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What Hajj Interviews Reveal: Qualitative Analysis of Sun Protection

Evidano8 min read

Health researchers studying Hajj face a difficult qualitative analysis problem: interview data must distinguish heat-related illness from ultraviolet radiation risks while preserving cultural, religious, and linguistic context. The 2026 PLoS ONE study by Omar Qaladi and colleagues provides a useful example. The researchers analyzed post-Hajj interviews with pilgrims and nurses to understand awareness, attitudes, and barriers affecting sunscreen, umbrellas, and ultraviolet protection factor products. This article explains the study's findings and shows how AI qualitative research analysis can help public health, nursing, and UX research teams organize similar interview datasets without flattening participant meaning. The discussion is research-focused and non-diagnostic.

Key Takeaways

According to the PLoS ONE study published on November 11, 2026, sun protection during Hajj is limited by knowledge gaps, cultural interpretations, communication problems, cost, availability, and discomfort. The study shows why qualitative analysis of sun protection must examine both what participants know and how social context shapes behavior.

  • Qaladi and colleagues interviewed 29 people, including 16 Saudi pilgrims and 13 registered nurses, after the 2025 Hajj season.
  • The researchers conducted interviews via Zoom between June 20 and July 11, 2025, and identified five major themes.
  • Participants often understood sun exposure primarily as a heat problem, while ultraviolet-specific concepts such as UPF and the UV Index were poorly understood.
  • One earlier study cited by Qaladi and colleagues found that 26.9% of pilgrims did not use umbrellas in direct sunlight, indicating a measurable gap between risk and protective behavior.
  • The study recommends multilingual, culturally appropriate education before and during Hajj, alongside better access to affordable protective products.

Snapshot: The Hajj Sun Protection Interview Study

Date or measureFindingResearch implication
June 20 to July 11, 2025Qaladi et al. conducted retrospective semi-structured interviews approximately one month after Hajj.The findings capture recalled experiences rather than directly observed behavior.
2025 Hajj seasonThe sample included 16 pilgrims and 13 registered nurses, for 29 participants in total.The two participant groups provide complementary perspectives on personal behavior and healthcare delivery.
2026 publicationQaladi et al. identified five major themes through inductive thematic analysis.A structured coding process can connect individual quotations to broader intervention priorities.
26.9% in a study cited by Qaladi et al.The cited research reported that 26.9% of pilgrims did not use umbrellas in direct sunlight.Sun protection messaging must address the gap between awareness, access, and consistent use.
30 to 45 minutes per interviewQaladi et al. recorded and transcribed each interview verbatim.Long-form interviews create rich material that benefits from systematic coding and retrieval.

What the Qualitative Analysis of Sun Protection Found

The qualitative analysis found that Hajj participants recognized intense sun exposure as harmful but often lacked specific knowledge about ultraviolet protection. Qaladi et al. reported five themes: physical and emotional effects, limited awareness, cultural influences, practical barriers, and recommendations for improvement.

According to Qaladi et al., participants frequently described exhaustion, dizziness, dehydration, and fainting, which are heat-related experiences rather than direct descriptions of UV damage. The distinction matters because hydration, rest, and cooling address heat-related illness, while sunscreen and UPF-rated clothing or umbrellas address UV exposure.

The interviews also showed that participants did not consistently understand the difference between ordinary and UPF-rated products. One nurse told the researchers, "Honestly, I have no knowledge about UV-protection products." Another participant said, "I didn’t even know there are special fabrics for blocking UV rays."

Qaladi et al. found that cultural and religious interpretations influenced behavior. Some participants viewed enduring heat as part of the spiritual challenge of Hajj, while others described umbrella use as increasingly accepted. One nurse explained, "Some elderly pilgrims believe enduring the sun is part of the spiritual challenge; they think the harder it is, the greater the reward."

The study also identified barriers that researchers should preserve during coding rather than reduce to a generic category such as noncompliance. Nurses described language and communication difficulties, while pilgrims emphasized cost, product availability, forgetfulness, physical discomfort, and clothing constraints.

The authors reported that Arabic interviews were translated into English, that an independent researcher audited a random 20% sample of translated transcripts, and that participants were invited to review their transcripts. These procedures show why translation quality, member checking, and audit trails remain important when AI tools assist qualitative research.

Implications for Public Health and Qualitative Research Teams

Public health teams should design sun protection interventions around distinct risks, cultural context, and practical barriers, according to the findings reported by Qaladi et al. The study does not establish that one intervention will work for every pilgrim population because its pilgrim sample included only Saudi nationals and covered one Hajj season.

  • Separate heat and UV messages: Qaladi et al. found that participants often equated sun exposure with heat, so educational materials should explain that hydration and cooling do not replace UV protection.
  • Analyze participant groups separately: The study reported that nurses emphasized systemic and communication barriers, while pilgrims more often described cost, comfort, and forgetting protective items.
  • Preserve culturally specific meaning: The researchers found that spiritual interpretations affected sun protection decisions, making culturally responsive messaging more appropriate than purely technical instructions.
  • Code communication barriers precisely: Qaladi et al. described language differences and the need for sign-language support, which can be lost when researchers merge all barriers into one category.
  • Treat recommendations as hypotheses: The study proposed pre-travel education, multilingual resources, and accessible protective products, but the authors noted that these ideas require feasibility and impact testing.

How Evidano Helps With AI Qualitative Research Analysis

Problem: Researchers need to synthesize many interview transcripts without losing context

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interview transcripts, open-ended survey responses, papers, reports, and other documents.

For a study like Qaladi et al.'s, Evidano can support thematic analysis by organizing recurring concepts such as heat stress, UV knowledge, cultural beliefs, access, and communication barriers. Researchers can review the underlying text while comparing themes across pilgrims and nurses.

Teams can learn more about the platform's research workflows through Evidano's qualitative analysis features.

Problem: Cross-group differences are difficult to identify consistently

Evidano supports cross-segment analysis, which can help researchers compare participant groups, demographic segments, interview waves, or study locations.

A public health team could create segments for pilgrims and nurses, then examine whether terms such as UPF, sunscreen, umbrella, language, cost, and cultural norms appear differently across those groups. Researchers should validate AI-generated patterns against the original transcripts and study protocol.

Problem: Multilingual interviews can complicate analysis

Evidano provides transcription and translation workflows with custom dictionaries, which can help research teams handle specialized terminology and multilingual qualitative datasets.

The Hajj study by Qaladi et al. used Arabic and English interviews and independently audited 20% of translated transcripts. That methodological standard remains relevant when AI assists translation: researchers should preserve original-language material, review important quotations, and document quality checks.

Problem: Stakeholders need to interrogate findings after initial coding

Evidano provides AI chat over uploaded documents and analyses, allowing researchers to ask focused follow-up questions about themes, segments, quotations, and evidence.

A team could ask which barriers were mentioned by nurses but not pilgrims, which quotations support a theme, or whether a proposed recommendation was directly reported by participants. Evidano's data is encrypted and is never used to train third-party models, according to Evidano's product information.

FAQ: Qualitative Analysis of Sun Protection

What did the Hajj sun protection study investigate?

The Hajj sun protection study investigated awareness, attitudes, behaviors, and barriers related to UV protection among pilgrims and nurses.

Qaladi et al. focused on sunscreen, UPF-rated clothing and umbrellas, cultural influences, communication, and practical access during the 2025 Hajj season.

How many people participated in the Hajj interview study?

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

According to Qaladi et al., interviews were conducted between June 20 and July 11, 2025, and thematic saturation was assessed separately for the two participant groups.

What were the five themes in the qualitative analysis?

The five themes were physical and emotional effects of sun exposure, limited awareness and knowledge gaps, cultural influences, barriers to protection, and recommendations for improvement.

Qaladi et al. developed these themes through inductive thematic analysis based on Braun and Clarke's six-phase approach.

Why should researchers distinguish heat illness from UV harm?

Researchers should distinguish heat illness from UV harm because the risks have different symptoms and prevention strategies.

Qaladi et al. reported that participants mainly described heat-related symptoms such as exhaustion, dizziness, dehydration, and fainting, while UV-specific risks were less prominent in their accounts.

Can AI analyze qualitative interviews about public health?

AI can assist public health interview analysis by organizing transcripts, identifying candidate themes, comparing segments, and retrieving supporting quotations.

Human researchers must still check context, translation, confidentiality, methodological fit, and interpretations against the source data, especially when interviews involve sensitive health or cultural topics.

How can researchers analyze Hajj interviews with Evidano?

Researchers can upload interview transcripts and related documents to Evidano, then use thematic, content, frequency, and cross-segment analyses to investigate Hajj sun protection data.

Researchers can use AI chat and visualizations to explore themes while retaining responsibility for validation, reporting, and ethical interpretation.

Conclusion and Next Steps

The 2026 PLoS ONE study by Qaladi and colleagues shows that qualitative analysis of sun protection can reveal barriers that quantitative measures alone may not explain, including spiritual interpretations, language differences, product confusion, and physical discomfort. The study's 29 interviews produced five themes that connect individual experiences with practical public health recommendations. AI qualitative research analysis can help teams organize comparable interview datasets, compare participant segments, and retrieve evidence more efficiently, provided researchers retain human oversight and document their analytical decisions. Researchers who want to accelerate transcript and document analysis can try Evidano for free.

Topics

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

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