METHODS: We collected 3,489,367 tweets data from January 2020 to August 2021. We analyzed factual and fake news using the string comparison method. The difflib library was used to measure similarity. The user's engagement was analyzed by averaging the engagement metrics of tweets, retweets, favorites, replies, and posts shared with sentiments and opinions regarding COVID-19 and COVID-19 vaccination.
RESULT: Positive sentiments on COVID-19 and COVID-19 vaccination dominated, however, the negative sentiments increased during the beginning of the implementation of restrictions on community activities (PPKM). The tweets were dominated by the importance of health protocols (washing hands, keeping distance, and wearing masks). Several types of vaccines were on top of the word count in the vaccine subtopic. Acceptance of the vaccination increased during the studied period, and the fake news was overweighed by the facts. The tweets were dynamic and showed that the engaged topics were changed from the nature of COVID-19 to the vaccination and virus mutation which peaked in the early and middle terms of 2021. The public sentiment and engagement were shifted from hesitancy to anxiety towards the safety and effectiveness of the vaccines, whilst changed again into wariness on an uprising of the delta variant.
CONCLUSION: Understanding public sentiment and opinion can help policymakers to plan the best strategy to cope with the pandemic. Positive sentiments and fact-based opinions on COVID-19, and COVID-19 vaccination had been shown predominantly. However, sufficient health literacy levels could yet be predicted and sought for further study.
MATERIALS AND METHODS: A total of 400 respondents were recruited, from all over the province in Indonesia. Instruments utilized were structured questionnaires including a demographic questionnaire, work performance scale (WPS), daily work stress scale. The design used was cross-sectional with a nonprobability sampling method and the data analysis with Chi-Square. The respondents were 400 respondents.
RESULTS: Shows that both respondents who had high, moderate, and low-stress levels on work from home (p>0.001), work from office (p>0.001), and Hybrid (p>0.001). Respondents also had good work performance with all varied work methods.
CONCLUSIONS: Based on this research, each worker has more varied work stress, even though they still carry out their jobs well, and have good performance.
METHOD: This study recruited Sundanese from Tasikmalaya and Minahasan from Manado using the Indonesian Public Attitudes Toward Epilepsy (PATE) scale. The results were compared to the Javanese and Malaysian data in previous studies.
RESULT: A total of 200 respondents, 100 from each ethnic group were recruited, with a mean age of 38.51 years. They were predominantly females (54%) and had secondary education level or lower (56.67%). The Javanese had a higher total mean score, indicating poorer attitudes toward epilepsy, as compared to the Minahasan and Sundanese groups. These differences were noted in the personal domain, but not the general domain. There were no significant differences in the mean scores in both personal and general domains between the Minahasan, Sundanese, and Malaysian populations. Subanalysis on the aspects of life showed that the Javanese had a significantly higher score in the aspects of education, marital relationship, and employment.
CONCLUSION: The attitudes toward epilepsy were similar between the Indonesian (Sundanese and the Minahasan) and Malaysian, except the Javanese with poorer attitude. These differences could be socioeconomically or culturally related.
METHODS: This study employs a quantitative method by way of a cross-sectional approach. The 2018 JKN claims data, drawn from a 1% sample that JKN annually produces, were analyzed. Nine hundred forty-five HIV patients out of 1,971,744 members were identified in the data sample and their claims record data at primary care and hospital levels were analyzed. Using ICD (International Statistical Classification of Diseases and Related Health Problems), 10 codes (i.e., B20, B21, B22, B23, and B24) that fall within the categories of HIV-related disease. For each level, patterns of service utilization by patient-health status, discharge status, severity level, and total cost per claim were analyzed.
RESULTS: Most HIV patients (81%) who first seek care at the primary-care level are referred to hospitals. 72.5% of the HIV patients receive antiretroviral treatment (ART) through JKN; 22% at the primary care level; and 78% at hospitals. The referral rate from public primary-care facilities was almost double (45%) that of private providers (24%). The most common referral destination was higher-level hospitals: Class B 48%, and Class C 25%, followed by the lowest Class A at 3%. Because JKN pays hospitals for each inpatient admission, it was possible to estimate the cost of hospital care. Extrapolating the sample of hospital cases to the national level using the available weight score, it was estimated that JKN paid IDR 444 billion a year for HIV hospital services and a portion of capitation payment.
CONCLUSION: There was an underrepresentation of PLHIV (People Living with HIV) who had been covered by JKN as 25% of the total PLHIV on ART were able to attain access through other schemes. This study finding is principally aligned with other local research findings regarding a portion of PLHIV access and the preferred delivery channel. Moreover, the issue behind the underutilization of National Health Insurance services in Indonesia among PLHIV is similar to what was experienced in Vietnam in 2015. The 2015 Vietnam study showed that negative perception, the experience of using social health insurance as well as inaccurate information, may lead to the underutilization problem (Vietnam-Administration-HIV/AIDSControl, Social health insurance and people living with HIV in Vietnam: an assessment of enrollment in and use of social health insurance for the care and treatment of people living with HIV, 2015). Furthermore, the current research finding shows that 99% of the total estimated HIV expenditure occurred at the hospital. This indicates a potential inefficiency in the service delivery scheme that needs to be decentralized to a primary-care facility.