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Humphries B, León-García M, Bates SM, Guyatt G, Eckman MH, D'Souza R, Shehata N, Jack SM, Alonso-Coello P, Xie F. Decision Analysis in SHared decision making for Thromboprophylaxis during Pregnancy (DASH-TOP): a sequential explanatory mixed-methods pilot study. BMJ Evid Based Med 2023; 28:309-319. [PMID: 36858800 DOI: 10.1136/bmjebm-2022-112098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/18/2023] [Indexed: 03/03/2023]
Abstract
OBJECTIVES To gain insight into formal methods of integrating patient preferences and clinical evidence to inform treatment decisions, we explored patients' experience with a personalised decision analysis intervention, for prophylactic low-molecular-weight heparin (LMWH) in the antenatal period. DESIGN Mixed-methods explanatory sequential pilot study. SETTING Hospitals in Canada (n=1) and Spain (n=4 sites). Due to the COVID-19 pandemic, we conducted part of the study virtually. PARTICIPANTS 15 individuals with a prior venous thromboembolism who were pregnant or planning pregnancy and had been referred for counselling regarding LMWH. INTERVENTION A shared decision-making intervention that included three components: (1) direct choice exercise; (2) preference elicitation exercises and (3) personalised decision analysis. MAIN OUTCOME MEASURES Participants completed a self-administered questionnaire to evaluate decision quality (decisional conflict, self-efficacy and satisfaction). Semistructured interviews were then conducted to explore their experience and perceptions of the decision-making process. RESULTS Participants in the study appreciated the opportunity to use an evidence-based decision support tool that considered their personal values and preferences and reported feeling more prepared for their consultation. However, there were mixed reactions to the standard gamble and personalised treatment recommendation. Some participants could not understand how to complete the standard gamble exercises, and others highlighted the need for more informative ways of presenting results of the decision analysis. CONCLUSION Our results highlight the challenges and opportunities for those who wish to incorporate decision analysis to support shared decision-making for clinical decisions.
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Affiliation(s)
- Brittany Humphries
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Montserrat León-García
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
- Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Shannon M Bates
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Gordon Guyatt
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - M H Eckman
- Division of General Internal Medicine and Center for Clinical Effectiveness, University of Cincinnati, Cincinnati, Ohio, USA
| | - Rohan D'Souza
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Obstetrics & Gynecology, McMaster University, Hamilton, Ontario, Canada
| | - Nadine Shehata
- Departments of Medicine, Laboratory Medicine and Pathobiology, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Susan M Jack
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- School of Nursing, McMaster University, Hamilton, Ontario, Canada
| | - Pablo Alonso-Coello
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Feng Xie
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Centre for Health Economics and Policy Analysis, McMaster University, Hamilton, Ontario, Canada
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Humphries B, León-García M, Quispe ENDG, Canelo-Aybar C, Valli C, Pacheco-Barrios K, Agarwal A, Mirabi S, Eckman MH, Guyatt G, Bates SM, Xie F, Alonso-Coello P. More work needed on decision analysis for shared decision-making: A scoping review. J Clin Epidemiol 2021; 141:106-120. [PMID: 34628018 DOI: 10.1016/j.jclinepi.2021.10.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 09/21/2021] [Accepted: 10/03/2021] [Indexed: 01/21/2023]
Abstract
OBJECTIVE To explore and characterize published evidence on the ways decision analysis has been used to inform shared decision-making. STUDY DESIGN AND SETTING For this scoping review, we searched five bibliographic databases (from inception until February 2021), reference lists of included studies, trial registries, a thesis database and websites of relevant interest groups. Studies were eligible if they evaluated the application of decision analysis in a shared decision-making encounter. Pairs of reviewers independently screened and selected studies for inclusion, extracted study information using a data extraction form developed by the research team and assessed risk of bias for all studies with an experimental or quasi-experimental design. Data were narratively synthesized. RESULTS We identified 27 studies that varied greatly with regard to their patient population, design, content and delivery. A range of outcomes were evaluated to explore the effectiveness and acceptability of decision analytic interventions, with little information about the implementation process. Most studies found that decision analysis was broadly beneficial. CONCLUSION Despite the compelling rationale on the potential for decision analysis to support shared decision-making, rigorous randomized controlled trials are needed to confirm these interventions' effectiveness, while qualitative studies should seek to understand their potential implementation.
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Affiliation(s)
- Brittany Humphries
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Montserrat León-García
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Ena Niño de Guzman Quispe
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Carlos Canelo-Aybar
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Claudia Valli
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA; Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud. Lima, Peru
| | - Arnav Agarwal
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Susan Mirabi
- School of Public Health and Health Systems, University of Waterloo, Waterloo, Canada
| | - Mark H Eckman
- Division of General Internal Medicine and Center for Clinical Effectiveness, University of Cincinnati, Cincinnati, USA
| | - Gordon Guyatt
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Department of Medicine, McMaster University, Hamilton, Canada
| | - Shannon M Bates
- Department of Medicine, McMaster University, Hamilton, Canada
| | - Feng Xie
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada; Center for Health Economics and Policy Analysis, McMaster University, Hamilton, Canada.
| | - Pablo Alonso-Coello
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.
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Nelson WL, Han PKJ, Fagerlin A, Stefanek M, Ubel PA. Rethinking the objectives of decision aids: a call for conceptual clarity. Med Decis Making 2007; 27:609-18. [PMID: 17873251 DOI: 10.1177/0272989x07306780] [Citation(s) in RCA: 92] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Health decision aids are a potentially valuable adjunct to patient-physician communication and decision making. Although the overarching goal of decision aids--to help patients make informed, preference-sensitive choices--is widely accepted, experts do not agree on the means to achieve this end. In this article, the authors critically examine the theoretical basis and appropriateness of 2 widely accepted criteria used to evaluate decision aids: values clarification and reduction of decisional conflict. First, they argue that although clarifying values is central to decision making under uncertainty, it is not clear that decision aids--as they have been conceived and operationalized so far--can and should be used to achieve this goal. The pursuit of clarifying values, particularly values clarification exercises, raises a number of ethical, methodological, and conceptual issues, and the authors suggest research questions that should be addressed before values clarification is routinely endorsed. Second, the authors argue that the goal of reducing decisional conflict is conceptually untenable and propose that it be eliminated as an objective of decision aids.
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Affiliation(s)
- Wendy L Nelson
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
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