ArticleImplementation science communications2023
Participatory logic modeling in a multi-site initiative to advance implementation science.
Article in Implementation science communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Community engagement and implementation science: a hermeneutic review for implementation scientists.Implementation science communications · 2026Review
- So what? Elevating the impact of implementation science.Implementation science communications · 2025Article
- Adapting TeamSTEPPS for school mental health teams: development of an implementation research logic model.Frontiers in health services · 2025Article
- Firm, yet flexible: a fidelity debate paper with two case examples.Implementation science : IS · 2024Article
- Participatory logic model for a precision child and youth mental health start-up: scoping review, case study, and lessons learned.Frontiers in health services · 2024Article
- Using the Translational Science Benefits Model to assess the impact of the Penn Implementation Science Center in Cancer Control.Journal of clinical and translational science · 2024Article
- Extending the translational science benefits model to implementation science for cancer prevention and control.Journal of clinical and translational science · 2024Article
Corrections and comments
- Update of
Authors and funding
11 authors.
Funding
Abstract
backgroundLogic models map the short-term and long-term outcomes that are expected to occur with a program, and thus are an essential tool for evaluation. Funding agencies, especially in the United States (US), have encouraged the use of logic models among their grantees. They also use logic models to clarify expectations for their own funding initiatives. It is increasingly recognized that logic models should be developed through a participatory approach which allows input from those who carry out the program being evaluated. While there are many positive examples of participatory logic modeling, funders have generally not engaged grantees in developing the logic model associated with their own initiatives. This article describes an instance where a US funder of a multi-site initiative fully engaged the funded organizations in developing the initiative logic model. The focus of the case study is Implementation Science Centers in Cancer Control (ISC
methodsThe reflective case study was collectively constructed by representatives of the seven centers funded under ISC
resultsThe initial logic model for ISC
conclusionsThe ISC
Indexed as
Identifiers
What OpenQuestion holds
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.