{"title":"乌干达医疗保健需求的多层次分析:来自2016/17年全国家庭调查的经验证据","authors":"Stella Nakiyingi, Dablin Mpuuga","doi":"10.56279/ter.v11i2.81","DOIUrl":null,"url":null,"abstract":"This study examines determinants of health-care demand in Uganda, by estimating mixed-effects logistic regressions using data from the Uganda National Household Survey (UNHS) - 2016/17. The study firstly compares the 2012/13 and 2016/17 UNHS data and finds that the demand for health care in Uganda has decreased, except for the sub-regions of Busoga, Central I, and Kigezi. Secondly, the results from a mixed-effects regression on the entire sample show that health-care demand at an individual level is associated with individual’s age, smoking habits, and non-communicable disease (NCD) status, whereas household size and poverty status determine health-care demand at the household level. Running separate models for each region to investigate regional peculiarities, the results show disparities in health-care demand among regions in Uganda. Therefore, to improve efficacy and health-care seeking behaviours of Ugandans, policies should recognize and be tailored to address individual, household as well as regional peculiarities. \nJEL Codes: A10, I11, I19","PeriodicalId":91807,"journal":{"name":"Tanzanian economic review","volume":"46 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-Level Analysis of Health Care Demand in Uganda: Empirical Evidence from the National Household Survey – 2016/17\",\"authors\":\"Stella Nakiyingi, Dablin Mpuuga\",\"doi\":\"10.56279/ter.v11i2.81\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines determinants of health-care demand in Uganda, by estimating mixed-effects logistic regressions using data from the Uganda National Household Survey (UNHS) - 2016/17. The study firstly compares the 2012/13 and 2016/17 UNHS data and finds that the demand for health care in Uganda has decreased, except for the sub-regions of Busoga, Central I, and Kigezi. Secondly, the results from a mixed-effects regression on the entire sample show that health-care demand at an individual level is associated with individual’s age, smoking habits, and non-communicable disease (NCD) status, whereas household size and poverty status determine health-care demand at the household level. Running separate models for each region to investigate regional peculiarities, the results show disparities in health-care demand among regions in Uganda. Therefore, to improve efficacy and health-care seeking behaviours of Ugandans, policies should recognize and be tailored to address individual, household as well as regional peculiarities. \\nJEL Codes: A10, I11, I19\",\"PeriodicalId\":91807,\"journal\":{\"name\":\"Tanzanian economic review\",\"volume\":\"46 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tanzanian economic review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.56279/ter.v11i2.81\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tanzanian economic review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56279/ter.v11i2.81","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Level Analysis of Health Care Demand in Uganda: Empirical Evidence from the National Household Survey – 2016/17
This study examines determinants of health-care demand in Uganda, by estimating mixed-effects logistic regressions using data from the Uganda National Household Survey (UNHS) - 2016/17. The study firstly compares the 2012/13 and 2016/17 UNHS data and finds that the demand for health care in Uganda has decreased, except for the sub-regions of Busoga, Central I, and Kigezi. Secondly, the results from a mixed-effects regression on the entire sample show that health-care demand at an individual level is associated with individual’s age, smoking habits, and non-communicable disease (NCD) status, whereas household size and poverty status determine health-care demand at the household level. Running separate models for each region to investigate regional peculiarities, the results show disparities in health-care demand among regions in Uganda. Therefore, to improve efficacy and health-care seeking behaviours of Ugandans, policies should recognize and be tailored to address individual, household as well as regional peculiarities.
JEL Codes: A10, I11, I19