Medical Decision Making and People with Disabilities: A Clash of Cultures

1995 ◽  
Vol 23 (1) ◽  
pp. 82-87 ◽  
Author(s):  
Paul K. Longmore

In discussions of medical decision making as it applies to people with disabilities, a major obstacle stands in the way: the perceptions and values of disabled people (particularly disability rights advocates and disabled social scientists) and of many nondisabled people (particularly health care professionals, ethicists, and health policy analysts), regarding virtually the whole range of current health and medical-ethical issues (treatment decision making, health care access and health care rationing, medical costcontainment, and assisted suicide), seem frequently to conflict with one another. This divergence in part grows out of the sense, common among people with disabilities, that their interactions with “the helping professions,” medical and social service professionals, are adversarial. But those differences of opinion also stem more basically from a clash of fundamental values.This paper addresses, in historical perspective, the ways in which the status of persons with disabilities as a stigmatized minority group affects medical decision making. It also examines the efforts of disability rights activists to prevent discrimination against persons with disabilities in current medical culture. Finally, it raises questions about how the rights of people with disabilities will fare as new care standards are developed and implemented.

1996 ◽  
Vol 1 (3) ◽  
pp. 175-178 ◽  
Author(s):  
Colin Gordon

Expert systems to support medical decision-making have so far achieved few successes. Current technical developments, however, may overcome some of the limitations. Although there are several theoretical currents in medical artificial intelligence, there are signs of them converging. Meanwhile, decision support systems, which set themselves more modest goals than replicating or improving on clinicians' expertise, have come into routine use in places where an adequate electronic patient record exists. They may also be finding a wider role, assisting in the implementation of clinical practice guidelines. There is, however, still much uncertainty about the kinds of decision support that doctors and other health care professionals are likely to want or accept.


Author(s):  
Eelco Draaisma ◽  
Lauren A. Maggio ◽  
Jolita Bekhof ◽  
A. Debbie C. Jaarsma ◽  
Paul L. P. Brand

Abstract Introduction Although evidence-based medicine (EBM) teaching activities may improve short-term EBM knowledge and skills, they have little long-term impact on learners’ EBM attitudes and behaviour. This study examined the effects of learning EBM through stand-alone workshops or various forms of deliberate EBM practice. Methods We assessed EBM attitudes and behaviour with the evidence based practice inventory questionnaire, in paediatric health care professionals who had only participated in a stand-alone EBM workshop (controls), participants with a completed PhD in clinical research (PhDs), those who had completed part of their paediatric residency at a department (Isala Hospital) which systematically implemented EBM in its clinical and teaching activities (former Isala residents), and a reference group of paediatric professionals currently employed at Isala’s paediatric department (current Isala participants). Results Compared to controls (n = 16), current Isala participants (n = 13) reported more positive EBM attitudes (p < 0.01), gave more priority to using EBM in decision making (p = 0.001) and reported more EBM behaviour (p = 0.007). PhDs (n = 20) gave more priority to using EBM in medical decision making (p < 0.001) and reported more EBM behaviour than controls (p = 0.016). Discussion Health care professionals exposed to deliberate practice of EBM, either in the daily routines of their department or by completing a PhD in clinical research, view EBM as more useful and are more likely to use it in decision making than their peers who only followed a standard EBM workshop. These findings support the use of deliberate practice as the basis for postgraduate EBM educational activities.


2018 ◽  
Vol 12 (5) ◽  
pp. 1635-1647 ◽  
Author(s):  
Rachel Thera ◽  
Dr. Tracey Carr ◽  
Dr. Gary Groot ◽  
Nicole Baba ◽  
Dr. Kunal Jana

The availability of several treatment options for prostate cancer creates a situation where patients may need to come to a shared decision with their health-care team regarding their care. Shared decision-making (SDM) is the concept of a patient and a health-care professional collaborating to make decisions about the patient’s treatment course. Nurse navigators (NNs) are health-care professionals often involved in the SDM process. The current project sought to evaluate the way in which patients with prostate cancer make decisions regarding their care and to determine patients’ perspectives of the role of the NN in the SDM process. Eleven participants were recruited from the Prostate Assessment Centre by a NN. They were interviewed via telephone and their responses were analyzed using thematic analysis. Five interacting factors were determined to influence the way participants made decisions including level of anxiety, desire to maintain normalcy, support system quality, exposure to cancer narratives, and extent of practical concerns. NNs were found to increase knowledge, decrease indecision, and provide reassurance for participants. Based on the beneficial aspects of NN interaction reported in this study, the use of NNs in SDM programs should be encouraged. The results of the study demonstrate the complexity of the decision-making process when it comes to prostate cancer treatment. The factors elucidated in the study should be considered during the development and implementation of prostate cancer SDM programs.


2020 ◽  
Vol 46 (2) ◽  
Author(s):  
Mélanie Bourassa Forcier ◽  
Lara Khoury ◽  
Nathalie Vézina

This paper explores Canadian liability concerns flowing from the integration of artificial intelligence (AI) as a tool assisting physicians in their medical decision-making. It argues that the current Canadian legal framework is sufficient, in most cases, to allow developers and users of AI technology to assess each stakeholder's responsibility should the technology cause harm.


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