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The Relationship Between Family Caregiver Involvement in Cancer Patient Care and the Quality of Life of Cancer Patients Wildan Azka Taslimi; Yulia Rizka; Sofiana Nurchayati
Journal of Education Technology Information Social Sciences and Health Vol. 4 No. 2 (2025): September 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jetish.v4i2.5290

Abstract

Cancer is a global health issue that impacts the physical, psychological, and social well-being of patients. The quality of life of cancer patients is influenced by various factors, one of which is family support. This study aims to analyze the relationship between family caregiver involvement in cancer patient care and the quality of life of cancer patients at a Regional General Hospital in Riau Province. The study uses a correlational method with a cross-sectional approach, involving 82 samples selected through purposive sampling. Data were collected using a questionnaire, and univariate analysis showed that the majority of respondents were aged 41-60 years (67.1%), female (73.2%), had a last education of elementary school (32.9%), worked as housewives (35.4%), had a monthly income of less than IDR 3,200,000 (76.8%), and the majority had breast cancer at stage III (67.1%). The Pearson correlation test showed a p-value of 0.000 (< 0.05) and r-count 0.611 (> r-table 0.214), indicating a significant relationship between family caregiver involvement and cancer patients' quality of life. The higher the involvement of family caregivers in cancer patient care, the better the quality of life of the patients.
Hubungan antara Kejadian Computer Vision Syndrome (CVS) dengan Kualitas Tidur Mahasiswa Keperawatan Dinda Bucira Almaa; Yulia Rizka; Nopriadi Nopriadi
Jurnal Ilmu Kedokteran dan Kesehatan Indonesia Vol. 3 No. 1 (2023): Maret : Jurnal Ilmu Kedokteran dan Kesehatan Indonesia
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jikki.v3i1.861

Abstract

Computer Vision Syndrome (CVS) encompasses a constellation of ocular and extraocular symptoms in digital devices users who either habitually or compulsively use digital devices for long periods of time. Digital devices emit blue light (400-490 nm) and generate electromagnetic fields, both of which interfere with the circadian rhythms. This study aims to determine the association between CVS and sleep quality of nursing students. The type of research was observational analytics with a cross-sectional approach and conduct proportionate stratified random sampling. CVS was measured by using CVS-Q, while sleep quality was measured by using PSQI. The analysis used univariate analysis to see the frequency distribution and bivariate used Chi-Square. The result of the data analysis showed that 68,4% of the nursing students experienced CVS. The number of respondents who experienced poor sleep quality was 151 (63.7%). Poor sleep quality was present in 71% of individuals with CVS and 48% of students without CVS. The difference was statistically significant (p=0.001) with OR=2,651. CVS is significantly associated with sleep quality in nurse students. Therefore, it is necessary to apply appropriate behaviors and attitudes to use digital devices and prevent CVS from occurring so that the individual's sleep quality becomes better.