11 indicating \"I accept it with enthusiasm.\" The language of the scenarios was varied to attempt to reflect critical thinking, denigration of other doctors, an alternative mental health focus, or a hopeful outlook. Multilevel linear regression was used to identify factors associated with likelihood of accepting an optional diagnosis.</p><p><strong>Results: </strong>Threshold likelihood of accepting an optional diagnosis greater than 5.5 on a 0 to 11 ordinal scale was independently associated with greater symptoms of anxiety (regression coefficient [RC] = 0.38, 95% confidence interval [95% CI] = 0.30-0.47, P < .001), greater skepticism regarding the healthcare system (RC = 0.11, 95% CI = 0.076-0.13, P < .001), and delivery tones characterized by either denigration of other doctors (RC = 0.39, 95% CI = 0.19-0.60, P < .001) or a hopeful outlook (RC = 0.50, 95% CI = 0.26-0.73, P < .001).</p><p><strong>Conclusion: </strong>Likelihood of accepting an optional diagnosis may be a sign of relative vulnerability from feelings of distress or distrust of medical evidence. Given this potential vulnerability, clinicians can take care to limit persuasive communication styles that can influence acceptance of optional diagnoses.</p><p><strong>Level of evidence: </strong>III prognostic.</p>","PeriodicalId":20986,"journal":{"name":"Quality Management in Health Care","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality Management in Health Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/QMH.0000000000000476","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: A sensation becomes a symptom (a concern) when a person associates it with potential illness. In the absence of objective evidence of a pathophysiological process that has important health consequences without treatment, assigning a diagnosis to the sensation is optional. This is important because labeling of benign bodily sensations as pathophysiology has potential advantages and disadvantages.
Question: We asked what patient and clinician factors are associated with willingness to accept an optional diagnosis.
Methods: In a survey administered using Amazon M-Turk, 536 people anonymously completed validated measures for symptoms of anxiety and depression, intolerance of uncertainty, and skepticism regarding the healthcare system. They then viewed fictional personal medical scenarios in which they were asked to imagine they experienced certain symptoms, and were offered an optional diagnosis of a nerve problem, muscle pain syndrome, or fatigue syndrome, and were asked to rate their willingness to accept the diagnosis on an 12-point ordinal scale from 0 indicating "I do not accept it at all" to 11 indicating "I accept it with enthusiasm." The language of the scenarios was varied to attempt to reflect critical thinking, denigration of other doctors, an alternative mental health focus, or a hopeful outlook. Multilevel linear regression was used to identify factors associated with likelihood of accepting an optional diagnosis.
Results: Threshold likelihood of accepting an optional diagnosis greater than 5.5 on a 0 to 11 ordinal scale was independently associated with greater symptoms of anxiety (regression coefficient [RC] = 0.38, 95% confidence interval [95% CI] = 0.30-0.47, P < .001), greater skepticism regarding the healthcare system (RC = 0.11, 95% CI = 0.076-0.13, P < .001), and delivery tones characterized by either denigration of other doctors (RC = 0.39, 95% CI = 0.19-0.60, P < .001) or a hopeful outlook (RC = 0.50, 95% CI = 0.26-0.73, P < .001).
Conclusion: Likelihood of accepting an optional diagnosis may be a sign of relative vulnerability from feelings of distress or distrust of medical evidence. Given this potential vulnerability, clinicians can take care to limit persuasive communication styles that can influence acceptance of optional diagnoses.
期刊介绍:
Quality Management in Health Care (QMHC) is a peer-reviewed journal that provides a forum for our readers to explore the theoretical, technical, and strategic elements of health care quality management. The journal''s primary focus is on organizational structure and processes as these affect the quality of care and patient outcomes. In particular, it:
-Builds knowledge about the application of statistical tools, control charts, benchmarking, and other devices used in the ongoing monitoring and evaluation of care and of patient outcomes;
-Encourages research in and evaluation of the results of various organizational strategies designed to bring about quantifiable improvements in patient outcomes;
-Fosters the application of quality management science to patient care processes and clinical decision-making;
-Fosters cooperation and communication among health care providers, payers and regulators in their efforts to improve the quality of patient outcomes;
-Explores links among the various clinical, technical, administrative, and managerial disciplines involved in patient care, as well as the role and responsibilities of organizational governance in ongoing quality management.