Evidence map›Paper›PMID 27932263›Full record

ArticleHealthcare (Amsterdam, Netherlands)2017

Long-term disease and economic outcomes of prior authorization criteria for Hepatitis C treatment in Pennsylvania Medicaid.

Mina Kabiri, Jagpreet Chhatwal, Julie M Donohue, Mark S Roberts, A Everette James, Michael A Dunn, Walid F Gellad

Abstract read
In one paragraph

Article in Healthcare (Amsterdam, Netherlands), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The impact of direct-acting antiviral agents on liver and kidney transplant costs and outcomes.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2018
    Article
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

7 authors.

Mina KabiriDepartment of Health Policy and Management, University of Pittsburgh, Pittsburgh, PA, USA.
Jagpreet ChhatwalInstitute for Technology Assessment, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Julie M DonohueDepartment of Health Policy and Management, University of Pittsburgh, Pittsburgh, PA, USA; Center for Pharmaceutical Policy and Prescribing, Health Policy Institute, University of Pittsburgh, Pittsburgh, PA, USA.
Mark S RobertsDepartment of Health Policy and Management, University of Pittsburgh, Pittsburgh, PA, USA.
A Everette JamesDepartment of Health Policy and Management, University of Pittsburgh, Pittsburgh, PA, USA; Center for Pharmaceutical Policy and Prescribing, Health Policy Institute, University of Pittsburgh, Pittsburgh, PA, USA; Health Policy Institute, University of Pittsburgh, Pittsburgh, PA, USA.
Michael A DunnDepartment of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Walid F GelladCenter for Pharmaceutical Policy and Prescribing, Health Policy Institute, University of Pittsburgh, Pittsburgh, PA, USA; Health Policy Institute, University of Pittsburgh, Pittsburgh, PA, USA; Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA. Electronic address: walid.gellad@pitt.edu.

Funding

University of Pittsburgh Clinical and Translational Science InstitutionKL2TR000146 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$8.7M
NCATS NIH HHS KL2 TR000146
6 · The paper itself

Abstract

backgroundSeveral highly effective but costly therapies for hepatitis C virus (HCV) are available. As a consequence of their high price, 36 state Medicaid programs limited treatment coverage to patients with more advanced HCV stages. States have only limited information available to predict the long-term impact of these decisions.

methodsWe adapted a validated hepatitis C microsimulation model to the Pennsylvania Medicaid population to estimate the existing HCV prevalence in Pennsylvania Medicaid and estimate the impact of various HCV drug coverage policies on disease outcomes and costs. Outcome measures included rates of advanced-stage HCV outcomes and treatment and disease costs in both Medicaid and Medicare.

resultsWe estimated that 46,700 individuals in Pennsylvania Medicaid were infected with HCV in 2015, 33% of whom were still undiagnosed. By expanding treatment to include mild fibrosis stage (Metavir F2), Pennsylvania Medicaid will spend an additional $273 million on medications in the next decade with no substantial reduction in the incidence of liver cancer or liver-related death. Medicaid patients who are not eligible for treatment under restricted policies would get treatment once they transition to the Medicare program, which would incur 10% reduction in HCV-related costs due to early treatment in Medicaid. Further expanding treatment to patients with early fibrosis stages (F0 or F1) would cost Medicaid an additional $693 million during the next decade but would reduce the number of individuals in need of treatment in Medicare by 46% and decrease Medicare treatment costs by 23%. In some scenarios, outcomes could worsen with eligibility expansion if there is inadequate capacity to treat all patients. CONCLUSIONS AND RELEVANCE: Expansion of HCV treatment coverage to less severe stages of liver disease may not substantially improve liver related outcomes for patients in Pennsylvania Medicaid in scenarios in which coverage through Medicare is widely available.

Indexed as

Treatment OutcomeAdolescentAdultAgedAntiviral AgentsCosts and Cost AnalysisFemaleHepacivirusHepatitis CHumansMaleMedicaidMiddle AgedPennsylvaniaUnited StatesAntiviral AgentsClaims analysisDirect-acting antiviralsHepatitis CHepatocellular carcinomaLiver transplantMicrosimulationPennsylvania Medicaid

Identifiers

PMID27932263
PMCPMC5459672

What OpenQuestion holds

Textmetadata
LicenceTDM
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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 OpenQuestion graph.