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This research will develop an information technology and implementation strategy for using patient-reported outcomes in primary care settings caring for diverse patients with multiple chronic conditions.
The project is adapting and scaling a technology-enabled practice model for asthma in a primary care setting, then evaluating its impact on patient-reported quality of life and utilization.
This project will evaluate the effects of a technology-based patient-reported outcomes system on patient management of type 2 diabetes in primary care practices.
This study will test the hypothesis that low-income, disadvantaged patients can provide high-quality patient-generated health data and patient-reported outcomes through commercial technologies, and that these data can be used to improve healthcare quality and delivery.
This project will develop and test a personalized motivational text messaging intervention to improve management of diabetes and depression in low-income populations.
This study will design a user-centered smartphone application linked to a smart pill box with the goal of improving medication adherence for people living with HIV.
This project will design and implement a care coordination system using a smartphone application that sends location-based alerts to care managers when high-risk patients receive care at a regional hospital or emergency room.
This project will implement and evaluate a previously developed, interactive, patient-centered discharge toolkit to improve the transition of care from the inpatient to outpatient settings.
This project developed and tested a smartphone application of an alcohol intervention for college freshmen and found that it worked as well as a traditional in-person approach.
The project team will develop a set of mHealth tools capable of collecting health behavior information and evaluate whether providing clinical feedback on these behaviors reduces obesity and improves health behaviors among at-risk families.