Evidence map›Paper›PMID 40346715›Full record

ArticleArchives of public health = Archives belges de sante publique2025

An overview of reviews on digital health interventions during COVID- 19 era: insights and lessons for future pandemics.

Foziye Tahmasbi, Esmaeel Toni, Zohreh Javanmard, Niloofar Kheradbin, Somayeh Nasiri, Farahnaz Sadoughi

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Foziye TahmasbiDepartment of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences (IUMS), Tehran, Iran.ORCID http://orcid.org/0000-0002-8813-2539
Esmaeel ToniStudent Research Committee, School of Health Management and Information Sciences, Iran University of Medical Sciences (IUMS), Tehran, Iran.ORCID http://orcid.org/0000-0001-5156-2853
Zohreh JavanmardDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0001-7111-138X
Niloofar KheradbinLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Sur-Alzette, Luxembourg.ORCID http://orcid.org/0000-0001-9015-5724
Somayeh NasiriDepartment of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences (IUMS), Tehran, Iran.ORCID http://orcid.org/0000-0003-1460-7025
Farahnaz SadoughiDepartment of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences (IUMS), Tehran, Iran. sadoughi.f@iums.ac.ir.ORCID http://orcid.org/0000-0002-7452-0864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID- 19 pandemic has significantly impacted global health, underscoring the crucial role of digital health solutions. The World Health Organization's Classification of Digital Interventions, Services, and Applications in Health (CDISAH) provides a framework for categorizing these technologies. This study aims to analyze the adoption and trends of digital health interventions during the COVID- 19 pandemic, mapping them to the CDISAH framework to identify the most and least utilized interventions and technologies.

methodsThis overview-of-reviews study was conducted from 1 st January 2020 to 30 th December 2023, focusing on systematic reviews and meta-analyses retrieved from the Cochrane Database of Systematic Reviews, PubMed, Scopus, Web of Science, IEEE Xplore, and ProQuest. Additionally, gray literature was identified through searches on the Google Scholar platform and reviewing the citations and reference lists of the included studies. The findings were qualitatively mapped to the CDISAH framework.

resultsA total of 64 review articles were analyzed. A content analysis of the included studies identified 292 codes related to healthcare providers, 257 codes related to data services, 88 codes related to individuals, and 43 codes related to health management and support personnel. The results revealed that the most frequent interventions were associated with telemedicine and data management subcategories, while gaps were identified in areas such as individual-based data reporting during the pandemic, highlighting the need for individuals to take a more active role in managing their own health in preparation for future crises.

conclusionsThis study identifies both the strengths and weaknesses of the current digital health landscape. It emphasizes the transformative impact of digital health technologies during the COVID- 19 pandemic and provides a roadmap for future improvements in digital health interventions. By providing a comprehensive overview of digital health during this period, the study underscores the importance of implementing robust digital health strategies within the healthcare system to address existing gaps, leverage strengths, and enhance preparedness and resilience in future public health crises.

Indexed as

COVID- 19Digital healthDigital health intervention classificationHealth Policy

Identifiers

PMID40346715
PMCPMC12063330

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.