Determination of Minimum Data Set for Designing a Diagnosis Decision Support System and Medication Follow-Up for Multiple Sclerosis
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 stud...
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Format: | Article |
Language: | English |
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Mazandaran University of Medical Sciences
2020-04-01
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Series: | علوم بهداشتی ایران |
Subjects: | |
Online Access: | http://jhs.mazums.ac.ir/article-1-717-en.html |
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author | Sahar Khenarinezhad Niloofar Mohammadzadeh Marjan GhaziSaeedi Abdorreza NaserMoghadasi |
author_facet | Sahar Khenarinezhad Niloofar Mohammadzadeh Marjan GhaziSaeedi Abdorreza NaserMoghadasi |
author_sort | Sahar Khenarinezhad |
collection | DOAJ |
description | 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 100 items provided to 25 neurologists and MS fellowships of medical universities and private clinics in Iran.
Results: Out of 100 designed information’s items, 10 items were omitted due to CVR less than 0.49. Employment status items, history of MS in 3rd grade relatives, history of viral diseases, orbital MRI, optical coherence tomography, brain CT-scan, ESR, CRP, visually evoked potentials, delay duration of P100 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. |
first_indexed | 2024-04-11T23:29:01Z |
format | Article |
id | doaj.art-6f83e1c15c4c486bab8d9ba7ccc747ee |
institution | Directory Open Access Journal |
issn | 2322-553X 2322-4797 |
language | English |
last_indexed | 2024-04-11T23:29:01Z |
publishDate | 2020-04-01 |
publisher | Mazandaran University of Medical Sciences |
record_format | Article |
series | علوم بهداشتی ایران |
spelling | doaj.art-6f83e1c15c4c486bab8d9ba7ccc747ee2022-12-22T03:57:14ZengMazandaran University of Medical Sciencesعلوم بهداشتی ایران2322-553X2322-47972020-04-01812939Determination of Minimum Data Set for Designing a Diagnosis Decision Support System and Medication Follow-Up for Multiple SclerosisSahar Khenarinezhad0Niloofar Mohammadzadeh1Marjan GhaziSaeedi2Abdorreza NaserMoghadasi3 School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran Tehran University of Medical Sciences, Tehran, Iran 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 100 items provided to 25 neurologists and MS fellowships of medical universities and private clinics in Iran. Results: Out of 100 designed information’s items, 10 items were omitted due to CVR less than 0.49. Employment status items, history of MS in 3rd grade relatives, history of viral diseases, orbital MRI, optical coherence tomography, brain CT-scan, ESR, CRP, visually evoked potentials, delay duration of P100 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.http://jhs.mazums.ac.ir/article-1-717-en.htmlmultiple sclerosisdiagnosisdecision makingphysicians |
spellingShingle | Sahar Khenarinezhad Niloofar Mohammadzadeh Marjan GhaziSaeedi Abdorreza NaserMoghadasi Determination of Minimum Data Set for Designing a Diagnosis Decision Support System and Medication Follow-Up for Multiple Sclerosis علوم بهداشتی ایران multiple sclerosis diagnosis decision making physicians |
title | Determination of Minimum Data Set for Designing a Diagnosis Decision Support System and Medication Follow-Up for Multiple Sclerosis |
title_full | Determination of Minimum Data Set for Designing a Diagnosis Decision Support System and Medication Follow-Up for Multiple Sclerosis |
title_fullStr | Determination of Minimum Data Set for Designing a Diagnosis Decision Support System and Medication Follow-Up for Multiple Sclerosis |
title_full_unstemmed | Determination of Minimum Data Set for Designing a Diagnosis Decision Support System and Medication Follow-Up for Multiple Sclerosis |
title_short | Determination of Minimum Data Set for Designing a Diagnosis Decision Support System and Medication Follow-Up for Multiple Sclerosis |
title_sort | determination of minimum data set for designing a diagnosis decision support system and medication follow up for multiple sclerosis |
topic | multiple sclerosis diagnosis decision making physicians |
url | http://jhs.mazums.ac.ir/article-1-717-en.html |
work_keys_str_mv | AT saharkhenarinezhad determinationofminimumdatasetfordesigningadiagnosisdecisionsupportsystemandmedicationfollowupformultiplesclerosis AT niloofarmohammadzadeh determinationofminimumdatasetfordesigningadiagnosisdecisionsupportsystemandmedicationfollowupformultiplesclerosis AT marjanghazisaeedi determinationofminimumdatasetfordesigningadiagnosisdecisionsupportsystemandmedicationfollowupformultiplesclerosis AT abdorrezanasermoghadasi determinationofminimumdatasetfordesigningadiagnosisdecisionsupportsystemandmedicationfollowupformultiplesclerosis |