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Factors influencing changes in health related quality of life of caregivers of persons with multiple chronic conditions

Overview of attention for article published in Health and Quality of Life Outcomes, May 2016
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Factors influencing changes in health related quality of life of caregivers of persons with multiple chronic conditions
Published in
Health and Quality of Life Outcomes, May 2016
DOI 10.1186/s12955-016-0486-7
Pubmed ID
Authors

Wendy Duggleby, Allison Williams, Sunita Ghosh, Heather Moquin, Jenny Ploeg, Maureen Markle-Reid, Shelley Peacock

Abstract

The majority of care for older adults with multiple chronic conditions (MCC) is provided by family (including friends) caregivers. Although caregivers have reported positive benefits to caregiving they also experience decreases in their physical and mental health. As there is a critical need for supportive interventions for this population, it is important to know what influences the health of family caregivers of persons with MCC. This research examined relationships among the changes from baseline to 6 months in health related quality of life (SF12v2) of family caregivers caring for older adults with multiple chronic conditions and the following factors: a) demographic variables, b) gender identity [Bem Sex Role Inventory (BSRI)] c) changes in general self-efficacy [General Self Efficacy Scale (GSES) (baseline to 6 months) and d)) changes in caregiver burden [Zarit Burden Inventory (ZBI)] baseline to 6 months. Specific hypothesis were based on a conceptual framework generated from a literature review. This is a secondary analysis of a study of 194 family caregivers who were recruited from two Canadian provinces Alberta and Ontario. Data were collected in-person, by telephone, by Skype or by mail at two time periods spaced 6 months apart. The sample size for this secondary analysis was n = 185, as 9 participants had dropped out of the study at 6 months. Changes in the scores between the two time periods were calculated for SF12v2 physical component score (PCS) and mental component score (MCS) and the other main variables. Generalized Linear Modeling was then used to determine factors associated with changes in HRQL. Participants who had significantly positive increases in their MCS (baseline to 6 months) reported lower burden (ZBI, p < 0.001), and higher general self-efficacy (GSES, p < 0.001) and Masculine BSRI (p = 0.025). There were no significant associations among variables and changes in PCS (baseline to 6 months). Our findings suggest that a masculine gender identity (which incorporates assertive and instrumental approaches to caregiving), and confidence in the ability to deal with difficult situations was positively related to improvement in mental health for caregivers of persons with MCC. Decreases in perceptions of burden in this populations was also associated with improvements in mental health. Further research is needed to explore ways to support caregivers of older persons with multiple chronic conditions living at home.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 231 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 13%
Student > Master 29 13%
Student > Bachelor 29 13%
Researcher 20 9%
Student > Doctoral Student 19 8%
Other 38 16%
Unknown 66 28%
Readers by discipline Count As %
Nursing and Health Professions 64 28%
Medicine and Dentistry 43 19%
Psychology 19 8%
Social Sciences 13 6%
Agricultural and Biological Sciences 6 3%
Other 19 8%
Unknown 68 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 June 2016.
All research outputs
#7,383,104
of 22,875,477 outputs
Outputs from Health and Quality of Life Outcomes
#825
of 2,160 outputs
Outputs of similar age
#119,119
of 338,302 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#9
of 40 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,160 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 338,302 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.