Evidence map›Paper›PMID 38558740›Full record

ArticleCureus2024

Development of the Emirates Multi-Criteria Decision Analysis Tool for Orphan Drugs.

Khalid A Alnaqbi, Baher Elezbawy, Ahmad N Fasseeh, Abdul Rauf Bangash, Amin Elshamy, Hiba Shendi, Mohammed I Aftab, Mozah AlMarshoodi, Nicole Gebran, Noura AlDhaheri and 5 more

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

15 authors.

Khalid A AlnaqbiInternal Medicine, College of Medicine & Health Sciences, United Arab Emirates University, Al Ain, ARE.
Baher ElezbawyEvidence Synthesis, Syreon Middle East, Alexandria, EGY.
Ahmad N FasseehModelling, Syreon Middle East, Alexandria, EGY.
Abdul Rauf BangashBenefit Design and Strategic Purchasing, Department of Health, Abu Dhabi, ARE.
Amin ElshamyWellbeing and Sustainable Development, Ministry of Health and Prevention, Dubai, ARE.
Hiba ShendiPediatrics, Tawam Hospital, Al Ain, ARE.
Mohammed I AftabProcurement Management, Rafed UAE, Abu Dhabi, ARE.
Mozah AlMarshoodiHematology, Tawam Hospital, Al Ain, ARE.
Nicole GebranClinical Pharmacy, Abu Dhabi Health Services Company (SEHA), Abu Dhabi, ARE.
Noura AlDhaheriPediatrics/Genetics and Genomics, United Arab Emirates University, Al Ain, ARE.
Sahar A FahmyDrugs and Medical Products Regulation, Department of Health, Abu Dhabi, ARE.
Sara Al DallalHealth Service, Dubai Health Authority, Dubai, ARE.
Waeil Al NaeemClinical Pharmacy, Abu Dhabi Health Services Company (SEHA), Abu Dhabi, ARE.
Sherif AbazaHealth Economics, Syreon Middle East, Cairo, EGY.
Zoltán KalóHealth Economics, Syreon Research Institute, Budapest, HUN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The number of orphan drug approvals is currently increasing globally. This creates a significant burden on payers and healthcare systems. This study aimed to create a multi-criteria decision analysis (MCDA) tool for evaluating orphan drugs within the United Arab Emirates (UAE). The intended result of the tool is to provide evidence-based guidance to decision-makers in reimbursement and procurement decisions. Methods We conducted a literature search and local expert interviews to identify relevant preliminary criteria for the MCDA tool. Then we conducted a structured consensus-building session for healthcare experts and decision-makers in the UAE to develop the Emirati MCDA tool for orphan drugs. The experts voted for the criteria to be included in the tool and their ranking according to importance, as well as the weight of each criterion and its scoring function. To improve understanding and facilitate the voting process, experts were provided with a brief illustration of similar tools conducted in other countries before the voting sessions. Finally, the tool was developed in a Microsoft Excel sheet (Microsoft Corporation, Redmond, Washington, United States), and it was validated and tested based on real case studies, then it was fine-tuned accordingly based on the experts' discussions. The final tool was provided to the attendees to guide their decisions in the reimbursement and procurement of orphan drugs. Results The created tool provides a score for each analyzed orphan drug based on its value. Ten criteria were included in the final MCDA tool. These were cost-effectiveness (25.1% of the weight), magnitude of health gain (20.1%), availability of therapeutic alternative (14.3%), disease severity (11%), budget impact (7.9%), disease rarity (5.6%), strength of clinical evidence (5.6%), burden on households (4.5%), indication uniqueness (3.2%), and patients' age (2.6%). Conclusions Implementation of evidence-based healthcare necessitates assessing the fair value of each health technology. Addressing the high unmet medical needs and improving healthcare for patients with rare diseases are priorities within the UAE. The created Emirates MCDA tool for orphan drugs has the potential to help decision-makers implement value-based and evidence-based reimbursement decisions for orphan drugs.

Indexed as

mcdamulti criteria decision analysisorphan drugsrare diseasereimbursementunited arab emirates

Identifiers

PMID38558740
PMCPMC10981202

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Registered trials

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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.