Articles

The Relationship Between Family Support and Adherence with Hemodialysis in Chronic Kidney Disease Patients in Kupang City

Background: Chronic kidney disease is a progressive condition requiring long-term therapy, one of which is hemodialysis. Adherence to hemodialysis is crucial for reducing complications and improving patients’ quality of life. Family support is considered a factor influencing adherence, but previous research findings remain inconsistent.

Objective: To determine the relationship between family support and adherence with hemodialysis in patients with chronic renal failure in Kupang City.

Methods: This study used an observational analytical cross-sectional design. Data was collected through the completion of family support and ESRD-AQ questionnaires by 163 respondents who met the inclusion and exclusion criteria. Sampling was conducted using purposive sampling. Data analysis was performed using univariate and bivariate analysis with Fisher’s exact test.

Results: The results showed that 95.7% of patients had good family support, followed by 4.3% who had poor family support. The prevalence of adherence with hemodialysis was 82.8% compliant and 17.2% non-compliant. The statistical test yielded a p-value of 0.345.

Conclusion: There was no significant relationship between family support and adherence with hemodialysis in patients with Chronic Kidney Disease in Kupang City.

Analysis of The Relationship Between Compliance in Taking Pulmonary Tuberculosis Medication in East Kolaka District

Tuberculosis is still a global health problem today. 5.8 million in 2020 and 6.4 million in 2021. The number of 2022 is a large number of people suffering from TB in the previous year. people diagnosed with TB in the world as many as 7.5 million people in 2022. This study is to analyze the relationship between adherence to taking pulmonary tuberculosis medication in East Kolaka Regency. This study was conducted in six working areas of the East Kolaka Regency Health Service, namely at the Tirawuta Health Center, Tinondo Health Center, Lalolae Health Center, Mowewe Health Center, Sanggona Health Center, and Ueesi Health Center in May – June 2024. This type of research is a study using a Cross Sectional Study approach with univariate, Bivariate, and Multivariate analysis. the population is 59 patients spread across six working areas of the East Kolaka Regency Health Service. Chi-Square Test Results of knowledge (P-Value 0.004<0.05), Family Support (P-Value 0.000<0.05), Role of Health Workers (P-Value 0.325), Stigma (P-Value 0.008<0.05), Access (P-Value-0.000<0.05), Income (P-Value-0.002<0.05), Medical Costs (P-Value0.003<0.05). The dominant variable is related to Access to Health Facilities with an OR value of 22.818. Access to health facilities is the main point in obtaining optimal health services. Compliance with taking tuberculosis medication is the basis for the success and completion of tuberculosis disease, it is expected that related parties will provide more emphasis on the consequences of non-compliance with taking tuberculosis medication.

Different Learning, Learning Interests, and The Use of Technology in Learning on Economic Learning Outcomes: An Empirical Study with Family Support as Mediation on High School Students

This study aims to analyze the influence of Differentiated Learning, Learning Interest, and Technology Utilization on Economic Learning Outcomes among students at SMA Negeri 11 Makassar, with Family Support as a mediating variable. Using a quantitative approach with a descriptive method, data were collected through questionnaires, interviews, and documentation. The research sample consisted of 92 students, selected through stratified sampling from a population of 1,120 students using the Slovin formula. Data analysis was conducted using SmartPLS to examine the relationships between variables. The findings indicate that Differentiated Learning significantly affects Economic Learning Outcomes (β = 0.183; p = 0.018). Learning Interest has the strongest influence (β = 0.382; p = 0.001), followed by Technology Utilization (β = 0.171; p = 0.012). Family Support plays a crucial role in improving students’ learning outcomes (β = 0.293; p = 0.000) and mediates the influence of other variables on economic learning outcomes. The mediation effect of Family Support strengthens the impact of Differentiated Learning (β = 0.098; p = 0.042), Learning Interest (β = 0.177; p = 0.004), and Technology Utilization (β = 0.152; p = 0.008) on students’ economic learning outcomes. The results of this study emphasize that diverse learning approaches, strong family support, high learning interest, and optimal technology utilization significantly enhance students’ economic learning outcomes. These findings have implications for educators and parents in developing more effective learning strategies both in school and at home.