Counseling Gaps: Tdap Reddit Qualitative Analysis

Primary keyword: tdap reddit qualitative analysis. According to the Medical Daily report on the Purdue study, pregnant women posting about maternal Tdap on Reddit are primarily seeking clarification and reassurance rather than arguments to refuse vaccination. The audience for this post is qualitative researchers, public health communicators, and clinical teams who must convert social media signals into actionable counseling improvements. This post explains the Purdue findings, gives extractable numbers and quotes from the source, and shows how AI-enabled qualitative research workflows speed synthesis and turn question patterns into targeted counseling materials.

Key Takeaways

According to the Medical Daily coverage of the Purdue analysis, most Reddit posts by pregnant women about maternal Tdap sought clarification and reassurance rather than reasons to refuse vaccination (Medical Daily).

Purdue researchers identified 173 relevant Reddit posts from October 2020 through October 2023 and included 86 posts that met their criteria, according to Medical Daily (published August 17, 2026).
According to Medical Daily, about 55 percent of eligible pregnant women in the United States received maternal Tdap in 2023, leaving close to half unvaccinated.
According to Johns Hopkins data cited by Medical Daily, there were nearly 29, 000 pertussis cases and 16 related deaths in 2025, the highest case count since 2012.

What Happened and how the study worked

Answer: The Purdue study conducted a focused qualitative review of English-language Reddit posts about maternal Tdap between October 2020 and October 2023, as reported by Medical Daily.

According to Medical Daily, the researchers searched for the terms Tdap, pertussis, whooping cough, and pregnant, finding 173 potentially relevant posts and applying inclusion criteria that produced an analysis sample of 86 posts.

According to Medical Daily, the inclusion criteria required that a post be written from the perspective of a pregnant woman, be created before delivery, and have maternal Tdap as the primary concern.

According to Medical Daily, the study was qualitative by design and intended to characterize the types of questions women asked, not to estimate prevalence of opinions among all pregnant people.

Findings Snapshot

Date range	Metric	Value	Implication
Oct 2020–Oct 2023	Reddit posts identified	173 posts identified	Search captured broad conversation, then narrowed for relevance
Oct 2020–Oct 2023	Posts analyzed	86 posts included	Sample sized for qualitative pattern recognition, not population estimates
2023	Maternal Tdap coverage (US)	≈55 percent received Tdap	Coverage gap remains a larger public health problem than online refusal in this sample
2025	Pertussis burden (US)	≈29, 000 cases and 16 deaths	High recent seasonality underlines infant risk and need for maternal protection

What the questions reveal about counseling gaps

Answer: The posts mostly reveal information gaps clinicians can address, according to Medical Daily reporting on the Purdue study.

According to Medical Daily, common uncertainties included whether a prior Tdap dose given years earlier counts for the current pregnancy and whether timing windows had been missed.

According to the Centers for Disease Control and Prevention guidance referenced in the Medical Daily article, CDC recommends a Tdap dose during every pregnancy, preferably between 27 and 36 weeks, regardless of prior Tdap history.

According to Medical Daily, researchers concluded that many questions were resolvable in a single clinical appointment, indicating an opportunity to improve counseling materials rather than only countering vaccine refusal.

According to Medical Daily, the authors suggested public health campaigns should also target household contacts so that mothers are not left to persuade family members alone.

How Evidano helps translate Reddit question patterns into action

What is Evidano?

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

Evidano can ingest Reddit threads, interview transcripts, and clinical counseling scripts to surface recurring questions such as timing, prior-dose relevance, and household booster needs.

Problem: Small qualitative samples, slow synthesis

Answer: Slow manual coding delays insight translation from qualitative samples, according to typical qualitative research experience and the practical constraints described in the Purdue analysis as reported by Medical Daily.

Evidano feature mapping: Use thematic coding and hierarchical codes to tag question types across 86 posts or thousands of comments, then export code frequency tables and quotations for clinician-facing FAQs.

Problem: Clinicians need ready-made counseling language

Answer: Translating question patterns into one-visit answers is time consuming for clinical teams, according to the Purdue study's implication in Medical Daily.

Evidano feature mapping: Generate concise clinician materials from coded excerpts and frequency summaries and link them to authoritative guidance such as the CDC maternity vaccine recommendations, with quick export for electronic health records or patient handouts.

See relevant Evidano capability: Features.

Problem: Multimodal source integration

Answer: Researchers often need to combine social posts, transcripts, and surveys to validate findings across sources, a standard requirement exemplified by the Purdue team's focus on Reddit posts as one evidence stream, according to Medical Daily.

Evidano feature mapping: Ingest social scraping, transcripts, and survey responses, then run thematic, content, and cross-segment analyses to confirm whether question types from Reddit appear in patient intake surveys or clinic notes.

See relevant Evidano capability: Speech-to-text transcription.

FAQ: tdap reddit qualitative analysis

What did the Purdue study analyze and how many posts were included?

Answer: The Purdue analysis reviewed English-language Reddit posts about maternal Tdap and included 86 posts that met the study criteria, according to Medical Daily.

According to Medical Daily, researchers initially identified 173 relevant posts from October 2020 through October 2023 and then applied inclusion rules to focus on posts written by pregnant women before delivery with Tdap as the primary concern.

Does the study show Tdap hesitancy is rare among pregnant women?

Answer: No, the study does not establish that Tdap hesitancy is rare; it characterizes question types in a small, self-selected online sample, according to Medical Daily.

According to Medical Daily, the study's qualitative design and Reddit's nonrepresentative user base mean the results describe the kinds of questions asked, not population prevalence.

What specific questions did posters ask about Tdap?

Answer: Posters commonly asked whether a prior Tdap dose counts for the current pregnancy, about optimal timing windows, and about safety or the right to decline, according to Medical Daily.

According to Medical Daily, these are practical questions with answers in CDC guidance, which recommends Tdap in every pregnancy preferably between 27 and 36 weeks.

How can researchers use these findings to improve public health communication?

Answer: Researchers can map question patterns to specific counseling scripts and target household contacts for boosters, according to the Purdue authors' recommendation reported by Medical Daily.

According to Medical Daily, the authors recommended designing counseling materials that address the documented question patterns and expanding campaign targets to include close contacts.

Can AI accelerate turning social media patterns into clinician tools?

Answer: Yes, AI-enabled qualitative platforms can accelerate thematic coding, frequency counts, and exportable clinician-ready summaries from social posts, interview transcripts, and surveys.

According to Evidano's capabilities, platforms that combine social scraping, transcription, and thematic analysis reduce the manual burden of synthesis and speed deployment of targeted counseling materials; see Features.

Conclusion & Next Steps

Answer: The Purdue analysis, as reported by Medical Daily, shows that Reddit posts by pregnant women about maternal Tdap mostly ask for clarity and reassurance rather than arguments for refusal, and those question patterns point to actionable counseling fixes.

According to Medical Daily, the study examined 86 qualifying posts drawn from 173 relevant posts between October 2020 and October 2023, and public health data cited by Medical Daily shows roughly 55 percent maternal Tdap uptake in 2023.

Researchers and clinical teams can use AI-enabled qualitative workflows to rapidly code question patterns, quantify frequency, and produce clinician-facing scripts and patient FAQs.

Try turning Reddit signals into targeted counseling: Try Evidano for free.

Topics

tdap reddit qualitative analysis
maternal tdap reddit study
qualitative social media vaccine research
AI qualitative analysis reddit

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