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Assessing the efficiency of mother-to-child HIV prevention in low- and middle-income countries using data envelopment analysis

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  • Sérgio Santos
  • Carla Amado
  • Mauro Santos

Abstract

AIDS is one of the most significant health care problems worldwide. Due to the difficulty and costs involved in treating HIV, preventing infection is of paramount importance in controlling the AIDS epidemic. The main purpose of this paper is to explore the potential of using Data Envelopment Analysis (DEA) to establish international comparisons on the efficiency of implementation of HIV prevention programmes. To do this we use data from 52 low- and middle-income countries regarding the prevention of mother-to-child transmission of HIV. Our results indicate that there is a remarkable variation in the efficiency of prevention services across nations, suggesting that a better use of resources could lead to more and improved services, and ultimately, prevent the infection of thousands of children. These results also demonstrate the potential strategic role of DEA for the efficient and effective planning of scarce resources to fight the epidemic. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Sérgio Santos & Carla Amado & Mauro Santos, 2012. "Assessing the efficiency of mother-to-child HIV prevention in low- and middle-income countries using data envelopment analysis," Health Care Management Science, Springer, vol. 15(3), pages 206-222, September.
    • Handle: RePEc:kap:hcarem:v:15:y:2012:i:3:p:206-222
    DOI: 10.1007/s10729-012-9196-9
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    1. Cooper, William W. & Ruiz, Jose L. & Sirvent, Inmaculada, 2007. "Choosing weights from alternative optimal solutions of dual multiplier models in DEA," European Journal of Operational Research, Elsevier, vol. 180(1), pages 443-458, July.
    2. B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 733-735.
    3. Sarrico, C. S. & Dyson, R. G., 2004. "Restricting virtual weights in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 159(1), pages 17-34, November.
    4. Bruce Hollingsworth, 2008. "The measurement of efficiency and productivity of health care delivery," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1107-1128, October.
    5. Royston, Geoff, 1998. "Shifting the balance of health care into the 21st century," European Journal of Operational Research, Elsevier, vol. 105(2), pages 267-276, March.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Kaplan, E.H. & Merson, M.H., 2002. "Allocating HIV-prevention resources: Balancing efficiency and equity," American Journal of Public Health, American Public Health Association, vol. 92(12), pages 1905-1907.
    8. Zanakis, Stelios H. & Alvarez, Cecilia & Li, Vivian, 2007. "Socio-economic determinants of HIV/AIDS pandemic and nations efficiencies," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1811-1838, February.
    9. F Pedraja-Chaparro & J Salinas-Jiménez & P Smith, 1999. "On the quality of the data envelopment analysis model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(6), pages 636-644, June.
    10. Arielle Lasry & Stephanie Sansom & Katherine Hicks & Vladislav Uzunangelov, 2011. "A model for allocating CDC’s HIV prevention resources in the United States," Health Care Management Science, Springer, vol. 14(1), pages 115-124, March.
    11. Brown, T.M. & Cueto, M. & Fee, E., 2006. "The World Health Organization and the transition from international to global public health," American Journal of Public Health, American Public Health Association, vol. 96(1), pages 62-72.
    12. Stephanie Earnshaw & Katherine Hicks & Anke Richter & Amanda Honeycutt, 2007. "A linear programming model for allocating HIV prevention funds with state agencies: a pilot study," Health Care Management Science, Springer, vol. 10(3), pages 239-252, September.
    13. Steffen Flessa, 2000. "Where efficiency saves lives: A linear programme for the optimal allocation of health care resources in developing countries," Health Care Management Science, Springer, vol. 3(3), pages 249-267, June.
    14. Margaret Brandeau & Gregory Zaric, 2009. "Optimal investment in HIV prevention programs: more is not always better," Health Care Management Science, Springer, vol. 12(1), pages 27-37, March.
    15. Kaufmann, Daniel & Kraay, Aart & Mastruzzi, Massimo, 2010. "The worldwide governance indicators : methodology and analytical issues," Policy Research Working Paper Series 5430, The World Bank.
    16. James Langabeer & Yasar Ozcan, 2009. "The economics of cancer care: longitudinal changes in provider efficiency," Health Care Management Science, Springer, vol. 12(2), pages 192-200, June.
    17. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    18. Msellati, Philippe, 2009. "Improving mothers' access to PMTCT programs in West Africa: A public health perspective," Social Science & Medicine, Elsevier, vol. 69(6), pages 807-812, September.
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    2. Margit Sommersguter-Reichmann, 2022. "Health care quality in nonparametric efficiency studies: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 67-131, March.
    3. Breitenbach, Marthinus C & Ngobeni, Victor & Aye, Goodness C, 2020. "Global Healthcare Resource Efficiency in the Management of COVID-19 Death and Infection Prevalence Rates," MPRA Paper 104814, University Library of Munich, Germany.
    4. Nguenda anya Saturnin bertrand, 2017. "An analysis of the efficiency of the National Programme for the Fight against HIV/AIDs in Cameroon," Economics Bulletin, AccessEcon, vol. 37(2), pages 1068-1076.

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