Maternal and neonatal outcomes in pregnant women with multiple sclerosis disease: A systematic review and meta-analysis.

OBJECTIVES: Little is known regarding the impact of multiple sclerosis (MS) on maternal and neonatal outcomes. Consequently, this systematic review and meta-analysis aimed to study the impacts of MS on maternal and neonatal outcomes in pregnant women with a history of MS. METHODS: This review was designed in line with the PRISMA guidelines. Two researchers conducted independent reviews of the literature without time restrictions until January 2023 using international databases, including PubMed, Web of Science, CINAHL Plus, Embase, Scopus, Science Direct, and Google Scholar. A random-effect meta-analysis, using the db metan command in Stata 17.2, was used to calculate the pooled measure of association. RESULTS: The meta-analysis identified 15 studies involving 33,174,541 pregnant women (32,191 with MS and 33,142,350 as controls). The findings indicate that women with a history of MS are at an increased risk of cesarean delivery (OR=1.28, 95% Confidence Intervals [CI]: 1.14-1.45, p-value: 0.042). Also, these women are at higher risk of neonatal outcomes, such as preterm birth (OR= 1.39, 95% CI: 1.08-1.78, p-value: 0.02), congenital malformations (OR=1.32, 95%CI: 1.16-1.50, p-value: 0.031), Apgar score <7 (OR=2.13, 95% CI: 1.19-3.79, p-value: 0.03), and small for gestational age (OR=1.27, 95% CI: 1.08-1.51, p-value: 0.040). CONCLUSION: Pregnant women with MS have a greater chance of adverse pregnancy results than pregnant women without MS. Consequently, pregnant women with MS should create detailed before and after pregnancy plans, in consultation with their doctors, spouses, families, and friends, regarding the necessary care and supplements. Future studies applying a prospective cohort design that control for potential confounders are needed to further validate the findings.

Heuristics used for evaluating the usability of mobile health applications: A systematic literature review.

Objective: Mobile health applications hold immense potential for enhancing health outcomes. Usability is one of the main factors for the adoption and use of mobile health applications. However, despite the growing importance of mHealth applications, clear standards for their evaluation remain elusive. The present study aimed to determine heuristics for the usability evaluation of health-related applications. Methods: We systematically searched multiple databases for relevant papers published between January 2008 and April 2021. Articles were reviewed, and data were extracted and categorized from those meeting inclusion criteria by two authors independently. Heuristics were identified based on statements, words, and concepts expressed in the studies. These heuristics were first mapped to Nielsen's heuristics based on their differences or similarities. The remaining heuristics that were very important for mobile applications were categorized into new heuristics. Results: Seventeen studies met the eligibility criteria. Seventy-nine heuristics were extracted from the papers. After combining the items with the same concepts and removing irrelevant items based on the exclusion criteria, 20 heuristics remained. Common heuristics such as "Visibility of system status" and "Flexibility and efficiency of use" were categorized into 10 previously established heuristics and new heuristics like "Navigation" and "User engagement" were recognized as new ones. Conclusions: In our study, we have meticulously identified 20 heuristics that hold promise for evaluating and designing mHealth applications. These heuristics can be used by the researchers for the development of robust tools for heuristic evaluation. These tools, when adapted or tailored for health domain applications, have the potential to significantly enhance the quality of mHealth applications. Ultimately, this improvement in quality translates to enhanced patient safety. Protocol Registration: (10.17605/OSF.IO/PZJ7H).

Identifying the data elements and functionalities of clinical decision support systems to administer medication for neonates and pediatrics: a systematic literature review.

BACKGROUND: Patient safety is a central healthcare policy worldwide. Adverse drug events (ADE) are among the main threats to patient safety. Children are at a higher risk of ADE in each stage of medication management process. ADE rate is high in the administration stage, as the final stage of preventing medication errors in pediatrics and neonates. The most effective way to reduce ADE rate is using medication administration clinical decision support systems (MACDSSs). The present study reviewed the literature on MACDSS for neonates and pediatrics. It identified and classified the data elements that mapped onto the Fast Healthcare Interoperability Resources (FHIR) standard and the functionalities of these systems to guide future research. METHODS: PubMed/ MEDLINE, Embase, CINAHL, and ProQuest databases were searched from 1995 to June 31, 2021. Studies that addressed developing or applying medication administration software for neonates and pediatrics were included. Two authors reviewed the titles, abstracts, and full texts. The quality of eligible studies was assessed based on the level of evidence. The extracted data elements were mapped onto the FHIR standard. RESULTS: In the initial search, 4,856 papers were identified. After removing duplicates, 3,761 titles, and abstracts were screened. Finally, 56 full-text papers remained for evaluation. The full-text review of papers led to the retention of 10 papers which met the eligibility criteria. In addition, two papers from the reference lists were included. A total number of 12 papers were included for analysis. Six papers were categorized as high-level evidence. Only three papers evaluated their systems in a real environment. A variety of data elements and functionalities could be observed. Overall, 84 unique data elements were extracted from the included papers. The analysis of reported functionalities showed that 18 functionalities were implemented in these systems. CONCLUSION: Identifying the data elements and functionalities as a roadmap by developers can significantly improve MACDSS performance. Though many CDSSs have been developed for different medication processes in neonates and pediatrics, few have actually evaluated MACDSSs in reality. Therefore, further research is needed on the application and evaluation of MACDSSs in the real environment. PROTOCOL REGISTRATION: (dx.doi.org/10.17504/protocols.io.bwbwpape).

The role of mobile health in prevention, diagnosis, treatment and self-care of COVID-19 from the healthcare professionals' perspectives.

Background: To facilitate disease management, understanding the attitude of healthcare professionals regarding the use of this tool can help mobile health (mHealth) program developers develop appropriate interventions. Aims: To assess the perspective of healthcare professionals regarding the contribution of mobile-based interventions in the prevention, diagnosis, self-care, and treatment (PDST) of COVID-19. Methods: This is a survey study conducted in 2020 in Iran with 81 questions. In this study mHealth functionalities were categorized into four dimensions including innovative, monitoring and screening, remote services, and education and decision-making. The data were analyzed using descriptive statistics, ANOVA, and the Kruskal-Wallis test to compare the attitudes of the different job groups. Results: In total, 123 providers participated, and 87.4% of them reported that mHealth technology is moderate to most helpful for the management of COVID-19. Healthcare professionals believed that mHealth technology could be most helpful in self-care and least helpful in the diagnosis of COVID-19. Regarding the functionalities of the mobile application, the results showed that the use of patient decision aids can be most helpful in self-care and the use of computer games can be least helpful in treatment. The participants believed that mHealth is more effective in monitoring and screening dimensions and less effective in providing remote services. Conclusions: This study showed that healthcare professionals believed that mHealth technology could have a better contribution to self-care for patients with COVID-19. Therefore, it is better to plan and invest more in the field of self-care to help patients to combat COVID-19. The results of this study revealed which mhealth functionalities work better in four domains of prevention, treatment, self-care, and diagnosis of COVID-19. This can help healthcare authorities to implement appropriate IT-based interventions to combat COVID-19.

The role of e-health on the public knowledge and behavior in preventing COVID-19.

Background: Electronic health (e-health) technologies play an important role in improving public knowledge and behavior to control the COVID-19 pandemic. The present study aimed to investigate the role of e-health on the public knowledge and behavior in preventing COVID-19 in Kerman, a city in Iran. Methods: The present descriptive cross-sectional study used an online survey in Kerman in November 2021. The research instrument was a tripartite questionnaire that included demographic information, the level of respondents' knowledge about COVID-19, the extent of change in respondents' behavior influenced by e-health. Negative binomial regression analysis was run to test the relationship between individual characteristics and the research variables with knowledge and behavior. Spearman correlation test was used to measure the correlation between the two main parts of the survey. Results: As the negative binomial regression analysis results showed, the relationship between no demographic variable and the public knowledge and behavior was statistically significant (p < 0.001). The mean knowledge and behavior scores were 5.84 ± 2.55 and 11.95 ± 5.09, respectively, showing that people who used e-health had a high level of knowledge, and taking preventive measures was at a high level. The Spearman correlation coefficient test results showed a positive association between knowledge and behavior (r = 0.71). Conclusion: E-health played a decisive role in increasing knowledge and improving behavior in preventing COVID-19. The results of our research can encourage the use of e-health to improve the public knowledge and behavior in pandemics such as COVID-19.

The use of various appointment systems among patients visiting academic outpatient centers in Kerman and the evaluation of patients' perspective and satisfaction.

BACKGROUND: To optimize appointment systems, it is necessary to assess their users' perspectives. This study aims to determine the use of various appointment systems among patients in academic outpatient centers and to investigate their perspectives and satisfaction. METHODS: This survey study was conducted on 332 patients or those accompanying patients in academic outpatient centers. A five-part questionnaire consisting of (1) demographic information, (2) willingness to use systems, (3) problems when using these systems, (4) problems after reserving the appointment, (5) recommendations and critics was used. The relationship between the system of interest and the available tools was examined by the Chi-square test, and the relationship between demographic characteristics and satisfaction was assessed using multiple regression. RESULTS: The participants' overall satisfaction towards appointment systems, regardless of the type of system, was 49.12 ± 16.04 (out of 100). Satisfaction with the appointment system using Unstructured Supplementary Service Data (USSD) was significantly higher than the other two systems (p = 0.03). Web-based application and Interactive Voice Response (IVR) were the most frequently used systems with 61% and 48%, respectively. More than half of those who had access to a telephone (56%) preferred the IVR appointment system, and most of those who had Internet access (71%) preferred the web-based application (p < 0.05). Among 137 participants who had access to both the Internet and telephone, 49% (n = 67) stated that they would rather arrange their appointment through the web-based application. CONCLUSION: The web-based application and IVR are the most frequently used and favorable appointment system among the patients or those accompanying patients. Despite the availability of the infrastructure, the participant had moderate satisfaction with these systems due to their failures. Therefore, to have more efficient systems and increase patients or those accompanying patients satisfaction with these systems, healthcare authorities should have a plan to solve the problems of these systemes and use the capacity of information resources to inform the community regarding these systems.

Barriers and challenges of using health information technology in home care: A systematic review.

OBJECTIVE: Despite the benefits of applying Information technology (IT) in-home care some challenges may affect the quality of the services. To deal with these challenges, it is required to identify them before providing such services. Therefore, the aim of this study is to systematically determine the challenges and barriers of using health IT in-home care. Moreover, the possible solutions reported in the included studies were examined. MATERIALS AND METHODS: We performed a systematic search of the PubMed, Web of Science, and Embase databases for studies published between January 2010 and January 2020. For quality assessment of the included articles the Critical Appraisal Skills Programme and the Effective Public Health Practice Project checklists were used. The Supporting the Use of Research Evidence (Supporting the Use of Research Evidence (SURE)) framework was used to categorise the identified barriers and challenges. RESULTS: Of 1755 retrieved studies, 47 studies were included. The main barriers and challenges based on the SURE framework were categorised to Facilities (n = 35), Legislation or regulations (n = 19), Knowledge and skills (n = 18), Attitudes regarding programme acceptability, appropriateness and credibility (n = 16), Financial resources (n = 10), Motivation to change (n = 9), and External communication (n = 8). Studies mostly provided solutions regarding challenges related to the usability and functionality of the applied technology. CONCLUSIONS: The results of this study can help policy-makers and managers of health care organisations to be informed regarding the existing barriers, and implement safer and more effective home care systems. Awareness regarding barriers and potential challenges can help to provide optimal IT-based interventions and facilitate providing home services.