Evidence map›Paper›PMID 36649056›Full record

ArticleJMIR formative research2023

Patient Perspectives on a Targeted Text Messaging Campaign to Encourage Screening for Diabetes: Qualitative Study.

Kristin M Lenoir, Joanne C Sandberg, David P Miller, Brian J Wells

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 22% 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.

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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Kristin M LenoirDepartment of Biostatistics and Data Science, Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States.ORCID https://orcid.org/0000-0003-1834-7398
Joanne C SandbergDepartment of Family & Community Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States.ORCID https://orcid.org/0000-0001-6056-6186
David P MillerDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States.ORCID https://orcid.org/0000-0001-7879-4427
Brian J WellsDepartment of Biostatistics and Data Science, Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States.ORCID https://orcid.org/0000-0001-7310-6525
Wake Forest University · USUniversity of North Carolina at Charlotte · US

Funding

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 Direct-to-Patient Alert for Glycated Hemoglobin Screening Using Prediction Modeling and Mobile Health (mHealth)R21HS026803 · AHRQ · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WELLS, BRIAN JAY · 2019 to 2020
$296k
AHRQ HHS R21 HS026803NCATS NIH HHS UL1 TR001420
6 · The paper itself

Abstract

backgroundA sizeable proportion of prediabetes and diabetes cases among adults in the United States remain undiagnosed. Patient-facing clinical decision support (CDS) tools that leverage electronic health records (EHRs) have the potential to increase diabetes screening. Given the widespread mobile phone ownership across diverse groups, text messages present a viable mode for delivering alerts directly to patients. The use of unsolicited text messages to offer hemoglobin A

objectiveThis study aims to gauge the perceptions of and receptiveness to text messages to inform content that would facilitate engagement with text messages intended to initiate a mobile health (mHealth) intervention for targeted screening. Messages were designed to invite those not already diagnosed with diabetes to make a decision to take part in HbA

methodsIn total, 6 focus groups were conducted at Wake Forest Baptist Health (WFBH) between September 2019 and February 2020. The participants were adult patients without diabetes who had completed an in-person visit at the Family and Community Medicine Clinic within the previous year. We displayed a series of text messages and asked the participants to react to the message content and suggest improvements. Content was deductively coded with respect to the Health Belief Model (HBM) and inductively coded to identify other emergent themes that could potentially impact engagement with text messages.

resultsParticipants (N=36) were generally receptive to the idea of receiving a text-based alert for HbA

conclusionsOur findings suggest that patients may be receptive to text messages that alert them to a risk of having an elevated HbA

Indexed as

clinical decision supportdiabetesdiabetes screeningelectronic health recordsmHealthmHealth interventionmobile healthtext messaging

Identifiers

PMID36649056
PMCPMC9890353
OpenAlexW4312477235

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.