| Literature DB >> 27927241 |
Camila Nascimento Monteiro1,2, Mariëlle A Beenackers3, Moisés Goldbaum4,5, Marilisa Berti de Azevedo Barros6,7, Reinaldo José Gianini4,8, Chester Luiz Galvão Cesar5,9, Johan P Mackenbach3.
Abstract
BACKGROUND: Access to, and use of, dental health services in Brazil have improved since 2003. The increase of private health care plans and the implementation of the "Smiling Brazil" Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in São Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003.Entities:
Keywords: Dental care; Dental health services; Health surveys; Inequalities in health care services
Mesh:
Year: 2016 PMID: 27927241 PMCID: PMC5142432 DOI: 10.1186/s12913-016-1928-y
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Characteristics of the ISA-Capital 2003 and ISA-Capital 2008 respondents living in the city of São Paulo, Brazil
| 2003 | 2008 | Trend 2003–2008 | |
|---|---|---|---|
| Total sample | 1667 | 2086 | |
| Sociodemographic factors | |||
| Age group | %a (n)b | %a (n)b | |
| 20–59 | 84.0 (795) | 83.7 (1162) | |
| 60+ | 16.0 (872) | 16.3 (924) | |
| Gender | |||
| Male | 45.1 (803) | 46.3 (848) | |
| Female | 54.9 (864) | 53.7 (1238) | |
| Socioeconomic factors | |||
| Ethnicity | <0.001c | ||
| Caucasian | 67.42 (1077) | 62.2 (1311) | |
| Non-caucasian | 32.6 (542) | 37.8 (770) | |
| Education (years of study) | 0.001c | ||
| 0–3 | 14.2 (450) | 10.2 (413) | |
| 4–7 | 25.7 (509) | 19.0 (591) | |
| 8–11 | 36.2 (450) | 46.6 (774) | |
| 12+ | 23.9 (231) | 24.2 (305) | |
| Household income (minimum legal wage) | 0.356c | ||
|
| 12.5 (262) | 9.9 (241) | |
|
| 27.6 (386) | 38.6 (628) | |
|
| 32.3 (434) | 31.4 (459) | |
|
| 27.6 (251) | 20.1 (211) | |
| Housing condition | 0.199c | ||
| Adequate | 83.1 (1410) | 88.2 (1805) | |
| Inadequate | 16.9 (257) | 11.8 (281) | |
| Dental health service use | |||
| Dental health service use | 46.7 (611) | 55.4 (1002) | 0.001c |
| Dental health service use in public sector | 5.8 (54) | 6.8 (91) | 0.516c |
aPercentages weighted according to the weight given in the sampling process
bUnweighted frequency
cDifference between proportions in 2003 and proportions in 2008 Chi-square Pearson
Crude and adjusted logistic regression for dental service use and socioeconomic factors. São Paulo, 2003 and 2008
| Dental health service use in the last 12 months 2003 | Dental health service use in the last 12 months 2008 | Difference in association of socioeconomic factor and dental service use between 2003 and 2008a | Dental health service use difference between 2003 and 2008b | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Dental service use | Crude OR | Adjusted ORc (95% CI) | Dental service use | Crude OR | Adjusted ORc
| Crude Model- | Adjusted Model- |
| |
| Education | 0.844 | 0.480 | |||||||
| 0–3 | 23.3 (86) | 1 | 1 | 29.3 (112) | 1 | 1 | 0.005 | ||
| 4–7 | 35.1 (159) | 1.8 (1.1–3.0) | 1.7 (1.1–2.9) | 38.2 (219) | 1.5 (1.1–2.0) | 1.5 (1.1–2.0) | 0.002 | ||
| 8–11 | 48.7 (206) | 3.1 (1.8–5.3) | 2.9 (1.7–5.1) | 58.8 (445) | 3.4 (2.5–4.8) | 3.4 (2.4–4.8) | <0.001 | ||
| 12+ | 71.0 (155) | 8.1 (4.3–15.0) | 7.6 (3.9–5.1) | 73.2 (224) | 6.6 (4.4–10.0) | 6.6 (4.3–10.1) | 0.009 | ||
| Household income | 0.147 | 0.102 | |||||||
|
| 32.8 (58) | 1 | 1 | 39.3 (71) | 1 | 1 | 0.004 | ||
|
| 34.7 (84) | 1.1 (0.7–1.8) | 1.0 (0.6–1.7) | 47.5 (263) | 1.4 (0.9–2.2) | 1.3 (0.8–2.0) | <0.001 | ||
|
| 42.2 (211) | 1.5 (0.9–2.3) | 1.4 (0.9–2.2) | 59.4 (253) | 2.3 (1.3–3.8) | 2.1 (1.3–3.5) | <0.001 | ||
|
| 58.9 (258) | 2.9 (1.7–5.1) | 2.8 (1.6–4.8) | 69.3 (141) | 3.5 (2.1–5.9) | 3.3 (2.0–5.4) | 0.023 | ||
| Housing condition | 0.655 | 0.443 | |||||||
| Adequate | 49.9 (544) | 1 | 1 | 57.2 (902) | 1 | 1 | 0.014 | ||
| Inadequate | 30.9 (67) | 0.4 (0.3–0.8) | 0.4 (0.2–0.7) | 41.5 (100) | 0.5 (0.4–0.7) | 0.5 (0.4–0.7) | <0.001 | ||
| Ethnicity | 0.982 | 0.631 | |||||||
| Caucasian | 51.3 (440) | 1 | 1 | 60.6 (683) | 1 | 1 | <0.001 | ||
| Non-Caucasian | 37.2 (166) | 0.6 (0.4–0.8) | 0.5 (0.4–0.7) | 46.6 (316) | 0.6 (0.4–0.7) | 0.5 (0.4–0.7) | <0.001 | ||
| Private Health Plan | |||||||||
| Private health plan-No | 45.4 (445) | 1 | 1 | ||||||
| Private health plan-Yes | 65.7 (557) | 2.3 (1.8–2.9) | 2.4 (1.9–3.1) | ||||||
aResults of the interaction analyses between time and socioeconomic factor. For the models including education and income, likelihood ratio tests were used to obtain an overall significance test for the interaction term
bDifference between proportions in 2003 and proportions in 2008. Chi-square Pearson
cAdjusted for age and gender
Crude and adjusted logistic regression for use of dental service in the public sector. São Paulo, 2003 and 2008
| Dental health service use in the public sector-2003 | Dental health service use in the public sector-2008 | Difference in association of socioeconomic factor and dental service use between 2003 and 2008a | Dental health service use from public sector- 2003 and 2008b | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Dental service use from public sector | Crude OR | Adjusted ORc
| Dental service use from public sector | Crude OR | Adjusted ORc
| Crude Model- | Adjusted Model- |
| |
| Education | 0.098 | 0.075 | |||||||
| 0–3 | 19.0 (21) | 1 | 1 | 14.9 (20) | 1 | 1 | 0.048 | ||
| 4–7 | 9.9 (18) | 0.5 (0.2–0.9) | 0.5 (0.2–0.9) | 15.00 (31) | 1.0 (0.5–2.1) | 1.1 (0.5–2.2) | 0.865 | ||
| 8–11 | 6.2 (13) | 0.3 (0.1–0.8) | 0.3 (0.1–0.9) | 6.9 (36) | 0.4 (0.2–0.8) | 0.4 (0.2–0.8) | 0.201 | ||
| 12+ | 0.5 (2) | 0.02 (0.01–0.1) | 0.02 (0.01–0.2) | 2.0 (4) | 0.1 (0.04–0.4) | 0.1 (0.04–0.8) | 0.248 | ||
| Household incomed | 0.084 | 0.069 | |||||||
|
| 10.5 (9) | 1 | 1 | 14.5 (21) | 1 | 1 | 0.255 | ||
|
| 16.2 (15) | 1.7 (0.5–5.2) | 1.9 (0.6–5.9) | 8.3 (26) | 0.5 (0.2–1.2) | 0.5 (0.2–1.3) | 0.121 | ||
|
| 8.0 (25) | 0.7 (0.2–2.9) | 0.8 (0.2–3.2) | 2.6 (8) | 0.2 (0.1–0.6) | 0.2 (0.1–0.6) | 0.002 | ||
|
| 1.4 (5) | 0.1 (0.02–0.6) | 0.1 (0.03–0.7) | 2.4 (7) | 0.1 (0.02–0.4) | 0.1 (0.02–0.4) | 0.804 | ||
| Housing condition | 0.142 | 0.067 | |||||||
| Adequate | 5.4 (45) | 1 | 1 | 6.3 (79) | 1 | 1 | 0.668 | ||
| Inadequate | 8.8 (9) | 1.7 (0.5–5.8) | 1.9 (0.5–6.5) | 11.6 (12) | 1.9 (0.9–4.2) | 1.9 (0.9–4.3) | 0.157 | ||
| Ethnicity | 0.800 | 0.426 | |||||||
| Caucasian | 5.2 (32) | 1 | 1 | 4.7 (44) | 1 | 1 | 0.995 | ||
| Non-Caucasian | 7.5 (22) | 1.5 (0.6–3.3) | 1.7 (0.8–3.7) | 11.4 (47) | 2.6 (1.4–4.8) | 2.9 (1.6–5.2) | 0.701 | ||
aDifferences in socioeconomic characteristics between 2003 and 2008 among population who used dental services
bDifference between proportions in 2003 and proportions in 2008. Chi-square Pearson
cAdjusted for age and gender
dMissings were excluded
Main reasons for people not seeking dental services in the previous 12 months and socioeconomic characteristics of education and income. São Paulo, 2003 and 2008
| Reason | 2003 | 2008 | ||||
|---|---|---|---|---|---|---|
| 0–7 years of study | 7 years or more | Difference between educational groups for each reason: | 0–7 years of study | 7 years or more | Difference between educational groups for each reason: | |
| Financial difficulty | 42.6 (190) | 25.0 (64) | <0.001 | 33.3 (165) | 29.3 (104) | 0.005 |
| ‘I have no teeth’ | 17.0 (216) | 10.9 (71) | <0.001 | 19.4 (216) | 9.4 (76) | <0.001 |
| ‘I did not think necessary’ | 24.8 (193) | 45.7 (130) | <0.001 | 33.5 (210) | 40.8 (154) | 0.066 |
| ‘I did not have time’ | 7.4 (26) | 6.6 (16) | 0.125 | 6.5 (26) | 13.0 (38) | 0.450 |
| ‘The dental care service was full’ | 2.6 (11) | 1.0 (2) | 0.231 | 1.8 (8) | 2.2 (9) | 0.689 |
| ‘The dental care service is too far from my home’ | 0.05 (2) | 0 | n. ab | 0.6 (4) | 0.1 (1) | n. ab |
| ‘I did not know the service was available’ | 0.03 (1) | 0 | n. ab | 0.3 (2) | 0.2 (1) | n. ab |
|
|
| Difference between income groups for each reason: | <2.5 mw % ( | ≥2.5 mw % ( | Difference between income groups for each reason: | |
| Financial difficulty | 44.3 (142) | 23.2 (68) | <0.001 | 38.0 (168) | 20.0 (53) | <0.001 |
| ‘I have no teeth’ | 15.8 (144) | 10.1 (84) | <0.001 | 15.0 (157) | 10.9 (78) | 0.0005 |
| ‘I did not think necessary’ | 25.6 (134) | 46.3 (158) | <0.001 | 31.9 (185) | 47.4 (134) | 0.0007 |
| ‘I did not have time’ | 5.3 (15) | 9.1 (22) | 0.552 | 8.5 (31) | 14.5 (30) | 0.713 |
| ‘The dental care service was full’ | 2.6 (9) | 0.8 (2) | 0.150 | 2.0 (9) | 2.3 (6) | 0.751 |
| ‘The dental care service is too far from my home’ | 0.2 (1) | 0 | n. ab | 0.4 (4) | 0 | n. ab |
| ‘I did not know the service was available’ | 0.03 (1) | 0 | n. ab | 0.5 (3) | 0 | n. ab |
aDifferences in reason for not seeking dental services between 2003 and 2008
bNumbers too small to analyze