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Background: Registries are regarded as a just valuable fount of data on determining neonates suffering prematurity or low birth weight (LBW), ameliorating provided care, and developing studies. Objective: This study aimed to probe the studies, including premature infants' registries, adapt the needed minimum data set, and provide an offered framework for premature infants' registries. Material and Methods: For this descriptive study, electronic databases including PubMed, Scopus, Web of Science, ProQuest, and Embase/Medline were searched. In addition, a review of gray literature was undertaken to identify relevant studies in English on current registries and databases. Screening of titles, abstracts, and full texts was conducted independently based on PRISMA guidelines. The basic registry information, scope, registry type, data source, the purpose of the registry, and important variables were extracted and analyzed. Results: Fifty-six papers were qualified and contained in the process that presented 51 systems and databases linked in prematurity at the popular and government levels in 34 countries from 1963 to 2017. As a central model of the information management system and knowledge management, a prematurity registry framework was offered based on data, information, and knowledge structure. Conclusion: To the best of our knowledge, this is a comprehensive study that has systematically reviewed prematurity-related registries. Since there are international standards to develop new registries, the proposed framework in this article can be beneficial too. This framework is essential not only to facilitate the prematurity registry design but also to help the collection of high-value clinical data necessary for the acquisition of better clinical knowledge.
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Background: Integration of healthcare services for preterm neonates at home and hospital by mobile technology is an economical and convenient intervention, which is being increasingly applied worldwide. We aimed to classify the outcomes of mobile applications tailored to parents of premature infants. Methods: This systematic review was conducted by searching the six main databases until May 2021. Mobile applications tailored to parents of premature infants and the reported outcomes of this technology were identified and classified. Quality of screened articles checked by MMAT tool. Results: Overall, 10703 articles were retrieved, and after eliminating the duplicated articles, 9 articles were reviewed ultimately. Identified outcomes were categorized into three groups parental, application, and neonatal outcomes. In the parental outcomes, maternal stress/stress coping, parenting self-efficacy, satisfaction, anxiety, partnership advocacy/improved parent-infant relationship, feeling of being safe, reassurance and confidence, increase awareness, as well as discharge preparedness, were identified. In the application outcomes, application usage, ease of use/user-friendly, and usability of the designed application were placed. Finally, the neonatal outcomes include health and clinical items. Conclusion: Mobile applications can be useful in prematurity for educating pregnant mothers, managing stress and anxiety, supporting families, and preparing for discharge. Moreover, due to the coronavirus condition, providing remote services for parents is an appropriate solution to reduce the in-person visits to neonatal care centers. Development of tailored apps can promote the neonates' health and reduce their parents' stress.
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Background: This study was conducted to classify the types of evaluation methods in clinical health technologies based on a systematic review method. Methods: An electronic search was conducted in three scientific databases including Scopus, PubMed and ISI. The search strategy was performed in Jul to Nov 2021 and based on the three main concepts of "evaluation", "technology", "health. This search has been restricted to 10 years (2011-2021). Moreover, it only was limited to English and papers published in journals and conferences proceeding. Results: Overall, 8149 references were identified for title and abstract screening. Full text screening was performed for 2674 articles, with 174 meeting the criteria for study inclusion. Conclusion: Most of the technologies evaluated in these articles were associated with PC-based systems (N=107), and there have been fewer mobile apps (N=67). Most of used technologies were with goals of treatment (43%, N=74) and education (26%, N=45). Among all the methods, the most and the least used methods were usability (66%, N=115) and qualitative (1%, N=2) method, respectively. The most method for health clinical technologies is usability method especially in telemedicine field.
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PARTICIPANTS: Four electronic databases were searched on March 6, 2020 including Scopus, PubMed, ISI, and Embase. METHODS: Our search consisted of concepts of "self-care," "elderly" and "Mobile device." English journal papers and, RCTs conducted for individuals older than 60 in the last 10 years were included. A narrative approach was used to synthesize the data due to the heterogeneous nature of the data. RESULTS: Initially, 3047 studies were obtained and finally 19 studies were identified for deep analysis. 13 outcomes were identified in m-health interventions to help older adults' self-care. Each outcome has at least one or more positive results. The psychological status and clinical outcome measures were all significantly improved. CONCLUSION: According to the findings, it is not possible to draw a definite positive decision about the effectiveness of interventions on older adults because the measures are very diverse and have been measured with different tools. However, it might be declared that m-health interventions have one or more positive results and can be used along with other interventions to improve the health of older adults.
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Self Care , Telemedicine , Humans , Aged , Self Care/methodsABSTRACT
Mobile health as one of the new technologies can be a proper solution to support care provision for the elderly and provide personalized care for them. This study is aimed at reviewing the benefits and challenges of personalized mobile health (PMH) for elderly home care. With a systematic review methodology, 1895 records were retrieved by searching four databases. After removing duplicates, 1703 articles remained. Following full-text examination, 21 articles that met the inclusion criteria were studied in detail, and the output was presented in different tables. The results indicated that 25% of the challenges were related to privacy, cybersecurity, and data ownership (10%), technology (7.5%), and implementation (7.5%). The most frequent benefits were related to cost-saving (17.5%), nurse engagement improvement (10%), and caregiver stress reduction (7.5%). In general, the number of benefits in this study was slightly higher than the challenges, but in order to use PMH technologies, the challenges presented in this study must be carefully considered and a suitable solution must be adopted. Benefits can also be helpful in persuading individuals and health-care providers. This study shed light on those points that need to be highlighted for further work in order to convert the challenges toward benefits.
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Introduction: Low birth weight is the most important condition of neonatal community health and the main cause of neonates' mortality. Identifying the indexes associated with this condition, and factors to prevent, and managing related data can help reduce the birth of premature infants to reduce the mortality rate due to this condition. The goal of present study was to design, implement and evaluate an innovative intelligence information management system for premature infants. Material and method: The present study was a multidisciplinary research that was done in 2019 to 2021 in four integrated phases in Iran. The first phase aimed to compare the current status of registration systems of premature infants through a systematic review and semi-structured interviews by using the Delphi model Then the minimum data set was determined and was designed a proposed model based on it. In the second phase, the structure and how the user interacts with the system were determined, and, using Microsoft Visio software, Unified Modeling Language diagrams were drawn to define the logical relationship of data. In the third phase, the system was developed, and finally in the last phase, in three methods, users' views on the usability of the system were evaluated. Results: The findings of this study included 233 essential data elements that were placed in two main groups of essential data, and the system was approved by end users for 87.73% consent and 67.19% satisfaction for SUMI (Software Usability Measurement Inventory) and 7.97 of 9 in QUIS questionnaire. Conclusion: This research's results can be beneficial and functional such as a complete sample for design and development of other systems concerned to health systems.
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Background: Premature birth is a global epidemic of significant public health concern. Counselling and education of pregnant women at risk of preterm birth or mothers with premature infants are essential to improve mother and infant health. Mobile applications are an increasingly popular tool among parents to receive health information and education. This study aims to evaluate the usages and the effects of a mobile application designed for premature births in order to improve health outcomes. Methods: This review will include all studies of different designs which evaluated the use and impact of interventions provided via mobile applications on pregnant women at risk of preterm birth or mothers with premature infants in order to address all health outcomes. A combination of keywords and MeSH(Medical Subject Headings) terms is used in the search strategy. Literature databases including Scopus, PubMed, ISI Web of Science, ProQuest, CINAHL and Cochrane Library will be searched to May 2021. Furthermore, eligible studies will be chosen from the reference list of retrieved papers. Two researchers will independently review the retrieved citations to decide whether they meet the inclusion criteria. Mixed Methods Appraisal Tool (MMAT) V.2018 will be used to assess the quality of studies. Relevant data are collected in a data extraction form and analysed. Results are reported under the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Discussion: This systematic review will recognize and combine evidence about the usages and impact of mobile application interventions on the health improvement of pregnant women at risk of preterm birth or mothers with premature infants.
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Infant, Premature, Diseases , Mobile Applications , Premature Birth , Female , Humans , Infant , Infant, Newborn , Infant, Premature , Mothers , Pregnancy , Premature Birth/epidemiology , Systematic Reviews as TopicABSTRACT
BACKGROUND: Epilepsy is a neurological disorder characterized by seizures and recurrent attacks. Self-management leads to seizure control and maximizes the quality of life in epileptic patients. The purpose of this study was to evaluate the quality of applications available in the epileptic google play store based on the rating features of MARS (Mobile Applications Rating Scale). METHODS: The search was conducted systematically using the keywords "epilepsy", "seizure", "mobile health" at the Android google play store. Data were extracted and analyzed from Feb 2018 to Apr 2019. RESULTS: Accordingly, 45 apps were identified potentially relevant of which 20 met inclusion criteria. Twenty-five apps were excluded because they were unrelated to epilepsy self-management, or not Development for people with epilepsy, not in English language or were not free and available. The total mean MARS score was 3.21 out of 5, and more than half of apps (17, 85%) had a minimum acceptability score of 3.0. The mean of apps' items were 3.27 in Engagement, 3.96 in function, 3.30 in Aesthetics, 2.96 in Information and 2.73 in subjective quality items. CONCLUSION: Few apps meet prespecified criteria for quality, content, and functionality for epilepsy self-management. Despite the rapid evolution of self-management apps, lack of validation studies is a significant concern that limits the clinical value of these apps. Moreover, having a guideline and benchmarking in the field of mobile application development, in epilepsy management, can help analyze the content of established applications.
