Key Laboratory of Pulp and Paper Science & Technology of Ministry of Education, State Key Laboratory of Biobased Material and Green Papermaking, Faculty of Light Industry, Qi Lu University of Technology (Shandong Academy of Sciences), Jinan 250353, PR China.
Key Laboratory of Pulp and Paper Science & Technology of Ministry of Education, State Key Laboratory of Biobased Material and Green Papermaking, Faculty of Light Industry, Qi Lu University of Technology (Shandong Academy of Sciences), Jinan 250353, PR China.
Key Laboratory of Pulp and Paper Science & Technology of Ministry of Education, State Key Laboratory of Biobased Material and Green Papermaking, Faculty of Light Industry, Qi Lu University of Technology (Shandong Academy of Sciences), Jinan 250353, PR China.
Key Laboratory of Pulp and Paper Science & Technology of Ministry of Education, State Key Laboratory of Biobased Material and Green Papermaking, Faculty of Light Industry, Qi Lu University of Technology (Shandong Academy of Sciences), Jinan 250353, PR China.
Key Laboratory of Pulp and Paper Science & Technology of Ministry of Education, State Key Laboratory of Biobased Material and Green Papermaking, Faculty of Light Industry, Qi Lu University of Technology (Shandong Academy of Sciences), Jinan 250353, PR China. Electronic address: wjy@qlu.edu.cn.
Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University, Nanning, Guangxi, China.
Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University, Nanning, Guangxi, China.
Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University, Nanning, Guangxi, China.
Artificial intelligence (AI) has long been recognised as a challenge to responsibility. Much of this discourse has been framed around robots, such as autonomous weapons or self-driving cars, where we ...
Multicriteria decision analysis (MCDA) is increasingly used for decision making in healthcare. However, its application in different decision-making contexts is still unclear. This study aimed to prov...
We updated a systematic review conducted in 2013 by searching Embase, MEDLINE, and Google Scholar for MCDA studies in healthcare, published in English between August 2013 and November 2020. We also ex...
From the 4295 identified studies, 473 studies were eligible for full-text review after assessing titles and abstracts. Of those, 228 studies met the inclusion criteria and underwent data extraction. T...
A guide on how to conduct and report MCDA that acknowledges the particularities of the different decision contexts and methods needs to be developed....
To identify and appraise the quality of COVID-19 patient decision aids (PtDAs)....
We conducted an environmental scan of online publicly available COVID-19 PtDAs. Two reviewers independently searched and extracted data. We calculated median International Patient Decision Aid Standar...
Of 876 resources identified, 12 were PtDAs. Decisions focused on initial COVID-19 vaccination series (n = 9), location of care for elderly (n = 2), and social distancing (n = 1). All 12 PtDAs were wri...
We identified few online publicly available COVID-19 PtDAs and none were about COVID-19 vaccination boosters or treatment. PtDAs scored poorly on actionability and none met all IPDAS criteria for mini...
PtDA developers for COVID-19 and future pandemics should ensure their PtDAs meet all IPDAS criteria for minimizing risk of bias, have adequate scores for actionability, and are disseminated in the A t...
When high-grade gliomas recur, patients, their families, and clinicians face difficult medical decisions. There is no curable treatment, and the treatment options all come with a risk of complications...
To systematically review randomized controlled trials and clinical controlled trials evaluating the effectiveness of Decision Aids (DAs) compared to usual care or alternative interventions for older p...
A systematic search of several databases was conducted. Eligible studies included patients ≥ 65 years or reported a mean of ≥ 70 years. Primary outcomes were attributes of the choice made and decision...
Overall, 15 studies were included. Using DAs were effective in increasing knowledge (SMD 0.90; 95% CI [0.48, 1.32]), decreasing decisional conflict (SMD -0.15; 95% CI [-0.29, -0.01]), improving patien...
This review shows a number of favourable results for the effectiveness of DAs in decision making with older patients....
Current DAs can be used to support shared decision making with older patients when faced with treatment, screening or care decisions....
The area of military operations is a big challenge for medical support. A particularly important factor that allows medical services to react quickly in the case of mass casualties is the ability to r...
Couples at risk of transmitting a genetic disease to their offspring may experience doubts about their reproductive options. This study examines the effects of an online decision aid (DA) on the (join...
This review aimed to synthesize knowledge about multi-criteria decision analysis methods for supporting rehabilitation service design and delivery decisions, including: (1) describing the use of these...
We conducted a rapid review in collaboration with a knowledge partner, searching four databases for peer-reviewed articles reporting primary research. We extracted relevant data from included studies ...
We identified 717 records, of which 54 met inclusion criteria. Multi-criteria decision analysis methods were primarily used to understand the strength of clients' and clinicians' preferences (...
Multi-criteria decision analysis methods are promising for better understanding client and family preferences and priorities across rehabilitation professions, contexts, and caseloads. Further work is...
Timely and appropriate discharge placement for patients who have undergone radical cystectomy (RC) remains challenging. Our objective was to improve the discharge planning process by creating a machin...
Patients undergoing elective radical cystectomy for bladder cancer from 2014-2019 were identified in the ACS-NSQIP database. A gradient boosted decision tree was trained on selected predischarge varia...
A total of 11,881 patients met inclusion criteria with a mean age of 68.6 years. 10.6% of patients undergoing RC had non-home discharges. Our model predicting non-home discharge achieved an area under...
Medical decisions parents make on their children's behalf can be challenging. Free online decision support tools are created to help parents faced with these decisions....
We used an environmental scan to identify free, online tools that support parents in making decisions about their children's chronic health condition. We described the tools and assessed their potenti...
Decision aid repositories, Google searches, and key informants identified decision support tools. Eligible tools were freely available online and for parents of children with chronic health conditions...
Two reviewers independently assessed the tools' quality based on the International Patient Decision Aid Standards (IPDAS). Tool readability was assessed using the Flesch Reading Ease test....
From 21 free, online decision support tools, 14 (67%) provided sufficient detail for making a specific decision (IPDAS qualifying criteria). None sufficiently met IPDAS certification criteria necessar...
Google searches and key informant sources are not replicable....
Free, online decision support tools for parents of children with chronic health conditions are of variable quality, most are difficult to read, and there is limited evidence their use achieves intende...
Registered with Open Science Framework 20 July 2021(AEST) osf.io/b94yj....
