Objective: We implemented a nontargeted, opt-out HCV testing and linkage to care (LTC) program in an academic tertiary care emergency department (ED). Despite research showing the critical role of ED-based HCV testing programs, predictors of LTC have not been defined for patients identified through the nontargeted ED testing strategy. In order to optimize health outcomes for patients with HCV, we sought to identify predictors of LTC failure.
Methods: This was a retrospective cohort study of adult patients who were tested for HCV in the ED between August 2015 and September 2018 and were confirmed to have chronic HCV infection through RNA testing. We used logistic regression to assess the relationship between candidate predictors and the primary outcome, LTC failure, which was defined as a patient not being seen by an HCV treating provider after discharge from the ED.
Results: Of 53,297 patients tested, 1,674 (3.1%) had HCV on confirmatory testing, and 355 (21%) linked to care. Predictors of LTC failure included younger age (OR 0.96, 95% CI 0.95-0.97), white race (OR 1.65, 95% CI 1.23-2.22), homelessness (OR 1.91, 95% CI 1.19-3.08), substance use (OR 1.77, 95% CI 1.34-2.34), and comorbid psychiatric illness (OR 2.16, 95% CI 1.59-2.94). Patients with significant medical comorbidities (OR 0.57, 95% CI 0.41-0.78) or HIV co-infection (OR 0.11, 95% CI 0.03-0.46) were less likely to experience LTC failure.
Conclusions: One in five HCV-infected patients identified by ED-based nontargeted testing successfully linked to an HCV treating provider. Predictors of LTC failure may guide the development of targeted interventions to improve LTC success.
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http://dx.doi.org/10.1016/j.ajem.2019.11.034 | DOI Listing |
Age Ageing
November 2024
Schlegel-UW Research Institute for Aging, 250 Laurelwood Dr, Waterloo, ON N2J 0E2, Canada.
Unlabelled: Decline in the ability to perform activities of daily living (ADL) or 'functional decline' is a major health concern among aging populations. With intervention, ADL decline may be delayed, prevented or reversed. The capacity to anticipate the trajectory of future functional change can enhance care planning and improve outcome for residents.
View Article and Find Full Text PDFFront Public Health
November 2024
INRCA IRCCS, Centre for Socio-Economic Research on Ageing, Ancona, Italy.
Objectives: This study aimed to identify factors affecting the psychological well-being of family caregivers of dependent older adults in Italy. Understanding these variables is essential for designing interventions to prevent negative outcomes in at-risk caregivers. The research explored how varying levels of caregiving burden and types of perceived social support influence psychological well-being.
View Article and Find Full Text PDFCureus
October 2024
Department of Anesthesiology, Uniformed Services University of the Health Sciences, Bethesda, USA.
Risk Manag Healthc Policy
August 2024
School of Public Health, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Background: Treatment burden is a patient-centred, dynamic concept. However, longitudinal data on the changing pattern of treatment burden among patients with one or more long-term conditions (LTCs) are relatively scanty. We aimed to explore the longitudinal trajectories of treatment burden and associated risk factors in a large, patient population in primary care settings.
View Article and Find Full Text PDFJ Gerontol B Psychol Sci Soc Sci
November 2024
Department of Social Work, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, People's Republic of China.
Objectives: Guided by Andersen's behavioral model, the objectives of this study were to (a) examine the associations between individual factors and the intended utilization of home-based long-term care (LTC) services among older adults in China and (b) explore the influence of community support, if any, on these associations.
Methods: Using a multistage random sampling approach, we recruited 1,064 older adults in Chengdu, China. Hierarchical regression was employed to investigate the direct effects of individual predictors and community support on the intended use of home-based LTC services.
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