Evidence map›Paper›PMID 39163594›Full record

Trial reportJournal of medical Internet research2024

Comparison of Two Symptom Checkers (Ada and Symptoma) in the Emergency Department: Randomized, Crossover, Head-to-Head, Double-Blinded Study.

Johannes Knitza, Ragip Hasanaj, Jonathan Beyer, Franziska Ganzer, Anna Slagman, Myrto Bolanaki, Hendrik Napierala, Malte L Schmieding, Nizam Al-Zaher, Till Orlemann and 7 more

Abstract readRandomized Controlled TrialComparative Study
In one paragraph

Trial report in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Johannes KnitzaInstitute for Digital Medicine, University Hospital Giessen, Philipps University, Marburg, Germany.ORCID 0000-0001-9695-0657
Ragip HasanajDepartment of Cardiology, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0009-0003-1270-1680
Jonathan BeyerDepartment of Cardiology, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0009-0000-5284-174X
Franziska GanzerDepartment of Cardiology, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0009-0005-9141-443X
Anna SlagmanEmergency and Acute Medicine and Health Services Research in Emergency Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-2608-0347
Myrto BolanakiEmergency and Acute Medicine and Health Services Research in Emergency Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-2032-8559
Hendrik NapieralaInstitute of General Practice and Family Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-1542-2877
Malte L SchmiedingInstitute of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-5844-7791
Nizam Al-ZaherDepartment of Cardiology, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0009-0005-7473-7974
Till OrlemannDeutsches Zentrum für Immuntherapie, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0002-9856-4415
Felix MuehlensiepenUniversité Grenoble Alpes, Grenoble, France.ORCID 0000-0001-8571-7286
Julia GreenfieldInstitute for Digital Medicine, University Hospital Giessen, Philipps University, Marburg, Germany.ORCID 0000-0002-2750-0393
Nicolas VuillermeUniversité Grenoble Alpes, Grenoble, France.ORCID 0000-0003-3773-393X
Sebastian KuhnInstitute for Digital Medicine, University Hospital Giessen, Philipps University, Marburg, Germany.ORCID 0000-0002-8031-2973
Georg SchettDepartment of Internal Medicine 3, Friedrich-Alexander University Erlangen-Nürnberg, Universitätsklinikum Erlangen, Erlangen, Germany.ORCID 0000-0001-8740-9615
Stephan AchenbachDepartment of Cardiology, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0002-7596-095X
Katharina DechantDepartment of Cardiology, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0009-0004-5979-5343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergency departments (EDs) are frequently overcrowded and increasingly used by nonurgent patients. Symptom checkers (SCs) offer on-demand access to disease suggestions and recommended actions, potentially improving overall patient flow. Contrary to the increasing use of SCs, there is a lack of supporting evidence based on direct patient use.

objectiveThis study aimed to compare the diagnostic accuracy, safety, usability, and acceptance of 2 SCs, Ada and Symptoma.

methodsA randomized, crossover, head-to-head, double-blinded study including consecutive adult patients presenting to the ED at University Hospital Erlangen. Patients completed both SCs, Ada and Symptoma. The primary outcome was the diagnostic accuracy of SCs. In total, 6 blinded independent expert raters classified diagnostic concordance of SC suggestions with the final discharge diagnosis as (1) identical, (2) plausible, or (3) diagnostically different. SC suggestions per patient were additionally classified as safe or potentially life-threatening, and the concordance of Ada's and physician-based triage category was assessed. Secondary outcomes were SC usability (5-point Likert-scale: 1=very easy to use to 5=very difficult to use) and SC acceptance net promoter score (NPS).

resultsA total of 450 patients completed the study between April and November 2021. The most common chief complaint was chest pain (160/437, 37%). The identical diagnosis was ranked first (or within the top 5 diagnoses) by Ada and Symptoma in 14% (59/437; 27%, 117/437) and 4% (16/437; 13%, 55/437) of patients, respectively. An identical or plausible diagnosis was ranked first (or within the top 5 diagnoses) by Ada and Symptoma in 58% (253/437; 75%, 329/437) and 38% (164/437; 64%, 281/437) of patients, respectively. Ada and Symptoma did not suggest potentially life-threatening diagnoses in 13% (56/437) and 14% (61/437) of patients, respectively. Ada correctly triaged, undertriaged, and overtriaged 34% (149/437), 13% (58/437), and 53% (230/437) of patients, respectively. A total of 88% (385/437) and 78% (342/437) of participants rated Ada and Symptoma as very easy or easy to use, respectively. Ada's NPS was -34 (55% [239/437] detractors; 21% [93/437] promoters) and Symptoma's NPS was -47 (63% [275/437] detractors and 16% [70/437]) promoters.

conclusionsAda demonstrated a higher diagnostic accuracy than Symptoma, and substantially more patients would recommend Ada and assessed Ada as easy to use. The high number of unrecognized potentially life-threatening diagnoses by both SCs and inappropriate triage advice by Ada was alarming. Overall, the trustworthiness of SC recommendations appears questionable. SC authorization should necessitate rigorous clinical evaluation studies to prevent misdiagnoses, fatal triage advice, and misuse of scarce medical resources.

trial registrationGerman Register of Clinical Trials DRKS00024830; https://drks.de/search/en/trial/DRKS00024830.

Indexed as

Emergency Service, HospitalTriageAdultAgedCross-Over StudiesDouble-Blind MethodFemaleHumansMaleMiddle Agedapps, health service researchdecision support systemdiagnostic accuracyeHealthemergencysymptom checkertriage

Identifiers

PMID39163594
PMCPMC11372320

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.