Health Behavior Clinical Trial
Official title:
Promoting Influenza Vaccination In General Practice Waiting Rooms By Posters And Pamphlets: A Registry Based Cluster Randomized Controlled Trial
Most of family physicians (FPs) use advertising in their waiting rooms in order to educate
patients. Our objective was to assess an advertising campaign for influenza vaccination using
posters and pamphlets in FPs' waiting rooms.
Registry based 2/1 cluster randomized controlled trial. Clusters gathered the listed patients
over the age of 16 of 75 randomized FPs. The trial was conducted during the 2014-2015
influenza vaccination campaign. Intervention group, 25 FPs received and exposed in their
waiting rooms pamphlets and one poster promoting the influenza vaccination campaign (added to
the usual mandatory information). Control group (50 FPs), usual waiting room. The main
outcome was the number of vaccination units delivered in pharmacies. Data were first
extracted for 2013-2015 from the SIAM-ERASME claim database of the Health Insurance Fund of
Lille-Douai (Northern France). The association between the intervention and the main outcome
was assessed trough a generalized estimating equation.
Every autumn the French National Health Insurance conducts a seasonal influenza immunization
campaign. Since 2009, in France like in many other countries, the seasonal influenza
immunization uptake has been decreasing in people over 65 years of age and in people with
diverse target chronic diseases or pregnancy. It has remained far under the national and
European objective of 75%. For this reason, public advertising has been intensified (TV,
newspapers and magazines) and the involvement of health professionals was stimulated,
particularly by means of encounters with Health Insurance delegates, and posters and
pamphlets to be exposed in FPs' waiting rooms. We conducted a preliminary systematic review
(in press) to seek for publications assessing the effect of audio-visual aids in primary
health waiting rooms. It appears that most articles about this topic have a low level of
evidence and that the effect on patient health behaviour has only been assessed on surrogate
outcomes. The existence of an effect on behaviour change is controversial, and if any, it is
small sized, needing more than 10,000 subjects to be demonstrated.
Our aim is to evaluate the effect of the advertising campaign using posters and pamphlets in
FPs' waiting rooms on patients behaviour measuring the number of influenza vaccination units
delivered in community pharmacies.
We designed a single blinded 2/1 registry based cluster randomized controlled trial.
The outcome is the number of seasonal influenza vaccination sets released in community
pharmacies. The target population are patients over the age of 65 or having a chronic disease
requiring seasonal influenza immunization (like chronic obstructive pulmonary disease (COPD)
or diabetes). Patients are informed about the anonymous use of their data and can refuse to
participate at any time.
A cluster is defined as the patients over the age of 16, who are registered by the Health
Insurance on the participating FPs' patients' lists. A computerized random draw is used to
allocate FPs in each group. In the intervention group, FPs will receive and expose in their
waiting rooms 135 pamphlets and one poster (added to the usual mandatory information)
withdrawing all the other posters. In the control group, waiting rooms are kept in their
usual state. To evaluate the number of FPs needed for the trial, we set an interclass
correlation coefficient of 0.02, for α = 5% and β = 20%. With a predicted rate of influenza
vaccination delivery of 0.65 in the intervention group and 0.60 in the control group, and a
target size by FP of 400 patients, 75 FPs have to be enrolled (50 in the control group and 25
in the intervention group).
Baseline is defined as the 2013-2014 vaccination campaign. Data are extracted between October
15, 2014 and February 28, 2015 from the SIAM-ERASME claim database of the Lille-Douai
district Health Insurance Fund on patient level. To assess the association between the
vaccination status (dependent variable) and the group intervention/control, because of the
hierarchical structure of the data and the high incidence rate of the main outcome, we will
use a generalized estimating equation (GEE) Poisson regression clustering by GP; an
exchangeable working correlation matrix will be used. The analysis will be carried out using
R software (version 3.3.1) and the package Geepack.
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