Technical Requirements, Design, and Automation Process for a Statewide Registry-Based Tailored Text Messaging System: Protocol for a Longitudinal Observational Study Article Swipe
Deborah Ogunsanmi
,
J. Chambers
,
Asos Mahmood
,
Avinash Reddy Pakker
,
Anusha Kompalli
,
Umar Kabir
,
Satya Surbhi
,
Justin Gatwood
,
Md Sultan Mahmud
,
James E. Bailey
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2196/62874
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2196/62874
Background Tailored 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. Objective This 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. Methods Patients 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. Results Since 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. Conclusions The 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
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2196/62874
- OA Status
- gold
- Cited By
- 1
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407372462
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407372462Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2196/62874Digital Object Identifier
- Title
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Technical Requirements, Design, and Automation Process for a Statewide Registry-Based Tailored Text Messaging System: Protocol for a Longitudinal Observational StudyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-11Full publication date if available
- Authors
-
Deborah Ogunsanmi, J. Chambers, Asos Mahmood, Avinash Reddy Pakker, Anusha Kompalli, Umar Kabir, Satya Surbhi, Justin Gatwood, Md Sultan Mahmud, James E. BaileyList of authors in order
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https://doi.org/10.2196/62874Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.2196/62874Direct OA link when available
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Preprint, Protocol (science), Computer science, Process (computing), Multimedia, World Wide Web, Medicine, Operating system, Pathology, Alternative medicineTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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32Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.self-care. | 223 |
| abstract_inverted_index.strategies | 328 |
| abstract_inverted_index.text-based | 211 |
| abstract_inverted_index.ubiquitous | 28 |
| abstract_inverted_index.Conclusions | 344 |
| abstract_inverted_index.conditions. | 25, 375 |
| abstract_inverted_index.effectively | 13 |
| abstract_inverted_index.feasibility | 83 |
| abstract_inverted_index.implemented | 286 |
| abstract_inverted_index.improvement | 221 |
| abstract_inverted_index.information | 234 |
| abstract_inverted_index.populations | 52, 99 |
| abstract_inverted_index.Participants | 224 |
| abstract_inverted_index.intervention | 9, 218, 248, 354 |
| abstract_inverted_index.longitudinal | 76 |
| abstract_inverted_index.participants | 183, 208, 239 |
| abstract_inverted_index.personalized | 92 |
| abstract_inverted_index.preferences. | 236 |
| abstract_inverted_index.replication. | 361 |
| abstract_inverted_index.(n=137/5228), | 318 |
| abstract_inverted_index.International | 376 |
| abstract_inverted_index.approximately | 314 |
| abstract_inverted_index.architectural | 127 |
| abstract_inverted_index.collaboration | 330 |
| abstract_inverted_index.disseminating | 46, 91 |
| abstract_inverted_index.dissemination | 358 |
| abstract_inverted_index.observational | 77 |
| abstract_inverted_index.requirements, | 126 |
| abstract_inverted_index.respectively. | 322 |
| abstract_inverted_index.(n=350/13461), | 321 |
| abstract_inverted_index.cardiovascular | 103, 143 |
| abstract_inverted_index.participation. | 343 |
| abstract_inverted_index.registry-based | 108 |
| abstract_inverted_index.cardiometabolic | 24 |
| abstract_inverted_index.implementation. | 65, 136 |
| abstract_inverted_index.DERR1-10.2196/62874 | 381 |
| abstract_inverted_index.participant-selected | 196 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| citation_normalized_percentile.value | 0.9028777 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |