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1.
Pathogens ; 12(2)2023 Jan 28.
Article in English | MEDLINE | ID: mdl-36839474

ABSTRACT

This study evaluates the feasibility of a local action program for HCV micro-elimination in highly endemic areas. Retrospective analysis: administrative and laboratory data (Local Health Unit, southern Italy) were integrated to quantize the anti-HCV-positive subjects not RNA tested and untreated HCV-infected subjects (2018-2022). Prospective analysis: all subjects admitted to a division of the LHU largest hospital (2021-2022) were tested for HCV, with linkage of active-infected patients to care. Overall, 49287 subjects were HCV-Ab tested: 1071 (2.2%) resulted positive without information for an HCV RNA test and 230 (0.5%) had an active infection not yet cured. Among 856 admitted subjects, 54 (6.3%) were HCV-Ab+ and 27 (3.0%) HCV RNA+. Of HCV-infected patients, 22.2% had advanced liver disease, highlighting the need for earlier diagnosis; 27.7% were unaware of HCV infection; and 20.4% were previously aware but never referred to a clinical center. Of these, 26% died and 74% received treatment. Our study emphasizes the value of an active HCV hospital case-finding program to enhance diagnosis in patients with several comorbidities and to easily link them to care. Our data strongly suggest extending this program to all hospital wards/access as a standard of care, particularly in highly endemic areas, to help HCV disease control and take steps in achieving the elimination goals.

2.
Emerg Med Australas ; 21(1): 80-3, 2009 Feb.
Article in English | MEDLINE | ID: mdl-19254317

ABSTRACT

Retrospective bias in expert evidence can have many ramifications for the practitioners involved and less directly for patients. The individual doctor's self-worth can be diminished and timely improvement in the delivery of patient can be delayed or prevented completely. This article explores why retrospective bias occurs and what can be done to minimise its impact.


Subject(s)
Expert Testimony/ethics , Health Knowledge, Attitudes, Practice , Attitude of Health Personnel , Australia , Bias , Humans , Liability, Legal , Reproducibility of Results , Safety/legislation & jurisprudence
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