Evidence map›Paper›PMID 37541739›Full record

ArticleBMJ health & care informatics2023

Telehealth interventions during COVID-19 pandemic: a scoping review of applications, challenges, privacy and security issues.

Muhammad Tukur, Ghassan Saad, Fahad M AlShagathrh, Mowafa Househ, Marco Agus

Registry-linked trialOpen access · goldAbstract readScoping Review
In one paragraph

Article in BMJ health & care informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06401252 (Effects Of Mindfulness-Based Intervention on Psychological Health Among Jordanian Nurses Taking Care Patients With Covid-19), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06401252 nacompletednot on this map

Effects Of Mindfulness-Based Intervention on Psychological Health Among Jordanian Nurses Taking Care Patients With Covid-19

TypeinterventionalSponsorJordan University of Science and TechnologyRan2022 to 2024Enrolled102ConditionsPsychological Well-Being, Nurse's RoleArmsMindfulness-based intervention
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 2 countries.

Muhammad TukurICT, Hamad Bin Khalifa University College of Science and Engineering, Doha, Qatar magus@hbku.edu.qa mutu15902@hbku.edu.qa.ORCID http://orcid.org/0000-0003-1103-9659
Ghassan SaadICT, Hamad Bin Khalifa University College of Science and Engineering, Doha, Qatar.
Fahad M AlShagathrhICT, Hamad Bin Khalifa University College of Science and Engineering, Doha, Qatar.
Mowafa HousehICT, Hamad Bin Khalifa University College of Science and Engineering, Doha, Qatar.
Marco AgusICT, Hamad Bin Khalifa University College of Science and Engineering, Doha, Qatar magus@hbku.edu.qa mutu15902@hbku.edu.qa.
Hamad bin Khalifa University · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19, caused by the SARS-CoV-2 virus, proliferated worldwide, leading to a pandemic. Many governmental and non-governmental organisations and research institutes are contributing to the COVID-19 fight to control the pandemic. MOTIVATION: Numerous telehealth applications have been proposed and adopted during the pandemic to combat the spread of the disease. To this end, powerful tools such as artificial intelligence (AI)/robotic technologies, tracking, monitoring, consultation apps and other telehealth interventions have been extensively used. However, there are several issues and challenges that are currently facing this technology.

objectiveThe purpose of this scoping review is to analyse the primary goal of these techniques; document their contribution to tackling COVID-19; identify and categorise their main challenges and future direction in fighting against the COVID-19 or future pandemic outbreaks.

methodsFour digital libraries (ACM, IEEE, Scopus and Google Scholar) were searched to identify relevant sources. Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) was used as a guideline procedure to develop a comprehensive scoping review. General telehealth features were extracted from the studies reviewed and analysed in the context of the intervention type, technology used, contributions, challenges, issues and limitations.

resultsA collection of 27 studies were analysed. The reported telehealth interventions were classified into two main categories: AI-based and non-AI-based interventions; their main contributions to tackling COVID-19 are in the aspects of disease detection and diagnosis, pathogenesis and virology, vaccine and drug development, transmission and epidemic predictions, online patient consultation, tracing, and observation; 28 telehealth intervention challenges/issues have been reported and categorised into technical (14), non-technical (10), and privacy, and policy issues (4). The most critical technical challenges are: network issues, system reliability issues, performance, accuracy and compatibility issues. Moreover, the most critical non-technical issues are: the skills required, hardware/software cost, inability to entirely replace physical treatment and people's uncertainty about using the technology. Stringent laws/regulations, ethical issues are some of the policy and privacy issues affecting the development of the telehealth interventions reported in the literature.

conclusionThis study provides medical and scientific scholars with a comprehensive overview of telehealth technologies' current and future applications in the fight against COVID-19 to motivate researchers to continue to maximise the benefits of these techniques in the fight against pandemics. Lastly, we recommend that the identified challenges, privacy, and security issues and solutions be considered when designing and developing future telehealth applications.

Indexed as

COVID-19TelemedicineArtificial IntelligenceHumansPandemicsPrivacyReproducibility of ResultsSARS-CoV-2COVID-19global healthhealth information systemsmedical informatics applicationstelemedicine

Identifiers

PMID37541739
PMCPMC10407386
OpenAlexW4385610999

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.