Empirical evidence for a process-based model of health-related quality of life using network analysis
BackgroundHealth-related quality of life (HRQL) is the perceived impact of a medical condition on one's overall wellbeing. While contemporary assessments are structured to evaluate an individual's HRQL state, we propose a complementary process-based model, which is defined as an appraisal...
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Frontiers Media S.A.
2025-01-01
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author | Nicolette Stogios Nicolette Stogios Troy Francis Troy Francis Rachel G. Peiris Aleksandra Stanimirovic Aleksandra Stanimirovic Valeria Rac Valeria Rac Robert P. Nolan Robert P. Nolan |
author_facet | Nicolette Stogios Nicolette Stogios Troy Francis Troy Francis Rachel G. Peiris Aleksandra Stanimirovic Aleksandra Stanimirovic Valeria Rac Valeria Rac Robert P. Nolan Robert P. Nolan |
author_sort | Nicolette Stogios |
collection | DOAJ |
description | BackgroundHealth-related quality of life (HRQL) is the perceived impact of a medical condition on one's overall wellbeing. While contemporary assessments are structured to evaluate an individual's HRQL state, we propose a complementary process-based model, which is defined as an appraisal that evolves over time as it reflects and informs a self-regulatory process of adapting to dynamic changes in bio-psycho-social life domains. In support of this approach, we developed a novel HRQL assessment tool called the EUROIA: EvalUation of goal-diRected activities to prOmote wellbeIng and heAlth, which uses self-report data to assess the frequency with which individuals engage in a sample of goal-directed activities in pursuit of living well.MethodsWe conducted a network analysis to evaluate the hypothesis that the EUROIA subscales would demonstrate a meaningful pattern of associations with an established HRQL measure and associated indices of psychosocial functioning and efficacy in self-managing a chronic medical condition.ResultsThe EUROIA is associated with established indices of HRQL in a manner that is theoretically consistent with our process-based model. Stability coefficients (i.e., betweenness, closeness, and strength) of the analysis revealed high reliability for the network.ConclusionThis analysis provides support for the validation of a process-based approach to HRQL assessment, which is represented, in part, by the EUROIA. A process-based approach complements and expands conventional measures of HRQL by focusing on how a patient's capacity to engage in goal-directed activities for living well is affected by their medical condition. |
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institution | Kabale University |
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language | English |
publishDate | 2025-01-01 |
publisher | Frontiers Media S.A. |
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spelling | doaj-art-afc541f2b26444e3aeae8fc88c5b44662025-01-21T05:43:00ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-01-011310.3389/fpubh.2025.15221331522133Empirical evidence for a process-based model of health-related quality of life using network analysisNicolette Stogios0Nicolette Stogios1Troy Francis2Troy Francis3Rachel G. Peiris4Aleksandra Stanimirovic5Aleksandra Stanimirovic6Valeria Rac7Valeria Rac8Robert P. Nolan9Robert P. Nolan10Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, CanadaCardiac eHealth, Peter Munk Cardiac Centre, University Health Network, Toronto, ON, CanadaProgram for Health System and Technology Evaluation, Ted Rogers Centre for Heart Research, Toronto General Hospital Research Institute, University Health Network, Toronto, ON, CanadaInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, CanadaInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, CanadaProgram for Health System and Technology Evaluation, Ted Rogers Centre for Heart Research, Toronto General Hospital Research Institute, University Health Network, Toronto, ON, CanadaInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, CanadaProgram for Health System and Technology Evaluation, Ted Rogers Centre for Heart Research, Toronto General Hospital Research Institute, University Health Network, Toronto, ON, CanadaInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, CanadaCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, CanadaDepartment of Psychiatry, University of Toronto, Toronto, ON, CanadaBackgroundHealth-related quality of life (HRQL) is the perceived impact of a medical condition on one's overall wellbeing. While contemporary assessments are structured to evaluate an individual's HRQL state, we propose a complementary process-based model, which is defined as an appraisal that evolves over time as it reflects and informs a self-regulatory process of adapting to dynamic changes in bio-psycho-social life domains. In support of this approach, we developed a novel HRQL assessment tool called the EUROIA: EvalUation of goal-diRected activities to prOmote wellbeIng and heAlth, which uses self-report data to assess the frequency with which individuals engage in a sample of goal-directed activities in pursuit of living well.MethodsWe conducted a network analysis to evaluate the hypothesis that the EUROIA subscales would demonstrate a meaningful pattern of associations with an established HRQL measure and associated indices of psychosocial functioning and efficacy in self-managing a chronic medical condition.ResultsThe EUROIA is associated with established indices of HRQL in a manner that is theoretically consistent with our process-based model. Stability coefficients (i.e., betweenness, closeness, and strength) of the analysis revealed high reliability for the network.ConclusionThis analysis provides support for the validation of a process-based approach to HRQL assessment, which is represented, in part, by the EUROIA. A process-based approach complements and expands conventional measures of HRQL by focusing on how a patient's capacity to engage in goal-directed activities for living well is affected by their medical condition.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1522133/fullhealth-related quality of lifenetwork analysispatient-reported outcomesprocess-based approachchronic heart failurechronic kidney disease |
spellingShingle | Nicolette Stogios Nicolette Stogios Troy Francis Troy Francis Rachel G. Peiris Aleksandra Stanimirovic Aleksandra Stanimirovic Valeria Rac Valeria Rac Robert P. Nolan Robert P. Nolan Empirical evidence for a process-based model of health-related quality of life using network analysis Frontiers in Public Health health-related quality of life network analysis patient-reported outcomes process-based approach chronic heart failure chronic kidney disease |
title | Empirical evidence for a process-based model of health-related quality of life using network analysis |
title_full | Empirical evidence for a process-based model of health-related quality of life using network analysis |
title_fullStr | Empirical evidence for a process-based model of health-related quality of life using network analysis |
title_full_unstemmed | Empirical evidence for a process-based model of health-related quality of life using network analysis |
title_short | Empirical evidence for a process-based model of health-related quality of life using network analysis |
title_sort | empirical evidence for a process based model of health related quality of life using network analysis |
topic | health-related quality of life network analysis patient-reported outcomes process-based approach chronic heart failure chronic kidney disease |
url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1522133/full |
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