| Title |
The changes and factors associated with post-discharge self-care behaviors among Chinese patients with heart failure
|
|---|---|
| Published in |
Patient preference and adherence, November 2015
|
| DOI | 10.2147/ppa.s88431 |
| Pubmed ID | |
| Authors |
Xiaolin Hu, Xiuying Hu, Yonglin Su, Moying Qu, Mary A Dolansky |
| Abstract |
Self-care behavior is essential for achieving good outcomes among patients with heart failure. Understanding the factors associated with self-care over time is important for the provision of appropriate and targeted interventions. However, little is known regarding the changes and factors associated with post-discharge self-care behaviors among Chinese patients with heart failure. To investigate the changes and factors of self-care behaviors during the first 3 months following discharge among patients with heart failure in the People's Republic of China. A descriptive design with a convenience sample was utilized in this study. Patients (N=128) from two hospitals, West China Hospital and Angjin Hospital, in Chengdu, People's Republic of China, were recruited from June 2013 to June 2014. The instruments used in the study included the following: the Social Support Rating Scale, the Hospital Anxiety and Depression Scale, the Self-Efficacy for Managing Chronic Disease 6-Item Scale, and the European Heart Failure Self-Care Behaviour Scale. Multivariate linear regression analyses were used to identify the factors related to self-care behaviors at baseline, 1 month, and 3 months following discharge. Patients' self-care behaviors were poor and decreased significantly over time (F=4.09, P<0.05). The factors associated with self-care behaviors at baseline included the following: education level, comorbidities, and social support. The factors related to self-care behaviors at 1 and 3 months following discharge included the following: education level, comorbidities, social support, and self-efficacy. The variances in self-care behaviors attributed to these factors were 43%, 46%, and 42% at baseline, 1 month, and 3 months following discharge, respectively. Additional support should be provided to patients with heart failure with low educational levels and patients with multiple comorbidities. Follow-up, continuity of care, and family caregiver integration following discharge are necessary for the said patients to improve their self-care behaviors and obtain better outcomes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 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 > Ph. D. Student | 10 | 17% |
| Student > Master | 8 | 14% |
| Researcher | 7 | 12% |
| Student > Bachelor | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 14 | 24% |
| Medicine and Dentistry | 9 | 15% |
| Psychology | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 17 | 29% |
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 10 November 2015.
All research outputs
#17,776,579
of 22,832,057 outputs
Outputs from Patient preference and adherence
#1,167
of 1,600 outputs
Outputs of similar age
#191,551
of 284,444 outputs
Outputs of similar age from Patient preference and adherence
#36
of 40 outputs
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