There have been recent concerns about the failure of several global health interventions. Interventions are considered to have failed when they are unable to achieve the intended results. Failure may be linked to how the intervention was designed (design failure) or how it was implemented (implementation failure). Recently, substantial efforts have been employed to improve the outcomes of health interventions. These efforts have led to the development of several theories, models, and frameworks in implementation science to improve the quality of implementation, bridging the divide between evidence and practice. But significant gaps still exist. Whereas much work has been done to develop frameworks and approaches to improve implementation fidelity, not as much effort has been done to guide the adherence of interventions to program theory during the design of the programs. Further, there have been concerns about the applicability of these frameworks in the real-world. This article uses examples to illustrate these gaps and further proposes a pragmatic framework to address identified gaps, thus aiding evidence-informed program design and implementation. The proposed Theory-Design-Implementation (TyDI) framework will support policymakers, program planners and implementers to address potential design and implementation failure, thus improving the fidelity of interventions.
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http://dx.doi.org/10.1080/17441692.2020.1814379 | DOI Listing |
Nord J Psychiatry
January 2025
Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland.
Purpose: Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental condition that affects approximately 5% of the pediatric population, with increased prevalence among those with type 1 diabetes (T1D). Reports suggest that unrecognized and untreated ADHD impairs T1D control and that ADHD may be underdiagnosed in the Polish population. The International Society for Pediatric and Adolescent Diabetes recommends neurodevelopmental assessments in children with T1D, but specific guidelines on procedures and implementation are lacking.
View Article and Find Full Text PDFStat Med
February 2025
U.S. Food and Drug Administration, Silver Spring, Maryland.
The recent U.S. Food and Drug Administration guidance on complex innovative trial designs acknowledges the use of Bayesian strategies to incorporate historical information based on clinical expertise and data similarity.
View Article and Find Full Text PDFPharmaceutics
January 2025
Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös u 6, H-6720 Szeged, Hungary.
Background: Nanotechnology has been the main area of focus for research in different disciplines, such as medicine, engineering, and applied sciences. Therefore, enormous efforts have been made to insert the use of nanoparticles into the daily routines of different platforms due to their impressive performance and the huge potential they could offer. Among numerous types of nanomaterials, titanate nanotubes have been widely recognised as some of the most promising nanocarriers due to their outstanding profile and brilliant design.
View Article and Find Full Text PDFPlants (Basel)
January 2025
Institute of Pharmacy, Faculty of Medicine, University of Tartu, Nooruse 1, 50411 Tartu, Estonia.
The genus (Lamiaceae family) comprises approximately 300 species, which are widely used in traditional medicine for their diaphoretic, antiseptic, hemostatic, and anti-inflammatory properties, but scarcely in official ones. Therefore, the study of holds promise for developing new medicinal products. In aqueous and aqueous-alcoholic soft extracts of the herb, 16 amino acids, 20 phenolics, and 10 volatile substances were identified by HPLC and GC/MS.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Netcom Engineering S.p.A., Via Nuova Poggioreale, Centro Polifunzionale, Tower 7, 5th Floor, 80143 Naples, Italy.
This paper explores the development and testing of two Internet of Things (IoT) applications designed to leverage Vehicle-to-Infrastructure (V2I) communication for managing intelligent intersections. The first scenario focuses on enabling the rapid and safe passage of emergency vehicles through intersections by notifying approaching drivers via a mobile application. The second scenario enhances pedestrian safety by alerting drivers, through the same application, about the presence of pedestrians detected at crosswalks by a traffic sensor equipped with neural network capabilities.
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