Evidence map›Paper›PMID 41474717›Full record

ArticlePLOS digital health2025

Interaction with SMS text-reminders correlate with improved medication adherence and readmission rates for congestive heart failure patients: A retrospective cohort study.

Ben Long, Brian Davis, Rebekah McPheters, Steven Burton, Nabeel Hamoud, Dan Garmat, Suzanne Catalfomo, Fei Li, Ying Zhou, Yan L Zhuang and 2 more

Abstract read
In one paragraph

Article in PLOS digital health, 2025. 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

12 authors.

Ben LongDepartment of Internal Medicine, Magnolia Regional Health Center, Corinth, Mississippi, United States of America.
Brian DavisDepartment of Internal Medicine, Magnolia Regional Health Center, Corinth, Mississippi, United States of America.
Rebekah McPhetersDepartment of Internal Medicine, Magnolia Regional Health Center, Corinth, Mississippi, United States of America.
Steven BurtonDepartment of Internal Medicine, Magnolia Regional Health Center, Corinth, Mississippi, United States of America.
Nabeel HamoudDepartment of Applied Clinical Research, DrFirst, Rockville, Maryland, United States of America.
Dan GarmatDepartment of Applied Clinical Research, DrFirst, Rockville, Maryland, United States of America.
Suzanne CatalfomoDepartment of Applied Clinical Research, DrFirst, Rockville, Maryland, United States of America.
Fei LiDepartment of Applied Clinical Research, DrFirst, Rockville, Maryland, United States of America.
Ying ZhouDepartment of Applied Clinical Research, DrFirst, Rockville, Maryland, United States of America.
Yan L ZhuangDepartment of Applied Clinical Research, DrFirst, Rockville, Maryland, United States of America.
Colin A BanasDepartment of Applied Clinical Research, DrFirst, Rockville, Maryland, United States of America.
Weston W BlakesleeDepartment of Applied Clinical Research, DrFirst, Rockville, Maryland, United States of America.ORCID https://orcid.org/0000-0001-6218-6750

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short message service text reminders (SMS nudges) aimed to help vulnerable patient populations remember to fill their prescriptions are becoming more common but accurately measuring their effects on improving prescription fill and readmission rates remains challenging. Patients who presented to the emergency department (ED) with a primary diagnosis of congestive heart failure (CHF) were included in the study. We conducted a retrospective cohort study of CHF patients who did and did not interact with SMS nudges, then matched patients who were prescribed medications at any point in their hospital visit with records of subsequent prescription fills. Patients that interacted with SMS nudges had 19% higher odds of filling prescriptions overall (1.19 OR (95% CI: 1.15 - 1.24), p < 0.001) and 6% lower odds of being readmitted to the hospital (0.94 (95% CI: 0.9 - 0.99), p = 0.009) than patients who did not interact with SMS nudges. Interactive SMS nudges via a novel tool may improve prescription fill rates across multiple groups of CHF patients, and contribute to a reduction in readmissions.

Identifiers

PMID41474717
PMCPMC12755802

What Socratic 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 Socratic graph.