Canadian journal of public health = Revue canadienne de sante publique · 2024
A multicriteria vulnerability index for equitable resource allocation in public health funding.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Abi-Zeid Irène, Bouchard Nicole, Bousquet Morgane, Cerutti Jérôme, Dupéré Sophie, Fortier Julie, Lavoie Roxane, Mauger Isabelle, Raymond Catherine, Richard Estelle, Savard Lynda
Аннотация
SETTING: This paper describes an action research project with the Centre universitaire intégré de santé et de services sociaux - Capitale Nationale (CIUSSS-CN) who identified a need to assess vulnerability in their territories in order to ensure equitable distribution of the Integrated Perinatal and Early Childhood Services (SIPPE) program funds. The objective was to design and validate a multicriteria model to provide a more accurate portrait of vulnerability based on recent social realities.
INTERVENTION: Our multidisciplinary research team of 7 members included experts in analytics, decision aiding, and community and public health. In collaboration with 6 CIUSSS-CN professionals, we co-constructed, during 9 workshops, a multicriteria model to aggregate the multiple dimensions of vulnerability. We used a value-focused thinking approach and applied the method MACBETH assisted by a geographic information system.
OUTCOMES: Criteria, scales, and weights were validated and led to a vulnerability score for each CIUSSS-CN territory. This score provides a more accurate portrait of territorial disparities based on data and the participants' experience. The model was implemented in a dynamic user-friendly tool and serves to support decision-makers in the resource allocation process. Knowledge transfer was conducted during and after the process.
IMPLICATIONS: This multidisciplinary research has served to anchor public health funding in local realities, with an emphasis on equity and stakeholder engagement. Our mixed-method approach integrating qualitative and quantitative data is adaptable to other contexts. Our results can enhance intervention effectiveness and allow for a better response to the needs of the population targeted by the SIPPE program.
INTERVENTION: Our multidisciplinary research team of 7 members included experts in analytics, decision aiding, and community and public health. In collaboration with 6 CIUSSS-CN professionals, we co-constructed, during 9 workshops, a multicriteria model to aggregate the multiple dimensions of vulnerability. We used a value-focused thinking approach and applied the method MACBETH assisted by a geographic information system.
OUTCOMES: Criteria, scales, and weights were validated and led to a vulnerability score for each CIUSSS-CN territory. This score provides a more accurate portrait of territorial disparities based on data and the participants' experience. The model was implemented in a dynamic user-friendly tool and serves to support decision-makers in the resource allocation process. Knowledge transfer was conducted during and after the process.
IMPLICATIONS: This multidisciplinary research has served to anchor public health funding in local realities, with an emphasis on equity and stakeholder engagement. Our mixed-method approach integrating qualitative and quantitative data is adaptable to other contexts. Our results can enhance intervention effectiveness and allow for a better response to the needs of the population targeted by the SIPPE program.