Clinical Decision Support Requirements for Ventricular Tachycardia Diagnosis Within the Frameworks of Knowledge and Practice : Survey Study

©Zhao Hu, Min Wang, Si Zheng, Xiaowei Xu, Zhuxin Zhang, Qiaoyue Ge, Jiao Li, Yan Yao. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 26.03.2024..

BACKGROUND: Ventricular tachycardia (VT) diagnosis is challenging due to the similarity between VT and some forms of supraventricular tachycardia, complexity of clinical manifestations, heterogeneity of underlying diseases, and potential for life-threatening hemodynamic instability. Clinical decision support systems (CDSSs) have emerged as promising tools to augment the diagnostic capabilities of cardiologists. However, a requirements analysis is acknowledged to be vital for the success of a CDSS, especially for complex clinical tasks such as VT diagnosis.

OBJECTIVE: The aims of this study were to analyze the requirements for a VT diagnosis CDSS within the frameworks of knowledge and practice and to determine the clinical decision support (CDS) needs.

METHODS: Our multidisciplinary team first conducted semistructured interviews with seven cardiologists related to the clinical challenges of VT and expected decision support. A questionnaire was designed by the multidisciplinary team based on the results of interviews. The questionnaire was divided into four sections: demographic information, knowledge assessment, practice assessment, and CDS needs. The practice section consisted of two simulated cases for a total score of 10 marks. Online questionnaires were disseminated to registered cardiologists across China from December 2022 to February 2023. The scores for the practice section were summarized as continuous variables, using the mean, median, and range. The knowledge and CDS needs sections were assessed using a 4-point Likert scale without a neutral option. Kruskal-Wallis tests were performed to investigate the relationship between scores and practice years or specialty.

RESULTS: Of the 687 cardiologists who completed the questionnaire, 567 responses were eligible for further analysis. The results of the knowledge assessment showed that 383 cardiologists (68%) lacked knowledge in diagnostic evaluation. The overall average score of the practice assessment was 6.11 (SD 0.55); the etiological diagnosis section had the highest overall scores (mean 6.74, SD 1.75), whereas the diagnostic evaluation section had the lowest scores (mean 5.78, SD 1.19). A majority of cardiologists (344/567, 60.7%) reported the need for a CDSS. There was a significant difference in practice competency scores between general cardiologists and arrhythmia specialists (P=.02).

CONCLUSIONS: There was a notable deficiency in the knowledge and practice of VT among Chinese cardiologists. Specific knowledge and practice support requirements were identified, which provide a foundation for further development and optimization of a CDSS. Moreover, it is important to consider clinicians' specialization levels and years of practice for effective and personalized support.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:11

Enthalten in:

JMIR human factors - 11(2024) vom: 26. März, Seite e55802

Sprache:

Englisch

Beteiligte Personen:

Hu, Zhao [VerfasserIn]
Wang, Min [VerfasserIn]
Zheng, Si [VerfasserIn]
Xu, Xiaowei [VerfasserIn]
Zhang, Zhuxin [VerfasserIn]
Ge, Qiaoyue [VerfasserIn]
Li, Jiao [VerfasserIn]
Yao, Yan [VerfasserIn]

Links:

Volltext

Themen:

Clinical decision support system
Clinical practice
Journal Article
Knowledge
Questionnaires
Requirements analysis
Ventricular tachycardia

Anmerkungen:

Date Completed 27.03.2024

Date Revised 25.04.2024

published: Electronic

Citation Status MEDLINE

doi:

10.2196/55802

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM37019893X