Despite investments in evidence-based interventions and Implementation Science, most evidence-based interventions are not widely or routinely adopted, delivered, or sustained in many real-world community and healthcare settings. This gap is even greater in settings and populations experiencing numerous social and structural barriers to health, with important implications for persistent patterns in health inequities. In this Viewpoint, as part of a Special Issue on Advancing the Adaptability of Chronic Disease Prevention and Management through Implementation Science, we outline seven calls to action for the field of Implementation Science, with the goal of encouraging researchers, practitioners, and funders to be more intentional and accountable in applying Implementation Science to have greater impact on promoting health equity. Calls to action include (1) enhance public health, community, and multi-sectoral partnerships to promote health equity and equitable implementation; (2) revisit and build the evidence base needed to promote health equity and impact at multiple levels; (3) prioritize focus on policy development, dissemination, and implementation; (4) be agile and responsive in application of Implementation Science frameworks, processes, and methods; (5) identify and redefine meaningful metrics for equity and impact; (6) disseminate scientific evidence and research to a diverse range of partners and potential beneficiaries; and (7) extend focus on de-implementation, mis-implementation, and sustainability which are central to enhancing health equity. Additionally, we outline why a focus on prevention and public health is essential to making progress towards health equity in Implementation Science, summarize important advancements that the field has made towards making equity more foundational, and pose important research questions to enhance equitable impact of work in this area.
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http://dx.doi.org/10.1007/s11121-023-01589-z | DOI Listing |
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Wageningen University and Research, Hydrology and Environmental Hydraulics Group, 6700 AA Wageningen, The Netherlands.
Recently, the rapid increase in global plastics production has caused various ecological and economic issues, worsened by poor material and waste management. Among the market-based instruments that could help mitigate the environmental impacts of plastics throughout their life-cycle, we evaluate the advantages and limitations of incorporating a cap-and-trade (CAT) system into future policy mixes. Our aim is to inspire further investigation of CAT's feasibility rather than presenting it as the ultimate solution.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, US.
Background: Most cancer survivors have multiple cardiovascular risk factors, increasing their risk of poor cardiovascular and cancer outcomes. The Automated Heart-Health Assessment (AH-HA) tool is a novel electronic health record clinical decision support tool based on the American Heart Association's Life's Simple 7 cardiovascular health (CVH) metrics to promote CVH assessment and discussion in outpatient oncology. Before proceeding to future implementation trials, it is critical to establish the acceptability of the tool among providers and survivors.
View Article and Find Full Text PDFJ Urol
January 2025
Department of Population Health, NYU Grossman School of Medicine, New York, New York.
Purpose: We aimed to determine whether implementation of clinical decision support (CDS) tool integrated into the electronic health record (EHR) of a multi-site academic medical center increased the proportion of patients with American Urological Association (AUA) "high risk" microscopic hematuria (MH) who receive guideline concordant evaluations.
Materials And Methods: We conducted a two-arm cluster randomized quality improvement project in which 202 ambulatory sites from a large health system were randomized to either have their physicians receive at time of test results an automated CDS alert for patients with 'high-risk' MH with associated recommendations for imaging and cystoscopy (intervention) or usual care (control). Primary outcome was met if a patient underwent both imaging and cystoscopy within 180 days from MH result.
J Phys Chem A
January 2025
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
We present direct frequency comb cavity ring-down spectroscopy with Vernier filtering as a straightforward approach to sensitive and multiplexed trace gas detection. The high finesse cavity acts both to extend the interaction length with the sample and as a spectral filter, alleviating the need for dispersive elements or an interferometer. In this demonstration, a free running interband cascade laser was used to generate a comb centered at 3.
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