Introduction: The explosion of mobile phone users along with the importance of user’s role in managing their health provides a unique opportunity for m-Health applications in the management of chronic illnesses such as Multiple sclerosis (MS). Aim: To identify available MS applications and to characterize the content of MS self-management applications. Methods: Two popular online application stores (iTunes, Google play) were searched for multiple sclerosis -related apps using the following keywords: multiple sclerosis, disseminated multiple sclerosis, disseminated sclerosis, and MS. Apps were considered eligible if they had been customized only on multiple sclerosis. First, data was extracted from the description page for any eligible application. To achieve the study goal, the secondary analysis was performed only for self-management applications. Results: Search of two popular markets identified 1042 applications (747 applications from Google play, and 295 applications from iTunes). Of these, 104 unique applications met the inclusion criteria. Almost a quarter of eligible applications (26%) had been designed for multiple sclerosis self-management. Other purposes of the identified applications were diagnosing & treating (7.7%), doing tests (7.7%), connecting & communication for MS patients (4.8%), raising awareness of multiple sclerosis (15.4%), accessing to journals & news (6.7%), conferences & meetings (17.3%), supporting & donating to MS community (14.4%). Conclusion: It appears the mobile applications provide a multidimensional tool for patient with Multiple Sclerosis to improve their condition self-management. These applications can contribute to empowerment of the patients, and help their adherence to the therapeutic and management regimen of their conditions. Moreover, they can be utilized to collect information on the MS progress pattern in personal level for each individual patient. This information may provide health care professionals with evidence to help their patients toward enhancing self-management of their disease.

User satisfaction has been considered as the measure of information system effectiveness success. User satisfaction is difficult to define but is considered an evaluation construct. Globally health organizations, particularly hospitals, invest a huge amount of money on information system projects. If hospital information systems (HISs) are to be successful, factors influencing or related to user satisfaction should be taken into account at the time of designing, developing or adopting such systems. The current study aimed to provide a comprehensive review of factors related to user satisfaction with information systems. The researchers systematically searched PubMed, Science Direct, and IEEE electronic databases for articles published from January 1990 to June 2016. A search strategy was developed using a combination of the following keywords:  “model,” “user satisfaction,” “information system,” “measurement,” “instrument,” and “ tool.” Reported dimensions, factors, and their possible influence on user satisfaction with information systems were extracted from the studies wherever was possible. Overall factors influencing user satisfaction with information systems can be categorized in seven dimensions: Information quality, system quality, vendor support quality, system use, perceived usefulness, user characteristics, and organizational structure& management style. If all these factors are considered properly in the process of developing, designing, implementing, or purchasing information systems, the higher user satisfaction with the system will be likely. Otherwise, it would end up with unsatisfied users that will finally contribute to the system failure. [GMJ.2020;9:e1686]

Background:The minimum data considered as a conceptual framework, based on the achievement of effectiveness indicators and it ensures to access of precise and clear health data. The aims of the present study were identified and proposed a data element set of speech therapy centers affiliated with Tabriz University of Medical Sciences.Material and Methods:This study that was cross – sectional type, performed in 9 speech therapy clinic from medical university in 2014. Firstly, the minimum data elements set evaluated using the check list in these centers. Using the findings from the first step and survey of internal and external documentation forms, designed a questionnaire containing a minimum data speech therapy files and it shared between 36 Speech therapy experts using 5 options of Likert scale. Validity of questionnaire was examined through its validity and reliability of content by retest. For data analysis, data processing was performed using descriptive statistics by SPSS21 software.Results:The minimum data set for speech therapy were divided into two categories: clinical and administrative data. The Name and surname, date of birth, gender, address, telephone number, date of admission and the number of treatments, the patient’s complaint, the time of occurrence of injury or disorder, reason and age of disease considered as the most important elements for management data and health history. For the most important elements of clinical information were selected Short-term and long-term aims and development of speech history.Conclusion:The design and implementation of suitable data collection of speech therapy for gathering of data, we recommended planning for the control and prevention of speech disorders to providing high quality and good care of patient in speech therapy centers.

Background: Multiple sclerosis (MS) is a common cause of neurologic disability in young adults. Individuals with MS deal with the day-to-day effects of the disease on their lives. Self-management can help with these challenges. This study aimed to explore MS self-management needs according to experiences of persons with MS and was conducted as part of a research project to develop an MS self-management mobile application. Methods: We used a qualitative method to elicit self-management needs among 12 individuals with MS and conducted semistructured interviews with them. The participants were chosen based on snowball sampling. The interviews were recorded and transcribed verbatim. Finally, qualitative data were analyzed using a content analysis method (inductive way) to identify the underlying themes and subthemes. Results: The analysis resulted in the emergence of seven themes: the source of information, basic needs, understanding MS, physical exercises in MS, useful nutrition in MS, MS monitoring, and communication. Within these seven themes we identified 23 subthemes. Conclusions: The themes that emerged in this study show what needs are essential to help persons with MS improve their self-management capacity. These findings can help in the development of self-management mobile applications for supporting individuals in managing MS.

Introduction:National Health Information System plays an important role in ensuring timely and reliable access to Health information, which is essential for strategic and operational decisions that improve health, quality and effectiveness of health care. In other words, using the National Health information system you can improve the quality of health data, information and knowledge used to support decision making at all levels and areas of the health sector. Since full identification of the components of this system – for better planning and management influential factors of performanceseems necessary, therefore, in this study different attitudes towards components of this system are explored comparatively.Methods:This is a descriptive and comparative kind of study. The society includes printed and electronic documents containing components of the national health information system in three parts: input, process and output. In this context, search for information using library resources and internet search were conducted, and data analysis was expressed using comparative tables and qualitative data.Results:The findings showed that there are three different perspectives presenting the components of national health information system Lippeveld and Sauerborn and Bodart model in 2000, Health Metrics Network (HMN) model from World Health Organization in 2008, and Gattini’s 2009 model. All three models outlined above in the input (resources and structure) require components of management and leadership, planning and design programs, supply of staff, software and hardware facilities and equipment. Plus, in the “process” section from three models, we pointed up the actions ensuring the quality of health information system, and in output section, except for Lippeveld Model, two other models consider information products and use and distribution of information as components of the national health information system.Conclusion:the results showed that all the three models have had a brief discussion about the components of health information in input section. But Lippeveld model has overlooked the components of national health information in process and output sections. Therefore, it seems that the health measurement model of network has a comprehensive presentation for the components of health system in all three sections-input, process and output.

Objectives: Pelvic floor disorders (PFDs) are important public health concerns due to their increasing prevalence. Hence, there is an increasing need for developing systematically collected quality data to assist appropriate clinical decision-making. This study aimed to develop a core data set for patients with PFDs based on the PFDs registry. Methods: A descriptive cross-sectional study was conducted in 2019. Data were retrieved from electronic databases including PubMed, Embase and Google scholar. Available documents and data systems in clinical centers were also assessed. The Delphi technique was applied to reach a consensus about the data elements using a questionnaire. A panel of experts evaluated the content validity of the questionnaire. Results: We developed a dataset for PFDs that included two classes of data (65 data items) identified from the related literature. In the Delphi survey, 74 data elements were determined by the experts and final data were divided into two demographic and clinical categories that included 12 and 62 data elements, respectively. Conclusions: This dataset has the potential for standardizing the data by providing accurate, consistent, complete and uniform data elements. Furthermore, it can provide valuable research facilities for clinicians and researchers in the healthcare system resulting in improvement of the quality of care and containment of costs.

Introduction: Nurses are one of the largest providers of health and treatment services in the healthcare setting. A well-designed information system is one of the necessities for nurses.For this purpose, a proper evaluation of available systems is needed. The aim of this study to evaluate nurses’ perspectives on nursing information systems in hospitals of Tabriz University of Medical Sciences.Methods: This is a cross-sectional study. Two hundred and seventy-five nurses participated in this study. The evaluation instrument was HIS-monitor and 41 specific questions that were related to nurses in four criteria were selected. The validity of the questionnaires was confirmed by experts and the reliability of the instrument was calculated byCronbach Alpha (α =0.88). Data were analyzed by SPSS Statistics version 16 using descriptive and analytic statistics.Results: 50.8% stated that the studied NIS supports nursing admission process well or very well and 47.7% believed that these NISs improve access to patient-related information and documentation of nursing care (48.1%) .25% evaluated the function of NIS in the nursing care plan poor or very poor.Conclusion: According to the results, the status of nursing information systems is approximately acceptable and more attention is needed in designing and manufacturing hospital software.

Background Clinical practice guidelines are statements which are based on the best available evidence, and their goal is to improve the quality of patient care. Integrating clinical practice guidelines into computer systems can help physicians reduce medical errors and help them to have the best possible practice. Guideline-based clinical decision support systems play a significant role in supporting physicians in their decisions. Meantime, system errors are the most critical concerns in designing decision support systems that can affect their performance and efficacy. A well-developed ontology can be helpful in this matter. The proposed systematic review will specify the methods, components, language of rules, and evaluation methods of current ontology-driven guideline-based clinical decision support systems. Methods This review will identify literature through searching MEDLINE (via Ovid), PubMed, EMBASE, Cochrane Library, CINAHL, ScienceDirect, IEEEXplore, and ACM Digital Library. Gray literature, reference lists, and citing articles of the included studies will be searched. The quality of the included studies will be assessed by the mixed methods appraisal tool (MMAT-version 2018). At least two independent reviewers will perform the screening, quality assessment, and data extraction. A third reviewer will resolve any disagreements. Proper data analysis will be performed based on the type of system and ontology engineering evaluation data. Discussion The study will provide evidence regarding applying ontologies in guideline-based clinical decision support systems. The findings of this systematic review will be a guide for decision support system designers and developers, technologists, system providers, policymakers, and stakeholders. Ontology builders can use the information in this review to build well-structured ontologies for personalized medicine. Systematic review registration PROSPERO CRD42018106501