Evidence map›Paper›PMID 35275389›Full record

ArticleApplied health economics and health policy2022

Forecasting the Incremental Value to Society Created by a Class of New Prescription Drugs: A Proposed Methodology and Its Application to Treating Chronic Hepatitis C in India.

V Srinivasan, David E Bloom, Alex Khoury

Abstract read
PubMed Publisher
In one paragraph

Article in Applied health economics and health policy, 2022. 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, top 93% of its field
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, 0 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

V SrinivasanGraduate School of Business, Stanford University, Stanford, CA, 94305, USA. seenu@stanford.edu.
David E BloomDepartment of Global Health and Population, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Alex KhouryT.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Harvard University · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor low- and middle-income countries, the forecasted incremental value to society created by a class of new prescription drugs would be a useful criterion to prioritize the licensing, subsidization, and provision of new drugs.

objectivesWe provide a methodology to forecast the value of a new class of drugs, defined as the incremental value obtained in the scenario in which the new class of drugs is available along with existing drugs compared with the scenario of existing drugs only. We forecasted the value created by direct-acting antiviral drugs to treat chronic hepatitis C in India.

methodWe conducted a physician survey together with an aggregate multinomial logit model to forecast for each patient type the fraction of physicians who would prescribe the new drug under different scenarios. Value was determined by the monetary equivalent of increased life expectancy, reduced disability, and decreased future infection of others, minus drug cost, all treatment-related costs, and the cost of side effects.

resultsWe forecasted that the introduction of direct-acting antiviral drugs is likely to create USD11.5 billion of value in India over a 5-year period, based on a 'realistic' assumption about the growth rate of India's per capita GDP. Under 'pessimistic' and 'optimistic' assumptions about the growth rate, the value changes to USD6.5 and 22.5 billion, respectively.

conclusionsThere is major value likely to be created by the new direct-acting antiviral drugs in treating hepatitis C in India; this is consistent with the Indian Government's decision to provide the drugs free of cost.

Indexed as

Hepatitis CHepatitis C, ChronicPrescription DrugsAntiviral AgentsCost-Benefit AnalysisHumansIndiaAntiviral AgentsPrescription Drugs

Identifiers

PMID35275389
OpenAlexW4221120817

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.