Promotora assisted depression and self-care management among predominantly Latinos with concurrent chronic illness: Safety net care system clinical trial results | Contemporary Clinical Trials

Kathleen Ell, María P Aranda, Shinyi Wu, Hyunsung Oh, Pey-Jiuan Lee, Jeffrey Guterman

2017 The study evaluated depression and self-care management among patients with diabetes and/or heart disease in a 12-month randomized trial conducted in Los Angeles County Department of Health Services (LAC-DHS) community clinics. We compared LAC-DHS clinic usual care (UC) versus A-Helping-Hand (AHH) intervention in which bilingual promotoras, hired and supervised by the research project, provided 6 weekly psychoeducational sessions followed by boosters. Of 1957 screened, 348 depressed patients (PHQ-9 score ≥ 10) were enrolled, randomized to AHH (n = 178) or UC (n = 170) after baseline interview assessing mental health, treatment receipt, co-morbid illness, self-care management, and environmental stressors. Comprehensive assessments were repeated at 6 and 12 months by an independent interviewer blind to the study group. Patients (85% diabetes, 4% heart disease, 11% both) were predominantly female (85%), Latino (99%), born outside of the US (91%). Study attrition at 12 months was 30% (AHH 31%, UC 28%, P = 0.51). No baseline characteristics were associated with attrition. Half of AHH patients received 4 or more sessions. Intend-to-treat analysis found study groups did not vary significantly at 6 and 12 months. Before-after paired t-tests showed significant improvements in most measures in each group. During the trial, LAC-DHS activated healthcare improvements including depression screening, referral to clinic staff including community health workers (with the same role as the promotoras) to improve patient care management. Both patient groups performed equally well which may be a function of the enhanced healthcare model. Future research should replicate the promotora-integrated care model with other groups and care settings with similar comorbid conditions.

Using Beta-Version Mhealth Technology for Team-Based Care Management to Support Stroke Prevention | JMIR Publications

Magaly Ramirez, Shin-Yi Wu, Gery W Ryan, Amytis Towfighi, Barbara Vickrey

2017 Beta versions of health information technology tools are needed in service delivery models with health care and community partnerships to confirm the key components and to assess the performance of the tools and their impact on users. We developed a care management technology (CMT) for use by community health workers (CHWs) and care managers (CMs) working collaboratively to improve risk factor control among recent stroke survivors. The CMT was expected to enhance the efficiency and effectiveness of the CHW-CM team. The primary objective was to describe the Secondary Stroke Prevention by Uniting Community and Chronic Care Model Teams Early to End Disparities (SUCCEED) CMT and investigate CM and CHW perceptions of the CMT's usefulness and challenges for team-based care management. Care managers and community health workers expressed that the CMT helped them keep track of patient interactions and plan their work. It guided CMs in developing and sharing care plans with CHWs. For CHWs, the CMT enabled electronic collection of clinical assessment data, provided decision support, and provided remote access to patients' risk factor values. Long loading times and downtimes due to outages were the most significant challenges encountered. Additional issues included extensive use of free-text responses and manual data transfer from the electronic medical record. Despite these challenges, patients overall did not perceive the tablet as interfering with CHW-patient interactions. Our findings suggest useful functionalities of CMTs supporting health care and community partners in collaborative chronic care management. However, usability issues need to be addressed during the development process. The SUCCEED CMT is an initial step toward the development of effective health information technology tools to support collaborative, team-based models of care and will need to be modified as the evidence base grows. Future research should assess the CMT's effects on team performance.

Using Beta-Version mHealth Technology for Team-Based Care Management to Support Stroke Prevention: An Assessment of Utility and Challenges | JMIR Research Protocols

Magaly Ramirez, Shinyi Wu, Gery Ryan, Amytis Towfighi, Barbara G Vickrey

2017 Background: Beta versions of health information technology tools are needed in service delivery models with health care and community partnerships to confirm the key components and to assess the performance of the tools and their impact on users. We developed a care management technology (CMT) for use by community health workers (CHWs) and care managers (CMs) working collaboratively to improve risk factor control among recent stroke survivors. The CMT was expected to enhance the efficiency and effectiveness of the CHW-CM team. Objective: The primary objective was to describe the Secondary Stroke Prevention by Uniting Community and Chronic Care Model Teams Early to End Disparities (SUCCEED) CMT and investigate CM and CHW perceptions of the CMT’s usefulness and challenges for team-based care management. Results: Care managers and community health workers expressed that the CMT helped them keep track of patient interactions and plan their work. It guided CMs in developing and sharing care plans with CHWs. For CHWs, the CMT enabled electronic collection of clinical assessment data, provided decision support, and provided remote access to patients’ risk factor values. Long loading times and downtimes due to outages were the most significant challenges encountered. Additional issues included extensive use of free-text responses and manual data transfer from the electronic medical record. Despite these challenges, patients overall did not perceive the tablet as interfering with CHW-patient interactions. Conclusions: Our findings suggest useful functionalities of CMTs supporting health care and community partners in collaborative chronic care management. However, usability issues need to be addressed during the development process. The SUCCEED CMT is an initial step toward the development of effective health information technology tools to support collaborative, team-based models of care and will need to be modified as the evidence base grows. Future research should assess the CMT’s effects on team performance.

Latinos & Alzheimer's Disease: New Numbers Behind the Crisis | USC Edward R. Roybal Institute on Aging and the LatinosAgainstAlzheimer’s Network

Shinyi Wu, William Vega, Jason Resendez, Haomiao

2016 Unless a medical breakthrough is discovered that prevents, cures or slows the progression of Alzheimer’s disease, the incidence and cost of Alzheimer’s on U.S. Latinos will grow exponentially by 2060, according to the report.

An agent-based simulation model of patient choice of health care providers in accountable care organizations | Health Care Management Science

Abdullah Alibrahim, Shinyi Wu

2016 Accountable care organizations (ACO) in the United States show promise in controlling health care costs while preserving patients’ choice of providers. Understanding the effects of patient choice is critical in novel payment and delivery models like ACO that depend on continuity of care and accountability. The financial, utilization, and behavioral implications associated with a patient’s decision to forego local health care providers for more distant ones to access higher quality care remain unknown. To study this question, we used an agent-based simulation model of a health care market composed of providers able to form ACO serving patients and embedded it in a conditional logit decision model to examine patients capable of choosing their care providers. This simulation focuses on Medicare beneficiaries and their congestive heart failure (CHF) outcomes. We place the patient agents in an ACO delivery system model in which provider agents decide if they remain in an ACO and perform a quality improving CHF disease management intervention. Illustrative results show that allowing patients to choose their providers reduces the yearly payment per CHF patient by $320, reduces mortality rates by 0.12 percentage points and hospitalization rates by 0.44 percentage points, and marginally increases provider participation in ACO. This study demonstrates a model capable of quantifying the effects of patient choice in a theoretical ACO system and provides a potential tool for policymakers to understand implications of patient choice and assess potential policy controls.

Complexity in Redesigning Depression Care: Comparing Intention Versus Implementation of an Automated Depression Screening and Monitoring Program | Population Health Management

Paul Di Capua, Brian Wu, Renee Sednew, Gery Ryan, Shinyi Wu

2016 Health care technology promises to improve quality and decrease costs while improving the patient experience. A recent trial tested a novel health technology that sought to reduce barriers to guideline-recommended depression care by coupling automated telephonic patient assessment with provider notification and decision support. This study compares the intended effects and the end users' experience with using this technology. Responses to semi-structured interviews with the leadership and design team (the intention group) were compared with responses from health professionals in clinics using the technology (the implementation group). Qualitative methods were applied to compare perspectives on the role of technology in care delivery and on the technology's impact on barriers to providing guideline-recommended care. Four members of the intention group and 17 members of the implementation group were interviewed. The 2 groups had similar notions of technology's role in care delivery. The technology increased provider awareness, empowered midlevel providers, and facilitated collaboration among care team members. However, the implementation group identified gaps in care processes and in the informatics system that the technology did not address, and for which providers remained responsible. The 2 groups had comparable perspectives on the value and limits of technology in improving adherence to guideline-recommended care. However, the intention group did not discuss many of the shortcomings identified by the implementation group. Also, the interviews suggest that although some barriers persisted and a few new ones arose, the technology succeeded in reducing barriers to guideline-recommended care.