Time to move? Factors associated with burden of care among informal caregivers of cognitively impaired older people facing housing decisions: secondary analysis of a cluster randomized trial

Abstract Background Making health-related decisions about loved ones with cognitive impairment may contribute to caregiver burden of care. We sought to explore factors associated with burden of care among informal caregivers who had made housing decisions on behalf of a cognitively impaired older pe...

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Main Authors: Alexandrine Boucher, Julie Haesebaert, Adriana Freitas, Rhéda Adekpedjou, Marjolaine Landry, Henriette Bourassa, Dawn Stacey, Jordie Croteau, Painchaud-Guérard Geneviève, France Légaré
Format: Article
Language:English
Published: BMC 2019-09-01
Series:BMC Geriatrics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12877-019-1249-1
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language English
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author Alexandrine Boucher
Julie Haesebaert
Adriana Freitas
Rhéda Adekpedjou
Marjolaine Landry
Henriette Bourassa
Dawn Stacey
Jordie Croteau
Painchaud-Guérard Geneviève
France Légaré
spellingShingle Alexandrine Boucher
Julie Haesebaert
Adriana Freitas
Rhéda Adekpedjou
Marjolaine Landry
Henriette Bourassa
Dawn Stacey
Jordie Croteau
Painchaud-Guérard Geneviève
France Légaré
Time to move? Factors associated with burden of care among informal caregivers of cognitively impaired older people facing housing decisions: secondary analysis of a cluster randomized trial
BMC Geriatrics
Caregiver
Burden of care
Cognitively impaired older persons
Housing decisions
Shared decision making
Secondary analysis
author_facet Alexandrine Boucher
Julie Haesebaert
Adriana Freitas
Rhéda Adekpedjou
Marjolaine Landry
Henriette Bourassa
Dawn Stacey
Jordie Croteau
Painchaud-Guérard Geneviève
France Légaré
author_sort Alexandrine Boucher
title Time to move? Factors associated with burden of care among informal caregivers of cognitively impaired older people facing housing decisions: secondary analysis of a cluster randomized trial
title_short Time to move? Factors associated with burden of care among informal caregivers of cognitively impaired older people facing housing decisions: secondary analysis of a cluster randomized trial
title_full Time to move? Factors associated with burden of care among informal caregivers of cognitively impaired older people facing housing decisions: secondary analysis of a cluster randomized trial
title_fullStr Time to move? Factors associated with burden of care among informal caregivers of cognitively impaired older people facing housing decisions: secondary analysis of a cluster randomized trial
title_full_unstemmed Time to move? Factors associated with burden of care among informal caregivers of cognitively impaired older people facing housing decisions: secondary analysis of a cluster randomized trial
title_sort time to move? factors associated with burden of care among informal caregivers of cognitively impaired older people facing housing decisions: secondary analysis of a cluster randomized trial
publisher BMC
series BMC Geriatrics
issn 1471-2318
publishDate 2019-09-01
description Abstract Background Making health-related decisions about loved ones with cognitive impairment may contribute to caregiver burden of care. We sought to explore factors associated with burden of care among informal caregivers who had made housing decisions on behalf of a cognitively impaired older person. Methods We conducted a secondary analysis within a cluster randomized trial (cRT) conducted in 16 publicly-funded home care service points across the Province of Quebec. The cRT assessed the impact of training home care teams in interprofessional shared decision making (IP-SDM). We assessed burden of care with the Zarit Burden Interview (ZBI) scale. We adapted Pallett’s framework to inform our data analysis. This framework posits that factors influencing burden of care among caregivers fall within four domains: (a) characteristics of the caregiver, (b) characteristics of the cognitively impaired older person, (c) characteristics of the relationship between the caregiver and the cognitively impaired older person, and (d) the caregiver’s perception of their social support resources. We computed the ZBI score and performed multilevel linear regression modelling. Results Among 296 caregivers included in the dataset, the mean ZBI score was 29.8 (SD = 17.5) out of 88. The typical participant was 62.6 years old (SD = 11.7), female (74.7%), and caring for a mother or father (61.2%). Using multivariate analysis, factors significantly associated with caregiver burden mapped onto: caregiver characteristics (caregivers with higher burden were female, experienced higher decision regret and decisional conflict, preferred that their loved one move into the caregiver’s home, into a private nursing home or a mixed private-public nursing home, and had made the decision more recently); relationship characteristics (spouses and children experienced higher burden); and caregiver’s perception of social support resources (caregivers who perceived that a joint decision making process had occurred had higher burden). Conclusion In line with the proposed framework used, we found that caregiver characteristics, relationship characteristics and caregiver’s perception of social support resources were associated with burden of care. Our results will help design interventions to prevent and/or reduce caregivers’ burden of care. Trial registration NCT02244359. Date of registration: September 18, 2014.
topic Caregiver
Burden of care
Cognitively impaired older persons
Housing decisions
Shared decision making
Secondary analysis
url http://link.springer.com/article/10.1186/s12877-019-1249-1
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spelling doaj-db8f63565ebb4ab4a11178c4360065c62020-11-25T03:43:04ZengBMCBMC Geriatrics1471-23182019-09-0119111110.1186/s12877-019-1249-1Time to move? Factors associated with burden of care among informal caregivers of cognitively impaired older people facing housing decisions: secondary analysis of a cluster randomized trialAlexandrine Boucher0Julie Haesebaert1Adriana Freitas2Rhéda Adekpedjou3Marjolaine Landry4Henriette Bourassa5Dawn Stacey6Jordie Croteau7Painchaud-Guérard Geneviève8France Légaré9Canada Research Chair in Shared Decision Making and Knowledge Translation, and Population Health and Practice-Changing Research Group, Université Laval Primary Care Research Centre (CERSSPL-UL)Canada Research Chair in Shared Decision Making and Knowledge Translation, and Population Health and Practice-Changing Research Group, Université Laval Primary Care Research Centre (CERSSPL-UL)Canada Research Chair in Shared Decision Making and Knowledge Translation, and Population Health and Practice-Changing Research Group, Université Laval Primary Care Research Centre (CERSSPL-UL)Canada Research Chair in Shared Decision Making and Knowledge Translation, and Population Health and Practice-Changing Research Group, Université Laval Primary Care Research Centre (CERSSPL-UL)Department of Nursing of Université du Québec à Trois-RivièresCaregiver PartnerOttawa Hospital Research InstituteCanada Research Chair in Shared Decision Making and Knowledge Translation, and Population Health and Practice-Changing Research Group, Université Laval Primary Care Research Centre (CERSSPL-UL)Canada Research Chair in Shared Decision Making and Knowledge Translation, and Population Health and Practice-Changing Research Group, Université Laval Primary Care Research Centre (CERSSPL-UL)Canada Research Chair in Shared Decision Making and Knowledge Translation, and Population Health and Practice-Changing Research Group, Université Laval Primary Care Research Centre (CERSSPL-UL)Abstract Background Making health-related decisions about loved ones with cognitive impairment may contribute to caregiver burden of care. We sought to explore factors associated with burden of care among informal caregivers who had made housing decisions on behalf of a cognitively impaired older person. Methods We conducted a secondary analysis within a cluster randomized trial (cRT) conducted in 16 publicly-funded home care service points across the Province of Quebec. The cRT assessed the impact of training home care teams in interprofessional shared decision making (IP-SDM). We assessed burden of care with the Zarit Burden Interview (ZBI) scale. We adapted Pallett’s framework to inform our data analysis. This framework posits that factors influencing burden of care among caregivers fall within four domains: (a) characteristics of the caregiver, (b) characteristics of the cognitively impaired older person, (c) characteristics of the relationship between the caregiver and the cognitively impaired older person, and (d) the caregiver’s perception of their social support resources. We computed the ZBI score and performed multilevel linear regression modelling. Results Among 296 caregivers included in the dataset, the mean ZBI score was 29.8 (SD = 17.5) out of 88. The typical participant was 62.6 years old (SD = 11.7), female (74.7%), and caring for a mother or father (61.2%). Using multivariate analysis, factors significantly associated with caregiver burden mapped onto: caregiver characteristics (caregivers with higher burden were female, experienced higher decision regret and decisional conflict, preferred that their loved one move into the caregiver’s home, into a private nursing home or a mixed private-public nursing home, and had made the decision more recently); relationship characteristics (spouses and children experienced higher burden); and caregiver’s perception of social support resources (caregivers who perceived that a joint decision making process had occurred had higher burden). Conclusion In line with the proposed framework used, we found that caregiver characteristics, relationship characteristics and caregiver’s perception of social support resources were associated with burden of care. Our results will help design interventions to prevent and/or reduce caregivers’ burden of care. Trial registration NCT02244359. Date of registration: September 18, 2014.http://link.springer.com/article/10.1186/s12877-019-1249-1CaregiverBurden of careCognitively impaired older personsHousing decisionsShared decision makingSecondary analysis