Sequential implementation of the EQUIPPED geriatric medication safety program as a learning health system.

OBJECTIVES: To present the three-site EQUIPPED academic health system research collaborative, which engaged in sequential implementation of the EQUIPPED medication safety program, as a learning health system; to understand how the organizations worked together to build resources for program scale-up. DESIGN: Following the Replicating Effective Programs framework, we analyzed content from implementation teams' focus groups, local and cross-site meeting minutes and sites' organizational profiles to develop an implementation package. SETTING: Three academic emergency departments that each implemented EQUIPPED over three successive years. PARTICIPANTS: Implementation team members at each site participating in focus groups (n = 18), local meetings during implementation years, and cross-site meetings during all years of the projects. INTERVENTION(S): EQUIPPED provides Emergency Department providers with clinical decision support (education, order sets, and feedback) to reduce prescribing of potentially inappropriate medications to adults aged 65 years and older who received a prescription at time of discharge. MAIN OUTCOME MEASURE(S): Implementation process components assembled through successive implementation. RESULTS: Each site had clinical and environmental characteristics to be addressed in implementing the EQUIPPED program. We identified 10 process elements and describe lessons for each. Lessons guided the compilation of the EQUIPPED intervention package or toolkit, including the EQUIPPED logic model. CONCLUSIONS: Our academic health system research collaborative addressing medication safety through sequential implementation is a learning health system that can serve as a model for other quality improvement projects with multiple sites. The network produced an implementation package that can be vetted, piloted, evaluated, and finalized for large-scale dissemination in community-based settings.

Early prescribing outcomes after exporting the EQUIPPED medication safety improvement programme.

Enhancing quality of prescribing practices for older adults discharged from the Emergency Department (EQUIPPED) aims to reduce the monthly proportion of potentially inappropriate medications (PIMs) prescribed to older adults discharged from the ED to 5% or less. We describe prescribing outcomes at three academic health systems adapting and sequentially implementing the EQUIPPED medication safety programme.EQUIPPED was adapted from a model developed in the Veterans Health Administration (VA) and sequentially implemented in one academic health system per year over a 3-year period. The monthly proportion of PIMs, as defined by the 2015 American Geriatrics Beers Criteria, of all medications prescribed to adults aged 65 years and older at discharge was assessed for 6 months preimplementation until 12 months postimplementation using a generalised linear time series model with a Poisson distribution.The EQUIPPED programme was translated from the VA health system and its electronic medical record into three health systems each using a version of the Epic electronic medical record. Adaptation occurred through local modification of order sets and in the generation and delivery of provider prescribing reports by local champions. Baseline monthly PIM proportions 6 months prior to implementation at the three sites were 5.6% (95% CI 5.0% to 6.3%), 5.8% (95% CI 5.0% to 6.6%) and 7.3% (95% CI 6.4% to 9.2%), respectively. Evaluation of monthly prescribing including the twelve months post-EQUIPPED implementation demonstrated significant reduction in PIMs at one of the three sites. In exploratory analyses, the proportion of benzodiazepine prescriptions decreased across all sites from approximately 17% of PIMs at baseline to 9.5%-12% postimplementation, although not all reached statistical significance.EQUIPPED is feasible to implement outside the VA system. While the impact of the EQUIPPED model may vary across different health systems, results from this initial translation suggest significant reduction in specific high-risk drug classes may be an appropriate target for improvement at sites with relatively low baseline PIM prescribing rates.