Fountain, Anne O.

B.A. With Honors in Spanish, Indiana University, 1966 M.A. in Spanish, Indiana University, 1968 Ph.D. in Spanish, Columbia University, 1973 Graduate Area Certificate, Latin American Studies, Columbia University, School of International Affairs, 1973https://scholarworks.sjsu.edu/erfa_bios/1035/thumbnail.jp

Kendall, Susan L.

University of Nevada, Las Vegas, History, 1980 M.A. University of Denver, Library Science, 1972 M.A. St. Louis University, History, 1969 B.A.https://scholarworks.sjsu.edu/erfa_bios/1334/thumbnail.jp

Hill, Patricia Evridge

University of Texas at Dallas, Humanities, Emphasis in History, Ph.D. 1990 University of Texas at Dallas, Humanities, Emphasis in History, M.A. 1984 Southern Methodist University, Major: History, Minor: Spanish, B.A. 1979https://scholarworks.sjsu.edu/erfa_bios/1374/thumbnail.jp

Spartan Daily, March 19, 2024

Volume 162, Issue 23https://scholarworks.sjsu.edu/spartan_daily_2024/1023/thumbnail.jp

Schultz-Krohn, Winifred

Saybrook Graduate School, San Francisco, CA, Human Science, Doctor of Philosophy, 2002 University of Hartford, West Hartford, CT, Neuroscience - Psychology, Master of Arts,1987 University of Minnesota, Minneapolis, MN, Occupational Therapy, Bachelor of Science, 1977https://scholarworks.sjsu.edu/erfa_bios/1364/thumbnail.jp

Spartan Daily, April 30, 2024

Volume 162, Issue 38https://scholarworks.sjsu.edu/spartan_daily_2024/1038/thumbnail.jp

Assumptions, Resources, and Inputs to Case Management: Implications for California’s Regional Center System

This project adds to knowledge of case management assumptions, resources, and inputs for California’s Regional Center system by surveying members of the Service Access and Equity working group, formed by the Department of Developmental Services (DDS). It recommends development of a logic model to evaluate case management activities because their intended societal impacts are difficult to directly measure. Additionally, it adds to the debate on health equity and racial disparities in Medicaid long-term services and supports (LTSS). In 1969, passage of the Lanterman Developmental Disabilities Services Act (The Lanterman Act) led to the first and still only entitlement to community-based services that is granted to people with developmental and intellectual disabilities (I/DD) by a state. Twenty-one private, nonprofit Regional Centers have exclusive rights to provide case management and to purchase community- based services for eligible consumers within their catchment area. By contracting with DDS, Regional Centers receive reimbursement for case management operations, pass-through rates to purchase community-based services, and administer various grants, projects, and funds. This project contributes to understanding whether and how knowledge gaps in Regional Center case management affect expenditures of home- and community-based services (HCBS). In addition, Vogel et al. (2019) lay out systemic LTSS and demographic challenges in California: a higher percentage of people require services and have autism; a growing unpaid caregiver and adult consumer population aging-in-place at home; a struggle with rising labor costs to recruit and retain qualified personnel, high cost of housing for community living, and non-compliance with Medicaid HCBS regulation that may restrict federal funding. Surveying working group members’ knowledge of case management in home- and community-based services improves understanding of the disparities in service access for racial and non-English speaking consumers

Setting research priorities for global pandemic preparedness: An international consensus and comparison with ChatGPT’s output

Background In this priority-setting exercise, we sought to identify leading research priorities needed for strengthening future pandemic preparedness and response across countries. Methods The International Society of Global Health (ISoGH) used the Child Health and Nutrition Research Initiative (CHNRI) method to identify research priorities for future pandemic preparedness. Eighty experts in global health, translational and clinical research identified 163 research ideas, of which 42 experts then scored based on five pre-defined criteria. We calculated intermediate criterion-specific scores and overall research priority scores from the mean of individual scores for each research idea. We used a bootstrap (n = 1000) to compute the 95% confidence intervals. Results Key priorities included strengthening health systems, rapid vaccine and treatment production, improving international cooperation, and enhancing surveillance efficiency. Other priorities included learning from the coronavirus disease 2019 (COVID-19) pandemic, managing supply chains, identifying planning gaps, and promoting equitable interventions. We compared this CHNRI-based outcome with the 14 research priorities generated and ranked by ChatGPT, encountering both striking similarities and clear differences. Conclusions Priority setting processes based on human crowdsourcing – such as the CHNRI method – and the output provided by ChatGPT are both valuable, as they complement and strengthen each other. The priorities identified by ChatGPT were more grounded in theory, while those identified by CHNRI were guided by recent practical experiences. Addressing these priorities, along with improvements in health planning, equitable community-based interventions, and the capacity of primary health care, is vital for better pandemic preparedness and response in many settings