Jing Luo , Rachel Wong , Tanvi Mehta , Jeremy I. Schwartz , Jeremy A. Epstein , Erika Smith , Nitu Kashyap , Fasika A. Woreta , Kristian Feterik , Michael J. Fliotsos , Bradley H. Crotty
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引用次数: 0
Abstract
Background
Medication price transparency tools are increasingly available, but data on their use, and their potential effects on prescribing behavior, patient out of pocket (OOP) costs, and clinician workflow integration, is limited.
Objective
To describe the implementation experiences with real-time prescription benefit (RTPB) tools at 5 large academic medical centers and their early impact on prescription ordering.
Design
and Participants: In this cross-sectional study, we systematically collected information on the characteristics of RTPB tools through discussions with key stakeholders at each of the five organizations. Quantitative encounter data, prescriptions written, and RTPB alerts/estimates and prescription adjustment rates were obtained at each organization in the first three months after “go-live” of the RTPB system(s) between 2019 and 2020.
Differences were noted with respect to implementation characteristics related to RTPB tools. All of the organizations with the exception of one chose to display OOP cost estimates and suggested alternative prescriptions automatically. Differences were also noted with respect to a patient cost threshold for automatic display. In the first three months after “go-live,” RTPB estimate retrieval rates varied greatly across the five organizations, ranging from 8% to 60% of outpatient prescriptions. The prescription adjustment rate was lower, ranging from 0.1% to 4.9% of all prescriptions ordered.
Conclusions
In this study reporting on the early experiences with RTPB tools across five academic medical centers, we found variability in implementation characteristics and population coverage. In addition RTPB estimate retrieval rates were highly variable across the five organizations, while rates of prescription adjustment ranged from low to modest.
期刊介绍:
HealthCare: The Journal of Delivery Science and Innovation is a quarterly journal. The journal promotes cutting edge research on innovation in healthcare delivery, including improvements in systems, processes, management, and applied information technology.
The journal welcomes submissions of original research articles, case studies capturing "policy to practice" or "implementation of best practices", commentaries, and critical reviews of relevant novel programs and products. The scope of the journal includes topics directly related to delivering healthcare, such as:
● Care redesign
● Applied health IT
● Payment innovation
● Managerial innovation
● Quality improvement (QI) research
● New training and education models
● Comparative delivery innovation