Evidence map›Paper›PMID 29532054›Full record

Trial reportAnnals of internal medicine2018

Effect of a Digital Health Intervention on Receipt of Colorectal Cancer Screening in Vulnerable Patients: A Randomized Controlled Trial.

David P Miller, Nancy Denizard-Thompson, Kathryn E Weaver, L Doug Case, Jennifer L Troyer, John G Spangler, Donna Lawler, Michael P Pignone

3 registry-linked trialsAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Annals of internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 44 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 8 pooled it
3.9field-weighted citation impact, top 4% 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.

NCT02088333 nacompletednot on this map

A Primary Care Multilevel mHealth Colorectal Cancer Screening (mCRC) Intervention

TypeinterventionalSponsorWake Forest University Health SciencesRan2014 to 2016Enrolled450ConditionsColorectal NeoplasmsArmsmCRC intervention, Healthy Lifestyles video
NCT03819920 nacompletednot on this map

Does Knowing One's Estimated Colorectal Cancer Risk Influence Screening Behavior?

TypeinterventionalSponsorStanford UniversityRan2015 to 2019Enrolled229ConditionsColorectal CancerArmsRisk Assessment (CCRAT), Usual Care (UC)
NCT04070456 nacompletednot on this mapstarted 2019, after this paper: background citation

Addressing Social Determinants of Health to Reduce Physician Burnout

TypeinterventionalSponsorWake Forest University Health SciencesRan2019 to 2021Enrolled34ConditionsBurnout, ProfessionalArmsTablet-based SDH tool
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 8 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
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  3. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024
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  5. Addressing Health Literacy in Patient Decision Aids: An Update from the International Patient Decision Aid Standards.Medical decision making : an international journal of the Society for Medical Decision Making · 2021
    Pooled it
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  9. Trial
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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.

David P MillerWake Forest School of Medicine, Winston-Salem, North Carolina (D.P.M., N.D., K.E.W., L.D.C., J.G.S., D.L.).
Nancy Denizard-ThompsonWake Forest School of Medicine, Winston-Salem, North Carolina (D.P.M., N.D., K.E.W., L.D.C., J.G.S., D.L.).
Kathryn E WeaverWake Forest School of Medicine, Winston-Salem, North Carolina (D.P.M., N.D., K.E.W., L.D.C., J.G.S., D.L.).
L Doug CaseWake Forest School of Medicine, Winston-Salem, North Carolina (D.P.M., N.D., K.E.W., L.D.C., J.G.S., D.L.).
Jennifer L TroyerBelk College of Business at University of North Carolina at Charlotte, Charlotte, North Carolina (J.L.T.).
John G SpanglerWake Forest School of Medicine, Winston-Salem, North Carolina (D.P.M., N.D., K.E.W., L.D.C., J.G.S., D.L.).
Donna LawlerWake Forest School of Medicine, Winston-Salem, North Carolina (D.P.M., N.D., K.E.W., L.D.C., J.G.S., D.L.).
Michael P PignoneUniversity of Texas Dell Medical School, Austin, Texas (M.P.P.).
Wake Forest University · USThe University of Texas at Austin · USUniversity of North Carolina at Charlotte · US

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
A Primary Care Multilevel mHealth Colorectal Cancer Screening (mCRC) InterventionR01CA178941 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MILLER, DAVID P · 2013 to 2016
$1.4M
NCATS NIH HHS UL1 TR001420NCI NIH HHS P30 CA012197NCI NIH HHS R01 CA178941
6 · The paper itself

Abstract

Background: Screening for colorectal cancer (CRC) reduces mortality, yet more than one third of age-eligible Americans are unscreened. Objective: To examine the effect of a digital health intervention, Mobile Patient Technology for Health-CRC (mPATH-CRC), on rates of CRC screening. Design: Randomized clinical trial. (ClinicalTrials.gov: NCT02088333). Setting: 6 community-based primary care practices. Participants: 450 patients (223 in the mPATH-CRC group and 227 in usual care) scheduled for a primary care visit and due for routine CRC screening. Intervention: An iPad application that displays a CRC screening decision aid, lets patients order their own screening tests, and sends automated follow-up electronic messages to support patients. Measurements: The primary outcome was chart-verified completion of CRC screening within 24 weeks. Secondary outcomes were ability to state a screening preference, intention to receive screening, screening discussions, and orders for screening tests. All outcome assessors were blinded to randomization. Results: Baseline characteristics were similar between groups; 37% of participants had limited health literacy, and 53% had annual incomes less than $20 000. Screening was completed by 30% of mPATH-CRC participants and 15% of those receiving usual care (logistic regression odds ratio, 2.5 [95% CI, 1.6 to 4.0]). Compared with usual care, more mPATH-CRC participants could state a screening preference, planned to be screened within 6 months, discussed screening with their provider, and had a screening test ordered. Half of mPATH-CRC participants (53%; 118 of 223) "self-ordered" a test via the program. Limitation: Participants were English speakers in a single health care system. Conclusion: A digital health intervention that allows patients to self-order tests can increase CRC screening. Future research should identify methods for implementing similar interventions in clinical care. Primary Funding Source: National Cancer Institute.

Indexed as

Mobile ApplicationsVulnerable PopulationsAgedColorectal NeoplasmsEarly Detection of CancerFemaleHumansMaleMass ScreeningMiddle AgedPrimary Health CareUnited States

Identifiers

PMID29532054
PMCPMC6033519
OpenAlexW2791719010

What OpenQuestion holds

Textmetadata
LicenceTDM
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.