Development and psychometric properties of the nursing ethical decision-making ability scale by Xinyu Chen, Chenxi Wu, Wenting Ji, Dingxi Bai, Huan Chen, Chaoming Hou, Jing Gao

“…Abstract Background Nursing ethical decision-making ability is a core competency of nurses. …”
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Decision-makers’ perspectives on the implementation of COVID-19 self-testing in Mozambique by E. Mavume-Mangunyane, S. Issufo, S. Ndima, E. Valverde, R.R. Peregrino, B. Tasca, C. Penicela, I. Andrade, C. Botão, P.G. Malate, R. Powers, L. Tsope, L. Chimoyi, C. Mulder, I. Spruijt, S. Keller

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Outcomes of Copperhead Snake Envenomation Managed in a Clinical Decision Unit by Mary A. Wittler, Brian Hiestand, Amlak Bantikassegn, David M. Cline, Jennifer L. Hannum

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An intelligible AI-driven decision support system for poststroke mobility assessment by Jin Cheng Liaw, Dominik Raab, Malte Weber, Mario Siebler, Harald Hefter, Dörte Zietz, Marcus Jäger, Andrés Kecskeméthy, Francisco Geu Flores

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REDUCE—A Tool Supporting Inconsistencies Reduction in the Decision-Making Process by Paweł Kuraś, Dominik Strzałka, Bartosz Kowal, Patryk Organiściak, Krzysztof Demidowski, Veronika Vanivska

“…This paper presents REDUCE, a free online tool designed to support decision-making processes by addressing inconsistency in multiplicative pairwise comparison (PC) matrices, a key element of many multi-criteria decision-making (MCDM) methods, including the analytic hierarchy process (AHP). …”
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Ego Depletion, Professional Skepticism, and Decision-making Quality in Forensic Auditors by Hani Shirowzhan, Hossien Fakhari

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Structural equation modeling of collective decision-making's impact on group cohesion by S. Mirbagheri, A. Rafiei Atani, M. Parsanejad, R. Jafari

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FWFA: Fairness-Weighted Federated Aggregation for Privacy-Aware Decision Intelligence by Rahul Haripriya, Nilay Khare, Manish Pandey, Shrijal Patel, Jaytrilok Choudhary, Dhirendra Pratap Singh, Surendra Solanki, Duansh Sharma

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Optimising coronary imaging decisions with machine learning: an external validation study by Floor Groepenhoff, Leonard Hofstra, Sophie Heleen Bots, Saskia Haitjema, Imo Hoefer, L. Malin Overmars, Bram van Es, Mark C. H. De Groot, G. Aernout Somsen, I. Igor Tulevski, Hester M. den Ruijter, Wouter W. van Solinge

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Analysis of epidemiology and nomogram construction for prediction and clinical decision-making in gliomas by Yuxin Zhao, Zihan Xu, Zihan Xu, Zihan Xu, Ying Liu, Ming Ye, Rui Chen, Zhongyu Cao, Hong Zhou, Yang Zhou

“…Exploring the epidemiologic characteristics and prognostic factors of gliomas, and constructs a nomogram-based predictive model can help to evaluate the public health impact, optimize risk stratification, and guide treatment decision-making.MethodsThis cross-sectional epidemiological analysis used the most recently released data from the Surveillance, Epidemiology, and End Results (SEER) database from January 1, 2000, to December 31, 2019. …”
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Biomarkers for neurodegenerative diseases in regulatory decision‐making by the European Medicines Agency by Audrey M. M. Hermans, Elisabeth Bakker, Viktoriia Starokozhko, Loes den Otter, André J. A. Elferink, Angela Bradshaw, Lorenzo Guizzaro, Peter G. M. Mol, Anna M. G. Pasmooij

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Decision regret after reirradiation of the primary site in patients with prostate cancer by Alexander Fabian, Bilgesu Sahin Öztürk, Lars Haack, Severin Rodler, Christof van der Horst, Christian Schulz, Claudia Schmalz, Stefan Huttenlocher, Olaf Wittenstein, Oliver Blanck, Frank-André Siebert, David Krug

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Japanese Patients’ Perceptions of Shared Decision-Making in Renal Replacement Therapy by Yugo Shibagaki, Tadashi Sofue, Hiroo Kawarazaki, Tatsunori Toida, Tomo Suzuki, Hiroki Nishiwaki, Kenichiro Asano, Hiroyuki Terawaki, Takafumi Ito, Hideaki Oka, Kei Nagai, Minoru Murakami, Kojiro Nagai, Daisuke Komukai, Takayuki Adachi, Satoshi Furukata, Takaaki Tsutsui, Kiichiro Fujisaki, Seita Sugitani, Hideaki Shimizu, Tomoya Nishino, Hiroaki Asada, Hideki Shimizu, Tatsuo Tsukamoto, Izaya Nakaya, Yosuke Yamada, Ryohei Inanaga, Shohei Yamada, Shohei Nakanishi, Atsuhiro Maeda, Mari Yamamoto, Shuma Hirashio, Takeshi Okamoto, Takayuki Nakamura, Ken-ichi Miyoshi, Hiroshi Kado, Susumu Toda, Shigeru Shibata, Keiko Nishi, Makoto Yamamoto, Tsukasa Naganuma, Ryo Zamami, Masahide Furusho, Hitoshi Miyasato, Yukihiro Tamura, Yoshihiko Raita, Chisato Fukuhara, Keita Uehara, Kosuke Inoue, Yasuhiro Taki, Nobuyuki Nakano, Noriaki Kurita, Shigeyuki Arai, Tsuyoshi Watanabe, Keita Iwasaki, Yuuki Itou, Fumika Nagase, Kenta Torigoe, Shinichi Abe, Kumiko Muta, Tomomi Endo, Keita Mori, Michiya Shinozaki, Megumi Oikawa, Tsuyoshi Ohshiro, Yoshitaka Ishibashi, Ryo Sugiyama

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Effects of a web-based decision aid on breast cancer patients considering a breast reconstruction: a randomized controlled trial by Yan Wang, Qingyue Zhang, Chang Cheng, Xiaoyuan Wang, Jian Yin, Wanmin Qiang

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The IMproving treatment decisions for Patients with AortiC stenosis Through Shared Decision Making (IMPACT SDM) Study: study protocol for a cluster randomized stepped wedge trial by Karen Sepucha, Sammy Elmariah, K. D. Valentine, Matthew A. Cavender, Yuchiao Chang, Chandan M. Devireddy, Neal W. Dickert, Kristy D. Gama, Christopher E. Knoepke, Ethan Korngold, Dharam J. Kumbhani, Daniel D. Matlock, John C. Messenger, Susan Strong, Vinod H. Thourani, Ashwin Nathan, Nishath Quader, Alexander A. Brescia

“…The IMproving treatment decisions for Patients with AortiC stenosis Through Shared Decision Making (IMPACT SDM) study aims to (1) determine the effectiveness of the interventions (a DA and clinician SDM training) in achieving SDM (primary outcome) and improving the quality of decisions about aortic valve replacement, (2) determine the reach of the DAs and adoption of training, and (3) explore potential mechanisms of effectiveness and implementation at the patient-, clinician-, and clinic-level. …”
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A WeChat-Based Decision Aid Intervention to Promote Informed Decision-Making for Family Members Regarding the Genetic Testing of Patients With Colorectal Cancer: Randomized Control... by Huanhuan Li, Yanjie Zhao, Wei Li, Wenxia Wang, Shengze Zhi, Yifan Wu, Qiqing Zhong, Rui Wang, Jiao Sun

“…ResultsStatistically significant improvements were observed in knowledge (T1: β=2.049, P<.001; T2: β=3.317, P<.001), decisional conflict (T1: β=–11.660, P<.001; T2: β=–17.587, P<.001), and decision self-efficacy (T1: β=15.353, P<.001; T2: β=22.337, P<.001) in the DA group compared with the usual care group at both T1 and T2. …”
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Measures of healthcare decision-making ability in cognitive aging: a scoping review from the Advancing Reliable Measurement in Cognitive Aging and Decision-Making Ability (ARMCADA)... by Molly A. Mather, Molly A. Mather, Berivan Ece, Tatiana Karpouzian-Rogers, Emily H. Ho, Patricia Bucko, Elizabeth M. Dworak, Miriam A. Novack, Sarah Pila, Zahra Hosseinian, Janel Hanmer, Richard C. Gershon, Sandra Weintraub, Sandra Weintraub

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Analysis of Factors Influencing Millennial Consumers' Decision in Buying Halal Cosmetics by Novalini Jailani, Susminingsih, Hendri Hermawan Adinugraha, Fatimah Kari, Adib Muhammad

“…Data collection techniques use online questionnaires in the form of Google forms that are disseminated through social media, such as Instagram and Whatsapp. The data analysis method used is SEM-PLS by using SmartPLS 3.2.9 software. …”
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The Risks to Investment Decisions: Can Financial Knowledge and Investor’s Experience be Moderate? by Hirdinis M.

“…Data analysis in this research uses an alternative method of structural equation modeling (SEM), namely Smart-PLS 3. …”
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Decision Support System for Evaluation of Peatland Agroecology Suitability in Pineapple Plants by Fiqhri Mulianda Putra

“…This study aims to create a fuzzy inference system model with Mamdani method in determining the agroecological suitability of peatlands for pineapple plants, this is due to the target class of land suitability parameters based on FAO provisions, namely S1, S2, S3, and N. …”
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