ArticleJournal of intellectual disability research : JIDR2023
Measuring working alliance and technical alliance from the perspective of healthcare professionals working with people with mild intellectual disabilities: adaptation, factor structure and reliability.
Article in Journal of intellectual disability research : JIDR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Exploring How People With Intellectual Disabilities Experience the Therapeutic Alliance: A 'Best Fit' Framework Analysis Using Bordin's Model.Journal of applied research in intellectual disabilities : JARID · 2026Review
- Acceptance and Use of eHealth in Support and Psychological Therapy for People With Intellectual Disabilities: Two Cross-Sectional Studies of Health Care Professionals.JMIR formative research · 2024Article
- Measuring working alliance and technical alliance from the perspective of healthcare professionals working with people with mild intellectual disabilities: adaptation, factor structure and reliability.Journal of intellectual disability research : JIDR · 2023Article
- Validation of the Working Alliance Inventory- Short Form for Patient (WAI-S-P) in Peruvian Adults.Patient preference and adherence · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe establishment of a valuable and meaningful working alliance between people with mild intellectual disabilities (IDs) and healthcare professionals is critically important for improving both the quality of life and impact of therapy for people with mild IDs. Measuring the working alliance as a treatment or support component is therefore of utmost relevance. In light of the increased use of eHealth tools, it is also essential to measure the alliance using these tools, which is referred to as technical alliance. There was a lack of validation of these two measurements for healthcare professionals working with people with mild IDs, which this study sought to address.
methodBoth the validated Working Alliance Inventory - Short Form - MID (WAI-SF-MID) and Technical Alliance Inventory - Short Form - MID (TAI-SF-MID) for general patient populations were adapted for healthcare professionals working with people with mild IDs. A two-step approach was conducted to systematically adapt both measurements with an expert group of healthcare professionals. Confirmatory factor analysis was conducted to test a three-factor structure for both the WAI-SF-MID (N = 199) and the TAI-SF-MID (N = 139), and internal consistency was determined for both scales.
resultsAn acceptable-to-good model fit was found for both the WAI-SF-MID and the TAI-SF-MID; confirmatory factor analysis confirmed a three-factor model for both measurements. Cronbach's alpha and McDonald's omega were excellent for both total scales (≥0.90) and acceptable to good for sub-scales of both versions.
conclusionBoth the WAI-SF-MID and the TAI-SF-MID are promising measurements for determining healthcare professionals' perspective on the (digital) working alliance with people with mild IDs.
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Registered trials
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