Evidence map›Paper›PMID 39207628›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024

A framework for best practices in clinical outcome assessment (COA) concept mapping: a case study.

Meaghan O'Connor, Lynne Broderick, Miranda Lauher-Charest, Laura Tesler Waldman, Kristi Jackson, Mark Kosinski, Michelle Carty

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Meaghan O'ConnorQuality Metric, Johnston, RI, USA. moconnor@qualitymetric.com.ORCID http://orcid.org/0000-0001-6576-2952
Lynne BroderickQuality Metric, Johnston, RI, USA.ORCID http://orcid.org/0000-0001-8783-9877
Miranda Lauher-CharestQuality Metric, Johnston, RI, USA.ORCID http://orcid.org/0000-0003-3830-7668
Laura Tesler WaldmanQuality Metric, Johnston, RI, USA.ORCID http://orcid.org/0000-0001-9968-7057
Kristi JacksonQuality Metric, Johnston, RI, USA.ORCID http://orcid.org/0000-0003-0081-5165
Mark KosinskiQuality Metric, Johnston, RI, USA.ORCID http://orcid.org/0000-0003-0563-5542
Michelle CartyQuality Metric, Johnston, RI, USA.ORCID http://orcid.org/0000-0003-2450-7693

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMapping or matching the items in a clinical outcome assessment (COA) to concepts that define a condition is a common method for evaluating a COA's concept coverage. The purpose of this research was to address the lack of formal guidance for conducting this task by developing a framework for best practices in COA concept mapping and applying it to a case study.

methodsTo develop the framework, we examined the literature and created a draft set of best practices which was then reviewed by experienced researchers through focus groups before being finalized. To conduct the case study, we extracted data from a systematic review of knee osteoarthritis (KO) symptoms and impacts and used the framework to map relevant concepts to items in the SF-36v2

resultsThe framework guides researchers in defining the purpose of and data sources for the mapping, establishing guiding principles and decision-making thresholds, and conducting the mapping exercise. The results of the case study demonstrate the usefulness of the framework in identifying 27/36 items (75%) in the SF-36v2 that addressed concepts that define KO.

conclusionThis case study illustrates how the framework for best practices in COA concept mapping may be used, highlighting how establishing clear concept definitions and guiding principles and following a structured process throughout can help produce consistent, reliable, and reproducible results. The results from this rigorous approach can provide valuable evidence to support decisions about the appropriateness of a COA for the intended patient population.

Indexed as

Outcome Assessment, Health CareConcept FormationFocus GroupsHumansOsteoarthritis, KneeQuality of LifeSurveys and QuestionnairesClinical outcome assessmentConcept mappingPatient-reported outcomeQualitative

Identifiers

PMID39207628
PMCPMC11541245

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.