Table 3. Factors associated with healthcare utilization a . Brazilian Longitudinal Study of Aging (ELSI-Brazil), 2015–2016. (n = 6,445).
| Variable | Any GP visit | Number of GP visits | Any specialist visit | Number of specialist visits |
|---|---|---|---|---|
| Family Health Strategy (versus traditional health post) | 1.62c (1.35–1.96) | 1.13b (1.03–1.25) | 0.81b (0.67–0.98) | 1.01 (0.88–1.15) |
| Private health plan | 0.52c (0.41–0.66) | 1.1 (0.93–1.29) | 3.06c (2.32–4.04) | 1.51c (1.30–1.75) |
| 3–4 primary care problems (versus < 3) | 1.09 (0.92–1.28) | 0.98 (0.87–1.10) | 0.85 (0.71–1.03) | 0.94 (0.81–1.08) |
| ≥ 5 primary care problems | 1.36c (1.18–1.56) | 0.8c (0.71–0.90) | 0.73c (0.63–0.84) | 0.9c (0.79–1.02) |
| Female | 1.22b (1.02–1.47) | 1.13 (1.00–1.27) | 0.98 (0.83–1.16) | 1.09 (0.97–1.22) |
| Any functional limitation | 1.02 (0.83–1.26) | 1.37c (1.20–1.56) | 1.52c (1.32–1.76) | 1.33c (1.18–1.50) |
| 1 or more chronic conditions | 1.21b (1.03–1.43) | 1.59c (1.41–1.80) | 1.24c (1.04–1.48) | 1.37c (1.21–1.55) |
| Lowest 2 household wealth quintiles | 1.27b (1.06–1.53) | 1.02 (0.90–1.15) | 0.63c (0.53–0.74) | 0.93 (0.79–1.10) |
GP: general practitioner or non-specialist physician
a Numbers are prevalence ratios and 95% confidence intervals from hurdle regression analyses that additionally control for age, educational attainment, civil status, and region of the country.
b p < 0.05
c p < 0.001