Partnership to Fine-Tune Care Model for High-Needs Patients
The Peterson Center on Healthcare has entered into a partnership with the Camden Coalition of Healthcare Providers and Health Quality Partners (HQP) to improve care and lower costs for high-need patients.
The new project, made possible through a $605,000 grant from the Peterson Center, will work to accelerate adoption of the Advanced Preventive Care (APC) model, which the partners say has been shown to decrease mortality (by 22 percent), reduce hospitalizations (by 25 percent), and lower healthcare costs among chronically ill, older adults (by 10 percent).
The APC model prevents avoidable complications among chronically ill, older adults by filling the gap between office-based primary care and later stage interventions. Skilled nurses closely assess, monitor and engage participants and their families to proactively mitigate health risks and preventable complications. While several health systems have implemented the model, more work is needed to help other health systems adopt complex models such as APC.
“Improving care and lowering costs for high-need patients should be among our highest priorities in healthcare,” said Jay Want, M.D., executive director of the Peterson Center., in a prepared statement. “By spreading the proven Advanced Preventive Care model, this exciting partnership has great potential to help the growing population of high-need patients nationwide who require well-coordinated care, but too often are not getting it.”
Through the project, the Camden Coalition’s National Center for Complex Health and Social Needs and HQP will engage a multidisciplinary group of experts (from disciplines including healthcare, implementation science, user-centered design, and evaluation) to design more efficient implementation methodologies and infrastructures for health systems to incorporate APC into their patient care. The Camden Coalition and HQP will also develop an evaluation framework to test the newly designed systems for replication and share key learnings with the field that may help to further scale similar efforts.
