Evidence map›Paper›PMID 32839275›Full record

SynthesisEvidence-based mental health2021

Mind the methods of determining minimal important differences: three critical issues to consider.

Tahira Devji, Alonso Carrasco-Labra, Gordon Guyatt

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Evidence-based mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
9.8field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  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
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  7. Caregiver Meaningful Score Differences and Meaningful Score Regions for the Observer-Reported Communication Ability Measure for Individuals with Angelman Syndrome.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2026
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  18. Anchor-based minimal important difference values are often sensitive to the distribution of the change score.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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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 at 2 institutions in 2 countries.

Tahira DevjiHealth Research Methods, Evidence & Impact, McMaster University, Hamilton, Canada devjits@mcmaster.ca.ORCID 0000-0001-8414-7410
Alonso Carrasco-LabraOral and Craniofacial Health Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Gordon GuyattHealth Research Methods, Evidence & Impact, McMaster University, Hamilton, Canada.
Impact · CAUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveClinical trialists, meta-analysts and clinical guideline developers are increasingly using minimal important differences (MIDs) to enhance the interpretability of patient-reported outcome measures (PROMs). Here, we elucidate three critical issues of which MID users should be aware. Improved understanding of MID concepts and awareness of common pitfalls in methodology and reporting will better inform the application of MIDs in clinical research and decision-making.

methodsWe conducted a systematic review to inform the development of an inventory of anchor-based MID estimates for PROMs. We searched four electronic databases to identify primary studies empirically calculating an anchor-based MID estimate for any PROM in adolescent or adult populations across all clinical areas. Our findings are based on information from 338 studies reporting 3389 MIDs for 358 PROMs published between 1989 and 2015.

resultsWe identified three key issues in the MID literature that demand attention. (1) The profusion of terms representing the MID concept adds unnecessary complexity to users' task in identifying relevant MIDs, requiring meticulous inspection of methodology to ensure estimates offered truly reflect the MID. (2) A multitude of diverse methods for MID estimation that will yield different estimates exist, and whether there are superior options remains unresolved. (3) There are serious issues of incomplete presentation and reporting of key aspects of the design, methodology and results of studies providing anchor-based MIDs, which threatens the optimal use of these estimates for interpretation of intervention effects on PROMs.

conclusionsAlthough the MID represents a powerful tool for enhancing the interpretability of PROMs, realising its full value will require improved understanding and reporting of its measurement fundamentals.

Indexed as

Patient Reported Outcome MeasuresQuality of LifeAdolescentAdultHumans

Identifiers

PMID32839275
PMCPMC10231500
OpenAlexW3080828969

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.