Three important factors, namely health, education, and poverty, influenced economic growth. To create a healthy and educated population, the government must be able to provide access to health services to the community in proportion to the population and learning opportunities. A healthy and educated population will be more productive so that they are free from poverty and the life expectancy index will improve. The goal of this research was to look into the impact of health-care access, health-care financing, educational attainment, and social standing on life expectancy. The research method used is quantitative research with a longitudinal study design. We got the research data from the report of the National Central Statistics Agency (NCSA) and the Ministry of National Health. We conducted the study in 34 provinces in Indonesia from 2015 to 2019Panel data regression analysis was employed in the data analysis. The study's findings revealed that health services, including the ratio of hospital beds and the ratio of doctors, influenced life expectancy. Education also shows that the average length of schooling and literacy influence life expectancy and social factors, including the Gini ratio index and the poverty depth index, have a significant effect on life expectancy. Simultaneously, access to health services, educational status, and social status affect life expectancy. The provincial government should increase the rate of public health and education and decrease the poverty rate at the same time.

The goal of this research is to look at the impact of health-care access, health financing, educational status and social status on life expectancy and their impact on economic growth. This research was conducted in the territory of the Unitary State of the Republic of Indonesia. Secondary sources from the APBN and BPS reports is used in this research and the BPS Health Report of the Republic of Indonesia, including obtaining data from access to the National BPS website. besides that, it also accesses regional economic studies from Bank Indonesia (BI). The time of the research is related to these data for the last 5 years starting from 2015 to 2019. The population in this study was 34 provinces in the Unitary State of the Republic of Indonesia which were analyzed using time series data over a period of 5 years. So that the total population and sample in this study were 170 samples. The results showed that health services including the ratio of hospital beds and the ratio of doctors had an effect on life expectancy. Then to the health financing variables, it was found that the deconcentrating funds, special allocation funds and the coverage of the JKN program participation all had an effect on the life expectancy rate. The education variable also shows that the average length of schooling and literacy have an effect on life expectancy. Finally, the social factor variables which include the Gini ratio index, the depth index and the severity of poverty, all three have a significant effect on life expectancy which in turn has an impact on economic growth in Indonesia with a contribution of 97.21%. Simultaneously access to health services, health financing, educational status and social status affect life expectancy This has a big and favorable effect on economic development.

AbstrakPasien STEMI memiliki resiko 4 kali lebih tinggi untuk mengalami aritmia ventrikel yang umumnya terjadi dalam 48 jam pertama setelah onset. Dengan kondisi penyakit penyerta berupa stroke dengan skor severitas berat atau stroke hemoragik, intervensi koroner perkutan (IKP) atau pemberian obat -obatan anti trombotik tidak dapat dilakukan pada fase -fase awal. Optimalisasi obat -obatan anti-iskemik dan anti-aritmia menjadi strategi utama. Aritmia sendiri cukup sering dijumpai selama fase akut stroke, namun mekanisme aritmia ventrikel pada sindroma koroner akut (SKA) dan fase akut stroke masih diperdebatkan. Terlalu absurd jika hanya memikirkan kelainan jantung sebagai penyebab aritmia, mengabaikan kejadian neurologis yang juga sedang terjadi. Beberapa penelitian menunjukkan STEMI & stroke akut dapat memicu timbulnya aritmia ventrikel melalui mekanisme yang berbeda. Laporan Kasus ini dibuat untuk memberikan contoh praktikal dari ilustrasi diatas. Pada kasus ini pasien memiliki 2 entitas penyakit akut disaat bersamaan, yakni STEMI dan stroke. Pasien juga mengalami aritmia ventrikular yang refrakter. Pada akhirnya, dapat ditarik kesimpulan bahwa aritmia yang timbul bukan hanya diakibatkan oleh kelainan kardiovaskular semata, yang lebih umum dipahami, tetapi juga sebagai komplikasi dari kelainan akut neurologis. Diperlukan penanganan multi-disiplin ilmu dan komperhensif untuk optimalisasi manajemen pasien ini. AbstractPatients with ST elevation myocardial infarction (STEMI) have a 4-fold higher risk for ventricular arrhythmia (VA), mostly occurred in first 48 hours. In concomitant condition with acute stroke especially those with high stroke scoring or haemorragic stroke, percutaneous coronary intervention (PCI) can not be performed early and anti thrombotic therapy can not be given. Optimal anti ischemic and anti arrhythmic therapy are the most important strategy in this case. Meanwhile, cardiac arrhythmias following acute stroke is not rare but mechanisms of VA in acute coronary syndrome (ACS) concomitan with acute phase of stroke still debated. It is unlikely to assume that underlying cardiac diseases are the only cause of arrhythmia and cardiac damage after an acute stroke, ignoring neurologic event itself. Studies showed both STEMI and acute stroke could lead to ventricular arrhythmia with different mechanism. Present case report was made as practical example of previous illustration. In this case, patient with 2 acute illneses at the same time, STEMI and stroke. Patient also suffered refractory ventricular arrhythmia. At the end, we can conclude that arrhythmia was not only caused by cardiovascular problem, as usual understandings, but also due to complication of acute neurologic event. Multi-discipline management was needed to optimalize patient's outcome.