Modelling agency in HIV treatment decision-making

2005 ◽  
Vol 19 ◽  
pp. 103-122 ◽  
Author(s):  
Alison Rotha Moore

In applying linguistics to the task of analysing how agentivity is construed through verbal interaction, scholars often equate social agency with grammatical agency, and in particular with the grammar of transitivity. The difficulty I want to address in this paper is that we may miss other important, systematic and contrastive patterning in the agentivity with which social actors and other entities are depicted, because such agentivity is realized through a range of dispersed linguistic resources. Systemic Functional Linguistics can provide a useful framework for co-ordinating the contribution of these resources to the overall construal of agency in a text or set of texts. It does this best when it focusses on bringing out the particular stratal alignments that characterise different contexts. The paper draws on a study of treatment decision-making in HIV medicine as an example of a social context where choices in the construal of agency make a crucial difference to choices of professional and institutional practice. In this study the construal of agency was taken as a chief source of evidence about whether doctors and patients engage in shared decision-making, and it was also seen as a strategy which doctors and patients can use to open up or close down opportunities for shared decision-making. A key finding was that doctors and patients in HIV medicine often construe the agency of one participant as a resource for the agency of another, rather than construing the agency of one participant • as competing with the agency of the other. In particular, it is where doctors and patients construe each other as semiotic agents that shared decisionmaking seems most likely to occur.

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):  
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.


2021 ◽  
Author(s):  
Hanna Bomhof-Roordink ◽  
Anne M. Stiggelbout ◽  
Fania R. Gärtner ◽  
Johanneke E.A. Portielje ◽  
Cor D. de Kroon ◽  
...  

AbstractObjectivesWe have developed two questionnaires to assess the shared decision making (SDM) process in oncology; the iSHAREpatient and iSHAREphysician. In this study, we aimed to determine: scores, construct validity, test-retest agreement (iSHAREpatient), and inter-rater (iSHAREpatient-iSHAREphysician) agreement.MethodsPhysicians from seven Dutch hospitals recruited cancer patients, and completed the iSHAREphysician and SDM-Questionnaire–physician version. Their patients completed the: iSHAREpatient, 9-item SDM-Questionnaire, Decisional Conflict Scale, Combined Outcome Measure for Risk communication And treatment Decision making Effectiveness, and Perceived Efficacy in Patient-Physician Interactions. We formulated, respectively, one (iSHAREphysician) and 10 (iSHAREpatient) a priori hypotheses regarding correlations between the iSHARE questionnaires and questionnaires assessing related constructs. To assess test-retest agreement patients completed the iSHAREpatient again 1-2 weeks later.ResultsIn total, 151 treatment decision making processes with unique patients were rated. Dimension and total iSHARE scores were high both in patients and physicians. The hypothesis on the iSHAREphysician and 9/10 hypotheses on the iSHAREpatient were confirmed. Test-retest and inter-rater agreement were >.60 for most items.ConclusionsThe iSHARE questionnaires show high scores, have good construct validity, substantial test-retest agreement, and moderate inter-rater agreement.Practice implicationsResults from the iSHARE questionnaires can inform both physician- and patient-directed efforts to improve SDM in clinical practice.


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.


2016 ◽  
Vol 209 (1) ◽  
pp. 23-28 ◽  
Author(s):  
Diana Stovell ◽  
Anthony P. Morrison ◽  
Margarita Panayiotou ◽  
Paul Hutton

BackgroundIn the UK almost 60% of people with a diagnosis of schizophrenia who use mental health services say they are not involved in decisions about their treatment. Guidelines and policy documents recommend that shared decision-making should be implemented, yet whether it leads to greater treatment-related empowerment for this group has not been systematically assessed.AimsTo examine the effects of shared decision-making on indices of treatment-related empowerment of people with psychosis.MethodWe conducted a systematic review and meta-analysis of randomised controlled trials (RCTs) of shared decision-making concerning current or future treatment for psychosis (PROSPERO registration CRD42013006161). Primary outcomes were indices of treatment-related empowerment and objective coercion (compulsory treatment). Secondary outcomes were treatment decision-making ability and the quality of the therapeutic relationship.ResultsWe identified 11 RCTs. Small beneficial effects of increased shared decision-making were found on indices of treatment-related empowerment (6 RCTs;g= 0.30, 95% CI 0.09–0.51), although the effect was smaller if trials with >25% missing data were excluded. There was a trend towards shared decision-making for future care leading to reduced use of compulsory treatment over 15–18 months (3 RCTs; RR = 0.59, 95% CI 0.35–1.02), with a number needed to treat of approximately 10 (95% CI 5–∞). No clear effect on treatment decision-making ability (3 RCTs) or the quality of the therapeutic relationship (8 RCTs) was found, but data were heterogeneous.ConclusionsFor people with psychosis the implementation of shared treatment decision-making appears to have small beneficial effects on indices of treatment-related empowerment, but more direct evidence is required.


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.


2017 ◽  
Vol 19 (6) ◽  
pp. 303-312 ◽  
Author(s):  
Stacey S. Cofield ◽  
Nina Thomas ◽  
Tuula Tyry ◽  
Robert J. Fox ◽  
Amber Salter

Background: Treatment decisions in multiple sclerosis (MS) are affected by many factors and are made by the patient, doctor, or both. With new disease-modifying therapies (DMTs) emerging, the complexity surrounding treatment decisions is increasing, further emphasizing the importance of understanding decision-making preferences. Methods: North American Research Committee on Multiple Sclerosis (NARCOMS) Registry participants completed the Fall 2014 Update survey, which included the Control Preferences Scale (CPS). The CPS consists of five images showing different patient/doctor roles in treatment decision making. The images were collapsed to three categories: patient-centered, shared, and physician-centered decision-making preferences. Associations between decision-making preferences and demographic and clinical factors were evaluated using multivariable logistic regression. Results: Of 7009 participants, 79.3% were women and 93.5% were white (mean [SD] age, 57.6 [10.3] years); 56.7% reported a history of relapses. Patient-centered decision making was most commonly preferred by participants (47.9%), followed by shared decision making (SDM; 42.8%). SDM preference was higher for women and those taking DMTs and increased with age and disease duration (all P &lt; .05). Patient-centered decisions were most common for respondents not taking a DMT at the time of the survey and were preferred by those who had no DMT history compared with those who had previously taken a DMT (P &lt; .0001). There was no difference in SDM preference by current MS disease course after adjusting for other disease-related factors. Conclusions: Responders reported most commonly considering their doctor's opinion before making a treatment decision and making decisions jointly with their doctor. DMT use, gender, and age were associated with decision-making preference.


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.


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