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)

Helge Brandberg, Thomas Kahan, Jonas Spaak, Kay Sundberg, Sabine Koch, Athena Adeli, Carl Johan Sundberg, David Zakim, Helge Brandberg, Thomas Kahan, Jonas Spaak, Kay Sundberg, Sabine Koch, Athena Adeli, Carl Johan Sundberg, David Zakim

Abstract

Introduction: Management of acute chest pain focuses on diagnosis or safe rule-out of an acute coronary syndrome (ACS). We aim to determine the additional value of self-reported computerised history taking (CHT).

Methods and analysis: Prospective cohort study design with self-reported, medical histories collected by a CHT programme (Clinical Expert Operating System, CLEOS) using a tablet. Women and men presenting with acute chest pain to the emergency department at Danderyd University Hospital (Stockholm, Sweden) are eligible. CHT will be compared with standard history taking for completeness of data required to calculate ACS risk scores such as History, ECG, Age, Risk factors and Troponin (HEART), Global Registry of Acute Coronary Events (GRACE), and Thrombolysis in Myocardial Infarction (TIMI). Clinical outcomes will be extracted from hospital electronic health records and national registries. The CLEOS-Chest Pain Danderyd Study project includes (1) a feasibility study of CHT, (2) a validation study of CHT as compared with standard history taking, (3) a paired diagnostic accuracy study using data from CHT and established risk scores, (4) a clinical utility study to evaluate the impact of CHT on the management of chest pain and the use of resources, and (5) data mining, aiming to generate an improved risk score for ACS. Primary outcomes will be analysed after 1000 patients, but to allow for subgroup analysis, the study intends to recruit 2000 or more patients. This ongoing project may lead to new and more effective ways for collecting thorough, accurate medical histories with important implications for clinical practice.

Ethics and dissemination: This study has been reviewed and approved by the Stockholm Regional Ethical Committee (now Swedish Ethical Review Authority). Results will be published, regardless of the outcome, in peer-reviewed international scientific journals.

Trial registration number: This study is registered at https://www.clinicaltrials.gov (unique identifier: NCT03439449).

Keywords: coronary heart disease; health informatics; information management; medical history; myocardial infarction; risk management.

Conflict of interest statement

Competing interests: DZ is the inventor on US patents for technology related to the CLEOS program. All patent rights and copyrights to technology, language, images and knowledge content are assigned without royalty rights by DZ to Karolinska Institutet, Stockholm, Sweden, which is a public university. Apart from Karolinska Institutet and its subsidiaries, no individuals or companies may be owners or receive royalties or other revenue from use of CLEOS technology, language, images, knowledge content or from clinical insights and/or computer algorithms generated from analysis of data acquired by the program. All CLEOS-CPDS steering group members (see above) will have full access to the final trial data set.

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Overview of planned studies. CHT, computerised history taking; Phys, history taking by physicians.
Figure 2
Figure 2
Overview of the emergency department (ED) flow from arrival to referral. Broken lines indicate patients who will not be eligible. CCU, cardiac care unit; PCI, percutaneous coronary intervention.
Figure 3
Figure 3
Example of the presentations of questions in Clinical Expert Operating System on the tablet.

References

    1. Pitts SR, Niska RW, Xu J, et al. . National Hospital ambulatory medical care survey: 2006 emergency department summary. Natl Health Stat Report 2008:1–38.
    1. World Health Organization Global health Observatory (GHO) data. World Health Organization, 2019.
    1. Roffi M, Patrono C, Collet J-P, et al. . 2015 ESC guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation: Task force for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation of the European Society of cardiology (ESC). Eur Heart J 2016;37:267–315. 10.1093/eurheartj/ehv320
    1. Ekelund U, Nilsson H-J, Frigyesi A, et al. . Patients with suspected acute coronary syndrome in a university hospital emergency department: an observational study. BMC Emerg Med 2002;2:1 10.1186/1471-227X-2-1
    1. Amsterdam EA, Wenger NK, Brindis RG, et al. . 2014 AHA/ACC guideline for the management of patients with non-ST-elevation acute coronary syndromes: Executive summary: a report of the American College of Cardiology/American heart association Task force on practice guidelines. Circulation 2014;130:2354–94. 10.1161/CIR.0000000000000133
    1. Swap CJ, Nagurney JT. Value and limitations of chest pain history in the evaluation of patients with suspected acute coronary syndromes. JAMA 2005;294:2623–9. 10.1001/jama.294.20.2623
    1. Nieman K, Hoffmann U. Cardiac computed tomography in patients with acute chest pain. Eur Heart J 2015;36:906–14. 10.1093/eurheartj/ehv034
    1. Six AJ, Cullen L, Backus BE, et al. . The heart score for the assessment of patients with chest pain in the emergency department: a multinational validation study. Crit Pathw Cardiol 2013;12:121–6. 10.1097/HPC.0b013e31828b327e
    1. Fox KA, Dabbous OH, Goldberg RJ, et al. . Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: prospective multinational observational study (GRACE). BMJ 2006;333:1091 10.1136/bmj.38985.646481.55
    1. Antman EM, Cohen M, Bernink PJ, et al. . The TIMI risk score for unstable angina/non-ST elevation MI: a method for prognostication and therapeutic decision making. JAMA 2000;284:835–42. 10.1001/jama.284.7.835
    1. Cox JL, Zitner D, Courtney KD, et al. . Undocumented patient information: an impediment to quality of care. Am J Med 2003;114:211–6. 10.1016/S0002-9343(02)01481-X
    1. Herrick DB, Nakhasi A, Nelson B, et al. . Usability characteristics of self-administered computer-assisted interviewing in the emergency department. Appl Clin Inform 2013;4:276–92. 10.4338/ACI-2012-09-RA-0034
    1. Corrigan M, McWilliams R, Kelly KJ, et al. . A computerized, self-administered questionnaire to evaluate posttraumatic stress among firefighters after the world Trade center collapse. Am J Public Health 2009;99(Suppl 3):S702–9. 10.2105/AJPH.2008.151605
    1. Zakim D, Fritz C, Braun N, et al. . Computerized history-taking as a tool to manage dyslipidemia. Vasc Health Risk Manag 2010;6:1039–46. 10.2147/VHRM.S14302
    1. Almario CV, Chey W, Kaung A, et al. . Computer-Generated vs. physician-documented history of present illness (HPI): results of a blinded comparison. Am J Gastroenterol 2015;110:170–9. 10.1038/ajg.2014.356
    1. Pappas Y, Všetečková J, Poduval S, et al. . Computer-Assisted versus Oral-and-Written history taking for the prevention and management of cardiovascular disease: a systematic review of the literature. Acta Med 2017;60:97–107. 10.14712/18059694.2018.1
    1. Hunt DL, Haynes RB, Hanna SE, et al. . Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. JAMA 1998;280:1339–46. 10.1001/jama.280.15.1339
    1. Garg AX, Adhikari NKJ, McDonald H, et al. . Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA 2005;293:1223–38. 10.1001/jama.293.10.1223
    1. Raschke RA, Gollihare B, Wunderlich TA, et al. . A computer alert system to prevent injury from adverse drug events: development and evaluation in a community teaching hospital. JAMA 1998;280:1317–20. 10.1001/jama.280.15.1317
    1. Chen R, Valladares C, Corbal I, et al. . Early experiences from a guideline-based computerized clinical decision support for stroke prevention in atrial fibrillation. Stud Health Technol Inform 2013;192:244–7.
    1. Berner ES, Kasiraman RK, Yu F, et al. . Data quality in the outpatient setting: impact on clinical decision support systems. AMIA Annu Symp Proc 2005:41–5.
    1. Skyttberg N, Chen R, Blomqvist H, et al. . Exploring vital sign data quality in electronic health records with focus on emergency care warning scores. Appl Clin Inform 2017;8:880–92. 10.4338/ACI-2017-05-RA-0075
    1. Chan A-W, Tetzlaff JM, Gøtzsche PC, et al. . SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ 2013;346:e7586 10.1136/bmj.e7586
    1. Widgren BR, Jourak M. Medical emergency triage and treatment system (METTS): a new protocol in primary triage and secondary priority decision in emergency medicine. J Emerg Med 2011;40:623–8. 10.1016/j.jemermed.2008.04.003
    1. Ludvigsson JF, Andersson E, Ekbom A, et al. . External review and validation of the Swedish national inpatient register. BMC Public Health 2011;11:450 10.1186/1471-2458-11-450
    1. Brooke HL, Talbäck M, Hörnblad J, et al. . The Swedish cause of death register. Eur J Epidemiol 2017;32:765–73. 10.1007/s10654-017-0316-1
    1. Zakim D, Braun N, Fritz P, et al. . Underutilization of information and knowledge in everyday medical practice: evaluation of a computer-based solution. BMC Med Inform Decis Mak 2008;8:50 10.1186/1472-6947-8-50
    1. Ibanez B, James S, Agewall S, et al. . 2017 ESC guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: the task force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of cardiology (ESC). Eur Heart J 2018;39:119–77. 10.1093/eurheartj/ehx393
    1. Thygesen K, Alpert JS, Jaffe AS, et al. . Fourth universal definition of myocardial infarction (2018). Eur Heart J 2019;40:237–69. 10.1093/eurheartj/ehy462

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