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Article

ADL-Focused Occupation-Based Neurobehavioral Evaluation Software: Addition of a Rasch-Based Stroke Subscale to Measure Outcomes

by
Guðrún Árnadóttir
1,2,*,
Laufey Halla Atladóttir
2,
Garðar Ingvarsson
3,
Helgi Sigtryggsson
3 and
Bjarni Ármann Atlason
3
1
Landspitali, 105 Reykjavik, Iceland
2
Faculty of Medicine, University of Iceland, 102 Reykjavik, Iceland
3
Independent Researcher, 107 Reykjavik, Iceland
*
Author to whom correspondence should be addressed.
Brain Sci. 2025, 15(9), 904; https://doi.org/10.3390/brainsci15090904 (registering DOI)
Submission received: 9 July 2025 / Revised: 10 August 2025 / Accepted: 19 August 2025 / Published: 23 August 2025

Abstract

Background: Measurements are necessary in rehabilitation for evaluating service effectiveness. The ADL-focused Occupation-based Neurobehavioral Evaluation (A-ONE) is used for evaluating ADL performance and the impact of neurobehavioral impairments on the performance. Recently, Rasch-based software was constructed for the A-ONE ADL and neurobehavioral scales. It converts ordinal rating scale scores into measures, estimates missing data values and calculates the statistical significance of changes. Objectives: To expand the A-ONE software by developing a cerebrovascular accident (CVA) neurobehavioral subscale. Additionally, to pilot-test whether the ADL and CVA scales of the software can detect statistically significant improvements. Method: Rasch analysis was used for evaluating the item fit, PCA, person separation and reliability to establish the internal validity of the CVA subscale (n = 222). The external validity (n = 22) was obtained by comparing A-ONE software measures to Winsteps measures. Subsequently 21 pre–post-intervention comparisons were made of stroke patients using both the ADL and CVA scales. Results: All set criteria for internal and external validity were met. By using the software clinically after incorporating the CVA subscale, statistically significant changes were detected in 90.5% of comparisons using the ADL scale and 36.4% using the CVA scale. The intervention program used was determined to consist of 66.4% occupation-based activities. Conclusions: This study is the first to deliver a clinically deployable Rasch-based CVA subscale integrated into routine occupational therapy software. The A-ONE software offers considerable time saving for therapists and the potential to detect significant differences in performance and impairment impact. It contributes to the removal of clinical obstacles toward the use of the instrument as an outcome measure and encourages the use of measures in rehabilitation.
Keywords: ADL evaluation; CVA; instrument development; measurement; occupational therapy; outcome studies; Rasch analysis; rehabilitation; software development; stroke ADL evaluation; CVA; instrument development; measurement; occupational therapy; outcome studies; Rasch analysis; rehabilitation; software development; stroke

Share and Cite

MDPI and ACS Style

Árnadóttir, G.; Atladóttir, L.H.; Ingvarsson, G.; Sigtryggsson, H.; Atlason, B.Á. ADL-Focused Occupation-Based Neurobehavioral Evaluation Software: Addition of a Rasch-Based Stroke Subscale to Measure Outcomes. Brain Sci. 2025, 15, 904. https://doi.org/10.3390/brainsci15090904

AMA Style

Árnadóttir G, Atladóttir LH, Ingvarsson G, Sigtryggsson H, Atlason BÁ. ADL-Focused Occupation-Based Neurobehavioral Evaluation Software: Addition of a Rasch-Based Stroke Subscale to Measure Outcomes. Brain Sciences. 2025; 15(9):904. https://doi.org/10.3390/brainsci15090904

Chicago/Turabian Style

Árnadóttir, Guðrún, Laufey Halla Atladóttir, Garðar Ingvarsson, Helgi Sigtryggsson, and Bjarni Ármann Atlason. 2025. "ADL-Focused Occupation-Based Neurobehavioral Evaluation Software: Addition of a Rasch-Based Stroke Subscale to Measure Outcomes" Brain Sciences 15, no. 9: 904. https://doi.org/10.3390/brainsci15090904

APA Style

Árnadóttir, G., Atladóttir, L. H., Ingvarsson, G., Sigtryggsson, H., & Atlason, B. Á. (2025). ADL-Focused Occupation-Based Neurobehavioral Evaluation Software: Addition of a Rasch-Based Stroke Subscale to Measure Outcomes. Brain Sciences, 15(9), 904. https://doi.org/10.3390/brainsci15090904

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