Evidence map›Paper›PMID 31723504›Full record

ArticleCureus2019

Characteristics of Health-related Text Messages Preferred by Medically Underserved African-American Patients with Diabetes.

Aniekan N Udoko, Joyce Graff, Samantha Ransone, Mace Coday, Justin D Gatwood, James E Bailey

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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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.

Aniekan N UdokoPediatrics, University of Tennessee Health Science Center, Memphis, USA.
Joyce GraffPediatrics, University of Tennessee Health Science Center, Memphis, USA.
Samantha RansonePediatrics, St. Jude Children's Research Hospital, Memphis, USA.
Mace CodayPreventive Medicine, University of Tennessee Health Science Center, Memphis, USA.
Justin D GatwoodPharmacy, University of Tennessee Health Science Center, Nashville, USA.
James E BaileyInternal Medicine, University of Tennessee Health Science Center, Memphis, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Text messaging (TM) is increasingly used by the U.S. medical practices and healthcare delivery systems, but little is known about preferences of medically underserved minority patients for TM supporting improved self-care decisions. We sought to determine the characteristics of text messages and TM programs preferred by African-American patients with diabetes in medically underserved areas. Methods This convergent mixed methods study employed a self-administered survey and focus group interviews. Quantitative and qualitative data were collected simultaneously, analyzed separately, and merged to provide a holistic view of the TM characteristics patients preferred. Participants (N = 36) were recruited from a medically underserved area in Memphis, Tennessee. Focus group data were uploaded into the NVivo qualitative data analysis software program, and main themes were identified. Standard frequencies were calculated for survey responses. Results Participants ranged in the age of 22-74 years (M = 54.1; SD = 14.6) were predominantly female (77.8%), African-Americans (88.9%), and had at least a high school education (91.7%). A majority used mobile phones for sending (69.4%) and receiving (72.2%) text messages. Participants wanted to receive daily (44.4%) or weekly (47.2%) text messages from their healthcare provider (61.1%), or a motivational message program (33.3%). They preferred actionable messages with a positive tone and wanted options to customize message type, content, and frequency according to their preferences, goals, and needs. Discussion Medically underserved African-American diabetes patients want customized text messages that are practical, actionable, encouraging, and from their doctor. Healthcare providers seeking to develop patient-centered TM programs for medically underserved minority patients should personalize and tailor messages according to patient preferences, health goals, and self-care needs.

Indexed as

african americansculturally appropriate technologydiabetesfocus groupsmedically underserved areasprimary carequalitative researchself-managementtext messaging

Identifiers

PMID31723504
PMCPMC6825447

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.