Determination of Minimum Data Set for Designing a Diagnosis Decision Support System and Medication Follow-Up for Multiple Sclerosis

Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_JHES-8-1_004

تاریخ نمایه سازی: 8 آذر 1402

Abstract:

Background and Purpose: Diagnosis of multiple sclerosis (MS) is complicated because of the lack of definite factor. Decision support systems are expert systems which help physicians in decision-making process. First step in designing the system is identification of a minimum dataset (MDS). This study aimed to determine minimum dataset required to design diagnosis decision support system. Materials and Methods: This research was a descriptive cross-sectional study. Data were gathered from medical guideline approved by Ministry of Health, Treatment and Medical Training, Multiple Sclerosis diagnosis, international guideline of Royal college of England, and McDonald Diagnostic criteria. Data collection tool was a designed checklist consisting of ۱۰۰ items provided to ۲۵ neurologists and MS fellowships of medical universities and private clinics in Iran. Results: Out of ۱۰۰ designed information’s items, ۱۰ items were omitted due to CVR less than ۰.۴۹. Employment status items, history of MS in ۳rd grade relatives, history of viral diseases, orbital MRI, optical coherence tomography, brain CT-scan, ESR, CRP, visually evoked potentials, delay duration of P۱۰۰ for each eyes are all examples of information elements that have been omitted. Conclusion: Determining the minimum dataset related to MS is an important step in designing diagnosis decision support system and medication follow-up. Therefore, MDSs can help those responsible for gathering standard information of patients with Multiple Sclerosis (MS), and causes improvement in management of information for this disease.

Authors

Sahar Khenarinezhad

School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran

Niloofar Mohammadzadeh

School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran

Marjan GhaziSaeedi

School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran

Abdorreza NaserMoghadasi

Tehran University of Medical Sciences, Tehran, Iran

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