scholarly journals Do people intend to have an active role in medical decision-making? The role of social resources

2015 ◽  
Vol 25 (suppl_3) ◽  
Author(s):  
A Brabers ◽  
J de Jong ◽  
P Groenewegen ◽  
L van Dijk
2019 ◽  
pp. bmjebm-2019-111247
Author(s):  
David Slawson ◽  
Allen F Shaughnessy

Overdiagnosis and overtreatment—overuse—is gaining wide acceptance as a leading nosocomial intervention in medicine. Not only does overuse create anxiety and diminish patients’ quality of life, in some cases it causes harm to both patients and others not directly involved in clinical care. Reducing overuse begins with the recognition and acceptance of the potential for unintended harm of our best intentions. In this paper, we introduce five cases to illustrate where harm can occur as the result of well-intended healthcare interventions. With this insight, clinicians can learn to appreciate the critical role of probability-based, evidence-informed decision-making in medicine and the need to consider the outcomes for all who may be affected by their actions. Likewise, educators need to evolve medical education and medical decision-making so that it focuses on the hierarchy of evidence and that what ‘ought to work’, based on traditional pathophysiological, disease-focused reasoning, should be subordinate to what ‘does work’.


2016 ◽  
Vol 13 (11) ◽  
pp. 1969-1976 ◽  
Author(s):  
Marilyn M. Schapira ◽  
Charu Aggarwal ◽  
Scott Akers ◽  
Jaya Aysola ◽  
Diana Imbert ◽  
...  

1997 ◽  
Vol 47 (1-2) ◽  
pp. 43-49 ◽  
Author(s):  
M.F. Anderson ◽  
H. Moazamipour ◽  
D.L. Hudson ◽  
M.E. Cohen

2019 ◽  
Vol 26 (2) ◽  
pp. 1152-1176 ◽  
Author(s):  
Motti Haimi ◽  
Shuli Brammli-Greenberg ◽  
Yehezkel Waisman ◽  
Nili Stein ◽  
Orna Baron-Epel

The complex process of medical decision-making is prone also to medically extraneous influences or “non-medical” factors. We aimed to investigate the possible role of non-medical factors in doctors’ decision-making process in a telemedicine setting. Interviews with 15 physicians who work in a pediatric telemedicine service were conducted. Those included a qualitative section, in which the physicians were asked about the role of non-medical factors in their decisions. Their responses to three clinical scenarios were also analyzed. In an additional quantitative section, a random sample of 339 parent -physician consultations, held during 2014–2017, was analyzed retrospectively. Various non-medical factors were identified with respect to their possible effect on primary and secondary decisions, the accuracy of diagnosis, and “reasonability” of the decisions. Various non-medical factors were found to influence physicians’ decisions. Those factors were related to the child, the applying parent, the physician, the interaction between the doctor and parents, the shift, and to demographic considerations, and were also found to influence the ability to make an accurate diagnosis and “reasonable” decisions. Our conclusion was that non-medical factors have an impact on doctor’s decisions, even in the setting of telemedicine, and should be considered for improving medical decisions in this milieu.


2018 ◽  
Author(s):  
Yen-Yuan Chen ◽  
Yu-Fang Cheng ◽  
Chau-Chung Wu ◽  
Tzong-Shinn Chu

BACKGROUND The rapid advance of information technology since the end of twentieth century has deeply influenced the ways people gather health information to use as references for medical decision-making. Studies have overwhelmingly been focused on the association between health information in the media and the usage of medical care, nevertheless, none of them have examined the association between the usage of social media for gathering health information and patients’ active participation in medical decision-making. OBJECTIVE The objective of this study was to examine the influence of the health information obtained from social media has on patients’ preference to actively participate in medical decision-making. METHODS The participants in this study were openly recruited from the patients who were admitted to the cardiology inpatient unit in the Department of Internal Medicine with an admission diagnosis of coronary artery disease. We used Control Preference Scale to estimate each patient’s preference to play an active role, a collaborative role, or a passive role in medical decision-making. We conducted multivariate logistic regression for examining the association between “gathering health information from social media” and “playing an active role in medical decision-making”, by including the confounding variables which have an association with the outcome variable with a p value of less than .30. RESULTS A total of 156 patients participated in this study. After adjusting for the confounding variables, patients who gathered health information related to coronary artery disease from social media were more likely to play an active role in medical decision-making (odds ratio = 2.85, p = 0.04). Furthermore, the odds of patients with one-year increment of their age for playing an active role in medical decision-making was decreased approximately by 6.20% (odds ratio = 0.94, p = 0.01), and patients cared for by Physician C preferred to play an active role as compared to other physicians (odds ratio = 5.37, p = 0.04). CONCLUSIONS Although health information gathered from social media may have been discussed and validated by one’s companions on social media, there is no guarantee that the health information is correct. If the health information gathered from social media is correct, patients’ active participation in medical decision-making is helpful in facilitating physician-patient communication towards that aim. Future studies may be focused on how information seekers use modern information technology to gather correct health information. CLINICALTRIAL N/A


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