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Application of Behavioral Economics to Improve eConsult

Application of Behavioral Economics to Improve the Quality and Value of eConsult Specialty Reviews

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03784950
Enrollment
220
Registered
2018-12-24
Start date
2017-03-01
Completion date
2018-08-31
Last updated
2018-12-24

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

Conditions

Quality of Health Care

Brief summary

Using behavioral economics, the study objective is to increase the efficiency, quality, and timeliness of care for Los Angeles County (LAC) Department of Health Services (DHS) patients by nudging specialists toward more effective use of eConsult, a web-based consultation and communication portal for Primary Care Providers (PCPs) and specialists, improving access for patients in greatest need of specialty care.

Detailed description

Historically, the Los Angeles County (LAC) Department of Health Services (DHS) Safety Net system has faced challenges in delivering specialty services that are timely, geographically equitable, and coordinated in a patient centered manner. Recently, LACDHS improved infrastructure through implementation of eConsult, a web-based consultation and communication portal for Primary Care Providers (PCPs) and specialists, improving access for patients in greatest need of specialty care. The study investigators will conduct a pragmatic randomized trial with the goal of increasing the efficiency, quality, and timeliness of care for LACDHS patients by nudging specialists toward more effective use of eConsult. If successful, these nudges may reduce the number and increase the value of face-to-face consults.

Interventions

BEHAVIORALRating tool

eConsult Specialty Reviewers are asked to rate the quality of other specialists' recently completed eConsult exchanges on the following four dimensions: 1) efforts to elicit additional information from PCPs, when needed; 2) medical decision making; 3) inclusion of educational content for PCPs, when appropriate; 4) perceived effect on the PCP-specialist relationship (i.e., overall tone of the eConsult exchange)

BEHAVIORALFeedback

eConsult Specialty Reviewers receive confidential feedback via email on their performance (top performer vs not a top performer) as compared to colleagues in their specialty. Feedback is based on other reviewers ratings of their eConsult exchanges on the following four dimensions: 1) efforts to elicit additional information from PCPs, when needed; 2) medical decision making; 3) inclusion of educational content for PCPs, when appropriate; 4) perceived effect on the PCP-specialist relationship (i.e., overall tone of the eConsult exchange)

Sponsors

Los Angeles County Department of Public Health
CollaboratorOTHER_GOV
University of Southern California
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
SEQUENTIAL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

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

Inclusion criteria

* LACDHS providers who are eConsult system users

Exclusion criteria

* None

Design outcomes

Primary

MeasureTime frameDescription
Rating - Medical Decision MakingBaseline to Post-Intervention, up to 12 monthsPeers' ratings of Medical Decision Making in Specialists' responses to PCPs
Rating - Application of Expected PracticesBaseline to Post-Intervention, up to 12 monthsPeers' ratings of Expected Practices in Specialists' responses to PCPs
Rating - Relationship BuildingBaseline to Post-Intervention, up to 12 monthsPeers' ratings Relationship Building in Specialists' responses to PCPs
Rating - Expert ElicitationBaseline to Post-Intervention, up to 12 monthsPeers' ratings of Specialists' skill in elicitation of information from PCPs
Rating - Educational ValueBaseline to Post-Intervention, up to 12 monthsPeers' ratings of Educational Value of eConsults

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 21, 2026