Relationships among social support, self-efficacy, and patient activation in community-dwelling older adults living with coronary heart disease: A cross-sectional study

Zhu, Yaru; Song, Yuting; Wang, Yinuo; Ji, Heqian; Wang, Derong; Cai, Shuo; Wang, Aimin

doi:10.1016/j.gerinurse.2022.09.008

Cited by 14 publications

(21 citation statements)

References 42 publications

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“…All samples analyzed were patients with CHD (n = 2.164) with a mean age of 54 to 68 years. The largest sample is 451 respondents 27 and the smallest 85 respondents. 22 The results of the JBI analysis show that all studies analyzed using the cross-sectional method have good quality (>70%).…”

Section: Resultsmentioning

confidence: 99%

“…The analysis results in this review show that the SE level has heterogeneous results, some of which are analyzed using categorization 24 , 27 and there is also analysis with numerical data. 11 , 14 , 16 , 20 , 22 , 23 , 25 , 26 , 36 Two studies classified SE into three categories (low, moderate, and high).…”

Section: Resultsmentioning

confidence: 99%

“… 11 , 14 , 16 , 20 , 22 , 23 , 25 , 26 , 36 Two studies classified SE into three categories (low, moderate, and high). 24 , 27 While, four studies were classified numerically and displayed minimum and maximum values, 11 , 16 , 20 , 23 and five studies do not display minimum and maximum values. 14 , 22 , 25 , 26 , 36 Based on research results, most studies report that SE in CHD patients tends to have a low to moderate average SE level (see Table 1 ).…”

Section: Resultsmentioning

confidence: 99%

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A Scoping Review of Predictors Associated with Self-Efficacy Among Patients with Coronary Heart Disease

Sugiharto,

Nuraeni,

Trisyani

et al. 2023

VHRM

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Self-efficacy (SE) is the main predictor of self-care behaviour in patients with coronary heart disease (CHD). Several studies identified factors that influence SE in CHD patients. However, review studies have yet to synthesize these results systematically. This review aims to identify SE and the factors influencing SE in CHD patients. This scoping review is reported based on the PRISMA Extension for Scoping Reviews (PRISMA-ScR). We searched using relevant keywords using five databases: CINAHL Plus with Full Text and Academic Search Complete, PubMed, ScienceDirect, Scopus, Taylor and Francis, and one search engine: Google Scholar, which was accessed on June 23, 2023. Articles with an observational design were included without date restrictions. The quality of evidence was assessed using the Joanna Briggs Institute critical appraisal checklist, and data synthesis used thematic analysis. We found 11 articles discussing SE and the factors influencing SE in CHD patients. In this review, most studies reported that the SE level of CHD patients tends to be low to moderate. Factors associated with SE in this population are classified into three categories (low, moderate, and high). Cardiac knowledge and patient activation are the most influential predictors of SE in CHD patients. Public health interventions such as raising awareness about heart disease, modifying health behaviours, early screening, diagnosis, and appropriate treatment are critical to improving SE and cardiac care outcomes.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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A Scoping Review of Predictors Associated with Self-Efficacy Among Patients with Coronary Heart Disease

Sugiharto,

Nuraeni,

Trisyani

et al. 2023

VHRM

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“…Therefore, it is important to identify and address exercise fear early on by implementing interventions such as virtual reality and mindfulness technologies. These by making full use of social support resources (Zhu et al, 2022). This heightened motivation and confidence in exercise will effectively alleviate exercise fear and avoidance behaviours among patients with chronic heart failure, ultimately fostering long-term adherence to home-based cardiac rehabilitation exercises (Sagar et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Put simply, perceived social support can substantially influence adherence to home‐based cardiac rehabilitation exercises by acting through the chain mediating effect of exercise self‐efficacy and exercise fear. Patients with chronic heart failure have the potential to enhance their motivation and confidence by making full use of social support resources (Zhu et al., 2022). This heightened motivation and confidence in exercise will effectively alleviate exercise fear and avoidance behaviours among patients with chronic heart failure, ultimately fostering long‐term adherence to home‐based cardiac rehabilitation exercises (Sagar et al., 2019).…”

Section: Discussionmentioning

confidence: 99%

A behavioural driving model of adherence to home‐based cardiac rehabilitation exercise among patients with chronic heart failure: A mixed‐methods study

Yang,

Jia,

Zhang

et al. 2023

Journal of Clinical Nursing

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Aims and ObjectivesTo develop and validate a behavioural driving model for adherence to home‐based cardiac rehabilitation exercise in patients with chronic heart failure, and to explain the potential driving mechanism of social support on exercise adherence.BackgroundDespite the benefits of home‐based cardiac rehabilitation exercise, adherence among patients with chronic heart failure remains suboptimal. Several factors contributing to adherence have been confirmed; however, the specific pathway mechanisms by which these factors impact exercise adherence have not been thoroughly explored.DesignAn exploratory sequential mixed‐methods study was conducted in this study.MethodsA total of 226 patients with chronic heart failure were recruited using convenience sampling. Quantitative data were collected using a series of self‐report questionnaires. Hierarchical regression analysis was performed to verify multiple pathways. Subsequently, 12 patients with chronic heart failure were drawn from the quantitative stage. The interview data were thematically analysed. This study followed the Good Reporting of a Mixed Methods Study (GRAMMS) guidelines (Appendix S1).ResultsPerceived social support had a direct positive predictive effect on exercise adherence. Importantly, exercise self‐efficacy and exercise fear played a chain‐mediating role between perceived social support and exercise adherence. As a result of the qualitative phase, scale, tightness and homogeneity of social support networks emerged as potential drivers of the effectiveness of social support on exercise adherence.ConclusionsThis study reveals a potential pathway mechanism for social support to improve adherence to home‐based cardiac rehabilitation exercises. Social support network plays a crucial role in the effect of social support on exercise adherence.Relevance to Clinical PracticeTo enhance exercise adherence in home‐based cardiac rehabilitation for patients with chronic heart failure, establishing a social support network is recommended. This strategy has the potential to promote exercise self‐efficacy and alleviate exercise fear.Patient or Public ContributionNone.

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The Role of Social Networks When Using Digital Health Interventions for Multimorbidity

Polak,

van Leeuwen,

Sillevis Smitt

et al. 2023

Lecture Notes in Computer Science

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Relationships among social support, self-efficacy, and patient activation in community-dwelling older adults living with coronary heart disease: A cross-sectional study

Cited by 14 publications

References 42 publications

A Scoping Review of Predictors Associated with Self-Efficacy Among Patients with Coronary Heart Disease

A Scoping Review of Predictors Associated with Self-Efficacy Among Patients with Coronary Heart Disease

A behavioural driving model of adherence to home‐based cardiac rehabilitation exercise among patients with chronic heart failure: A mixed‐methods study

The Role of Social Networks When Using Digital Health Interventions for Multimorbidity

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