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Introduction: Multiple Sclerosis (MS) and Neuro-Myelitis Optica spectrum disorder (NMOSD) are an autoimmune condition. Both of them have unexpected and acute relapses. The aim of this qualitative study was explaining the individual problems experienced of women affected by NMOSD and MS.Method: Sixteen NMOSD patients and eighteen MS patients completed a face to face deep semi-structured interview. Participants were recruited from the MS ward in Sina hospital. After typed the interview, the data were analyzed using conventional content analysis, as recommended by Graneheim and Lundman (2005). Data analysis is managed with MAXQDA2018 software.Results: In this study, a common theme for both disease groups was identified as "challenges arising from personal problems". The categories are named after each other and have many similarities, which in the NMOSD group include four categories including: "From uncertainty to the perception of threat", "Living with limitations", "Active coping until normalization" and "Facilitators of personal problems" appeared. In the group of patients with MS, five categories emerged: "perceived threat", living at a bottleneck, trying to deal with negative experiences, "facilitators of personal problems" and "problems related to physical rehabilitation".Conclusion: This qualitative study showed that the individual problems of the two groups of NMOSD and MS patients are somewhat similar. Also in the present study, people with MS need longer-term rehabilitation care than people with NMOSD, which should be considered and examined, a need that was less seen in people with NMOSD. The unpredictability of attacks in NMOSD and MS can have a profound effect on the daily lives of these people. Therefore, educating patients and staff about how to manage life in such diseases can be an important help to improve patient's health.

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.