Background and Objectives: Primary prevention (PP) implantable cardioverter-defibrillator (ICD) therapy for ischemic cardiomyopathy (ICM) is underused in Asian countries, including South Korea. Both clinical and hospital factors may influence appropriate ICD use. We evaluated whether determinants of PP ICD implantation differ by hospital implantation volume. Methods: In this prospective, multicenter observational registry (blinded for review), patients eligible for PP ICD were enrolled. Factors associated with ICD implantation—clinical characteristics and hospital-level systems—were examined across 4 large-volume hospitals (≥ 15 implants during the study) and 12 small-volume hospitals (< 15). Multivariable logistic regression identified independent predictors. Results: Among 3,083 ICM patients (2,403 men; median age 70 years), PP ICD implantation rates were 10.8% in large-volume and 5.7% in small-volume hospitals. Across groups, male sex and chronic kidney disease independently predicted ICD implantation. Regarding hospital factors, non-monetary incentives for referral were the sole independent predictor in large-volume centers (odds ratio [OR], 3.55; 95% confidence interval [CI], 2.07–6.10;P < 0.001). In small-volume centers, heart failure conferences (OR, 12.73; 95% CI, 1.72–94.37;P = 0.013), structured education systems (OR, 11.72; 95% CI, 2.45–56.12; P = 0.02), and pacemaker clinics (OR, 11.4; 95% CI, 2.24–58.39; P = 0.003) were independently associated with implantation. Conclusions Clinical predictors of PP ICD use were consistent across hospital volumes, but hospital-level determinants differed. Referral incentives characterized large-volume centers, whereas conferences, education systems, and pacemaker clinics were key in smallvolume centers. Tailored institutional strategies by hospital volume may help close the PP ICD underuse gap and improve evidence-based implementation.

Purpose: To identify influencing factors of media literacy, perceived neighborhood disorder, and adult attachment styles on fear of crime in adults in their 30s. Methods: Subjects were 232 adults in their 30s residing in South Korea. Data were collected through online and mobile surveys from February 21 to 26, 2024. Results: The following factors were found to significantly influence general fear of crime: female (β=.29, p<.001), perceived neighborhood disorder (β=.22, p=.002), attachment anxiety (β=.19, p=.003), and exclusion harmful media (β=.14, p=.020). These factors explained 23% of general fear of crime in adults in their 30s. The following factors significantly influenced specific fear of crime: perceived neighborhood disorder (β=.33, p<.001), attachment anxiety (β=.29, p<.001), female (β=.17, p=.003) and daily video platform usage (β=.16, p=.045). These factors explained 32% of specific fear of crime in adults in their 30s. Conclusion A multidimensional approach to understanding influencing factors of fear of crime is necessary because such an approach can serve as a basis for future public safety policies. Community mental health nurses should also increase their focus on ensuring that citizens feel safe in their communities.

Purpose: To identify influencing factors of media literacy, perceived neighborhood disorder, and adult attachment styles on fear of crime in adults in their 30s. Methods: Subjects were 232 adults in their 30s residing in South Korea. Data were collected through online and mobile surveys from February 21 to 26, 2024. Results: The following factors were found to significantly influence general fear of crime: female (β=.29, p<.001), perceived neighborhood disorder (β=.22, p=.002), attachment anxiety (β=.19, p=.003), and exclusion harmful media (β=.14, p=.020). These factors explained 23% of general fear of crime in adults in their 30s. The following factors significantly influenced specific fear of crime: perceived neighborhood disorder (β=.33, p<.001), attachment anxiety (β=.29, p<.001), female (β=.17, p=.003) and daily video platform usage (β=.16, p=.045). These factors explained 32% of specific fear of crime in adults in their 30s. Conclusion A multidimensional approach to understanding influencing factors of fear of crime is necessary because such an approach can serve as a basis for future public safety policies. Community mental health nurses should also increase their focus on ensuring that citizens feel safe in their communities.

Purpose: To identify influencing factors of media literacy, perceived neighborhood disorder, and adult attachment styles on fear of crime in adults in their 30s. Methods: Subjects were 232 adults in their 30s residing in South Korea. Data were collected through online and mobile surveys from February 21 to 26, 2024. Results: The following factors were found to significantly influence general fear of crime: female (β=.29, p<.001), perceived neighborhood disorder (β=.22, p=.002), attachment anxiety (β=.19, p=.003), and exclusion harmful media (β=.14, p=.020). These factors explained 23% of general fear of crime in adults in their 30s. The following factors significantly influenced specific fear of crime: perceived neighborhood disorder (β=.33, p<.001), attachment anxiety (β=.29, p<.001), female (β=.17, p=.003) and daily video platform usage (β=.16, p=.045). These factors explained 32% of specific fear of crime in adults in their 30s. Conclusion A multidimensional approach to understanding influencing factors of fear of crime is necessary because such an approach can serve as a basis for future public safety policies. Community mental health nurses should also increase their focus on ensuring that citizens feel safe in their communities.