Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Clinical Trial
. 2023 Dec 18:11:e16685.
doi: 10.7717/peerj.16685. eCollection 2023.

Psychometric validation of the Ostomy Skin Tool 2.0

Gregor Jemec  1 , Nana Overgaard Herschend  2 , Helle Doré Hansen  2 , Amy Findley  3 , Abi Williams  3 , Kate Sully  3 , Tonny Karlsmark  4 , Zenia Størling  2
Affiliations
Clinical Trial

Psychometric validation of the Ostomy Skin Tool 2.0

Gregor Jemec et al. PeerJ. .

Abstract

Background: Peristomal skin complications (PSCs) pose a major challenge for people living with an ostomy. To avoid severe PSCs, it is important that people with an ostomy check their peristomal skin condition on a regular basis and seek professional help when needed.

Aim: To validate a new ostomy skin tool (OST 2.0) that will make regular assessment of the peristomal skin easier.

Methods: Seventy subjects participating in a clinical trial were eligible for the analysis and data used for the validation. Item-level correlation with anchors, inter-item correlations, convergent validity of domains, test-retest reliability, anchor- and distribution-based methods for assessment of meaningful change were all part of the psychometric validation of the tool.

Results: A final tool was established including six patient reported outcome items and automatic assessment of the discolored peristomal area. Follow-up with cognitive debriefing interviews assured that the concepts were considered relevant for people with an ostomy.

Conclusion: The OST 2.0 demonstrated evidence supporting its reliability and validity as an outcome measure to capture both visible and non-visible peristomal skin complications.

Keywords: Ostomy; Ostomy skin tool; Peristomal skin; Psychometric validation.

PubMed Disclaimer

Conflict of interest statement

During the investigation, Nana O. Herschend, Zenia Størling and Helle Doré Hansen were employed by Coloplast A/S, and Amy Findley, Abi Williams and Kate Sully were employed by Adelphi Values.

References

    1. Andersen NK, Trøjgaard P, Herschend NO, Størling ZM. Automated assessment of peristomal skin discoloration and leakage area using artificial intelligence. Frontiers in Artificial Intelligence. 2020;3:72. doi: 10.3389/frai.2020.00072. - DOI - PMC - PubMed
    1. Atlas.ti Scientific software development GmbH B. Germany. Atlas software version 8. 2019. https://atlasti.com/ https://atlasti.com/
    1. Bobak CA, Barr PJ, O’Malley AJ. Estimation of an inter-rater intra-class correlation coefficient that overcomes common assumption violations in the assessment of health measurement scales. BMC Medical Research Methodology. 2018;18:93. doi: 10.1186/s12874-018-0550-6. - DOI - PMC - PubMed
    1. Campbell DT, Fiske DW. Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin. 1959;56:81–105. doi: 10.1037/h0046016. - DOI - PubMed
    1. Cohen J. Statistical power analysis for the behavioral sciences. London: Taylor & Francis; 2013.