Leveraging systems science and design thinking to advance implementation science

Moving toward a solution-oriented paradigm

Dados Bibliográficos

ID22075348
AutoresTerry T-K Huang (0000-0001-5544-5187, City University of New York, autor correspondente), Emily A Callahan, Emily R Haines, Emily Haines (0000-0001-7208-5937, Wake Forest University), Cole Hooley (0000-0002-5361-5098, Brigham Young University), Dina Sorensen, Dina M Sorensen, David W Lounsbury (0000-0001-8539-4659, Albert Einstein College of Medicine), Nasim S Sabounchi (0000-0002-8027-8779, City University of New York), Peter S Hovmand (0000-0003-2096-6868, Case Western Reserve University)
Ano2024
Volume12
Páginas1368050-1368050
Data de publicação2024-05-15
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1368050
PMID38813425
OpenAlexW4396938364
IdiomaEN
Citações recebidas2
Referências citadas41

Many public health challenges are characterized by complexity that reflects the dynamic systems in which they occur. Such systems involve multiple interdependent factors, actors, and sectors that influence health, and are a primary driver of challenges of insufficient implementation, sustainment, and scale of evidence-based public health interventions. Implementation science frameworks have been developed to help embed evidence-based interventions in diverse settings and identify key factors that facilitate or hinder implementation. These frameworks are largely static in that they do not explain the nature and dynamics of interrelationships among the identified determinants, nor how those determinants might change over time. Furthermore, most implementation science frameworks are top-down, deterministic, and linear, leaving critical gaps in understanding of both how to intervene on determinants of successful implementation and how to scale evidence-based solutions. Design thinking and systems science offer methods for transforming this problem-oriented paradigm into one that is solution-oriented. This article describes these two approaches and how they can be integrated into implementation science strategies to promote implementation, sustainment, and scaling of public health innovation, ultimately resulting in transformative systems changes that improve population health

Complex adaptive system · Data science · Implementation research · Interdependence · Knowledge management · Management science · Paradigm shift · Population health · Process management · Psychological intervention · Public health · Sociology · Systems science · Systems thinking · Transformative learning · Translational science · Community Health and Development · Complex Systems and Decision Making · Computer Science · Engineering · Health Policy Implementation Science · Medicine