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Background: People with complex needs, such as those experiencing homelessness, require concurrent, seamless support from multiple social service agencies. Sonoma County, California has one of the nation's largest homeless populations among largely suburban communities. To support client-centered care, the county deployed a Care Management and Coordination System (CMCS). This system comprised the Watson Care Manager (WCM), a front-end system, and Connect 360, which is an integrated data hub that aggregates information from various systems into a single client record.
Objective: The aim of this study is to evaluate the perceived impact and usability of WCM in delivering services to the homeless population in Sonoma County.
Methods: A mixed methods study was conducted to identify ways in which WCM helps to coordinate care. Interviews, observations, and surveys were conducted, and transcripts and field notes were thematically analyzed and directed by a grounded theory approach. Responses to the Technology Acceptance Model survey were analyzed.
Results: A total of 16 participants were interviewed, including WCM users (n=8) and department leadership members (n=8). In total, 3 interdisciplinary team meetings were observed, and 8 WCM users were surveyed. WCM provided a central shared platform where client-related, up-to-date, comprehensive, and reliable information from participating agencies was consolidated. Factors that facilitated WCM use were users' enthusiasm regarding the tool functionalities, scalability, and agency collaboration. Constraining factors included the suboptimal awareness of care delivery goals and functionality of the system among the community, sensitivities about data sharing and legal requirements, and constrained funding from government and nongovernment organizations. Overall, users found WCM to be a useful tool that was easy to use and helped to enhance performance.
Conclusions: WCM supports the delivery of care to individuals with complex needs. Integration of data and information in a CMCS can facilitate coordinated care. Future research should examine WCM and similar CMCSs in diverse populations and settings.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998322 | PMC |
http://dx.doi.org/10.2196/24122 | DOI Listing |
Alzheimers Dement
December 2024
Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York, USA.
Our review summarizes the diagnostic accuracy of plasma and cerebrospinal fluid (CSF) phosphorylated tau 217 (p-tau217) in detecting amyloid and tau pathology on positron emission tomography (PET). We systematically reviewed studies that reported the diagnostic accuracy of plasma and CSF p-tau217, searching MEDLINE/PubMed, Scopus, and Web of Science through August 2024. The accuracy of p-tau217 in predicting amyloid and tau pathology on PET was evaluated in 30 studies.
View Article and Find Full Text PDFFor commercially available infrared radiometers with a small volume and a light weight and without an independent cooling system for the optical structure, thermal sensitivity is a key constraint for their application to high-precision limb observations. In this research, the response law of a medium wave (3.7-4.
View Article and Find Full Text PDFHematology
December 2024
Department of Haematology and Bone Marrow Transplant, National Center for Cancer Care and Research (NCCCR), Hamad Medical Corporation, Doha, Qatar.
Environ Monit Assess
December 2024
Department of Water Resource Development & Management, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India, 247667.
The accurate retrieval of soil moisture plays a pivotal role in agriculture, particularly in effective irrigation water management, as it significantly affects crop growth and yield. The present study mainly focuses on the robustly investigated capability of dual-polarized Sentinel-1 SAR-derived vegetation descriptors in the water cloud model (WCM) in surface soil moisture (SSM) retrieval over wheat crops. The vegetation descriptors used in the study are radar vegetation index (RVI), backscattering ratio, polarimetric radar vegetation index (PRVI), dual polarization SAR vegetation index (DPSVI), and dual polarimetric radar vegetation index (DpRVI).
View Article and Find Full Text PDFCardiovasc Diabetol
December 2024
Research Department, Weill Cornell Medicine-Qatar, Doha, Qatar.
Background: Previous studies have reported a protective effect of type 2 diabetes on the incidence and progression of aortic aneurysms. We investigated whether this protective effect extends to aortic dissections.
Methods: Data from the US Nationwide Readmission Database (2016-2019) were analyzed.
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