Evidence map›Paper›PMID 38690573›Full record

ReviewGlobal mental health (Cambridge, England)2024

A systematic review of reviews on the advantages of mHealth utilization in mental health services: A viable option for large populations in low-resource settings.

Mohsen Khosravi, Ghazaleh Azar

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Global mental health (Cambridge, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

2 authors.

Mohsen KhosraviDepartment of Healthcare Management, School of Management and Medical Informatics, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0002-0576-7660
Ghazaleh AzarDepartment of Consultation and Mental Health, Yasuj University of Medical Sciences, Yasuj, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global mental health services face challenges such as stigma and a shortage of trained professionals, particularly in low- and middle-income countries, which hinder access to high-quality care. Mobile health interventions, commonly referred to as mHealth, have shown to have the capacity to confront and solve most of the challenges within mental health services. This paper conducted a comprehensive investigation in 2024 to identify all review studies published between 2000 and 2024 that investigate the advantages of mHealth in mental health services. The databases searched included PubMed, Scopus, Cochrane and ProQuest. The quality of the final papers was assessed and a thematic analysis was performed to categorize the obtained data. 11 papers were selected as final studies. The final studies were considered to be of good quality. The risk of bias within the final studies was shown to be in a convincing level. The main advantages of mHealth interventions were categorized into four major themes: 'accessibility, convenience and adaptability', 'patient-centeredness', 'data insights' and 'efficiency and effectiveness'. The findings of the study suggested that mHealth interventions can be a viable and promising option for delivering mental health services to large and diverse populations, particularly in vulnerable groups and low-resource settings.

Indexed as

delivery of health caredigital healthhealthcare qualityhealth servicesmental healthmHealthpatient-centered caretelehealth

Identifiers

PMID38690573
PMCPMC11058521

What OpenQuestion holds

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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.