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Hajj Findings: Qualitative Research on Sun Protection

Evidano8 min read

Qualitative research on sun protection can reveal why people understand environmental risks but still struggle to act on that knowledge. The audience for this kind of evidence includes public health researchers, healthcare teams, UX researchers, and policy analysts who need to turn interview data into practical interventions. A 2026 study in PLOS One examined how pilgrims and nurses understood UV exposure, sunscreen, umbrellas, and ultraviolet protection factor (UPF) products during Hajj. The study provides a useful model for AI-enabled qualitative research because it combines semi-structured interviews, multilingual transcripts, thematic analysis, participant perspectives, and implementation recommendations. This article summarizes the study’s findings and shows how AI-assisted analysis can help research teams compare segments, identify barriers, and preserve participant language without replacing methodological judgment.

Key Takeaways

According to PLOS One, a qualitative post-Hajj interview study published on November 11, 2026, pilgrims and nurses recognized sun exposure as a problem but often understood it primarily as heat rather than as a separate UV-related health risk. The study identified five themes: physical and emotional effects, awareness gaps, cultural influences, barriers, and recommendations.

  • According to the November 11, 2026 PLOS One study, researchers interviewed 29 people: 16 Saudi pilgrims and 13 registered nurses.
  • According to the study methods, interviews took place through Zoom from June 20 to July 11, 2025, within approximately one month of the 2025 Hajj season.
  • According to the study results, participants had limited knowledge of UPF-rated clothing, UV-protective umbrellas, and the UV Index, even when they understood that direct sun exposure could be harmful.
  • According to the study findings, cost, product availability, language differences, cultural clothing norms, discomfort, and forgotten protective items reduced consistent sun-protection use.
  • According to participant recommendations reported in the study, multilingual education before Hajj and wider access to affordable protective products should be central to future interventions.

What Qualitative Research on Sun Protection Found at Hajj

According to the November 11, 2026 PLOS One study by Omar Qaladi and colleagues, the research used retrospective semi-structured interviews to explore awareness, attitudes, and behaviors related to UV protection during Hajj. The researchers interviewed 16 Saudi pilgrims and 13 registered nurses who had worked in hospitals in Makkah and Madinah.

According to the study methods, the research team analyzed transcripts thematically using Braun and Clarke’s six-phase approach. Three researchers independently coded an initial 20% sample, developed a shared codebook, and used consensus discussions to resolve coding differences.

According to the study, Arabic interviews were translated into English, and an independent bilingual researcher audited a random 20% sample of translated transcripts against the original Arabic material. Participants were also invited to review their transcripts, which supported member checking.

The study’s five themes show why qualitative data matters for public health design: participants described heat exhaustion and emotional strain, limited UV knowledge, cultural and religious interpretations of hardship, practical barriers, and specific recommendations for improving protection.

One pilgrim told the researchers, "Everyone knows the sun is harmful, but I don’t think we understand how exactly." One nurse said, "Honestly, I have no knowledge about UV-protection products." These quotations show the difference between general awareness and actionable knowledge.

Hajj Sun Protection Findings at a Glance

Date or measureFindingImplication for qualitative researchers
November 11, 2026PLOS One published the studyThe article provides a current qualitative evidence base for Hajj sun-safety research
June 20 to July 11, 2025Interview periodResearchers captured recalled experiences within approximately one month after Hajj
29 participants16 pilgrims and 13 nursesTwo participant segments enabled comparison between lived experience and clinical observation
Five themesImpact, awareness, culture, barriers, and recommendationsThematic analysis connected individual accounts to intervention priorities
20% of translated transcriptsAudited by an independent bilingual researcherTranslation quality checks helped protect meaning across Arabic and English data
26.9% of pilgrimsA separate study cited by the PLOS One article reportedly did not use umbrellas in direct sunlightBehavioral evidence can complement interview accounts when evaluating sun-safety interventions

Implications for Public Health and UX Research Teams

The November 11, 2026 PLOS One study suggests that effective Hajj sun-safety interventions must separate heat prevention from UV prevention. The study explains that hydration, rest, and cooling address heat-related illness, while sunscreen and UPF-rated clothing or umbrellas address UV exposure; shade can support both goals.

The study also shows that information alone may not be enough. Participants described language barriers, uncertainty about product effectiveness, cost concerns, physical discomfort, clothing constraints, and spiritual interpretations of hardship. Public health teams should therefore test whether messages are understandable, culturally appropriate, affordable, and easy to act on.

For UX researchers, the findings create a clear opportunity to analyze the journey from awareness to behavior. Interview coding can distinguish whether a participant lacks knowledge, rejects a recommendation, cannot access a product, finds the product uncomfortable, or forgets to use it. These are different problems that require different designs.

The study’s qualitative scope also sets boundaries on interpretation. The sample included Saudi pilgrims during one Hajj season, so the findings should not be treated as representative of all international pilgrims. The researchers also noted possible recall and social desirability bias because interviews occurred after Hajj.

How Evidano Helps Analyze Hajj Interview Data

Problem: Researchers need to compare pilgrims and nurses without losing context

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

Evidano can organize interview transcripts into thematic and cross-segment analyses, helping teams compare what pilgrims reported with what nurses observed. Researchers can then review supporting excerpts before finalizing interpretations.

Teams conducting similar studies can learn more about Evidano’s qualitative research features.

Problem: Multilingual interviews can obscure meaning during synthesis

The PLOS One study included Arabic interviews, an English interview, translation into English, and an independent audit of 20% of translated transcripts. Translation is therefore part of the analytical workflow, not merely an administrative step.

Evidano supports transcription and translation workflows with custom dictionaries, which can help research teams maintain consistent terminology for concepts such as Hajj, UPF, UV Index, and culturally specific expressions. Human review remains important for culturally sensitive interpretation.

Problem: Large transcript sets make barrier analysis slow

The PLOS One study identified barriers involving communication, cost, access, comfort, clothing, and forgetfulness. Evidano can help researchers code these barriers, examine their frequency, and compare them across participant groups.

Evidano’s AI chat over documents and analyses can help researchers ask focused questions such as which barriers were reported by nurses but not pilgrims, or which recommendations appeared across both groups. Researchers should verify generated summaries against the source excerpts.

Problem: Stakeholders need an evidence trail from themes to recommendations

The PLOS One researchers connected participant accounts to recommendations for pre-travel education, multilingual communication, affordable products, and culturally appropriate clothing. Evidano can support this process by linking codes, subcodes, excerpts, and visual summaries.

Evidano’s data-security approach encrypts data and does not use customer data to train third-party models, which is relevant when research involves sensitive interview transcripts.

FAQ: Qualitative Research on Sun Protection

What did the Hajj qualitative study find about sun protection awareness?

The Hajj qualitative study found that participants generally recognized sun exposure as harmful but had limited understanding of UV-specific risks, UPF ratings, and the UV Index.

According to the November 11, 2026 PLOS One article, participants often relied on general advice such as avoiding the sun and drinking water rather than structured education about UV protection.

How many people participated in the Hajj sun protection study?

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

According to the study methods, thematic saturation was assessed separately for pilgrims and nurses, and the researchers concluded that saturation was reached after 16 pilgrim interviews and 13 nurse interviews.

What were the main barriers to sun protection during Hajj?

The main barriers were language differences, limited product access, cost concerns, discomfort, forgotten umbrellas, cultural clothing constraints, and beliefs that enduring sun exposure was part of spiritual hardship.

One nurse told the researchers, "The biggest challenge is language, " while participants also described UPF-rated products as unfamiliar or difficult to find.

Why is thematic analysis useful for sun protection research?

Thematic analysis is useful because it organizes varied participant experiences into patterns that can guide education, product design, and policy.

In the November 11, 2026 PLOS One study, thematic analysis connected accounts of heat, knowledge gaps, culture, practical barriers, and recommendations into five major themes.

Can AI replace researchers in qualitative health research?

AI can accelerate transcription, translation, coding, comparison, and retrieval, but AI should not replace researcher judgment in qualitative health research.

Researchers remain responsible for interpreting context, checking quotations, evaluating translation, documenting decisions, protecting participants, and avoiding claims that exceed the sample or study design.

Conclusion and Next Steps for AI-Enabled Qualitative Research

The November 11, 2026 PLOS One study shows how interviews can uncover the difference between recognizing sun exposure as a problem and understanding the specific actions needed to reduce UV risk. The study’s 29 participants described knowledge gaps, cultural influences, communication problems, and practical barriers that quantitative measures alone might not explain.

AI-enabled qualitative research can help teams move faster from multilingual transcripts to transparent themes, segment comparisons, and intervention priorities. Researchers should use AI to support systematic analysis while retaining human oversight for cultural meaning, ethics, translation, and evidence quality.

Evidano gives public health, UX, and academic research teams a structured way to analyze interview transcripts and related documents. Try Evidano for free and turn qualitative evidence into clearer research decisions.

Topics

  • qualitative research on sun protection
  • AI qualitative research
  • Hajj sun protection study
  • thematic analysis of interviews
  • UV protection awareness research

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