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Providing care to relatives with mental illness: reactions and distress among primary informal caregivers

Overview of attention for article published in BMC Psychiatry, March 2016
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Title
Providing care to relatives with mental illness: reactions and distress among primary informal caregivers
Published in
BMC Psychiatry, March 2016
DOI 10.1186/s12888-016-0786-9
Pubmed ID
Authors

Sherilyn Chang, Yunjue Zhang, Anitha Jeyagurunathan, Ying Wen Lau, Vathsala Sagayadevan, Siow Ann Chong, Mythily Subramaniam

Abstract

The responsibility of caring for relatives with mental illness often falls on the family members. It has been reported that the reactions to or consequences of providing care are what rendered the role of a caregiver challenging and hence a source of distress. This present study thus aimed to identify socio-demographic correlates of caregiving experiences using the Caregiver Reaction Assessment (CRA) and to examine the associations between reactions to caregiving and psychological distress. A total of 350 caregivers with relatives seeking outpatient care at a tertiary psychiatric hospital were recruited for this study. Distress among caregivers was assessed using the Patient Health Questionnaire (PHQ-9). The CRA was administered to measure reactions from caregiving in four domains including impact on schedule and health (ISH), impact on finance (IF), lack of family support (LFS) and caregiver esteem (CE). Participants also completed a questionnaire that asked for their socio-demographic information. Multivariable linear regression analysis was first used with domains of CRA as outcome variables and socio-demographic variables as predictors in the models. The next set of multivariable linear regression analysis tested for the association between CRA domains and distress with CRA domain scores as outcome variables and PHQ-9 score as predictor, controlling for socio-demographic variables. Socio-demographic correlates of CRA domains identified were age, education, employment, income and ethnicity. Domain scores of CRA were significantly associated with PHQ-9 score even after controlling for socio-demographic variables. A higher distress score was associated with greater impact felt in the domain of ISH (β = 0.080, P < 0.001), IF (β = 0.064, P < 0.001), and LFS (β = 0.057, P < 0.001), and was associated with lower CE domain scores (β = -0.021, P < 0.05). This study identified several socio-demographic correlates of caregiving reaction in the different domains. Each of these domains was found to be significantly associated with caregiver distress. Higher distress was associated with stronger impact on the negative domains and a lower impact in the positive domain of caregiving reaction. Interventions such as educational programs at the caregiver level, and also promoting wider social care support in these domains may help to address caregiver distress.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 160 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 18%
Researcher 20 12%
Student > Ph. D. Student 16 10%
Student > Bachelor 12 7%
Student > Postgraduate 9 6%
Other 26 16%
Unknown 49 30%
Readers by discipline Count As %
Nursing and Health Professions 34 21%
Psychology 27 17%
Medicine and Dentistry 18 11%
Social Sciences 14 9%
Neuroscience 3 2%
Other 16 10%
Unknown 49 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 March 2016.
All research outputs
#20,317,110
of 22,858,915 outputs
Outputs from BMC Psychiatry
#4,220
of 4,698 outputs
Outputs of similar age
#254,516
of 300,413 outputs
Outputs of similar age from BMC Psychiatry
#92
of 98 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,698 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 300,413 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.