Background Indonesia still has the highest maternal mortality rate (MMR) compared to other countries in Southeast Asia. In Indonesia, most maternal deaths occur before, during, or after delivery. Therefore, Indonesia’s government has rolled out various health insurance schemes so they have access to maternal healthcare services. This review aims to evaluate the impact of health insurance on maternal health care in Indonesia.Methods All searches for relevant studies were performed in PubMed, Science Direct, Cochrane, and Garuda databases. This review focuses on RCT or observational study, and only articles written in English and Indonesian were retrieved. The main outcome was the utilization of maternal services and patient satisfaction.Results A total of 140,555 participants were enrolled with ten studies that met the inclusion criteria. Of these, seven studies reported on National Health Insurance (NHI) and the remaining reported on Local Health Insurance (LHI). Both NHI and LHI studies showed that insurance increases the use of maternal health care services significantly, including antenatal, delivery, and postnatal care services. Only two studies reported patient satisfaction. The LHI study showed that insurance increases the patient’s level of satisfaction significantly. On the other hand, the NHI study showed there is no difference between NHI and non-NHI patients’ levels of satisfaction. This was due to complicated procedures and long examination times for NHI users.Conclusion The implementation of health insurance appears to increase the utilization of maternal health care services, although the result on patients’ satisfaction is inconsistent between NHI and LHI studies.

Green tea is an herbal plant that has active compounds including anti-inflammatory, antioxidant, anti-allergic, and antiviral compounds. A previous study, flavonoid compound in tea leaves has been proven as antiviral. The development of effective antiviral drugs against COVID-19 remains a challenge for researchers across the world. A previous study investigated the role of the main protease enzyme (Mpro) which is useful in the viral life cycle as a promising drug target. This study aims to know the potential compounds of green tea leaves as a COVID-19 Mpro inhibitor using molecular docking. 12 compounds and lopinavir were used. Lipinski analysis was carried out to assess potential compounds as a drug. Docking was carried out by Autodock Tools 1.5.6 and Autodock Vina. The visualization was carried out by Discovery Studio v16. The results showed that all compounds compiled the criteria as a drug based on Lipinski rules. Catechin and epicatechin have the same energy bond as lopinavir with a binding energy of -7.1 kcal/mol. Catechin gallate and epicatechin gallate have the strongest energy bond with a binding energy of -9.0 and -8.2 kcal/mol. All compounds bind in the active site of the COVID-19 Mpro so they are competitive inhibitor. Catechin gallate is the strongest inhibitors.

Background: Aspirin is the most commonly used for treatment in patients with coronary artery disease (CAD). However, there are many evidences from several trials suggested that dual antiplatelet therapy (DAPT) might exhibit a better outcome and more effective than aspirin monotherapy. Thus, we aimed to assess the effect of DAPT versus aspirin monotherapy in patients with CAD. Methods: Electronic databases were performed in PubMed, EMBASE, and Cohrane from Januari 2005 until March 2021. We searched for randomized control trials comparing DAPT versus aspirin monotherapy in patients with CAD. Pooled effects estimates were reported as an odds ratio (OR) with 95% confidence intervals (CI) and calculated using random effects model. RevMan 5.4 software was used for data analysis. Results: Five randomized control trials with a total of 8,203 participants met the inclusion critera. DAPT was found to have an association in reducing the risk of major adverse cardiovascular events (OR 0.72; 95% CI 0.57-0.90; p = 0.003; I2 = 17%) and death events (OR 0.62; 95% CI 0.49-0.79; p < 0.0001; I2 = 0%)  compared with aspirin monotherapy. Yet, there were no significant difference in myocardial infarction events (OR 0.78; 95% CI 0.57-1.07; p = 0.13; I2 = 28%) and bleeding events (OR 1.65; 95% CI 0.97-2.81; p = 0.06; I2 = 0%) between two groups. Conclusions: DAPT treatment has a significant effect in reducing the risk of major cardiovascular and death events without a significant effect in myocardial infarction and bleeding events compared with aspirin monotherapy.

Dementia is a brain disorder that interferes with a person's cognitive and behavioral abilities. Unfortunately, late diagnosis is common. Detection of people with suspected dementia in any setting requires a brief and simple test such as MMSE which has become the best‐known and the most often used short screening dementia tool. The aim of this study was to determine the diagnostic accuracy of MMSE screening tool based digital system. We used data from the OASIS Longitudinal dataset provided by the University of Washington Center for Alzheimer's Disease Research, Randy Buckner of the Howard Hughes Institute of Medicine at Harvard University, the Neuroinformatics Research Group at the University of Washington School of Medicine, and the Biomedical Informatics Research Network. The dataset was processed through training and testing using an artificial neural network architecture. From this data, a machine learning training process was carried out and obtained diagnostic accuracy of 78%. Thus, The early detection of dementia using MMSE tool based digital system is suitable for use as a dementia risk screening process tool in a clinical setting. Further studies are needed to assess diagnostic accuracy using primary data.

Cancer is one of the biggest health problems with lung cancer as the first rank in the number of new cases and deaths. Non-small cell lung carcinoma (NSCLC) is a type of lung cancer which accounts for about 85% cases. Previous research identified the role of epidermal growth factor receptor (EGFR) as the most suitable target to treat NSCLC. This study used a molecular docking technique to identify the potential compounds derived from Camellia sinensis (green tea) leaves as therapeutic agent to treat NSCLC. We tested 12 compounds in green tea leaves along with gefitinib as a comparative drug. Docking was carried out on EGFR as receptor target by Autodock Tools and Autodock Vina. Molecular interactions were visualized by Discovery Studio v16. All compounds met the criteria as drugs based on Lipinski’s solubility test and were safe to use based on toxicity test with AdmetSAR. Docking results showed that all compounds had affinity to EGFR receptor. Catechin and myricetin had the same energy bonds as gefitinib which were -7,9 kcal/mol, while theaflavin gallate, theaflavin digallate, epicatechin gallate, epigallocatechin-3-gallate, catechin gallate, thearubigin, quercetin, and kaempferol were proven to have the strongest binding energy compared to gefitinib which were -10.6, -9.8, -8.9, -8.9, -8.5, -8.3, -8.0, and -8.0 kcal/mol, respectively. All compounds have the potential for development into drugs for NSCLC treatment. Further in vitro and in vivo investigations are needed to bring these compounds to the clinical setting.