20-11-2023 | Original Research
Catalyzing System Change: 100 Quality Improvement Projects in 1000 Days
Authors:
Amelia Sattler, MD, Anuradha Phadke, MD, Jake Mickelsen, MBA, Timothy Seay-Morrison, EdD, LCSW, Heather Filipowicz, MS, RD, Davis Chhoa, BA, Malathi Srinivasan, MD
Published in:
Journal of General Internal Medicine
Login to get access
Abstract
Background
Health system change requires quality improvement (QI) infrastructure that supports frontline staff implementing sustainable innovations. We created an 8-week rapid-cycle QI training program, Stanford Primary Care-Project Engagement Platform (PC-PEP), open to patient-facing primary care clinicians and staff.
Objective
Examine the feasibility and outcomes of a scalable QI program for busy practicing providers and staff in an academic medical center.
Design
Program evaluation.
Participants
A total of 172 PCPH team members: providers (n = 55), staff (n = 99), and medical learners (n = 18) in the Stanford Division of Primary Care and Population Health (PCPH) clinics, 2018–2021.
Main Measures
We categorized projects by the Institute for Healthcare Improvement’s (IHI) Quintuple Aim (QA): better health, better patient experience, lower cost of care, better care team experience, and improved equity/inclusion. We assessed project progress with a modified version of The Ottawa Hospital Innovation Framework: step 1 (identified root causes), step 2 (designed/tested interventions), step 3 (assessed project outcome), step 4 (met project goal with target group), step 5A (intervention(s) spread within clinic), step 5B (intervention(s) spread to different setting). Participants rated post-participation QI self-efficacy.
Key Results
Within 1000 days, 172 unique participants completed 104 PC-PEP projects. Most projects aimed to improve patient health (55%) or care team experience (23%). Among projects, 9% reached step 1, 8% step 2, 16% step 3, 26% step 4, 21% step 5A, and 20% step 5B. Learner involvement increased likelihood of scholarly products (47% vs 10%). Forty-six of 47 (98%) survey respondents reported improved QI self-efficacy. Medical assistants, more so than physicians, reported feeling acknowledged by the health system for their QI efforts (100% vs 61%).
Conclusions
With appropriate QI infrastructure, scalable QI training models like Stanford PC-PEP can empower frontline workers to create meaningful changes across the IHI QA.