Evidence map›Paper›PMID 36209085›Full record

ArticleHealth research policy and systems2022

Improving the availability of prescription drugs in Lebanon: a critical analysis of alternative policy options.

Amena El-Harakeh, Sean J Haley

Open access · goldAbstract readLetter
In one paragraph

Article in Health research policy and systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

2 authors at 2 institutions in 1 country.

Amena El-HarakehDepartment of Community Health and Social Sciences, City University of New York's Graduate School of Public Health and Health Policy, 55 West 125th Street, New York, NY, 10027, United States of America. amena.elharakeh61@sphmail.cuny.edu.ORCID http://orcid.org/0000-0003-4554-5875
Sean J HaleyDepartment of Health Policy and Management, City University of New York's Graduate School of Public Health and Health Policy, 55 West 125th Street, New York, NY, 10027, United States of America.
City University of New York · USThe Graduate Center, CUNY · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The economic downfall in Lebanon and the destruction of the Beirut Port have had a crippling effect on all players in the health sector, including hospitals, healthcare providers, and the pharmaceutical and medical supply industry. The outbreak of COVID-19 has further aggravated the crisis. To address the challenges facing the pharmaceutical industry, Lebanon must create a stable and secure source of prescription drug production. Two alternative approaches are presented to address the crisis: (1) amending the subsidy system and supporting local pharmaceutical production, and (2) promoting the prescription and use of generic drugs. Investing in local production is promising and can lead to establishing trust in the quality of drugs produced locally. These efforts can be complemented by promoting the prescription and use of generic drugs at a later stage, after having had established a well-operating system for local drug production.

Indexed as

COVID-19Prescription DrugsDrugs, GenericHumansLebanonPolicyPrescriptionsDrugs, GenericPrescription DrugsAccess to medicinesGeneric drugsHealth policyHealth systemsHealth systems researchLebanon

Identifiers

PMID36209085
PMCPMC9547632
OpenAlexW4303673922

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.