Measuring Equine-Assisted Therapy
Validation and Confirmatory Factor Analysis of an ICF-Based Standardized Assessment-Tool
Bibliographic Data
| ID | 15510780 |
|---|---|
| Authors | Isabel Stolz (0009-0005-4960-0458, German Sport University Cologne, corresponding author), Volker Anneken (German Sport University Cologne), Ingo Froböse (German Sport University Cologne) |
| Year | 2022 |
| Volume | 19 |
| Issue | 5 |
| Pages | 2738-2738 |
| Publication date | 2022-02-26 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph19052738 |
| PMID | 35270430 |
| OpenAlex | W4214559357 |
| Language | EN |
| Citations received | 1 |
| References cited | 4 |
The International Classification of Functioning, Disability, and Health (ICF) of the World Health Organization (WHO) was established as an international framework for monitoring rehabilitation outcomes and the impacts of health interventions since, as the term "functioning" implies, it emphasizes a person's "lived health" in addition to their biological health status. Equine-assisted therapy (EAT) represents a holistic intervention approach that aims to improve both biomedical functioning and the patient's lived health in relation to performing activities and participating in social situations. In this study, the psychometric properties of an ICF-based digital assessment tool for the measurement of the rehabilitation impacts of EAT were analyzed via simultaneous confirmatory factor analyses (CFA) and reliability and sensitivity tests. In total, 265 patients from equine-assisted therapy centers in Germany were included for CFA. Change sensitivity was assessed via multi-level analyses based on 876 repeated assessments by 30 therapists. Results show satisfactory model-fit statistics; McDonald's omega (ML) showed excellent scores for the total scale (ω = 0.96) and three subscales (ω = 0.95; ω = 0.95, ω = 0.93). The tool proved itself to be change sensitive and reliable (change sensitivity p ≤ 0.001), retest r = 0.745 **, p ≤ 0.001). Overall, the developed assessment tool satisfactorily fulfills psychometric requirements and can be applied in therapeutic practice
Confirmatory factor analysis · Machine learning · Medical physics · Structural equation modeling · Computer Science · Human-Animal Interaction Studies · Medicine · Psychology · Veterinary Orthopedics and Neurology · Veterinary Practice and Education Studies
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |