Evidence map›Paper›PMID 25312997›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2015

Clinic type and patient characteristics affecting time to resolution after an abnormal cancer-screening exam.

Jessica L Krok-Schoen, Michelle L Kurta, Rory C Weier, Greg S Young, Autumn B Carey, Cathy M Tatum, Electra D Paskett

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Time to Colonoscopy after Positive Fecal Blood Test in Four U.S. Health Care Systems.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
    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

7 authors.

Jessica L Krok-SchoenComprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
Michelle L KurtaAllegheny County Health Department, Pittsburgh, Pennsylvania.
Rory C WeierComprehensive Cancer Center, The Ohio State University, Columbus, Ohio. Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio.
Greg S YoungCenter for Biostatistics, The Ohio State University, Columbus, Ohio.
Autumn B CareyCollege of Health and Rehabilitation Sciences, The Ohio State University, Columbus, Ohio.
Cathy M TatumComprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
Electra D PaskettComprehensive Cancer Center, The Ohio State University, Columbus, Ohio. Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio. Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio. electra.paskett@osumc.edu.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
TRAINING AND CAREER DEVELOPMENTP50CA105632 · NCI · OHIO STATE UNIVERSITY · PI PASKETT, ELECTRA D. · 2003 to 2016
$17.2M
NCI NIH HHS P30 CA016058NCI NIH HHS P30CA016058NCI NIH HHS P50 CA105632NCI NIH HHS P50CA105632
6 · The paper itself

Abstract

backgroundResearch shows that multilevel factors influence healthcare delivery and patient outcomes. The study goal was to examine how clinic type [academic medical center (AMC) or federally qualified health center (FQHC)] and patient characteristics influence time to resolution (TTR) among individuals with an abnormal cancer-screening test enrolled in a patient navigation (PN) intervention.

methodsData were obtained from the Ohio Patient Navigation Research Project, a group-randomized trial of 862 patients from 18 clinics in Columbus, Ohio. TTR of patient after an abnormal breast, cervical, or colorectal screening test and the clinics' patient and provider characteristics were obtained. Descriptive statistics and Cox shared frailty proportional hazards regression models of TTR were used.

resultsThe mean patient age was 44.8 years and 71% of patients were white. In models adjusted for study arm, FQHC patients had a 39% lower rate of resolution than AMC patients (P = 0.004). Patient factors of having a college education, private insurance, higher income, and being older were significantly associated with lower TTR. After adjustment for factors that substantially affected the effect of clinic type (patient insurance status, education level, and age), clinic type was not significantly associated with TTR.

conclusionsThese results suggest that TTR among individuals participating in PN programs are influenced by multiple socioeconomic patient-level factors rather than clinic type. Consequently, PN interventions should be tailored to address socioeconomic status factors that influence TTR. IMPACT: These results provide clues regarding where to target PN interventions and the importance of recognizing predictors of TTR according to clinic type.

Indexed as

Patient NavigationCase-Control StudiesCohort StudiesEarly Detection of CancerFemaleHumansMaleMiddle Aged

Identifiers

PMID25312997
PMCPMC4294950

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.