Evidence map›Paper›PMID 40755939›Full record

ReviewmHealth2025

Be smart and use smartphones for telemedicine: narrative review.

Yossef Alnasser, Nicole Grande, Fakeha Masood, Cadina Powell, Robert H Gilman

Abstract readReview
In one paragraph

Review in mHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Role of telemedicine in cardiovascular care in low- and middle-income countries (LMICs).American heart journal plus : cardiology research and practice · 2026
    Review
  3. Review
  4. Article
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.

Yossef AlnasserDepartment of Pediatrics, BronxCare Health System, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nicole GrandeAmerican University of the Caribbean School of Medicine, Cupecoy, Sint Maarten.
Fakeha MasoodDepartment of Pediatrics, BronxCare Health System, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Cadina PowellAmerican University of Antigua College of Medicine, University Park Jabberwock Beach Road, Coolidge, Antigua and Barbuda.
Robert H GilmanInternational Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: With the evolution of technology, the delivery modes of healthcare have been completely transformed. Since the first use of telemedicine in the late 20th century, it has continued to evolve with advancement of technology. Today, telemedicine does not need sophisticated equipment and expensive platforms. Using a singular device to offer a wide range of services is both desired and necessary to provide higher-quality care at greater quantities. The inclusion of smartphone-telemedicine in many high-income countries proves a plausible framework to build upon for inclusion in low- and middle-income countries (LMIC). The primary goal of this review is to analyze existing literature on smartphone-based telemedicine and assess the scalability of this form of care to provide both accessible and equal care for all. Methods: This is a narrative review that analyzed English published literature in PubMed, Medline, Cochrane Reviews, and Google Scholar over the last 50 years. Key Content and Findings: Smartphone-based telemedicine can be divided mainly to mHealth and teleconsultation. Both applications are proven cost-effective at different extents and can augment health in different capacities. While mHealth is more suitable for health behavior change, smartphone teleconsultations can be employed in direct patient care. Smartphones' applicability to different settings and flexibility make them ideal for telemedicine. This form of telemedicine might be more suitable for low-resource settings and LMIC due to compatibility with current infrastructure, ease of use, lower cost and high availability. However, ease of use comes with risk of overutilization and providers' burnout. Privacy, digital divide and health literacy are other barriers of accessing smartphone-based telemedicine. Growing smartphone penetration and technology advancement carry future potentials for scaling up smartphone telemedicine in LMIC to advance equity and equality. Still, policies and regulations need to be implemented to protect privacy while using smartphones for telemedicine. Conclusions: Smartphone-based telemedicine is an applicable form of telemedicine for low-resource settings and LMIC. Not all mHealth applications are suitable for LMIC, but investing in smartphone-based telemedicine for teleconsultation can save lives and lower the cost of care to reach everyone efficiently without a huge burden in a cost-effective manner for many LMIC.

Indexed as

cost-effectiveefficientlow- and middle-income countries (LMIC)Smartphonetelemedicine

Identifiers

PMID40755939
PMCPMC12314669

What OpenQuestion 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 OpenQuestion graph.