Predictors of the Level of Shared Decision Making in Vascular Surgery: A Cross Sectional Study.


Journal

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
ISSN: 1532-2165
Titre abrégé: Eur J Vasc Endovasc Surg
Pays: England
ID NLM: 9512728

Informations de publication

Date de publication:
07 2022
Historique:
received: 06 09 2021
revised: 22 04 2022
accepted: 01 05 2022
pubmed: 11 5 2022
medline: 31 8 2022
entrez: 10 5 2022
Statut: ppublish

Résumé

Although patients with vascular diseases often face multiple treatment options with different risks and benefits, the application of shared decision making (SDM) remains low. In SDM, clinicians and their patients work together to decide upon the treatment option that best fits the patient's situation and preference. This study aimed to reveal predictors of the extent to which the SDM process occurs in vascular surgery. This was a cross sectional cohort substudy of the OVIDIUS trial, a multicentre, randomised, stepped wedge trial on the effect of implementing SDM supporting tools. The data of outpatients visiting university and general hospitals and suffering from abdominal aortic aneurysms (AAAs), intermittent claudication (IC), or varicose veins (VV) were used. Consultations were audio recorded. SDM levels were scored independently by two evaluators, using the OPTION-5 instrument, on a scale from 0% (no SDM effort) to 100% (exemplary SDM effort). Possible associations between the OPTION-5 scores and patient, clinician, and consultation characteristics were investigated using multivariable linear regression analysis. Of the 342 patients included (AAA, n = 87; VV, n = 143; IC, n = 112), 60% were male and mean age was 64 years. Overall, the SDM score was relatively low; mean ± SD 33.8% ± 13.2%, mainly due to insufficient support for the patient in deliberating their options. Regression analysis showed that the mean SDM scores in consultation with patients with IC and patients with VV were -9.9 (95% confidence interval [CI] -13.2 - -6.5; p < .001) and -12.7 (95% CI -17.3 - -8.0; p < .001) points lower than in patients with AAA, respectively. Consultations by a resident in training or nurse practitioner resulted in a -8.6 (95% CI -13.1 - -4.0; p < .001) and -4.2 (95% CI -7.9 - -0.42; p = .029) point lower SDM score than by a surgeon, respectively. A consultation longer than 30 minutes resulted in a 5.8 (95% CI 1.3 - 10.3; p = .011) point higher SDM score than consultations lasting fewer than 10 minutes. In this study, it was found that SDM can still be improved, especially by helping patients understand and deliberate about their options. Spending time weighing up the options, notably with patients with IC and VV, will help improve the SDM process. Training in SDM consultations is important, particularly for junior clinicians.

Identifiants

pubmed: 35537640
pii: S1078-5884(22)00294-5
doi: 10.1016/j.ejvs.2022.05.002
pii:
doi:

Types de publication

Journal Article Multicenter Study Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

65-72

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.

Auteurs

Loes J Peters (LJ)

Department of Surgery, Amsterdam University Medical Centres location University of Amsterdam, Amsterdam, the Netherlands. Electronic address: l.j.peters@amsterdamumc.nl.

Fabienne E Stubenrouch (FE)

Department of Surgery, Amsterdam University Medical Centres location University of Amsterdam, Amsterdam, the Netherlands.

Jolijn B Thijs (JB)

Department of Surgery, Amsterdam University Medical Centres location University of Amsterdam, Amsterdam, the Netherlands.

Peter L Klemm (PL)

Department of Surgery, Gelre Ziekenhuizen, Apeldoorn, the Netherlands.

Ron Balm (R)

Department of Surgery, Amsterdam University Medical Centres location University of Amsterdam, Amsterdam, the Netherlands.

Dirk T Ubbink (DT)

Department of Surgery, Amsterdam University Medical Centres location University of Amsterdam, Amsterdam, the Netherlands.

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Classifications MeSH