AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study by Tai-Han Lin, Hsing-Yi Chung, Ming-Jr Jian, Chih-Kai Chang, Hung-Hsin Lin, Chiung-Tzu Yen, Sheng-Hui Tang, Pin-Ching Pan, Cherng-Lih Perng, Feng-Yee Chang, Chien-Wen Chen, Hung-Sheng Shang

“…The primary objective was to implement this model within an artificial intelligence–clinical decision support system (AI-CDSS) to enhance early sepsis detection and management in critical care settings. …”
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MOMENT registry: Patients with advanced non-small-cell lung cancer harboring MET exon 14 skipping treated with systemic therapy by Michael Thomas, Petros Christopoulos, Wade T Iams, Julien Mazieres, Alexis B Cortot, Nir Peled, Gabriele Minuti, Egbert F Smit, Francois Audhuy, Karin Berghoff, S Peter Eggleton, Frank Fries, Maike Hildenbrand, Peter Liu, Seyed Hamidreza Mahmoudpour, Christoph Menzel, Dina Oksen

“…Given the rarity of this population and limitations of existing real-world data sources, the MOMENT registry aims to prospectively collect uniform, comprehensive, high-quality data from patients with METex14 skipping advanced NSCLC treated in routine clinical practice, which can support clinical and regulatory decision making. …”

COVID-19 Pandemic in Brunei Darussalam by Wei Shan Ang, Jodi Woan-Fei Law, Vengadesh Letchumanan, Yong Sze Ong, Yatinesh Kumari, Long Chiau Ming, Loh Teng-Hern Tan

“…The adoption of the “whole of nation approach” has proven to be effective in managing the outbreak. Early and decisive interventions taken by authorities and the public’s cooperation have been a remarkable success story. …”
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Patient preferences for facility-based management of hypertension and diabetes in rural Uganda: a discrete choice experiment by Robert Kalyesubula, Isaac Ssinabulya, Rachel Nugent, Christine Ngaruiya, Nicola L Hawley, Dallas Wood, Baylah Tessier-Sherman, Deron Galusha, Mari Armstrong-Hough, Sarah EG Moor, Andrew K Tusubira, Ann R Akiteng, Evelyn Hsieh Donroe, Tracy L Rabin, Brenda D Nakirya, Christine Nalwadda, Jeremy I Schwartz

“…Objective To explore how respondents with common chronic conditions—hypertension (HTN) and diabetes mellitus (DM)—make healthcare-seeking decisions.Setting Three health facilities in Nakaseke District, Uganda.Design Discrete choice experiment (DCE).Participants 496 adults with HTN and/or DM.Main outcome measures Willingness to pay for changes in DCE attributes: getting to the facility, interactions with healthcare providers, availability of medicines for condition, patient peer-support groups; and education at the facility.Results Respondents were willing to pay more to attend facilities that offer peer-support groups, friendly healthcare providers with low staff turnover and greater availabilities of medicines. …”
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Canadian Occupational Performance Measure: Benefits and Limitations Highlighted Using the Delphi Method and Principal Component Analysis by Jean-Michel Caire, Sabrina Maurel-Techene, Thierry Letellier, Margit Heiske, Sarah Warren, Arnaud Schabaille, Florent Destruhaut

“…The COPM was clearly identified as a tool that supports occupational therapy clinical reasoning, facilitates team decision-making for care pathways, and enables people with disabilities and health conditions to make decisions for their care. …”
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Institutional innovation for accountability: The National Anti-Corruption System in Mexic by Alejandro Monsivais-Carrillo

“…Nonetheless, this article posits that for these reforms to be effective the rigorous and sustained support of decisive actors is needed. Otherwise, no matter how progressive or innovative these reforms may seem on paper, institutional innovations could become ineffectual or cancelled de facto. …”
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Addressing Shortcomings in Contingency Standards of Care by Alexander Quan

“…Baker-Polito Administration Provides COVID-19 Update on Mask Advisory, Hospital Support | Mass.gov. https://www.mass.gov/news/baker-polito-administration-provides-covid-19-update-on-mask-advisory-hospital-support [13] The Lancet Rheumatology. (2021). …”
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Perceptions of cervical screening uptake amongst South Asian women in Ontario, Canada: a concept mapping study by Kimberly Devotta, Aisha Lofters, Jacqueline Bender, Patricia O’Campo

“…To address underscreening we need to design multi-level interventions that address the identified ideas and the interrelationships among them.…”
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D-dimer as a predictor of severity and outcome in acute pancreatitis by Joseph A, Harikrishnan CP, Oommen AN, Nair A

“…In addition to severity prediction, the study examined the association between D-dimer levels and the need for supportive interventions. These findings suggest that D-dimer is a valuable biomarker for early risk stratification and could aid in guiding therapeutic decisions in the management of acute pancreatitis. …”
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Practice patterns on the management of secondary hyperparathyroidism in the United States: Results from a modified Delphi panel. by David E Henner, Beatrice Drambarean, Teresa M Gerbeling, Jessica B Kendrick, William T Kendrick, Lisa Koester-Wiedemann, Thomas L Nickolas, Anjay Rastogi, Anis A Rauf, Brenda Dyson, Michael C Singer, Pooja Desai, Kathleen M Fox, Sunfa Cheng, William Goodman

“…Despite evidence-based treatment preferences supported by clinical experience, factors other than scientific evidence influence decision making, particularly with medications.…”
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The Effect of Task Cognitive Difficulty on Perceptual-Cognitive Indicators: Evidence on the Relationship Between Challenge Point Framework (CPF) and Cognitive Development in Table... by Taghi MM, Aghdaei M, Farsi A, Badicu G, de Sousa Fernandes MS, Yagin FH, Ardigò LP

“…But there was no significant difference between the groups.Discussion: These findings suggest that cognitive task difficulty, much like functional difficulty, aligns with predictions from the CPF, enhancing executive control and cognitive effort, and thereby supporting motor learning.Conclusion: Cognitive difficulty, like functional difficulty, takes advantage of the challenge point framework and improves cognitive–cognitive indicators.Keywords: task difficulty, attention networks, cognitive effort, challenge point, table tennis…”
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Qualitative application of the diffusion of innovation theory to maternity waiting homes in rural Zambia by Jeanette L. Kaiser, Rachel M. Fiorillo, Taryn Vian, Thandiwe Ngoma, Kayla J. Kuhfeldt, Michelle L. Munro-Kramer, Davidson H. Hamer, Misheck Bwalya, Viviane R. Sakanga, Jody R. Lori, Eden Ahmed Mdluli, Peter C. Rockers, Godfrey Biemba, Nancy A. Scott

“…To facilitate equitable adoption of MWHs among the most vulnerable women, planners should explore how to support women during their delivery preparations and MWH stays, particularly regarding food security and lack of social support for childcare. …”
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Developing a rapid screening tool for high-risk ICU patients of sepsis: integrating electronic medical records with machine learning methods for mortality prediction in hospitalize... by Songchang Shi, Lihui Zhang, Shujuan Zhang, Jinyang Shi, Donghuang Hong, Siqi Wu, Xiaobin Pan, Wei Lin

“…Conclusions The application of machine learning-based prediction models for sepsis could significantly improve patient outcomes through early detection and timely intervention in the critical first 24 h of ICU admission, supporting clinical decision-making.…”
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Preoperative dental assessment for the reduction of periprosthetic joint infections in patients undergoing total joint replacement: a systematic review and meta-analysis by Zbigniew Putowski, Magdalena Miłobędzka, Michał Kisiołek, Wojciech Szczeklik, Roman Jaeschke, Piotr Puc, Katarzyna Szczeklik

“…There is insufficient evidence to support performing this intervention routinely. The health care systems and individual organisations will likely need to make decisions on continuation of such programmes on the basis of this limited amount of information.…”
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Validation of the shortest version of the eating attitude test (EAT-7) as a screening tool for disordered eating in patients with first-episode schizophrenia by Feten Fekih-Romdhane, Youssef Boukadida, Majda Cheour, Souheil Hallit

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Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“…ConclusionsThis study provides an overview of the multifaceted considerations essential for the application of immunotherapy as a therapeutic intervention. The topics and themes identified can serve as supporting information to facilitate physician-patient communication and the decision-making process. …”
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Association of Light’s Criteria with Pleural Fluid Procalcitonin Levels and Ultrasound Thorax with its Impact on the Management of Pleural Effusion: A Cross-sectional Study by BK Likhitha, Keertivardhan D Kulkarni, Madhav Mahawar

“…Conclusion: In conclusion, USG findings such as complex septate and thickened pleura are highly supportive of exudative effusions in the present study, while the anechoic appearance is indicative of transudative effusions. …”
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Prediction accuracy of discrete choice experiments in health-related research: a systematic review and meta-analysisResearch in context by Ying Zhang, Thi Quynh Anh Ho, Fern Terris-Prestholt, Matthew Quaife, Esther de Bekker-Grob, Peter Vickerman, Jason J. Ong

“…YZ is supported by an Australian Government Research Training Program (RTP) scholarship.…”
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Enhancing Semi-Supervised Learning With Concept Drift Detection and Self-Training: A Study on Classifier Diversity and Performance by Jose L. M. Perez, Roberto S. M. Barros, Silas G. T. C. Santos

“…Machine learning algorithms that assist in decision-making are becoming crucial in several areas, such as healthcare, finance, marketing, etc. …”
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Development and effectiveness evaluation of an interactive e-learning environment to enhance digital health literacy in cancer patients: study protocol for a randomized controlled... by Lukas Lange-Drenth, Hellena Willemer, Mirjam Banse, Anke Ernst, Anne Daubmann, Anja Holz, Christiane Bleich, Susanne Weg-Remers, Holger Schulz

“…However, the quality of online information varies widely and is often inaccurate or does not provide all the details patients need to make informed decisions. Additionally, patients’ often limited ability to find and evaluate cancer-related online information can lead to misinformation.ObjectiveAn interactive e-learning environment to promote digital health literacy will be developed and evaluated for effectiveness.Primary hypothesisCancer patients who use the e-learning environment (IG1.1–IG1.3) or the content of the environment as a non-interactive PDF file (IG2) will show greater improvement in their digital health literacy from baseline to 8 weeks after baseline compared to patients who receive no such intervention, but are referred to a standard information brochure.MethodsThe hypothesis will be tested in a stratified randomized controlled superiority trial with five parallel groups and the primary endpoint of digital health literacy. …”
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