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Optimizing Proton Pump Inhibitors (PPI) Prescribing With EHR-Based Decision Support

Quality Improvement Initiative Leveraging Electronic Healthcare Records to Reduce Inappropriate Proton Pump Inhibitors (PPI) Prescribing at UCLA.

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06998966
Enrollment
372
Registered
2025-05-31
Start date
2026-06-01
Completion date
2027-06-01
Last updated
2026-04-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Drug Utilization Review, Physician's Practice Patterns, Prescribing Patterns, Physician

Keywords

Proton Pump Inhibitors, Quality Improvement, Healthcare Utilization, Clinical Decision Support, resource utilization

Brief summary

The proposed study is a quality improvement initiative designed to rigorously evaluate new variations of UCLA Health's proton pump inhibitor (PPI) order panels, building on internal quality improvement efforts to optimize prescribing workflows within the Electronic Health Record (EHR). PPIs are notoriously overprescribed, and the study team has identified that the CareConnect default prescription setting of 90 days with three refills (360 pill days) exceed standard guidelines (in most cases, 60 pill days). It is unclear whether this is the most appropriate workflow. Given that deprescribing PPIs carries minimal risk for most patients, this initiative will assess whether modifying defaulted prescription lengths influences prescribing behavior while ensuring physicians retain full decision-making authority. This evaluation of PPI order panel variations is embedded within UCLA's existing EHR system, ensuring that changes are tested pragmatically within routine workflows. The study aims to determine whether small adjustments to the order panel can better align prescribing patterns with clinical best practices while maintaining physician autonomy.

Interventions

BEHAVIORALAlgorithmic Defaulting (Indication-Based Default)

PPIs are frequently overprescribed, and the CareConnect default prescription setting of 90 days with three refills (360 pill days) exceed standard guidelines (in most cases, 60 pill days). It is unclear whether this is the most appropriate workflow. Given that deprescribing PPIs carries minimal risk for most patients, this initiative will assess whether modifying defaulted prescription lengths influences prescribing behavior while ensuring physicians retain full decision-making authority.

BEHAVIORALActive Physician Choice

PPIs are frequently overprescribed, and the CareConnect default prescription setting of 90 days with three refills (360 pill days) exceed standard guidelines (in most cases, 60 pill days). It is unclear whether this is the most appropriate workflow. Given that deprescribing PPIs carries minimal risk for most patients, this initiative will assess whether requiring providers to actively select prescription lengths influences prescribing behavior while ensuring physicians retain full decision-making authority.

Sponsors

University of California, Los Angeles
Lead SponsorOTHER
National Institute on Aging (NIA)
CollaboratorNIH

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE (Caregiver, Investigator)

Eligibility

Sex/Gender
ALL
Age
50 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* UCLA Health primary care physicians who have a clinical full-time equivalency of at least 25%.

Exclusion criteria

* Physicians with a clinical full-time equivalency of less than 25%

Design outcomes

Primary

MeasureTime frameDescription
Inappropriate Pill Days12 monthsThe study will take place within the existing UCLA Health Electronic Health Record (EHR) infrastructure. Data will be automatically collected from the EHR, focusing on pill days in excess of guidelines. The trial team will validate an eMeasure of inappropriate prescriptions as the primary outcome.

Secondary

MeasureTime frameDescription
Prescription Discontinuations12 monthsThe study will take place within the existing UCLA Health EHR infrastructure. Data will be automatically collected from the EHR, focusing on prescriptions that have been discontinued for 90 days or more.
Prescription Refills12 monthsThe study will take place within the existing UCLA Health EHR infrastructure. Data will be automatically collected from the EHR, focusing on prescriptions that are refilled.
Overall Average Pill Days12 monthsThe study will take place within the existing UCLA Health EHR infrastructure. Data will be automatically collected from the EHR, focusing on pill days overall.
GI Bleeding Hospitalization12 monthsBalancing measure to ensure reducing PPIs does not lead to harm.

Countries

United States

Contacts

CONTACTKatelyn Clinical Research Coordinator
katenguyen@mednet.ucla.edu310-267-5250

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 30, 2026