This post explains how AI-enabled qualitative analysis can accelerate, deepen, and reproduce findings like those in the PLOS One study on menstrual health in Khulna. The primary keyword for this piece is "qualitative analysis of menstrual health" and the audience is qualitative researchers, WASH program managers, and NGOs designing menstrual health interventions. According to the PLOS One article published 24 July 2026, the study used 18 in-depth interviews and 5 key informant interviews collected between 1 September and 31 October 2025 in Khulna Railway Slum, Bangladesh. An ethics note: these findings are research-focused and not clinical guidance.
Key Takeaways
According to PLOS One, the study "Unspoken cycles" (Alam & Al-Mamun) published 24 July 2026 conducted 18 in-depth interviews and 5 key informant interviews between 1 September and 31 October 2025 to document menstrual experiences in Khulna Railway Slum.
- 18 in-depth interviews and 5 KIIs (data collected 01/09/2025–31/10/2025) identified three analytic domains: structural-environmental constraints, socio-cultural stigma, and gendered inequities in resource access.
- The sample (n = 18) included participants aged 15–45 and reported that 39% of respondents were aged 20–30 and 72% had lived in the slum districts for more than eight years, showing long-term exposure to inadequate WASH conditions.
- Published 24 July 2026, the PLOS One study documents concrete barriers (water scarcity, lack of private toilets, and no menstrual waste systems) that link period poverty to education and livelihood losses in Khulna.
- Direct participant testimony included: "When water stops coming from the tap, I wait for hours. If it doesn’t come, I can’t clean myself properly." (IDI-08, Housewife) and an NGO observation: "For poor women in slum areas, water is a luxury." (KII-03, NGO Program Officer).
What happened: PLOS One qualitative study in Khulna
What happened: the PLOS One study by Alam and Al-Mamun documented lived menstrual experiences in Khulna Railway Slum by conducting 18 in-depth interviews and 5 key informant interviews between 1 September and 31 October 2025.
According to the PLOS One article published 24 July 2026, the research followed the Consolidated Criteria for Reporting Qualitative Research and used semi-structured interviews in Bengali, with transcripts translated and back-checked for accuracy.
According to the PLOS One study, analysis used Braun and Clarke’s six-phase thematic approach in a combined deductive and inductive fashion, with NVivo v.12 used for coding and two independent coders resolving discrepancies through consensus.
Key findings reported in PLOS One show three interrelated domains shaping menstrual experiences: (1) structural-environmental constraints such as water scarcity, lack of private toilets, and no disposal systems; (2) socio-cultural stigma that enforces silence and restricted mobility; and (3) gendered inequities in access to products and information.
Findings snapshot
| Date / Metric | Metric | Value | Implication |
|---|---|---|---|
| 01/09/2025–31/10/2025 | Data collection window | 18 IDIs, 5 KIIs | Saturation reached by the 15th IDI, qualitative depth prioritized over representativeness |
| 24 July 2026 | Publication date | PLOS One article | Peer-reviewed evidence for program design and qualitative methods |
| Participant demographics | Age & residency | Ages 15–45; 39% aged 20–30; 72% lived >8 years in slum | Long-term exposure to WASH and social constraints |
| City-level context | Khulna metrics | Khulna district ≈ 2.61 million; ~20% live in slums; ~520 informal settlements | High urban density amplifies infrastructure deficits |
Implications for qualitative researchers and program teams
Implication: qualitative researchers and program teams should combine rigorous field methods with analytic transparency to translate narratives into policy actions.
- Design studies for contextual depth: the PLOS One study (published 24 July 2026) used purposive sampling and triangulated IDIs and KIIs to surface system-level drivers rather than population prevalence.
- Prioritize WASH-linked measures: PLOS One participants repeatedly linked water scarcity and lack of disposal to both health risks and social exclusion, so program evaluations should embed specific WASH indicators.
- Measure stigma and mobility: PLOS One documents absenteeism and restricted movement; qualitative coding that tracks mentions of school or work absenteeism yields actionable program metrics.
- Protect participants: PLOS One obtained IRB approval (Approval No. 473478-FY 2024–2025; 10 August 2025) and anonymized transcripts, a model researchers should follow for sensitive topics.
How Evidano helps
How Evidano supports thematic synthesis at scale
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Problem: Manual coding slows synthesis and risks inconsistency across coders. Solution: Evidano provides AI-assisted thematic coding and codebook harmonization that reproduce Braun and Clarke style workflows while surfacing emergent codes.
Feature mapping: Use Evidano features for auto-extraction of themes, frequency counts, and cross-segment comparisons that map directly to the three domains identified by the PLOS One study.
Practical benefit: Analysts can upload translated transcripts, run auto-coding, then review and refine codes in minutes instead of weeks, while the platform records an audit trail to support dependability and confirmability.
Transcription, privacy, and sensitive data handling
Problem: Sensitive interview audio requires accurate transcription and strict confidentiality. Solution: Evidano offers secure transcription with custom dictionaries and PII redaction and integrates with Evidano speech-to-text.
Practical benefit: For studies like PLOS One where interviews were conducted in Bengali, Evidano’s transcription and translation workflows reduce time spent on back-translation and maintain a verifiable chain from audio to coded excerpt.
Ethics note: researchers should continue to follow local IRB approvals and anonymize datasets as PLOS One did before sharing minimal datasets.
Cross-segment and frequency analysis for program design
Problem: Programs need evidence that links narratives to program metrics. Solution: Evidano generates frequency matrices and cross-segment comparisons (for example, adolescent vs adult accounts) so teams can quantify themes such as absenteeism or product unaffordability reported in PLOS One.
Practical benefit: Exportable tables and visualizations speed translation of qualitative themes into policy briefs and WASH upgrade proposals.
FAQ: qualitative analysis of menstrual health
How did the PLOS One study collect and analyze qualitative data?
Answer: The PLOS One study collected 18 in-depth interviews and 5 key informant interviews between 1 September and 31 October 2025 and analyzed them using Braun and Clarke’s six-phase thematic analysis with NVivo v.12.
Supporting detail: According to PLOS One published 24 July 2026, the authors used a combined deductive (predefined domains) and inductive approach and achieved saturation by the 15th IDI.
Which findings are most actionable for WASH and education programs?
Answer: The most actionable findings are the links between water scarcity, lack of private toilets, and menstrual-related absenteeism reported by participants in the PLOS One study.
Supporting detail: According to PLOS One, participants described prioritizing household water for cooking over personal hygiene and missing school or work because of inadequate sanitation and stigma, which directly suggests interventions like lockable gendered toilets with disposal bins.
Can AI reproduce the PLOS One thematic coding and protect participant confidentiality?
Answer: Yes, AI-enabled platforms can reproduce coding frameworks and accelerate synthesis while preserving confidentiality when configured for PII redaction and secure storage.
Supporting detail: For sensitive studies like the PLOS One project, researchers should combine automated coding with human review and use platforms that provide encryption and redaction; see Evidano features for secure transcription and audit trails.
What minimum data and metadata should researchers share to enable replication?
Answer: Researchers should share de-identified codebooks, thematic matrices, and selected verbatim excerpts, while protecting full transcripts as required by IRBs.
Supporting detail: The PLOS One article (published 24 July 2026) made a minimal dataset available on request to protect confidentiality, which is a reproducible model that balances transparency and participant safety.
Conclusion & Next Steps
The PLOS One study published 24 July 2026 documents how structural WASH failings, stigma, and gendered poverty shape menstrual experiences in Khulna Railway Slum, based on 18 IDIs and 5 KIIs collected in Sept–Oct 2025.
For qualitative researchers and program teams, the study demonstrates the value of rigorous thematic coding, contextual metadata, and ethical data handling for turning lived narratives into policy actions.
If you want to scale analysis, preserve auditability, and accelerate program-ready outputs, try AI-enabled workflows that combine machine assistance with human validation.
Get started: Try Evidano for free.