Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Serial SMS Reminders and an Opt-out Mailed FIT Kits to Improve Colorectal Screening Participation: A Single Center RCT

ABSTRACT: This pilot study is a 2-armed randomized controlled trial assessing the impact of a multimodal approach on colorectal cancer screening participation rates in a Federally Qualified Health Center. The trial will test serial text message reminders and opt-out mailed fecal immunochemistry test (FIT) home kits against a simple reminder text message control. Patients aged 50-74 years, who are registered at a Family Practice and Counselling Network (FPCN) clinic and are overdue for colorectal cancer screening will be recruited. The primary outcome is the rate of FIT kits being returned at 12 weeks.

DISEASE(S): Bowel Cancer,Colon Cancer,Colonic Neoplasms

PROVIDER: 2269435 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Mailed FIT Outreach 2022

Project description:This project aims to evaluate different approaches to increase colorectal cancer screening among primary care patients at Penn Medicine through a centralized screening outreach program. In a pragmatic trial, we will evaluate different approaches to increase response rate to mailed fecal immunochemical test (FIT) kits among eligible patients, including differentiated packaging, sending text reminders, and personalized reminders.

| 2719791 | ecrin-mdr-crc

SMS Reminders for Positive FOBT Follow-up

Project description:A randomized controlled trial to examine the effect of 3 mobile telephone text message reminders on followup colonoscopy 120 days after a positive fecal occult blood test among Meuhedet members aged 50-74 who tested positive in 2016.

| 2281948 | ecrin-mdr-crc

Mailed Reminders Plus Fecal Immunochemical Testing

Project description:Purpose: The investigators propose to test the effectiveness, feasibility, and cost-effectiveness of a mailed reminder with and without FIT kits in a population of Medicaid enrollees in Mecklenburg County.

| 2246139 | ecrin-mdr-crc

Using Behavioral Science to Improve Colorectal Cancer Screening Rates With Mailed FIT Kits

Project description:As a part of UCLA Health’s continued goal of improving patient care the investigators are updating our mailing campaign for our FIT Kit colorectal cancer screening that the investigators administer 2 times per year to include an automated phone call reminder to patients who are overdue for average-risk colorectal cancer screening and enrolled in a mailed FIT program. This will help the investigators evaluate if automated phone calls are effective at improving compliance with CRC screening, in addition to mailed FIT and embedded electronic health record (EHR) portal messages to patients.

| 2366749 | ecrin-mdr-crc

Nassar2022 - Microbome nucleic acid extraction kit NER model

Project description:Microbiome nucleic acid extraction kit model is a Named Entity Recognition (NER) model that identifies and annotates the name of the kits used in extracting microbiome nucleic acids in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with kits metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications

2022-02-21 | MODEL2202170007 | BioModels

Health Message Framing to Improve Uptake of Bowel Cancer Screening

Project description:The objective of this research is to investigate whether a text message (SMS message) prompting participation in the UK national bowel cancer screening programme improves uptake for those who have not responded to the test. The secondary objective is to investigate whether the framing/phrasing of the text message improves participation , whether by stating the benefits of uptake or alternatively by stating the costs of non-uptake.

| 2270040 | ecrin-mdr-crc

Optimization of Adaptive Text Messages for Cancer Survivors (OATS II)

Project description:This clinical trial evaluates whether an adaptive text-message intervention is useful in helping survivors of colorectal cancers (CRC) eat more whole grain foods and less refined grain foods. Most CRC survivors don’t achieve the recommended intakes of whole grains or fiber, even though there is strong evidence that a high-fiber diet rich in whole grains lowers the risk of death from CRC. Dietary interventions are a promising approach for reducing death from CRC, and text message interventions specifically are a promising tool for reaching diverse populations. This trial evaluates a text-message based dietary intervention that continuously adapts message content to be specifically tailored for the participant for increasing whole grain consumption.

| 9733 | ecrin-mdr-crc

SMS alerts to reduce toxicity and improve treatment compliance in cancer chemotherapy: A clinical trial

Project description:Intervention1: Text message (SMS): Patients in the intervention arm will receive, in addition to standard written instructions, periodic SMS after 4th, 7th and 14th day of starting first cycle of chemotherapy and similarly with each cycle for 3 cycles in peri-operative chemotherapy for stomach cancer, 3 cycles in adjuvant chemotherapy and 4 cycles in palliative chemotherapy for Colorectal cancer. Control Intervention1: Standard written instructions: Patients in the control arm will receive standard written instructions during each chemotherapy visit to the hospital. Primary outcome(s): - Number of Suspected Unexpected Serious Adverse Reactions (SUSARs) - Number of delayed chemotherapy cycles due to toxicity - Number of dose reductions due to severe toxicity Timepoint: NA

| 2576329 | ecrin-mdr-crc

Heterogeneity and Clonality of Kidney-infiltrating T cells in Murine Lupus Nephritis.

Project description:Purpose:We previously found that kidney-infiltrating T cells (KITs) in murine lupus nephritis (LN) resembled dysfunctional T cells that infiltrate tumors. This unexpected finding raised the question of how to reconcile the “exhausted” phenotype of KITs with ongoing tissue destruction in LN. Methods: we performed scRNA-seq and TCR-seq of KITs in murine lupus models using 10X Genomics Chromium system . Results: We found that CD8 KITs exist first in a transitional state, before clonally expanding and evolving toward exhaustion. On the other hand, CD4 KITs did not fit into current differentiation paradigms, but included both hypoxic and cytotoxic subsets with a pervasive exhaustion signature. Thus, autoimmune nephritis is unlike acute pathogen immunity; rather the kidney microenvironment suppresses T cells by progressively inducing exhausted states. Our findings suggest that lupus nephritis, a chronic condition, results from slow evolution of damage caused by dysfunctional T cells and their precursors on the way to exhaustion. These findings have implications for both autoimmunity and tumor immunology.

2022-02-24 | GSE197339 | GEO

The Intervention and Evaluation of Colonoscopy Compliance in Colorectal Cancer Screening Based on Health Behavior Theory

Project description:Interventions: low frequency SMS intervention group:usual follow-up care and a text message about colonoscopy every four weeks; high frequency SMS intervention group :usual follow-up care and a text message about colonoscopy every two weeks;control group:usual follow-up care Primary outcome(s): colonoscopy compliance Study Design: Randomized parallel controlled trial

| 2666023 | ecrin-mdr-crc

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data