Applying the Fuzzy Delphi Method for determining socio-ecological factors that influence adherence to mammography screening in rural areas of Mexico

Abstract

In Mexico, regular participation in mammography screening is low, despite higher survival rates. The objective of our research is to highlight healthcare procedures to be optimized and target areas to encourage investment and to raise awareness about the benefits of early diagnosis. Those socio-ecological factors (community, interpersonal and individual) were collected through a review of literature and based on the spatial interaction model of mammography use developed by Mobley et al. The opinion of diverse groups of experts on the importance of those factors was collected by survey. The Fuzzy Delphi Method helped to solve the inherent uncertainty of the survey process. Our findings suggest that population health behaviors, proximity-density to facilities/ physicians and predisposing factors are needed to increase the screening rate. Variations in expert group size could affect the accuracy of the conclusions. However, the application of the enhanced aggregation method provided a group consensus that is less susceptible to misinterpretation and that weighs the opinion of each expert according to their clinical experience in mammography research.