Objective: To develop and user-test a patient decision aid portraying the benefits and harms of non-surgical management and surgery for Achilles tendon ruptures.
Design: Mixed methods.
Setting: A draft decision aid was developed using guidance from a multidisciplinary steering group and existing patient decision aids. Participants were recruited through social media.
Participants: People who have previously sustained an Achilles tendon rupture and health professionals who manage these patients.
Primary And Secondary Outcomes: Semi-structured interviews and questionnaires were used to gather feedback on the decision aid from health professionals and patients who had previously suffered an Achilles tendon rupture. The feedback was used to redraft the decision aid and assess acceptability. An iterative cycle of interviews, redrafting according to feedback and further interviews was used. Interviews were analysed using reflexive thematic analysis. Questionnaire data were analysed descriptively.
Results: We interviewed 18 health professionals (13 physiotherapists, 3 orthopaedic surgeons, 1 chiropractor, 1 sports medicine physician) and 15 patients who had suffered an Achilles tendon rupture (median time since rupture was 12 months). Most health professionals and patients rated the aid's acceptability as good-excellent. Interviews showcased agreement among health professionals and patients on most aspects of the decision aid: introduction, treatment options, comparing benefits and harms, questions to ask health professionals and formatting. However, health professionals had differing views on details about Achilles tendon retraction distance, factors that modify the risk of harms, treatment protocols and evidence on benefits and harms.
Conclusion: Our patient decision aid is an acceptable tool to both patients and health professionals, and our study highlights the views of key stakeholders on important information to consider when developing a patient decision aid for Achilles tendon rupture management. A randomised controlled trial evaluating the impact of this tool on the decision-making of people considering Achilles tendon surgery is warranted.
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http://dx.doi.org/10.1136/bmjopen-2023-072553 | DOI Listing |
Sci Rep
January 2025
Crop and Horticultural Science Research Department, Mazandaran Agricultural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Tajrish, Iran.
Plum fruit fresh weight (FW) estimation is crucial for various agricultural practices, including yield prediction, quality control, and market pricing. Traditional methods for estimating fruit weight are often destructive, time-consuming, and labor-intensive. In this study, we addressed the problem of predicting plum FW using artificial intelligence (AI) methods based on fruit dimensions.
View Article and Find Full Text PDFHPB (Oxford)
December 2024
Fondazione IRCCS Policlinico San Matteo, SC Chirurgia Generale 1, Pavia, Italy. Electronic address:
Background: Cystic echinococcosis (CE) is a significant public health issue, primarily affecting the liver. While several management strategies exist, there is a lack of predictive tools to guide surgical decisions for hepatic CE. This study aimed to develop predictive models to support surgical decision-making in hepatic CE, enhancing the precision of patient allocation to surgical or non-surgical management pathways.
View Article and Find Full Text PDFInt J Obstet Anesth
December 2024
Department of Anesthesiology, 8700 Beverly Blvd #4209, Cedars-Sinai Medical Center, Los Angeles, CA 90064, United States. Electronic address:
Introduction: Over 90% of pregnant women and 76% expectant fathers search for pregnancy health information. We examined readability, accuracy and quality of answers to common obstetric anesthesia questions from the popular generative artificial intelligence (AI) chatbots ChatGPT and Bard.
Methods: Twenty questions for generative AI chatbots were derived from frequently asked questions based on professional society, hospital and consumer websites.
Crit Care
January 2025
División de Terapia Intensiva, Hospital Juan A. Fernández, Buenos Aires, Argentina.
The advancements in cardiovascular imaging over the past two decades have been significant. The miniaturization of ultrasound devices has greatly contributed to their widespread adoption in operating rooms and intensive care units. The integration of AI-enabled tools has further transformed the field by simplifying echocardiographic evaluations and enhancing the reproducibility of hemodynamic measurements, even for less experienced operators.
View Article and Find Full Text PDFJCO Clin Cancer Inform
January 2025
Emory University School of Medicine, Atlanta, GA.
Purpose: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various cancers. Single-drug ICI therapy (immuno-oncology [IO] monotherapy) that targets PD-L1 is the standard of care in patients with advanced non-small cell lung cancer (NSCLC) with PD-L1 expression ≥50%. We sought to find out if a machine learning (ML) algorithm can perform better as a predictive biomarker than PD-L1 alone.
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