Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

B Vasey, M Nagendran, B Campbell, DA Clifton… - bmj, 2022 - bmj.com
A growing number of artificial intelligence (AI)-based clinical decision support systems are
showing promising performance in preclinical, in silico, evaluation, but few have yet …

Implementability of healthcare interventions: an overview of reviews and development of a conceptual framework

M Klaic, S Kapp, P Hudson, W Chapman… - Implementation …, 2022 - Springer
Background Implementation research may play an important role in reducing research
waste by identifying strategies that support translation of evidence into practice …

[HTML][HTML] Framework for the development and evaluation of complex interventions: gap analysis, workshop and consultation-informed update

K Skivington, L Matthews, SA Simpson… - Health technology …, 2021 - ncbi.nlm.nih.gov
Background The Medical Research Council published the second edition of its framework in
2006 on developing and evaluating complex interventions. Since then, there have been …

Development of a theory-informed questionnaire to assess the acceptability of healthcare interventions

M Sekhon, M Cartwright, JJ Francis - BMC health services research, 2022 - Springer
Background The theoretical framework of acceptability (TFA) was developed in response to
recommendations that acceptability should be assessed in the design, evaluation and …

Revisiting concepts of evidence in implementation science

RC Brownson, RC Shelton, EH Geng… - Implementation …, 2022 - Springer
Background Evidence, in multiple forms, is a foundation of implementation science. For
public health and clinical practice, evidence includes the following: type 1 evidence on …

Natural language processing for mental health interventions: a systematic review and research framework

M Malgaroli, TD Hull, JM Zech, T Althoff - Translational Psychiatry, 2023 - nature.com
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …

Adapt or die: how the pandemic made the shift from EBM to EBM+ more urgent

T Greenhalgh, D Fisman, DJ Cane, M Oliver… - BMJ Evidence-Based …, 2022 - ebm.bmj.com
Evidence-based medicine (EBM's) traditional methods, especially randomised controlled
trials (RCTs) and meta-analyses, along with risk-of-bias tools and checklists, have …

Midwife continuity of care models versus other models of care for childbearing women

J Sandall, CF Turienzo, D Devane… - Cochrane database …, 2024 - cochranelibrary.com
Background Midwives are primary providers of care for childbearing women globally and
there is a need to establish whether there are differences in effectiveness between midwife …

Trends in guideline implementation: an updated scoping review

S Peters, K Sukumar, S Blanchard, A Ramasamy… - Implementation …, 2022 - Springer
Background Guidelines aim to support evidence-informed practice but are inconsistently
used without implementation strategies. Our prior scoping review revealed that guideline …

Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: a systematic review and meta-analysis of randomised …

G Moschonis, G Siopis, J Jung, E Eweka… - The Lancet Digital …, 2023 - thelancet.com
Background Digital health interventions have shown promising results for the management
of type 2 diabetes, but a comparison of the effectiveness and implementation of the different …