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BackgroundCOVID-19, the disease caused by the novel coronavirus SARS-CoV-2, has become a global pandemic, affecting most countries worldwide. Digital health information technologies can be applied in three aspects, namely digital patients, digital devices, and digital clinics, and could be useful in fighting the COVID-19 pandemic. ObjectiveRecent reviews have examined the role of digital health in controlling COVID-19 to identify the potential of digital health interventions to fight the disease. However, this study aims to review and analyze the digital technology that is being applied to control the COVID-19 pandemic in the 10 countries with the highest prevalence of the disease. MethodsFor this review, the Google Scholar, PubMed, Web of Science, and Scopus databases were searched in August 2020 to retrieve publications from December 2019 to March 15, 2020. Furthermore, the Google search engine was used to identify additional applications of digital health for COVID-19 pandemic control. ResultsWe included 32 papers in this review that reported 37 digital health applications for COVID-19 control. The most common digital health projects to address COVID-19 were telemedicine visits (11/37, 30%). Digital learning packages for informing people about the disease, geographic information systems and quick response code applications for real-time case tracking, and cloud- or mobile-based systems for self-care and patient tracking were in the second rank of digital tool applications (all 7/37, 19%). The projects were deployed in various European countries and in the United States, Australia, and China. ConclusionsConsidering the potential of available information technologies worldwide in the 21st century, particularly in developed countries, it appears that more digital health products with a higher level of intelligence capability remain to be applied for the management of pandemics and health-related crises.

This study aimed to evaluate the efficacy of a web-based health information intervention on knowledge, care burden and attitudes of family caregivers of patients with dementia. This study is a unblinded randomised controlled trial. The study population consisted of family caregivers of patients with dementia (n = 50) which were randomly allocated to the intervention group (access to the web-based health information) or control group (access to information as usual). The participants completed knowledge, care burden and attitude questionnaire at baseline and at two months follow-up. A total of 50 caregivers participated in this study. Before the intervention, there was no statistically significant difference between the knowledge, care burden and attitude score between the two groups. In comparison to the control group after the intervention, participants in the intervention group showed significant improvements in all outcomes. These findings provide further evidence that web-based information interventions helped caregivers feel more confident, empathetic and concerned about dementia care with less care burden. [ABSTRACT FROM AUTHOR]

Background and Aims: Due to the COVID‐19 pandemic, a precise and reliable diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can help facilitate the diagnosis of COVID‐19. This scoping review aimed to investigate the role of CDSS in diagnosing COVID‐19. Methods: We searched four databases (Web of Science, PubMed, Scopus, and Embase) using three groups of keywords related to CDSS, COVID‐19, and diagnosis. To collect data from studies, we utilized a data extraction form that consisted of eight fields. Three researchers selected relevant articles and extracted data using a data collection form. To resolve any disagreements, we consulted with a fourth researcher. Results: A search of the databases retrieved 2199 articles, of which 68 were included in this review after removing duplicates and irrelevant articles. The studies used nonknowledge‐based CDSS (n = 52) and knowledge‐based CDSS (n = 16). Convolutional Neural Networks (CNN) (n = 33) and Support Vector Machine (SVM) (n = 8) were employed to design the CDSS in most of the studies. Accuracy (n = 43) and sensitivity (n = 35) were the most common metrics for evaluating CDSS. Conclusion: CDSS for COVID‐19 diagnosis have been developed mainly through machine learning (ML) methods. The greater use of these techniques can be due to their availability of public data sets about chest imaging. Although these studies indicate high accuracy for CDSS based on ML, their novelty and data set biases raise questions about replacing these systems as clinician assistants in decision‐making. Further studies are needed to improve and compare the robustness and reliability of nonknowledge‐based and knowledge‐based CDSS in COVID‐19 diagnosis. [ABSTRACT FROM AUTHOR]

Background: Due to its ethical approach and its protection of patients and their interests, quaternary prevention can increase the quality‑of‑service provision and decrease costs and the wastage of resources. The present study used interpretive structural modeling (ISM) to classify the effective factors and determine a quaternary prevention model for Iran’s Rural Family Physician Program. Methods: This study was a qualitative study with an ISM approach. Twenty‑five health system experts and faculty members participated in the study. The interrelationships between the factors were determined using ISM, and after classification, the driving and dependence power of the factors were specified using MICMAC analysis. Results: The 20 factors were classified into five levels. The results indicated that patient interest and vulnerable groups had the highest effectiveness, and officials’ and policymakers’ commitment to providing serious support for family physicians had the highest affectability. The factors were placed into the two groups of linkage and dependence based on the MICMAC analysis. Conclusions: The new technologies are costly and sometimes only suitable for a specific group of patients. Costs and the issues of induced demand and defensive medicine necessitate a different view of health service distribution. The preventive and strategic view and the comprehensiveness of family physician services make quaternary prevention possible by providing high‑risk and vulnerable groups with essential services based on patient needs and conditions with more benefit than harm. [ABSTRACT FROM AUTHOR]