Evidence map›Paper›PMID 30874988›Full record

Observational studyDigestive diseases and sciences2019

Utilization of Census Tract-Based Neighborhood Poverty Rates to Predict Non-adherence to Screening Colonoscopy.

Philip Vutien, Rucha Shah, Karen Ma, Nasir Saleem, Joshua Melson

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Digestive diseases and sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Philip VutienDivision of Digestive Diseases, Department of Medicine, Rush University Medical Center, 1725 West Harrison Street, Suite 206, Chicago, IL, 60612, USA.
Rucha ShahDivision of Digestive Diseases, Department of Medicine, Rush University Medical Center, 1725 West Harrison Street, Suite 206, Chicago, IL, 60612, USA.
Karen MaDivision of Digestive Diseases, Department of Medicine, Rush University Medical Center, 1725 West Harrison Street, Suite 206, Chicago, IL, 60612, USA.
Nasir SaleemDivision of Digestive Diseases, Department of Medicine, Rush University Medical Center, 1725 West Harrison Street, Suite 206, Chicago, IL, 60612, USA.
Joshua MelsonDivision of Digestive Diseases, Department of Medicine, Rush University Medical Center, 1725 West Harrison Street, Suite 206, Chicago, IL, 60612, USA. Joshua_Melson@rush.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEfforts to improve colorectal cancer (CRC) screening rates include recognizing predictors of colonoscopy non-adherence and identifying these high-risk patient populations. Past studies have focused on individual-level factors but few have evaluated the influence of neighborhood-level predictors. We sought to assess the effect of census tract-based neighborhood poverty rates on scheduled screening colonoscopy non-adherence.

methodsIn this prospective observational cohort study, data from electronic medical records and appointment tracking software were collected in 599 patients scheduled to undergo outpatient CRC screening colonoscopy at two academic endoscopy centers between January 2011 and December 2012. Non-adherence was defined as failure to attend a colonoscopy appointment within 1 year of the date it was electronically scheduled. Neighborhood poverty rate was determined by matching patients' self-reported home address with their corresponding US census tract. Individual factors including medical comorbidities and prior appointment adherence behavior were also collected.

resultsOverall, 17% (65/383) of patients were non-adherent to scheduled colonoscopy at 1-year follow-up. Neighborhood poverty rate was a significant predictor of non-adherence to scheduled screening colonoscopy in multivariate modeling (OR 1.53 per 10% increase in neighborhood poverty rate, 95% CI 1.21-1.95, p < 0.001). By incorporating the neighborhood poverty rate, screening colonoscopy non-adherence was 31% at the highest quartile compared to 14% at the lowest quartile of neighborhood poverty rates (p = 0.006).

conclusionsCensus tract-based neighborhood poverty rates can be used to predict non-adherence to scheduled screening colonoscopy. Targeted efforts to increase CRC screening efficiency and completion among patients living in high-poverty geographic regions could reduce screening disparities and improve utilization of endoscopy unit resources.

Indexed as

CensusesPoverty AreasAgedAppointments and SchedulesArea Under CurveColonoscopyColorectal NeoplasmsEarly Detection of CancerFemaleForecastingHumansMaleMiddle AgedNo-Show PatientsProspective StudiesResidence CharacteristicsColonoscopyGeocodingNeighborhood socioeconomic statusOrganizational efficiency

Identifiers

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Registered trials

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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.