Evidence map›Paper›PMID 41798265›Full record

ArticleMDM policy & practice

Implementing a Colorectal Cancer Screening Decision Aid via Text Messaging in a Large Massachusetts Health Care System.

Kim Ariyabuddhiphongs, Timothy Carey, Emily A Wolfson, Spencer Rittner, Jonathan Li, Maëlys Amat, Mara A Schonberg

Abstract read
In one paragraph

Article in MDM policy & practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kim AriyabuddhiphongsDivision of General Medicine, Department of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Timothy CareyDivision of General Medicine, Department of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Emily A WolfsonDivision of General Medicine, Department of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Spencer RittnerDepartment of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Jonathan LiDivision of General Medicine, Department of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Maëlys AmatDivision of General Medicine, Department of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Mara A SchonbergDivision of General Medicine, Department of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.ORCID https://orcid.org/0000-0001-5162-5922

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highlights: It is feasible for large health systems to automatize text messaging of colorectal cancer (CRC) screening decision aids (DAs) to patients due for CRC screening before a visit with their primary care practitioner.Patients who review a texted CRC screening DA report higher shared decision-making quality and knowledge about CRC screening.Use of CRC DAs may decrease screening via colonoscopy but not overall screening rates.A more intensive intervention than text messaging is likely needed to increase the number of patients who review a CRC screening DA.

Indexed as

colorectal cancer screeningdecision aidimplementationtext messaging

Identifiers

PMID41798265
PMCPMC12966531

What OpenQuestion holds

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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.