Implementation Science
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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
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| Scope | International |
|---|---|
| Language | English |
| Country | United Kingdom |
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Recent Articles
Search ArticlesDissemination of a facilitation strategy to de-implement unnecessary post-operative antibiotics at children's hospitals: The Optimizing Perioperative Antibiotic in Children (OPerAtiC) trial 2.0 | Implementation Science | Full Text
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.
Implementing collaborative practices in healthcare settings using champions: a scoping review - Implementation Science
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].
Implementing an AI-enhanced clinical decision support system for Stenotrophomonas maltophilia: a survey-based randomized controlled trial of antibiotic precision and impact on survival | Implementation Science | Full Text
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.
Achieving cardiovascular health equity in community mental health: study protocol for a cluster-randomized hybrid Type 3 effectiveness-implementation trial | Implementation Science | Full Text
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.
Facilitation as an effective strategy to reduce excessive antibiotic prophylaxis in Children’s hospitals: A stepped-wedge cluster randomized controlled trial | Implementation Science | Full Text
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].
A pragmatic approach to estimating the cost to deliver and participate in implementation strategies - Implementation Science
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.
Implementation Strategies Applied in Communities Matching Process (ISAC Match): Expanded Guidance and Case Study - Implementation Science
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].
Protocol for a Type 3 hybrid effectiveness-implementation cluster randomized trial to evaluate multi-ethnic, multilevel strategies and community engagement to eliminate hypertension disparities in Los Angeles County | Implementation Science | Full Text
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.
Integrating implementation science and intervention optimization - Implementation Science
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.
The STop UNhealthy substance use now (STUN II) trial: protocol for a 48-site cluster randomized 2 × 2 factorial implementation trial to improve evidence-based screening and interventions for substance use disorder within primary care | Implementation Scie
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.