New research challenges how we measure healthcare access — tracking realized vs. potential access reveals that proximity alone doesn't predict utilization
This study just published in Risk Analysis is directly relevant to a debate that comes up a lot in this field: are we measuring access correctly, or are we measuring something that only loosely correlates with actual healthcare utilization?
Researchers at Cal Poly combined mobile phone mobility data with demographic and socioeconomic census data to model pharmacy foot traffic across LA County. Rather than relying on traditional geographic proximity metrics, they applied discrete choice theory to analyze where people actually go what they call *realized access* versus what's simply available nearby.
Here are the core finding:
- Nearly 98% of LA County residents had a pharmacy within 5km. Only 70% used one that close.
- Over a third of low-income residents visited pharmacies in low-income neighborhoods. Fewer than 7% sought care in higher-income areas.
- The pattern reflects strong social similarity in mobility — people consistently choose facilities in communities that demographically mirror their own.
This has direct implications for how we conduct needs assessments, allocate resources, and evaluate intervention effectiveness. If our access metrics don't account for social and behavioral determinants of utilization, we're likely underestimating unmet need in underserved populations and overestimating the impact of supply-side interventions like simply opening new facilities.
The researchers note the model extends beyond pharmacies to grocery stores and other essential services and could be particularly valuable for modeling access disruption during disaster events and public health emergencies.