A new AI capability that delivers analysis-ready Media Intelligence. More than just a product launch, this is a shift in how communications teams monitor, understand and act on media coverage.
Implementation Science aims to publish research relevant to the scientific study of methods to promote the uptake of research findings into routine healthcare in clinical, organisational or policy contexts.
Biomedical, social science, organisational, and managerial research constantly produce new findings-but often these are not routinely translated into healthcare practice. Implementation research is the scientific study of methods to promote the systematic uptake of proven clinical treatments, practices, organisational, and management interventions into routine practice, and hence to improve health. In this context, it includes the study of influences on patient, healthcare professional, and organisational behaviour in either healthcare or population settings. Source
This study will use a quasi-experimental design with an interrupted time-series analysis to compare three years pre (2022–2024) and post (2025–2027) intervention. The intervention will involve training ASP teams and surgeons in facilitation strategies in addition to conducting order set review and modification.
Given the exploratory nature and broadness of our research question, we chose to conduct a scoping review. This methodology is particularly suited to overview how champions are defined and their actions are operationalized in multifaceted and context-depended projects. It also enables the inclusion of heterogeneous evidence involving qualitative, quantitative or mixed data, independently of strict inclusion criteria [12].
This single-center RCT (ISRCTN16278872) was conducted at Tri-Service General Hospital to investigate the impact of AI-CDSS on antibiotic prescription confidence among healthcare professionals treating SM infections, a WHO-recognized superbug.
The primary aim is to determine the effect of the most intensive sequence of strategies (REP, Coaching, and Facilitation) compared to the least intensive (REP only) on the number of IDEAL Goals sessions clients receive over 18 months. The secondary aim is to determine the marginal effects of each of the two added implementation strategies (Coaching and Facilitation) on the number of IDEAL Goals sessions clients receive over 18 months.
The Optimizing PERioperative AnTibiotICs (OPerAtiC) trial (clinicaltrials.gov registration #NCT04366440) is a stepped-wedge, cluster randomized control trial with nine hospitals that are members of the SHaring Antimicrobial Reports for Pediatric Stewardship (SHARPS) Collaborative and the American College of Surgeons National Surgical Quality Improvement Project-Pediatrics (NSQIP-P) [31]. Hospitals were randomized into three clusters (three hospitals per cluster) [32, 33].
The Stagewise Implementation-To-Target – Medications for Addiction Treatment (SITT-MAT) is an adaptive implementation trial designed to start up or scale up access to MOUD. Participants were 64 addiction specialty treatment programs and primary care clinics in a western US state.
To illustrate the use of ISAC Match, we describe application of the four-step process to select and tailor implementation strategies to increase the adoption of built environment approaches within the Montana State University Extension System (Fig. 2). Built environment approaches make it safer and easier for people across the life span to walk, bicycle, or wheelchair roll, and mitigate barriers to physical activity by making the healthy choice the default choice [52,53,54].
The study will be conducted in 27 LAC DHS clinics that provide adult primary care. LAC DHS is the nation’s second-largest municipal health system, providing care for 750,000 unique patients annually through an integrated system of four hospitals and 24 health centers [38]. LAC DHS clinics serve racially and ethnically diverse, socioeconomically underserved patients, many with hypertension.
Intervention optimization is the process of achieving a strategic balance of effectiveness against desired qualities of affordability, scalability, and efficiency (the strategic balance is referred to as intervention EASE; [11, 12]. One approach to intervention optimization is MOST. Though MOST has been described in detail in multiple outlets [8, 11, 12], here we provide a brief overview of MOST with a specific focus on the implications for the field of implementation science.
Prior to any multivariable analyses and hypothesis testing, descriptive statistics will be calculated utilizing median (25th-75th percentiles: Interquartile range [IQR]) for continuous measures and frequency (relative frequency [%]) for categorical measures on the entire population and then stratified by study arm.