6533b7ddfe1ef96bd1273657
RESEARCH PRODUCT
Funnel plots and choropleth maps in cancer risk communication: a comparison of tools for disseminating population-based incidence data to stakeholders
Walter MazzuccoMaurizio ZarconeS MazzolaRosanna CusimanoVitale Francescosubject
Funnel plot1684media_common.quotation_subjecteducationPopulation050109 social psychologyContext (language use)Settore MED/42 - Igiene Generale E ApplicataStandardized Incidence RatioLiteracy03 medical and health sciences0302 clinical medicineFunnel plotNumeracyNeoplasmsEpidemiology of cancer1724Humanscancer registryMedicine0501 psychology and cognitive sciences1506030212 general & internal medicineFunnel plot; Standardized Incidence Ratio; cancer data dissemination; cancer epidemiology; cancer registry;; Medicine (all)Choropleth mapeducationmedia_commoneducation.field_of_studyInformation Disseminationbusiness.industryResearchCommunicationIncidenceMedicine (all)05 social sciencescancer registry;General Medicinecancer data dissemination1692Cancer registryItalyData Interpretation StatisticalPublic Health1717businessCartographycancer epidemiologydescription
Background Population-based cancer registries provide epidemiological cancer information, but the indicators are often too complex to be interpreted by local authorities and communities, due to numeracy and literacy limitations. The aim of this paper is to compare the commonly used visual formats to funnel plots to enable local public health authorities and communities to access valid and understandable cancer incidence data obtained at the municipal level. Methods A funnel plot representation of standardised incidence ratio (SIR) was generated for the 82 municipalities of the Palermo Province with the 2003–2011 data from the Palermo Province Cancer Registry (Sicily, Italy). The properties of the funnel plot and choropleth map methodologies were compared within the context of disseminating epidemiological data to stakeholders. Results The SIRs of all the municipalities remained within the control limits, except for Palermo city area (SIR=1.12), which was sited outside the upper control limit line of 99.8%. The Palermo Province SIRs funnel plot representation was congruent with the choropleth map generated from the same data, but the former resulted more informative as shown by the comparisons of the weaknesses and strengths of the 2 visual formats. Conclusions Funnel plot should be used as a complementary valuable tool to communicate epidemiological data of cancer registries to communities and local authorities, visually conveying an efficient and simple way to interpret cancer incidence data.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-03-01 | BMJ Open |