Evidence map›Paper›PMID 32550796›Full record

ArticleSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society2020

Pharmaceutical companies' views on a health technology assessment (HTA) entity in Saudi Arabia.

Hussain Abdulrahman Al-Omar, Abdulaziz Abdulhadi Attuwaijri, Ibrahim Abdulrahman Aljuffali

Abstract read
In one paragraph

Article in Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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.

Hussain Abdulrahman Al-OmarDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia.
Abdulaziz Abdulhadi AttuwaijriHealth Economics and Pharmaceutical Consultant, Ministry of Health, Riyadh, Saudi Arabia.
Ibrahim Abdulrahman AljuffaliDepartment of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saudi Arabia is undergoing a massive healthcare transformation to fulfill its new, national "Vision 2030." To align with this objective, Saudi Arabia is establishing a new, independent and evidence-based health technology assessment (HTA) entity to help it maximize health gains through efficient use of resources. This study was designed to ascertain how pharmaceutical companies perceive the creation of such a national HTA entity in Saudi Arabia; what they think about it and expect from it. To achieve the study's aim, we held a workshop in Riyadh, Saudi Arabia, lasting four and a half hours and hosted by the Saudi Ministry of Health (MOH). We invited 16 market access directors and managers from different multinational pharmaceutical companies to discuss the establishment of a national HTA entity. The findings from the workshop were structured around three axes: vision and remit; HTA method; and implementation and practical considerations. Overall, the pharmaceutical company participants were positive about HTA's value for the Saudi healthcare system and expressed willingness to adapt to meet its future requirements.

Indexed as

Health technology assessmentPharmaceutical companiesPolicySaudi ArabiaStrategy

Identifiers

PMID32550796
PMCPMC7292859

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.