Decision Making in Multiple Sclerosis Care Under Uncertainty
1 other identifier
interventional
450
1 country
1
Brief Summary
The main objectives of this study are: i) To determine patient-level, physician-level and health system factors influencing therapeutic decisions in multiple sclerosis (MS) care by applying conjoint discrete experiments. ii) To determine the prevalence of therapeutic inertia among participating neurologists. iii) To compare clinical judgement vs. a qualitative or quantitative approach when assessing for a given case-scenario. iv) To evaluate the influence of decision fatigue in treatment decisions.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable multiple-sclerosis
Started Jul 2019
Typical duration for not_applicable multiple-sclerosis
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 25, 2019
CompletedStudy Start
First participant enrolled
July 6, 2019
CompletedFirst Posted
Study publicly available on registry
July 29, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 21, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 22, 2021
CompletedJuly 29, 2019
July 1, 2019
2 years
March 25, 2019
July 24, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Therapeutic inertia score
The therapeutic inertia (TI) score is based on our previous work published elsewhere (see references). It is based on the sum number of case-scenarios that required treatment escalation over the total number of presented scenarios (10). Range: 0 (lowest value) to 10 (maximal value). The higher value represents the higher level of therapeutic inertia. There is no subscale. This measurement has been previously reported (Saposnik et al. JAMA Netw Open. 2019 Jul 3;2(7):e197093. doi: 10.1001/jamanetworkopen.2019.7093; Saposnik et al. MDM Policy Pract. 2019 Jun 21;4(1):2381468319855642. doi: 10.1177/2381468319855642)
At the completion of the study, an estimated 90 minutes
Accuracy of treatment decisions
Comparison of discordant pairs in each arm: Using chi-square (parametric) test, there will be a comparison between groups (intervention vs. control) in the proportion of participants who made accurate therapeutic decisions.
At the completion of the study, an estimated 90 minutes
Secondary Outcomes (3)
Therapeutic decisions under fatigue
At the completion of the study, an estimated 90 minutes
Prevalence of therapeutic inertia (TI)
At the completion of the study, an estimated 90 minutes
Factors associated with therapeutic decisions
At the completion of the study, an estimated 90 minutes
Study Arms (2)
Quantitative risk estimation
EXPERIMENTALParticipants will be exposed to case-scenarios. Each case scenario provides a description of the current clinical situation (e.g. patient age, current treatment, number of relapses, current EDSS, MRI findings, etc). In addition, participants will see a squared box indicating the probability of risk progression (20%, 25%, 85%, 90%). This information may or may not be accurate to reflect potential errors of risk prediction tools.
Qualitative risk estimation
ACTIVE COMPARATORParticipants will be exposed to the same case-scenarios as the intervention arm. Each case scenario provides a description of the current clinical situation (e.g. patient age, current treatment, number of relapses, current EDSS, MRI findings, etc). In addition, participants will see a squared box indicating a qualitative probability of risk progression (low, high). This information may or may not be accurate to reflect potential errors of risk prediction tools.
Interventions
Participants will be able to see a square box that represent the estimated risk of disease progression. They will have to elect making a therapeutic decision based on the description of the case-scenario or based on the estimated prediction as represented in the square box.
Eligibility Criteria
You may qualify if:
- Actively practicing neurologist
- Expertise in treating patients with multiple sclerosis (at least 12 per year)
- Clinical setting: academic or community institutions, private practice or outpatient clinic
- Certified physicians in their specialty
- Online consent to participate in the study
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Unity Health Torontolead
- Hoffmann-La Rochecollaborator
- University of Torontocollaborator
Study Sites (1)
St. Michael's Hospital
Toronto, Ontario, M5B 1X2, Canada
Related Publications (1)
Saposnik G, Sempere AP, Prefasi D, Selchen D, Ruff CC, Maurino J, Tobler PN. Decision-making in Multiple Sclerosis: The Role of Aversion to Ambiguity for Therapeutic Inertia among Neurologists (DIScUTIR MS). Front Neurol. 2017 Mar 1;8:65. doi: 10.3389/fneur.2017.00065. eCollection 2017.
PMID: 28298899RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Gustavo Saposnik, MD, MSc
Unity Health Toronto
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, INVESTIGATOR
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 25, 2019
First Posted
July 29, 2019
Study Start
July 6, 2019
Primary Completion
July 21, 2021
Study Completion
December 22, 2021
Last Updated
July 29, 2019
Record last verified: 2019-07
Data Sharing
- IPD Sharing
- Will not share