Population health interventions to improve colorectal cancer screening by fecal immunochemical tests: A systematic review.

Colorectal cancer Electronic health records Fecal immunochemical test Interventions Population management Screening Systematic review

Journal

Preventive medicine
ISSN: 1096-0260
Titre abrégé: Prev Med
Pays: United States
ID NLM: 0322116

Informations de publication

Date de publication:
01 2019
Historique:
received: 10 06 2018
revised: 07 09 2018
accepted: 20 10 2018
pubmed: 28 10 2018
medline: 14 2 2020
entrez: 28 10 2018
Statut: ppublish

Résumé

Despite clear evidence that colorectal cancer (CRC) screening reduces mortality, screening, including fecal immunochemical tests (FIT), is underutilized. We conducted a systematic review to determine the evidence of efficacy of interventions to improve FIT completion that could be scaled and utilized in population health management. We systematically searched publication databases for studies evaluating provider- or system-level interventions to improve CRC screening by FIT between 1 January 1996 and 13 December 2017 without language restrictions. Twenty articles describing 25 studies were included, 23 were randomized controlled trials with 1 quasi-experimental and 1 observational study. Ten studies discussed mailed FIT outreach, 4 pre-FIT patient reminders, 3 tailored patient messages, 2 post-FIT reminders, 2 paired FIT with influenza vaccinations, 2 provider alerts and 1 study each described the use of high-quality small media and patient financial incentives. Mailed FIT outreach was consistently effective with median improvement in CRC screening of 21.5% (interquartile range (IQR) 13.6%-29.0%). FIT paired with vaccinations led to a median 15.9% (IQR 15.6%-16.3%) improvement, while pre-FIT and post-FIT reminders demonstrated modest efficacy with median 4.1% (IQR 3.6%-6.7%) and 3.1% (IQR 2.9%-3.3%) improvement in CRC screening, respectively. More than half the studies were at high or unclear risk of bias; heterogeneous study designs and characteristics precluded meta-analysis. FIT-based CRC screening programs utilizing multilevel interventions (e.g. mailed FIT outreach, FIT paired with other preventative services, and provider alerts) have the potential to significantly increase screening participation. However, such programs must also follow-up patients with abnormal FIT results.

Identifiants

pubmed: 30367972
pii: S0091-7435(18)30340-2
doi: 10.1016/j.ypmed.2018.10.021
pmc: PMC6322951
mid: NIHMS1510999
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

113-121

Subventions

Organisme : NIMHD NIH HHS
ID : L32 MD012892
Pays : United States
Organisme : NIDDK NIH HHS
ID : T32 DK007007
Pays : United States
Organisme : NCCDPHP CDC HHS
ID : U48 DP004998
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

Rachel B Issaka (RB)

Clinical Research & Public Health Sciences Divisions, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America; Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America; Division of Gastroenterology, University of Washington School of Medicine, Seattle, WA, United States of America. Electronic address: rissaka@fredhutch.org.

Patrick Avila (P)

Division of Gastroenterology, University of California, San Francisco, San Francisco, CA, United States of America.

Evans Whitaker (E)

University of California San Francisco Medical Library, University of California, San Francisco, San Francisco, CA, United States of America.

Stephen Bent (S)

Department of Medicine, University of California, San Francisco, San Francisco, CA, United States of America.

Ma Somsouk (M)

Division of Gastroenterology, University of California, San Francisco, San Francisco, CA, United States of America; Center for Vulnerable Populations, University of California, San Francisco, San Francisco, CA, United States of America.

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Classifications MeSH