Suchergebnisse

AbstractIntroductionPlain language summaries (PLSs) make complex healthcare evidence accessible to patients and the public. Large language models (LLMs) may assist in generating accurate, readable PLSs. This study explored using the LLM Claude 2 to create PLSs of evidence reviews from the Agency for Healthcare Research and Quality (AHRQ) Effective Health Care Program.MethodsWe selected 10 evidence reviews published from 2021 to 2023, representing a range of methods and topics. We iteratively developed a prompt to guide Claude 2 in creating PLSs which included specifications for plain language, reading level, length, organizational structure, active voice, and inclusive language. PLSs were assessed for adherence to prompt specifications, comprehensiveness, accuracy, readability, and cultural sensitivity.ResultsAll PLSs met the word count. We judged one PLS as fully comprehensive; seven mostly comprehensive. We judged two PLSs as fully capturing the PICO elements; five with minor PICO errors. We judged three PLSs as accurately reporting the results; and four with minor result errors. We judged three PLSs as having major result errors for incorrectly reporting total participants. Five PLSs met the target 6th to 8th grade reading level. Passive voice use averaged 16%. All PLSs used inclusive language.ConclusionsLLMs show promise for assisting in PLS creation but likely require human input to ensure accuracy, comprehensiveness, and the appropriate nuances of interpretation. Iterative prompt refinement may improve results and address the needs of specific reviews and audiences. As text‐only summaries, the AI‐generated PLSs could not meet all consumer communication criteria, such as textual design and visual representations. Further testing should include consumer reviewers and explore how to best leverage LLM support in drafting PLS text for complex evidence reviews.

Domains central to the effects of sexual relationships on the acceptability of a vaginal protection method were explored in 14 focus groups and 38 in‐depth interviews with women and men recruited from a health department's sexually transmitted infections (STI) and family planning clinics. Findings indicate that acceptability depended on a couple's relationship type, classified as serious, casual, or "new." Potential barriers to communication about product use may be overcome through direct or indirect covert use, depending on relationship type. More men than women thought women should always tell their partners if they use microbicides, regardless of relationship type. Results indicate the importance of the relationship context in understanding the likely acceptability of using microbicides, and perhaps any method of STI/HIV protection.