Evidence map›Paper›PMID 38374045›Full record

ArticleGlobalization and health2024

Pull me - push you? The disparate financing mechanisms of drug research in global health.

Max Alexander Matthey, Aidan Hollis

Abstract read
In one paragraph

Article in Globalization and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. D3 Receptor-Targeted Cariprazine: Insights from Lab to Bedside.International journal of molecular sciences · 2024
    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

2 authors.

Max Alexander MattheyDepartment of Philosophy, Politics and Economics, Witten / Herdecke University, Alfred-Herrhausen-Straße 50, 58455, Witten, Germany. max.matthey@uni-wh.de.ORCID 0009-0005-4988-8252
Aidan HollisDepartment of Economics, University of Calgary, 2500 University Drive NW Calgary Alberta, T2N 1N4, Canada, AB, Calgary.

Funding

CIHR 170388CIHR 387609
6 · The paper itself

Abstract

backgroundThere is an inconsistency in the way pharmaceutical research is financed. While pull mechanisms are predominantly used to incentivize later-stage pharmaceutical research for products with demand in the Global North, so-called neglected diseases are chiefly financed by push funding. This discrepancy has so far been ignored in the academic debate, and any compelling explanation for why we draw the line between push and pull at poor people is lacking. MAIN BODY: Clinical development of new pharmaceuticals is chiefly financed by free market pull mechanisms. Even in cases where markets fail to deliver adequate incentives, demand enhancement mechanisms are used to replicate pull funding artificially, for example, with subscription models for antibiotics. Push funding in clinical research is almost always used when the poverty of patients means that markets fail to create sufficient demand. The general question of whether push or pull generally is the more efficient way to conduct pharmaceutical research arises.

conclusionsIf the state is efficient in directing limited budgets for pharmaceutical research, push funding should be expanded to global diseases. If private industry is the more efficient actor, there would be enormous value in experimenting more aggressively with different approaches to enhance market demand artificially for neglected diseases.

Indexed as

Neglected DiseasesPharmaceutical ResearchAnti-Bacterial AgentsGlobal HealthHumansAnti-Bacterial AgentsNeglected diseasesPharmaceutical researchPolicy makingPull mechanisms

Identifiers

PMID38374045
PMCPMC10877918

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.