Evidence map›Paper›PMID 42370015›Full record

ReviewDigital health

Exploring the determinants of engagement in the context of mHealth and social media among young people: A systematic literature review.

Moses Private Mbetse, Bester Chimbo, Lario Malungana

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Moses Private MbetseDepartment of Information Systems, School of Computing, College of Science, Engineering and Technology, University of South Africa, Pretoria, South Africa.ORCID https://orcid.org/0009-0009-9152-5489
Bester ChimboDepartment of Information Systems, School of Computing, College of Science, Engineering and Technology, University of South Africa, Pretoria, South Africa.ORCID https://orcid.org/0000-0003-1916-0090
Lario MalunganaDepartment of Information Systems, School of Computing, College of Science, Engineering and Technology, University of South Africa, Pretoria, South Africa.ORCID https://orcid.org/0000-0001-5981-6774

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Integration of social media (SM) with mobile health (mHealth) platforms presents significant potential to address the persistent challenge of disengagement in digital health interventions among young people. However, empirical evidence supporting this combined approach remains limited, as SM and mHealth are often examined in isolation. This systematic review aimed to identify and synthesise the determinants influencing the participation in SM and mHealth interventions for behaviour change among young people aged 14 to 35 years. Methods: A systematic search of Scopus, Web of Science, PubMed, and the ACM Digital Library was conducted to identify peer-reviewed empirical studies published between 2019 and 2024. The review followed the PRISMA framework. Eligible studies examined health behaviour interventions that employ mobile or web-based platforms accessible via smartphones or wearables. Thematic synthesis drew on constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Expectation-Confirmation Model (ECM) to interpret determinants of engagement. Results: Twenty studies met the inclusion criteria, representing diverse geographical contexts, with 35% from the USA and 15% each from South Africa and Australia, while other regions contributed 10% and 5% each. Sexual and reproductive health (55%) was the most common intervention focus above other health domains. Determinants of sustained engagement were identified at three levels: (i) user-level (ii) intervention-level and (iii) contextual-level factors. Engagement was highest when interventions aligned with behavioural readiness, provided peer-reinforced support, and offered user-centred adaptive design. Conversely, digital inequities, privacy concerns, and commercial algorithmic bias constrained participation in low-resource settings. Conclusion: Sustained engagement depends on user motivation, health awareness, cultural and gender sensitivity, and equitable digital access. While integration improves behavioural adherence through social reinforcement and personalisation, risks linked to data privacy, misinformation, and commercial exploitation necessitate robust ethical governance. Context-responsive, rights-based, and gender-inclusive digital health strategies are essential to ensure equitable participation and sustained behavioural outcomes among young people.

Indexed as

behaviour changebehaviour outcomesdigital healthengagementmHealthsocial mediayouth

Identifiers

PMID42370015
PMCPMC13309647

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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.