A New Model to Advance a Collaborative Clinical Education Placement Process: A Consortium Core Network.

Abstract

Background and purpose: The 2014 Clinical Education (CE) Summit and subsequent scholarly work prompted development of collaborative, mutually beneficial, innovative processes to mitigate CE challenges and inefficiencies. Contemporary practice advocates for collaboration among physical therapist (PT) academic programs (Programs) and clinical partners (Partners) to create a sustainable placement process with mutual benefits for stakeholders. The purpose of this article is to describe the design and implementation of the Ohio Kentucky Consortium of Physical Therapy Educators (Consortium) Consortium Core Network's (CCN) centralized PT CE Placement Process (PT-CEPP) model and share participants' experience perspectives.

Methods/model description and evaluation: The Consortium established the CCN and a Steering Committee, representing stakeholders, and designed a novel 5-phase centralized PT-CEPP model, in Exxat, an educational management platform. The phases included Request, Offer, Placement, Reallocation, and Confirmation and Release. A postimplementation Qualtrics survey was disseminated to obtain participant perspectives. Open-text survey responses were compiled, reviewed, thematically analyzed, and presented in this article (part 1). The resulting quantitative CCN PT-CEPP analyses were deferred to a companion article (part 2).

Outcomes: The CCN participation included invited Partners (n = 101/364; 28%) and Programs (n = 14/14; 100%). During initial PT-CEPP implementation, 1,005 offers resulted in 549 CE placements. Participant perspectives from 20 of 101 SCCEs (20%) and eight of 14 DCEs (57%) were dichotomized into "Benefits and What Worked Well" and "Challenges and What Did Not Work Well." Perspectives were unique to participant roles, with partners valuing "centralization" and Programs "process."

Discussion and conclusions: Lessons gleaned from the PT-CEPP paradigm shift to a CCN-centralized model may optimize processes and improve sustainability with future iterations.