Evidence map›Paper›PMID 36283751›Full record

ArticleBMJ open2022

Protocol for a systematic review and meta-analysis of minimal important differences for generic multiattribute utility instruments.

Glen James Henson, Bruce V Taylor, Ingrid van der Mei, Suzi B Claflin, Steve Simpson-Yap, Andrew J Palmer, Qing Xia, Benny Antony, Ambrish Singh, Julie A Campbell

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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

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

  1. A systematic review of minimum important changes for generic multi-attribute utility instruments and recommendations for their estimation.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Pooled it
  2. 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

10 authors.

Glen James HensonHealth Economics, Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0002-1237-5710
Bruce V TaylorMenzies Insitute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0003-2807-0070
Ingrid van der MeiMenzies Insitute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0001-9009-7472
Suzi B ClaflinMenzies Insitute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0001-6545-946X
Steve Simpson-YapSchool of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0001-6521-3056
Andrew J PalmerHealth Economics, Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0002-9703-7891
Qing XiaHealth Economics, Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0002-8556-3456
Benny AntonyMenzies Insitute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0001-8704-6084
Ambrish SinghMenzies Insitute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0002-4618-7507
Julie A CampbellHealth Economics, Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia Julie.Campbell@utas.edu.au.ORCID 0000-0002-1820-6758

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGeneric multiattribute utility instruments (MAUIs) are efficient tools for determining and enumerating health-related quality of life. MAUIs accomplish this by generating health state utilities (HSUs) via algorithms. Minimal important differences (MIDs) assist with the interpretation of HSUs by estimating minimum changes that are clinically significant. The overall goal of the proposed systematic review and meta-analysis is the development of comprehensive guidelines for MID estimation. METHODS AND ANALYSIS: This protocol defines a systematic review and meta-analysis of MIDs for generic MAUIs. The proposed research will involve a comprehensive investigation of 10 databases (EconLit, IDEAs database, INAHTA database, Medline, PsycINFO, Embase, Emcare, JBIEBP and CINAHL) from 1 June 2022 to 7 June 2022, and will be performed and reported in accordance with several validated guidelines, principally the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The quality of papers, considered for inclusion in the review, will be appraised using the COnsensus-based Standards for the selection of health Measurement INstruments, inter alia.Narrative analysis will involve identifying the characteristics of MIDs including methods of calculation, sources of heterogeneity, and validation. Meta-analysis will also be conducted. The descriptive element of meta-analysis will involve the generation of I ETHICS AND DISSEMINATION: Ethics approval is not required for this review, as it will aggregate data from published literature. Methods of dissemination will include publication in a peer-reviewed journal, as well as presentation at conferences and seminars. PROSPERO REGISTRATION NUMBER: CRD42021261821.

Indexed as

Quality of LifeResearch DesignHumansMeta-Analysis as TopicReview Literature as TopicSystematic Reviews as Topichealth economicsprotocols & guidelinesstatistics & research methods

Identifiers

PMID36283751
PMCPMC9608522

What OpenQuestion holds

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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.