The influence of supports strategies, environmental factors, and client characteristics on quality of life-related personal outcomes

Claes, Claudia; Hove, Geert Van; Vandevelde, Stijn; Loon, Jos van; Schalock, Robert L.

doi:10.1016/j.ridd.2011.08.024

Cited by 107 publications

(132 citation statements)

References 37 publications

Supporting

Mentioning

108

Contrasting

Unclassified

Order By: Relevance

“…Recent studies have shown the influence of different sets of variables related to personal characteristics and environmental factors (Claes, Van Hove, Vandevelde, van Loon, & Schalock, 2012;Felce et al, 2008;Gómez, Peña, Arias, & Verdugo, 2014;Ticha, Hewitt, Nord, & Larson, 2013;Wehmeyer & Garner, 2003).…”

Section: ) "On the Base Of Recent Work In The Field Of Individual-refmentioning

confidence: 99%

“…The application of this concept in daily practice was central to QoL. Thompson et al (2002, p. 390) showed that QoL could be promoted by the delivery of specific supports, but understanding the influence of personal support and support needs on QoL has been more theoretically investigated (Schalock and Verdugo, 2012) than empirically (Claes et al, 2012).…”

Section: ) "On the Base Of Recent Work In The Field Of Individual-refmentioning

confidence: 99%

“…Consequently, a research need emerged to understand which services (Gómez et al, 2014) are better aligned to produce QoL outcomes for specific populations (Gomez, Verdugo, Arias, Navas, & Schalock, 2013). Moreover, a wider comprehension of which variables relate to an improvement of QoL and which variables are mostly influencing the QoL was required (Schalock & Luckasson, 2014), as the study of Claes et al (2012) exploratory investigated. The present study aimed to comprehensively investigate the interrelations between the process of service provision and the achievement of QoL outcomes.…”

Section: ) "On the Base Of Recent Work In The Field Of Individual-refmentioning

confidence: 99%

“…The socio-ecological variables and supports provided to clients are investigated to better explain actual QoL outcomes of services for people with intellectual and developmental disabilities (IDD) in Italy, as previously investigated, at user level, by Claes et al (2012) in Holland and, at organization level, by Gómez et al (2014), in Catalunia. The present study further investigated the predictors' influence of all the listed variables.…”

Section: Aimsmentioning

confidence: 99%

“…The hierarchical multiple regression analysis incorporated five predictor clusters for QoL outcomes, based on previous studies by Claes et al (2012), Schalock et al (2007), and Schalock and Verdugo (2012). The specific clusters employed are shown in Table 2 and briefly described below.…”

Section: Regression Analysismentioning

confidence: 99%

See 4 more Smart Citations

Factors predicting quality of life for people with intellectual disability: Results from the ANFFAS study in Italy

Lombardi¹,

Croce²,

Claes³

et al. 2016

Journal of Intellectual & Developmental Disability

Self Cite

View full text Add to dashboard Cite

Background: This study describes the socio-demographic, clinical and functional characteristics of a representative sample of services users in Italy. The supports provided by formal agencies, natural networks and actual levels of quality of life (QoL) were assessed. Methods: 1,285 individuals with intellectual and developmental disabilities (IDD) served by 23 different services participated to the study. The influence of availability of support strategies, environmental factors, client characteristics, personal desires and goals, and support needs on the current QoL status was investigated using multiple regression. Results: QoL outcomes were significantly explained by support needs, client characteristics, personal goals and desires, and marginally by the presence of support strategies and environmental factors. Further, only a minor effect was found from support activities for general QoL outcomes. Conclusions: the results confirmed that the personal outcomes could be predicted providing support activities aligned to the specific personal needs and goals, confirming the importance of Personal Centered Planning process.

show abstract

Section: ) "On the Base Of Recent Work In The Field Of Individual-refmentioning

confidence: 99%

Section: ) "On the Base Of Recent Work In The Field Of Individual-refmentioning

confidence: 99%

Section: ) "On the Base Of Recent Work In The Field Of Individual-refmentioning

confidence: 99%

Section: Aimsmentioning

confidence: 99%

Section: Regression Analysismentioning

confidence: 99%

See 3 more Smart Citations

Factors predicting quality of life for people with intellectual disability: Results from the ANFFAS study in Italy

Lombardi¹,

Croce²,

Claes³

et al. 2016

Journal of Intellectual & Developmental Disability

Self Cite

View full text Add to dashboard Cite

show abstract

Utilizing network analysis to identify core items of quality of life for children with autism spectrum disorder

Liu,

Chezan,

Zhao

et al. 2024

Autism Research

View full text Add to dashboard Cite

The purpose of this study was to develop and validate an ultra‐short scale called the Quality of Life for Children with Autism Spectrum Disorder 3 (QOLASD‐C3) from the full 16‐item QOLASD‐C scale. We first used network analysis to identify three core items to be retained on the QOLASD‐C3 scale. Second, we used Cronbach's alpha and Pearson Product Moment correlations to determine the reliability and validity of the scale. Third, an optimal cut‐off score of 6 was identified for the using receiver operating characteristic curve analysis. Finally, we used logistic regression to examine the similarities in the classification status based on demographic characteristics between the quality of life (QOL) status using the QOLASD‐C and the QOLASD‐C3 scales. Results were similar across the two versions and suggested variations in QOL status based on race/ethnicity, autism spectrum disorder (ASD) severity, and parents' socio‐economic status. Implications for research and practice are discussed.

show abstract

Adaptive Behavior and Functional Life Skills Across the Lifespan: Conceptual and Measurement Issues

Tassé

2021

Autism and Child Psychopathology Series

View full text Add to dashboard Cite

The influence of supports strategies, environmental factors, and client characteristics on quality of life-related personal outcomes

Cited by 107 publications

References 37 publications

Factors predicting quality of life for people with intellectual disability: Results from the ANFFAS study in Italy

Factors predicting quality of life for people with intellectual disability: Results from the ANFFAS study in Italy

Utilizing network analysis to identify core items of quality of life for children with autism spectrum disorder

Adaptive Behavior and Functional Life Skills Across the Lifespan: Conceptual and Measurement Issues

Contact Info

Product

Resources

About