ArticleFrontiers in digital health2024
Automating untruths: ChatGPT, self-managed medication abortion, and the threat of misinformation in a post-
Article in Frontiers in digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Integrating aqli (rationale) and naqli (revealed) knowledge in AI-driven clinical decision support systems to enhance healthcare delivery for guiding termination of pregnancy among Muslim patients: a systematic review (1).BMC medical informatics and decision making · 2026Pooled it
- Evaluating and Validating Large Language Models for Health Education on Developmental Dysplasia of the Hip: 2-Phase Study With Expert Ratings and a Pilot Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Generative artificial intelligence-assisted medical self-care and associated factors among undergraduate students at Arsi University, South-Eastern Ethiopia.PLOS digital health · 2026Article
- AI as a Sparring Partner in Professional Settings: Counselors' Views on ChatGPT's Role and Potential in Pregnancy Termination Counseling.Archives of sexual behavior · 2026Article
- Patient and clinician engagement with generative artificial intelligence (GenAI): A scoping review of implications for patient-centered communication.Patient education and counseling · 2026Article
- Regulating algorithmic tools in reproductive health: ethical and legal challenges.Frontiers in reproductive health · 2026Article
- Impacts of Sexual and Reproductive Health and Rights Misinformation in Digital Spaces on Human Rights Protection and Promotion: Scoping Review.JMIR infodemiology · 2025Article
- Efficacy of Large Language Models in Providing Evidence-Based Patient Education for Celiac Disease: A Comparative Analysis.Nutrients · 2025Article
- [Is the application of digital technologies the game changer for surgical training of the future? A Germany-wide analysis].Chirurgie (Heidelberg, Germany) · 2025Article
- Online Misleading Information About Women's Reproductive Health: A Narrative Review.Journal of general internal medicine · 2025Review
- Is Generative AI Increasing the Risk for Technology-Mediated Trauma Among Vulnerable Populations?Nursing inquiry · 2025Article
- Navigating the potential and pitfalls of large language models in patient-centered medication guidance and self-decision support.Frontiers in medicine · 2025Article
- Quantum leap in medical mentorship: exploring ChatGPT's transition from textbooks to terabytes.Frontiers in medicine · 2025Review
- ChatGPT for Tinnitus Information and Support: Response Accuracy and Retest after Three and Six Months.Brain sciences · 2024Article
- Large language models in patient education: a scoping review of applications in medicine.Frontiers in medicine · 2024Article
- Exploring community pharmacists' attitudes in Thailand towards ChatGPT usage: A pilot qualitative investigation.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: ChatGPT is a generative artificial intelligence chatbot that uses natural language processing to understand and execute prompts in a human-like manner. While the chatbot has become popular as a source of information among the public, experts have expressed concerns about the number of false and misleading statements made by ChatGPT. Many people search online for information about self-managed medication abortion, which has become even more common following the overturning of Objective: To assess the accuracy of ChatGPT responses to common questions regarding self-managed abortion safety and the process of using abortion pills. Methods: We prompted ChatGPT with 65 questions about self-managed medication abortion, which produced approximately 11,000 words of text. We qualitatively coded all data in MAXQDA and performed thematic analysis. Results: ChatGPT responses correctly described clinician-managed medication abortion as both safe and effective. In contrast, self-managed medication abortion was inaccurately described as dangerous and associated with an increase in the risk of complications, which was attributed to the lack of clinician supervision. Conclusion: ChatGPT repeatedly provided responses that overstated the risk of complications associated with self-managed medication abortion in ways that directly contradict the expansive body of evidence demonstrating that self-managed medication abortion is both safe and effective. The chatbot's tendency to perpetuate health misinformation and associated stigma regarding self-managed medication abortions poses a threat to public health and reproductive autonomy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.