Diagnosis Assessment With Diaana #3

September 17, 2021 updated by: Adrien Schwitzguebel

Differential Diagnosis Assessment in Ambulatory Care With an Automated Medical History-Taking Device: A Confirmatory Pseudo-Randomized Study With Accurate Gold-standard Diagnosis

Single-center, unblinded, 2:1 parallel pseudo-randomized efficacy trial.

In the intervention group only, resident physicians will be assisted by the automated medical history-taking device "Diaana" during their consultations in outpatient ambulatory unit of the Geneva University Hospital.

In both groups, the differential diagnosis of the resident physician will be compared to the gold-standard diagnosis of the senior physician.

Study Overview

Detailed Description

Automated medical history-taking devices (AMHTD) are emerging tools with the potential to increase the quality of medical consultations by providing physicians with an exhaustive, high-quality, standardized anamnesis and differential diagnosis. In this study, the investigators aimed to establish whether an AMHTD of interest, "Diaana", allowed the physician to establish a more precise differential diagnosis.

A single-center, unblinded, 2:1 parallel pseudo-randomized efficacy trial will be performed. A consultation follow-up is organized at 4-6 weeks, were the gold-standard diagnosis is established by the senior physician. The study will take place in the emergency outpatient unit of La Colline Hospital (Geneva, Switzerland) and include patients suffering from symptoms covered by Diaana.

Patients in the intervention group will fulfill Dianna. Then, the resident physician will read Diaana summary, perform his consultation, and fulfill case report form, including his differential diagnosis. Then, the senior physician will see the patient and establish the gold-standard diagnosis. In the control group, the residents will directly establish a differential diagnosis, without the help of Diaana.

Study Type

Interventional

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Geneva, Switzerland, 1206
        • La Colline Hospital Outpatient Unit

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

16 years to 65 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Patients presenting to the emergency outpatient unit of La Colline hospital (Geneva, Switzerland)
  • Patients suffering from symptoms localized to the superior or inferior member, the back, hand the chest wall.

Exclusion Criteria:

  • Strictly dermatologic concerns
  • Toes trauma (because the diagnosis of those conditions is generally obvious)
  • Medical condition considered as urgent
  • Inability to complete de digilatized Diaana form (sight problems, language, inability to use a tablet computer)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Diaana
  1. The patient fulfill Diaana
  2. The resident physician reads the Diaana summary
  3. The resident physician see the patient in consultation. He establishes his DD without having access to the complementray exams (blood tests, x-ray, ...)
  4. The senior physician see the patient at the follow-up consultation. He establishes the gold-standard diagnosis highlighted by complementary exams and imagery.
Diaana, the AMHTD used, functions as follows: on the basis of an interactive questionnaire completed by the patient before the consultation, it performs an exhaustive anamnesis focused on the problem and proposes a panel of DDs with a high sensitivity. The artificial reasoning system of "Diaana" mimics how a specialist physician would reason to establish a DD. The information transmitted is in an easy-to-use form for the physician that includes a summary of the anamnesis centered on relevant elements from the questionnaire and a list of possible diagnoses with their emergency level, potential contributing factors, and first-line management proposals.
Other Names:
  • Automated medical history-taking device (AMHTD)
No Intervention: Control
  1. The resident physician see the patient in consultation. He establishes his DD without having access to the complementray exams (blood tests, x-ray, ...)
  2. The senior physician see the patient at the follow-up consultation. He establishes the gold-standard diagnosis highlighted by complementary exams and imagery.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Accuracy of the diagnosis established by the resident physician
Time Frame: At day 0

The resident physician will select up to 5 diagnose in an exhaustive list, from the most to the least relevant.

The accuracy of the diagnosis established will be measured as following:

  • 100% if the gold-standard diagnosis is in position#1 into the resident diagnosis list
  • 80% if the gond-standard diagnosis is in position#2
  • 60% in position #3
  • 40% in position #4
  • 20% in position #5
  • 0% if the gold-standard diagnosis absent of the resident diagnosis list

A higher percentage is considered as a better outcome.

At day 0

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Consultation time
Time Frame: At day 0
The resident's consultation (with and without the patient) will be measured by the research coordinator. Consultation time will be compared between groups. A shorter consultation time will be considered as a better outcome.
At day 0
Patient satisfaction: Likert 1-4 scale
Time Frame: At day 0
Into the experimental group, the patient's satisfaction will be evalatued on a Likert 1-4 scale. 1= fully dissatisfied; 2 = partially dissatisfied; 3 = partially satisfied; 4 = fully satisfied A higher score is considered as a better outcome.
At day 0
Differential diagnosis established by Diaana
Time Frame: At day 0
The Diaana system will select diagnoses in an exhaustive list. The percentage of cases were the gold-standard diagnosis is present into the differential diagnosis list will be measured. A higher percentage is a better outcome.
At day 0

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

January 31, 2020

Primary Completion (Anticipated)

January 31, 2020

Study Completion (Anticipated)

January 31, 2020

Study Registration Dates

First Submitted

May 3, 2019

First Submitted That Met QC Criteria

May 6, 2019

First Posted (Actual)

May 7, 2019

Study Record Updates

Last Update Posted (Actual)

September 23, 2021

Last Update Submitted That Met QC Criteria

September 17, 2021

Last Verified

October 1, 2019

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • COLLINE_Diaana

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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