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Out-of-pocket expenditures and financial risks associated with treatment of vaccine-preventable diseases in Ethiopia: A cross-sectional costing analysis

Author

Listed:
  • Solomon Tessema Memirie
  • Mieraf Taddesse Tolla
  • Eva Rumpler
  • Ryoko Sato
  • Sarah Bolongaita
  • Yohannes Lakew Tefera
  • Latera Tesfaye
  • Meseret Zelalem Tadesse
  • Fentabil Getnet
  • Tewodaj Mengistu
  • Stéphane Verguet

Abstract

Background: Vaccine-preventable diseases (VPDs) remain major causes of morbidity and mortality in low- and middle-income countries (LMICs). Universal access to vaccination, besides improved health outcomes, would substantially reduce VPD-related out-of-pocket (OOP) expenditures and associated financial risks. This paper aims to estimate the extent of OOP expenditures and the magnitude of the associated catastrophic health expenditures (CHEs) for selected VPDs in Ethiopia. Methods and findings: We conducted a cross-sectional costing analysis, from the household (patient) perspective, of care-seeking for VPDs in children aged under 5 years for pneumonia, diarrhea, measles, and pertussis, and in children aged under 15 years for meningitis. Data on OOP direct medical and nonmedical expenditures (2021 USD) and household consumption expenditures were collected from 995 households (1 child per household) in 54 health facilities nationwide between May 1 and July 31, 2021. We used descriptive statistics to measure the main outcomes: magnitude of OOP expenditures, along with the associated CHE within households. Drivers of CHE were assessed using a logistic regression model. The mean OOP expenditures per disease episode for outpatient care for diarrhea, pneumonia, pertussis, and measles were $5·6 (95% confidence interval (CI): $4·3, 6·8), $7·8 ($5·3, 10·3), $9·0 ($6·4, 11·6), and $7·4 ($3·0, 11·9), respectively. The mean OOP expenditures were higher for inpatient care, ranging from $40·6 (95% CI: $12·9, 68·3) for severe measles to $101·7 ($88·5, 114·8) for meningitis. Direct medical expenditures, particularly drug and supply expenses, were the major cost drivers. Among those who sought inpatient care (345 households), about 13·3% suffered CHE, at a 10% threshold of annual consumption expenditures. The type of facility visited, receiving inpatient care, and wealth were significant predictors of CHE (p-value

Suggested Citation

  • Solomon Tessema Memirie & Mieraf Taddesse Tolla & Eva Rumpler & Ryoko Sato & Sarah Bolongaita & Yohannes Lakew Tefera & Latera Tesfaye & Meseret Zelalem Tadesse & Fentabil Getnet & Tewodaj Mengistu & , 2023. "Out-of-pocket expenditures and financial risks associated with treatment of vaccine-preventable diseases in Ethiopia: A cross-sectional costing analysis," PLOS Medicine, Public Library of Science, vol. 20(3), pages 1-17, March.
    • Handle: RePEc:plo:pmed00:1004198
    DOI: 10.1371/journal.pmed.1004198
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    References listed on IDEAS

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    1. Deaton, A. & Zaidi, S., 1999. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," Papers 192, Princeton, Woodrow Wilson School - Development Studies.
    2. Angus Deaton & Salman Zaidi, 2002. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," World Bank Publications, The World Bank, number 14101, April.
    3. Adam Wagstaff & Eddy van Doorslaer, 2003. "Catastrophe and impoverishment in paying for health care: with applications to Vietnam 1993–1998," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 921-933, November.
    4. Angela Chang & Carlos Riumallo-Herl & Nicole Perales & Samantha Clark & Andrew Clark & Dagna Constenla & Tini Garske & Michael Jackson & Kévin Jean & Mark Jit & Edward Jones & Xi Li & Chutima Suraratd, 2018. "The Equity Impact Vaccines May Have On Averting Deaths And Medical Impoverishment In Developing Countries," Post-Print hal-03200172, HAL.
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