ABSTRACT
This study determined community knowledge, attitudes, and practices after COVID-19 socialization in Rambipuji and Suci Village, Jember District, East Java, Indonesia. This study used the analytic observational design study. As many as 40 people were given socialization about COVID-19 by gathering and online. The questionnaires were completed in two parts included before-socialization and after-socialization. The questionnaire data were analyzed descriptively by calculating frequency, percentage, and inferential statistics by t-test, Spearman correlation, and chi-square test. The data analysis used IBM SPSS version 23 software. The mean and standard deviation of percentage of knowledge pre-test, knowledge post-test, high attitude, moderate attitude, low attitude, very high practice, high practice, sufficient practice, and low practice were 58.33 ± 30.97, 77.70 ± 22.52, 62.5±21.7, 31±22.2, 6.5±17.1, 65±13.8, 32.3±13.8, 1.25±2.4, 1.25±1.8, respectively. Knowledge pre-test and post-test correlated 0.819 (p=0.001) and a t-test with p=0.003. Attitudes and practices correlated with p=0.001. Socialization of COVID-19 was useful to improve the community knowledge, attitudes, and practices in Rambipuji and Suci Village, Jember District, East Java, Indonesia that could prevent the transmission and inhibit the spread of the COVID-19 pandemic in Indonesia. Furthermore, continuous encouragement of COVID-19 socialization in wide areas was recommended. (English) [ABSTRACT FROM AUTHOR] Penelitian ini bertujuan untuk mengetahui pengetahuan, sikap, dan perilaku masyarakat setelah sosialisasi COVID-19 di Desa Rambipuji dan Suci, Kabupaten Jember, Jawa Timur, Indonesia. Penelitian ini menggunakan desain penelitian observasional analitik. Sebanyak 40 orang diberikan sosialisasi tentang COVID-19 secara tatap muka (luring) dan daring. Kuesioner diisi dalam dua sesi yaitu sebelum sosialisasi dan setelah sosialisasi. Data kuesioner dianalisis secara deskriptif dengan menghitung frekuensi, persentase dan statistik inferensial dengan uji-t, korelasi spearman dan uji chi square. Analisis data menggunakan perangkat lunak IBM SPSS versi 23. Rerata dan standar deviasi persentase pengetahuan sebelum test, pengetahuan setelah test, sikap tinggi, sikap sedang, sikap rendah, perilaku sangat tinggi, perilaku tinggi, perilaku cukup, dan perilaku rendah secara berturut-turut adalah 58,33 ± 30,97, 77,70 ± 22,52, 62,5 ± 21.7, 31 ± 22.2, 6.5 ± 17.1, 65 ± 13.8, 32.3 ± 13.8, 1.25 ± 2.4, 1.25 ± 1.8. Pengetahuan sebelum test dan setelah test memiliki korelasi 0,819 (p = 0,001) dan t-test dengan p = 0,003. Sikap dan perilaku memiliki korelasi dengan p = 0,001. Sosialisasi COVID-19 bermanfaat untuk meningkatkan pengetahuan, sikap, dan masyarakat masyarakat di Desa Rambipuji dan Suci, Kabupaten Jember, Jawa Timur, Indonesia yang dapat mencegah penularan dan menghambat penyebaran pandemi COVID-19 di Indonesia. Selain itu, sosialisasi COVID-19 terus didorong di berbagai wilayah. (Indonesian) [ABSTRACT FROM AUTHOR] Copyright of Folia Medica Indonesiana is the property of Folia Medica Indonesiana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
ABSTRACT
OBJECTIVES: Previous observational studies have suggested that increased cardiac markers are commonly found in COVID-19. This study aimed to determine the relationship between several cardiac markers and the severity/mortality of COVID-19 patients. METHODS: Several cardiac markers were analysed in this meta-analysis. RevMan 5.4 was used to provide pooled estimates for standardised mean difference (SMD) with 95% confidence intervals. RESULTS: Twenty-nine clinical studies were included in this meta-analysis. Significantly higher CK-MB (0.64, 95% CI = 0.19-1.09), PCT (0.47, 95% CI = 0.26-0.68), NT-proBNP (1.90, 95% CI = 1.63-2.17), BNP (1.86, 95% CI = 1.63-2.09), and d-dimer (1.30, 95% CI = 0.91-1.69) were found in severe compared with non-severe COVID-19. Significantly higher CK-MB (3.84, 95% CI = 0.62-7.05), PCT (1.49, 95% CI = 0.86-2.13), NT-proBNP (4.66, 95% CI = 2.42-6.91), BNP (1.96, 95% CI = 0.78-3.14), troponin (1.64 (95% CI = 0.83-2.45), and d-dimer (2.72, 95% CI = 2.14-3.29) were found in those who died from compared with survivors of COVID-19. CONCLUSIONS: High CK-MB, PCT, NT-proBNP, BNP, and d-dimer could be predictive markers for severity of COVID-19, while high CK-MB, PCT, NT-proBNP, BNP, troponin, and d-dimer could be predictive markers for survival of COVID-19 patients.