| Autor: |
Souza IM; Centro de Ciências da Saúde, Universidade Federal do Recôncavo da Bahia. Av. Carlos Amaral, R. do Cajueiro, 1015. 44574-490 Santo Antônio de Jesus BA Brasil. ionaramagalhaes@ufrb.edu.br., Araújo EM; Programa de Pós-Graduação em Saúde Coletiva, Universidade Estadual de Feira de Santana (UEFS). Novo Horizonte BA Brasil., Silva Filho AMD; Programa de Pós-Graduação em Modelagem em Ciências da Terra e do Ambiente, UEFS. Novo Horizonte BA Brasil. |
| Jazyk: |
Portuguese; English |
| Zdroj: |
Ciencia & saude coletiva [Cien Saude Colet] 2024 Mar; Vol. 29 (3), pp. e05092023. Date of Electronic Publication: 2023 Dec 06. |
| DOI: |
10.1590/1413-81232024293.05092023 |
| Abstrakt: |
This ecological study of time trends and multiple groups evaluated incompleteness in the race/colour field of Brazilian health information system records and the related time trend, 2009-2018, for the diseases and disorders most prevalent in the black population. The Romero and Cunha (2006) classification was applied in order to examine incompleteness using secondary data from Brazil's National Notifiable Diseases System, Hospital Information System and Mortality Information System, by administrative regions of Brazil, while percentage underreporting and time trend were calculated using simple linear regression models with Prais-Winsten correction (p-value<0.05). All records scored poorly except those for mortality from external causes (excellent), tuberculosis (good) and infant mortality (fair). An overall downward trend was observed in percentage incompleteness. Analysis by region found highest mean incompleteness in the North (30.5%), Northeast (33.3%) and Midwest (33.0%) regions. The Southeast and Northeast regions showed the strongest downward trends. The findings intended to increase visibility on the implications of the race/color field for health equity. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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