Evidence map›Paper›PMID 34488730›Full record

ArticleBMC medical informatics and decision making2021

Common patient-reported outcomes across ICHOM Standard Sets: the potential contribution of PROMIS®.

Caroline B Terwee, Marloes Zuidgeest, Harald E Vonkeman, David Cella, Lotte Haverman, Leo D Roorda

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
12.1field-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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  5. Fatigue: assess and address it.Journal of patient-reported outcomes · 2026
    Article
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  7. Development of a Core Patient-Reported Outcome (Measures) Set for Pediatric Physical Therapy.Pediatric physical therapy : the official publication of the Section on Pediatrics of the American Physical Therapy Association · 2026
    Article
  8. Making sense of PROM outcomes: a mixed method study to optimize graphical visualization formats for children.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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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

6 authors at 6 institutions in 2 countries.

Caroline B TerweeDepartment of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands. cb.terwee@amsterdamumc.nl.ORCID 0000-0003-4570-2826
Marloes ZuidgeestNational Health Care Institute, Diemen, The Netherlands.
Harald E VonkemanDepartment of Rheumatology and Clinical Immunology, Medisch Spectrum Twente, Enschede, The Netherlands.
David CellaDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, USA.
Lotte HavermanPsychosocial Department, Emma Children's Hospital Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Leo D RoordaAmsterdam Rehabilitation Research Center | Reade, Amsterdam, The Netherlands.
Amsterdam University Medical Centers · NLEmma Kinderziekenhuis · NLMedisch Spectrum Twente · NLNorthwestern University · USReade · NLZorginstituut Nederland · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe International Consortium for Health Outcomes Measurement (ICHOM) develops condition-specific Standard Sets of outcomes to be measured in clinical practice for value-based healthcare evaluation. Standard Sets are developed by different working groups, which is inefficient and may lead to inconsistencies in selected PROs and PROMs. We aimed to identify common PROs across ICHOM Standard Sets and examined to what extend these PROs can be measured with a generic set of PROMs: the Patient-Reported Outcomes Measurement Information System (PROMIS®).

methodsWe extracted all PROs and recommended PROMs from 39 ICHOM Standard Sets. Similar PROs were categorized into unique PRO concepts. We examined which of these PRO concepts can be measured with PROMIS.

resultsA total of 307 PROs were identified in 39 ICHOM Standard Sets and 114 unique PROMs are recommended for measuring these PROs. The 307 PROs could be categorized into 22 unique PRO concepts. More than half (17/22) of these PRO concepts (covering about 75% of the PROs and 75% of the PROMs) can be measured with a PROMIS measure.

conclusionConsiderable overlap was found in PROs across ICHOM Standard Sets, and large differences in terminology used and PROMs recommended, even for the same PROs. We recommend a more universal and standardized approach to the selection of PROs and PROMs. Such an approach, focusing on a set of core PROs for all patients, measured with a system like PROMIS, may provide more opportunities for patient-centered care and facilitate the uptake of Standard Sets in clinical practice.

Indexed as

Patient-Centered CarePatient Reported Outcome MeasuresHumansHealthcare evaluationOutcome measurementPatient-reported outcomes

Identifiers

PMID34488730
PMCPMC8420145
OpenAlexW3197212619

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.