Evidence map›Paper›PMID 39607386›Full record

ArticleJMIR diabetes2024

Impact of a Text Messaging Intervention as an In-Between Support to Diabetes Group Visits in Federally Qualified Health Centers: Cluster Randomized Controlled Study.

Allie Z Yan, Erin M Staab, Daisy Nuñez, Mengqi Zhu, Wen Wan, Cynthia T Schaefer, Amanda Campbell, Michael T Quinn, Arshiya A Baig

Abstract read
In one paragraph

Article in JMIR diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Allie Z YanPritzker School of Medicine, University of Chicago, Chicago, IL, United States.ORCID http://orcid.org/0009-0005-0422-2473
Erin M StaabDepartment of Medicine, University of Chicago, Chicago, IL, United States.ORCID http://orcid.org/0000-0001-7326-8946
Daisy NuñezDepartment of Medicine, University of Chicago, Chicago, IL, United States.ORCID http://orcid.org/0009-0007-6850-0393
Mengqi ZhuDepartment of Medicine, University of Chicago, Chicago, IL, United States.ORCID http://orcid.org/0000-0001-5733-8131
Wen WanDepartment of Medicine, University of Chicago, Chicago, IL, United States.ORCID http://orcid.org/0000-0002-7464-6563
Cynthia T SchaeferMidwest Clinicians' Network, East Lansing, MI, United States.ORCID http://orcid.org/0000-0002-3115-3224
Amanda CampbellMidwest Clinicians' Network, East Lansing, MI, United States.ORCID http://orcid.org/0009-0005-3847-7511
Michael T QuinnDepartment of Medicine, University of Chicago, Chicago, IL, United States.ORCID http://orcid.org/0000-0001-5643-1764
Arshiya A BaigDepartment of Medicine, University of Chicago, Chicago, IL, United States.ORCID http://orcid.org/0000-0003-3368-9054

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI ELBERT S. HUANG · 2011 to 2026
$10.0M
NCATS NIH HHS UL1 TR000430NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

Background: In the United States, 1 in 11 people receive primary care from a federally qualified health center (FQHC). Text messaging interventions (TMIs) are accessible ways to deliver health information, engage patients, and improve health outcomes in the health center setting. Objective: We aimed to evaluate the impact of a TMI implemented with a group visit (GV) intervention among patients with type 2 diabetes mellitus (T2DM) at FQHCs on patient-reported outcomes and clinical outcomes based on patient TMI engagement. Methods: A TMI was implemented for 11 health centers participating in a cluster randomized study of diabetes GVs in Midwestern FQHCs targeting adults with T2DM. FQHC patients participated in 6 monthly GVs either in person or online and a concurrent 25-week TMI. Outcome measures included clinical markers such as glycated hemoglobin A1c and patient-reported diabetes distress, diabetes self-care, diabetes self-efficacy, diabetes care knowledge, diabetes quality of life, diabetes social support, and TMI use and satisfaction. TMI response rate was calculated as responses to an SMS text message requesting a response divided by total messages requesting a response sent. Patients were grouped as high responders if their response rate was greater than or equal to the median response rate and low responders if their response rate was below the median. We conducted linear mixed models to compare high and low responders and within a group, adjusting for age, gender, GV attendance, and depression/anxiety at baseline. Results: In total, 101 of 124 GV patients (81.5%) enrolled in the TMI. The average age of the population in the TMI was 53 years. Of the 101 respondents, 61 (60%) were racial or ethnic minorities, while 42 of 82 respondents (51%) had a high school diploma/General Education Development or less, and 56 of 80 respondents (71%) reported an annual income less than US $30,000. In addition, 70 of 81 respondents (86%) owned a smartphone and 74 of 80 respondents (93%) had an unlimited texting plan. The median response rate was 41% and the mean response rate was 41.6%. Adjusted models showed significantly improved diabetes knowledge (P<.001), foot care (P<.001), and exercise (P=.002) in high responders (n=34) compared to low responders (n=23) at 6 months. No group difference was found in glycated hemoglobin A1c. Within high responders, diabetes distress (P=.001), social support (P<.001), quality of life (P<.001), diabetes knowledge (P<.001), foot care (P<.001), and diet (P=.003) improved from baseline to 6 months. Low responders only improved in diabetes quality of life (P=.003) from baseline to 6 months. Conclusions: In a FQHC safety net population participating in a combined TMI and GV intervention, our study showed improved diabetes distress, social support, knowledge, self-care, self-efficacy, and quality of life among patients highly engaged in the SMS text messaging program.

Indexed as

diabetesdiabetes mellitusdigital healthdigital interventiondigital technologyfederally qualified health centerFQHCmHealthmobile healthmobile phonetextingtext messagetext messagingtext messaging interventiontype 2 diabetes

Identifiers

PMID39607386
PMCPMC11619185

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.