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Factors Related To Health Insurance BPJS PBI Ownership Among Household Members Yosalli Yosalli; Heni Rusmitasari; Suyitno Suyitno; Sariana Sariana; Maretalinia Maretalinia
Jurnal EduHealth Vol. 14 No. 02 (2023): Periode April-June, 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (189.524 KB)

Abstract

This study aims to examine factors related to household members having BPJS PBI health insurance in Indonesia. A multistage cluster sample design was used to describe a probability sample of households and eligible females. The data were collected from the IPUMS PMA 2020 in Indonesia data. Based on chi-square analysis shows that the wealth quintile; middle, and poor, and residence; rural have a high association with ownership of BPJS PBI in Indonesia, while sex of a household member, age group, marital status, wealth quintile, and residence do not have significant association. The results of this study show that people who are poor and have a moderate level of wealth, stay in the rural, as children in the household, and live in marital status affect the ownership of BPJS PBI. These results can be used to formulate a strategy for strengthening health insurance ownership.
Factors associated with running out of food in the households during COVID-19 in Indonesia: Analysis RGA UN Women data 2021 Adi Yeremia Mamahit; Agnescia Clarissa Sera; Lili Amaliah; Maretalinia Maretalinia; Tommi Prayitno
Jurnal Penelitian Pendidikan IPA Vol. 9 No. SpecialIssue (2023): UNRAM journals and research based on science education, science appl
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.5988

Abstract

The issue of food insecurity during COVID-19 has occurred around the world, including in Indonesia. This study focused on factors associated with running out of food in the households as the outcome. The objective of this study was to examine the variables associated with running out of foods during the COVID-19 pandemic in Indonesia. This study used secondary data RGA from UN Women website to explore univariate, bivariate, and multivariate analysis. The results revealed that the main factors influencing running out of foods are five variables such as worries would not having enough food to eat, being unable to eat healthy and nutritious food, eating only a few kinds of foods, eating less than enough, and being hungry but did not eat. There are two variables that revealed moderate correlation such as skipping a meal and going without eating for a whole day. The strongest variable is HH’s head reported were hungry but did not eat which were 5.48 times more likely to run out of foods during the pandemic. Intervention and collaboration with other stakeholders need to be arranged well to prevent the severity food insecurity. Â