Evidence-based quality improvement (EBQI) methods may facilitate practice redesign for more effective implementation of the patient-centered medical home (PCMH).
We assessed changes in health care utilization and costs for patients receiving care from practices using an EBQI approach to implement PCMH and comparison practices over a 5-year period.
We used longitudinal, electronic data from patients in 6 practices using EBQI and 28 comparison practices implementing standard PCMH for 1 year before and 4 years after PCMH implementation. We analyzed trends in utilization and costs using bivariate analyses and independent effects of EBQI status on outcomes using multivariate regressions adjusting for year, patient and clinic factors, and patient random effects for repeated measures.
A total of 136,856 patients using Veterans Affairs primary care.
Veterans Affairs ambulatory care encounters, emergency department visits, admissions, and total health care costs per patient.
After PCMH implementation, overall utilization for primary care, specialty care, and mental health/substance abuse care decreased, whereas utilization for telephone care increased among all practices. Patients also had fewer hospitalizations and lower costs per patient. In adjusted analyses, EBQI practice was independently associated with fewer primary care (IRR=0.85), specialty care (IRR=0.83), and mental health care encounters (IRR=0.69); these effects attenuated over time (all P<0.01). There was no independent effect of EBQI on prescription drug use, acute care, health care costs, or mortality rate relative to comparison practices.
EBQI methods enhanced the effects of PCMH implementation by reducing ambulatory care while increasing non-face-to-face care.
*Health Economics Resource Center
†Center for Innovation to Implementation, VA Palo Alto, Menlo Park
‡Center for the Study of Healthcare Innovation, Implementation, & Policy, Greater Los Angeles VA, Sepulveda
§UCLA School of Medicine, Los Angeles
∥RAND Corp., Santa Monica, CA
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Supported by the Department of Veteran Affairs, Veterans Health Administration, Patient Care Services, the VA Improvement and Assessment Laboratory (Project XVA 65-018).
Disclaimer: The contents do not represent the views of the U.S. Department of Veterans Affairs or the United States Government.
The authors declare no conflict of interest.
Reprints: Jean Yoon, PhD, MHS, Health Economics Resource Center, VA Palo Alto, 795 Willow Road, 152 MPD, Menlo Park, CA 94025. E-mail: email@example.com.