Evidence map›Paper›PMID 36001218›Full record

ArticleHealth care management science2022

Country versus pharmaceutical company interests for hepatitis C treatment.

Roy Lothan, Noa Gutman, Dan Yamin

Abstract read
In one paragraph

Article in Health care management science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Roy LothanDepartment of Industrial Engineering, Faculty of Engineering, Tel Aviv University, 69978, Tel Aviv, Israel.
Noa GutmanDepartment of Industrial Engineering, Faculty of Engineering, Tel Aviv University, 69978, Tel Aviv, Israel.
Dan YaminDepartment of Industrial Engineering, Faculty of Engineering, Tel Aviv University, 69978, Tel Aviv, Israel. dan.yamin@gmail.com.ORCID http://orcid.org/0000-0002-1131-5572

Funding

Koret Foundation Digital Living 2030
6 · The paper itself

Abstract

Hepatitis C virus (HCV) is one of the leading causes of liver disease and is responsible for massive health and economic burden worldwide. The disease is asymptomatic in its early stages, but it can progress over time to fatal end-stage liver disease. Thus, the majority of individuals infected with HCV are unaware of their chronic condition. Recent treatment options for HCV can completely cure the infection but are costly. We developed a game model between a pharmaceutical company (PC) and a country striving to maximize its citizens' utility. First, the PC determines the price of HCV treatment; then, the country responds with corresponding screening and treatment strategies. We employed an analytical framework to calculate the utility of the players for each selected strategy. Calibrated to detailed HCV data from Israel, we found that the PC will gain higher revenue by offering a quantity discount rather than using standard fixed pricing per treatment, by indirectly forcing the country to conduct more screening than it desired. By contrast, risk-sharing agreements, in which the country pays only for successful treatments are beneficial for the country. Our findings underscore that policy makers worldwide should prudently consider recent offers by PCs to increase screening either directly, via covering HCV screening, or indirectly, by providing discounts following a predetermined volume of sales. More broadly, our approach is applicable in other healthcare settings where screening is essential to determine treatment strategies.

Indexed as

Hepatitis CCommerceHumansIsraelPharmaceutical PreparationsPharmaceutical PreparationsCost-effectiveness analysisGame theoryHCV screeningHealthcare managementHepatitis C virusRisk-sharing agreements

Identifiers

PMID36001218
PMCPMC9399601

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.