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AI Qualitative Analysis: Hajj Sun Protection Insights

Evidano8 min read

Health researchers studying mass gatherings must distinguish what participants say about heat, ultraviolet radiation, culture, and access from the interventions that may address those concerns. AI qualitative analysis can help researchers organize interview transcripts, compare participant groups, and identify themes without losing the language and context of lived experience. The November 11, 2026 study published in PLoS One offers a useful example: researchers interviewed 16 Saudi pilgrims and 13 registered nurses about sun protection during Hajj. This article explains the study's findings and shows how AI-assisted qualitative workflows can support public health, nursing, and UX research teams. The discussion is research-focused and non-diagnostic.

Key Takeaways

According to the November 11, 2026 PLoS One study, Hajj pilgrims and nurses recognized sun exposure as a serious concern but had limited knowledge of ultraviolet radiation, UPF-rated products, and the difference between heat protection and UV protection.

The qualitative analysis of Hajj sun protection identified five themes from interviews conducted between June 20 and July 11, 2025: physical and emotional effects, knowledge gaps, cultural influences, practical barriers, and recommendations.

  • The study interviewed 29 people in total, including 16 Saudi pilgrims and 13 registered nurses, between June 20 and July 11, 2025.
  • The researchers reported that thematic saturation was reached after 16 pilgrim interviews and 13 nurse interviews, with the final two to three interviews in each group adding no new codes.
  • Participants commonly understood sun exposure as a heat problem, while UV-specific harms and UPF labels were less familiar, according to the November 11, 2026 PLoS One study.
  • Language differences, product cost, limited availability, clothing norms, discomfort, and forgotten umbrellas were reported as barriers to protection during Hajj.
  • The study's participants recommended multilingual education before travel, improved access to affordable protective products, and culturally appropriate communication.

What the Hajj Qualitative Study Found

The November 11, 2026 PLoS One study used retrospective semi-structured interviews conducted through Zoom within approximately one month after the 2025 Hajj season. The researchers interviewed 16 Saudi pilgrims and 13 registered nurses who had worked in hospitals in Makkah and Madinah.

The researchers analyzed the interviews with Braun and Clarke's six-phase thematic analysis approach and used member checking, investigator triangulation, audit trails, and peer debriefing to support trustworthiness. The researchers also reported that Arabic interviews were translated into English and that an independent researcher audited a random 20% sample of translated transcripts.

Participants described exhaustion, dizziness, dehydration, fainting, irritability, and stress in relation to intense heat. One nurse said, "Some of my colleagues and pilgrims got heat exhaustion and fainted." The study authors clarified that these accounts primarily described heat-related illness rather than direct UV-specific effects.

The study found that participants often lacked familiarity with UPF-rated clothing, UV-protective umbrellas, and the UV index. One participant summarized the knowledge gap by saying, "Everyone knows the sun is harmful, but I don’t think we understand how exactly."

Cultural and religious interpretations also shaped behavior. One nurse explained that some older pilgrims believed "enduring the sun is part of the spiritual challenge, " while other participants described umbrella use as increasingly accepted during Hajj.

The study's interview design captured recalled experiences rather than directly observed behavior. The authors also limited the pilgrim sample to Saudi nationals during one Hajj season, so the findings should not be treated as representative of all international pilgrims.

Findings Snapshot: AI Qualitative Analysis Context

Date or periodMetricValueResearch implication
June 20 to July 11, 2025Interview period22 daysThe interviews occurred within approximately one month after the 2025 Hajj season, supporting recent recall while retaining the limits of retrospective reporting.
2025 Hajj seasonPilgrim participants16 Saudi pilgrimsThe pilgrim group provided context-specific accounts but did not represent the broader international Hajj population.
2025 Hajj seasonNurse participants13 registered nursesThe nurse group added professional observations about communication, education, and care delivery.
2025 Hajj seasonTotal sample29 interviewsThe study combined pilgrim and nurse perspectives in one qualitative dataset.
November 11, 2026Themes identified5 major themesThe thematic structure connected health effects, awareness, culture, barriers, and proposed interventions.
During analysis of the 2025 interviewsTranslation quality audit20% random sampleThe audit compared translated transcripts and quotations with the original Arabic recordings.

Implications for Public Health and Healthcare Researchers

Public health researchers should treat heat-related illness and UV-related harm as connected but distinct communication problems, according to the November 11, 2026 PLoS One study. Hydration, rest, and cooling address heat risk, while sunscreen and UPF-rated clothing or umbrellas address UV exposure; shade can contribute to protection from both hazards.

Health communication teams should test whether multilingual, visual, and culturally appropriate messages improve understanding before and during Hajj. The study's participants specifically recommended education in pilgrims' home countries and clearer information about UV-protective products before travel.

Nursing education should include environmental health communication for mass gatherings, according to the study's nurse participants. The interviews identified language barriers, limited formal training, and the difficulty of explaining protection quickly in crowded settings.

Researchers should preserve subgroup differences during analysis. The November 11, 2026 PLoS One study found that nurses emphasized systemic and communication barriers, while pilgrims more often emphasized cost, comfort, availability, and forgetting protective items.

Qualitative teams should separate participant perceptions from validated intervention effects. The study presented distribution points, official Hajj-kit products, and breathable protective clothing as participant recommendations, not as interventions tested for effectiveness.

How Evidano Helps With Qualitative Analysis of Hajj Research

Slow transcript synthesis becomes structured thematic analysis

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

Evidano can support thematic analysis by organizing large collections of transcripts into themes, codes, and subcodes, helping researchers review recurring patterns such as UV knowledge gaps, cultural beliefs, and access barriers. Researchers can learn more about Evidano's qualitative analysis features.

Human researchers remain responsible for interpreting context, checking quotations, and deciding whether an emerging theme is analytically credible.

Differences between pilgrims and nurses become cross-segment findings

Evidano can help researchers compare segments such as pilgrims and nurses, making it easier to examine where groups converge and where their explanations differ.

A cross-segment workflow could compare mentions of language barriers, product cost, religious interpretation, clothing constraints, and recommendations for pre-travel education.

Multilingual interviews require careful translation review

The November 11, 2026 PLoS One study included Arabic interviews, one English-language nurse interview, English translations, and an audit of 20% of translated transcripts.

Evidano's translation tools can help teams process multilingual qualitative data with custom dictionaries, while researchers should still review culturally important terms, translated quotations, and meaning shifts against the original language. Details about Evidano's translation workflow are available for research teams working across languages.

Evidence review becomes easier to audit

Evidano can let researchers chat with uploaded documents and analyses to locate supporting excerpts, compare themes, and investigate how conclusions connect to source material.

For health research, teams should use AI outputs as an analytical aid rather than a substitute for consent procedures, reflexivity, member checking, translation review, or ethical oversight.

FAQ: AI Qualitative Analysis for Hajj Sun Protection Research

What did the Hajj sun protection study investigate?

The study investigated how pilgrims and nurses understood and practiced sun protection during Hajj. According to the November 11, 2026 PLoS One article, the interviews covered awareness, attitudes, behaviors, UPF-rated products, cultural influences, and practical barriers.

How many people participated in the qualitative Hajj study?

The study included 29 participants: 16 Saudi pilgrims and 13 registered nurses. The researchers conducted the interviews between June 20 and July 11, 2025, and assessed saturation separately for the two participant groups.

What were the five themes in the study?

The five themes were physical and emotional effects of sun exposure, limited awareness and knowledge gaps, attitudes and cultural influences, barriers to sun protection, and recommendations for improvement. The November 11, 2026 PLoS One study developed these themes through inductive thematic analysis.

Why should researchers distinguish heat risk from UV risk?

Researchers should distinguish heat risk from UV risk because the hazards have different symptoms and protective responses. The study linked dehydration, dizziness, exhaustion, and fainting primarily to heat, while sunscreen and UPF-rated products were discussed as measures for UV exposure.

Can AI replace human thematic analysis in health research?

AI can accelerate coding, synthesis, comparison, and retrieval, but AI should not replace human judgment in health research. The study's use of member checking, investigator triangulation, translation auditing, and reflexive analysis illustrates why researchers must validate AI-assisted interpretations against the original data and study context.

Conclusion and Next Steps

The November 11, 2026 PLoS One study shows how qualitative interviews can reveal the difference between recognizing sun exposure as uncomfortable and understanding the specific risks of UV radiation. The study also demonstrates why public health teams need subgroup comparisons, multilingual analysis, and careful separation of participant recommendations from tested interventions.

AI qualitative analysis can help researchers move from 29 interviews to a traceable view of themes, barriers, quotations, and differences between pilgrims and nurses. Evidano supports this workflow by combining thematic analysis, cross-segment review, multilingual processing, and AI chat over research documents.

Researchers who want to analyze interviews, open-ended survey responses, or health documents more efficiently can Try Evidano for free.

Topics

  • AI qualitative analysis
  • qualitative analysis of Hajj sun protection
  • AI thematic analysis
  • healthcare qualitative research
  • qualitative interview analysis

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