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Analysis of the completeness and consistency of records of violence against indigenous women in the health macro-region of Dourados, Mato Grosso do Sul state, Brazil, 2009-2020. | LitMetric

AI Article Synopsis

Article Abstract

Objective: To analyze the temporal trend of completeness and consistency of data on notifications of violence against indigenous women in the health macro-region of Dourados, state of Mato Grosso do Sul, Brazil, between 2009 and 2020.

Methods: An ecological time series study was conducted using data from the Notifiable Health Conditions Information System; Prais-Winsten regression was used to analyze the trend of data completeness and consistency, as well as the proportion of completed and coherent fields.

Results: A total of 2,630 cases were reported; completeness was found to be very poor in the variable "occupation" (48.9%) and poor in the variables "schooling" (68.3%) and "time of occurrence" (67.9%); in the analysis of temporal trends, only the variable "occupation" showed a decreasing trend (p = 0.045).

Conclusion: The data analyzed demonstrated the need for improvement in the completeness of the variables "schooling", "occupation" and "time of occurrence" of the violent act.

Main Results: There was a progressive increase in notifications over the years. Most of the variables showed regular or excellent completeness and consistency. In the analysis of temporal trend, only the "occupation" variable showed a decreasing trend.

Implications For Services: Care for victims of violence is part of the daily routine of health services, and it is essential for health professionals to provide adequate compulsory notification for a comprehensive understanding of the victims' profile, thus assisting in addressing this issue.

Perspectives: Further studies are needed to understand the factors associated with violence against indigenous women, which could help the development of health promotion actions and violence prevention strategies targeting these women.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11135905PMC
http://dx.doi.org/10.1590/S2237-96222024V33E20231075.ENDOI Listing

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