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.
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