IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i3p2640-d1054235.html
   My bibliography  Save this article

Catastrophic Costs among Tuberculosis-Affected Households in Egypt: Magnitude, Cost Drivers, and Coping Strategies

Author

Listed:
  • Ramy Mohamed Ghazy

    (Tropical Health Department, High Institute of Public Health, Alexandria University, Alexandria 21561, Egypt)

  • Malik Sallam

    (Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan, Amman 11942, Jordan
    Department of Clinical Laboratories and Forensic Medicine, Jordan University Hospital, Amman 11942, Jordan)

  • Rasha Ashmawy

    (Department of Clinical Research, Maamora Chest Hospital, Alexandria 21923, Egypt)

  • Amira Mohamed Elzorkany

    (Egyptian Ministry of Health and Population, Alexandria 21554, Egypt)

  • Omar Ahmed Reyad

    (Internal Medicine and Cardiology Clinical Pharmacy Department, Alexandria University Main Hospital, Alexandria 21526, Egypt)

  • Noha Alaa Hamdy

    (Department of Clinical Pharmacy & Pharmacy Practice, Faculty of Pharmacy, Alexandria University, Alexandria 21521, Egypt)

  • Heba Khedr

    (MDR-TB Center, Maamora Chest Hospital, Alexandria 21912, Egypt)

  • Rasha Ali Mosallam

    (Department of Health Administration and Behavioral Science, High Institute of Public Health, Alexandria University, Alexandria 21561, Egypt)

Abstract

Despite national programs covering the cost of treatment for tuberculosis (TB) in many countries, TB patients still face substantial costs. The end TB strategy, set by the World Health Organization (WHO), calls for “zero” TB households to be affected by catastrophic payments by 2025. This study aimed to measure the catastrophic healthcare payments among TB patients in Egypt, to determine its cost drivers and determinants and to describe the coping strategies. The study utilized an Arabic-validated version of the TB cost tool developed by the WHO for estimating catastrophic healthcare expenditure using the cluster-based sample survey with stratification in seven administrative regions in Alexandria. TB payments were considered catastrophic if the total cost exceeded 20% of the household’s annual income. A total of 276 patients were interviewed: 76.4% were males, 50.0% were in the age group 18–35, and 8.3% had multidrug-resistant TB. Using the human capital approach, 17.0% of households encountered catastrophic costs compared to 59.1% when using the output approach. The cost calculation was carried out using the Egyptian pound converted to the United States dollars based on 2021 currency values. Total TB cost was United States dollars (USD) 280.28 ± 29.9 with a total direct cost of USD 103 ± 10.9 and a total indirect cost of USD 194.15 ± 25.5. The direct medical cost was the main cost driver in the pre-diagnosis period (USD 150.23 ± 26.89 pre diagnosis compared to USD 77.25 ± 9.91 post diagnosis, p = 0.013). The indirect costs (costs due to lost productivity) were the main cost driver in the post-diagnosis period (USD 4.68 ± 1.18 pre diagnosis compared to USD 192.84 ± 25.32 post diagnosis, p < 0.001). The households drew on multiple financial strategies to cope with TB costs where 66.7% borrowed and 25.4% sold household property. About two-thirds lost their jobs and another two-thirds lowered their food intake. Being female, delay in diagnosis and being in the intensive phase were significant predictors of catastrophic payment. Catastrophic costs were high among TB households in Alexandria and showed wide variation according to the method used for indirect cost estimation. The main cost driver before diagnosis was the direct medical costs, while it was the indirect costs, post diagnosis.

Suggested Citation

  • Ramy Mohamed Ghazy & Malik Sallam & Rasha Ashmawy & Amira Mohamed Elzorkany & Omar Ahmed Reyad & Noha Alaa Hamdy & Heba Khedr & Rasha Ali Mosallam, 2023. "Catastrophic Costs among Tuberculosis-Affected Households in Egypt: Magnitude, Cost Drivers, and Coping Strategies," IJERPH, MDPI, vol. 20(3), pages 1-14, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2640-:d:1054235
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/3/2640/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/3/2640/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tom Wingfield & Delia Boccia & Marco Tovar & Arquímedes Gavino & Karine Zevallos & Rosario Montoya & Knut Lönnroth & Carlton A Evans, 2014. "Defining Catastrophic Costs and Comparing Their Importance for Adverse Tuberculosis Outcome with Multi-Drug Resistance: A Prospective Cohort Study, Peru," PLOS Medicine, Public Library of Science, vol. 11(7), pages 1-17, July.
    2. William E Rudgard & Carlton A Evans & Sedona Sweeney & Tom Wingfield & Knut Lönnroth & Draurio Barreira & Delia Boccia, 2017. "Comparison of two cash transfer strategies to prevent catastrophic costs for poor tuberculosis-affected households in low- and middle-income countries: An economic modelling study," PLOS Medicine, Public Library of Science, vol. 14(11), pages 1-28, November.
    3. Yoko Laurence & Ulla Griffiths & Anna Vassall, 2015. "Costs to Health Services and the Patient of Treating Tuberculosis: A Systematic Literature Review," PharmacoEconomics, Springer, vol. 33(9), pages 939-955, September.
    4. Margaret Grosh & Paul Glewwe, 2000. "Designing Household Survey Questionnaires for Developing Countries," World Bank Publications - Books, The World Bank Group, number 25338, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Phonenaly Chittamany & Takuya Yamanaka & Sakhone Suthepmany & Thepphouthone Sorsavanh & Phitsada Siphanthong & Jacques Sebert & Kerri Viney & Thipphasone Vixaysouk & Moeko Nagai & Vilath Seevisay & Ki, 2020. "First national tuberculosis patient cost survey in Lao People’s Democratic Republic: Assessment of the financial burden faced by TB-affected households and the comparisons by drug-resistance and HIV s," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-21, November.
    2. John A. Maluccio, 2009. "Household targeting in practice: The Nicaraguan Red de Protección Social," Journal of International Development, John Wiley & Sons, Ltd., vol. 21(1), pages 1-23.
    3. Gunther Bensch & Jörg Peters, 2013. "Alleviating Deforestation Pressures? Impacts of Improved Stove Dissemination on Charcoal Consumption in Urban Senegal," Land Economics, University of Wisconsin Press, vol. 89(4), pages 676-698.
    4. Barik, Debasis & Desai, Sonalde & Vanneman, Reeve, 2018. "Economic Status and Adult Mortality in India: Is the Relationship Sensitive to Choice of Indicators?," World Development, Elsevier, vol. 103(C), pages 176-187.
    5. Mohammad Abu-Zaineh & Habiba Romdhane & Bruno Ventelou & Jean-Paul Moatti & Arfa Chokri, 2013. "Appraising financial protection in health: the case of Tunisia," International Journal of Health Economics and Management, Springer, vol. 13(1), pages 73-93, March.
    6. Sem J. Duijndam & W. J. Wouter Botzen & Liselotte C. Hagedoorn & Philip Bubeck & Toon Haer & My Pham & Jeroen C. J. H. Aerts, 2023. "Drivers of migration intentions in coastal Vietnam under increased flood risk from sea level rise," Climatic Change, Springer, vol. 176(2), pages 1-22, February.
    7. Van Landeghem, Bert & Vandeplas, Anneleen, 2018. "The relationship between status and happiness: Evidence from the caste system in rural India," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 77(C), pages 62-71.
    8. Fujii, Tomoki & Shonchoy, Abu S. & Xu, Sijia, 2018. "Impact of Electrification on Children’s Nutritional Status in Rural Bangladesh," World Development, Elsevier, vol. 102(C), pages 315-330.
    9. Leandro De Magalhães & Dongya Koh & Raül Santaeulàlia-Llopis, 2016. "Consumption and Expenditure in Sub-Saharan Africa," Bristol Economics Discussion Papers 16/677, School of Economics, University of Bristol, UK, revised 07 Oct 2016.
    10. Reena Badiani, 2007. "Changes in Living Standards in Villages in India 1975-2004: Revisiting the ICRISAT Village Level Studies," Working Papers id:1172, eSocialSciences.
    11. Sawada Yasuyuki & Sugawara Shinya & Shoji Masahiro & Shinkai Naoko, 2014. "The Role of Infrastructure in Mitigating Poverty Dynamics: The Case of an Irrigation Project in Sri Lanka," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 14(3), pages 1-28, July.
    12. Dupre, Samuel I. & Harvey, Celia A. & Holland, Margaret B., 2022. "The impact of coffee leaf rust on migration by smallholder coffee farmers in Guatemala," World Development, Elsevier, vol. 156(C).
    13. Attahiru, Yusuf Babangida & Aziz, Md. Maniruzzaman A. & Kassim, Khairul Anuar & Shahid, Shamsuddin & Wan Abu Bakar, Wan Azelee & NSashruddin, Thanwa Filza & Rahman, Farahiyah Abdul & Ahamed, Mohd Imra, 2019. "A review on green economy and development of green roads and highways using carbon neutral materials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 600-613.
    14. Haddad, Lawrence James & Alderman, Harold & Appleton, Simon & Song, Lina & Yohannes, Yisehac, 2002. "Reducing child undernutrition," FCND discussion papers 137, International Food Policy Research Institute (IFPRI).
    15. Ye, Yuxiang & Koch, Steven F., 2021. "Measuring energy poverty in South Africa based on household required energy consumption," Energy Economics, Elsevier, vol. 103(C).
    16. Xiaowei Yang & Jianmin Gao & Zhongliang Zhou & Jue Yan & Sha Lai & Yongjian Xu & Gang Chen, 2016. "Assessing the Effects of the New Cooperative Medical Scheme on Alleviating the Health Payment-Induced Poverty in Shaanxi Province, China," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-12, July.
    17. Leandro DE MAGALHÃES & Dongya KOH & Räul SANTAEULILA-LLOPIS, 2019. "The Cost of Consumption Smoothing: Less Schooling and less Nutrition," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 85(3), pages 181-208, September.
    18. David E. Sahn & Stephen D. Younger, 2009. "Measuring intra‐household health inequality: explorations using the body mass index," Health Economics, John Wiley & Sons, Ltd., vol. 18(S1), pages 13-36, April.
    19. Quentin Wodon & Elena Bardasi, 2006. "Measuring Time Poverty and Analyzing its Determinants: Concepts and Application to Guinea," Economics Bulletin, AccessEcon, vol. 10(12), pages 1-7.
    20. Lindsay C. Kobayashi & Sarah Frank & Carlos Riumallo-Herl & David Canning & Lisa Berkman, 2019. "Socioeconomic gradients in chronic disease risk behaviors in a population-based study of older adults in rural South Africa," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(1), pages 135-145, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2640-:d:1054235. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.