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Impact of Individual and Organizational Variables on Quality of Life

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  • Laura Gómez
  • Elsa Peña
  • Benito Arias
  • Miguel Verdugo

Abstract

The general goal of this study consists of analyzing the influence of different types of human services in the quality of life of their nested users. Several multilevel models were proposed to test for significant differences not only in the overall quality of life score, but also in each of the eight core domains. Participants included 11,624 users of social and human services and the assessment quality of life instrument was the GENCAT Scale. Variables that were studied in the different models were gender, age, and diagnostic group (elderly, intellectual disability, physical disability, mental health problems, and chemical dependency) at the individual user level (level 1: individual), while type of services—in terms of the main population addressed by their supports (i.e. the aforementioned groups)—was studied at service level (level 2: organizational). In order to explain differences, individual characteristics were introduced first, types of services were introduced next, and finally joint individual and service variables were introduced in a single model. The main results of this study were that personal and organizational variables exhibited a different level of influence on users’ quality of life; and also that the type of services significantly influenced the quality of life of its users. The results of this study lead to practical implications for services providing support to these diagnostic groups, especially for those interested in managing, assessing, and improving quality of life related personal outcomes at the user level as well as quality enhancement at the organizational level. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Laura Gómez & Elsa Peña & Benito Arias & Miguel Verdugo, 2016. "Impact of Individual and Organizational Variables on Quality of Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(2), pages 649-664, January.
    • Handle: RePEc:spr:soinre:v:125:y:2016:i:2:p:649-664
    DOI: 10.1007/s11205-014-0857-6
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    References listed on IDEAS

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    1. Claudia Claes & Geert Hove & Jos Loon & Stijn Vandevelde & Robert Schalock, 2010. "Quality of Life Measurement in the Field of Intellectual Disabilities: Eight Principles for Assessing Quality of Life-Related Personal Outcomes," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 98(1), pages 61-72, August.
    2. Gómez, Laura E. & Verdugo, Miguel Ángel & Arias, Benito & Navas, Patricia & Schalock, Robert L., 2013. "The development and use of Provider Profiles at the organizational and systems level," Evaluation and Program Planning, Elsevier, vol. 40(C), pages 17-26.
    3. Laura Gomez & Benito Arias & Miguel Verdugo & Patricia Navas, 2012. "An Outcomes-Based Assessment of Quality of Life in Social Services," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 106(1), pages 81-93, March.
    4. Schalock, Robert L. & Verdugo, Miguel Angel & Gomez, Laura E., 2011. "Evidence-based practices in the field of intellectual and developmental disabilities: An international consensus approach," Evaluation and Program Planning, Elsevier, vol. 34(3), pages 273-282, August.
    5. Laura Gómez & Miguel Verdugo & Benito Arias & Víctor Arias, 2011. "A Comparison of Alternative Models of Individual Quality of Life for Social Service Recipients," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 101(1), pages 109-126, March.
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    Cited by:

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    2. Maria Carbó-Carreté & Cristina Cañete-Massé & María D. Figueroa-Jiménez & Maribel Peró-Cebollero & Joan Guàrdia-Olmos, 2020. "Relationship between Quality of Life and the Complexity of Default Mode Network in Resting State Functional Magnetic Resonance Image in Down Syndrome," IJERPH, MDPI, vol. 17(19), pages 1-14, September.
    3. Iluminada Fuertes-Fuertes & J. David Cabedo & Inmaculada Jimeno-García, 2019. "Capturing the Invisible Wealth in Nonprofits to Overcome Myopic Perceptions," Sustainability, MDPI, vol. 12(1), pages 1-18, December.
    4. Chris Swerts & Laura E. Gómez & Jessica Maeyer & Goedele Nil & Wouter Vanderplasschen, 2022. "Development of the Quality of Life in Youth Services Scale (QOLYSS): Content-Related Validity Evidence Based on Adolescents’ and Expert Reviewers’ Perspectives," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(2), pages 593-612, April.
    5. Nele Van Hecke & Claudia Claes & Wouter Vanderplasschen & Jessica De Maeyer & Nico De Witte & Stijn Vandevelde, 2018. "Conceptualisation and Measurement of Quality of Life Based on Schalock and Verdugo’s Model: A Cross-Disciplinary Review of the Literature," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 335-351, May.

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