Evidence map›Paper›PMID 31319118›Full record

ArticlePreventive medicine2019

Correlates of colorectal cancer screening rates in primary care clinics serving low income, medically underserved populations.

Krishna P Sharma, Amy DeGroff, Lia Scott, Sundar Shrestha, Stephanie Melillo, Susan A Sabatino

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  5. Evaluating and Improving Cancer Screening Process Quality in a Multilevel Context: The PROSPR II Consortium Design and Research Agenda.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  6. Observational
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  10. No Quick Fixes: Integrating Population Health Education and Quality Improvement in a Large Residency Program.Journal for healthcare quality : official publication of the National Association for Healthcare Quality
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Krishna P SharmaDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, United States of America. Electronic address: KSharma@cdc.gov.
Amy DeGroffDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, United States of America.
Lia ScottDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, United States of America.
Sundar ShresthaOffice of Smoking Health, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, United States of America.
Stephanie MelilloDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, United States of America.
Susan A SabatinoDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, United States of America.
National Center for Chronic Disease Prevention and Health Promotion · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionScreening for colorectal cancer (CRC) is effective in reducing CRC burden. Primary care clinics have an important role in increasing screening. We investigated associations between clinic-level CRC screening rates of the clinics serving low income, medically underserved population, and clinic-level screening interventions, clinic characteristics and community contexts.

methodsUsing data (2015-16) from the Centers for Disease Control and Prevention's (CDC) Colorectal Cancer Control Program, we linked clinic-level data with county-level contextual data from external sources. Analysis variables included clinic-level CRC screening rates, four different evidence-based interventions (EBIs) intended to increase screening, clinic characteristics, and clinic contexts. In the analysis (2018), we used weighted ordinary least square multiple regression analyses to associate EBIs and other covariates with clinic-level screening rates.

resultsClinics (N = 581) had an average screening rate of 36.3% (weighted. Client reminders had the highest association (5.6 percentage points) with screening rates followed by reducing structural barriers (4.9 percentage points), provider assessment and feedback (3.2 percentage points), and provider reminders (<1 percentage point). Increases in the number of EBIs was associated with steady increases in the screening rate (5.4 percentage points greater for one EBI). Screening rates were 16.4 percentage points higher in clinics with 4 EBIs vs. no EBI. Clinic characteristics, contexts (e.g. physician density), and context-EBI interactions were also associated with clinic screening rates.

conclusionsThese results may help clinics, especially those serving low income, medically underserved populations, select individual or combinations of EBIs suitable to their contexts while considering costs.

Indexed as

Medically Underserved AreaColorectal NeoplasmsEarly Detection of CancerEvidence-Based MedicineHealth PromotionHumansPrimary Health CareReminder SystemsUnited StatesClinic contextsColorectal cancer screeningColorectal neoplasmsCommunity health centersEarly detection of cancerEvidence-based interventions (EBI)Evidence based practicesPrimary care clinicsScreening interventions

Identifiers

PMID31319118
PMCPMC6904949
OpenAlexW2960644286

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.