Understand how visit patterns shape planning in a city’s family planning system.
This study analyzes how often patients return for visits and how that affects clinic workload and staffing in Atlanta’s public program.
The work uses data from a large, urban system to show how continuation rates vary by method, race, parity, and agency. It connects those patterns to practical aims like forecasting visits, evaluating program changes, and guiding follow-up and policy decisions.
- How visit continuation is defined and measured across different groups
- What inter-visit times look like for different methods and patient categories
- How agency, race, and parity influence return visits and method choices
- How the findings can inform forecasting, staffing, and program changes
Ideal for readers of public health administration and policy, who seek data-driven methods to improve service delivery.