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Analysis of the Determinants of Diabetes Mellitus in Indonesia: A Case Study of the 2014 Indonesian Family Life Survey Fariza Zahra Kamilah; Farhan Habibie; Gina Ridhia Rahma; Mohammad Naufal Faisal Sofyan; Nurma Sari Isnaini; Nurul Dita Nadhilah; Estro Dariatno Sihaloho
Disease Prevention and Public Health Journal Vol. 15 No. 2 (2021): Disease Prevention and Public Health Journal
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/dpphj.v15i2.3079

Abstract

Background: Diabetes mellitus (DM) is a disease of excessive blood sugar levels. Data from the Indonesian Ministry of Health shows that several DM survivors have had DM for over 15 years reached 19.98 million or 10.9% of the Indonesian population in 2019 with population data according to the Central Bureau of Statistics Republic of Indonesia. This research aimed to determine factors affecting DM in Indonesia. Method: This was a study with a cross-sectional design. The data used in this study came from the fifth wave of the Indonesian Family Life Survey (IFLS). A total of 34,257 individuals aged 14 or over as samples. The dependent variable was diabetes mellitus, while independent variables were obesity, hypertension, quality of sleep, and socio-economic factors. The data measurement was performed by logistic regression.  Results: The research found that obesity, hypertension, and poor sleep quality will increase the risk of DM and also the risk will increase due to socio-economic factors like age, education, household income, urban, and marital status. Conclusion: This study found that the driving force for DM in Indonesia is obesity, hypertension, and sleep quality.
The Determinants of Healthcare Cost for Glaucoma Patients in Cicendo Eye Hospital, Bandung, Indonesia Rahmah Nur Rizki; Estro Dariatno Sihaloho
Media Kesehatan Masyarakat Indonesia Vol. 16 No. 4: DESEMBER 2020
Publisher : Faculty of Public Health, Hasanuddin University, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.74 KB) | DOI: 10.30597/mkmi.v16i4.9745

Abstract

Glaucoma is the second foremost cause of impaired vision. People whosuffered from Glaucoma face the independent expenditure for thetreatment as blind people with Glaucoma could not be cured perfectly.This study intends to analyze the effect of age, types of patient care, typesof Glaucoma, and types of payment on the total cost of care of glaucomapatients at Cicendo Eye Hospital, Bandung, Indonesia. This study uses3,358 patient medical records of Cicendo Eye Hospital, Bandung,Indonesia, in 2018. The 3,358 samples were selected from the patient’smedical record based on patients’ categories indicated or convicted ofhaving Glaucoma. Robust Linear Regression is applied in this study tomeasure the additional cost for Glaucoma treatment. The results showedthat the total cost of patient care was positively and significantly affectedby hospitalization status (p=0.000), age (p=0.000), times of treatment(p=0.000), having primary glaucoma (p=0.000), having congenitalglaucoma (p=0.000), and presence of intraocular (p=0.000). Conversely,patient care’s total cost was negatively and significantly affected usinginsurance (p=0.082). This result would be a precautionary measure forthe medical institution to consider better financial planning, servicedelivery improvement, and the patient’s payment scheme effectiveness.
PENGARUH ANGKA TUBERKULOSIS TERHADAP ANGKA KEMISKINAN DI INDONESIA : STUDI KASUS 407 KABUPATEN KOTA Estro Dariatno Sihaloho; Fariza Zahra Kamilah; Gina Ridhia Rahma; Salsabila Kusumawardani; Donny Hardiawan; Adiatma YM Siregar
Jurnal Ilmu Ekonomi dan Pembangunan Vol 20, No 2 (2020): Jurnal Ilmu Ekonomi dan Pembangunan
Publisher : Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jiep.v20i2.42853

Abstract

This study aims to determine the effect of the Tuberculosis rate on the poverty rate in 407 municipal districts in Indonesia in 2017. This study uses the Multiple linear regression (MLR) method with STATA 14. The results of the study indicate that the Tuberculosis rate has a positive effect - significant on the poverty rate, gdrp per capita has a negative effect – significant on poverty rate, and total health workers have a negative effect - significant on Tuberculosis cases. Keywords: poverty, gdrp per capita, health workers, tuberculosisJEL Classification:I32, O12, J83, I15 
SOCIOECONOMIC FACTORS AND SMOKING HABITS IN INDONESIA: ANALYSIS OF INDONESIAN FAMILY LIFE SURVEY (IFLS) 2014/2015 Widiandini Prita Hapsari; Teddy Harvi Satrio; Yolanda Orient; Tiara Kania Ladzuardini; Estro Dariatno Sihaloho
Jurnal Ekonomi Kesehatan Indonesia Vol 7, No 1 (2022)
Publisher : Fakultas Kesehatan Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7454/eki.v7i1.5411

Abstract

This study aims to find out what effects affect individuals to become smokers. So that the influence of socio-economic conditions and smoking habits in Indonesia can be helpful to literacy for policymakers. This study uses secondary data from the Indonesia Family Life Survey 2014/2015 (IFLS-5). The main variables in this study were smoking habits, while socio-economic conditions, social demographics and health conditions as control variables to see other factors that influence smoking habits. Using a logistic regression model, the results of this study indicate that several variables that represent socioeconomic conditions have a positive relationship and several other variables have a negative relationship to smoking habits in Indonesia and some show significant results. In the control variable, all demographic factors have a negative and significant effect on smoking habits. People with heart disease have a negative and significant effect, while people with symptoms of depression and physical activity have a positive and significant effect if health conditions are the control variables. With the results of the analysis above, it ends in a discussion of the Human Development Index (HDI) which can be a solution to the problems caused by cigarette consumption in Indonesia.