Effects of information, education, and communication campaign on a community-based health insurance scheme in Burkina Faso

Abstract

ObjectiveThe study analysed the effect of Information, Education, and Communication (IEC) campaign activities on the adoption of a community-based health insurance (CHI) scheme in Nouna, Burkina Faso. It also identified the factors that enhanced or limited the campaign's effectiveness.DesignComplementary data collection approaches were used. A survey was conducted with 250 randomly selected household heads, followed by in-depth interviews with 22 purposively selected community leaders, group discussions with the project management team, and field observations. Bivariate analysis and multivariate logistic regression models were used to assess the association between household exposure to campaign and acquisition of knowledge as well as household exposure to campaign and enrolment.ResultsThe IEC campaign had a positive effect on households’ knowledge about the CHI and to a lesser extent on household enrolment in the scheme. The effectiveness of the IEC strategy was mainly influenced by: (1) frequent and consistent IEC messages from multiple media channels (mass and interpersonal channels), including the radio, a mobile information van, and CHI team, and (2) community heads’ participation in the CHI scheme promotion. Education was the only significantly influential socio-demographic determinant of knowledge and enrolment among household heads. The relatively low effects of the IEC campaign on CHI enrolment are indicative of other important IEC mediating factors, which should be taken into account in future CHI campaign evaluation.ConclusionThe study concludes that an IEC campaign is crucial to improving the understanding of the CHI scheme concept, which is an enabler to enrolment, and should be integrated into scheme designs and evaluations.

<p>Willingness to Join and Pay for Community-Based Health Insurance Among Rural Households of Selected Districts of Jimma Zone, Southwest Ethiopia</p>

“…Older age household heads were more likely to join the scheme compared to younger age groups. This finding is in line with a study in Burkina Faso, 26 which revealed that older age household heads were 2.39 more likely to join the scheme. The observed similarity can be explained by the fact that susceptibility to diseases and disability rate are higher among older age groups.…”

“…The household heads who were not taking part in any indigenous community insurances or social networks were 86% less likely to join the scheme than households who had participation. This result is similar to findings from Tanzania 25 and Burkina Faso, 26 which reported that membership in any risk-sharing network was positively correlated with enrollment. The reason behind this might be that those who were not involved in any risk-sharing mechanism would not develop community solidarity and trust, and not realize the benefits if they were not exposed to it.…”

Mutual Health Organizations as Facilitators and/or Barriers Towards the Successful Implementation of Nhis in Ghana

“…It was against this backdrop that the literature showed that an information education and communication campaign was crucial to improving the understanding of the community health insurance scheme concept, which was an enabler to enrolment (Cofie et al. ).…”

« Encore un luxe ! »

“…Consommation versus assurance L'affiliation aux mécanismes d'assurance volontaire est motivée par des considérations de diverses natures. C'est pour cette raison que de nombreux auteurs s'emploient à démontrer qu'un bon niveau de compréhension ou même un avis favorable ne débouche pas nécessairement sur un enrôlement (Cofie et al, 2013 ;De Allegri, Sanon, Sauerborn, 2006). Les personnes interrogées illustrent bien cette posture en exprimant pour la plupart un point de vue positif concernant l'assurance maladie même si elles n'envisagent pas d'y prendre part pour autant.…”

“…Ainsi, divers facteurs sont perçus comme étant à l'origine de la faible adhésion de ces populations. On parle notamment des déterminants économiques et sociodémographiques (Kwasi, Duku, 2018), du niveau de compréhension de ces mécanismes (Cofie et al, 2013), de la qualité des services, du manque de confiance ou encore de l'éloignement géographique des centres de santé (Basaza, Criel, Stuyft, 2008). En ce qui concerne la CMU, qui est au centre de nos préoccupations, de récentes études menées chez des populations rurales du sud du pays justifient le faible niveau d'enrôlement des cibles par les conditions d'organisation et de fonctionnement de ce dispositif (Sagna et al, 2016), la taille des familles, l'inadéquation des soins ou encore les politiques de gratuité (Seck et al, 2017).…”