Multi-Level Analysis of Health Care Demand in Uganda: Empirical Evidence from the National Household Survey – 2016/17

Authors

DOI:

https://doi.org/10.56279/ter.v11i2.81

Keywords:

demand, health care, mixed-effects logit

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.

JEL Codes: A10, I11, I19

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Author Biographies

Stella Nakiyingi, Makerere University

School of Statistics and Planning

Dablin Mpuuga, Makerere University

Economic Policy Research Centre

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Published

2022-02-28

How to Cite

Nakiyingi, S., & Mpuuga, D. (2022). Multi-Level Analysis of Health Care Demand in Uganda: Empirical Evidence from the National Household Survey – 2016/17. Tanzanian Economic Review, 11(2), 1-21. https://doi.org/10.56279/ter.v11i2.81