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What Hajj Interviews Reveal About Sun Protection Research

Evidano8 min read

Qualitative sun protection research helps public health teams understand why people do or do not follow protective advice. The November 11, 2026 study by Omar Qaladi and colleagues is especially useful for researchers studying mass gatherings, health communication, nursing practice, and culturally informed interventions. The study examined how pilgrims and nurses understood ultraviolet radiation, sunscreen, umbrellas, and ultraviolet protection factor products during Hajj. This post explains what the interviews found, how the researchers built a trustworthy thematic analysis, and how AI-enabled qualitative research can help teams move from transcripts to actionable findings without losing context.

Key Takeaways

According to the November 11, 2026 PLoS One study on sun protection during Hajj, pilgrims and nurses recognized sun exposure as a health concern but often understood it mainly as heat, not as a distinct ultraviolet radiation risk.

The qualitative sun protection research identified five themes: physical and emotional effects, knowledge gaps, cultural influences, practical barriers, and recommendations for improvement. The findings support multilingual pre-Hajj education, affordable protective products, and messages that clearly distinguish heat-related illness from UV-related harm.

  • The study interviewed 29 people, including 16 Saudi pilgrims and 13 registered nurses, between June 20 and July 11, 2025.
  • The researchers reported five major themes after analyzing interviews using Braun and Clarke’s six-phase thematic analysis approach in 2025 and 2026.
  • The study found that UPF-rated clothing and umbrellas were poorly understood, while cost, availability, comfort, language, and cultural clothing norms limited protective behavior.
  • A 2025 Hajj health study cited by the authors found that 26.9% of pilgrims did not use umbrellas in direct sunlight.
  • One participant summarized the knowledge gap by saying, “Everyone knows the sun is harmful, but I don’t think we understand how exactly.”

How the Hajj Qualitative Sun Protection Research Worked

The Qaladi et al. study used a qualitative descriptive design with retrospective, semi-structured interviews conducted through Zoom from June 20 to July 11, 2025, approximately one month after the 2025 Hajj season.

The study included 16 Saudi pilgrims and 13 registered nurses who had worked in hospitals in Makkah and Madinah during Hajj. The researchers used purposive sampling because pilgrims and nurses were expected to provide different perspectives on sun protection.

The researchers transcribed interviews verbatim, translated Arabic interviews into English, audited a random 20% sample of translated transcripts, invited participants to review their transcripts, and used investigator triangulation. These procedures were reported in the November 11, 2026 PLoS One article as safeguards for meaning and trustworthiness.

The research team analyzed transcripts in NVivo 12.6 and followed Braun and Clarke’s six phases: familiarization, initial coding, theme development, theme review, theme definition, and reporting. The researchers assessed saturation separately for pilgrims and nurses, reaching it after 16 pilgrim interviews and 13 nurse interviews.

The study’s design also has limits. The Qaladi et al. article states that the sample included Saudi pilgrims from one Hajj season, so the findings should not automatically represent the broader international pilgrim population. The interviews captured recalled and self-reported behavior rather than directly observed behavior.

Findings Snapshot: What the Hajj Interviews Showed

Date or periodMetric or findingValueImplication for qualitative researchers
June 20 to July 11, 2025Interview period29 interviewsA compact, purposive sample produced detailed accounts from pilgrims and nurses.
2025 Hajj seasonParticipant groups16 pilgrims and 13 nursesCross-segment analysis exposed differences between personal and clinical perspectives.
2025 and 2026 analysisMajor themes5 themesThematic coding connected knowledge, beliefs, barriers, and recommendations.
2025 Hajj research cited by the studyPilgrims not using umbrellas in direct sunlight26.9%Behavioral gaps remained despite the availability of some protective resources.
2025 and 2026 study periodTranslated transcript quality check20% random sampleIndependent translation auditing helped protect conceptual and semantic meaning.

What Public Health and UX Researchers Can Learn

The Hajj interviews show that effective sun protection interventions must address meaning, access, communication, and behavior together, rather than treating awareness as a simple information deficit.

The Qaladi et al. study found that many participants framed sun exposure as a heat problem. Participants described exhaustion, dizziness, dehydration, and fainting, while UV-specific outcomes such as sunburn and eye irritation were raised less often. The distinction matters because hydration, rest, and cooling address heat-related illness, whereas sunscreen and UPF-rated clothing or umbrellas address ultraviolet exposure.

The study found that cultural and religious interpretations influenced protective behavior. Some participants described enduring heat as part of the spiritual challenge of Hajj, while other participants reported that umbrella use had become more socially accepted. The findings suggest that public health messages should work with existing values rather than presenting culture as a fixed obstacle.

The research also identified different priorities by segment. Nurses emphasized multilingual communication, formal training, and systemic barriers, while pilgrims emphasized cost, comfort, availability, and forgetting protective items. Cross-segment qualitative analysis can preserve these differences instead of reducing them to one overall frequency count.

The findings are research-focused and non-diagnostic. Health teams should use the study to design and evaluate prevention communications, not to diagnose individuals or infer behavior beyond the sampled participants.

How Evidano Helps With AI Qualitative Sun Protection Research

Problem: Researchers need to synthesize multilingual interviews without losing meaning

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.

For studies like the Hajj research, Evidano can support transcription, translation, custom terminology, and PII redaction before analysis. Researchers can review source material alongside translated content and maintain a more consistent audit trail across languages. Learn more about Evidano’s transcription and speech-to-text capabilities and translation tools.

Problem: Large interview sets make thematic coding slow

Evidano can generate thematic, content, frequency, and cross-segment analyses from interview transcripts and related documents.

A research team could compare pilgrim and nurse accounts, examine codes such as UV knowledge or product access, and identify where the segments converge or diverge. AI-generated themes should remain subject to researcher review, especially when cultural meaning, translation, and reflexivity affect interpretation.

Problem: Findings are difficult to interrogate after the first analysis

Evidano’s AI chat over documents and analyses can help researchers ask follow-up questions about themes, quotations, barriers, and participant segments without manually searching every transcript.

Researchers can use the analysis workspace to test questions such as which barriers were reported by nurses, which protective products were unfamiliar to pilgrims, and whether recommendations differed by participant group. Explore Evidano’s AI research features.

Problem: Stakeholders need a clear evidence trail

Evidano’s visualizations can show word patterns, co-occurrence relationships, and hierarchical codes with subcodes.

Visual outputs can help public health teams communicate how themes such as language, cost, cultural clothing, and product availability connect. Researchers should validate visual patterns against transcripts and quotations before using them to support policy decisions.

FAQ: Qualitative Sun Protection Research

What did the Hajj qualitative sun protection research find?

The November 11, 2026 PLoS One study found five themes involving physical and emotional effects, knowledge gaps, cultural influences, barriers, and recommendations.

The study reported that participants often understood sun exposure as heat, had limited knowledge of UPF products, and faced barriers involving cost, availability, language, comfort, and cultural clothing.

How many people participated in the Hajj interview study?

The study included 29 participants: 16 Saudi pilgrims and 13 registered nurses.

The researchers interviewed participants between June 20 and July 11, 2025, and assessed saturation separately for the pilgrim and nurse groups.

Why is thematic analysis useful for sun protection research?

Thematic analysis is useful because it identifies recurring meanings, barriers, beliefs, and recommendations in participants’ own accounts.

In the Hajj study, thematic analysis connected individual experiences with broader intervention needs, including multilingual education and better access to protective products.

Can AI analyze qualitative interviews about sun protection?

AI can assist with transcription, translation, coding, thematic analysis, cross-segment comparison, and evidence retrieval in qualitative sun protection research.

Researchers remain responsible for interpreting context, checking quotations, reviewing translations, protecting participant confidentiality, and deciding whether an AI-generated pattern is analytically credible.

What should researchers watch for when analyzing translated interviews?

Researchers should check translated transcripts for conceptual and semantic equivalence rather than relying only on literal word matching.

The Qaladi et al. study addressed this risk by having a second bilingual researcher audit a random 20% sample of translated transcripts and quotations against the original Arabic material.

Conclusion and Next Steps

The Hajj study shows why qualitative sun protection research must examine lived experience, cultural meaning, product access, and communication barriers together. The study’s 29 interviews and five themes provide a focused example of how thematic analysis can turn personal accounts into practical public health recommendations.

AI-enabled qualitative research can make that workflow more manageable by organizing multilingual transcripts, comparing participant segments, surfacing recurring themes, and keeping findings connected to source evidence. Human researchers must still validate interpretations, especially when research involves sensitive health topics and culturally specific experiences.

Teams studying sun safety, mass gatherings, health communication, or user behavior can try Evidano for free to move from qualitative data to clearer, reviewable insight.

Topics

  • qualitative sun protection research
  • AI qualitative research
  • thematic analysis of interviews
  • Hajj health research
  • sun protection awareness

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