| Title |
The impact of caregiver’s role preference on decisional conflicts and psychiatric distresses in decision making to help caregiver’s disclosure of terminal disease status
|
|---|---|
| Published in |
Quality of Life Research, February 2018
|
| DOI | 10.1007/s11136-018-1814-7 |
| Pubmed ID | |
| Authors |
Shin Hye Yoo, Young Ho Yun, Kyoung-Nam Kim, Jung Lim Lee, Jeanno Park, Youn Seon Choi, Yeun Keun Lim, Samyong Kim, Hyun Sik Jeong, Jung Hun Kang, Ho-Suk Oh, Ji Chan Park, Si-Young Kim, Hong Suk Song, Keun Seok Lee, Dae Seog Heo, Young Seon Hong |
| Abstract |
The objective of this study was to investigate the impact of caregivers' role preference in decision making on conflicts and psychiatric distresses. The responses of 406 caregivers of terminal cancer patients enrolled in a trial determining the efficacy of a decision aid focused on the disclosure of terminal disease status were included in this secondary analysis. The outcomes include the change scores of the Decision Conflict Scale (DCS) and depression and anxiety subscales of the Hospital Anxiety and Depression Scale (HADS) at the 1 and 3 months from baseline. The linear mixed model was employed to discover the impact of caregivers' decisional role preference on the outcomes. Of the 406, 137 (33.7%) showed an active role preference and 269 (66.3%) showed a passive role preference. In the post hoc analysis of the adjusted differences of change scores between passive caregivers who received decision aid (passive-decision aid) and active caregivers with decision aid (active-decision aid), non-significant differences were observed in the DCS. However, at the 3-month, the change scores of the HADS depression subscale increased by 4.43 (effect size, 0.71) and those of the HADS anxiety subscale increased by 4.14 (effect size, 0.61) in the passive-decision aid group than in active-decision aid group, showing moderate to large difference. These findings suggest that information might be ethically recommended in a format that is interactive and tailored to how much an individual wishes to be involved in the decision-making process. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 15% |
| Student > Bachelor | 9 | 15% |
| Researcher | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 25 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 12 | 20% |
| Psychology | 7 | 12% |
| Medicine and Dentistry | 4 | 7% |
| Agricultural and Biological Sciences | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 29 | 49% |
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 24 February 2018.
All research outputs
#18,589,103
of 23,025,074 outputs
Outputs from Quality of Life Research
#2,073
of 2,916 outputs
Outputs of similar age
#256,997
of 330,613 outputs
Outputs of similar age from Quality of Life Research
#54
of 71 outputs
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