Evidence map›Paper›PMID 25678378›Full record

ArticleJournal of general internal medicine2015

Building Equity Improvement into Quality Improvement: Reducing Socioeconomic Disparities in Colorectal Cancer Screening as Part of Population Health Management.

Seth A Berkowitz, Sanja Percac-Lima, Jeffrey M Ashburner, Yuchiao Chang, Adrian H Zai, Wei He, Richard W Grant, Steven J Atlas

Registry-linked trialOpen access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02553538 (Improving Comprehensive Cancer Screening Among Vulnerable Patients Using Patient Navigation as Part of a Population-Based Health IT System), which is not on this map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
2.9field-weighted citation impact, top 8% 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.

NCT02553538 nacompletednot on this map

Improving Comprehensive Cancer Screening Among Vulnerable Patients Using Patient Navigation as Part of a Population-Based Health IT System: A Randomized Control Trial

TypeinterventionalSponsorMassachusetts General HospitalRan2014 to 2014Enrolled1,612ConditionsPatient ComplianceArmsPatient Navigation
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  3. Innovative Implementation Studies Conducted in US Safety Net Health Care Settings: A Systematic Review.American journal of medical quality : the official journal of the American College of Medical Quality
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  19. The Coming Primary Care Revolution.Journal of general internal medicine · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Seth A BerkowitzDivision of General Internal Medicine, Medical Services, Massachusetts General Hospital, Boston, MA, USA, SABerkowitz@partners.org.
Sanja Percac-Lima
Jeffrey M Ashburner
Yuchiao Chang
Adrian H Zai
Wei He
Richard W Grant
Steven J Atlas
Massachusetts General Hospital · USHarvard University · USKaiser Permanente · US

Funding

Technology for Optimizing Population Care in a Resource-limited EnvironmentR18HS018161 · AHRQ · MASSACHUSETTS GENERAL HOSPITAL · PI ATLAS, STEVEN J · 2009 to 2011
$1.2M
AHRQ HHS R18 HS018161AHRQ HHS R18-HS018161PHS HHS T32HP10251
6 · The paper itself

Abstract

backgroundImproving colorectal cancer (CRC) screening rates for patients from socioeconomically disadvantaged backgrounds is a recognized public health priority.

objectiveOur aim was to determine if implementation of a system-wide screening intervention could reduce disparities in the setting of improved overall screening rates.

designThis was an interrupted time series (ITS) analysis before and after a population management intervention.

participantsPatients eligible for CRC screening (age 52-75 years without prior total colectomy) in an 18-practice research network from 15 June 2009 to 15 June 2012 participated in the study.

interventionThe Technology for Optimizing Population Care (TopCare) intervention electronically identified patients overdue for screening and facilitated contact by letter or telephone scheduler, with or without physician involvement. Patients identified by algorithm as high risk for non-completion entered into intensive patient navigation. MAIN MEASURES: Patients were dichotomized as ≤ high school diploma (≤ HS), an indicator of socioeconomic disadvantage, vs. >HS diploma (> HS). The monthly disparity between ≤ HS and > HS with regard to CRC screening completion was examined. KEY

resultsAt baseline, 72% of 47,447 eligible patients had completed screening, compared with 75% of 51,442 eligible patients at the end of follow-up (p < 0.001). CRC screening completion was lower in ≤ HS vs. >HS patients in June 2009 (65.7% vs. 74.5%, p < 0.001) and remained lower in June 2012 (69.4% vs. 76.7%, p < 0.001). In the ITS analysis, which accounts for secular trends, TopCare was associated with a significant decrease in the CRC screening disparity (0.7%, p < 0.001). The effect of TopCare represents approximately 99 additional ≤ HS patients screened above prevailing trends, or 26 life-years gained had these patients remained unscreened.

conclusionsA multifaceted population management intervention sensitive to the needs of vulnerable patients modestly narrowed disparities in CRC screening, while also increasing overall screening rates. Embedding interventions for vulnerable patients within larger population management systems represents an effective approach to increasing overall quality of care while also decreasing disparities.

Indexed as

AgedColorectal NeoplasmsEarly Detection of CancerEducational StatusFemaleHealthcare DisparitiesHealth Services ResearchHumansMaleMassachusettsMiddle AgedPatient Acceptance of Health CarePublic Health AdministrationQuality ImprovementSocioeconomic FactorsVulnerable Populations

Identifiers

PMID25678378
PMCPMC4471039
OpenAlexW2008745055

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.