Evidence map›Paper›PMID 40250839›Full record

ArticleJMIR research protocols2025

Technical Requirements, Design, and Automation Process for a Statewide Registry-Based Tailored Text Messaging System: Protocol for a Longitudinal Observational Study.

Deborah Ogunsanmi, Jerica Chambers, Asos Mahmood, Avinash Reddy Pakker, Anusha Kompalli, Umar Kabir, Satya Surbhi, Justin Gatwood, Md Sultan Mahmud, James E Bailey

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. 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. Trial
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

10 authors.

Deborah OgunsanmiCollege of Graduate Health Sciences, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0009-0008-5129-1051
Jerica ChambersCenter for Health System Improvement, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0009-0004-8805-3197
Asos MahmoodCenter for Health System Improvement, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0000-0002-2680-9110
Avinash Reddy PakkerCenter for Health System Improvement, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0009-0002-8810-9184
Anusha KompalliCenter for Health System Improvement, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0009-0009-2968-9503
Umar KabirCenter for Health System Improvement, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0000-0001-6128-0550
Satya SurbhiCenter for Health System Improvement, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0000-0001-9345-1684
Justin GatwoodTennessee Population Health Consortium, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0000-0002-4801-8555
Md Sultan MahmudCenter for Health System Improvement, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0000-0002-7361-122X
James E BaileyCenter for Health System Improvement, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID 0000-0002-9662-3338

Funding

AHRQ HHS U18 HS027952
6 · The paper itself

Abstract

backgroundTailored text messaging is a low-cost mobile health intervention approach shown to effectively improve self-care behaviors and clinical outcomes for patients with chronic cardiometabolic conditions. Given the ubiquitous nature of mobile phones, text messages have the potential to reach a large audience. However, automating and disseminating tailored text messages to large populations at low cost presents major logistical challenges that serve as barriers to implementation.

objectiveThis study aimed to describe the protocol for a longitudinal observational study designed to assess the feasibility of an innovative approach for automating and disseminating personalized and tailored text messages to large populations at risk of cardiovascular events using a low-cost registry-based tailored text messaging system known as the Heart Health Messages (HHM) program. Further, it describes the technical requirements, architectural design, automation process, and challenges associated with program implementation.

methodsPatients at high risk of cardiovascular diseases are identified using a statewide population health registry known as the Tennessee Population Data Network. Tailored invitation messages and enrollment surveys are sent to eligible patients via Twilio. Upon completion of the receipt of consent and enrollment forms, participants receive tailored text messages from a library of generic messages based on participant-selected frequency of message delivery (daily or every other day). In addition, participants receive monthly text-based check-in survey messages designed to assess intervention adherence and improvement in self-care. Participants are also sent quarterly follow-up surveys to update enrollment information and preferences. All enrolled participants will receive tailored text messages for a 12-month intervention period.

resultsSince the start of the program, 18,974 patients from 2 major health systems have met the inclusion criteria and were eligible for the HHM program. A total of 3 phases of HHM 1.0 have been implemented so far, reaching 225 eligible patients in phase 1, a total of 5288 patients in phase 2, and 13,461 patients in phase 3, with an enrollment of approximately 2% (n=4/225), 3% (n=137/5228), and 3% (n=350/13461), respectively. Efforts are underway to implement strategies in collaboration with the health systems to enhance the HHM program rollout and patient participation.

conclusionsThe HHM program is a low-cost tailored text messaging intervention set for broader dissemination and potential replication. The program has the capacity to improve outcomes for people with chronic medical conditions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/62874.

Indexed as

Cardiovascular DiseasesRegistriesText MessagingAutomationHumansLongitudinal StudiesObservational Studies as TopicSelf CareTelemedicinechronic diseaseclinical informaticselectronic health recordstelehealthtelemedicinetext messaging

Identifiers

PMID40250839
PMCPMC12048783

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.