Computerized Medical History Taking for Acute Chest Pain
NCT ID: NCT03439449
Last Updated: 2025-03-04
Study Results
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Basic Information
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ACTIVE_NOT_RECRUITING
2000 participants
OBSERVATIONAL
2017-05-01
2025-12-31
Brief Summary
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Detailed Description
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Computerized, patient-entered histories will be collected with the software program CLEOS running on tablets (iPad®, Apple Inc, Cupertino, California, USA). The histories to be collected include demographic data, present illness, systems review, past medical history, prescription drugs, previous adverse drug reactions, social history, life-style risks, and family history. Histories will be collected during wait times in the ED, e.g., before patients are seen by a physician and while patients wait for reports of laboratory data collected by routine care.
Data acquired by CLEOS will be related to clinical outcomes in the acute setting and at 30 days and 1 year post-presentation for patients without documented ACS in the acute setting. Outcomes for all patients will be extracted from hospital records and national registries.
For the validation and future development of CLEOS, interviews with patients for the evaluation of patient experience regarding feasibility, acceptance, comprehensiveness and technical aspects of answering the CLEOS interview will take place within one to three months after the ED visit.
This is an exploratory study in which the calculation of the number of participating patients is based on the desired precision of sensitivity and specificity. Assuming that the prevalence is 0.5 (50 %), a power calculation with nQuery® version 7.0 (Statistical Solutions Ltd, Boston, Massachusetts, USA) shows that with 1000 patients the estimated precision of sensitivity and specificity is ±0.03 (3 %). The more the extreme the result, i.e. sensitivity or specificity approaching 0 or 1 (100 %), the higher the precision. The models will be developed in the first 50% of the data acquired (training data set) and validated in the last 50% of the data acquired (validation data set). We also intend to make estimates in subgroups. To ascertain that such estimates can be done, an even larger number of patients must be recruited. Thus, the study intends to recruit data from approximately 2000 patients.
Taken together, this study:
1. will evaluate established clinical guidelines risk scores, as populated with CLEOS data, and compare these results with data obtained during the concurrent ED visit and made available in the standard hospital medical records;
2. will assess how data collected with CLEOS in combination with established risk scores can rule-in and rule-out a diagnosis of an ACS, we will calculate sensitivity, specificity and negative and positive predictive value;
3. aim to develop new risk prediction scores for patients with chest pain, based on data collected with CLEOS; and
4. will evaluate economic aspects of routine care, as compared with management by CLEOS by using standard health economy procedures and analyses to determine the resource utilization and cost differences between management according to guidelines, based on data collected with CLEOS, and current clinical practice.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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CLEOS software program
Computer-assisted history taking program
Physician taken history
Conventional history taking by physicians
Eligibility Criteria
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Inclusion Criteria
* Fluency in Swedish or English
* Non-diagnostic first ECG and/or serum markers
* Manchester triage 2-5
* Informed consent
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Karolinska Institutet
OTHER
Responsible Party
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Thomas Kahan
Professor
Principal Investigators
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Thomas Kahan, MD, PhD
Role: STUDY_CHAIR
Karolinska Institutet
Helge Brandberg, MD
Role: STUDY_DIRECTOR
Karolinska Institutet
Sabine Koch, PhD
Role: STUDY_DIRECTOR
Karolinska Institutet
Jonas Spaak, MD, PhD
Role: STUDY_DIRECTOR
Karolinska Institutet
Carl Johan Sundberg, MD, PhD
Role: STUDY_DIRECTOR
Karolinska Institutet
David Zakim, MD, PhD
Role: STUDY_DIRECTOR
Karolinska Institutet
Locations
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Danderyd University Hospital Corp.
Stockholm, , Sweden
Countries
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References
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Brandberg H, Sundberg CJ, Spaak J, Koch S, Kahan T. Are medical history data fit for risk stratification of patients with chest pain in emergency care? Comparing data collected from patients using computerized history taking with data documented by physicians in the electronic health record in the CLEOS-CPDS prospective cohort study. J Am Med Inform Assoc. 2024 Jun 20;31(7):1529-1539. doi: 10.1093/jamia/ocae110.
Sundberg K, Adeli A, Brandberg H, Spaak J, Koch S, Sundberg CJ, Zakim D, Kahan T, Fritzell K. User experience of self-reported computerized medical history taking for acute chest pain: The Clinical Expert Operating System Chest Pain Danderyd Study. Health Expect. 2022 Dec;25(6):3053-3061. doi: 10.1111/hex.13612. Epub 2022 Sep 23.
Brandberg H, Schierenbeck F, Sundberg CJ, Koch S, Spaak J, Kahan T. Performance of computerized self-reported medical history taking and HEAR score for safe early rule-out of cardiac events in acute chest pain patients: the CLEOS-CPDS prospective cohort study. Eur Heart J Digit Health. 2024 Nov 12;6(1):104-114. doi: 10.1093/ehjdh/ztae087. eCollection 2025 Jan.
Zakim D, Brandberg H, El Amrani S, Hultgren A, Stathakarou N, Nifakos S, Kahan T, Spaak J, Koch S, Sundberg CJ. Computerized history-taking improves data quality for clinical decision-making-Comparison of EHR and computer-acquired history data in patients with chest pain. PLoS One. 2021 Sep 27;16(9):e0257677. doi: 10.1371/journal.pone.0257677. eCollection 2021.
Brandberg H, Sundberg CJ, Spaak J, Koch S, Zakim D, Kahan T. Use of Self-Reported Computerized Medical History Taking for Acute Chest Pain in the Emergency Department - the Clinical Expert Operating System Chest Pain Danderyd Study (CLEOS-CPDS): Prospective Cohort Study. J Med Internet Res. 2021 Apr 27;23(4):e25493. doi: 10.2196/25493.
Brandberg H, Kahan T, Spaak J, Sundberg K, Koch S, Adeli A, Sundberg CJ, Zakim D. A prospective cohort study of self-reported computerised medical history taking for acute chest pain: protocol of the CLEOS-Chest Pain Danderyd Study (CLEOS-CPDS). BMJ Open. 2020 Jan 21;10(1):e031871. doi: 10.1136/bmjopen-2019-031871.
Other Identifiers
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KI-CLEOS-CPDS
Identifier Type: -
Identifier Source: org_study_id
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