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AI-ready Guide: qualitative analysis of contraceptive uptake

Evidano7 min read

This post explains how AI-enabled qualitative research can turn the PLOS One qualitative study on LARC/PM uptake in rural Bangladesh into actionable evidence for researchers and program designers. The primary keyword for this article is qualitative analysis of contraceptive uptake and the audience is qualitative researchers, program evaluators, and UX teams working on reproductive health. The PLOS One study used 28 in-depth interviews and 9 key informant interviews, and the payoff here is a step-by-step mapping from study findings to reproducible analytic workflows and tooling choices that speed synthesis, maintain audit trails, and support rights-based recommendations.

Key Takeaways

According to the PLOS One study, published August 25, 2026, multilevel socio-ecological barriers explain persistently low long-acting reversible and permanent contraception (LARC/PM) uptake in rural Cumilla, Bangladesh, despite national family planning goals. The PLOS One study collected data from January 21 to February 20, 2023, using 28 in-depth interviews and 9 key informant interviews (37 total participants).

  • The PLOS One study found that 22 of the in-depth interview participants were women and 6 were men; data collection occurred between 21 January and 20 February 2023.
  • The PLOS One article reports that national LARC/PM share declined from 12.1% in 1991 to 8% in 2022, and that Cumilla had 13.6% LARC/PM use in 2022, showing a gap versus program targets.
  • The PLOS One authors identified five analytic levels (individual, interpersonal, community, institutional, and health-system) with concrete barriers including fears of infertility, provider coercion, male-dominated decision-making, religious stigma, and workforce shortages.
  • The PLOS One study documents rights violations: respondents reported coerced insertions and refusals to remove devices, which the authors link to incentive structures and weak accountability mechanisms.
  • Direct respondent evidence in PLOS One includes: “We don’t know or understand these methods” (W 02) and “Men don’t want to undergo (vasectomy)…they fear they will have sexual problems” (P 02).

What Happened: qualitative analysis of contraceptive uptake in Cumilla

Answer-first: The PLOS One study used a socio-ecological qualitative approach to explain why LARC/PM uptake remains low in rural Cumilla, Bangladesh.

The PLOS One article (published August 25, 2026) reports purposive sampling that produced 28 in-depth interviews with married women and men and 9 key informant interviews with providers and one religious leader, with interviews lasting 7–55 minutes between 21 January and 20 February 2023.

The PLOS One authors analyzed transcribed Bengali interviews translated into English using Braun and Clarke’s thematic analysis with a hybrid inductive-deductive codebook organized by the socio-ecological model.

The PLOS One findings document method-specific fears (for example IUDs linked to infection, implants to heavy bleeding), interpersonal gatekeeping (15 of 22 interviewed women reported husbands had decision power), community norms (male-child preference and religious narratives), and system failures (short counselling, workforce shortages).

Findings Snapshot

Date / SourceMetricValueImplication
PLOS One (published Aug 25, 2026)Qualitative interviews collected28 IDIs + 9 KIIs (37 total) between 21 Jan–20 Feb 2023Rich multi-stakeholder perspectives across socio-ecological levels
PLOS One (citing DGFP 2022)LARC/PM national share8% in 2022 (declined from 12.1% in 1991)Programmatic retreat from long-acting methods; service gaps
PLOS One (citing DGFP 2022)Cumilla LARC/PM use13.6% in 2022Site selection rationale: persistently low uptake regionally
PLOS One (respondent quotes)Common individual concernsFears: infertility, device migration, organ removal, impotenceInformation and counselling must address embodied and vicarious experiences
PLOS One (providers)Rights and service delivery problemsReports of non-consensual insertions and refusal to removeNeed for accountability, grievance mechanisms, and provider oversight

Implications for qualitative researchers and program evaluators

Answer-first: For researchers, the PLOS One findings mean study design, coding, and reporting must preserve context, quote-level provenance, and traceability to support ethical recommendations.

The PLOS One study highlights how participant networks and embodied narratives (for example, neighborhood stories about infertility after implant removal) function as evidence in communities; qualitative researchers must code for source type (personal experience vs. hearsay) and map influence pathways.

The PLOS One authors show that combining demand- and supply-side interviews (37 total participants across 28 IDIs and 9 KIIs) produced insights that single-source surveys miss; researchers should therefore plan mixed stakeholder recruitment and saturation checks similar to the PLOS One approach.

The PLOS One evidence underlines the need to quantify qualitative themes for program decision-making: researchers should produce counts, timelines, and cross-segment comparisons (for example, method familiarity by gender) as the PLOS One authors did when reporting that 20 of 22 women recognized implants while only 9 knew about IUDs.

Ethics note: The PLOS One study documents rights violations; researchers using similar qualitative methods must maintain confidentiality, obtain informed consent, and avoid facilitating coercion while collecting and disseminating findings.

How Evidano Helps: mapping PLOS One problems to AI-enabled solutions

Problem: Fragmented transcripts, lost provenance

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

Evidano features automated transcription with a custom dictionary and PII redaction, which preserves verbatim quotes and speaker labels from interviews like the PLOS One study and speeds the stage of creating verifiable transcripts.

Problem: Manual thematic coding and slow cross-segment synthesis

Solution: Evidano’s thematic and cross-segment analysis automates code suggestion, frequency tallies, and co-occurrence networks so researchers can reproduce counts such as "20 of 22 women knew implants" and quickly validate inter-rater consistency.

Researchers can use Evidano’s hierarchical code → subcode visualizations to mirror the PLOS One socio-ecological model and export counts anchored to source excerpts for transparent reporting.

Problem: Handling multilingual data and translation fidelity

Solution: Evidano supports translation with a custom dictionary so teams can preserve key terms and respondent meanings when translating interviews from Bengali into English, aligning with the PLOS One method of cross-checking translations.

Use Evidano’s AI chat over your documents to ask targeted questions like, “Show me all quotes about implant bleeding between Jan and Feb 2023, ” and retrieve source-attributed excerpts instantly.

Problem: Demonstrating rights-based service failures and generating accountability-ready reports

Solution: Evidano produces audit-trailed exports (quote-level, timestamps, coder decisions) that can be attached to policy briefs or shared with oversight bodies while preserving participant anonymity.

For operational teams, Evidano’s visualizations and frequency metrics make systemic problems (for example, reports of non-consensual insertions) visible and actionable for program redesign.

Learn more about relevant features

See how automatic transcription works in practice on the Evidano Speech-to-Text page.

See product capabilities and workflows on the Evidano Features page.

FAQ: qualitative analysis of contraceptive uptake

How did the PLOS One study collect and analyze qualitative data?

Answer: The PLOS One study conducted 28 in-depth interviews and 9 key informant interviews between 21 January and 20 February 2023 and analyzed transcripts using Braun and Clarke’s thematic analysis with a hybrid inductive-deductive codebook guided by the socio-ecological model.

Supporting detail: The PLOS One authors transcribed interviews in Bengali, translated them to English, used manual coding in Microsoft Excel, and iteratively refined themes until saturation.

Which concrete statistics from the PLOS One study are most useful for program design?

Answer: Useful statistics include the sample composition (22 women, 6 men among the 28 IDIs), the regional LARC/PM prevalence (Cumilla 13.6% in 2022), and national trends (LARC/PM share 8% in 2022, down from 12.1% in 1991) as reported in PLOS One.

Supporting detail: These numbers can prioritize regions for intervention and benchmark program targets against documented method awareness and provider issues.

Can AI tools preserve the ethical constraints of qualitative research?

Answer: Yes, when configured with PII redaction, encrypted storage, and access controls, AI tools can speed analysis while preserving ethical safeguards.

Supporting detail: The PLOS One study raises rights concerns (coercion, refusal to remove devices), so AI workflows must include anonymization, secure participant metadata handling, and human oversight for interpretation.

How do I convert PLOS One-style qualitative findings into program actions?

Answer: Translate themes into measurable indicators (for example, percent of women reporting counselling >5 minutes, frequency of provider coercion reports) and design interventions that map to each SEM level described in PLOS One.

Supporting detail: Use mixed-methods pilots that track both qualitative changes (attitudes, stigma) and service metrics (LARC/PM uptake rates) with pre-registered analysis plans and audit trails.

Conclusion & Next Steps

Recap: The PLOS One qualitative study (published August 25, 2026) shows that low LARC/PM uptake in rural Bangladesh results from layered socio-ecological barriers, including embodied side-effect experiences, male-dominated decision-making, religious and cultural stigma, and service-delivery failures.

Next steps for researchers: replicate multi-stakeholder interviews, code with provenance, produce counts and segment comparisons, and surface rights-related incidents with documentation suitable for program change.

Operational next steps: use AI-assisted transcription and thematic analysis to compress synthesis time while preserving quotes and audit trails; for feature details see Evidano Features.

Ready to try an AI-first qualitative workflow? Try Evidano for free.

Topics

  • qualitative analysis of contraceptive uptake
  • LARC uptake Bangladesh qualitative
  • AI-enabled qualitative research
  • family planning qualitative methods

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