Research Article

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)
 <151.15 (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)
 15–291.59 (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)
 30–441.33 (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)
 45–591.40 (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
 Male1 (reference)1 (reference)1 (reference)1 (reference)1 (reference)
 Female0.91 (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
 Urban1 (reference)1 (reference)1 (reference)1 (reference)1 (reference)
 Rural1.41 (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 Papua1 (reference)1 (reference)1 (reference)1 (reference)1 (reference)
 Lesser Sunda Islands0.93 (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)
 Kalimantan1.22 (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)
 Sulawesi1.31(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)
 Java1.01 (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)
 Sumatra1.24 (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 insurances1 (reference)1 (reference)1 (reference)1 (reference)1 (reference)
 Private employees insurance0.66 ( 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 insurance0.67 (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 poor0.97 (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)
 Uninsured1.37 (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.