Table 2.
Multilevel logistic regression models estimating odds of non-adherence to biguanide medication amongst Type 2 Diabetes patients enrolled in Medicaid over two years (2017–2018).
‘Null’ model (n = 24,387) |
Model 1 (n = 24,387) |
Model 2 (n = 24,387) |
Model 3 (n = 24,387) |
||
---|---|---|---|---|---|
OR (95% CI) | OR (95% CI) | OR (95% CI) | OR (95% CI) | ||
Individual-level variables | |||||
Sex | Male | 1.01 (0.96–1.06) | 1.02 (0.96–1.07) | 1.02 (0.96–1.07) | |
Age | 18–34 | Referent | Referent | Referent | |
35–49 | 0.58** (0.52–0.65) | 0.58**(0.52–0.65) | 0.58**(0.52–0.65) | ||
50–64 | 0.33** (0.30–0.37) | 0.33**(0.30–0.37) | 0.34**(0.30–0.37) | ||
≥65 | 0.29** (0.24–0.35) | 0.28**(0.24–0.34) | 0.28**(0.24–0.34) | ||
Comorbidity a |
0 | Referent | Referent | Referent | |
1 | 0.69** (0.64–0.75) | 0.69**(0.63–0.75) | 0.69**(0.63–0.74) | ||
2 | 0.68** (0.61–0.75) | 0.68**(0.61–0.75) | 0.68**(0.61–0.75) | ||
3 | 0.76** (0.67–0.87) | 0.76**(0.67–0.87) | 0.76**(0.67–0.87) | ||
Contextual-level variables | |||||
Rural-Urban (RUCA) b | Urban core | Referent | Referent | ||
Suburban | 0.90 (0.80–1.01) | 0.90 (0.80–1.01) | |||
Large rural | 0.78**(0.72–0.84) | 0.78**(0.72–0.84) | |||
Small town/rural | 0.75**(0.67–0.85) | 0.75**(0.66–0.85) | |||
Social Vulnerability Index (quintiles) | Q1 (Least) | Referent | Referent | ||
Q2 | 1.29**(1.08–1.53) | 1.29**(1.08–1.53) | |||
Q3 | 1.34**(1.14–1.68) | 1.34**(1.14–1.58) | |||
Q4 | 1.46**(1.24–1.72) | 1.47**(1.25–1.73) | |||
Q5 (Greatest) | 1.66**(1.42–1.95) | 1.67**(1.42–1.95) | |||
Distance to utilised pharmacy (km) | <1 | Referent | |||
1–2.9 | 1.07 (0.98–1.16) | ||||
3–4.9 | 1.06 (0.97–1.15) | ||||
5–9.9 | 1.05 (0.96–1.14) | ||||
>10 | 1.05 (0.96–1.15) | ||||
ICCb tract | 0.0224 | 0.0249 | 0.0170 | 0.0167 | |
AICb | 33713.34 | 32777.19 | 32671.29 | 32676.56 | |
BICb | 33729.55 | 32850.11 | 32800.92 | 32838.59 |
*p value < 0.05, **p value < 0.01 OR Odds Ratio, CI Confidence Interval.
Count of comorbid conditions including hypertension, coronary heart disease and coronary heart failure.
RUCA Rural-Urban Commuting Area codes, ICC intra-level correlation coefficient, AIC Akaike Information Criterion, BIC Bayesian Information Criteria.