ArticleJournal of global health2025
Mapping respiratory health digital interventions in South and Southeast Asia: a scoping review.
Article in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The growing burden of respiratory disease, particularly in Asia, where mortality is higher and awareness and policy engagement lag, could be mitigated through rapidly advancing digital health tools that offer opportunities for improved management, prevention, and personal health empowerment. We aimed to map the existing evidence, technologies, opportunities, and gaps related to respiratory digital health interventions in South and Southeast Asia and propose relevant recommendations. Methods: We used a scoping review methodology, where we searched MEDLINE, Embase, CINAHL, PsycINFO, Cochrane Library, Web of Science, PakMediNet, and MyMedR along with grey literature databases (ProQuest Thesis and Dissertations, Digital Health Atlas, Global Digital Health Monitor, Global Index Medicus) for reports on any technological interventions for pneumonia, tuberculosis, asthma, chronic obstructive pulmonary disease, and environmentally induced respiratory disease (air quality, smoking). We used the World Health Organization's Classification of Digital Health Interventions to categorise digital interventions and assessed how completely they were reported via the mHealth Evidence Reporting and Assessment checklist. Results: We extracted and analysed data from 87 studies conducted in 14 South and Southeast Asian countries and found that digital health interventions are primarily used for communication with patients and between patients and providers. Interventions targeting tuberculosis were the most numerous. There was a high prevalence of pilot interventions which failed to significantly address the respiratory health needs in the region. Artificial intelligence and machine learning interventions are promising, but lack clear guidelines and adherence to best ethical and equity practices. Conclusions: We collated and synthesised information and knowledge about the current state of digital health interventions. Our findings can inform future interventions so that they are planned, deployed, scaled, and evaluated to have long-lasting positive impacts on population health. Registration: Evans L, Evans J, Fletcher M, Abdullah A, Ahmed Z. Mapping Respiratory Health Digital Interventions in South and Southeast Asia: Protocol for a Scoping Review. 2024;13:e52517.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.