Evidence map›Paper›PMID 38013764›Full record

ArticleBehavior and social issues2022

Brazilian Public Policies for Assistance to Women in Situations of Violence: Contributions from Culturo-Behavioral Science.

Virgínia Cordeiro Amorim, Emmanuel Zagury Tourinho, Traci M Cihon

Abstract read
In one paragraph

Article in Behavior and social issues, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. An Analysis of Voting and Legislative Behavior.Behavior analysis in practice · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Virgínia Cordeiro AmorimPrograma de Pós-Graduação em Teoria e Pesquisa do Comportamento, Universidade Federal do Pará, Belém, Brazil.ORCID 0000-0001-8827-4230
Emmanuel Zagury TourinhoPrograma de Pós-Graduação em Teoria e Pesquisa do Comportamento, Universidade Federal do Pará, Belém, Brazil.ORCID https://orcid.org/0000-0001-6165-6837
Traci M CihonDepartment of Behavior Analysis, University of North Texas, Denton, TX USA.ORCID https://orcid.org/0000-0002-7577-7063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brazilian public policies establish that the assistance to women in situations of violence should be carried out by networks comprising health, social assistance, public safety, and justice services. To solve intersectoral problems faced by the networks, the government suggests the creation of units of the Brazilian Woman's House (BWH) - an organization that concentrates the principal services. The objective of this study was to analyze the strategy of the BWH in the context of the networks from a culturo-behavioral science perspective. Toward this objective, national laws, statistical data, and public information related to BWH were analyzed. The analysis of the macrosystem indicates that the existence of a BWH places the services that compose it under the control of a common set of external variables, which can make the effects of legislation and funding more predictable. The organization's Total Performance System shows that reports constitute an essential aggregate product for stakeholders to exercise social control over this public policy. The process level analysis endorses the advantages of implementing BWH units. Some suggestions are made for changes in the wording of BWH legislation that might make BWH's products and the social control of this policy more likely. The recommendations presented should only be considered as a starting point for a broad discussion and future action. It is hoped that this study will support further analysis of the actual BWHs and inform reformulations of this public policy.

Indexed as

assistance networkbehavioral systems analysisCasa da Mulher Brasileiradomestic violenceintersectoral actionviolence against women

Identifiers

PMID38013764
PMCPMC9183750

What OpenQuestion holds

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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.