๐ง ๐๐ผ ๐ฑ๐ถ๐ด๐ถ๐๐ฎ๐น ๐ต๐ฒ๐ฎ๐น๐๐ต ๐ถ๐ป๐๐ฒ๐ฟ๐๐ฒ๐ป๐๐ถ๐ผ๐ป๐ ๐ฟ๐ฒ๐ฎ๐น๐น๐ ๐ถ๐บ๐ฝ๐ฟ๐ผ๐๐ฒ ๐ต๐ฒ๐ฎ๐น๐๐ต ๐น๐ถ๐๐ฒ๐ฟ๐ฎ๐ฐ๐? ๐ข๐๐ฟ ๐ป๐ฒ๐ ๐๐๐๐๐ฒ๐บ๐ฎ๐๐ถ๐ฐ ๐ฟ๐ฒ๐๐ถ๐ฒ๐ ๐๐ฎ๐๐: ๐ฝ๐ฟ๐ผ๐บ๐ถ๐๐ถ๐ป๐ด, ๐ฏ๐๐ ๐๐ต๐ฒ ๐ฒ๐๐ถ๐ฑ๐ฒ๐ป๐ฐ๐ฒ ๐ถ๐ ๐๐ต๐ถ๐ป๐ป๐ฒ๐ฟ ๐๐ต๐ฎ๐ป ๐๐ผ๐โ๐ฑ ๐๐ต๐ถ๐ป๐ธ.
Our review, now out in Monolith Alpha, screened 1,029 records across PubMed, IEEE and ACM (2013-2024) and included 39 studies, mapped against the WHO Classification of Digital Health Interventions and graded with the Oxford Levels of Evidence.
What stood out:
๐น Apps, web platforms, multimedia tools and telehealth often improved health knowledge and eHealth literacy, but results varied by age and socioeconomic status.
๐น Evidence quality is limited: 64.1% of studies sit at Oxford Level 4, 20.5% at Level 1, and only 10.3% at Level 2 (RCTs).
๐น 53.8% of studies came from North America, with none from Africa or South America. Ethnic minorities and underserved groups featured in only 17.9%.
๐น No interventions targeted health system managers (WHO Domain 3).
๐น Literacy gains often faded without continued reinforcement, and few studies linked them to behavioral outcomes.
๐น User-centered design and cultural tailoring look promising, but the evidence canโt yet show that specific features, like gamification, are superior.
โ ๏ธ ๐๐ก๐ ๐ญ๐๐ค๐๐๐ฐ๐๐ฒ: ๐๐๐๐จ๐ซ๐ ๐ฌ๐๐๐ฅ๐ข๐ง๐ ๐๐ข๐ ๐ข๐ญ๐๐ฅ-๐๐ข๐ซ๐ฌ๐ญ ๐ก๐๐๐ฅ๐ญ๐ก ๐ฉ๐จ๐ฅ๐ข๐๐ข๐๐ฌ, ๐ฐ๐ ๐ง๐๐๐ ๐ฌ๐ญ๐๐ง๐๐๐ซ๐๐ข๐ณ๐๐ ๐จ๐ฎ๐ญ๐๐จ๐ฆ๐ ๐ฆ๐๐๐ฌ๐ฎ๐ซ๐๐ฌ, ๐ฅ๐จ๐ง๐ ๐๐ซ ๐๐จ๐ฅ๐ฅ๐จ๐ฐ-๐ฎ๐ฉ, ๐๐ง๐ ๐ ๐ซ๐๐๐ฅ ๐๐๐๐จ๐ซ๐ญ ๐ญ๐จ ๐๐ฅ๐จ๐ฌ๐ ๐๐ข๐ ๐ข๐ญ๐๐ฅ ๐๐ช๐ฎ๐ข๐ญ๐ฒ ๐ ๐๐ฉ๐ฌ.
๐ Read the full paper: https://monolithalpha.org/articles/1782718429935
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