Evidence map›Paper›PMID 38046564›Full record

ReviewOnline journal of public health informatics2023

The Health Impact of mHealth Interventions in India: Systematic Review and Meta-Analysis.

Vibha Joshi, Nitin Kumar Joshi, Pankaj Bhardwaj, Kuldeep Singh, Deepika Ojha, Yogesh Kumar Jain

Abstract readReview
In one paragraph

Review in Online journal of public health informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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.

Vibha JoshiResource Centre Health Technology Assessment All India Institute of Medical Sciences Jodhpur Jodhpur India.ORCID https://orcid.org/0000-0001-9697-6830
Nitin Kumar JoshiSchool of Public Health All India Institute of Medical Sciences Jodhpur Jodhpur India.ORCID https://orcid.org/0000-0002-5106-0455
Pankaj BhardwajSchool of Public Health All India Institute of Medical Sciences Jodhpur Jodhpur India.ORCID https://orcid.org/0000-0001-9960-3060
Kuldeep SinghResource Centre Health Technology Assessment All India Institute of Medical Sciences Jodhpur Jodhpur India.ORCID https://orcid.org/0000-0002-9375-3233
Deepika OjhaResource Centre Health Technology Assessment All India Institute of Medical Sciences Jodhpur Jodhpur India.ORCID https://orcid.org/0009-0004-1725-0513
Yogesh Kumar JainSchool of Public Health All India Institute of Medical Sciences Jodhpur Jodhpur India.ORCID https://orcid.org/0000-0002-1385-4692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Considerable use of mobile health (mHealth) interventions has been seen, and these interventions have beneficial effects on health and health service delivery processes, especially in resource-limited settings. Various functionalities of mobile phones offer a range of opportunities for mHealth interventions. Objective: This review aims to assess the health impact of mHealth interventions in India. Methods: This systematic review and meta-analysis was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies conducted in India, and published between April 1, 2011, and March 31, 2021, were considered. A literature search was conducted using a combination of MeSH (Medical Subject Headings) terms in different databases to identify peer-reviewed publications. Thirteen out of 1350 articles were included for the final review. Risk of bias was assessed using the Risk of Bias 2 tool for RCTs and Risk Of Bias In Non-randomised Studies - of Interventions tool (for nonrandomized trials), and a meta-analysis was performed using RevMan for 3 comparable studies on maternal, neonatal, and child health. Results: The meta-analysis showed improved usage of maternal and child health services including iron-folic acid supplementation (odds ratio [OR] 14.30, 95% CI 6.65-30.75), administration of both doses of the tetanus toxoid (OR 2.47, 95% CI 0.22-27.37), and attending 4 or more antenatal check-ups (OR 1.82, 95% CI 0.65-5.09). Meta-analysis for studies concerning economic evaluation and chronic diseases could not be performed due to heterogeneity. However, a positive economic impact was observed from a societal perspective (ReMiND [reducing maternal and newborn deaths] and ImTeCHO [Innovative Mobile Technology for Community Health Operation] interventions), and chronic disease interventions showed a positive impact on clinical outcomes, patient and provider satisfaction, app usage, and improvement in health behaviors. Conclusions: This review provides a comprehensive overview of mHealth technology in all health sectors in India, analyzing both health and health care usage indicators for interventions focused on maternal and child health and chronic diseases. Trial Registration: PROSPERO 2021 CRD42021235315; https://tinyurl.com/yh4tp2j7.

Indexed as

cost-benefit analysisIndiamobile applicationsmobile appspatient satisfactionpregnancytechnologytelemedicine

Identifiers

PMID38046564
PMCPMC10689051

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.