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Family resilience and its influencing factors among advanced cancer patients and their family caregivers: a multilevel modeling analysis

BACKGROUND: Cancer is highly prevalent worldwide. Family resilience is a positive variable that helps families burdened by advanced cancer to cope effectively. This study aimed to describe the family resilience of advanced cancer patients and caregivers in dyads and identify its influencing factors...

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Autores principales: Cui, Panpan, Shi, Jiaoxia, Li, Shifeng, Getu, Mikiyas Amare, Wang, Ruibo, Chen, Changying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320962/
https://www.ncbi.nlm.nih.gov/pubmed/37403053
http://dx.doi.org/10.1186/s12885-023-11101-z
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author Cui, Panpan
Shi, Jiaoxia
Li, Shifeng
Getu, Mikiyas Amare
Wang, Ruibo
Chen, Changying
author_facet Cui, Panpan
Shi, Jiaoxia
Li, Shifeng
Getu, Mikiyas Amare
Wang, Ruibo
Chen, Changying
author_sort Cui, Panpan
collection PubMed
description BACKGROUND: Cancer is highly prevalent worldwide. Family resilience is a positive variable that helps families burdened by advanced cancer to cope effectively. This study aimed to describe the family resilience of advanced cancer patients and caregivers in dyads and identify its influencing factors at the individual and dyadic levels. METHODS: This multisite cross-sectional study was conducted in oncology units in five tertiary hospitals in China. A total of 270 advanced cancer patient-caregiver dyads were recruited between June 2020 and March 2021. Patients’ and caregivers’ family resilience was measured by the Family Resilience Assessment Scale. Data on potential influencing factors, including demographic and disease-related characteristics as well as family sense of coherence, psychological resilience, perceived social support, symptom burden, and caregiver burden, were collected. Multilevel modeling analysis was adopted to control for the interdependence of the dyads. RESULTS: A total of 241 dyads were included in the data analysis. The mean ages of patients and caregivers were 53.96 (SD 15.37) and 45.18 (SD 13.79) years, respectively. Most caregivers were spouses and adult children (45.6% and 39.0%, respectively). Patients reported a higher mean family resilience score than caregivers (152.56 vs. 149.87, respectively). Undergoing fewer than two types of treatment and a lower symptom burden of patients predicted higher patient (B = -9.702, -0.134, respectively) and caregiver (B = -5.462, -0.096, respectively) family resilience. Patients also reported higher family resilience under the following conditions: 1) were on a medical insurance plan other than the new rural cooperative medical system (B = 6.089), 2) had a better family sense of coherence (B = 0.415), 3) whose caregivers were unmarried (B = 8.618), perceived lower social support (B = -0.145) and higher psychological resilience (B = 0.313). Caregivers who were ≤ 44 years old (B = -3.221), had similar previous caregiving experience (B = 7.706), and had a stronger family sense of coherence (B = 0.391) reported higher family resilience. CONCLUSIONS: Our findings highlight the importance of adopting a dyadic approach when caring for advanced cancer patients and their caregivers. Dyadic longitudinal research is suggested to discover more modifiable factors of family resilience and tailored interventions are needed to obtain optimal dyadic outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11101-z.
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spelling pubmed-103209622023-07-06 Family resilience and its influencing factors among advanced cancer patients and their family caregivers: a multilevel modeling analysis Cui, Panpan Shi, Jiaoxia Li, Shifeng Getu, Mikiyas Amare Wang, Ruibo Chen, Changying BMC Cancer Research BACKGROUND: Cancer is highly prevalent worldwide. Family resilience is a positive variable that helps families burdened by advanced cancer to cope effectively. This study aimed to describe the family resilience of advanced cancer patients and caregivers in dyads and identify its influencing factors at the individual and dyadic levels. METHODS: This multisite cross-sectional study was conducted in oncology units in five tertiary hospitals in China. A total of 270 advanced cancer patient-caregiver dyads were recruited between June 2020 and March 2021. Patients’ and caregivers’ family resilience was measured by the Family Resilience Assessment Scale. Data on potential influencing factors, including demographic and disease-related characteristics as well as family sense of coherence, psychological resilience, perceived social support, symptom burden, and caregiver burden, were collected. Multilevel modeling analysis was adopted to control for the interdependence of the dyads. RESULTS: A total of 241 dyads were included in the data analysis. The mean ages of patients and caregivers were 53.96 (SD 15.37) and 45.18 (SD 13.79) years, respectively. Most caregivers were spouses and adult children (45.6% and 39.0%, respectively). Patients reported a higher mean family resilience score than caregivers (152.56 vs. 149.87, respectively). Undergoing fewer than two types of treatment and a lower symptom burden of patients predicted higher patient (B = -9.702, -0.134, respectively) and caregiver (B = -5.462, -0.096, respectively) family resilience. Patients also reported higher family resilience under the following conditions: 1) were on a medical insurance plan other than the new rural cooperative medical system (B = 6.089), 2) had a better family sense of coherence (B = 0.415), 3) whose caregivers were unmarried (B = 8.618), perceived lower social support (B = -0.145) and higher psychological resilience (B = 0.313). Caregivers who were ≤ 44 years old (B = -3.221), had similar previous caregiving experience (B = 7.706), and had a stronger family sense of coherence (B = 0.391) reported higher family resilience. CONCLUSIONS: Our findings highlight the importance of adopting a dyadic approach when caring for advanced cancer patients and their caregivers. Dyadic longitudinal research is suggested to discover more modifiable factors of family resilience and tailored interventions are needed to obtain optimal dyadic outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11101-z. BioMed Central 2023-07-04 /pmc/articles/PMC10320962/ /pubmed/37403053 http://dx.doi.org/10.1186/s12885-023-11101-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cui, Panpan
Shi, Jiaoxia
Li, Shifeng
Getu, Mikiyas Amare
Wang, Ruibo
Chen, Changying
Family resilience and its influencing factors among advanced cancer patients and their family caregivers: a multilevel modeling analysis
title Family resilience and its influencing factors among advanced cancer patients and their family caregivers: a multilevel modeling analysis
title_full Family resilience and its influencing factors among advanced cancer patients and their family caregivers: a multilevel modeling analysis
title_fullStr Family resilience and its influencing factors among advanced cancer patients and their family caregivers: a multilevel modeling analysis
title_full_unstemmed Family resilience and its influencing factors among advanced cancer patients and their family caregivers: a multilevel modeling analysis
title_short Family resilience and its influencing factors among advanced cancer patients and their family caregivers: a multilevel modeling analysis
title_sort family resilience and its influencing factors among advanced cancer patients and their family caregivers: a multilevel modeling analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320962/
https://www.ncbi.nlm.nih.gov/pubmed/37403053
http://dx.doi.org/10.1186/s12885-023-11101-z
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