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

AIMS: To explore the relationship between patient activation (subjective initiative of patients to participate in disease management in self-health care), social support, self-efficacy 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 (ß  = .39, p < .05) and indirectly through self-efficacy (ß  = .17, p < .05). Social support influenced online health information seeking directly (ß  = .23, p < .05) and indirectly through self-efficacy (ß  = .03, p < .05). Self-efficacy directly influenced online health information seeking (ß  = .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.

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

OBJECTIVES: To explore whether social support indirectly influences patient activation through self-efficacy in older adults living with coronary heart disease. METHODS: A cross-sectional study was conducted. Older patients (n=451) from four communities in the city of Qingdao completed a questionnaire survey. We conducted multiple linear regression models and bootstrap testing to assess the relationships among social support, self-efficacy, and patient activation. RESULTS: Patient activation was positively correlated with social support (r = 0.524, P < 0.01) and with self-efficacy (r = 0.740, P < 0.01). The of social support had indirect positive effect on patient activation through self-efficacy and the effect was 58.8%. CONCLUSIONS: We identified the critical role of social support and self-efficacy for the activation of community-dwelling older patients living with coronary heart disease. Our findings provide essential knowledge for developing and evaluating effective interventions to promote patient activation and enhance self-management of coronary heart disease.

Health literacy in patients with gout: A latent profile analysis.

OBJECTIVES: Understanding the health literacy status of patients with gout diagnosis is essential for improving the health of this population. Our study aimed to investigate the latent profiles of health literacy in patients with gout and to analyze differences in characteristics across potential profiles. METHODS: This was a cross-sectional study. Eligible participants attended the Shandong Gout Medical Center, from March 2023 to May 2023 and self-reported gout diagnosis. We used the Health Literacy Scale for Patients with Gout designed and validated by our team. The scale had good reliability and validity among patients with gout. 243 patients completed the Demographic Information Questionnaire and the Health Literacy Scale for Patients with Gout. We used latent profile analysis to identify the latent profiles of gout patients' health literacy. We used Chi-square tests with Bonferroni correction to analyze differences in demographics and illness characteristics across identified profiles. RESULTS: Three profiles of patients with gout emerged (prevalence): the low literacy-low critical group (21.81%), the moderate literacy group (42.79%), and the high literacy-stable group (35.39%). The three groups differed in age, education level, monthly income, disease duration, and place of residence (P<0.01). CONCLUSIONS: The health literacy of patients with gout was heterogeneous. Healthcare professionals should adopt targeted interventions based on the characteristics of each latent health literacy profile to improve the health literacy level of patients with gout.

Synthesis of hollow Cu1.8S nano-cubes for electromagnetic interference shielding.

The applications of inorganic semiconductor nano-structures as electromagnetic interference (EMI) shielding materials have been scarcely researched. Herein, we have designed hollow Cu1.8S nano-cubes via a mild anion exchange and etching process. These 30 wt% hollow Cu1.8S nano-cubes loaded in wax can display 30 dB of EMI shielding effectiveness (SE) in the whole tested frequency range of 2-18 GHz with a sample thickness of only 1 mm. This good EMI shielding performance can be attributed to the high electric conductivity, which leads to a high dielectric constant. This research opens up the possibility for the applications of inorganic semiconductor nano-structures as lightweight EMI shielding materials, especially in the areas of aerospace, automobile and sophisticated electronics.

Fabrication of poly(methyl methacrylate) capillary electrophoresis microchips by in situ surface polymerization.

A novel method based on in situ surface polymerization of methyl methacrylate (MMA) has been developed for the rapid fabrication of poly(methyl methacrylate) (PMMA) capillary electrophoresis (CE) microchips. MMA containing both thermal and ultraviolet (UV) initiators was allowed to prepolymerize in a water bath to form a fast curing molding solution that was subsequently sandwiched between a nickel template and a PMMA plate. The images of the raised microchannels on the nickel template were precisely replicated into the synthesized PMMA substrates during the UV-initiated polymerization of the molding solution within 30 min under ambient temperature. The attractive performances of the novel PMMA microchips have been demonstrated in connection with amperometric detection for the separation and detection of several model analytes. The new approach significantly simplifies the process for fabricating PMMA devices and could be applied to other materials that undergo light-initiated polymerization.