TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

BMJ, Journal Year: 2024, Volume and Issue: unknown, P. e078378 - e078378

Published: April 16, 2024

The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting recommendations studies developing or evaluating performance model. Methodological advances field have since included widespread use artificial intelligence (AI) powered by machine learning methods develop models. An update is thus needed. TRIPOD+AI provides harmonised guidance studies, irrespective whether regression modelling been used. new checklist supersedes checklist, which should no longer be This article describes development and presents expanded 27 item with more detailed explanation each recommendation, Abstracts checklist. aims promote complete, accurate, transparent that evaluate its performance. Complete will facilitate study appraisal, evaluation, implementation.

Language: Английский

---

An international multidisciplinary consensus on pediatric metabolic dysfunction-associated fatty liver disease

Med, Journal Year: 2024, Volume and Issue: 5(7), P. 797 - 815.e2

Published: April 26, 2024

Language: Английский

---

International Expert-Based Consensus Definition, Classification Criteria, and Minimum Data Elements for Osteoradionecrosis of the Jaw: An Inter-Disciplinary Modified Delphi Study

International Journal of Radiation Oncology*Biology*Physics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

---

Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e56306 - e56306

Published: Feb. 19, 2025

Background The integration of artificial intelligence (AI) into health care has become a crucial element in the digital transformation systems worldwide. Despite potential benefits across diverse medical domains, significant barrier to successful adoption AI applications remains prevailing low user trust these technologies. Crucially, this challenge is exacerbated by lack consensus among experts from different disciplines on definition within sector. Objective We aimed provide first consensus-based analysis based an interdisciplinary panel domains. Our findings can be used address problem defining applications, fostering discussion concrete real-world scenarios which humans interact with explicitly. Methods combination framework and 3-step process involving 18 international fields computer science, medicine, philosophy technology, ethics, social sciences. consisted synchronous phase during expert workshop where we discussed notion defined initial important elements guide our analysis, agreed 5 case studies. This was followed 2-step iterative, asynchronous authors further developed, discussed, refined notions respect specific cases. Results identified key contextual factors trust, namely, system’s environment, actors involved, framing factors, analyzed causes effects care. revealed that certain were applicable all cases yet also pointed need for fine-grained, multidisciplinary bridging human-centered technology-centered approaches. While regulatory boundaries technological design features are critical implementation care, ultimately, communication positive lived experiences will at forefront trust. allowed us formulate recommendations future research applications. Conclusions paper advocates more nuanced conceptual understanding context By synthesizing insights commonalities differences studies, establishes foundational basis debates discussions trusting

Language: Английский

---

Development and validation of the Patient‐Reported Outcome Measure–Older adult care Transitions from the Emergency Department (PROM‐OTED) tool

Academic Emergency Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Care transitions from the emergency department (ED) to community represent a critical period that can significantly impact clinical outcomes of older adults, yet there is lack standardized tools measure patient-reported experiences and during this transition. Our objective was develop validate Patient-Reported Outcome Measure-Older adult care Transitions in ED (PROM-OTED) tool transition within 4-10 days after discharge. Older adults (65+ years) discharged four EDs were enrolled between November 2021 April 2024 multiphase process: qualitative interviews, item generation, member checking, cognitive debriefing, technical expert panel review, psychometric evaluation validation. We employed descriptive statistics, analysis, interitem correlation, factor analyses assess tool's validity reliability. Across all phases, we 290 adults. The final 18-item PROM-OTED included items addressed understanding discharge instructions, medication management, follow-up care, quality life. demonstrated feasibility with mean (±SD) completion time 4.97 (±3.04) min able be administered electronically or via telephone. additionally excellent internal consistency (Cronbach's alpha 0.9376, McDonald's omega 0.9988) good test-retest reliability (r = 0.8437). Exploratory analysis supported robust structure significant correlations Measure-3, general hospital support its concurrent validity. reliable preliminarily valid instrument for use immediate post-ED period, potential applications enhancing practices assessing observational interventional studies.

Language: Английский

---

ACcurate COnsensus Reporting Document (ACCORD) explanation and elaboration: Guidance and examples to support reporting consensus methods

PLoS Medicine, Journal Year: 2024, Volume and Issue: 21(5), P. e1004390 - e1004390

Published: May 6, 2024

When research evidence is limited, inconsistent, or absent, healthcare decisions and policies need to be based on consensus amongst interested stakeholders. In these processes, the knowledge, experience, expertise of health professionals, researchers, policymakers, public are systematically collected synthesised reach agreed clinical recommendations and/or priorities. However, despite influence exercises, methods used achieve agreement often poorly reported. The ACCORD (ACcurate COnsensus Reporting Document) guideline was developed help report any in biomedical research, regardless field, techniques used, application. This explanatory document facilitates use checklist.

Language: Английский

---

Sample size in multistakeholder Delphi surveys: at what minimum sample size do replicability of results stabilize?

Journal of Clinical Epidemiology, Journal Year: 2024, Volume and Issue: 174, P. 111485 - 111485

Published: July 26, 2024

Background and ObjectiveThe minimum sample size for multistakeholder Delphi surveys remains understudied. Drawing from three large international surveys, this study aimed to: 1) investigate the effect of increasing on replicability results; 2) assess whether level results differed with participant characteristics: example, gender, age, profession.MethodsWe used data to develop guidance improved reporting health-care intervention trials: SPIRIT (Standard Protocol Items: Recommendations Interventional Trials) CONSORT (Consolidated Standards Reporting extension surrogate end points (n = 175, 22 items rated); CONSORT-SPI [CONSORT Social Psychological Interventions] 333, 77 core outcome set burn care 553, 88 rated). Resampling replacement was draw random subsamples in each surveys. For subsample, median value all rated survey calculated compared medians full set. The number (and interquartile range) replicated calculate percentage variability). High defined as ≥80% moderate 60% <80%ResultsThe average (variability) a total datasets 81% (10%) at 60. In one (CONSORT-SPI), reached 80. On average, 80 160 increased by further 3% reduced variability 1%. subgroup analysis based characteristics (eg, professional role), using resampled samples 20 100 showed that 30 resulted levels 64% 77%.ConclusionWe found 60–80 participants provides high (≥80%) results. studies limited individual stakeholder groups (such researchers, clinicians, patients), per group may be sufficient.

Language: Английский

---

A Reporting Checklist for Discrete Choice Experiments in Health: The DIRECT Checklist

PharmacoEconomics, Journal Year: 2024, Volume and Issue: 42(10), P. 1161 - 1175

Published: Sept. 3, 2024

Language: Английский

---

Digital Mental Health for Schizophrenia and Other Severe Mental Illnesses: An International Consensus on Current Challenges and Potential Solutions

JMIR Mental Health, Journal Year: 2024, Volume and Issue: 11, P. e57155 - e57155

Published: May 8, 2024

Background Digital approaches may be helpful in augmenting care to address unmet mental health needs, particularly for schizophrenia and severe illness (SMI). Objective An international multidisciplinary group was convened reach a consensus on the challenges potential solutions regarding collecting data, delivering treatment, ethical digital SMI. Methods The development panel method used, with an in-person meeting of 2 groups: expert panel. Membership including those lived experience, equal participation at all stages coproduction outputs summary. Relevant literature shared advance meeting, systematic search recent interventions psychosis completed ensure that informed before group. Results Four broad areas challenge proposed were identified: (1) user involvement real coproduction; (2) new methodology health, agreed standards, data sharing, measuring harms, prevention strategies, mechanistic research; (3) regulation funding issues; (4) implementation real-world settings (including collaboration, training, existing service provision, social population-focused approaches). Examples are provided more detail human-centered research design, experience perspectives, biomedical ethics Conclusions by number recommendations: improved approach (with reporting protocols), emphasis population as well biological psychological approaches, meaningful collaborations across varied disciplines have previously not worked closely together, increased focus business model product planning structures whole pathway, (5) issues (6) organizational changes allow true communication This study approach, combining patient public engagement throughout process, methodology, discussion, publication, is way identify directions future clinical rapidly evolving can combined measurements impact over time. Similar initiatives will other similarly fast-evolving fields change effect implementation.

Language: Английский

---

Blood Clot Consensus Recommendations on Bleeding Management during Cardiac Surgery in Low-Resource Settings using E-Delphi Methodology

Journal of Cardiac Critical Care TSS, Journal Year: 2025, Volume and Issue: 9, P. 9 - 20

Published: Jan. 23, 2025

India conducts around 240,000 adult cardiac surgeries annually, with bleeding and transfusions being common complications that can worsen outcomes. Implementing patient blood management strategies reduce unnecessary improve results. With emerging options point-of-care testing, the need for standardized during surgery in became evident. The Blood Clot (Indian Bleeding Management Cardiac Surgery) Working Group convened 3 times (one in-person, two virtual) to discuss vote on consensus-based recommendation statements derived from a Delphi process. online platform enabled anonymous voting, providing real-time statistical insights discussions. Using accurate consensus reporting document methodology, 26 recommendations were finalized, covering pre-, intra-, post-operative management. included both Thrombelastography (TEG)/Rotational thromboelastometry (ROTEM) non-TEG/ROTEM-based algorithms, along specific guidance managing cyanotic congenital heart disease surgery. These represent first comprehensive, India-specific guidelines surgery, aiming optimize practices potentially set new standard of care. This approach could also influence global similar contexts.

Language: Английский

---