Background: Despite the availability of safe and effective direct-acting antiviral drugs (DAAs), the vast majority of patients with chronic hepatitis C (HCV) in the USA remain untreated, in part due to lack of access to specialist providers.
Aims: To determine the effectiveness of DAA-based treatment in medically underserved areas in California, in a healthcare model dependent on task-shifting--wherein a visiting hepatologist assesses patients for treatment eligibility, but subsequent routine follow-up evaluation of patients prescribed treatment is devolved to a part-time licensed vocational nurse under remote supervision of the hepatologist.
Methods: We retrospectively determined rates of sustained virologic response 12 weeks after treatment completion (SVR-12), adverse events, and treatment discontinuations in patients who received sofosbuvir-based DAA regimens between December 2013 and November 2014.
Results: Despite limited specialist provider involvement in medically underserved areas, all but two of 58 patients completed treatment, and 88 % of patients achieved the curative endpoint of undetectable HCV RNA 12 weeks after completing treatment (sustained virologic response, SVR-12). Almost 80 % of patients with cirrhosis and 85 % of patients with prior treatment experience achieved SVR-12.
Conclusions: Treatment effectiveness with sofosbuvir-based regimens in medically underserved areas utilizing task-shifting from a specialist to a mid-level provider is comparable to those achieved in pivotal clinical trials for these regimens, and to “real-world” experiences of tertiary care centers in the USA.
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http://dx.doi.org/10.1007/s10620-015-3911-6 | DOI Listing |
Asian J Psychiatr
December 2024
Centre of Disease Control and Prevention Department, Hamad Medical Corporation, Qatar.
Child and adolescent mental health disorders in Qatar remain significantly underserved due to a critical shortage of specialists, stigma, and logistical barriers. This paper proposes implementing a Collaborative Care Model (CoCM) within Qatar's primary care settings, leveraging existing infrastructure, such as the CERNER electronic health record system, and innovations like telepsychiatry and AI-driven tools. The model integrates task-sharing among interdisciplinary teams to enhance accessibility and continuity of care.
View Article and Find Full Text PDFImplement Sci Commun
December 2024
Department of Health Promotion and Behavioral Sciences, School of Public Health, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX, 77030, USA.
Background: All for Them is a theory-based and evidence-informed multilevel, multicomponent program delivered through schools to increase HPV vaccination among medically underserved youth across Texas. Given the potential logistical challenges of program implementation, understanding how to best support the implementation and sustainment of the program is critical. The overall goals of this study are twofold: 1) develop a multifaceted implementation strategy, Implementing All for Them (IM-AFT); and 2) evaluate the impact of IM-AFT on implementation outcomes for schools and healthcare providers to successfully implement All for Them in their respective settings.
View Article and Find Full Text PDFNat Aging
December 2024
Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile.
Structural inequality, the uneven distribution of resources and opportunities, influences health outcomes. However, the biological embedding of structural inequality in aging and dementia, especially among underrepresented populations, is unclear. We examined the association between structural inequality (country-level and state-level Gini indices) and brain volume and connectivity in 2,135 healthy controls, and individuals with Alzheimer's disease and frontotemporal lobe degeneration from Latin America and the United States.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Public Health, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 Xianxia Road, Shanghai, 200335, China.
Breast ultrasound is recommended for early breast cancer detection in China, but the rapid increase in imaging data burdens sonographers. This study evaluated the agreement between artificial intelligence (AI) software and sonographers in analyzing breast nodule features. Breast ultrasound images from two hospitals in Shanghai were analyzed by both the software and the sonographers for features including echotexture, echo pattern, orientation, shape, margin, calcification, and posterior echo attenuation.
View Article and Find Full Text PDFPublic Health
December 2024
Department of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India. Electronic address:
Objectives: Stillbirths, the tragic loss of a baby before or during delivery, presents a profound global health concern. Investigating the diverse causes and risk factors is essential to develop targeted interventions, enhance perinatal care, and reduce the incidence of this devastating outcome. The aim of this study was to identify the causes and possible risk factors of stillbirths in India.
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