Testing Pediatric Rheumatology Diagnostic Decision Support in Clinical Use
NCT ID: NCT04856956
Last Updated: 2022-10-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
15 participants
INTERVENTIONAL
2021-04-20
2023-12-31
Brief Summary
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Detailed Description
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* Main objective: To assess if the use of the DDSS by trainees and nurse practitioners can improve their diagnostic performance in developing a differential diagnosis and plan in real clinical use. (Studies have shown in prior research that the use of the DDSS does so for case vignettes, lowering diagnostic errors of trainees by 75%). The study will compare how closely the differential diagnosis and plan of the trainees and nurse practitioners approximate those of their senior Pediatric Rheumatology attending physician colleagues.
* Secondary objective: To assess how frequently the differential diagnosis of the trainees and nurse practitioners includes the definitive diagnosis by doing a manual chart review weeks after the visit. (Studies have shown in prior research that if the definitive diagnosis is in the initial differential diagnosis, the right tests get ordered, and diagnostic errors are avoided.)
The design is a parallel one, comparing subjects (trainees and nurse practitioners) using the DDSS (Intervention Arm) to subjects who do not use the DDSS (Control Arm). In both study arms, subjects may use all other traditional resources. Arm assignment will be by patient case rather than trainee / nurse practitioner to reduce variation due to each subject's different capabilities (years of training and familiarity with pediatric rheumatology).
Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
DOUBLE
Study Groups
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Intervention (Use of diagnostic decision support software)
Trainee or nurse practitioner sees patient and uses diagnostic decision support software in developing their differential diagnosis and plan
Diagnostic decision support software
Comparing use of decision support group (intervention group) to use only of common literature (control group) among pediatric trainees diagnosing patients with possible rheumatologic disorder
Control (Current process)
Trainee or nurse practitioner sees patient but doesn't use diagnostic decision support software in developing their differential diagnosis and plan
No interventions assigned to this group
Interventions
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Diagnostic decision support software
Comparing use of decision support group (intervention group) to use only of common literature (control group) among pediatric trainees diagnosing patients with possible rheumatologic disorder
Eligibility Criteria
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Inclusion Criteria
* Rheumatology Attendings for these new patient visits will also be asked to participate but will be supervisory participants in the study, not subjects.
18 Years
65 Years
ALL
Yes
Sponsors
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Boston Children's Hospital
OTHER
PhenoSolve, LLC
INDUSTRY
Responsible Party
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Principal Investigators
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Michael M Segal, MD PhD
Role: STUDY_CHAIR
PhenoSolve, LLC
Robert P Sundel, MD
Role: PRINCIPAL_INVESTIGATOR
Boston Children's Hospital
Locations
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Boston Children's Hospital
Boston, Massachusetts, United States
Countries
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References
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Segal MM. Mobile medical computing driven by the complexity of neurologic diagnosis. J Child Neurol. 2006 Jul;21(7):595-9. doi: 10.1177/08830738060210071601.
Segal MM, Athreya B, Son MB, Tirosh I, Hausmann JS, Ang EY, Zurakowski D, Feldman LK, Sundel RP. Evidence-based decision support for pediatric rheumatology reduces diagnostic errors. Pediatr Rheumatol Online J. 2016 Dec 13;14(1):67. doi: 10.1186/s12969-016-0127-z.
Staffa SJ, Zurakowski D. Strategies in adjusting for multiple comparisons: A primer for pediatric surgeons. J Pediatr Surg. 2020 Sep;55(9):1699-1705. doi: 10.1016/j.jpedsurg.2020.01.003. Epub 2020 Jan 23.
Segal MM, Williams MS, Gropman AL, Torres AR, Forsyth R, Connolly AM, El-Hattab AW, Perlman SJ, Samanta D, Parikh S, Pavlakis SG, Feldman LK, Betensky RA, Gospe SM Jr. Evidence-based decision support for neurological diagnosis reduces errors and unnecessary workup. J Child Neurol. 2014 Apr;29(4):487-92. doi: 10.1177/0883073813483365. Epub 2013 Apr 10.
Other Identifiers
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BCH.SC.02
Identifier Type: -
Identifier Source: org_study_id
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