Relationships among patient activation, social support and online health information seeking of community‐dwelling older adults living with coronary heart disease

Abstract

Aims:To explore the relationship between patient activation (subjective initiative of patients to participate in disease management in self-health care), social support, selfefficacy and online health information seeking among older patients with coronary heart disease. Design:A cross-sectional and survey-based design.Methods: A total of 451 older patients with coronary heart disease were recruited from July to November 2021 from four communities in Qingdao, China. We collected data using the Patient Activation Measure, Social Support Rating Scale, Self-Efficacy Scale and Online Health Information Seeking Scale. We performed structural equation modelling to analyse the data. Results:The final model showed good model fit. Patient activation influenced online health information seeking directly (β = .39, p < .05) and indirectly through selfefficacy (β = .17, p < .05). Social support influenced online health information seeking directly (β = .23, p < .05) and indirectly through self-efficacy (β = .03, p < .05). Selfefficacy directly influenced online health information seeking (β = .26, p < .05). Conclusions:We identified the interrelationships of patient activation, social support and self-efficacy and their influence on the online health information seeking of older patients with coronary heart disease. Our findings provide a theoretical basis for developing and evaluating interventions to enhance online health information seeking for older patients with coronary heart disease.Impact: These findings add a better understanding of the relationship between patient activation, social support, self-efficacy and online health information seeking in older patients with coronary heart disease, and help community health workers to intervene in the early stage of disease diagnosis.

Relationship between chronic disease resource utilization and quality of life in coronary heart disease patients: A latent profile analysis

“…Moreover, through Figure 1, it is clear that patients in the C1 group did not score at enough level (ideal level) in terms of family and friends, personal coping, and media and policies. This was partly due to the lack of family and social support for patients to perform better self‐coping and adjustment (Zhu et al., 2022), and it may also be due to the fact that many residents do not know much about policies and have inconvenient access to healthcare (Tian et al., 2018), awareness of treatment is low (Ahn et al., 2016) To our knowledge, there are no studies on the latent profiles of CIR in CHD. Although Tibet is a special region, our results may provide a reference in identifying resource utilization of patients with CHD, especially for certain regions with poor medical resources (Qanitha et al., 2018).…”

Understanding online health information seeking behavior of older adults: A social cognitive perspective

“…In addition, research has found that the health condition, especially a recent diagnosis of cancer, positively facilitated older people to seek health information on the Internet ( 22). An empirical study by Zhu et al (23) revealed that social support, and self-efficacy were necessary predictors of health information seeking for older adults with coronary heart disease.…”

“…Social support has become an essential predictor of online health information seeking (23,50). Social support refers to people's access to various resources provided by others through interpersonal communication, including support concerning information, assistance, and comfort (51).…”