Evidence map›Paper›PMID 40378381›Full record

ArticlePloS one2025

Evaluating the effectiveness of a population-level health intervention to increment HCV treatment coverage in tuscany region, Italy: An interrupted time series analysis.

Chiara Seghieri, Luca Ceccarelli, Costanza Tortù, Lara Tavoschi

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chiara SeghieriManagement and Healthcare Laboratory, Sant'Anna School of Advanced Studies, Pisa, Italy.ORCID 0000-0002-3910-7775
Luca CeccarelliManagement and Healthcare Laboratory, Sant'Anna School of Advanced Studies, Pisa, Italy.ORCID 0000-0001-6448-5607
Costanza TortùManagement and Healthcare Laboratory, Sant'Anna School of Advanced Studies, Pisa, Italy.ORCID 0000-0003-2561-9726
Lara TavoschiDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.ORCID 0000-0002-2217-4664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worldwide, an estimated 57.8 million people are chronically infected with the Hepatitis C virus (HCV). The advent of direct-acting antivirals (DAAs) has made possible the definition of elimination targets by 2030. This study aimed to evaluate the effectiveness of a population-level health intervention to expand access to HCV treatment in the Tuscany Region, Italy. We used individual-level administrative data from the Tuscany region, collected between January 2015 and December 2022. Data include monthly observations on i) the number of serological tests to detect HCV, ii) the number of PCR tests to detect HCV and, iii) the number of prescriptions of direct-acting antivirals against HCV. We implemented an Interrupted Time Series (ITS) model, where the primary outcome was the number of monthly prescriptions of direct-acting antivirals, while the number of tests to detect HCV were included as control variables. The analysis was implemented i) in the general population, ii) in specific sub-population groups. Results show that the health intervention promoted by the Tuscany Regional Health Authority was highly effective in increasing DAAs treatment coverage in the general population, while no significant effects were observed among sub-population groups. Findings of this study provide evidence to support policies at national and subnational levels to booster HCV screening and simplify access to DAA prescriptions.

Indexed as

Antiviral AgentsHepatitis CHepatitis C, ChronicAdultFemaleHepacivirusHumansInterrupted Time Series AnalysisItalyMaleMiddle AgedAntiviral Agents

Identifiers

PMID40378381
PMCPMC12084055

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.