Utilisation of dental services by Brazilian adults in rural and urban areas: a multi-group structural equation analysis using the Andersen behavioural model

被引:23
|
作者
Herkrath, Fernando Jose [1 ,2 ,3 ]
Vettore, Mario Vianna [4 ,5 ]
Werneck, Guilherme Loureiro [3 ,6 ]
机构
[1] Univ Estado Amazonas, Escola Super Ciencias Saude, Av Carvalho Leal 1777, BR-69065001 Manaus, Amazonas, Brazil
[2] Fundacao Oswaldo Cruz, Inst Leonidas & Maria Deane, Rua Teresina 476, BR-69057070 Manaus, Amazonas, Brazil
[3] Univ Estado Rio de Janeiro, Inst Med Social, Rua Sao Francisco Xavier 524,Bloco D,7 Andar UERJ, BR-20550013 Rio De Janeiro, RJ, Brazil
[4] Univ Fed Minas Gerais, Fac Odontol, Dept Odontol Social & Prevent, Av Presidente Antonio Carlos 6627, BR-31270901 Belo Horizonte, MG, Brazil
[5] Univ Sheffield, Sch Clin Dent, 19 Claremont Crescent, Sheffield S10 2TA, S Yorkshire, England
[6] Univ Fed Rio de Janeiro, Inst Estudos Saude Colet, Ave Horacio Macedo S-N,Cidade Univ, BR-21941598 Rio De Janeiro, RJ, Brazil
关键词
Dental health services utilisation; Health surveys; Theoretical models; Rural population; ORAL-HEALTH; ACCESS; CARE; DETERMINANTS; ASSOCIATION; POPULATION;
D O I
10.1186/s12889-020-09100-x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background The utilisation of health services is determined by complex interactions. In this context, rural populations face greater barriers in accessing dental services than do urban populations, and they generally have poorer oral health status. The evaluation of the determinants of health services utilisation is important to support planning and management of dental services. The aim of this study was to evaluate the predictors of dental services utilisation of Brazilian adults living in rural and urban areas. Methods Data from 60,202 adults aged 18 years or older who took part in the Brazilian National Health Survey carried out in 2013 were analysed. Predisposing (age, sex, education, social networks), enabling financing (income, durable goods and household's crowding), enabling organisation (health insurance, registration in primary health care [PHC]) and need variables (eating difficulties, self-perceived tooth loss and self-perceived oral health) were selected based upon the Andersen behavioural model. Multi-group structural equation modeling assessed the direct and indirect associations of independent variables with non-utilisation of dental services and the interval since the last dental visit for individuals living in rural and urban areas. Results Adults living in urban areas were more likely to use dental services than those living in rural areas. Lower enabling financing, lower perceived dental needs and lack of PHC registration were directly associated with lower utilisation of dental services (non-utilisation, beta = - 0.36, beta = - 0.16, beta = - 0.03, respectively; and interval since last dental visit, beta = 1.25, beta = 0.82, beta = - 0.12, respectively). The enabling financing (non-utilisation, beta(rural) = - 0.02 [95%CI: - 0.03 to - 0.02], beta(urban) = 0.00 [95%CI: - 0.01 to 0.00]) and PHC registration (non-utilisation, beta(rural) = - 0.03 [95%CI: - 0.04 to - 0.02], beta(urban) = - 0.01 [95%CI, - 0.01 to - 0.01]) non-standardised total effects were stronger in rural areas. Enabling organisation (beta = 0.16) and social network (beta = - 2.59) latent variables showed a direct effect on the interval since last dental visit in urban areas. Education and social networks influenced utilisation of dental services through different pathways. Males showed less use of dental services in both urban and rural areas (non-utilisation, beta(rural) = - 0.07, beta(urban) = - 0.04; interval since last dental visit, beta(rural) = - 0.07, beta(urban) = - 0.07) and older adults have used dental services longer than younger ones, mainly in rural areas (beta(rural) = 0.26, beta(urban) = 0.17). Conclusion Dental services utilisation was lower in rural areas in Brazil. The theoretical model was supported by empirical data and showed different relationships between the predictors in the two geographical contexts. In rural areas, financial aspects, education, primary care availability, sex and age were relevant factors for the utilisation of services.
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页数:13
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