Background Implementation science theories, models and frameworks (TMFs) can guide implementation research and practice to address widening inequities in healthcare access, quality, and health outcome...

Background Trialists sometimes find it difficult to determine whether the innovation they are evaluating is a clinical intervention or an implementation strategy. The inaccurate classification of inno...

Background Few studies test strategies for the sustainability-implementation phase of evidence-based practices like collaborative care models (CoCMs). Methods We conducted a randomized control hybrid ...

Background Redundant and time-consuming paperwork is considered by patients to be a form of low-value care. The implementation of new digital health technologies, such as electronic medical history fo...

Background Artificial intelligence (AI) encompasses computational systems that perform tasks typically requiring human intelligence, including machine learning, generative AI, and agentic applications...

Background Digital health technologies (DHTs) have proven to be valuable tools in managing chronic conditions. However, significant barriers remain in the implementation of DHTs. A gap remains in unde...

Background Implementation science is moving from a proliferation of theories, models, and frameworks toward more rigorous empirical methods. However, quantitative implementation data remain highly het...

Background Digital mental health interventions (DMHIs) can expand access to mental health care, particularly in underserved regions. Despite this, real-world implementation is complex and few studies ...

Background Adolescents and young adults (AYAs) aged 10–24 years in sub-Saharan Africa experience low nutrition literacy and poor diet quality. Community health worker (CHW)-led interventions offer a d...

Background Relative to implementation science, dissemination science is at an earlier stage of development and lacks a tool for specifying and visually depicting the components of the dissemination pr...

Introduction Psychotropic medication use remains highly prevalent in dementia despite guidelines recommending against routine use. The Evidence-based Medication knowledge Brokers in Residential Aged C...

Background Evidence-based methods for induction of labor (IOL) are underutilized, increasing risk of prolonged induction, complications, and unnecessary costs. To address heterogeneity in response to ...

Background Despite substantial investment over two decades, implementation science has struggled to produce the comprehensive, empirically supported theories needed to predict which strategies will wo...

Background Audit and feedback (A&F) is a widely used quality improvement strategy in which a summary of healthcare professionals’ (HCPs) practice is provided to support behaviour change. However, its ...

Background Simulation is an established evidence-based tool in healthcare. It is widely used for medical education (simulation-based medical education [SBME]), quality improvement, capacity building, ...

Background Delirium affects up to two-thirds of palliative care unit (PCU) inpatients, causing distress for patients, families, and staff, and contributing to complex care needs and increased healthca...

Background Primary care clinics need effective, low-cost tools to screen for and address multiple health risks — and technology can provide important efficiencies. My Own Health Report (MOHR) is a web...

In this editorial we reflect on recent contributions that have focused on how researchers should involve qualitative research in implementation science. Implementation science as a discipline has firm...

Implementation Science Communications, an official companion journal to Implementation Science, is a forum to publish research to foster the uptake of ...

Background Practice facilitation is an effective multicomponent strategy that focuses on building primary care practice capacity for continuous quality improvement. Despite its growing use, few framew...

Background Nurse-initiated care improves timely treatment access, but adoption varies. The Ministry of Health introduced 73 Emergency Care Assessment and Treatment (ECAT) protocols for public emergenc...

Background Well-designed guideline implementation tools – such as job aids and documentation charts – can facilitate adherence to clinical practice guidelines among health workers and accelerate impro...

Background Dissemination science lacks shared language for specifying what dissemination strategies are designed to achieve. Without clearly defined outcomes, researchers cannot design studies that ex...

In this editorial we reflect on recent contributions that have focused on how researchers should involve qualitative research in implementation science. Implementation science as a discipline has firm...

In this editorial we reflect on recent contributions that have focused on how researchers should involve qualitative research in implementation science. Implementation science as a discipline has firm...

Background The Implementation Research Logic Model (IRLM) was developed to enhance the rigor, transparency, and reproducibility of implementation research by integrating key elements of implementation...

Background The potential for implementation science (IS) to address health inequities is limited by insufficient attention to power. Although the field emphasizes context, it remains unclear how best ...

Background Pulmonary rehabilitation programs (PRPs) are a core component of care for people with chronic obstructive pulmonary disease (COPD), yet referral is low. The aims of this study were to; (i) ...

Background Understanding how implementation strategies work is vitally important for the deployment of evidence-based practices (EPBs) in healthcare settings. Specifically, mechanistic inquiry provide...

Background Artificial intelligence (AI), including machine learning, natural language processing, and large language models, may support implementation practice and research in tasks such as evidence ...

Background Maternal health service utilization remains low in Bangladesh, while maternal health outcomes are poor and adolescent pregnancy rates are high. In this context, targeted social and behavior...

Background Monitoring systems are important for evaluating key outcome measures, identifying opportunities for improvement, and informing public health investment. While disease surveillance systems a...

Implementation Science -

Background Artificial intelligence (AI), including machine learning, natural language processing, and large language models, may support implementation practice and research in tasks such as evidence ...

Implementation Science is a pioneering, highly-accessed journal dedicated to publishing evidence regarding methods for promoting the uptake of consolidated ...

An interview with Bo Kim, who has joined the Implementation Science Communications Board. An assistant professor of psychiatry at Harvard Medical School, Bo is also an investigator at the Center for H...

Background The implementation of digital health technologies (DHTs) is a strategic priority for many health systems, yet integrating them into routine clinical use remains challenging. While numerous ...

Implementation science has long relied on the concepts of barriers and facilitators (B&F) to explain why evidence-based practices succeed or fail. Determinant frameworks such as the Consolidated Frame...

Background Implementation climate is a key organizational determinant of whether evidence-based interventions (EBIs) are adopted, delivered with fidelity, and sustained in healthcare. Despite its impo...

Background The CFIR-ERIC matching tool, developed by Waltz et al. in 2019 to integrate implementation strategies with theoretical frameworks, enables rapid and targeted generation of implementation st...

Background EDDIE + was a stepped wedge cluster randomised controlled trial with an embedded process evaluation in 11 residential aged care (RAC) homes in Queensland, Australia. The intervention aimed ...