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undResearch%20has%20shown%20social%20inequalities%20in%20health%20parameters%20in%20the%20general%20population%2C%20but%20there%20is%20a%20lack%20of%20evidence%20in%20medical%20rehabilitation.ObjectiveTo%20investigate%20social%20inequalities%20in%20the%20utilisation%20and%20process%20of%20rehabilitation%20among%20people%20with%20non-specific%20chronic%20low%20back%20pain%20%28CLBP%29%20and%20multiple%20psychological%20strains%20undergoing%20inpatient%20multidisciplinary%20orthopaedic%20rehabilitation%20%28MOR%29.MethodsThis%20multicentre%20study%20enrolled%20910%20patients%20with%20non-specific%20CLBP%20%28ICD-10%3A%20M51%5C%2F53%5C%2F54%29%20and%20examined%20the%20differences%20in%20self-initiative%20to%20attend%20rehabilitation%2C%20and%20psychological%2C%20work-related%2C%20and%20pain-related%20parameters%20prior%20to%20MOR%20stratified%20by%20the%20social%20class%20index%20%28lower%2C%20middle%2C%20upper%20class%29.%20Moreover%2C%20socioeconomic%20differences%20were%20investigated%20in%20the%20frequency%20distributions%20of%20psychosocial%20cut-off%20scores%20before%20rehabilitation%2C%20indicating%20the%20clinical%20relevance%20of%20the%20social%20class%20index.ResultsCompared%20with%20patients%20in%20both%20higher%20classes%2C%20patients%20in%20the%20lower%20class%20showed%20significantly%20lower%20self-initiative%20for%20rehabilitation%20as%20well%20as%20unfavourable%20values%20for%20pain%20self-efficacy%20and%20work-related%20and%20pain-related%20parameters.ConclusionsHealth-related%20inequalities%20in%20the%20inpatient%20MOR%20of%20non-specific%20CLBP%20were%20supported.%20To%20promote%20better%20health%20equity%2C%20patients%20should%20be%20allocated%20to%20rehabilitation%20according%20to%20their%20needs%20and%20individually%20strengthened%20in%20terms%20of%20their%20self-efficacy%2C%20health%20literacy%2C%20and%20ability%20to%20cope%20with%20pain%20and%20work-related%20stress.%22%2C%22date%22%3A%222025-05-15%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1177%5C%2F10538127251326157%22%2C%22ISSN%22%3A%221878-6324%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%2246NNKHWR%22%2C%22DVKJ66JM%22%2C%225XGJEAVF%22%5D%2C%22dateModified%22%3A%222025-05-17T20%3A14%3A24Z%22%7D%7D%2C%7B%22key%22%3A%22RWWZ8WNB%22%2C%22library%22%3A%7B%22id%22%3A6298796%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Turner%20et%20al.%22%2C%22parsedDate%22%3A%222025-05-15%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%201.35%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ETurner%2C%20Jonathan%2C%20Damon%20Berry%2C%20Julie%20Doyle%2C%20Harish%20Kambampati%2C%20Orla%20Moran%2C%20Suzanne%20Smith%2C%20Michael%20Wilson%2C%20and%20Dympna%20O%27Sullivan.%20%5C%22%3Ca%20class%3D%27zp-ItemURL%27%20href%3D%27https%3A%5C%2F%5C%2Febooks.iospress.nl%5C%2Fdoi%5C%2F10.3233%5C%2FSHTI250489%27%3EImproving%20the%20Readability%20of%20Dementia%20Information%20Documents%20Using%20ChatGPT%3C%5C%2Fa%3E.%5C%22%20%3Ci%3EStudies%20in%20Health%20Technology%20and%20Informatics%3C%5C%2Fi%3E%20327%20%28May%2015%2C%202025%29%3A%20880%5Cu201381.%20https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.3233%5C%2FSHTI250489.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Improving%20the%20Readability%20of%20Dementia%20Information%20Documents%20Using%20ChatGPT%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jonathan%22%2C%22lastName%22%3A%22Turner%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Damon%22%2C%22lastName%22%3A%22Berry%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julie%22%2C%22lastName%22%3A%22Doyle%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Harish%22%2C%22lastName%22%3A%22Kambampati%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Orla%22%2C%22lastName%22%3A%22Moran%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Suzanne%22%2C%22lastName%22%3A%22Smith%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%22%2C%22lastName%22%3A%22Wilson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dympna%22%2C%22lastName%22%3A%22O%27Sullivan%22%7D%5D%2C%22abstractNote%22%3A%22There%20is%20much%20information%20available%20on%20dementia%2C%20but%20information%20may%20not%20be%20written%20at%20an%20appropriate%20level%20for%20a%20lay%20reader.%20One%20aim%20of%20the%20CoDESIGN%20project%20is%20to%20simplify%20information%20available%20for%20those%20who%20have%20lower%20levels%20of%20literacy.%20We%20investigate%20the%20potential%20to%20simplify%20documents%20to%20reflect%20the%20literacy%20abilities%20of%20the%20reader.%20We%20report%20on%20the%20ability%20of%20ChatGPT%20to%20modify%20documents%20to%20such%20target%20reading%20levels%20while%20retaining%20the%20accuracy%20and%20completeness%20of%20the%20docum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Ortloff, Jan-Hendrik, and Daniela Schmitz. "Health Literacy und Adipositas." Pflegezeitschrift 78, no. 6 (June 1, 2025): 20–23.
Zhou, Mi, Yun Pan, Yuye Zhang, Xiaomei Song, and Youbin Zhou. "Evaluating AI-generated patient education materials for spinal surgeries: Comparative analysis of readability and DISCERN quality across ChatGPT and deepseek models." International Journal of Medical Informatics 198 (June 2025): 105871. https://doi.org/10.1016/j.ijmedinf.2025.105871.
Peeler, Anna, Oladayo Ayobami Afolabi, Katherine E. Sleeman, Maha El Akoum, Nahla Gafer, Asmus Hammerich, and Richard Harding. "Confronting global inequities in palliative care." BMJ Global Health 10, no. 5 (May 16, 2025): e017624. https://doi.org/10.1136/bmjgh-2024-017624.
Bracey, Solomon, Nasif Bhuiyan, Amelia Pietropaolo, and Bhaskar Somani. "Exploring the impact of artificial intelligence-enabled decision aids in improving patient inclusivity, empowerment, and education in urology: a systematic review by EAU endourology." Current Opinion in Urology, May 15, 2025. https://doi.org/10.1097/MOU.0000000000001301.
Frey, Nicolas, Louis Agha-Mir-Salim, Elena Hinz, Akira-Sebastian Poncette, and Felix Balzer. "Assessing Healthcare Stakeholder Understanding of Machine Learning Documentation." Studies in Health Technology and Informatics 327 (May 15, 2025): 318–22. https://doi.org/10.3233/SHTI250336.
Heizmann, Carolin, Patricia Gleim, and Philipp Kellmeyer. "Participatory Co-Creation of an AI-Supported Patient Information System: A Multi-Method Qualitative Study." Studies in Health Technology and Informatics 327 (May 15, 2025): 338–42. https://doi.org/10.3233/SHTI250340.
Tian, Cindy Yue, Clement Cheuk Wai Ng, Luyao Xie, Phoenix K. H. Mo, Dong Dong, Don Nutbeam, and Eliza L. Y. Wong. "Conceptualisation of critical health literacy-insights from Western and East Asian perspectives: a scoping review." BMJ Global Health 10, no. 5 (May 15, 2025): e018232. https://doi.org/10.1136/bmjgh-2024-018232.
Hampel, Petra, and Kevin Dadaczynski. “Social Inequalities among Inpatients with Non-Specific Chronic Low Back Pain in Medical Rehabilitation. A Secondary Analysis from a Randomised Controlled Trial.” Journal of Back and Musculoskeletal Rehabilitation, May 15, 2025, 10538127251326156. https://doi.org/10.1177/10538127251326157.
Turner, Jonathan, Damon Berry, Julie Doyle, Harish Kambampati, Orla Moran, Suzanne Smith, Michael Wilson, and Dympna O'Sullivan. "Improving the Readability of Dementia Information Documents Using ChatGPT." Studies in Health Technology and Informatics 327 (May 15, 2025): 880–81. https://doi.org/10.3233/SHTI250489.
Hering, Annika, and Jan-David Liebe. "Effectiveness of Online Self-Learning Platforms for Promoting Digital Health Literacy: A Randomized Controlled Trial (RCT)." Studies in Health Technology and Informatics 327 (May 15, 2025): 1044–48. https://doi.org/10.3233/SHTI250542.
Schmiedmayer, Paul, Adrit Rao, Philipp Zagar, Lauren Aalami, Vishnu Ravi, Aydin Zahedivash, Dong-Han Yao, Arash Fereydooni, and Oliver Aalami. "LLMonFHIR: A Physician-Validated, Large Language Model-Based Mobile Application for Querying Patient Electronic Health Data." JACC. Advances 4, no. 6 Pt 1 (May 14, 2025): 101780. https://doi.org/10.1016/j.jacadv.2025.101780.
Schröer-Günther, Milly, Klaus Koch, and Inger Scheike. "Taking a look behind the scenes: Updating health information on Gesundheitsinformation.de." Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen, May 14, 2025. https://doi.org/10.1016/j.zefq.2025.04.002.
Killinger, Kristina, and Kathrin Haßdenteufel. "Digitalisierung zur Förderung der Nachhaltigkeit in der Frauenheilkunde." Die Gynäkologie, May 12, 2025.
Wieben, Ann, Linsey Steege, Roger Brown, and Andrea Gilmore-Bykovskyi. "Examining the Impact of Interface Design and Nurse Characteristics on Satisfaction With Machine Learning Decision Support Explanations." Computers, Informatics, Nursing: CIN, May 8, 2025. https://doi.org/10.1097/CIN.0000000000001323.
Schiffelers, Tanja, Kaya Kapteijns, Laura Hochstenbach, Bas Kietselaer, Esther Talboom-Kamp, and Marieke Spreeuwenberg. "Best Practices in Organizing Digital Transformation: Qualitative Case Study in Dutch Hospital Care." Journal of Medical Internet Research 27 (May 8, 2025): e63576. https://doi.org/10.2196/63576.
Gavai, Anand K., and Jos van Hillegersberg. "AI-driven personalized nutrition: RAG-based digital health solution for obesity and type 2 diabetes." PLOS Digital Health 4, no. 5 (May 6, 2025): e0000758. https://doi.org/10.1371/journal.pdig.0000758.
Dontchos, Brian N., Katerina Dodelzon, Sonya Bhole, Christine E. Edmonds, Lisa A. Mullen, Jay R. Parikh, Carolyn P. Daly, James A. Epling, Soren Christensen, and Lars J. Grimm. "Opinions and preferences regarding artificial intelligence use in healthcare delivery: results from a national multi-site survey of breast imaging patients." Journal of the American College of Radiology: JACR, May 6, 2025, S1546-1440(25)00268-6. https://doi.org/10.1016/j.jacr.2025.05.001.
Stern, Christina. "Schwangerschaft als Option für langfristige Gesundheitsvorsorge." Gynäkologie in der Praxis, May 6, 2025.
Kentenich, Hannah, Arim Shukri, Dirk Müller, Bastian Wein, Oliver Bruder, Stephanie Stock, and Yana Kampfer. “Sex Differences in Guideline Adherence for Coronary Angiography in Patients with Suspected Chronic Coronary Syndrome in Germany: Insights from the ENLIGHT-KHK Trial.” Clinical Research in Cardiology: Official Journal of the German Cardiac Society, May 6, 2025. https://doi.org/10.1007/s00392-025-02655-y.
Liu, Sizuo, Yufen Lin, Runze Yan, Zhiyuan Wang, Delgersuren Bold, and Xiao Hu. "Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb." JMIR Cancer, May 5, 2025. https://doi.org/10.2196/68516.
Zeiler, Michael, Sandra Vögl, Ursula Prinz, Nino Werner, Gudrun Wagner, Andreas Karwautz, Natalie Zeller, Lorenz Ackermann, and Karin Waldherr. “Game Design, Effectiveness, and Implementation of Serious Games Promoting Aspects of Mental Health Literacy Among Children and Adolescents: Systematic Review.” JMIR Mental Health 12 (May 5, 2025): e67418. https://doi.org/10.2196/67418.
Kelly, Anthony, Eoin Noctor, Laura Ryan, and Pepijn van de Ven. "The Effectiveness of a Custom AI Chatbot for Type 2 Diabetes Mellitus Health Literacy: Development and Evaluation Study." Journal of Medical Internet Research 27 (May 5, 2025): e70131. https://doi.org/10.2196/70131.
Stauch, Lisa, Denise Renninger, Pia Rangnow, Anja Hartmann, Lisa Fischer, Kevin Dadaczynski, and Orkan Okan. "Digital Health Literacy of Children and Adolescents and Its Association With Sociodemographic Factors: Representative Study Findings From Germany." Journal of Medical Internet Research 27 (May 5, 2025): e69170. https://doi.org/10.2196/69170.
Berger-Estilita, Joana, Mia Gisselbaek, Arnout Devos, Albert Chan, Pier Luigi Ingrassia, Basak Ceyda Meco, Odmara L. Barreto Chang, et al. "AI and inclusion in simulation education and leadership: a global cross-sectional evaluation of diversity." Advances in Simulation (London, England) 10, no. 1 (May 4, 2025): 26. https://doi.org/10.1186/s41077-025-00355-1.
Agaoglu, Ferhat Onur, Murat Bas, Sinan Tarsuslu, Lokman Onur Ekinci, and Nihat Bugra Agaoglu. "The mediating digital literacy and the moderating role of academic support in the relationship between artificial intelligence usage and creative thinking in nursing students." BMC Nursing 24, no. 1 (May 2, 2025): 484. https://doi.org/10.1186/s12912-025-03128-3.
Wang, Bo, Cecilie Katrine Grønvik, Karen Fortuna, Trude Eines, Ingunn Mundal, and Marianne Storm. "What Is in There for Artificial Intelligence to Support Mental Health Care for Persons with Serious Mental Illness? Opportunities and Challenges." Studies in Health Technology and Informatics 325 (May 2, 2025): 8–15. https://doi.org/10.3233/SHTI250208.
Mac Dermott, Giulia, Clément Meier, Solenne Blanc, and Claudia Gamondi. “Health Literacy, End-of-Life Health Literacy and Assisted Suicide: Attitudes in Older Adults - a Cross-Sectional Study.” BMJ Supportive & Palliative Care, May 2, 2025, spcare-2025-005560. https://doi.org/10.1136/spcare-2025-005560.
Becker, Bianca. "Wenn das Studium krank macht." Hebammen Wissen 6, no. 3 (May 1, 2025): 47–47.
Kricheldorff, Cornelia, Stefanie Engler, and Renate Schramek. "Altern - Gesundheit - Bildung." Zeitschrift für Gerontologie und Geriatrie 58, no. 3 (May 1, 2025): 169–71.
Konopik, Nadine. "Gesundheitskompetenz im Alter." Zeitschrift für Gerontologie und Geriatrie 58, no. 3 (May 1, 2025): 172–79.
Nickel, Brooke, Julie Ayre, M. Luke Marinovich, David P. Smith, Karen Chiam, Christoph I. Lee, Timothy J. Wilt, Melody Taba, Kirsten McCaffery, and Nehmat Houssami. "Are AI chatbots concordant with evidence-based cancer screening recommendations?" Patient Education and Counseling 134 (May 2025): 108677. https://doi.org/10.1016/j.pec.2025.108677.
Weber, V., A. Truelove, S. S. Gohari, L. A. Wynne, R. J. Kearns, and J. E. O'Carroll. "Online patient information on labour epidural analgesia provided by UK National Health Services hospitals: assessment of readability and improvement of readability standards using ChatGPT." International Journal of Obstetric Anesthesia 62 (May 2025): 104344. https://doi.org/10.1016/j.ijoa.2025.104344.
Tripathi, Satvik, Dana Alkhulaifat, Meghana Muppuri, Ameena Elahi, and Farouk Dako. "Large Language Models for Global Health Clinics: Opportunities and Challenges." Journal of the American College of Radiology: JACR, April 29, 2025, S1546-1440(25)00205-4. https://doi.org/10.1016/j.jacr.2025.04.007.
Fichtner, Urs Alexander, Andy Maun, and Erik Farin-Glattacker. “Predictors for Psychosocial Consequences of Screening for Liver Diseases: A Data-Driven Approach.” PloS One 20, no. 4 (April 29, 2025): e0319488. https://doi.org/10.1371/journal.pone.0319488.
Zimmermann, Maximilian, Charlotte Maria von Plessen, Doreen Kroppen, Sarah B. Stanzel, Melanie Berger, Maximilian Wollsching-Strobel, F. Feldmeyer, et al. "Knowledge of and Attitudes Towards Standard Care in Patients with COPD." International Journal of Chronic Obstructive Pulmonary Disease 20 (April 29, 2025): 1287–97. https://doi.org/10.2147/COPD.S489395.
Pérez-Esteve, Clara, Mercedes Guilabert, Valerie Matarredona, Einav Srulovici, Susanna Tella, Reinhard Strametz, and José Joaquín Mira. "AI in Home Care-Evaluation of Large Language Models for Future Training of Informal Caregivers: Observational Comparative Case Study." Journal of Medical Internet Research 27 (April 28, 2025): e70703. https://doi.org/10.2196/70703.
Chokkakula, Santosh, Siomui Chong, Bing Yang, Hong Jiang, Juan Yu, Ruiqin Han, Idress Hamad Attitalla, Chengliang Yin, and Shuyao Zhang. "Quantum leap in medical mentorship: exploring ChatGPT's transition from textbooks to terabytes." Frontiers in Medicine 12 (April 28, 2025): 1517981. https://doi.org/10.3389/fmed.2025.1517981.
Høj, Simon, Vibeke Backer, Charlotte Suppli Ulrik, Torben Sigsgaard, and Howraman Meteran. "Artificial intelligence in asthma health literacy: a comparative analysis of ChatGPT versus Gemini." The Journal of Asthma: Official Journal of the Association for the Care of Asthma, April 26, 2025, 1–7. https://doi.org/10.1080/02770903.2025.2495729.
Buchgraber-Schnalzer, Bianca, Marco Tilli, Rupert Beinhauer, Waltraud Jelinek-Krickl, Raphaele Raab, Klaus Lichtenegger, Michael Hammer, Gernot Reishofer, and Helmut Ritschl. "cMOOC Recommendations to Enhance AI Literacy Among Healthcare Professionals." Studies in Health Technology and Informatics 324 (April 24, 2025): 135–40. https://doi.org/10.3233/SHTI250174.
Ding, Dan, Lindsey Morris, Gina Novario, Andrea Fairman, Kacey Roehrich, Palma Foschi Walko, and Jessica Boateng. "Mainstream Smart Home Technology-Based Intervention to Enhance Functional Independence in Individuals With Complex Physical Disabilities: Single-Group Pre-Post Feasibility Study." JMIR Rehabilitation and Assistive Technologies 12 (April 24, 2025): e70855. https://doi.org/10.2196/70855.
Lindbäck, Yvonne, Karin Schröder, Torkel Engström, Karin Valeskog, and Sofi Sonesson. "Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study." BMC Medical Education 25, no. 1 (April 24, 2025): 603. https://doi.org/10.1186/s12909-025-07106-w.
Kostrzewa, Regina. "Konsumkompetenz entwickeln." Sozial Extra, April 24, 2025.
Wong, Brian Li Han, Garry Aslanyan, Warisa Panichkriangkrai, Ricardo Baptista Leite, Jemilah Mahmood, and Anders Nordström. "From algorithms to negotiations: Why health diplomacy must adapt." PLOS Global Public Health 5, no. 4 (April 23, 2025): e0004488. https://doi.org/10.1371/journal.pgph.0004488.
Hörsch, Janna. "Konsumkompetenz praxisbezogen weiterdenken." Sozial Extra, April 23, 2025.
Giaxi, Paraskevi, Victoria Vivilaki, Angeliki Sarella, and Kleanthi Gourounti. "Artificial Intelligence in Midwifery: A Scoping Review of Current Applications, Future Prospects, and Midwives' Perspectives." Healthcare (Basel, Switzerland) 13, no. 8 (April 19, 2025): 942. https://doi.org/10.3390/healthcare13080942.
López-Pérez, Belén, Yuhui Chen, Xiuhui Li, Shixing Cheng, and Pooya Razavi. “Exploring the Potential of Large Language Models to Understand Interpersonal Emotion Regulation Strategies from Narratives.” Emotion (Washington, D.C.), April 17, 2025. https://doi.org/10.1037/emo0001528.
Tripathi, Satvik, Liam Mutter, Meghana Muppuri, Suhani Dheer, Emiliano Garza-Frias, Komal Awan, Aakash Jha, et al. "PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered care." European Journal of Radiology 187 (April 17, 2025): 112124. https://doi.org/10.1016/j.ejrad.2025.112124.
Vieth, Katharina, Eva Hummers, Sascha Roder, Frank Müller, Greta S. Wegener, Christina Müllenmeister, Iman El-Sayed, Gloria Königs, Dominik Schröder, and Tim Schmachtenberg. "Wie gehen Menschen mit Long COVID mit ihren Symptomen und Alltagseinschränkungen um? Eine qualitative Studie mit vier Fokusgruppen." Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen, April 17, 2025. https://doi.org/10.1016/j.zefq.2025.03.005.
Reaver, Carrie N., Daniel E. Pereira, Elisa V. Carrillo, Carolena Rojas Marcos, and Charles A. Goldfarb. "Evaluating the Performance of Artificial Intelligence for Improving Readability of Online English- and Spanish-Language Orthopaedic Patient Educational Material: Challenges in Bridging the Digital Divide." The Journal of Bone and Joint Surgery. American Volume 107, no. 8 (April 16, 2025): e36. https://doi.org/10.2106/JBJS.24.01078.
Lubasch, Johanna Sophie, Hannah Nordmann, Mona Voigt-Barbarowicz, Sonia Lippke, Christina Derksen, Anna Levke Brütt, and Lena Ansmann. "Process evaluation of a co-design and implementation study to improve professional health literacy in a regional care hospital (PIKoG): a mixed-methods study." BMC Health Services Research 25, no. 1 (April 15, 2025): 555.
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