ArticleJournal of registry management2021
A Case Study of Early-Onset Colorectal Cancer: Using Electronic Health Records to Support Public Health Surveillance on an Emerging Cancer Control Topic.
Article in Journal of registry management, 2021. 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.
- Implementation of a surveillance and monitoring system for chronic disease: A scoping review: Running title: Chronic disease surveillance and monitoring system.AIMS public health · 2026Review
- Nursing Records Regarding Decision-Making in Cancer Supportive Care: A Retrospective Study in Japan.Healthcare informatics research · 2024Article
- Predicting Early-Onset Colorectal Cancer with Large Language Models.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Electronic health records (EHRs) are increasingly being used to support public health surveillance, including in cancer, where many population-based registries can now accept electronic case reporting. Using EHRs to supplement cancer registry data provides the opportunity to examine in more detail emerging issues in cancer control, such as the increasing incidence rates of early onset colorectal cancer (CRC). The purpose of this study was to evaluate the feasibility of a public health organization partnering with a health system to examine risk factors for early-onset CRC in a community cancer setting, and to further understand challenges with using EHRs to address emerging topics in cancer control. We conducted a mixed-methods evaluation using key informant interviews with public health practitioners, researchers, and registry staff to generate insights on how using EHRs and partnering with health systems can improve chronic disease surveillance and cancer control. A data quality assessment of variables representing risk factors for CRC and other clinical characteristics was conducted on all CRC patients diagnosed in 2016 at the participating cancer center. The quantitative assessment of the EHR data revealed that, while most chronic health conditions were well documented, around 25% of CRC patients were missing information on body mass index, alcohol, and tobacco use. Key informants offered ideas and ways to overcome challenges with using EHR data to support chronic disease surveillance. Their recommendations included the following activities: engaging EHR vendors in the development of standards, taking leadership roles on workgroups to address emerging technological issues, participating in pilot studies and task forces, and negotiating with EHR vendors so that clinical decision support tools built to support public health initiatives are freely available to all users of those EHRs. Although using EHR data to support public health efforts is not without its challenges, it soon could be an important part of chronic disease surveillance and cancer control.
Indexed as
Identifiers
34170890PMC9231638What 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.