Table 3.
Logistic Regression Results: How Specific Health Plan Characteristics Are Associated with Mammography Utilization
| Model | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Variable | 1* | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| Having a defined provider network | — | 1.21§ | — | — | — | — | — | — | — |
| [1.07–1.36] | |||||||||
| P=.002 | |||||||||
| Coverage for care restricted to a network | — | — | 1.18 | — | — | — | — | — | — |
| [0.83–1.70] | |||||||||
| P=.331 | |||||||||
| Use of gatekeepers | — | — | — | 1.18 | — | — | — | — | — |
| [1.03–1.36] | |||||||||
| P=.021 | |||||||||
| Use of cost-containment measures | — | — | — | — | 0.78 | — | — | — | — |
| [0.56–1.10] | |||||||||
| P=.149 | |||||||||
| Copayment amount | — | — | — | — | — | 1.01 | — | — | — |
| [1.00–1.03] | |||||||||
| P=.104 | |||||||||
| Deductible amount | — | — | — | — | — | — | 1.00 | — | — |
| [1.00–1.00] | |||||||||
| P=.783 | |||||||||
| Coinsurance rate | — | — | — | — | — | — | — | 1.01 | — |
| [1.00–1.02] | |||||||||
| P=.130 | |||||||||
| Breadth of benefit coverage# | — | — | — | — | — | — | — | — | 1.13 |
| [0.92–1.39] | |||||||||
| P=.231 | |||||||||
| Model N | 2,803 | 2,692 | 1,085 | 2,613 | 1,021 | 1,218 | 1,368 | 1,383 | 1,364 |
Model 1 included control variables only.
Regression results reported include Odds Ratio, 95% Confidence Interval, and P-value.
Plan's coverage of medical, dental, vision, and prescriptive drugs services, categorized as 1=medical only, 2=medical + 1 or 2 services, 3=all 4 services covered.
Control variables specified across all models included age (1=50–69, 0=other), race/ethnicity (1=nonwhite, 0=white), education (years), marital status (1=married, 0=other), residence (1=MSA, 0=non-MSA), dental check-up frequency (1=never, 2=< once a year, 3=once a year, 4=twice a year or more), insurance coverage in past two years (1=continuous coverage, 0=not continuous), number of doctor visits in past year, and whether self-report survey response in MEPS.