Dangerous Prescribing and Care Fragmentation
Discussant: Colleen Carey
We seek to quantify the association between care fragmentation and prescribing quantity and quality, purged of patient selection. To this end, we exploit “mover” patients (c.f. Finkelstein et al. 2016, Agha et al. 2017) who move across regions with varying levels of care fragmentation. We track how patients’ prescription drug use evolves when they move from, for example, a low fragmentation to a high fragmentation area. We also apply this research design to analyses at the provider group level by studying how care changes when patients change provider groups (c.f. Agha et al. 2018). In preliminary, cross-sectional results, we find that areas with fragmented care delivery tend to have fewer prescriptions, and fewer low-risk prescriptions. However, such findings may be the result of patient selection, highlighting the importance of research designs like the mover approach that are robust to non-random allocation of patients to areas.