Skills to act from a Positive Health approach: in comparison with shared decision-making: a scoping review by Renske Visser, Renske Visser, Martine Veehof, Sandra van Hogen-Koster, Sandra van Hogen-Koster, Sandra van Hogen-Koster, on behalf of the RENurse Consortium

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A decision rule for identifying patients at high risk for impaired lung diffusion capacity after COVID-19 by O. I. Savushkina, E. S. Muraveva, I. V. Zhitareva, D. V. Davydov, E. V. Kryukov

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The role of sex, age, and BMI in treatment decisions for knee osteoarthritis: conservative management versus total knee replacement by Fabiola Ojeda, Laura Tío, Francisco Castro-Domínguez, Simone Tassani, Jerome Noailly, Jordi Monfort

“…Methods This case–control study compared patients assigned to TKR versus conservative management, examining subjects aged 60–75 years with radiographically confirmed KOA (Kellgren–Lawrence grades 2–3), with all participants evaluated by blinded clinicians using validated assessment tools including Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Hospital Anxiety and Depression Scale (HADs), Pain Catastrophizing Scale (PCS) and Daily physical activity (DPA) questionnaires. …”
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Factors guiding gastrostomy tube decision-making for caregivers of children with cystic fibrosis: a scoping review protocol by Amy Sisson, Emily Zientek, Sanika Rane, Chelsea Godfrey, Kimberly M. Dickinson

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A qualitative study of diversity in precision medicine research: The development and stakeholder assessment of a Diversity Decision Map by Janet K. Shim, Caitlin E. McMahon, Larissa Saco, Michael Bentz, Nicole Foti, Sandra Soo-Jin Lee

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Development of a Human Factors–Based Guideline to Support the Design, Evaluation, and Continuous Improvement of Clinical Decision Support by Selvana Awad, BPharm, MHSM, Thomas Loveday, MPsych, PhD, Richard Lau, BPsychSc, Melissa T. Baysari, BPsych, PhD

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Decisions regarding antibiotic prescribing for acute sinusitis in Norwegian general practice. A qualitative focus group study by Jorunn Thaulow, Torunn Bjerve Eide, Sigurd Høye, Holgeir Skjeie

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A scalable reinforcement learning framework inspired by hippocampal memory mechanisms for efficient contextual and sequential decision making by Hamed Poursiami, Ayana Moshruba, Keiland W. Cooper, Derek Gobin, Md Abdullah-Al Kaiser, Ankur Singh, Rouhan Noor, Babak Shahbaba, Akhilesh Jaiswal, Norbert J. Fortin, Maryam Parsa

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Implementation and performance of a nurse administered modified PEN-FAST clinical decision rule in the electronic health record by Wesley J. Hoffmann, Shivani Patel, Elizabeth J. Lee, Natalie A. Finch, Christy P. Su, Nicole A. Teran, Yao-Hsuan Huang, Fadi Shehadeh, Muhammad Yasser Alsafadi

“…Results: Overall agreement of high risk and low risk results was 84.3%. Registered nurse evaluations with the PEN-FAST clinical decision rule for detecting a high-risk patient demonstrated a sensitivity of 67%, specificity of 89.8%, positive predictive value of 67.9%, and negative predictive value of 89.5%. …”
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Clinicians perspectives towards the application of shared decision making in tertiary CVD care including the multidisciplinary heart team by Mirjam M. Garvelink, Tom Oirbans, Lea M. Dijksman, Paul B. van der Nat, Dennis van Veghel, Daniela N. Schulz, Marcel G.W. Dijkgraaf, Lucas V.A. Boersma

“…Background: Shared decision-making (SDM), is a sine qua non in healthcare. …”
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The concordance of treatment decision guided by OncotypeDX and the PREDICT tool in real‐world early‐stage breast cancer by Daniel A. Goldstein, Chen Mayer, Tzippy Shochat, Daniel Reinhorn, Assaf Moore, Michal Sarfaty, Rinat Yerushalmi, Hadar Goldvaser

“…Abstract Background Decision‐making regarding adjuvant chemotherapy for early‐stage breast cancer can be guided by genomic assays such as OncotypeDX. …”
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Development and Pilot Testing of a Patient‐Centered Reproductive Decision Aid for Pregnancy‐Capable People With Rheumatic Diseases by Mehret Birru Talabi, Megan E. B. Clowse, Kaleab Abebe, Susan J. Blalock, Lisa S. Callegari, Traci M. Kazmerski, Raelynn O'Leary, Ashley Deal, Catherine Wright, Leslie E. Pierce, Olivia M. Stransky, Goutham Lakkaraju, Swetha Jasti, Sonya Borrero

“…We conducted a pilot trial to assess feasibility and acceptability of MyVoice:Rheum and to assess its preliminary effectiveness compared to a freely available online pamphlet about reproductive and RMDs. Methods Using a parallel‐arm randomized pilot trial design, we assigned women aged 18 to 44 years with RMDs in a 3:1 ratio to receive either MyVoice:Rheum or the control pamphlet immediately before a rheumatology clinical encounter. …”
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Surgeons consider Rockwood classification the most important factor for decision‐making in acute, high‐grade acromioclavicular dislocations by Eduard Van Eecke, Arno Alexander Macken, Derek van Deurzen, Thibault Lafosse, Antoon van Raebroeckx, Geert Alexander Buijze, Michel van den Bekerom, AC Instability Collaborator Group

“…RW classification was considered the most important factor influencing surgical decision‐making for most surgeons (69%). Two thirds of the participants answered that smoking does not impact their decision towards surgery and as to the influence of body mass index (BMI) on decision‐making, half of the respondents would not alter their preferred treatment based on BMI. …”
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Assessment of the knowledge landscape, information needs and attitude towards decision support systems among hemp farmers in Florida by Alwin Hopf, Jonathan A. Watson, Mickie Swisher, Zachary Brym, Gerrit Hoogenboom

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Neonatal nurses’ experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus by Abeer Nuwayfi Alruwaili, Afrah Madyan Alshammari, Ali Alhaiti, Nadia Bassuoni Elsharkawy, Sayed Ibrahim Ali, Osama Mohamed Elsayed Ramadan

“…Results Five themes emerged: (1) Clinical Decision-Making, where 93.9% of nurses reported that AI-enhanced judgment but required human validation; (2) Professional Practice Transformation, with 84.8% noting evolving role boundaries and workflow changes; (3) Organizational Factors, as 97.0% emphasized the necessity of infrastructure, training, and policy integration; (4) Cultural Influences, with 87.9% highlighting AI’s alignment with family-centered care; and (5) Implementation Challenges, where 90.9% identified technical barriers and adaptation strategies. …”
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A knowledge-based clinical decision support system for personalized health examination items in China: design and evaluation by Dan Wu, Jiye An, Shan Nan, Yutong She, Huilong Duan, Ning Deng

“…Methods An ontology with the data properties as the core design was created to guide the knowledge expression. …”
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Factors driving decisions in the use of HIV pre-exposure prophylaxis: a real-world study in the United States by Yohance Whiteside, Abigail McMillan, Fritha Hennessy, Phoebe Salmon, Tim Holbrook, Bekana K. Tadese

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Semantic-Driven Approach for Validation of IoT Streaming Data in Trustable Smart City Decision-Making and Monitoring Systems by Oluwaseun Bamgboye, Xiaodong Liu, Peter Cruickshank, Qi Liu

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Clinical decision points for two plasma p‐tau217 laboratory developed tests in neuropathology confirmed samples by Anna E. Mammel, Ging‐Yuek Robin Hsiung, Ali Mousavi, Kelsey Hallett, Ian R. Mackenzie, Veronica Hirsch‐Reinshagen, Don Biehl, Pradip Gill, Mary Encarnacion, Hans Frykman

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Usability testing a web application to support evidence-based commissioning decisions for implementing mobile stroke units by Lisa Moseley, Anna Laws, Michael Allen, Gary A. Ford, Martin James, Stephen McCarthy, Graham McClelland, Laura J. Park, Kerry Pearn, Daniel Phillips, Christopher Price, Lisa Shaw, Phil White, David Wilson, Peter McMeekin, Jason Scott

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