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Unpacking the lived experiences of smartwatch mediated self and co-regulation with ADHD children. In proceedings of the 2023 CHI conference on human factors in computing systems

Citation
Lucas M. Silva, Franceli L. Cibrian, Elissa Monteiro, Arpita Bhattacharya, Jesus A. Beltran, Clarisse Bonang, Daniel A. Epstein, Sabrina E. B. Schuck, Kimberley D. Lakes, and Gillian R. Hayes. 2023. Unpacking the lived experiences of smartwatch mediated self and co-regulation with ADHD children. In proceedings of the 2023 CHI conference on human factors in computing systems (CHI '23), April 23–28, 2023, Hamburg, Germany. ACM, New York, NY, USA 19 Pages. https://doi.org/10.1145/3544548.3581316
Principal Investigator
Lakes, Kimberley
Project Name
The CoolCraig App: Promoting Health by Improving Self-Regulation in Adolescents with ADHD

The relationship between depressive symptoms, eHealth literacy, and asthma outcomes in the context of a mobile health intervention.

Citation
Silverstein GD, Styke SC, Kaur S, Singh A, Green S, Jariwala SP, Feldman J. The relationship between depressive symptoms, eHealth literacy, and asthma outcomes in the context of a mobile health intervention. Psychosom Med. 2023 Jan 27. doi: 10.1097/PSY.0000000000001170. Epub ahead of print. PMID: 36799736.
Principal Investigator
Jariwala, Sunit
Project Name
Adapting, Scaling, and Spreading an Algorithmic Asthma Mobile Intervention to Promote Patient-Reported Outcomes Within Primary Care Settings

ACHIEVE: Successfully Achieving and Maintaining Euglycemia During Pregnancy for Type 2 Diabetes Through Technology and Coaching

Description

To assist pregnant individuals with pre-pregnancy type 2 diabetes with Medicaid coverage in reaching and maintaining normal blood sugars, this research will develop, test, and evaluate a digital health solution called ACHIEVE that includes a mobile health application, a provider dashboard, continuous glucose monitoring, and team-based coaching for medical needs and nonmedical health-related social needs.

Grant Number
R01 HS028822
Principal Investigator(s)
Fareed, Naleef
Joseph, Joshua J
Venkatesh, Kartik Kailas

Adapting, Scaling, and Spreading an Algorithmic Asthma Mobile Intervention to Promote Patient-Reported Outcomes Within Primary Care Settings - Final Report

Citation
Jariwala S. Adapting, Scaling, and Spreading an Algorithmic Asthma Mobile Intervention to Promote Patient-Reported Outcomes Within Primary Care Settings - Final Report. (Prepared by Albert Einstein College of Medicine under Grant No. R18 HS025645). Rockville, MD: Agency for Healthcare Research and Quality, 2022.
Principal Investigator
Jariwala, Sunit
Project Name
Adapting, Scaling, and Spreading an Algorithmic Asthma Mobile Intervention to Promote Patient-Reported Outcomes Within Primary Care Settings

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)

Optimizing Acute Post-Operative Dental Pain Management Using New Health Information Technology - Final Report

Citation
White J. Optimizing Acute Post-Operative Dental Pain Management Using New Health Information Technology- Final Report. (Prepared by the University of California, San Francisco under Grant No. U18 HS026135. Rockville, MD: Agency for Healthcare Research and Quality, 2022.
Principal Investigator
White, Joel
Project Name
Optimizing Acute Post-Operative Dental Pain Management Using New Health Information Technology

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)

Family input for quality and safety (FIQS): Using mobile technology for in-hospital reporting from families and patients.

Citation
Bardach NS, Stotts JR, Fiore DM, Sarkar U, Sharma AE, Boscardin WJ, Avina L, Peralta-Neel C, Rosenbluth G. Family input for quality and safety (FIQS): Using mobile technology for in-hospital reporting from families and patients. J Hosp Med. 2022 Jun;17(6):456-465. doi: 10.1002/jhm.2777. Epub 2022 Feb 4. PMID: 35535946.
Principal Investigator
Bardach, Naomi S.
Project Name
Novel IT To Create Patient-Integrated Quality Improvement

Psychometric evaluation of the screener for intensifying community referrals for health.

Citation
Guo JW, Wallace AS, Luther BL, Wong B. Psychometric evaluation of the screener for intensifying community referrals for health. Eval Health Prof. 2021 Jul 8:1632787211029360. doi: 10.1177/01632787211029360. Epub ahead of print. PMID: 34235988; PMCID: PMC8741833.
Principal Investigator
Wallace, Andrea
Project Name
From Emergency to Community: Implementing a Social Needs Assessment and Referral Infrastructure Using Health Information Technology