Background: Logic 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), a multi-year initiative funded by the National Cancer Institute.
Methods: The reflective case study was collectively constructed by representatives of the seven centers funded under ISC. Members of the Cross-Center Evaluation (CCE) Work Group jointly articulated the process through which the logic model was developed and refined. Individual Work Group members contributed descriptions of how their respective centers reviewed and used the logic model. Cross-cutting themes and lessons emerged through CCE Work Group meetings and the writing process.
Results: The initial logic model for ISC changed in significant ways as a result of the input of the funded groups. Authentic participation in the development of the logic model led to strong buy-in among the centers, as evidenced by their utilization. The centers shifted both their evaluation design and their programmatic strategy to better accommodate the expectations reflected in the initiative logic model.
Conclusions: The ISC case study demonstrates how participatory logic modeling can be mutually beneficial to funders, grantees and evaluators of multi-site initiatives. Funded groups have important insights about what is feasible and what will be required to achieve the initiative's stated objectives. They can also help identify the contextual factors that either inhibit or facilitate success, which can then be incorporated into both the logic model and the evaluation design. In addition, when grantees co-develop the logic model, they have a better understanding and appreciation of the funder's expectations and thus are better positioned to meet those expectations.
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http://dx.doi.org/10.1186/s43058-023-00468-6 | DOI Listing |
Public Health Res (Southampt)
December 2023
School of Health and Related Research, University of Sheffield, Sheffield, UK.
Background: Housing insecurity can be understood as experiencing or being at risk of multiple house moves that are (1) not through choice and (2) related to poverty. For example, due to short-term private rental tenancies, temporary or emergency housing, and homelessness. Housing insecurity has grown due to recent trends in the cost and availability of housing.
View Article and Find Full Text PDFBiol Direct
January 2025
Key Laboratory of Geriatrics of Jiangsu Province, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Background: Despite the increasing body of evidence that mitochondrial activities implicate in chronic obstructive pulmonary disease (COPD), we are still far from a causal-logical and mechanistic understanding of the mitochondrial malfunctions in COPD pathogenesis.
Results: Differential expression genes (DEGs) from six publicly available bulk human lung tissue transcriptomic datasets of COPD patients were intersected with the known mitochondria-related genes from MitoCarta3.0 to obtain mitochondria-related DEGs associated with COPD (MitoDEGs).
BMC Health Serv Res
January 2025
Early Detection, Prevention & Infections Branch, International Agency for Research on Cancer, 25 Avenue Tony Garnier, Lyon, 69366 Cedex 07, France.
Background: Barriers to the cancer continuum organization and interventions to approach them have been identified; however, there is a lack of a tool matching them. Our aim was to develop a web-based tool to identify the main barriers to the process of the cancer continuum organization, and propose matched evidence-based interventions (EBI) to overcome them.
Methods: A questionnaire on barriers at six steps of the process of the cancer continuum organization was answered by collaborators.
Neuroinformatics
January 2025
Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA.
This paper introduces the Automated Lesion and Feature Extraction (ALFE) pipeline, an open-source, Python-based pipeline that consumes MR images of the brain and produces anatomical segmentations, lesion segmentations, and human-interpretable imaging features describing the lesions in the brain. ALFE pipeline is modeled after the neuroradiology workflow and generates features that can be used by physicians for quantitative analysis of clinical brain MRIs and for machine learning applications. The pipeline uses a decoupled design which allows the user to customize the image processing, image registrations, and AI segmentation tools without the need to change the business logic of the pipeline.
View Article and Find Full Text PDFBackground: Two main risk factors of Alzheimer's disease (AD) are aging and APOE-ε4. However, some individuals remain cognitively normal despite having these risk factors. They are considered "cognitively resilient".
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