Impact of digitally acquired peer diagnostic input on diagnostic confidence in outpatient cases: A pragmatic randomized trial

Author:

Khoong Elaine C12ORCID,Fontil Valy12ORCID,Rivadeneira Natalie A12,Hoskote Mekhala3,Nundy Shantanu45,Lyles Courtney R12ORCID,Sarkar Urmimala12

Affiliation:

1. Division of General Internal Medicine, Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, California, USA

2. Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, California, USA

3. Berkeley School of Public Health and UCSF School of Medicine, University of California, Berkeley–University of California, San Francisco Joint Medical Program, Berkeley, California, USA

4. Milken Institute School of Public Health, Department of Health Policy and Management, George Washington University, Washington, DC, USA

5. Accolade, Inc. Plymouth Meeting, Pennsylvania, USA

Abstract

Abstract Objective The study sought to evaluate if peer input on outpatient cases impacted diagnostic confidence. Materials and Methods This randomized trial of a peer input intervention occurred among 28 clinicians with case-level randomization. Encounters with diagnostic uncertainty were entered onto a digital platform to collect input from ≥5 clinicians. The primary outcome was diagnostic confidence. We used mixed-effects logistic regression analyses to assess for intervention impact on diagnostic confidence. Results Among the 509 cases (255 control; 254 intervention), the intervention did not impact confidence (odds ratio [OR], 1.46; 95% confidence interval [CI], 0.999-2.12), but after adjusting for clinician and case traits, the intervention was associated with higher confidence (OR, 1.53; 95% CI, 1.01-2.32). The intervention impact was greater in cases with high uncertainty (OR, 3.23; 95% CI, 1.09- 9.52). Conclusions Peer input increased diagnostic confidence primarily in high-uncertainty cases, consistent with findings that clinicians desire input primarily in cases with continued uncertainty.

Funder

Gordon and Betty Moore Foundation

Human Diagnosis Project

National Heart Lung and Blood Institute

National Institutes of Health

National Center for Advancing Translational Sciences of the NIH

National Institute for Health’s National Research Service Award

National Cancer Institute

NIH

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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