Patient participation in the medical decision-making process in haemato-oncology - a qualitative study

2013 ◽  
Vol 22 (5) ◽  
pp. 684-690 ◽  
Author(s):  
J. Ernst ◽  
S. Berger ◽  
G. Weißflog ◽  
C. Schröder ◽  
A. Körner ◽  
...  
2015 ◽  
Vol 33 (29_suppl) ◽  
pp. 41-41
Author(s):  
Eric Rackow ◽  
Afua Ofori ◽  
Wendy Rodkey ◽  
Roy A. Beveridge

41 Background: Patients with advanced illness often face painful conversations and difficult decisions. A program was deployed to help patients identify, communicate, and incorporate their personal preferences and priorities into decisions about their care. The program was assessed by measuring movement along the readiness for change continuum. Methods: Patients residing in the home and participating in a chronic care program were referred by their case managers based on clinical conditions and whether the patient appeared to be in their last 12 months of life. Counseling sessions with patients or family caregiver/s were designed to move participants toward the following actions: be fully informed about their medical situation, describe their detailed quality of life priorities, articulate a self-defined medical decision making process, effectively communicate to their family and physicians, and implement and repeat the aforementioned steps. After 5 months (Sept-2014 to Feb-2015), movement along the readiness for change continuum (pre-contemplation, contemplation, preparation, action, maintenance, and advocacy) was reported. Results: Of the 427 patients referred, 33 could not be reached, 116 were ineligible, 50 declined or did not engage. Of the 228 participants, 191 (84%) moved at least one step in readiness for change continuum over the 5-month period. In Nov-2014, 13% of participants were in action, maintenance, or advocacy, which increased to 19% by Feb-2015. The largest observed movement to action, maintenance, or advocacy was in defining quality of life priorities: 2% Nov-2014 to 21% Feb-2015. The least movement to action, maintenance, or advocacy was observed in articulating a self-defined medical decision making process: 3% Nov-2014 to 16% Feb-2015. Case managers reported discomfort in referring members based on their assessment of length of life. Early surveys show high levels of satisfaction. Conclusions: A very high percentage of patients progressed in incorporating their preferences and priorities into end of life care as measured by the readiness to change continuum. This program is currently expanding and the referral process is changing from case manager to algorithm based identification referrals.


1984 ◽  
Vol 4 (3) ◽  
pp. 571-576 ◽  
Author(s):  
Keith S. White ◽  
Alan Lindsay ◽  
T. Allan Pryor ◽  
Wayne F. Brown ◽  
Kevin Walsh

2018 ◽  
Vol 7 (2) ◽  
pp. 209-227
Author(s):  
Ellen G. Engelhardt ◽  
Arwen H. Pieterse ◽  
Anne M. Stiggelbout

Abstract If the arguments to support a recommendation are partly implicit, the free exchange of ideas between discussants can be hampered. In this paper, we will focus on the potential pitfall for clinicians when informing patients about treatment options: implicit persuasion. We will describe a set of implicitly persuasive behaviors observed during decision-making consultations, and reflect on how these behaviors could undermine efforts to stimulate patient participation in decision-making. We will also reflect on possible explanations for why clinicians exhibit such behaviors.


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.


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