ReviewPreventing chronic disease2022
Development of a Field Guide for Assessing Readiness to Implement Evidence-Based Cancer Screening Interventions in Primary Care Clinics.
Review in Preventing chronic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Process Mapping to Compare and Improve Management of Abnormal Cervical Cancer Screening Results in Two US Healthcare Systems within the PROSPR Consortium.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Sustainability of evidence based interventions implemented in CDC's colorectal cancer control program.Implementation science communications · 2025Article
- Twenty years of capacity building across the cancer prevention and control research network.Cancer causes & control : CCC · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Evidence-based interventions, including provider assessment and feedback, provider reminders, patient reminders, and reduction of structural barriers, improve colorectal cancer screening rates. Assessing primary care clinics' readiness to implement these interventions can help clinics use strengths, identify barriers, and plan for success. However, clinics may lack tools to assess readiness and use findings to plan for successful implementation. To address this need, we developed the Field Guide for Assessing Readiness to Implement Evidence-Based Cancer Screening Interventions (Field Guide) for the Centers for Disease Control and Prevention's (CDC's) Colorectal Cancer Control Program (CRCCP). We conducted a literature review of evidence and existing tools to measure implementation readiness, reviewed readiness tools from selected CRCCP award recipients (n = 35), and conducted semi-structured interviews with key informants (n = 8). We sought feedback from CDC staff and recipients to inform the final document. The Field Guide, which is publicly available online, outlines 4 assessment phases: 1) convene team members and determine assessment activities, 2) design and administer the readiness assessment, 3) evaluate assessment data, and 4) develop an implementation plan. Assessment activities and tools are included to facilitate completion of each phase. The Field Guide integrates implementation science and practical experience into a relevant tool to bolster clinic capacity for implementation, increase potential for intervention sustainability, and improve colorectal cancer screening rates, with a focus on patients served in safety net clinic settings. Although this tool was developed for use in primary care clinics for cancer screening, the Field Guide may have broader application for clinics and their partners for other chronic diseases.
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.