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Current Research Portfolio

Smoking Cessation

  • Smoker-to-Smoker Peer Marketing and Messaging to Disseminate Tobacco Interventions (PCORI CDR-1603-34645), 03/13/2017-02/28/2022

    Program: Smoking Cessation

    The Smoker-to-Smoker Peer Marketing and Messaging to Disseminate Tobacco Intervention project is led by Dr. Rajani Sadasivam. Using a 2×2 factorial design, S2S will test two smoker-driven, social marketing innovations to recruit and engage smokers in Decide2Quit.org (Decide2Quit), an evidence-based, effective "Digital Intervention for Smoking Cessation" (DISC).

  • mHealth Messaging to Motivate Quitline Use and Quitting (NCI – Fogarty 1R01TW010647), 08/22/2017-03/31/2023

    Program: Smoking Cessation

    The mHealth Messaging to Motivate Quitline Use and Quitting (M2Q2) research project is led by Dr. Rajani Sadasivam in collaboration with researchers at the Institute of Population, Health and Development (PHAD) in Vietnam. The research focuses on a mobile health intervention among men and women smokers in Vietnam's Red River Delta region. The goal of M2Q2 is to increase the use of the Bach Mai Quitline, thus increasing access to counseling services and nicotine replacement therapy, and motivate smokers with tailored messages to promote cessation among current tobacco users in Vietnam.

  • SCH: INT: Collaborative Research: Enhancing Context Awareness and Personalization for Intensively Adaptive Smoking Cessation Messaging Interventions (NSF 1722708), 10/01/2017-09/30/2022

    Program: Smoking Cessation

    To provide effective, personalized smoking cessation interventions, this research, led by Dr. Rajani Sadasivam, will develop and evaluate the models, algorithms, and wearable-phone-cloud computational infrastructures required to support the context inferences personalization, and delivery timing optimizations required. Starting from the team's extensive prior work, this research will contribute to (1) advances in mobile health sensing and context inference with low-cost, low-power sensors; (2) advances in real-time, stream-based active learning for personalizing context inference models; (3) advances in contextualized recommender systems to personalize message selection based on inferred contexts; and (4) advances in robust, real-time wearable-phone-cloud data analytics systems. This work will also make substantial contributions to enhancing research infrastructure through open-source software releases that the research community can leverage to yield benefits in other high-profile health areas, including heart disease, obesity, and addiction.

  • mHealth Messaging to Motivate Quitline use and Quitting among Persons Living With HIV in Vietnam (NCI U01CA261604), 09/17/2021-08/31/2026

    Program: Smoking Cessation

    This research project, led by Drs. Hoa Nguyen and Rajani Sadasivam, is a randomized trial designed to develop a peer messaging and computer-tailored texting intervention to support smokers living with HIV in Vietnam to quit smoking. The project aims to adapt a current, effective peer messaging and computer-tailored texting intervention for PLWH smokers, to evaluate the effectiveness and process outcomes of the intervention, and, if proven to be effective, to integrate M2Q2-HIV project products into the Vietnamese clinical and public health infrastructure to continue promoting smoking cessation among PLWH smokers. This project is a collaboration between the University of Massachusetts Chan Medical School,  the Vietnam Ministry of Health - Vietnam Authority of HIV/AIDS Control, the Institute of Population, Health and Development (PHAD) in Vietnam.

  • Vaper to Vaper (V2V): A Multimodal Mobile Peer Driven Intervention to Support Adolescents in Quitting Vaping (NIDA R34DA050992), 05/15/2021-04/30/2023

    Program: Smoking Cessation

    The goal of this R34, led by Drs. Lori Pbert and Rajani Sadasivam, is to develop the Vaper-to-Vaper (V2V) multi-modal mobile peer-driven intervention to assist adolescent e-cigarette users in quitting. The V2V components will include 1) Peer messaging (tailored messages pushed via texting), 2) Peer coaching (asynchronous communications with trained coaches via texting), and 3) and Gamification (using game design to motivate participation).

  • Adapt2Quit – A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged smokers (NCI 1R01CA240551-01A1), 04/16/2020-03/31/2025

    Program: Smoking Cessation

    Adapt2Quit — an innovative motivational texting "recommender system" – is led by Dr. Rajani Sadasivam. Adapt2Quit enhances tailored motivational messaging systems using machine-learning algorithms to learn from and adapt user feedback (prior and daily message ratings), increasing personal message relevance. This research project will test Adapt2Quit motivational messaging texting with socio-economically disadvantaged (SED) smokers.

Cancer Control and Prevention

  • ActivityLink: Clinic-to-Community Physical Activity Referrals for Cardiovascular Disease Risk Reduction in Cancer Survivors (MCCISS K12HL138049), 09/05/2017-08/31/2022

    Program: Cancer Control and Prevention

    ActivityLink, led by Dr. Jamie Faro, is a clinic-delivered implementation program providing electronic referrals to cancer survivors to in-person or virtual physical activity programs. Cancer survivors are at higher risk of cardiovascular disease, and increasing physical activity levels is associated with reducing this risk. The first aim of this project is to develop the implementation program, conduct usability testing, and refine the program to be integrated into clinical workflow. The second aim is to beta-test ActivityLink in two waves of Plan, Do, Study, Act (PDSA) Cycles, with iterative refinements to the program after each cycle. 

  • iDAPT: Implementation & Informatics Developing Adaptable Processes and Technologies for Cancer Control (NCI P50CA244693), 09/18/2019-08/31/2024

    Program: Cancer Control and Prevention

    The iDAPT Developing Cancer Center (Award Number: P50CA244693) is part of a newly formed national network of collaborative research centers, funded by the National Cancer Institute and supported through the Beau Biden Cancer Moonshot SM Initiative.  The iDAPT Developing Cancer Center, led by Drs. Kristie Foley and Thomas Houston from the Wake Forest School of Medicine and Dr. Sarah Cutrona from the University of Massachusetts Chan Medical School is a Developing Implementation Science Center for Cancer Control that will use technologies to support rapid cycle and real-time deployment and testing implementation processes and adaptations within cancer control. The iDAPT team focuses on building capacity among primary care and oncology partners to engage in implementation science in cancer control and to conduct pilot studies aligned with iDAPT's theme.

  • ActivityChoice: A clinic-delivered implementation program to increase physical activity and decrease cardiovascular disease risk amongst cancer survivors.” (NHLBI K01HL163254), 12/13/2022-11/30/2026

    Program: Cancer Control and Prevention

    The goal of ActivityChoice, led by Dr. Jamie Faro, is to develop and pilot test a clinic-based implementation program using patient narrative decision aids to support choices to a group in-person, group virtual, or self-monitored digital health physical activity program.

Diabetes

  • Diabetes Mellitus program using Behavioral economics to Optimize Outreach and Self-management support with Technology (UMCCTS KL2TR001455), 07/01/2019-06/30/2021

    Program: Diabetes

    DM-BOOST, led by Dr. Daniel Amante, uses clinical informatics tools to identify types of patients with gaps in diabetes care and deploy tailored, proactive outreach methods rooted in behavioral economics to nudge them towards increased engagement with diabetes self-management training and leverage patient-facing technologies to enhance longitudinal patient self-management support.

AI Informatics in Healthcare

  • EHR Anticoagulants Pharmacovigilance (UML/NIH 5 R01 HL125089), 12/01/2014-11/30/2019

    Program: AI Informatics in Healthcare

    Optimal use of anticoagulants requires accurate and timely detection of their ADEs from electronic health records (EHRs). However, many ADEs are documented in unstructured clinical notes, which are not readily available for downstream analysis. The objectives for this study are to develop "intelligent" natural language processing (NLP) approaches to extract diseases, symptoms, medications, and their relationships (indicating ADE events) from clinical notes, and then evaluate extracted ADEs for detecting known ADE types as well as novel ADEs whose pattern or effect have not been previously identified. Dr. Feifan Liu is the subaward PI on this project.

Veterans Health

  • DEI Summer Research Program (HSR&D DEI SRP-019-22S), 05/01/2022-09/30/2024

    Program: Veterans Health

    The goal of the DEI Summer Research Program, led by Dr. Kristin Mattocks, is to train a new generation of students from diverse backgrounds to better understand all aspects of maternal health for women Veterans.

  • Understanding Network Adequacy and Community Engagement in Veteran Care (HSR&D SDR 18-319), 10/01/2018-09/30/2022

    Program: Veterans Health

    This Service-Directed Research (SDR), led by Drs. Kristin Mattocks and Michelle Mengeling, aims to develop and validate standardized measures of network adequacy for Community Care that characterize strengths and weaknesses of local networks through a comprehensive evaluation of network adequacy for both primary and specialty Community Care.  We will also examine the process by which Community Care decisions are made at individual VA facilities, and to identify existing and potential opportunities to expand community partnerships to deliver Community Care.

  • Community Care Research Evaluation & Knowledge (CREEK) Central Hub (HSR&D SDR 20-218), 05/01/2020-09/30/2022

    Program: Veterans Health

    The goal of this project, led by Dr. Kristin Mattocks, is to foster collaboration and knowledge diffusion in Community Care research between VA investigators and VA Office of Community Care (OCC) in order to support the aims of both VA Community Care researchers and VA OCC leadership to develop high quality, useful information aligned with VA OCC policy and priorities

  • Engaging Veterans in Developing an Intervention to Address Racial Disparities in Cesarean Sections (VA HSR&D SDR 21-098), 01/01/2022-06/30/2023

    Program: Veterans Health

    This study, led by Dr. Kristin Mattocks, will conduct an in-depth examination among Veterans of color to better understand their recent cesarean deliveries, using semi-structured interviews and systematic obstetrical chart reviews to gain a full understanding of the circumstances that led to a cesarean section.