Generative AI · Education leadership

Actionable companion · Staff capability and AI literacy

From evidence to district action: Digital health literacy in Somali higher education: a public health agenda for navigating health misinformation and generative AI

AI-assisted editorial implementation guide. The district actions are proposed applications, not findings or recommendations attributed to the original authors. No additional peer review is asserted.

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Evidence and context

Confirm the study population, setting and task before applying its findings to your district.

Original authors’ abstract, reproduced under the linked source license:

Abstract Digital health literacy is becoming a core public-health capability as health information is increasingly encountered through search engines, social media, digital services, and generative artificial intelligence (AI). University students are frequent users of these environments, yet digital access does not necessarily confer the ability to evaluate source credibility, recognize misinformation, judge the limits of AI-generated advice, protect personal data, or know when professional guidance is required. This Perspective argues that digital health literacy in Somali higher education should be treated as both an individual competency and an institutional public-health responsibility. Somalia is strengthening digital health and health-information systems, while direct evidence on digital health literacy among university students remains sparse. Rather than proposing another generic AI-literacy model, we outline an implementation agenda that connects critical health-information appraisal, misinformation resilience, responsible generative-AI use, privacy awareness, and safe escalation with cross-cutting conditions of equity, affordability, language accessibility, trusted institutional information, and faculty capacity. Universities can operationalize this agenda through curriculum integration, clear guidance for health-related AI use, strengthened library and public-health information pathways, and locally relevant evaluation. Research should move beyond self-report-only surveys toward contextually adapted measures, performance-based tasks, multi-institutional studies, and intervention evaluation. Building these capabilities alongside digital infrastructure can help make Somalia’s digital-health transition safer, more equitable, and more accountable. Keywords: digital health equity, digital health literacy, generative artificial intelligence, health misinformation, higher education, public health, Somalia, university students

A 90-day district pilot

  1. Days 1–15 · Appraise. Have the curriculum lead and a teacher read the methods and limitations. Record the study design, sample, comparator, outcomes and evidence gaps. Define a local question that the study can help inform.
  2. Days 16–30 · Design. Run a staff workshop using three authentic lesson-planning tasks. Ask participants to identify hallucinations, revise outputs and document when they reject the tool. Name an accountable owner and set the baseline, success threshold and budget before implementation.
  3. Days 31–60 · Test. Start with a small voluntary cohort, preserve an accessible non-AI route and require teacher review. Use synthetic or de-identified examples; approve data handling and tool terms through district processes.
  4. Days 61–90 · Decide. Measure error-detection accuracy before and after training, preparation time and the quality of the final lesson plans. Compare with baseline, document uncertainty and stop or revise if learning worsens, access is unequal or critical errors persist.

The board decision brief

Report the learning problem, evidence quality, participating population, total cost including review time, measured benefit, errors, access differences and remaining uncertainties. Make a dated recommendation to stop, revise or expand. A positive perception survey alone does not establish learning improvement.

Attribution and reuse

Abdukadir Mohamed Hassan. Digital health literacy in Somali higher education: a public health agenda for navigating health misinformation and generative AI. Frontiers in Public Health (2026-09-18). https://doi.org/10.3389/fpubh.2026.1962463

Companion prepared 2026-10-30. Original authorship and DOI are preserved. The abstract is an attributed source extract; the implementation plan is new AI-assisted editorial material, offered under the same CC BY 4.0 license. This guide has not undergone independent peer review.