Do the Indonesians Receive the Dental Care Treatment They Need? A Secondary Analysis on Self-Perceived Dental Care Need
Table 4
Results of multivariate logistic regression analysis for unmet dental care needs with selected predictors from Susenas year 2003 to 2007.
Variables*
2003 (n = 17,881)
2004 (n = 26,891)
2005 (n = 23,122)
2006 (n = 25,761)
2007 (n = 26,600)
OR (95% CI)§
OR (95% CI)§
OR (95% CI)§
OR (95% CI)§
OR (95% CI)§
Age (years)
<15
1.15 (1.00–1.31)
1.26 (1.13–1.66)
1.31 (1.16–1.47)
1.26 (1.12–1.41)
1.18 (1.06–1.31)
15–29
1.59 (1.40–1.81)
1.49 (1.34–1.66)
1.84 (1.63–2.08)
1.62 (1.45–1.81)
1.55 (1.39–1.72)
30–44
1.33 (1.17–1.52)
1.41 (1.27–1.56)
1.57 (1.40–1.77)
1.36 (1.22–1.52)
1.31 (1.19–1.45)
45–59
1.40 (1.22–1.61)
1.15 (1.03–1.29)
1.31 (1.16–1.48)
1.27 (1.14–1.43)
1.16 (1.04–1.29)
60<
1 (reference)
1 (reference)
1 (reference)
1 (reference)
1 (reference)
Gender
Male
1 (reference)
1 (reference)
1 (reference)
1 (reference)
1 (reference)
Female
0.91 (0.86–0.97)
0.94 (0.89–0.99)
0.93 (0.88–0.98)
0.96 (0.91–1.01)
0.93 (0.89–0.98)
Residence
Urban
1 (reference)
1 (reference)
1 (reference)
1 (reference)
1 (reference)
Rural
1.41 (1.31–1.51)
1.17 (1.11–1.24)
1.23 (1.15–1.31)
1.17 (1.10–1.24)
1.12 (1.06–1.19)
Macroregions
Maluku Islands and West Papua
1 (reference)
1 (reference)
1 (reference)
1 (reference)
1 (reference)
Lesser Sunda Islands
0.93 (0.77–1.12)
0.71 (0.61–0.83)
0.55 (0.47–0.64)
0.52 (0.45–0.60)
0.52 (0.45–0.59)
Kalimantan
1.22 (1.00–1.48)
1.41 (1.20–1.66)
1.15 (0.98–1.34)
0.88 (0.76–1.01)
0.97 (0.85–1.11)
Sulawesi
1.31(1.09–1.58)
1.30 (1.11–1.51)
1.04 (0.90–1.20)
0.95 (0.84–1.09)
0.94 (0.83–1.07)
Java
1.01 (0.85–1.21)
0.99 (0.85–1.14)
0.72 (0.62–0.83)
0.76 (0.66–0.86)
0.66 (0.58–0.74)
Sumatra
1.24 (1.04–1.49)
1.38 (1.19–1.60)
1.10 (0.96–1.27)
0.91 (0.84–1.03)
0.75 (0.67–0.85)
Health insurance entitlement
Other insurances
1 (reference)
1 (reference)
1 (reference)
1 (reference)
1 (reference)
Private employees insurance
0.66 ( 0.52–0.84)
1.09 (0.89–1.32)
0.84 (0.62–1.13)
0.79 (0.57–1.08)
0.96 (0.68–1.34)
Government employees insurance
0.67 (0.54–0.84)
0.96 (0.82–1.12)
0.83 (0.63–1.11)
0.84 (0.62–1.14)
0.91 (0.66–1.26)
Insurances for the poor
0.97 (0.80–1.19)
1.59 (1.38–1.82)
1.08 (0.83–1.41)
1.01 (0.76–1.35)
1.33 (0.98–1.81)
Uninsured
1.37 (1.14–1.65)
1.97 (1.73–2.24)
1.58 (1.22–2.04)
1.45 (1.09–1.92)
1.75 (1.29–2.38)
*
As explanatory variables, age, gender, residence, macroregions, and health insurance entitlement were input into the model as covariates by using a procedure for variable selection, in which all variables in a block are entered in a single step.
§
Adjusted odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated using multiple logistic regression analysis. The met/unmet need for dental care was used as a response variable.