scholarly journals Treatment decision-making in diffuse cutaneous systemic sclerosis: a patient’s perspective

Rheumatology ◽  
2019 ◽  
Vol 59 (8) ◽  
pp. 2052-2061 ◽  
Author(s):  
Julia Spierings ◽  
Femke C C van Rhijn-Brouwer ◽  
Carolijn J M de Bresser ◽  
Petra T M Mosterman ◽  
Arwen H Pieterse ◽  
...  

Abstract Objectives To examine the treatment decision-making process of patients with dcSSc in the context of haematopoietic stem cell transplantation (HSCT). Methods A qualitative semi-structured interview study was done in patients before or after HSCT, or patients who chose another treatment than HSCT. Thematic analysis was used. Shared decision-making (SDM) was assessed with the 9-item Shared Decision Making Questionnaire (SDM-Q-9). Results Twenty-five patients [16 male/nine female, median age 47 (range 27–68) years] were interviewed: five pre-HSCT, 16 post-HSCT and four following other treatment. Whereas the SDM-Q-9 showed the decision-making process was perceived as shared [median score 81/100 (range 49–100)], we learned from the interviews that the decision was predominantly made by the rheumatologist, and patients were often steered towards a treatment option. Strong guidance of the rheumatologist was appreciated because of a lack of accessible, reliable and SSc-specific information, due to the approach of the decision-making process of the rheumatologist, the large consequence of the decision and the trust in their doctor. Expectations of outcomes and risks also differed between patients. Furthermore, more than half of patients felt they had no choice but to go for HSCT, due to rapid deterioration of health and the perception of HSCT as ‘the holy grail’. Conclusion This is the first study that provides insight into the decision-making process in dcSSc. This process is negatively impacted by a lack of disease-specific education about treatment options. Additionally, we recommend exploring patients’ preferences and understanding of the illness to optimally guide decision-making and to provide tailor-made information.

2016 ◽  
Vol 34 (26_suppl) ◽  
pp. 34-34
Author(s):  
Deborah Ejem ◽  
J Nicholas Dionne-Odom ◽  
Danny Willis ◽  
Peter Kaufman ◽  
Laura Urquhart ◽  
...  

34 Background: Women with metastatic breast cancer (MBC) face numerous treatment and ACP decisions along their illness trajectory. We aimed to explore the treatment and ACP decision-making processes and decision support needs of women with MBC. Methods: Convergent, parallel mixed methods study (9/08-7/09). Sample included women with MBC managed by 3 breast oncologists at the Norris Cotton Cancer Center, Lebanon, NH. Participants completed a semi-structured interview and standardized decision-making instruments (decision control preferences) at study enrollment (T1; n = 22) and when they faced a decision point or 3 months later (T2; n = 19), whichever came first. Results: Participants (n = 22) where all white, averaged 62 years and were mostly married (54%), retired (45%), had a ≥ bachelor’s degree (45%), and had incomes > $40,000 (50%). On the control preferences scale, most women reported a preference for a ‘shared decision’ with clinician (T1 = 14 (64%) vs T2 = 9 (47%)) compared to making the decision themselves (T1 = 6 (27%) vs T2 = 6 (32%)), or delegating the decision to their doctor (T1 = 2 (9%) vs T2 = 4 (21%)). In semi-structured interviews about their actual treatment decision-making experience, women described experiencing a passive or delegated rather than a shared decision-making process. Conversely, women described a much more active ACP decision-making process that was often shared with family rather than their oncologists. Conclusions: Women selected a “shared” process using a validated tool; however their descriptions of the treatment decision-making processes were inconsistent with their actual experience, which was a more passive process in which they followed the oncologists’ treatment suggestions.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2137-2137
Author(s):  
Anita J Kumar ◽  
Rachel Murphy-Banks ◽  
Ruth Ann Weidner ◽  
Susan K Parsons

Introduction The treatment landscape of Hodgkin Lymphoma (HL) has undergone a revolution in recent years, providing multiple options for providers and patients in their shared goal for disease control. However, these successful treatment options (e.g. multi-agent chemotherapy, radiotherapy, or combined modality) come at a high cost in the form of late effects, with little known about long-term toxicity of novel agents (e.g., Brentuximab vedotin, immunotherapy). As part of an international effort to develop tools to enhance treatment decision-making for providers and patients, we developed a survey to learn about what role HL survivors played in their initial treatment decision(s) as well as to understand survivors' knowledge and experience of late effects. Methods The survey titled Understanding of Decision-Making among HL Survivors included three themes: 1) initial treatment plan; 2) role in decision-making about the plan and factors important to the treatment selection; and 3) understanding of late effects. The survey was initially piloted at a cancer conference in Spring 2019 after which modest revisions were made to improve clarity. The revised survey was then distributed nationally in a single push through the Leukemia & Lymphoma Society's voluntary email listserv (Summer 2019). Responses were captured in the HIPAA complaint, web-based application, REDCap®, and then analyzed with descriptive statistics. Results A total of 129 HL survivors responded to the survey. The majority of respondents (n=98, 76%) identified as female. While nearly half (46%) were between 1-5 years from treatment, 27% were <1 year off therapy or still in treatment, and 27% were treated > 5 years ago. Age distribution at diagnosis ranged from <18 years (n=3, 2%), 18-25 years (n=35, 27%), and >26 years (n=91, 71%). Two-thirds (n=83, 64%) of patients were treated with chemotherapy alone. Overall, 90% of survivors reported receiving ABVD or a close variant (e.g., AVD). The majority of survivors (n=88, 68%) reported only receiving one treatment option by their oncologist. Half (n=69, 54%) engaged in shared decision-making with their physician, with or without family/friends, 24% (n=31) deferred to their physician, 20% (n=26) decided on their own or with family/friend, and 2% (n=3) followed the plan determined by their physician and family on their behalf. Most respondents were treated in the community (n=77, 60%) with an additional 34% (n=44) reporting having been treated at an academic medical center. For 8 respondents (6%) the treatment site was categorized as other. Survivors were asked to rate the importance of factors in their initial treatment decision-making on a 3-point scale. Results were then dichotomized to important or not important. Health systems factors (e.g., cost, distance) were deemed less important, while patient-level factors (e.g., side effects, late effects) were widely endorsed (Table 1). The majority of survivors (n=107, 83%) were aware they are/may be at risk for late effects. Seventy percent (n=68 of 97) had been told at the time of discussion of treatment option(s) with their oncologist. The remainder (n=29 of 97, 30%) learned after completion of treatment or when transitioning care from their treating oncologist to survivorship or primary care. One third of respondents (n=46, 36%) reported they have been diagnosed with a late effect, which included substantial late effects of secondary malignancy (n=5, 11%) and cardiac toxicity (n=4, 9%). Discussion We report the results of a recent national survey of HL survivors, represented by an activated cohort that elects to participate in cancer advocacy groups. While two-thirds of respondents had little choice in initial treatment options, the majority endorsed the importance of side effects and late effects in treatment selection. Only half of survivors engaged in shared decision-making with their physician, indicating ample room for improvement and the development of tools to facilitate this process. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Vol 37 (31_suppl) ◽  
pp. 34-34
Author(s):  
Toby Christopher Campbell ◽  
Erin Kennedy ◽  
Selina Schmocker

34 Background: Cancer treatment decision making involves timely, high-risk, shared decision-making conversations between patients, their families, and their oncologists. These conversations are a prime target for a carefully designed, easy to interpret approach to facilitate preference-sensitive decision-making. The TrialTALK approach has two core elements: a verbal approach and a pen & paper diagram. The diagram includes the diagnosis with prognostic implications, available treatment options along with estimates for efficacy and anticipated impact on daily life. The verbal conversation corresponds to the diagram and includes a phrase to encourage deliberation and empathic responses. Here, we report the results of a focus group conducted in Toronto comparing two approaches to a cancer decision making conversation. Methods: Our focus group was comprised of 9 patients, all with incurable malignancy. They observed a live reading of an actual transcript of a cancer treatment decision making conversation between a patient and oncologist who presented three options: observation, chemotherapy, and a clinical trial. The investigators re-organized the conversation, reusing as many words as possible, into the TrialTALK framework. No new information was introduced. After watching each scene, participants discussed and rated the conversation for information needs and indicated the decision. Results: Three (33%) said rated the standard conversation as meeting their informational needs while 7/9 (78%) reported needs were met by the designed approach. Decision making preferences following the conversations are shown in the table. Patients reported feeling the physician in the designed conversation was more prepared; they felt greater trust and confidence; they valued the paper diagram; they felt more empowered and engaged in the decision. Conclusions: A designed conversation may improve patient understanding, influence decision making, while also enhancing the patient-physician relationship. Clinical trial information: NCT03656276. [Table: see text]


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2119-2119 ◽  
Author(s):  
Thomas W. LeBlanc ◽  
Laura J Fish ◽  
Catherine T Bloom ◽  
Areej El-Jawahri ◽  
Debra M Davis ◽  
...  

Abstract Background: Many patients with AML lack prognostic understanding, which may limit their ability to participate in shared decision-making about treatments. The underlying drivers of this misunderstanding are not well understood, so we sought to characterize the experience of being diagnosed with AML, receiving information, and making a treatment decision. We expected to discover areas for improvement in clinical practice. Methods: We developed a semi-structured qualitative interview guide to explore patients' experiences at diagnosis, satisfaction with clinical communication, factors related to prognostic understanding, and the treatment decision-making process. We enrolled 33 hospitalized patients with AML within 7 days of starting a new treatment regimen, and interviewed only those with high-risk AML due to either age >59, relapsed/refractory disease, or complex cytogenetics. We audio recorded interviews and transcribed them for qualitative analysis. Using cycles of open and axial coding, we developed a codebook that was sequentially applied to all transcripts. Further refinement of codes and development of themes occurred via group discussion. Results: Four themes emerged from this analysis, relating to: (1) uncertainty, (2) suddenness, (3) difficulty processing information, and (4) need for better communication. Patients frequently described uncertainty related to their prognosis, the number and nature of available treatments, and even the definition of the term "prognosis." In some cases this uncertainty was a source of hope, leaving open the possibility of a positive outcome. In other cases this uncertainty was crippling and frustrating. In terms of suddenness of the AML diagnosis, many patients described it as "overwhelming," "devastating," and "blindsiding," making them unable to process information and make a treatment decision. Many had not anticipated this severe change in health status. Compounding the suddenness for several patients was the need to travel far from home to be treated at a tertiary center. Many patients found processing the complex information about their diagnosis and treatment options too difficult, which negatively impacted their understanding of available treatments. It was common for patients to dichotomize options into either "do or die," when there were actually several available options of varying intensity and risk. Thus, patients perceived a lack of treatment choices and frequently exhibited negative coping behaviors, such as cognitive distancing and denial. In terms of communication, most described their physicians as providing adequate information, yet sometimes described a mismatch between their needs and the type of information physicians provided. In the cases of mismatch, patients were less satisfied. Receiving bad news from a doctor they did not know stood out as a difficult and negative experience for many patients, and several described poor communication around the time of diagnosis. Conclusions: Patients with AML face a unique, difficult situation characterized by sudden changes in health and pressure to make quick treatment decisions. This results in difficulty processing information, and is sometimes complicated by a mismatch between patients' informational preferences and clinicians' communication styles. This scenario appears to compound the difficulty of processing complex information, and probably impairs patients' abilities to make a truly informed decision. The recommended model of shared decision-making may be of limited utility in the AML setting. Targeted interventions are needed to improve AML patients' understanding of their illness and treatment options, and their experiences with diagnosis and treatment decision-making. Disclosures LeBlanc: Helsinn Therapeutics: Honoraria, Research Funding; Epi-Q: Consultancy; Boehringer Ingelheim: Membership on an entity's Board of Directors or advisory committees; Flatiron: Consultancy.


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.


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.


2016 ◽  
Vol 34 (26_suppl) ◽  
pp. 6-6
Author(s):  
Jhosselini Cardenas Mori

6 Background: We aim to explore medical information-sharing and decision-making preferences of Hispanic patients in the Bronx. Methods: We are recruiting cancer patients who self-identify as Hispanic and are waiting at the oncology clinic at Montefiore Medical Center Cancer Center before an appointment. Results: To date we have interviewed 110 patients. The majority (60, 52.6%) preferred shared decision-making with their doctors, families or both, while 45 (39.5%) had an active decision-making style. A minority (9, 7.9%) had a passive decision-making style, deferring to their families and only 1 (0.9%) had a passive decision-making style deferring to the physician. The only demographic characteristic that was associated with decision-making preference was language; those who are English-speaking were more likely to endorse an active decision-making style (Chi2 = 7.06, p = 0.029) and less likely to endorse shared decision-making (Chi2 = 6.33, p = 0.042). The majority of patients agreed or strongly agreed that they wanted to hear all of the information regarding their diagnosis, treatment options, treatment expectation and treatment risks and benefits. Conclusions: These results confirm our hypothesis that most Hispanic patients prefer either an active or shared decision-making process rather than a passive decision-making process. Most patients prefer disclosure of diagnosis, prognosis and plan.


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.


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