Individuals with Chronic Care Needs

A web-based decision aid (myAID) to enhance quality of life, empowerment, decision making, and disease control for patients with ulcerative colitis: protocol for a cluster randomized controlled trial.

Citation: 
Kim AH, Girgis A, Karimi N, Sechi AJ, Descallar J, Andrews JM, Siegel CA, Connor SJ. A web-based decision aid (myAID) to enhance quality of life, empowerment, decision making, and disease control for patients with ulcerative colitis: protocol for a cluster randomized controlled trial. JMIR Res Protoc. 2020 Jul 10;9(7):e15994. doi: 10.2196/15994. PMID: 32673257; PMCID: PMC7382012.
Principal Investigator: 
Siegel, Corey
Project Name: 
Evaluating a Prediction Tool and Decision Aid for Patients with Crohn's Disease

Investigation of a mobile health texting tool for embedding patient-reported data into diabetes management (i-Matter): development and usability study.

Citation: 
Schoenthaler A, Cruz J, Payano L, Rosado M, Labbe K, Johnson C, Gonzalez J, Patxot M, Patel S, Leven E, Mann D. Investigation of a mobile health texting tool for embedding patient-reported data into diabetes management (i-Matter): development and usability study. JMIR Form Res. 2020 Aug 31;4(8):e18554. doi: 10.2196/18554. PMID: 32865505; PMCID: PMC7490676.
Principal Investigator: 
Schoenthaler, Antoinette
Project Name: 
i-Matter: Investigating an mHealth Texting Tool for Embedding Patient-Reported Data into Diabetes Management

Protocol of the randomized control trial: the WiseApp trial for improving health outcomes in PLWH (WiseApp).

Citation: 
Flynn G, Jia H, Reynolds NR, Mohr DC, Schnall R. Protocol of the randomized control trial: the WiseApp trial for improving health outcomes in PLWH (WiseApp). BMC Public Health. 2020 Nov 25;20(1):1775. doi: 10.1186/s12889-020-09688-0. PMID: 33238931; PMCID: PMC7686828.
Principal Investigator: 
Schnall, Rebecca
Project Name: 
The Wise App Trial for Improving Health Outcomes in PLWH

Use of enhanced data visualization to improve patient judgments about hypertension control.

Citation: 
Shaffer VA, Wegier P, Valentine KD, Belden JL, Canfield SM, Popescu M, Steege LM, Jain A, Koopman RJ. Use of enhanced data visualization to improve patient judgments about hypertension control. Med Decis Making. 2020 Aug;40(6):785-796. doi: 10.1177/0272989X20940999. Epub 2020 Jul 22. PMID: 32696711; PMCID: PMC8100989.
Principal Investigator: 
Koopman, Richelle J.
Project Name: 
Optimizing Display of Blood Pressure Data To Support Clinical Decision

Patient decision-making personas: an application of a patient-centered cognitive task analysis (P-CTA).

Citation: 
Holden RJ, Daley CN, Mickelson RS, Bolchini D, Toscos T, Cornet VP, Miller A, Mirro MJ. Patient decision-making personas: an application of a patient-centered cognitive task analysis (P-CTA). Appl Ergon. 2020 Sep;87:103107. doi: 10.1016/j.apergo.2020.103107. Epub 2020 Apr 15. PMID: 32310109.
Principal Investigator: 
Holden, Richard
Project Name: 
Power to the Patient: Design and Test of Closed-Loop Interactive IT for Geriatric Heart Failure Self-Care

Untold Stories in User-centered design of mobile health: practical challenges and strategies learned from the design and evaluation of an app for older adults with heart failure.

Citation: 
Cornet VP, Toscos T, Bolchini D, Rohani Ghahari R, Ahmed R, Daley C, Mirro MJ, Holden RJ. Untold Stories in User-centered design of mobile health: practical challenges and strategies learned from the design and evaluation of an app for older adults with heart failure. JMIR Mhealth Uhealth. 2020 Jul 21;8(7):e17703. doi: 10.2196/17703. PMID: 32706745; PMCID: PMC7404009.
Principal Investigator: 
Holden, Richard
Project Name: 
Power to the Patient: Design and Test of Closed-Loop Interactive IT for Geriatric Heart Failure Self-Care

mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study.

Citation: 
Aguilera A, Figueroa CA, Hernandez-Ramos R, Sarkar U, Cemballi A, Gomez-Pathak L, Miramontes J, Yom-Tov E, Chakraborty B, Yan X, Xu J, Modiri A, Aggarwal J, Jay Williams J, Lyles CR. mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study. BMJ Open. 2020 Aug 20;10(8):e034723. doi: 10.1136/bmjopen-2019-034723. PMID: 32819981; PMCID: PMC7443305.
Principal Investigator: 
Aguilera, Adrian
Project Name: 
Improving Diabetes and Depression Self-management Via Adaptive Mobile Messaging

Implementing Personalized Cross-Sector Transitional Care Management to Promote Care Continuity, Reduce Low-Value Utilization, and Reduce the Burden of Treatment for High-Need, High-Cost Patients

Description: 

This research will integrate cross-sector care alerts and interoperable personalized care planning into the existing Coordinating Transitions Intervention (CTI) tool and evaluate the impact of the revised tool on patient burden, care team collaboration, and utilization value for high-need, high-cost patients.

Principal Investigator: 
Sharon Hewner
Project Dates: 
April 1, 2021 to March 31, 2026

Engaging Diverse Patients in Health Information Technology Use

Description: 

This is a questionnaire designed to be completed by individuals with chronic care needs in patient homes. The tool includes questions to assess the current state of patient portals, the internet, and mobile devices.

Year of Survey: 
2016

Breathe Michigan Screening Survey

Description: 
This is a questionnaire designed to be completed by African American adults with chronic care needs in patient homes. The tool includes questions to assess the current state of patient-generated health data.