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Implementation science is a nascent field that aims to study the factors that influence the effectiveness of a given clinical intervention, such as the characteristics of the individuals involved, the internal and external settings, the process of implementation, and other factors. Overall, implementation science aims to increase the extent to which an intervention is practiced, and the quality of its delivery to a patient. Although still in its infancy, the applications of implementation science in anesthesiology and cardiothoracic surgery abound. Whether used to adopt novel innovations, avoid the use of obsolete practices, or redeploy existing interventions to improve quality, implementation science holds promise in optimizing how we bring the latest in clinical science to produce tangible benefits to patients and create sustainable change.
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http://dx.doi.org/10.1053/j.jvca.2023.11.008 | DOI Listing |
BMC Glob Public Health
September 2025
Connell School of Nursing, Boston College, Chestnut Hill, MA, USA.
Background: Sierra Leone has the world's third highest incidence of maternal mortality, with 443 deaths per 100,000 live births. Strengthening the country's midwifery workforce is essential to providing adequate maternal healthcare and reducing preventable perinatal mortality. In support of this goal, we developed and implemented a midwifery preceptor program (MPP) to train experienced midwives to effectively mentor new and student midwives.
View Article and Find Full Text PDFAntimicrob Resist Infect Control
September 2025
School of Medicine and Health Management, Guizhou Province, Guizhou Medical University, GUI'an New District, 6 Ankang Avenue, Guiyang, People's Republic of China.
Background: Although current evidence supports the effectiveness of social norm feedback (SNF) interventions, their sustained integration into primary care remains limited. Drawing on the elements of the antimicrobial SNF intervention strategy identified through the Delphi-based evidence applicability evaluation, this study aims to explore the barriers and facilitators to its implementation in primary care institutions, thereby informing future optimization.
Methods: Based on the five domains of the Consolidated Framework for Implementation Research (CFIR), we developed semi-structured interview and focus group discussion guides.
J Hum Genet
September 2025
Division of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Comprehensive genomic profiling (CGP) expands treatment options for solid tumor patients and identifies hereditary cancers. However, in Japan, confirmatory tests have been conducted in only 31.6% of patients with presumed germline pathogenic variants (GPVs) detected through tumor-only testing.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Global Health Economics Centre, Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Background: Artificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagnostic performance and its application when deployed in real-world conditions.
Objective: This study aimed to assess the technical feasibility of integration and diagnostic performance of validated DR screening (DRS) AI algorithms in real-world outpatient public health settings.