ArticleHealth promotion practice2023
Intersectionality Policymaking Toolkit: Key Principles for an Intersectionality-Informed Policymaking Process to Serve Diverse Women, Children, and Families.
Article in Health promotion practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- An Equity-Focused Systematic Analysis of Antimicrobial Resistance National Action Plans in 14 West African Countries.Tropical medicine & international health : TM & IH · 2025Article
- Leveraging U = U in Interventions for Black Women Living With HIV: A Scoping Review and Call To Action.AIDS and behavior · 2025Review
- Racial and Socioeconomic Disparities in Preconception Health Risk Factors and Access to Care.Journal of women's health (2002) · 2024Article
- Racial and ethnic disparities in the co-occurrence of intellectual disability and autism: Impact of incorporating measures of adaptive functioning.Autism research : official journal of the International Society for Autism Research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Health and economic inequities among U.S. racial/ethnic minority women and children are staggering. These inequities underscore a dire need for intersectionality-informed, social-justice-oriented maternal and child (MCH) policies and programs for U.S. women and children. In response, we developed the "Intersectionality Policymaking Toolkit: Key Principles for an Intersectionality Informed Policymaking Process to Serve Diverse Women, Children and Families" to assist U.S. policymakers/aides, practitioners, and other stakeholders in developing more equitable MCH policies/programs. This article describes the Toolkit development process and initial assessments of acceptability and feasibility for use in MCH policymaking. Between 2018 and 2021, we utilized the process that the World Health Organization (WHO) used to develop its WHO Surgical Safety Checklist to develop the content (e.g., case studies) and format (i.e., structure), make strategic decisions (e.g., core items, primary audiences, timing of utilization), test concepts, and receive feedback. We convened a 2-day planning meeting with experts (n = 8) in intersectionality, policymaking, and MCH to draft the Toolkit. Next, we convened half-day workshops with policymaking and program leadership and staff in Washington, DC, New Orleans, LA, and Santa Fe, NM, to refine the Toolkit (n = 37). Then we conducted an initial assessment of the Toolkits' acceptability and feasibility using surveys (n = 21), followed by focus groups (n = 7). The resulting Toolkit distills Critical Race Theory's and intersectionality's most critical elements into a user-friendly modality to promote and enhance equitable MCH policies and programs for diverse U.S. women and families.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.