Evidence map›Paper›PMID 37275402›Full record

ArticleFrontiers in rehabilitation sciences2023

Development of the self-regulation assessment and content validation using cognitive interviews in a multicultural post-rehabilitation population.

Tanja Mol, Eline Scholten, Coen van Bennekom, Marcel Post

Abstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

4 authors.

Tanja MolCenter of Excellence for Rehabilitation Medicine, University Medical Center Utrecht, Utrecht, Netherlands.
Eline ScholtenCenter of Excellence for Rehabilitation Medicine, University Medical Center Utrecht, Utrecht, Netherlands.
Coen van BennekomDepartment of Research and Development, Rehabilitation Centre Heliomare, Wijk aan Zee, Netherlands.
Marcel PostCenter of Excellence for Rehabilitation Medicine, University Medical Center Utrecht, Utrecht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Self-regulation is one of the main goals of medical rehabilitation. Four themes of self-regulation were identified by former patients and rehabilitation physicians in a previous study. Based on these themes, a measure for self-regulation, the self-regulation assessment (SeRA), was developed. This study aimed to establish the content validity of the SeRA in a multicultural and multi-diagnostic post-rehabilitation population. Methods: The Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) methodology was applied. First, cognitive interviews were held with eight former rehabilitation patients. Feedback was obtained on relevance, comprehensibility, and comprehensiveness of the items. Items with problems were revised. Then, a second series of cognitive interviews was held with 16 former rehabilitation patients with non-Western migration backgrounds. Again, feedback was obtained on relevance, comprehensibility, and comprehensiveness of the items. Results: The first series of cognitive interviews revealed good comprehensiveness, and also comprehensibility or relevance problems with 12 of the 25 items. These items were revised or deleted. Two missing concepts were identified and these were added. There was no need to revise the items based on the results of the second series of cognitive interviews. Conclusion: The final version of the SeRA demonstrated content validity for the studied population. The measure is ready for psychometric analyses in subsequent validation studies.

Indexed as

content validitymeasurementmulti-diagnosticrehabilitationself-regulation

Identifiers

PMID37275402
PMCPMC10237367

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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.