Evidence map›Paper›PMID 31820294›Full record

SynthesisPharmacoEconomics2020

Multi-criteria Decision Analysis Software in Healthcare Priority Setting: A Systematic Review.

Alexander Moreno-Calderón, Thai S Tong, Praveen Thokala

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in PharmacoEconomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. The CAPACITI Decision-Support Tool for National Immunization Programs.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
    Article
  7. Article
  8. 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.

Alexander Moreno-CalderónUniversidad Nacional de Colombia, Carrera 45 # 26-85, Bogotá, Colombia. jaiamorenocal@unal.edu.co.ORCID http://orcid.org/0000-0001-5405-1274
Thai S TongSchool of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Praveen ThokalaSchool of Health and Related Research, University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objectives of this systematic review were to identify studies using Multi-Criteria Decision Analysis (MCDA) software tools to support health prioritisation processes and describe the technical capabilities of the MCDA software tools identified.

methodsFirst, a systematic literature review was conducted in the MEDLINE, EMBASE, Web of Science, EconLit and Cochrane databases in July 2019 to identify studies that have used MCDA software for priority setting in health-related problems. Second, the MCDA software tools found in the review were downloaded (full versions, where freely available, and trial versions otherwise) and tested to extract their key technical characteristics.

resultsNine studies were included, from which seven different software tools, 1000minds

conclusionsThe use of MCDA software in prioritisation processes has a number of advantages such as inclusion of several types of stakeholders and the ability to analyse a greater number of alternatives and criteria and perform real-time sensitivity analyses. Proprietary software (i.e. software with licensing fees) seemed to have more features than freely available software. However, this field is still developing, with only a few studies where MCDA software was used to support health priority setting and opportunity costs not explicitly captured in many software tools.

Indexed as

Decision Making, Computer-AssistedDecision Support TechniquesSoftwareHealth PrioritiesTechnology Assessment, Biomedical

Identifiers

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.