Experiences of older adult Filipino-Americans surrounding eye surgery and factors in health decision-making: a qualitative study by Marycon C. Jiro, Michael Sigua, Migel Dio, Lauren Hennein, Jennifer Cocohoba

“…A thematic analysis was performed informed by critical race theory and PEN3 cultural model. Standard methods of coding followed by determination of themes were conducted and consensus was reached among the three coders. …”
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Prediction of coal dust particle size after spraying dust reduction in roadway based on orthogonal experiment and regression analysis by Bingyou JIANG, Yuqian ZHANG, Changfei YU, Ben JI, Haoyu WANG, Zhuang LIU

“…Based on the comprehensive experimental platform for spray dust removal, orthogonal experiments and regression analysis methods were applied to study the change rule of coal dust characteristic particle size D90 after spray dust reduction under the effect of three factors, namely, spray frame distance from dust source, tunnel wind speed and nozzle water supply pressure, and correlation analysis was carried out on 25 groups of experimental results. …”
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Perspectives of clinicians on shared decision making in hospice care for advanced cancer patients in Nanjing: a descriptive qualitative study by Tianyu Pang, Kairan Yan, Yujie Zhou, Lulu Sun, Ligui Wu, Ling Yuan, Zhi Zhou

“…Results A total of 17 clinicians participated. Three main themes were extracted: (1) Clinician attitudes regarding SDM; (2) Influencing factors are multidimensional; (3) Recommendations for implementing SDM in hospice care decision-making. …”
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Promoting cross-culture research on moral decision-making with standardized, culturally-equivalent dilemmas: The 4CONFiDe set by Cinzia Cecchetto, Raffaella Ida Rumiati, Valentina Parma

“…Introduction: Moral dilemmas are a common tool in moral decision-making research. However, they are often hardly comparable across languages and cultures. …”
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The need to update Ethiopia’s national health and medicine policies: essential tools for informed decision-making in healthcare and the pharmaceutical sectors by Ewunetie Mekashaw Bayked

“…The author presented published evidence to support the perspective that Ethiopia’s national health and medicine policies need to be updated.ResultsEthiopia’s national health and medicine policies have remained unchanged for over three decades, despite their critical role in guiding healthcare decision-making and reflecting political commitment to advancing healthcare goals through regular monitoring and evaluation. …”
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Clinical decision-making for uveal melanoma radiotherapy: comparative performance of experienced radiation oncologists and leading generative AI models by Xing Wang, Peng Wang

“…This study examined the comparative accuracy of three leading generative AI models and experienced radiation oncologists in guideline-based clinical decision-making for uveal melanoma.MethodsA structured, 20-question examination reflecting standard radiotherapy guidelines was developed. …”
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Task Shifting, eHealth and Shared Decision‐Making—Preference Heterogeneity in the Adult Population for Developments in Outpatient Primary Healthcare by Zora Föhn

“…The LCA indicated two classes for acute health problem and three classes for routine examination, with varying latent preference structures. …”
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Enhancing Logistical Performance in a Colombian Citrus Supply Chain Through Joint Decision Making: A Simulation Study by Juan Camilo Vargas-Muñoz, Flor Angela Sanchez-Nitola, Wilson Adarme Jaimes, Richard Rios

“…<i>Methods</i>: We employed agent-based modeling and simulation to evaluate three scenarios: single distribution (the current system referred to as Single-distribution), joint consolidation (Joint-consolidation), and joint consolidation–distribution (Joint-consolidation-distribution). …”
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Factors influencing the degree of participation in surgical decision-making among Chinese patients with prostate cancer: A qualitative research by Jie Cao, Chunxue Peng, Xiaoying Lu, Lingjun Zhou, Jing Wu

“…Results: According to the analysis and summary of the interviews, there were three factors affecting the degree of participation in surgical decision-making. …”
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Patient priorities and decision-making process when choosing between colonic investigation alternatives: a qualitative interview study by Shaun Treweek, Philip Wilson, Campbell MacLeod, Angus James Mackintosh Watson, Samantha Robinson

“…Objective To establish patients’ perceptions of decision-making and prioritisation of test attributes when considering a colonic investigation.Methods National Health Service Highland patients on the waiting list for a colon capsule endoscopy (CCE) and colonoscopy were invited to undergo a semistructured qualitative telephone interview. …”
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Role of risk perceptions and vaccine hesitancy on decision-making among low-income mothers in Kenya: a qualitative study by Stephen Gichuhi Kimotho

“…The aim of this study was to explore the determinants of vaccine hesitancy among mothers from low-income rural communities, risk perceptions associated with vaccines and how these factors influence decision-making regarding their children’s immunisation.Methods A qualitative descriptive study was conducted in three counties in Kenya (Murang’a, Kiambu and Machakos) using in-depth interviews and focus group discussions with mothers of children under 5 years. …”
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The Role of Personal Social Networks in Parental Decision-Making for HPV Vaccination: Examining Support and Norms Among Florida Parents by Georges E. Khalil, Carla L. Fisher, Xiaofei Chi, Marta D. Hansen, Gabriela Sanchez, Matthew J. Gurka, Stephanie A. S. Staras

“…<b>Methods</b>: We conducted a cross-sectional survey among 746 parents in Florida as part of the <i>Text & Talk</i> trial (2022–2023). …”
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Patient experience and shared decision-making in HPV-positive oropharyngeal cancer: A systematic review of qualitative and quantitative evidence by Pierluigi Bonomo, Katherine J. Taylor, Maria Chiara Bassi, Valentina Bressan, Luca Ghirotto

“…Three qualitative themes were identified to encapsulate patient experiences, encompassing domains related to receiving and dealing with the diagnosis, decision-making, and perception of the impact of treatments. …”
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Centering Weight Management Clinical Decision Support in Primary Care on Patients With Obesity and Practitioners: A Proof‐Of‐Concept Study by Kimberly A. Gudzune, Jessica L. Schwartz, Kelly Olsson, Erik Almazan, Thomas Grader Beck, Jyotsna Ghosh, Wendy L. Bennett, Jeanne M. Clark

“…PCPs reported significant increases in three key clinical practices—counseling on behavioral interventions (3.1 vs. 3.9 [p < 0.01]), referring to weight‐loss programs (2.8 vs. 3.5 [p < 0.01]), and discussing anti‐obesity medications (3.3 vs. 3.8 [p = 0.02]). …”
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Development of a decision‐support framework to support professionals and promote comfort among older hospital inpatients living with dementia by Nathan Davies, Emily West, Ellen M. Smith, Victoria Vickerstaff, Jill Manthorpe, Malvi Shah, Greta Rait, Jane Wilcock, Jane Ward, Elizabeth L. Sampson

“…We synthesised evidence from these data sources and presented to key stakeholders through codesign meetings and workshops to produce our decision‐support framework. Results The framework consists of a series of flowcharts and operates using a three‐stage process of: (1) assess comfort/discomfort; (2) consider causes of discomfort; and (3) address patient needs to manage the discomfort. …”
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Machine learning with decision curve analysis evaluates nutritional metabolic biomarkers for cardiovascular-kidney-metabolic risk: an NHANES analysis by Jun Huang, Jun Huang, Zhuo Liu, Zhuo Liu, WeiPeng Feng, YuanLing Huang, XinChun Cheng

“…The study developed novel indices (RAR, NPAR, SIRI, Homair) and assessed their CKM predictive value through: Multivariable logistic/Cox regression; Restricted cubic splines; Machine learning (XGBoost, LightGBM); Decision curve analysis. Subgroup analyses were conducted to assess interactive effects on specific populations.ResultsAfter weighted analysis, multi-model logistic regression showed that RAR, SIRI, NPAR, and Homair remained strongly correlated with CKM after adjusting for various factors (p &lt; 0.05), with RAR showing the most pronounced relationship (OR: 2.73, 95% CI: 2.07–3.59, p &lt; 0.001). …”
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Machine learning based clinical decision tool to predict acute kidney injury and survival in therapeutic hypothermia treated neonates by Elif Keles, Syed Yaseen Ali, Pia Wintermark, Pieter Annaert, Floris Groenendaal, Suzan Şahin, Mehmet Yekta Öncel, Didem Armangil, Esin Koc, Malcolm R. Battin, Alistair J. Gunn, Adam Frymoyer, Valerie Chock, Djalila Mekahli, John van den Anker, Anne Smits, Karel Allegaert, Ulas Bagci

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Breastfeeding experiences and infant feeding decisions for women birthing Aboriginal children in Adelaide, South Australia: a qualitative study by Karen Hawke, Anneka Bowman, Casey Cameron, Karen L. Peterson, Philippa Middleton, Cathy Leane, Janiene Deverix, Amanda Collins-Clinch, Alice Rumbold, Karen Glover

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A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization by Songping He, Xiangxi Li, Fangyu Peng, Jiazhi Liao, Xia Lu, Hui Guo, Xin Tan, Yanyan Chen

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Factors Influencing Decision-Making for Poststroke Paretic Upper Limb Treatment: A Survey of Japanese Physical and Occupational Therapists by Koichiro Hirayama, Takashi Takebayashi, Kayoko Takahashi

“…This study revealed that evidence about treatment (very strong: n=171 (27.0%), and strong: n=287 (45.0%)) and patient preferences (very strong: n=203 (31.8%), and strong: n=251 (39.3%)) affected decision-making significantly regarding treatment methods for the poststroke paretic upper limb.…”
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