Shaping the Rhode Island Duals Demonstration: The Power of Partnerships between Advocates and Geriatrics Experts

This paper describes a unique collaboration between consumer health care advocates, experts in geriatrics, a state, and a health plan to improve care for adults with both Medicare and Medicaid. Ineffective care coordination between the Medicare and Medicaid programs has led to poor care and high costs. As part of the Affordable Care Act (ACA), CMS initiated state demonstrations to align financing and care delivery. In 2016, Rhode Island launched an integrated care model. Geriatrics experts teamed up with an aging services advocate to work on the Rhode Island project. The team's objective was to bring a geriatrics lens to policy development and clinical care. The team made critical recommendations to the state and CMS during the planning stage, and geriatrics experts presented trainings to health plan care providers. The project demonstrated the potential for geriatrics experts partnering with consumer advocates to influence policy development and implementation.

Intelligent prescription system combined with a national pharmacloud for geriatrics care

INTRODUCTION

The elderly are high risk for chronic diseases and multiple drug use - two problems that make geriatric medication use more complex; as a result, the possibility of duplicate prescriptions and drug interactions increase, affecting patient safety. The objective of this study was to develop an Intelligent Prescription System Combined with a National PharmaCloud for Geriatrics Care (IPSPcG) that can reduce the occurrence of duplicate prescriptions.

METHODS

The system was implemented in a teaching hospital in Taiwan. The IPSPcG consists of two major components: (1) the collection module and (2) Intelligent Knowledge-base Module. Data on medication prescription behaviors and medication-blocking rates were gathered from January 2015 to December 2017.

RESULTS

Overall, during the study period, the IPSPcG system included 39,678 prescriptions. Antihypertensive medications were included at the highest proportion (8962, 22.6%). The system changed physician's prescription behavior (p < .001) and decreased potential duplicate prescription times (14%).

CONCLUSION

The results of this study show that integrating appropriate recommendations from drug messages can reduce repeated drug prescriptions. Due to the diversity of diseases, the diversity and accuracy of medical advice must improve. The results of the 'Comprehensive Prescription Information' provided by this system can serve as a reference for future research.