Decision Analysis in SHared decision making for Thromboprophylaxis during Pregnancy (DASH-TOP): a sequential explanatory mixed-methods pilot study.


Journal

BMJ evidence-based medicine
ISSN: 2515-4478
Titre abrégé: BMJ Evid Based Med
Pays: England
ID NLM: 101719009

Informations de publication

Date de publication:
10 2023
Historique:
accepted: 18 02 2023
medline: 25 9 2023
pubmed: 2 3 2023
entrez: 1 3 2023
Statut: ppublish

Résumé

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. Mixed-methods explanatory sequential pilot study. Hospitals in Canada (n=1) and Spain (n=4 sites). Due to the COVID-19 pandemic, we conducted part of the study virtually. 15 individuals with a prior venous thromboembolism who were pregnant or planning pregnancy and had been referred for counselling regarding LMWH. A shared decision-making intervention that included three components: (1) direct choice exercise; (2) preference elicitation exercises and (3) personalised decision analysis. 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. 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. Our results highlight the challenges and opportunities for those who wish to incorporate decision analysis to support shared decision-making for clinical decisions.

Identifiants

pubmed: 36858800
pii: bmjebm-2022-112098
doi: 10.1136/bmjebm-2022-112098
doi:

Substances chimiques

Heparin, Low-Molecular-Weight 0
Anticoagulants 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

309-319

Informations de copyright

© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: MHE has received grant funding from the NIH (NICHD and NCATS), and funding for investigator-initiated research from Bristol-Myers Squibb. RD’S has received speaking honoraria and grant funding from Ferring, and an early career grant from the Canadian Institutes for Health Research for projects unrelated to this study. NS has received honoraria and an educational grant from Sanofi. SMB has acted as a consultant for Leo Pharma Canada (manufacturer of low-molecular-weight heparin) and receives unencumbered salary support through the McMaster University Eli Lilly Canada-May Cohen Chair in Women’s Health. ML-G declares no conflict of interest. BH is currently employed by Cytel.

Auteurs

Brittany Humphries (B)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.

Montserrat León-García (M)

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 (SM)

Department of Medicine, McMaster University, Hamilton, Ontario, Canada.

Gordon Guyatt (G)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Department of Medicine, McMaster University, Hamilton, Ontario, Canada.

M H Eckman (MH)

Division of General Internal Medicine and Center for Clinical Effectiveness, University of Cincinnati, Cincinnati, Ohio, USA.

Rohan D'Souza (R)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Department of Obstetrics & Gynecology, McMaster University, Hamilton, Ontario, Canada.

Nadine Shehata (N)

Departments of Medicine, Laboratory Medicine and Pathobiology, Mount Sinai Hospital, Toronto, Ontario, Canada.

Susan M Jack (SM)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
School of Nursing, McMaster University, Hamilton, Ontario, Canada.

Pablo Alonso-Coello (P)

Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain fengxie@mcmaster.ca palonso@santpau.cat.

Feng Xie (F)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada fengxie@mcmaster.ca palonso@santpau.cat.
Centre for Health Economics and Policy Analysis, McMaster University, Hamilton, Ontario, Canada.

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Classifications MeSH