Ensaio teórico-metodológico sobre validade da informação da identidade de gênero no monitoramento epidemiológico da violência

Rafael, Ricardo de Mattos Russo; Gil, Adriana Costa; Santos, Helena Gonçalves de Souza; Caravaca-Morera, Jaime Alonso; Breda, Karen Lucas

doi:10.1590/1980-220x-reeusp-2023-0240pt

Cited by 2 publications

(3 citation statements)

References 20 publications

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“…On the other hand, people without a cisgender personality who had not reported their true identity or were not even asked about it, as well as people without a binary personality whose identity could not be recorded, also had an “unknown” record. This scenario especially lowers the sensitivity of the instrument, so in mortality analyses, it is possible that the cisgender data are skewed by miscategorized deaths of others, resulting in a potentially erroneous approximation of the risks among cisgender people and transvestites, transwomen, and transmen (18).…”

Section: Discussionmentioning

confidence: 99%

“…Variables such as sex, sexual orientation, and gender identity, which were exposures of interest in this investigation, were synthesized to build analytical groups approximating the realities of exposure of people to the concrete reality. Originally present in SINAN, the possible entries included female (S0) and male (S1) for the variable “sex”; heterosexual (O0), bisexual or homosexual (O1), and “unknown” or “omitted” (O2) for “sexual orientation”; and, for the gender variable, it is important to consider that the registration was made only for travestis and trans women (G1) and trans men (G2), with the interpretation that data “unknown” or “omitted” (G0) referred to the cisgender population, despite the validity problems that this may produce (18).…”

Section: Methodsmentioning

confidence: 99%

“…The same occurs for trans men, who are classified as part of the female population. This is because only the sex assigned at birth and recorded in Brazilian administrative systems is identified in SIM (17,18). This is the paradox of the country that, according to nongovernmental agencies, murders the most LGBT+ people (19).…”

Section: Introductionmentioning

confidence: 99%

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Mortality according to gender identity and sexual orientation: Data relationship strategies for Rio de Janeiro, Brazil

Rafael,

Silva,

Santos

et al. 2024

Preprint

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Objective: To evaluate the accuracy, potential, and limits of probabilistic data relationships to yield information on deaths according to sex identity and sexual orientation in the state of Rio de Janeiro. Methods: This study evaluated the accuracy of the probabilistic relationship of data to obtain information on deaths according to gender and sexual orientation. Data from two information systems were used from June 15, 2015 to December 31, 2020. We constructed nine probabilistic data relationship strategies and identified the performance and cutoff points of the best strategy. Results: The best data blocking strategy was established through logical blocks with the first and last names, birthdate, and mother's name in the pairing strategy. With a population base of 80,178 records, 1556 deaths were retrieved. With an area under the curve of 0.979, this strategy presented 93.26% accuracy, 98.46% sensitivity, and 90.04% specificity for the cutoff point ≥ 17.9 of the data relationship score. The adoption of the cutoff point optimized the manual review phase, identifying 2259 (90.04%) of the 2509 false pairs and identifying 1532 (98.46%) of the 1556 true pairs. A crude mortality rate of 19.11 deaths per 1,000 people was observed, where women who had sex with women, transvestites, and transgender women had higher mortality rates than heterosexual cisgender women. Neither men nor men with gender markers had higher mortality rates than heterosexual cisgender women. Conclusion: With the identification of possible strategies for determining probabilistic data relationships, the retrieval of information on mortality according to sexual and sex markers has become feasible. Based on information from the daily routine of health services, the formulation of public policies that consider the LGBT+ population more closely reflects the reality experienced by these population groups.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Mortality according to gender identity and sexual orientation: Data relationship strategies for Rio de Janeiro, Brazil

Rafael,

Silva,

Santos

et al. 2024

Preprint

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Accuracy, potential, and limitations of probabilistic record linkage in identifying deaths by gender identity and sexual orientation in the state of Rio De Janeiro, Brazil

de Mattos Russo Rafael,

da Silva,

de Souza Santos

et al. 2024

BMC Public Health

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Background Globally, the counting of deaths based on gender identity and sexual orientation has been a challenge for health systems. In most cases, non-governmental organizations have dedicated themselves to this work. Despite these efforts in generating information, the scarcity of official data presents significant limitations in policy formulation and actions guided by population needs. Therefore, this manuscript aims to evaluate the accuracy, potential, and limits of probabilistic data relationships to yield information on deaths according to gender identity and sexual orientation in the State of Rio de Janeiro. Methods This study evaluated the accuracy of the probabilistic record linkage to obtain information on deaths according to gender and sexual orientation. Data from two information systems were used from June 15, 2015 to December 31, 2020. We constructed nine probabilistic data relationship strategies and identified the performance and cutoff points of the best strategy. Results The best data blocking strategy was established through logical blocks with the first and last names, birthdate, and mother’s name in the pairing strategy. With a population base of 80,178 records, 1556 deaths were retrieved. With an area under the curve of 0.979, this strategy presented 93.26% accuracy, 98.46% sensitivity, and 90.04% specificity for the cutoff point ≥ 17.9 of the data relationship score. The adoption of the cutoff point optimized the manual review phase, identifying 2259 (90.04%) of the 2509 false pairs and identifying 1532 (98.46%) of the 1556 true pairs. Conclusion With the identification of possible strategies for determining probabilistic data relationships, the retrieval of information on mortality according to sexual and gender markers has become feasible. Based on information from the daily routine of health services, the formulation of public policies that consider the LGBTQ + population more closely reflects the reality experienced by these population groups.

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Ensaio teórico-metodológico sobre validade da informação da identidade de gênero no monitoramento epidemiológico da violência

Cited by 2 publications

References 20 publications

Mortality according to gender identity and sexual orientation: Data relationship strategies for Rio de Janeiro, Brazil

Mortality according to gender identity and sexual orientation: Data relationship strategies for Rio de Janeiro, Brazil

Accuracy, potential, and limitations of probabilistic record linkage in identifying deaths by gender identity and sexual orientation in the state of Rio De Janeiro, Brazil

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