Stroke Clinical Trial
Official title:
RCT Concerning the Intention to Prescribe/Take Oral Anticoagulants for Atrial Fibrillation Depending on the Number of Risk Diagrams (w Treatment +/- w/Out Treatment), and Number of Years (1 or 5) for the Estimation of the Risk of Stroke.
Randomized study concerning the effect of the number of risk diagrams (with treatment +/- without treatment), the period of stroke risk estimation (one year or five years) and the target of prescription (the patient with atrial fibrillation or the physician himself, imagining she/he has atrial fibrillation) on the intention to prescribe or not oral anticoagulation.
Objectives:
To answer the questions:
1. Concerning the decision to prescribe (take) treatment on the basis of a decision aid,
are there necessary both diagrams (that with risk without treatment, and that with risk
under treatment), or it is enough only the second (risk under treatment, which normally
gives all the needed information)?
2. Concerning the decision to prescribe (take) treatment, is it a difference between the
effects of the presentation on decision aid of the risk of stroke for the next 1 year,
and the presentation of the estimated risk of stroke for the next 5 years?
3. Is the decision different if physicians prescribe the anticoagulant treatment to
patients, over if they should take it themselves?
Study: 2x3 factorial randomized controlled trial (RCT) for comparison:
1. Between the decision aid with 2 images (without treatment + with treatment) and the one
with 1 image (risk only with treatment)
2. Between the effect of the presentation of the stroke risk chart for 1 year and the
stroke risk chart for 5 years.
3. The decision to prescribe to patients over the decision to take the treatment
themselves.
The comparison will be made for the spectrum of risks (scores CHA2DS2-VASC) from 1-5.
Sample size: was calculated a sample of 948 participants (474 + 474) for p = 0.05, power =
80% statistical difference between decisions of 5% (from 95% to 90%). The study does not
have enough power neither to compare the 5 groups CHA2DS2-VASC (but we will make these
comparisons with exploratory purpose), nor to test interactions.
Participants: physicians participating to the National Congress of Internal Medicine,
physicians participating to courses, professional manifestations.
Randomization: randomization will be done on graph type (1 or 2 pictures), duration of risk
estimate (1 year and 5 years) and the size of CHA2DS2-VASC risk score (1 to 5), and target
prescription (patient or the doctor himself), a total of 40 possibilities. Randomization
will be done in blocks of 40.
Participants will be asked to decide, depending on the risk chart, if the patient (or
himself) will be treated, ignoring the risk of bleeding.
The chart will contain the pictogram according to the CHA2DS2-VASC risk score, without
communicating the actual score, and the physician will have to make the decision to treat or
not, depending on the perceived risk, and not on treatment guidelines.
No. questionnaire: first digit = number of risk diagrams (1 or 2); second digit = number of
years for which the risk of stroke is calculated (1 or 5); third digit = CHA2DS2-VASC score
(1-5). Ex: 253: 2 decision aid diagrams (with and without treatment), with an estimated risk
of stroke for the next five years, in a patient with CHA2DS2-VASC score =3.
Effect (outcome): decision to treat / not to treat the patient / physician himself, with
oral anticoagulants.
Statistical analysis: It will look for differences in bivariate analysis, and multivariate =
logistic regression (dependent variable = treatment decision, the independent variables =
number of charts, period for risk assessment (one or 5 years), prescription target (patient
or the physician himself), CHA2DS2-VASC score, time from graduation, medical/teaching grade,
working in hospital / ambulatory, the size of the city the physician works in, specialty,
gender, age, if the physician has/had someone close with stroke (data from questionnaires).
;
Allocation: Randomized, Intervention Model: Factorial Assignment, Masking: Open Label
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