ArticleAmerican health & drug benefits2018
Newly Diagnosed Hepatitis C in the US Commercially Insured Population Before and After the 2012 Implementation of Expanded Screening Guidelines.
Article in American health & drug benefits, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Newly Diagnosed Hepatitis C in the US Commercially Insured Population Before and After the 2012 Implementation of Expanded Screening Guidelines.American health & drug benefits · 2018Article
- How are HCV-infected patients being identified in Brazil: a multicenter study.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious DiseasesArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn the United States in 2014, more than 3 million individuals were estimated to have chronic hepatitis C virus (HCV) infection, including many undiagnosed individuals. In 2012, the Centers for Disease Control and Prevention expanded its HCV testing recommendations to target all adults born between 1945 and 1965, in addition to at-risk individuals, which has led to an increase in newly diagnosed patients. Few studies have explored the medical cost or clinical status of patients who are newly diagnosed with HCV.
objectiveTo compare the demographics, comorbidities, and medical costs of patients who are newly diagnosed and those who were previously diagnosed with HCV infection.
methodWe conducted a retrospective study using 2013 claims data from the Truven Health MarketScan Commercial database to compare patients newly diagnosed with HCV infection in 2013 and patients who were diagnosed before 2013. The patients were divided into 2 cohorts based on the time of diagnosis before and after 2013. All patients were classified by disease stage and by comorbidities, and were required to have continuous health plan enrollment between January 2010 and December 2013. The full-year costs were tabulated for every patient, regardless of the date of diagnosis.
resultsOf the 9193 patients with an HCV diagnosis in 2013 in the database, approximately 26% (N = 2428) were newly diagnosed in 2013, of whom 12% (N = 299) had advanced-stage HCV. The average age of the newly diagnosed patients was 49.5 years versus 54.1 years for previously diagnosed patients. Patients who were previously diagnosed had a higher prevalence of HIV, diabetes, and more severe cancers than patients who were newly diagnosed with HCV. Patients who were newly diagnosed with HCV had a higher prevalence of acute liver failure and drug-induced psychosis. The average annual per-patient per-month (PPPM) medical costs for both groups was approximately $2200 in 2013. The annual medical cost for a patient who was newly diagnosed increased sharply in the year before diagnosis, from approximately $588 PPPM for the 3 years before the diagnosis to approximately $854 PPPM in the year before diagnosis.
conclusionIn 2013, the healthcare costs of patients who were newly diagnosed with HCV were similar in their first year of diagnosis to the costs of patients who had been diagnosed previously, although patients who were previously diagnosed had more advanced-stage disease. Patients who were newly diagnosed had 3-fold the healthcare costs in their first year of diagnosis versus the costs in the 3 years before their diagnosis.
Indexed as
Identifiers
29692878PMC5902763W2788646970What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.