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Keywords Uncertainty in clinical decisi...

Uncertainty in clinical decision making

https://read.qxmd.com/read/38537649/advance-care-planning-in-the-context-of-dementia-defining-concordance
#21
JOURNAL ARTICLE
Jordana L Clayton, Katherine P Supiano, Nancy Aruscavage, Sara Bybee, Rebecca L Utz, Eli Iacob, Kara B Dassel
BACKGROUND AND OBJECTIVES: Individuals with dementia may require a surrogate decision-maker as their disease progresses. To prepare for this potential role, dementia care partners need to develop a thorough understanding of their care recipient's end-of-life values and preferences, or care dyad ACP concordance. As part of our pilot study implementing the LEAD intervention with dementia care dyads, we conducted a multi-method investigation to define care dyad ACP concordance. RESEARCH DESIGN AND METHODS: We conducted a scoping review of peer-reviewed studies published after 1991 in English focusing on care dyad ACP concordance in dementia care and included 34 articles...
March 27, 2024: Gerontologist
https://read.qxmd.com/read/38532728/nurses-anxiety-mediates-the-relationship-between-clinical-tolerance-to-uncertainty-and-antibiotic-initiation-decisions-in-residential-aged-care-facilities
#22
JOURNAL ARTICLE
Saniya Singh, Chris Degeling, Peta Drury, Amy Montgomery, Peter Caputi, Frank P Deane
The impact of non-clinical factors (e.g., resident and family preferences) on prescribing is well-established. There is a gap in the literature regarding the mechanisms through which these preferences are experienced as pressure by prescribers within the unique context of residential aged-care facilities (RACFs).A significant relationship was found between nurses' anxiety, clinical tolerance of uncertainty, and the perceived need for antibiotics and assessment.As such, there is a need to expand stewardship beyond education alone to include interventions that help nurses manage uncertainty and anxiety and include other stakeholders (e...
March 27, 2024: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/38526526/safety-in-teletriage-by-nurses-and-physicians-in-the-united-states-and-israel-narrative-review-and-qualitative-study
#23
JOURNAL ARTICLE
Motti Haimi, Sheila Quilter Wheeler
BACKGROUND: The safety of telemedicine in general and telephone triage (teletriage) safety in particular have been a focus of concern since the 1970s. Today, telehealth, now subsuming teletriage, has a basic structure and process intended to promote safety. However, inadequate telehealth systems may also compromise patient safety. The COVID-19 pandemic accelerated rapid but uneven telehealth growth, both technologically and professionally. Within 5-10 years, the field will likely be more technologically advanced; however, these advances may still outpace professional standards...
March 25, 2024: JMIR Human Factors
https://read.qxmd.com/read/38520497/-we-want-to-change-the-system-a-qualitative-study-on-emergency-medicine-physician-leadership
#24
JOURNAL ARTICLE
J Stempien, M Gibson, A Harrison
OBJECTIVE: The significance of physician leadership to help transform the healthcare system has been increasingly discussed. This study looked at the qualities of emergency medicine (EM) physicians that support or inhibit their work as healthcare leaders. METHODS: Through an iterative process of semi-structured interviews and then focus groups, we examined why EM physicians pursue leadership roles, the strengths they bring and the frustrations they encounter. Thematic analysis identified factors that facilitate and inhibit the work of EM physicians as they enter leadership roles...
March 23, 2024: CJEM
https://read.qxmd.com/read/38519263/assessing-clinical-response-in-early-oncology-development-with-a-predictive-biomarker
#25
JOURNAL ARTICLE
Shibing Deng, Feng Liu, Jadwiga Bienkowska
In early oncology clinical trials there is often limited data for biomarkers and their association with response to treatment. Thus, it is challenging to decide whether a biomarker should be used for patient selection and enrollment. Most evidence about any potential predictive biomarker comes from preclinical research and, sometimes, clinical observations. How to translate the preclinical predictive biomarker data to clinical study remains an active field of research. Here, we propose a method to incorporate existing knowledge about a predictive biomarker - its prevalence, association with response and the performance of the assay used to measure the biomarker - to estimate the response rate in a clinical study designed with or without using the predictive biomarker...
March 22, 2024: Journal of Biopharmaceutical Statistics
https://read.qxmd.com/read/38519106/do-not-attempt-cardiopulmonary-resuscitation-decision-making-process-scoping-review
#26
JOURNAL ARTICLE
Owen Doody, Hope Davidson, John Lombard
OBJECTIVES: To conduct a scoping review to explore the evidence of the process of do not attempt cardiopulmonary resuscitation (DNACPR) decision-making. METHODS: We conducted a systematic search and review of articles from 1 January 2013 to 6 April 2023 within eight databases. Through multi-disciplinary discussions and content analytical techniques, data were mapped onto a conceptual framework to report the data. RESULTS: Search results (n=66 207) were screened by paired reviewers and 58 papers were included in the review...
March 22, 2024: BMJ Supportive & Palliative Care
https://read.qxmd.com/read/38517479/decision-making-engagement-preferences-among-older-adults-with-ckd
#27
JOURNAL ARTICLE
Kristina M Gonzales, Susan Koch-Weser, Kristen Kennefick, Mary Lynch, Thalia Porteny, Hocine Tighiouart, John B Wong, Tamara Isakova, Dena E Rifkin, Elisa J Gordon, Ana Rossi, Daniel E Weiner, Keren Ladin
BACKGROUND: Older adults with kidney failure face preference-sensitive decisions regarding dialysis initiation. Despite recommendations, few older patients with kidney failure experience shared decision-making. Clinician uncertainty about the degree to which older patients prefer to engage in decision-making remains a key barrier. METHODS: Mixed-methods explanatory, longitudinal, sequential design at 4 diverse U.S. centers with patients (English-fluent, aged ≥70 years, CKD stages 4-5, nondialysis) from 2018 to 2020...
March 22, 2024: Journal of the American Society of Nephrology: JASN
https://read.qxmd.com/read/38515987/patient-listening-on-social-media-for-patient-focused-drug-development-a-synthesis-of-considerations-from-patients-industry-and-regulators
#28
JOURNAL ARTICLE
Philipp Cimiano, Ben Collins, Maria Carmela De Vuono, Thierry Escudier, Jürgen Gottowik, Matthias Hartung, Mathias Leddin, Bikalpa Neupane, Raul Rodriguez-Esteban, Ana Lucia Schmidt, Cornelius Starke-Knäusel, Maarten Voorhaar, Krzysztof Wieckowski
Patients, life science industry and regulatory authorities are united in their goal to reduce the disease burden of patients by closing remaining unmet needs. Patients have, however, not always been systematically and consistently involved in the drug development process. Recognizing this gap, regulatory bodies worldwide have initiated patient-focused drug development (PFDD) initiatives to foster a more systematic involvement of patients in the drug development process and to ensure that outcomes measured in clinical trials are truly relevant to patients and represent significant improvements to their quality of life...
2024: Frontiers in Medicine
https://read.qxmd.com/read/38498038/development-and-validation-of-an-interpretable-conformal-predictor-to-predict-sepsis-mortality-risk-retrospective-cohort-study
#29
MULTICENTER STUDY
Meicheng Yang, Hui Chen, Wenhan Hu, Massimo Mischi, Caifeng Shan, Jianqing Li, Xi Long, Chengyu Liu
BACKGROUND: Early and reliable identification of patients with sepsis who are at high risk of mortality is important to improve clinical outcomes. However, 3 major barriers to artificial intelligence (AI) models, including the lack of interpretability, the difficulty in generalizability, and the risk of automation bias, hinder the widespread adoption of AI models for use in clinical practice. OBJECTIVE: This study aimed to develop and validate (internally and externally) a conformal predictor of sepsis mortality risk in patients who are critically ill, leveraging AI-assisted prediction modeling...
March 18, 2024: Journal of Medical Internet Research
https://read.qxmd.com/read/38491265/antithrombotic-strategies-for-preventing-graft-failure-in-coronary-artery-bypass-graft
#30
REVIEW
Maria Sara Mauro, Simone Finocchiaro, Dario Calderone, Carla Rochira, Federica Agnello, Lorenzo Scalia, Davide Capodanno
Coronary artery bypass graft (CABG) procedures face challenges related to graft failure, driven by factors such as acute thrombosis, neointimal hyperplasia, and atherosclerotic plaque formation. Despite extensive efforts over four decades, the optimal antithrombotic strategy to prevent graft occlusion while minimizing bleeding risks remains uncertain, relying heavily on expert opinions rather than definitive guidelines. To address this uncertainty, we conducted a review of randomized clinical trials and meta-analyses of antithrombotic therapy for patients with CABG...
March 16, 2024: Journal of Thrombosis and Thrombolysis
https://read.qxmd.com/read/38489473/reliability-validity-and-acceptability-of-an-online-clinical-reasoning-simulator-for-medical-students-an-international-pilot
#31
JOURNAL ARTICLE
Eduardo Hornos, Eduardo Pleguezuelos, Laksha Bala, Carlos Fernando Collares, Adrian Freeman, Cees van der Vleuten, Kevin G Murphy, Amir H Sam
INTRODUCTION: Clinical reasoning skills are essential for decision-making. Current assessment methods are limited when testing clinical reasoning and management of uncertainty. This study evaluates the reliability, validity and acceptability of Practicum Script, an online simulation-based programme, for developing medical students' clinical reasoning skills using real-life cases. METHODS: In 2020, we conducted an international, multicentre pilot study using 20 clinical cases with 2457 final-year medical students from 21 schools worldwide...
March 15, 2024: Medical Teacher
https://read.qxmd.com/read/38486447/car-t-cell-therapy-for-diffuse-large-b-cell-lymphoma-in-canada-a-cost-utility-analysis
#32
JOURNAL ARTICLE
Lisa Masucci, Feng Tian, Stephen Tully, Zeny Feng, Tom McFarlane, Kelvin K W Chan, William W L Wong
BACKGROUND: Chimeric antigen receptor (CAR) T-cell therapy is a novel cell therapy for treating non-Hodgkin lymphoma. The development of CAR T-cell therapy has transformed oncology treatment by offering a potential cure. However, due to the high cost of these therapies, and the large number of eligible patients, decision makers are faced with difficult funding decisions. Our objective was to assess the cost-effectiveness of tisagenlecleucel for adults with relapsed/refractory diffuse large B-cell lymphoma in Canada using updated survival data from the recent JULIET trial...
March 14, 2024: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/38486175/survint-a-simple-tool-to-obtain-precise-parametric-survival-extrapolations
#33
JOURNAL ARTICLE
Daniel Gallacher
BACKGROUND: Economic evaluation of emerging health technologies is mandated by agencies such as the National Institute for Health and Care Excellence (NICE) to ensure their cost is proportional to their benefit. To avoid bias, NICE stipulate that the benefit of a treatment is assessed across the lifetime of the patient population, which can be many decades. Unfortunately, follow-up from a clinical trial will not usually cover the required period and the observed follow-up will require extrapolation...
March 14, 2024: BMC Medical Informatics and Decision Making
https://read.qxmd.com/read/38477424/individuals-experiences-in-genetic-counseling-and-predictive-testing-for-familial-amyotrophic-lateral-sclerosis
#34
JOURNAL ARTICLE
Connolly G Steigerwald, Carina Bertolini, Martin McElhiney, Amanda L Bergner, Matthew B Harms, Elizabeth A Harrington
As clinical genetic testing in the amyotrophic lateral sclerosis (ALS) diagnostic setting increases, the identification of at-risk family members has also expanded. No practice guidelines specifically for predictive genetic testing exist, and few studies about the psychological impacts of testing in this subgroup have occurred, limiting the ability to tailor recommendations and counseling in this community. We surveyed asymptomatic individuals at risk for inheriting an ALS-associated gene mutation. The 80-question survey was designed using a combination of validated measures (General Anxiety Disorder; FACToR; Decision Regret Scale) and original items...
March 13, 2024: Journal of Genetic Counseling
https://read.qxmd.com/read/38476873/expert-consensus-on-ion-channel-drugs-for-chronic-pain-treatment-in-china
#35
REVIEW
Ke Ma, Zhixiang Cheng, Hao Jiang, Zhangya Lin, Chuansheng Liu, Xianguo Liu, Lijuan Lu, Yan Lu, Wei Tao, Suoliang Wang, Xiaoqiu Yang, Qishan Yi, Xiaomei Zhang, Ying Zhang, Yanqing Liu
Ion channel drugs have been increasing used for chronic pain management with progress in the development of selective calcium channel modulators. Although ion channel drugs have been proven safe and effective in clinical practice, uncertainty remains regarding its use to treat chronic pain. To standardize the clinical practice of ion channel drug for the treatment of chronic pain, the National Health Commission Capacity Building and Continuing Education Center for Pain Diagnosis and Treatment Special Ability Training Project established an expert group to form an expert consensus on the use of ion channel drugs for the treatment of chronic pain after repeated discussions on existing medical evidence combined with the well clinical experience of experts...
2024: Journal of Pain Research
https://read.qxmd.com/read/38473004/using-computational-simulations-based-on-fuzzy-cognitive-maps-to-detect-dengue-complications
#36
JOURNAL ARTICLE
William Hoyos, Kenia Hoyos, Rander Ruíz
Dengue remains a globally prevalent and potentially fatal disease, affecting millions of people worldwide each year. Early and accurate detection of dengue complications is crucial to improving clinical outcomes and reducing the burden on healthcare systems. In this study, we explore the use of computational simulations based on fuzzy cognitive maps (FCMs) to improve the detection of dengue complications. We propose an innovative approach that integrates clinical data into a computational model that mimics the decision-making process of a medical expert...
March 2, 2024: Diagnostics
https://read.qxmd.com/read/38470621/degree-of-uncertainty-in-reporting-imaging-findings-for-necrotizing-enterocolitis-a-secondary-analysis-from-a-pilot-randomized-diagnostic-trial
#37
JOURNAL ARTICLE
Alain Cuna, Disa Rathore, Kira Bourret, Erin Opfer, Sherwin Chan
Diagnosis of necrotizing enterocolitis (NEC) relies heavily on imaging, but uncertainty in the language used in imaging reports can result in ambiguity, miscommunication, and potential diagnostic errors. To determine the degree of uncertainty in reporting imaging findings for NEC, we conducted a secondary analysis of the data from a previously completed pilot diagnostic randomized controlled trial (2019-2020). The study population comprised sixteen preterm infants with suspected NEC randomized to abdominal radiographs (AXRs) or AXR + bowel ultrasound (BUS)...
February 21, 2024: Healthcare (Basel, Switzerland)
https://read.qxmd.com/read/38469404/the-combination-use-of-inclisiran-and-statins-versus-statins-alone-in-the-treatment-of-dyslipidemia-in-mainland-china-a-cost-effectiveness-analysis
#38
JOURNAL ARTICLE
Wenjing Zhou, Zhuoru Liang, Xiaohuan Lou, Nansong Wang, Xinyu Liu, Ruoxi Li, Pearl Pai
Objective: Statin is well-established as a classical lipid-lowering drug, and its cost has reduced considerably in the past years. Inclisiran is a new and effective lipid-lowering drug given as a subcutaneous injection at 6-month intervals. This study aims to evaluate the cost-effectiveness of the combination use of inclisiran and statin versus statin alone for dyslipidemia in the mainland China population. Methods: The Markov decision-making model was used, and the clinical data and real-world data were collected at the University of Hong Kong-Shenzhen Hospital (HKU-SZH)...
2024: Frontiers in Pharmacology
https://read.qxmd.com/read/38468076/exercising-medical-judgement-resuscitation-and-decision-making-for-end-of-life%C3%A2-care-a-new-policy-from-the-college-of-physician-and-surgeons-of-ontario
#39
JOURNAL ARTICLE
Henry Ajzenberg, Eoin Connolly, Kathryn Morrison, Simon Oczkowski
In March 2023, the College of Physicians and Surgeons of Ontario (CPSO) updated their policy entitled Decision-Making for End-of-Life Care. This policy will significantly change the landscape and clinical practice in Canada's most populous province with respect to decision-making for resuscitation. The update interrupts approximately eight years of CPSO policy that has mandated physicians to perform cardiopulmonary resuscitation (CPR) and other resuscitative measures unless they can explicitly obtain consent in the form of a do-not-resuscitate or no-CPR order...
March 11, 2024: Canadian Journal of Anaesthesia
https://read.qxmd.com/read/38466983/machine-learning-model-for-readmission-prediction-of-patients-with-heart-failure-based-on-electronic-health-records-protocol-for-a-quasi-experimental-study-for-impact-assessment
#40
JOURNAL ARTICLE
Monika Nair, Lina E Lundgren, Amira Soliman, Petra Dryselius, Ebba Fogelberg, Marcus Petersson, Omar Hamed, Miltiadis Triantafyllou, Jens Nygren
BACKGROUND: Care for patients with heart failure (HF) causes a substantial load on health care systems where a prominent challenge is the elevated rate of readmissions within 30 days following initial discharge. Clinical professionals face high levels of uncertainty and subjectivity in the decision-making process on the optimal timing of discharge. Unwanted hospital stays generate costs and cause stress to patients and potentially have an impact on care outcomes. Recent studies have aimed to mitigate the uncertainty by developing and testing risk assessment tools and predictive models to identify patients at risk of readmission, often using novel methods such as machine learning (ML)...
March 11, 2024: JMIR Research Protocols
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