The Dutch version of the Quebec User Evaluation of Satisfaction with assistive technology<\/strong> (D-QUEST<\/a>) is an internationally recognized, standardized self-report outcome measure designed to evaluate consumer satisfaction with a broad spectrum of assistive technology devices and related service provision. Adapted by Roelof D. Wessels and Luc P. de Witte from the revised Quebec User Evaluation of Satisfaction with assistive technology (QUEST 2.0)<\/a> originally formulated by Louise Demers, Rhoda Weiss-Lambrou, and Bernadette Ska, the D-QUEST operationalizes satisfaction across two distinct, psychometrically robust dimensions: the Device<\/em> subscale (comprising 8 items evaluating physical dimensions, weight, adjustability, safety, durability, ease of use, comfort, and effectiveness) and the Services<\/em> subscale (comprising 4 items assessing service delivery, repairs and servicing, professional service, and follow-up support).<\/p>\n Administered via a 5-point ordinal Likert scale<\/a> ranging from 1 (Not satisfied at all \/ Helemaal niet tevreden<\/em>) to 5 (Very satisfied \/ Zeer tevreden<\/em>), the instrument produces discrete subscale scores as well as an omnibus Total D-QUEST satisfaction score. Psychometric evaluations across diverse Dutch and international clinical populations\u2014spanning older adults, individuals with progressive neuromuscular conditions, stroke survivors, and mobility device users\u2014demonstrate solid internal consistency (Cronbach’s alpha<\/a> typically ranging between .72 and .85 across subscales and reaching up to .88 for the total score), excellent test-retest reliability (intraclass correlation coefficients<\/a> [ICC] ≥ .75), and strong construct validity corroborated by exploratory<\/a> and confirmatory factor analyses<\/a>. The D-QUEST serves as a vital clinical audit and research instrument that bridges rehabilitation engineering, clinical occupational therapy, and health policy<\/span>.<\/p>\n D-QUEST, Quebec User Evaluation of Satisfaction with assistive technology, Assistive Technology, Patient-Reported Outcome Measures, Psychometrics, Rehabilitation Engineering, User Satisfaction, Device Abandonment, Service Delivery Evaluation, ICF Environmental Factors<\/p>\n The Quebec User Evaluation of Satisfaction with assistive technology (QUEST) was originally conceived, developed, and validated in Quebec, Canada, by:<\/p>\n The cross-cultural adaptation and psychometric validation of the Dutch version (D-QUEST) were conducted by:<\/p>\n The primary purpose of the Dutch version of the Quebec User Evaluation of Satisfaction with assistive technology (D-QUEST) is to quantitatively and qualitatively assess an individual user’s satisfaction with an assistive technology device and the professional services accompanying its prescription and delivery. Assistive technology (AT) interventions encompass a wide spectrum of functional aids, ranging from basic mobility equipment (e.g., walking frames, manual and powered wheelchairs) and sensory prostheses (e.g., hearing aids, optical magnifiers) to complex augmentative and alternative communication (AAC) devices and environmental control systems. Despite the recognized potential of AT to foster independence, community reintegration, and subjective well-being, literature in clinical rehabilitation highlights substantial rates of device abandonment<\/a>\u2014frequently estimated between 30% and 50% within the first year post-provision.<\/p>\n Device abandonment often stems not from inherent mechanical failure alone, but from a mismatch between the individual’s dynamic functional needs, lifestyle demands, subjective expectations, and the socio-environmental context, compounded by inadequate clinical training, follow-up, and servicing. The D-QUEST was specifically adapted to mitigate these clinical bottlenecks by providing a systematic, standardized mechanism to capture the user’s voice within the Dutch healthcare and social insurance landscape. Rather than evaluating functional capacity in isolation (e.g., as measured by the Functional Independence Measure), the D-QUEST operationalizes the recipient’s evaluation of the technology’s performance and the delivery process.<\/p>\n In clinical practice, the D-QUEST is employed as a diagnostic and evaluative tool. Administered during follow-up consultations (typically 6 weeks to 6 months post-delivery), it pinpoints specific sources of dissatisfaction\u2014such as cumbersome weight, poor adjustability, unreliability, or delays in repair. This diagnostic granularity allows occupational therapists, physical therapists, and rehabilitation engineers to implement targeted remedial actions, such as recalibrating seating ergonomics, replacing defective components, or offering supplemental user education. In research and policy arenas, the D-QUEST serves as a standardized quality indicator, facilitating comparative effectiveness research across competing technical brands, evaluating the cost-utility of specialized rehabilitation service delivery models, and supporting value-based purchasing agreements among public health insurers and equipment vendors.<\/p>\n The underlying construct evaluated by the D-QUEST is user satisfaction with assistive technology<\/strong>, conceptualized as a multi-attribute, multidimensional judgment reflecting the congruence between an individual’s expectations, physical capabilities, and lived experiences with both the hardware and the organizational infrastructure supporting it. Rooted in consumer psychology and psychometrics, satisfaction is treated not as a passive absence of complaint, but as an active cognitive-affective appraisal of specific attributes. In the D-QUEST framework, this construct is bifurcated into two primary domains:<\/p>\n The Device domain encompasses eight discrete ergonomic, functional, structural, and aesthetic attributes:<\/p>\n The Services domain recognizes that assistive hardware cannot be detached from the systemic healthcare context in which it is acquired, maintained, and adjusted:<\/p>\n The D-QUEST is theoretically rooted at the intersection of consumer satisfaction paradigms, the International Classification of Functioning, Disability and Health (ICF)<\/a>, and specialized human-technology interaction models.<\/p>\n First articulated by Richard L. Oliver in 1980, Expectancy-Disconfirmation Theory<\/a> posits that satisfaction is a psychological state derived from the comparison between pre-exposure expectations and actual perceived performance. If the assistive device functions better than anticipated, positive disconfirmation occurs, eliciting high satisfaction. If the device underperforms\u2014such as being heavier, less maneuverable, or slower than envisioned\u2014negative disconfirmation results in dissatisfaction. The D-QUEST systematically assesses performance across specific operational facets, capturing where negative disconfirmation emerges and facilitating targeted interventions.<\/p>\n Formulated by Marcia Scherer, the Matching Person & Technology (MPT) model<\/a> emphasizes that successful assistive technology integration requires harmonious alignment across three domains: the person<\/em> (predispositions, cognitive\/physical capacity, coping style), the milieu<\/em> (physical environment, social expectations, financial\/institutional support), and the technology<\/em> (features, aesthetics, reliability). The D-QUEST’s dual-scale architecture directly mirrors the MPT framework by isolating technology-specific variables (Device subscale) from milieu- and organizational-specific dynamics (Services subscale).<\/p>\n Under the ICF framework established by the World Health Organization<\/a>, assistive products and technology are classified as Environmental Factors<\/em> (Chapter 1: Products and Technology, e115). Environmental factors act as either facilitators or barriers to an individual’s Body Functions and Structures, Activities, and Participation. The D-QUEST functions as a specialized measurement tool capturing whether these environmental inputs successfully fulfill their role as facilitators. Dissatisfaction with dimensions, safety, or repairs signals that the assistive intervention continues to function as an environmental barrier, impeding community participation and autonomy.<\/p>\n The psychometric validity of the D-QUEST has been established across multiple validation protocols within Dutch rehabilitation clinics, long-term care facilities, and community living networks.<\/p>\n Content validity was confirmed during the initial Canadian formulation via extensive panels of assistive technology users, occupational therapists, and rehabilitation engineers, followed by rigorous forward-backward translation protocols during the Dutch adaptation by Wessels and de Witte (2003). Clinicians and end-users confirmed that the 12 items comprehensively cover the most critical determinants of satisfaction without imposing undue cognitive burden. Furthermore, the inclusion of an open-ended feedback section alongside an item prioritization task (where respondents select their three most important satisfaction criteria) ensures strong face validity and ecological utility.<\/p>\n Construct validity has been verified through convergence with complementary self-report outcome measures. The D-QUEST exhibits statistically significant moderate-to-strong positive correlations with the Psychosocial Impact of Assistive Devices Scale<\/em> (PIADS), particularly on the Competence and Self-Esteem subscales ($r = .38$<\/span> to $.56, p < .01$<\/span>). Users reporting higher satisfaction on the D-QUEST Device subscale consistently show higher levels of perceived functional independence on the Barthel Index and higher scores on generalized health-related quality of life instruments, such as the SF-36<\/a> Physical Functioning and Vitality scales ($r = .32$<\/span> to $.48$<\/span>).<\/p>\n The D-QUEST demonstrates robust discriminant validity. In field studies comparing individuals who continued utilizing their prescribed aids versus those categorized as “non-users” or “abandoners,” the D-QUEST demonstrated profound known-groups divergence. Active users exhibited significantly higher Total and Device subscale scores (mean $ge 4.1$<\/span>) compared to abandoners (mean $le 2.4$<\/span>, $t$<\/span>-test $p < .001$<\/span>). Furthermore, the instrument successfully discriminates between categories of technology with distinct maintenance profiles; complex powered mobility aids display significantly greater variability in the Services subscale than static, non-mechanical devices (e.g., standard grab bars or static cushions), reflecting differential exposure to repair and servicing logistics.<\/p>\n Reliability testing of the D-QUEST demonstrates high internal consistency and longitudinal measurement stability across varied clinical sub-cohorts.<\/p>\n The internal consistency of the D-QUEST has been evaluated extensively using Cronbach’s alpha ($\u0007lpha$<\/span>). Validation data from Wessels, de Witte, and colleagues yield the following coefficients:<\/p>\n Temporal stability has been established through test-retest administration protocols over intervals of 7 to 14 days among clinically stable assistive technology users. Using intraclass correlation coefficients (ICC, two-way mixed-effects model, absolute agreement), the D-QUEST demonstrates high stability:<\/p>\n The standard error of measurement<\/a> (SEM) and minimal detectable change (MDC at 95% confidence) are established at approximately 0.28 and 0.78 points, respectively, providing clinicians with clear benchmarks to differentiate true clinical shifts from stochastic measurement error.<\/p>\n The structural dimensionality of the QUEST 2.0 and its Dutch adaptation has been subjected to empirical verification using both Exploratory Factor Analysis<\/a> (EFA) and Confirmatory Factor Analysis<\/a> (CFA).<\/p>\n Early psychometric investigations of the Canadian original and Dutch validation cohorts employed principal component analysis (PCA) with both Varimax (orthogonal) and Oblimin (oblique) rotations. Across studies, scree plots and Kaiser’s criterion (eigenvalues > 1.0) consistently revealed a robust two-factor solution<\/strong> accounting for 51% to 62% of the total variance<\/span>:<\/p>\n Subsequent confirmatory factor analyses evaluated the goodness-of-fit for this hypothesized two-factor oblique structure against alternative unidimensional models. CFA model evaluations yielded superior fit indices for the two-factor construct:<\/p>\n A single-factor omnibus model exhibited markedly poor fit ($\text{CFI} < .80, \text{RMSEA} > .12$), empirically demonstrating that user satisfaction with assistive technology is fundamentally dual-dimensional<\/span>.<\/p>\n The original Quebec User Evaluation of Satisfaction with assistive technology (QUEST 1.0) was introduced in 1996 by Louise Demers, Rhoda Weiss-Lambrou, and Bernadette Ska, followed by the definitive psychometric release of QUEST 2.0 in 2000\/2002. The cross-cultural Dutch adaptation (D-QUEST) was validated and published by Roelof D. Wessels and Luc P. de Witte in 2003 through the Institute for Rehabilitation Research (iRv) in Hoensbroek, The Netherlands.<\/p>\n Licensing and Accessibility:<\/strong> The D-QUEST and QUEST 2.0 are widely available for clinical practice, academic research, and non-commercial institutional audits. The copyright of the original QUEST instrument resides with the developers (Universit\u00e9 de Montr\u00e9al \/ Demers et al.). Clinicians and independent researchers may access and administer the questionnaire without per-administration royalty fees, provided full bibliographic attribution is maintained and the items are presented in their verified, validated sequence without unauthorized alteration. Commercial organizations, health insurance carriers deploying the scale for proprietary auditing, or software developers integrating the instrument into fee-for-service electronic health record (EHR) platforms must obtain explicit written authorization from the copyright holders.<\/p>\n Demers, L., Weiss-Lambrou, R., & Ska, B. (1996). Development of the Quebec User Evaluation of Satisfaction with assistive Technology (QUEST). Assistive Technology<\/em>, 8(1), 3\u201313. https:\/\/doi.org\/10.1080\/10400435.1996.10132268<\/a><\/p>\n Demers, L., Weiss-Lambrou, R., & Ska, B. (2002). The Quebec User Evaluation of Satisfaction with assistive Technology (QUEST 2.0): An overview and recent progress. Technology and Disability<\/em>, 14(3), 101\u2013105. https:\/\/doi.org\/10.3233\/TAD-2002-14304<\/a><\/p>\n Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research<\/em>, 17(4), 460\u2013469. https:\/\/doi.org\/10.1177\/002224378001700405<\/a><\/p>\n Scherer, M. J. (2005). Living in the state of stuck: How assistive technology impacts the lives of people with disabilities<\/em> (4th ed.). Brookline Books.<\/p>\n Wessels, R. D., & de Witte, L. P. (2003). Reliability and validity of the Dutch version of QUEST 2.0 with users of various types of assistive devices. Technology and Disability<\/em>, 15(4), 267\u2013272. https:\/\/doi.org\/10.3233\/TAD-2003-15408<\/a><\/p>\n Wessels, R., Dijcks, B., Soede, M., Gelderblom, G. J., & De Witte, L. (2003). Non-use of provided assistive technology devices: A literature overview. Technology and Disability<\/em>, 15(4), 231\u2013238. https:\/\/doi.org\/10.3233\/TAD-2003-15404<\/a><\/p>\n2. Keywords<\/h2>\n
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4. Purpose<\/h2>\n
5. Psychological Construct<\/h2>\n
1. Device Satisfaction (Items 1\u20138)<\/h3>\n
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2. Services Satisfaction (Items 9\u201312)<\/h3>\n
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6. Theoretical Framework<\/h2>\n
Expectancy-Disconfirmation Theory (EDT)<\/h3>\n
The Matching Person & Technology (MPT) Model<\/h3>\n
WHO International Classification of Functioning (ICF)<\/h3>\n
7. Validity<\/h2>\n
Content and Face Validity<\/h3>\n
Construct and Convergent Validity<\/h3>\n
Discriminant and Known-Groups Validity<\/h3>\n
8. Reliability<\/h2>\n
Internal Consistency<\/h3>\n
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Test-Retest Reliability and Stability<\/h3>\n
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9. Factor Analysis<\/h2>\n
Exploratory Factor Analysis (EFA)<\/h3>\n
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Confirmatory Factor Analysis (CFA)<\/h3>\n
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10. Instrument \/ Measurement Tool<\/h2>\n
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11. Permissions & Fee and Test Year<\/h2>\n
12. References<\/h2>\n