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巴西的口腔健康服务可及性:基于2014年和2018年国家初级医疗服务可及性与质量提升计划,从服务使用者角度分析不平等及不可及情况

Oral health access in Brazil: analysis of inequities and non-access from the service user's perspective, according to the National Primary Care Access and Quality Improvement Program, 2014 and 2018.

作者信息

Freire Deborah Ellen Wanderley Gomes, Freire Aldelany Ramalho, Lucena Edson Hilan Gomes de, Cavalcanti Yuri Wanderley

机构信息

Universidade Federal da Paraíba, Programa de Pós-Graduação em Odontologia, João Pessoa, PB, Brasil.

出版信息

Epidemiol Serv Saude. 2021 Sep 3;30(3):e2020444. doi: 10.1590/S1679-49742021000300016. eCollection 2021.

DOI:10.1590/S1679-49742021000300016
PMID:34495041
Abstract

OBJECTIVE

To investigate factors associated with non-access to oral health in Brazil.

METHODS

This was a cross-sectional study of data from external evaluations of the National Primary Care Access and Quality Improvement Program (2014 and 2018), using hierarchical multivariate logistic regression. 'Non-access' was defined as the service user not being able to make an appointment with a dentist.

RESULTS

We analyzed data on 37.262 individuals (2014 sample) and on a further 117.570 individuals (2018 sample). Greater likelihood of non-access was found for those who live in municipalities with greater inequalities and with less oral health coverage, those whose travel time to the health center is more than 11 minutes, being female, being aged between 25 and 39 years and those whose income was up to 1 minimum wage.

CONCLUSION

Non-access was associated with municipal factors such as greater inequality; organizational factors such as less oral health coverage and travel time to the health center; and individual factors such as sex, age and income.

摘要

目的

调查巴西无法获得口腔健康服务的相关因素。

方法

这是一项对国家初级保健可及性与质量改进计划(2014年和2018年)外部评估数据的横断面研究,采用分层多变量逻辑回归分析。“无法获得服务”被定义为服务使用者无法预约牙医。

结果

我们分析了37262名个体(2014年样本)以及另外117570名个体(2018年样本)的数据。研究发现,居住在不平等程度更高、口腔健康服务覆盖率更低的城市的人群,前往健康中心的行程时间超过11分钟的人群,女性,年龄在25至39岁之间以及收入不超过1个最低工资标准的人群,无法获得服务的可能性更大。

结论

无法获得服务与城市因素(如更大的不平等)、组织因素(如更低的口腔健康服务覆盖率和前往健康中心的行程时间)以及个体因素(如性别、年龄和收入)相关。

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