Shared decision making in routine clinical care of patients with rheumatoid arthritis: an assessment of audio-recorded consultations

2019 ◽  
Vol 79 (2) ◽  
pp. 170-175 ◽  
Author(s):  
Elke G E Mathijssen ◽  
Johanna E Vriezekolk ◽  
Calin D Popa ◽  
Bart J F van den Bemt

ObjectivesAlthough shared decision making (SDM) is advocated in rheumatoid arthritis (RA) treatment, it is largely unclear when, how and to what extent SDM is applied in routine clinical care of patients with RA. This study aimed to investigate the level of SDM in RA treatment from an observer perspective and to assess associations between the level of SDM and characteristics of the clinician, patient and consultation.MethodsThe level of SDM was investigated by scoring audio-recordings of 168 routine consultations with unique patients with the observer patient involvement (OPTION) scale (scale 0–100, higher OPTION scores indicating higher levels of SDM). Associations between the level of SDM and characteristics of the clinician, patient and consultation were assessed using multilevel modelling. Statistical significance was set at p<0.05.ResultsThe mean OPTION score was 28.3 (SD=15.1). The multilevel model included four characteristics: clinician age, patient age, consultation duration and type of treatment decision. There were significant, positive associations between the level of SDM and the consultation duration (b=0.63, 95% CI 0.16 to 1.11), decision for stopping and/or starting medication (b=14.30, 95% CI 5.62 to 22.98), decision for adjusting medication doses (b=8.36, 95% CI 3.92 to 12.81) and decision for administering single dose glucocorticoids (b=15.03, 95% CI 9.12 to 20.93). Thus, a higher level of SDM was significantly associated with a longer consultation duration and the type of treatment decision. No other significant associations were found.ConclusionsOverall, the level of SDM in RA treatment leaves room for improvement. To foster SDM in routine clinical care, training programmes on patient-centred communication skills may be helpful.

2021 ◽  
pp. jrheum.201615
Author(s):  
Julie Kahler ◽  
Ginnifer Mastarone ◽  
Rachel Matsumoto ◽  
Danielle ZuZero ◽  
Jacob Dougherty ◽  
...  

Objective Treatment guidelines for rheumatoid arthritis (RA) include a patient-centered approach and shared decision making which includes a discussion of patient goals. We describe the iterative early development of a structured goal elicitation tool to facilitate goal communication for persons with RA and their clinicians. Methods Tool development occurred in three phases: 1) clinician feedback on the initial prototype during a communication training session; 2) semi-structured interviews with RA patients; and 3) community stakeholder feedback on elements of the goal elicitation tool in a group setting and electronically. Feedback was dynamically incorporated into the tool. Results Clinicians (n=15) and patients (n=10) provided feedback on the tool prototypes. Clinicians preferred a shorter tool de-emphasizing goals outside of their perceived treatment domain or available resources, highlighted the benefits of the tool to facilitate conversation but raised concern regarding current constraints of the clinic visit. Patients endorsed the utility of such a tool to support agenda setting and prepare for a visit. Clinicians, patients, and community stakeholders reported the tool was useful but identified barriers to implementation that the tool could itself resolve. Conclusion A goal elicitation tool for persons with RA and their clinicians was iteratively developed with feedback from multiple stakeholders. The tool can provide a structured way to communicate patient goals within a clinic visit and help overcome reported barriers, such as time constraints. Incorporating a structured communication tool to enhance goal communication and foster shared decision making may lead to improved outcomes and higher quality care in RA.


2018 ◽  
Vol 45 (3) ◽  
pp. 156-160 ◽  
Author(s):  
Rosalind J McDougall

Artificial intelligence (AI) is increasingly being developed for use in medicine, including for diagnosis and in treatment decision making. The use of AI in medical treatment raises many ethical issues that are yet to be explored in depth by bioethicists. In this paper, I focus specifically on the relationship between the ethical ideal of shared decision making and AI systems that generate treatment recommendations, using the example of IBM’s Watson for Oncology. I argue that use of this type of system creates both important risks and significant opportunities for promoting shared decision making. If value judgements are fixed and covert in AI systems, then we risk a shift back to more paternalistic medical care. However, if designed and used in an ethically informed way, AI could offer a potentially powerful way of supporting shared decision making. It could be used to incorporate explicit value reflection, promoting patient autonomy. In the context of medical treatment, we need value-flexible AI that can both respond to the values and treatment goals of individual patients and support clinicians to engage in shared decision making.


10.2196/16511 ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. e16511
Author(s):  
Domitilla Masi ◽  
Amalia Elvira Gomez-Rexrode ◽  
Rina Bardin ◽  
Joshua Seidman

Background The range of decisions and considerations that women with advanced breast cancer (ABC) face can be overwhelming and difficult to manage. Research shows that most patients prefer a shared decision-making (SDM) approach as it provides them with the opportunity to be actively involved in their treatment decisions. The current engagement of these patients in their clinical decisions is suboptimal. Moreover, implementing SDM into routine clinical care can be challenging as patients may not always feel adequately prepared or may not expect to be involved in the decision-making process. Objective Avalere Health developed the Preparation for Shared Decision-Making (PFSDM) tool to help patients with ABC feel prepared to communicate with their clinicians and engage in decision making aligned with their preferences. The goal of this study was to validate the tool for its acceptability and usability among this patient population. Methods We interviewed a diverse group of women with ABC (N=30). Interviews were audiorecorded, transcribed, and double coded by using NVivo. We assessed 8 themes to understand the acceptability and usability of the tool. Results Interviewees expressed that the tool was acceptable for preparing patients for decision making and would be useful for helping patients know what to expect in their care journey. Interviewees also provided useful comments to improve the tool. Conclusions This validation study confirms the acceptability and usability of the PFSDM tool for women with ABC. Future research should assess the feasibility of the tool’s implementation in the clinical workflow and its impact on patient outcomes.


2021 ◽  
pp. 0272989X2110285
Author(s):  
Karen Scherr ◽  
Rebecca K. Delaney ◽  
Peter Ubel ◽  
Valerie C. Kahn ◽  
Daniel Hamstra ◽  
...  

Background Rates of shared decision making (SDM) are relatively low in early stage prostate cancer decisions, as patients’ values are not well integrated into a preference-sensitive treatment decision. The study objectives were to develop a SDM training video, measure usability and satisfaction, and determine the effect of the intervention on preparing patients to participate in clinical appointments. Methods A randomized controlled trial was conducted to compare a plain-language decision aid (DA) to the DA plus a patient SDM training video. Patients with early stage prostate cancer completed survey measures at baseline and after reviewing the intervention materials. Survey items assessed patients’ knowledge, beliefs related to SDM, and perceived readiness/intention to participate in their upcoming clinical appointment. Results Of those randomized to the DA + SDM video group, most participants (91%) watched the video and 93% would recommend the video to others. Participants in the DA + SDM video group, compared to the DA-only group, reported an increased desire to participate in the decision (mean = 3.65 v. 3.39, P < 0.001), less decision urgency (mean = 2.82 v. 3.39, P < 0.001), and improved self-efficacy for communicating with physicians (mean = 4.69 v. 4.50, P = 0.05). These participants also reported increased intentions to seek a referral from a radiation oncologist (73% v. 51%, P = 0.004), to take notes (mean = 3.23 v. 2.86, P = 0.004), and to record their upcoming appointments (mean = 1.79 v. 1.43, P = 0.008). Conclusions A novel SDM training video was accepted by patients and changed several measures associated with SDM. This may be a scalable, cost-effective way to prepare patients with early stage prostate cancer to participate in their clinical appointments. [Box: see text]


Author(s):  
Martin H.N. Tattersall ◽  
David W. Kissane

The respect of a patient’s autonomous rights within the model of patient-centred care has led to shared decision-making, rather than more paternalistic care. Understanding patient needs, preferences, and lifestyle choices are central to developing shared treatment decisions. Patients can be prepared through the use of question prompt sheets and other decision aids. Audio-recording of informative consultations further helps. A variety of factors like the patient’s age, tumour type and stage of disease, an available range of similar treatment options, and their risk-benefit ratios will impact on the use of shared decision-making. Modifiable barriers to shared decision-making can be identified. Teaching shared decision-making includes the practice of agenda setting, use of partnership statements, clarification of patient preferences, varied approaches to explaining potential treatment benefits and risks, review of patient values and lifestyle factors, and checking patient understanding–this sequence helps both clinicians and patients to optimally reach a shared treatment decision.


Author(s):  
Amiram Gafni ◽  
Cathy Charles

Shared decision-making (SDM) between physicians and patients is often advocated as the ‘best’ approach to treatment decision-making in the clinical encounter. In this chapter we describe: (i) the key characteristics of a SDM approach; (ii) the clinical contexts for SDM; (iii) the definition and use of decision aids (DA), as well as their relationship to SDM; and (iv) the vexing problem of defining the meaning and role of values/preferences in treatment decision-making. Areas for further research and conceptual development are also suggested to help resolve outstanding issues in the above areas. Despite the widespread interest in promoting SDM, there does not seem to be as yet a universally accepted consensus on the meaning of this concept.


2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 227-227
Author(s):  
Valerie Lawhon ◽  
Rebecca England ◽  
Audrey S. Wallace ◽  
Courtney Williams ◽  
Stacey A. Ingram ◽  
...  

227 Background: Shared decision-making (SDM) occurs when both patient and provider are involved in the treatment decision-making process. SDM allows patients to understand the pros and cons of different treatments while also helping them select the one that aligns with their care goals when multiple options are available. This qualitative study sought to understand different factors that influence early-stage breast cancer (EBC) patients’ approach in selecting treatment. Methods: This cross-sectional study included women with stage I-III EBC receiving treatment at the University of Alabama at Birmingham from 2017-2018. To understand SDM preferences, patients completed the Control Preferences Scale and a short demographic questionnaire. To understand patient’s values when choosing treatment, semi-structured interviews were conducted to capture patient preferences for making treatment decisions, including surgery, radiation, or systemic treatments. Interviews were audio-recorded, transcribed, and analyzed using NVivo. Two coders analyzed transcripts using a constant comparative method to identify major themes related to decision-making preferences. Results: Amongst the 33 women, the majority of patients (52%) desired shared responsibility in treatment decisions. 52% of patients were age 75+ and 48% of patients were age 65-74, with an average age of 74 (4.2 SD). 21% of patients were African American and 79% were Caucasian. Interviews revealed 19 recurrent treatment decision-making themes, including effectiveness, disease prognosis, physician and others’ opinions, side effects, logistics, personal responsibilites, ability to accomplish daily activities or larger goals, and spirituality. EBC patient preferences varied widely in regards to treatment decision-making. Conclusions: The variety of themes identified in the analysis indicate that there is a large amount of variability to what preferences are most crucial to patients. Providers should consider individual patient needs and desires rather than using a “one size fits all” approach when making treatment decisions. Findings from this study could aid in future SDM implementations.


2014 ◽  
Vol 41 (7) ◽  
pp. 1290-1297 ◽  
Author(s):  
Jennifer L. Barton ◽  
Laura Trupin ◽  
Chris Tonner ◽  
John Imboden ◽  
Patricia Katz ◽  
...  

Objective.Treat-to-target guidelines promote shared decision making (SDM) in rheumatoid arthritis (RA). Also, because of high cost and potential toxicity of therapies, SDM is central to patient safety. Our objective was to examine patterns of perceived communication around decision making in 2 cohorts of adults with RA.Methods.Data were derived from patients enrolled in 1 of 2 longitudinal, observational cohorts [University of California, San Francisco (UCSF) RA Cohort and RA Panel Cohort]. Subjects completed a telephone interview in their preferred language that included a measure of patient-provider communication, including items about decision making. Measures of trust in physician, education, and language proficiency were also asked. Logistic regression was performed to identify correlates of suboptimal SDM communication. Analyses were performed on each sample separately.Results.Of 509 patients across 2 cohorts, 30% and 32% reported suboptimal SDM communication. Low trust in physician was independently associated with suboptimal SDM communication in both cohorts. Older age and limited English proficiency were independently associated with suboptimal SDM in the UCSF RA Cohort, as was limited health literacy in the RA Panel Cohort.Conclusion.This study of over 500 adults with RA from 2 demographically distinct cohorts found that nearly one-third of subjects report suboptimal SDM communication with their clinicians, regardless of cohort. Lower trust in physician was independently associated with suboptimal SDM communication in both cohorts, as was limited English language proficiency and older age in the UCSF RA Cohort and limited health literacy in the RA Panel Cohort. These findings underscore the need to examine the influence of SDM on health outcomes in RA.


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