In this paper, we propose an implementation science research agenda as it applies to school mental health (SMH). First, we provide an overview of important contextual issues to be considered when addressing research questions pertinent to the implementation of mental health interventions in schools. Next, we critically review three core implementation components: (a) professional development and coaching for school professionals regarding evidence-based practices (EBPs); (b) the integrity of EBPs implemented in schools; and (c) EBP sustainment under typical school conditions. We articulate research questions central to the next generation of research in each of these areas as well as methods to address such questions. Our intent in doing so is to contribute to a developing blueprint to guide community-research partnerships as well as funding agencies in their efforts to advance implementation science in SMH.
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http://dx.doi.org/10.1007/s12310-013-9115-3 | DOI Listing |
Ageing Res Rev
January 2025
Center for Global Health Research, Saveetha Medical College & Hospitals, Saveetha Institute of Medical & Technical Sciences, Saveetha University, Chennai, India; Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address:
Parkinson's disease (PD) is one of the most incapacitating neurodegenerative diseases (NDDs). PD is the second most common NDD worldwide which affects approximately 1 to 2 percent of people over 65 years. It is an attractive pursuit for artificial intelligence (AI) to contribute to and evolve PD treatments through drug repositioning by repurposing existing drugs, shelved drugs, or even candidates that do not meet the criteria for clinical trials.
View Article and Find Full Text PDFMidwifery
December 2024
Health Systems and Equity, Eastern Health Clinical School, Monash University, Australia. Electronic address:
Problem/ Background: The acceptability of providing women with personalised cardiometabolic risk information using risk prediction tools early in pregnancy is not well understood.
Aim: To explore women's and healthcare professionals' perspectives of the acceptability of a prognostic, composite risk prediction tool for cardiometabolic risk (gestational diabetes and/or hypertensive disorders of pregnancy) for use in early pregnancy.
Methods: Semi-structured interviews were conducted to explore the acceptability of cardiometabolic risk prediction tools, preferences for risk communication and considerations for implementation into antenatal care.
Sci Total Environ
January 2025
School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India; Department of Mining Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India.
Coastal ecosystems are increasingly threatened by the accumulation of marine litter globally. Limited data availability along India's eastern coast hinders targeted mitigation efforts. This study assesses coastal litter along Visakhapatnam, a smart city on India's eastern coast, using the NOAA shoreline debris protocol.
View Article and Find Full Text PDFPrev Vet Med
December 2024
School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, United Kingdom.
Paratuberculosis (Johne's disease), caused by Mycobacterium avium subsp. paratuberculosis (MAP), is a common, economically-important and potentially zoonotic contagious disease of cattle, with worldwide distribution. Disease management relies on identification of animals which are at high-risk of being infected or infectious.
View Article and Find Full Text PDFJ Adv Nurs
January 2025
Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.
Aim: To identify the barriers and enablers in the implementation of evidence-based physical activity (PA) programmes for the improvement of health outcomes among pregnant women with gestational diabetes mellitus (GDM), and to develop strategies for implementing this evidence in clinical practice.
Methods: A convergent mixed-methods study was conducted, integrating a descriptive qualitative research design with a cross-sectional survey. In-depth interview was used to collect the views and cognitions about physical activity from medical staff, leaders and pregnant women.
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