Analysis of the quality of life of tuberculosis patients based on the SF-36 form (case study in Banyumas Regency).

INTRODUCTION: Indonesia is one of the countries with the largest TB burden. To date, the success of TB treatment has only been seen from microscopic examination but has not really taken into account the quality of life of TB patients. Decreased quality of life in TB patients can cause delays in treatment and have a negative impact on the continuity of treatment, causing treatment to be interrupted or incomplete (drop out). This research was conducted with the aim of knowing the quality of life of TB patients during the treatment period along with the factors that influence it. METHODS: Measuring quality of life in this study used the SF-36 instrument. This study was analytical research with a cross-sectional study design. Study subjects were all TB patients who were still undergoing TB treatment. This study was conducted in September-November 2020. Independents variables were gender, education, marital status, occupation status, income, comorbidity, smoking habits, anxiety level, emotional support, and material support. Dependent variable was quality of life of TB patients. The data analysis used was univariate and bivariate (chi square test). RESULTS: The majority of TB patients had a poor quality of life (51,2%). Mental health was the highest domain with a score of 88.48, while physical role was the lowest domain with a score of 40.24. The factor that significantly influenced the quality of life of TB patients was emotional support from their families (p value 0.039). CONCLUSION: More TB patients had a poor quality of life with physical health was the lowest domain. Emotional support from the families of TB patients was the main factor causing the TB patient's quality of life to be low. It is important for health service providers to promote health and provide assistance to families of TB patients in an effort to increase emotional support for TB patients. Thus, TB patients can undergo treatment well and their quality of life improves during treatment.

Assessing the user satisfaction on COVID-19 vaccination service in Indonesia.

Background: The implementation of the COVID-19 vaccination is still being carried out in Indonesia to enhance immunity against SARS Cov-2 infection. However, the information about vaccination service satisfaction is still very limited. This study aims to assess how satisfied Covid-19 vaccination service users are in Indonesia. Design and methods: This is an analytic study with a cross-sectional design was conducted through an online survey in the third week of June 2022. People with a minimum age of 17 years, having received at least one COVID-19 vaccination, and residing in Indonesia were allowed to participate in this study. We used the SERVQUAL model as an instrument, measuring five aspects covering tangibility, responsiveness, reliability, assurance, and empathy. The analysis carried out included univariate analysis and bivariate test using chi-square statistical test. Results: A total of 509 respondents were included in this study. The findings of this study revealed that there was not much of a difference between the satisfied (50.1%) and dissatisfied categories (49.9%) of vaccination users. Of the five dimensions measured, the highest level of dissatisfaction is in tangibility particularly on facility (48.7%), while the highest level of satisfaction is in reliability (the vaccination service following applicable procedures; 59.7%). We find out that vaccination location (p = 0.038), provision of refreshment/reward/incentives (p = 0.001), providing emergency contact post-vaccination (p = 0.000), and observation time post-vaccination (p = 0.000) were associated with the satisfaction of users. Conclusion: Many respondents in this study are still dissatisfied with the COVID-19 vaccination services, so it is necessary for taking continuous efforts to raise the quality of vaccination services to increase user satisfaction.

Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia.

Malaria remains one of the essential public health problems in Indonesia. The year 2015 was originally set as the elimination target in Java Island, but there are still several regencies on Java reporting malaria cases. Spatial technology helps determine local variations in malaria transmission, control risk areas and assess the outcome of interventions. Information on distribution patterns of malaria at the sub-district level, presented as spatial, temporal, and spatiotemporal data, is vital in planning control interventions. Information on malaria transmission at the sub-district level in three regencies in Java (Banyumas, Kebumen, and Purbalingga) was collected from the Agency for Regional Development (Bappeda), the Population and Civil Registration Agency (Disdukcapil) and Statistics Indonesia (BPS). Global spatial autocorrelation and space-time clustering was investigated together with purely spatial and purely temporal analyses using geographical information systems (GIS) by ArcGis 10.2 and SaTScan 8.0 to detect areas at high risk of malaria. Our results show that malaria was spatially clustered in the study area in central Java, in particular in the Banyumas and Purbalingga regencies. The temporal analysis revealed that malaria clusters predominantly appeared in the period January-April. The results of the spatiotemporal analysis showed that there was one most likely malaria cluster and three secondary clusters in southern central Java. The most likely cluster was located in Purbalingga Regency covering one sub-district and remaining from the beginning of 2016 to the end of 2018. The approach used can assist the setting of resource priorities to control and eliminate malaria.