Evidence map›Paper›PMID 31363427›Full record

ArticleCureus2019

A Proof of Concept Study Demonstrating the Feasibility of a Text Message Prompt for Hepatitis C Testing in the 1945-1965 Birth Cohort.

Rebecca J Fisk, Disha Kumar, John B Kellogg, Daniel R Murphy, Kristen A Staggers, Monisha Arya

Abstract read
In one paragraph

Article in Cureus, 2019. 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

6 authors.

Rebecca J FiskEpidemiology and Public Health, University of Texas Health Science Center at Houston School of Public Health, Houston, USA.
Disha KumarMiscellaneous, Baylor College of Medicine, Houston, USA.
John B KelloggMiscellaneous, Baylor College of Medicine, Houston, USA.
Daniel R MurphyInternal Medicine, Baylor College of Medicine, Houston, USA.
Kristen A StaggersNeurosurgery, Baylor College of Medicine, Houston, USA.
Monisha AryaInternal Medicine, Baylor College of Medicine, Houston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose Despite national recommendations stating all individuals in the 1945-1965 "birth cohort" be tested for hepatitis C virus (HCV), testing rates remain low. The purpose of this proof of concept study was to assess the feasibility of text messaging to promote HCV testing among birth cohort patients. Methods Participants were assigned to receive a text message to promote HCV testing, or a general health message as a control. Participants were sent the message immediately prior to an upcoming appointment. Patients not enrolled in the study were in the standard-of-care group. To assess the impact of the text on HCV test orders on the appointment date participant charts were reviewed. Results The sample was largely non-Hispanic, Caucasian, and female. Of participants sent the HCV message (n = 22), 50.0% had a test ordered, compared to 41.7% and 27.5% in the control (n = 13) and standard-of-care groups (n = 69), respectively. Conclusion This proof of concept study demonstrated the feasibility of text messaging to promote HCV testing among birth cohort patients. Those receiving the HCV message were more likely to have an HCV test ordered compared to those who received no message, although this difference was not statistically significant. A larger study is needed to confirm these results.

Indexed as

hepatitis chepatitis c viruspatient educationscreeningtesting

Identifiers

PMID31363427
PMCPMC6663280

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.