{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T11:26:35Z","timestamp":1787570795993,"version":"build-2736575974"},"reference-count":22,"publisher":"FapUNIFESP (SciELO)","issue":"8","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Rev. Assoc. Med. Bras."],"abstract":"<jats:p>SUMMARY  OBJECTIVE: Older adults increasingly use artificial intelligence-based tools to obtain health information. Although artificial intelligence chatbots such as ChatGPT may enhance access, the quality, readability, and patient safety of fall-prevention information remain uncertain. This study aimed to evaluate the quality, readability, and patient safety implications of ChatGPT-generated responses to common questions about fall risk and home safety in older adults.  METHODS: Ten frequently asked fall-related questions were submitted to ChatGPT (version 5.2). Responses were independently assessed by a multidisciplinary panel including physiotherapists, a geriatrician, a physical medicine and rehabilitation physician, an occupational therapist, and an orthopedic specialist. Quality was evaluated using the Mika classification. Readability was measured with the Flesch-Kincaid Grade Level. Interrater reliability was analyzed using a two-way random-effects intraclass correlation coefficient model with absolute agreement (intraclass correlation coefficient [2,k]).  RESULTS: Three responses were rated as \"excellent,\" while seven responses were rated as \"satisfactory requiring minimal clarification.\" No response received a rating corresponding to \"moderately satisfactory\" or \"unsatisfactory.\" The mean Flesch-Kincaid Grade Level was 8.4 (range 4.3\u201311.9). Five responses exceeded the readability levels commonly recommended for patient education materials. Interrater reliability demonstrated fair agreement (intraclass correlation coefficient [2,k]=0.72; 95%CI 0.64\u20130.80).  CONCLUSION: While ChatGPT provided generally acceptable clinical information, variability in readability and expert ratings raises patient safety concerns. AI-generated health content should be reviewed and tailored to older adults\u2019 health literacy needs before clinical use.<\/jats:p>","DOI":"10.1590\/1806-9282.20260388","type":"journal-article","created":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T11:08:19Z","timestamp":1787569699000},"source":"Crossref","is-referenced-by-count":0,"title":["Quality, readability, and patient safety of ChatGPT-generated responses to fall-related questions in older adults: a multidisciplinary evaluation"],"prefix":"10.1590","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5331-7907","authenticated-orcid":false,"given":"Merve","family":"Ar\u0131","sequence":"first","affiliation":[{"name":"KTO Karatay University,  T\u00fcrkiye; Dokuz Eylul University,  T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0174-8224","authenticated-orcid":false,"given":"Nursen","family":"\u0130l\u00e7in","sequence":"additional","affiliation":[{"name":"Dokuz Eylul University,  T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7985-9267","authenticated-orcid":false,"given":"Hatice","family":"Ya\u011fc\u0131o\u011flu","sequence":"additional","affiliation":[{"name":"Pamukkale University,  T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7658-831X","authenticated-orcid":false,"given":"\u0130lyas","family":"Akkar","sequence":"additional","affiliation":[{"name":"University of Health Sciences,  T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"530","published-online":{"date-parts":[[2026]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"ii37","DOI":"10.1093\/ageing\/afl084","article-title":"Falls in older adults: epidemiology and prevention","volume":"35","author":"Rubenstein LZ","year":"2006","journal-title":"Age Ageing"},{"key":"ref2","series-title":"WHO global report on preventing falls in older adults","year":"2007"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1111\/jgs.15304","article-title":"Medical costs of falls in older adults","volume":"66","author":"Florence CS","year":"2018","journal-title":"J Am Geriatr Soc"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.maturitas.2013.02.009","article-title":"Risk factors for falls in older adults","volume":"75","author":"Ambrose 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(Basel)"},{"key":"ref8","first-page":"589","article-title":"AI chatbot responses to patient questions","volume":"183","author":"Ayers JW","year":"2023","journal-title":"JAMA Intern Med"},{"issue":"1","key":"ref9","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/s10439-025-03676-4","article-title":"Artificial intelligence in physical therapy: evaluating ChatGPT's role in clinical decision support for musculoskeletal care","volume":"53","author":"Hao J","year":"2025","journal-title":"Ann Biomed Eng"},{"issue":"5","key":"ref10","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1589\/jpts.36.234","article-title":"Evaluation of the accuracy of ChatGPT's responses to and references for clinical questions in physical therapy","volume":"36","author":"Sawamura S","year":"2024","journal-title":"J Phys Ther Sci"},{"issue":"6","key":"ref11","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1001\/jamainternmed.2023.1838","article-title":"Comparing physician and 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