ArticleHealth research policy and systems2021
The pragmatic, rapid, and iterative dissemination and implementation (PRIDI) cycle: adapting to the dynamic nature of public health emergencies (and beyond).
Article in Health research policy and systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed.
- Working to enhance HIV care: integrating implementation science and improvement science for effective quality improvement - a scoping review.BMJ open quality · 2026Article
- Have changes in practice in response to COVID-19 been sustained? A qualitative study of experiences and perceptions of health system stakeholders in Colombia.Health research policy and systems · 2026Article
- Adapting Public Health and Health Services Interventions in Diverse, Real-World Settings: Documentation and Iterative Guidance of Adaptations.Annual review of public health · 2025Review
- Building Resilient and Responsive Health Research Systems:Responses and the Lessons Learned from the COVID-19 Pandemic.Health research policy and systems · 2025Review
- Navigating Uncertainty: Adapting Guidance for Mental Health During the COVID-19 Public Health Emergency & the Crucial Role of Bi-directional Feedback.Administration and policy in mental health · 2025Article
- Iterative Development of an Interactive Website to Support Shared Decision-Making in Metastatic Breast Cancer.Journal of cancer education : the official journal of the American Association for Cancer Education · 2024Article
- Adaptation of the brainwriting premortem technique to inform the co-creation of COVID-19 testing strategies in underserved communities in South San Diego.BMC health services research · 2024Article
- Rapid methods for multi-level dissemination of neutralizing monoclonal antibody treatment for COVID-19 outpatients: designing for dissemination using the fit to context framework.Frontiers in public health · 2024Article
- Leveraging new methodologies for public health crisis management.Frontiers in public health · 2024Article
- Rapid-cycle designs to adapt interventions for COVID-19 in safety-net healthcare systems.Translational behavioral medicine · 2023Article
- Designing Digital COVID-19 Screening: Insights and Deliberations.International journal of environmental research and public health · 2023Article
- Digital intervention for public health: searching for implementing characteristics, concepts and recommendations: scoping review.Frontiers in public health · 2023Article
- Reducing burden and building goodwill for practice-embedded trials: Results of rapid qualitative methods in the preimplementation phase of a community paramedic trial to reduce hospitalizations.Journal of clinical and translational science · 2023Article
- Addressing COVID-19 vaccine hesitancy in rural communities: A case study in engaging trusted messengers to pivot and plan.Frontiers in public health · 2023Article
- Grounding implementation science in health equity for cancer prevention and control.Implementation science communications · 2022Article
- Advancing rapid adaptation for urgent public health crises: Using implementation science to facilitate effective and efficient responses.Frontiers in public health · 2022Article
- Correction to: The pragmatic, rapid, and iterative dissemination and implementation (PRIDI) cycle: adapting to the dynamic nature of public health emergencies (and beyond).Health research policy and systems · 2021Article
- Impact of a Resident-Driven Research Club on Scholarly Activity in an Academic Internal Medicine Residency Program During the COVID-19 Pandemic.Journal of medical education and curricular developmentArticle
Corrections and comments
- Erratum issued
- Update of
Authors and funding
5 authors.
Funding
Abstract
backgroundPublic health emergencies-such as the 2020 COVID-19 pandemic-accelerate the need for both evidence generation and rapid dissemination and implementation (D&I) of evidence where it is most needed. In this paper, we reflect on how D&I frameworks and methods can be pragmatic (i.e., relevant to real-world context) tools for rapid and iterative planning, implementation, evaluation, and dissemination of evidence to address public health emergencies. THE PRAGMATIC, RAPID, AND ITERATIVE D&I (PRIDI) CYCLE: The PRIDI cycle is based on a "double-loop" learning process that recognizes the need for responsiveness and iterative adaptation of implementation cycle (inner loop) to the moving landscapes, presented by the outer loops of emerging goals and desired outcomes, emerging interventions and D&I strategies, evolving evidence, and emerging characteristics and needs of individuals and contexts. Stakeholders iteratively evaluate these surrounding landscapes of implementation, and reconsider implementation plans and activities.
conclusionEven when the health system priority is provision of the best care to the individuals in need, and scientists are focused on development of effective diagnostic and therapeutic technologies, planning for D&I is critical. Without a flexible and adaptive process of D&I, which is responsive to emerging evidence generation cycles, and closely connected to the needs and priorities of stakeholders and target users through engagement and feedback, the interventions to mitigate public health emergencies (e.g., COVID-19 pandemic), and other emerging issues, will have limited reach and impact on populations that would most benefit. The PRIDI cycle is intended to provide a pragmatic approach to support planning for D&I throughout the evidence generation and usage processes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.