AI synthesis: Qualitative analysis of menstrual health

The PLOS ONE study PLOS ONE published July 24, 2026, documents how structural WASH gaps, socio-cultural stigma, and gendered resource inequities shape menstrual experiences in Khulna’s Railway Slum. The PLOS ONE study used 18 in-depth interviews and five key informant interviews collected in September–October 2025 to build three thematic domains that explain everyday period management and its harms. These findings show concrete intervention points for sanitation upgrades, education, and product access.

• 18 in-depth interviews and 5 key informant interviews were conducted between September 1 and October 31, 2025, according to the PLOS ONE study.
• The PLOS ONE article (published July 24, 2026) reports that 39% of participants were aged 20–30 and 67% were married, offering demographic context that supports age- and household-focused program design.
• Participants described concrete risks: water scarcity, lack of private toilets, and unsafe disposal; one respondent said, "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) in the PLOS ONE interview data.
• The PLOS ONE authors conclude that integrated WASH, education, and subsidized product distribution are needed to address menstrual dignity in Khulna’s informal settlements.

Answer: A focused qualitative study in Khulna’s Railway Slum documented lived menstrual experiences and identified three interacting domains: structural-environmental constraints, socio-cultural stigma, and gendered inequities in resource access.

According to the PLOS ONE study by Alam and Al-Mamun (published July 24, 2026), researchers collected data between September and October 2025 using 18 in-depth interviews (IDIs) with women aged 15–45 and five key informant interviews (KIIs) with NGO workers, teachers, and community health staff, then applied a mixed inductive-deductive thematic analysis guided by Feminist Political Ecology.

The PLOS ONE authors report participant characteristics: ages 15–45, 39% non-literate or minimal schooling, 33% with secondary education, 28% primary education, 72% resident in slums for over eight years, and occupation mix (28% homemakers, 17% domestic/textile workers, 11% small sellers, 22% students). The study used NVivo v12 for coding and achieved thematic saturation by the fifteenth interview, as the authors state.

Answer: The PLOS ONE evidence implies that mixed interventions are necessary: upgrade gender-responsive WASH, integrate menstrual education, and subsidize product access in slums.

For qualitative researchers: the PLOS ONE study demonstrates that a small, well-coded dataset (18 IDIs, 5 KIIs) collected over two months can yield transferable themes when analysis combines inductive and deductive coding and reports saturation transparently.

For NGO program designers: the PLOS ONE findings (published July 24, 2026) highlight three program levers (continuous water supply, private toilets with lighting and locks, and discreet disposal options) to reduce absenteeism and improve dignity.

For policy teams: the PLOS ONE authors recommend embedding menstrual health into WASH and slum-upgrading plans rather than running isolated product giveaways, because infrastructure and stigma sustain period poverty.

Answer: AI-enabled qualitative analysis converts focused studies like the PLOS ONE Khulna research into program-ready evidence by standardizing coding, preserving translations, and producing cross-segment theme counts and quote libraries.

The PLOS ONE study (published July 24, 2026) shows that a small, ethically managed interview dataset can guide infrastructure, education, and subsidy interventions when analysis is rigorous and reproducible.

If you collect transcripts, open-ended survey responses, or field notes and want a validated pipeline from raw text to stakeholder-ready tables and quotes, Evidano can reproduce the PLOS ONE analytic workflow and scale it across sites. Try the platform and see how a two-month field dataset becomes actionable evidence: Try Evidano for free.

Ethics note: qualitative findings about health are for research and program design, not clinical diagnosis; always follow IRB and local ethical guidance when sharing sensitive transcripts.