Text Messaging

Ratings and experiences in using a mobile application to increase physical activity among university students: Implications for future design.

Citation

Figueroa CA, Gomez-Pathak L, Khan I, Williams JJ, Lyles CR, Aguilera A. Ratings and experiences in using a mobile application to increase physical activity among university students: Implications for future design. Univers Access Inf Soc. 2023 Jan 5:1-10. doi: 10.1007/s10209-022-00962-z. Epub ahead of print. PMID: 36624825; PMCID: PMC9813455.

Principal Investigator

Aguilera, Adrian

Project Name

Improving Diabetes and Depression Self-management Via Adaptive Mobile Messaging

Analyzing user engagement within a patient-reported outcomes texting tool for diabetes management: Engagement phenotype study.

Citation

Mandal S, Belli HM, Cruz J, Mann D, Schoenthaler A. Analyzing user engagement within a patient-reported outcomes texting tool for diabetes management: Engagement phenotype study. JMIR Diabetes. 2022 Nov 14;7(4):e41140. doi: 10.2196/41140. PMID: 36374531; PMCID: PMC9706388.

Principal Investigator

Schoenthaler, Antoinette

Project Name

i-Matter: Investigating an mHealth Texting Tool for Embedding Patient-Reported Data into Diabetes Management

Engaging users in the design of an mHealth, text message-based intervention to increase physical activity at a safety-net health care system.

Citation

Avila-Garcia P, Hernandez-Ramos R, Nouri SS, Cemballi A, Sarkar U, Lyles CR, Aguilera A. Engaging users in the design of an mHealth, text message-based intervention to increase physical activity at a safety-net health care system. JAMIA Open. 2019 Oct 11;2(4):489-497. doi: 10.1093/jamiaopen/ooz049. PMID: 32025646; PMCID: PMC6994014.

Principal Investigator

Aguilera, Adrian

Project Name

Improving Diabetes and Depression Self-management Via Adaptive Mobile Messaging

Patient perspectives on a targeted text messaging campaign to encourage screening for diabetes: A qualitative study.

Citation

Lenoir KM, Sandberg JC, Miller DP, Wells BJ. Patient perspectives on a targeted text messaging campaign to encourage screening for diabetes: Qualitative study. JMIR Form Res. 2023 Jan 17;7:e41011. doi: 10.2196/41011. PMID: 36649056; PMCID: PMC9890353.

Principal Investigator

Wells, Brian J.

Project Name

A Direct-to-Patient Alert for Glycated Hemoglobin Screening Using Prediction Modeling and Mobile Health (mHealth)

A Direct-to-Patient Alert for Glycated Hemoglobin Screening Using Prediction Modeling and Mobile Health (mHealth) - Final Report

Citation

Wells B. A Direct-to-Patient Alert for Glycated Hemoglobin Screening Using Prediction Modeling and Mobile Health (mHealth) - Final Report. (Prepared by the Wake Forest University School of Medicine under Grant No. R21 HS026803). Rockville, MD: Agency for Healthcare Research and Quality, 2022.

Principal Investigator

Wells, Brian J.

Project Name

A Direct-to-Patient Alert for Glycated Hemoglobin Screening Using Prediction Modeling and Mobile Health (mHealth)

Personalized reminders for immunization using short messaging systems to improve human papillomavirus vaccination series completion: Parallel-group randomized trial.

Citation

Wynn CS, Catallozzi M, Kolff CA, Holleran S, Meyer D, Ramakrishnan R, Stockwell MS. Personalized reminders for immunization using short messaging systems to improve human papillomavirus vaccination series completion: Parallel-group randomized trial. JMIR Mhealth Uhealth. 2021 Dec 27;9(12):e26356. doi: 10.2196/26356. PMID: 34958306; PMCID: PMC8749571.

Principal Investigator

Stockwell, Melissa S.

Project Name

PRISM: Personalized Reminders for Immunizations Using Short Messaging Systems

Daily motivational text messages to promote physical activity in university students: Results from a microrandomized trial.

Citation

Figueroa CA, Deliu N, Chakraborty B, Modiri A, Xu J, Aggarwal J, Jay Williams J, Lyles C, Aguilera A. Daily motivational text messages to promote physical activity in university students: Results from a microrandomized trial. Ann Behav Med. 2022 Feb 11;56(2):212-218. doi: 10.1093/abm/kaab028. PMID: 33871015.

Principal Investigator

Aguilera, Adrian

Project Name

Improving Diabetes and Depression Self-management Via Adaptive Mobile Messaging

Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions.

Citation

Figueroa CA, Aguilera A, Chakraborty B, Modiri A, Aggarwal J, Deliu N, Sarkar U, Jay Williams J, Lyles CR. Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions. J Am Med Inform Assoc. 2021 Jun 12;28(6):1225-1234. doi: 10.1093/jamia/ocab001. PMID: 33657217; PMCID: PMC8200266.

Principal Investigator

Aguilera, Adrian

Project Name

Improving Diabetes and Depression Self-management Via Adaptive Mobile Messaging

Developing messaging content for a physical activity smartphone app tailored to low-income patients: User-centered design and crowdsourcing approach.

Citation

Pathak LE, Aguilera A, Williams JJ, Lyles CR, Hernandez-Ramos R, Miramontes J, Cemballi AG, Figueroa CA. Developing messaging content for a physical activity smartphone app tailored to low-income patients: User-centered design and crowdsourcing approach. JMIR Mhealth Uhealth. 2021 May 19;9(5):e21177. doi: 10.2196/21177. PMID: 34009130; PMCID: PMC8173396.

Principal Investigator

Aguilera, Adrian

Project Name

Improving Diabetes and Depression Self-management Via Adaptive Mobile Messaging

Health Information Technology and Provider Communication

Description

This is a questionnaire designed to be completed by physicians, nurse practitioners, and physician assistants in a perioperative/operative and hospital setting. The tool includes questions to assess the current state of health information technology including clinical documentation, computerized provider order entry systems, clinical decision support systems, hardware, mobile devices, secure messaging, text messaging, and EHRs/EMR.

Year of Survey

2015