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Drivers of caregiver impact in Duchenne muscular dystrophy: a cohort study
BACKGROUND: In our companion paper, we addressed the interplay between caregiver impact, out-of-pocket expenditures, and Duchenne Muscular Dystrophy (DMD) disability. We found that DMD caregiver impact could be characterized by four Latent Profile Analysis impact profiles: lowest, lower middle, uppe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911104/ https://www.ncbi.nlm.nih.gov/pubmed/35274180 http://dx.doi.org/10.1186/s41687-022-00421-6 |
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author | Schwartz, Carolyn E. Stark, Roland B. Borowiec, Katrina Rapkin, Bruce D. |
author_facet | Schwartz, Carolyn E. Stark, Roland B. Borowiec, Katrina Rapkin, Bruce D. |
author_sort | Schwartz, Carolyn E. |
collection | PubMed |
description | BACKGROUND: In our companion paper, we addressed the interplay between caregiver impact, out-of-pocket expenditures, and Duchenne Muscular Dystrophy (DMD) disability. We found that DMD caregiver impact could be characterized by four Latent Profile Analysis impact profiles: lowest, lower middle, upper middle, and highest impact. The impact on caregivers was often but not always worse with greater out-of-pocket expenditures. Further, while the lowest-, lower-middle, and highest-impact profiles reflected low, moderate and high disability-related caregiver burden, respectively, the upper-middle profile group was quite variable in level of disability across domains. To better understand the four caregiver-impact profiles, we examine how a comprehensive set of psychosocial factors differentiate the four profile groups. METHODS: Psychosocial factors assessed included demographic characteristics, quality of life (QOL), stress, cognitive appraisal, reserve-building, and general and COVID-specific resilience. Linear modeling examined relationships between impact profiles and psychosocial factors. We used effect size rather than p-value as the criterion for determining relevance of the broad range of characteristics examined. RESULTS: Multivariate analyses implicated stress and environmental mastery, appraisal sampling of experience, COVID-specific variables, appraisal standards of comparison, appraisal goals, demographics, appraisal combinatory algorithm, reserve-building, and resilience, in order of prominence (average eta(2) = 0.29, 0.29, 0.16, 0.15, 0.09, 0.07, 0.07, 0.06, 0.05, and 0.02, respectively). On the whole, comparisons of highest-versus-lowest impact profiles revealed more and larger differences than comparisons of upper-middle versus lower-middle impact profiles. Life stress, goals, and reserve-building activities had a smaller differentiating effect in the middle groups. CONCLUSION: A more comprehensive ‘story’ about DMD caregiver impact involves life stress, environmental mastery, COVID-specific variables, and cognitive and behavioral factors. Implications are discussed for coaching interventions to support DMD caregivers. |
format | Online Article Text |
id | pubmed-8911104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-89111042022-03-11 Drivers of caregiver impact in Duchenne muscular dystrophy: a cohort study Schwartz, Carolyn E. Stark, Roland B. Borowiec, Katrina Rapkin, Bruce D. J Patient Rep Outcomes Research BACKGROUND: In our companion paper, we addressed the interplay between caregiver impact, out-of-pocket expenditures, and Duchenne Muscular Dystrophy (DMD) disability. We found that DMD caregiver impact could be characterized by four Latent Profile Analysis impact profiles: lowest, lower middle, upper middle, and highest impact. The impact on caregivers was often but not always worse with greater out-of-pocket expenditures. Further, while the lowest-, lower-middle, and highest-impact profiles reflected low, moderate and high disability-related caregiver burden, respectively, the upper-middle profile group was quite variable in level of disability across domains. To better understand the four caregiver-impact profiles, we examine how a comprehensive set of psychosocial factors differentiate the four profile groups. METHODS: Psychosocial factors assessed included demographic characteristics, quality of life (QOL), stress, cognitive appraisal, reserve-building, and general and COVID-specific resilience. Linear modeling examined relationships between impact profiles and psychosocial factors. We used effect size rather than p-value as the criterion for determining relevance of the broad range of characteristics examined. RESULTS: Multivariate analyses implicated stress and environmental mastery, appraisal sampling of experience, COVID-specific variables, appraisal standards of comparison, appraisal goals, demographics, appraisal combinatory algorithm, reserve-building, and resilience, in order of prominence (average eta(2) = 0.29, 0.29, 0.16, 0.15, 0.09, 0.07, 0.07, 0.06, 0.05, and 0.02, respectively). On the whole, comparisons of highest-versus-lowest impact profiles revealed more and larger differences than comparisons of upper-middle versus lower-middle impact profiles. Life stress, goals, and reserve-building activities had a smaller differentiating effect in the middle groups. CONCLUSION: A more comprehensive ‘story’ about DMD caregiver impact involves life stress, environmental mastery, COVID-specific variables, and cognitive and behavioral factors. Implications are discussed for coaching interventions to support DMD caregivers. Springer International Publishing 2022-03-10 /pmc/articles/PMC8911104/ /pubmed/35274180 http://dx.doi.org/10.1186/s41687-022-00421-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Schwartz, Carolyn E. Stark, Roland B. Borowiec, Katrina Rapkin, Bruce D. Drivers of caregiver impact in Duchenne muscular dystrophy: a cohort study |
title | Drivers of caregiver impact in Duchenne muscular dystrophy: a cohort study |
title_full | Drivers of caregiver impact in Duchenne muscular dystrophy: a cohort study |
title_fullStr | Drivers of caregiver impact in Duchenne muscular dystrophy: a cohort study |
title_full_unstemmed | Drivers of caregiver impact in Duchenne muscular dystrophy: a cohort study |
title_short | Drivers of caregiver impact in Duchenne muscular dystrophy: a cohort study |
title_sort | drivers of caregiver impact in duchenne muscular dystrophy: a cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911104/ https://www.ncbi.nlm.nih.gov/pubmed/35274180 http://dx.doi.org/10.1186/s41687-022-00421-6 |
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