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Economic costs and health-related quality of life outcomes of hospitalised patients with high HIV prevalence: A prospective hospital cohort study in Malawi

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  • Hendramoorthy Maheswaran
  • Stavros Petrou
  • Danielle Cohen
  • Peter MacPherson
  • Felistas Kumwenda
  • David G Lalloo
  • Elizabeth L Corbett
  • Aileen Clarke

Abstract

Introduction: Although HIV infection and its associated co-morbidities remain the commonest reason for hospitalisation in Africa, their impact on economic costs and health-related quality of life (HRQoL) are not well understood. This information is essential for decision-makers to make informed choices about how to best scale-up anti-retroviral treatment (ART) programmes. This study aimed to quantify the impact of HIV infection and ART on economic outcomes in a prospective cohort of hospitalised patients with high HIV prevalence. Methods: Sequential medical admissions to Queen Elizabeth Central Hospital, Malawi, between June-December 2014 were followed until discharge, with standardised classification of medical diagnosis and estimation of healthcare resources used. Primary costing studies estimated total health provider cost by medical diagnosis. Participants were interviewed to establish direct non-medical and indirect costs. Costs were adjusted to 2014 US$ and INT$. HRQoL was measured using the EuroQol EQ-5D. Multivariable analyses estimated predictors of economic outcomes. Results: Of 892 eligible participants, 80.4% (647/892) were recruited and medical notes found. In total, 447/647 (69.1%) participants were HIV-positive, 339/447 (75.8%) were on ART prior to admission, and 134/647 (20.7%) died in hospital. Mean duration of admission for HIV-positive participants not on ART and HIV-positive participants on ART was 15.0 days (95%CI: 12.0–18.0) and 12.2 days (95%CI: 10.8–13.7) respectively, compared to 10.8 days (95%CI: 8.8–12.8) for HIV-negative participants. Mean total provider cost per hospital admission was US$74.78 (bootstrap 95%CI: US$25.41-US$124.15) higher for HIV-positive than HIV-negative participants. Amongst HIV-positive participants, the mean total provider cost was US$106.87 (bootstrap 95%CI: US$25.09-US$106.87) lower for those on ART than for those not on ART. The mean total direct non-medical and indirect cost per hospital admission was US$87.84. EQ-5D utility scores were lower amongst HIV-positive participants, but not significantly different between those on and not on ART. Conclusions: HIV-related hospital care poses substantial financial burdens on health systems and patients; however, per-admission costs are substantially lower for those already initiated onto ART prior to admission. These potential cost savings could offset some of the additional resources needed to provide universal access to ART.

Suggested Citation

  • Hendramoorthy Maheswaran & Stavros Petrou & Danielle Cohen & Peter MacPherson & Felistas Kumwenda & David G Lalloo & Elizabeth L Corbett & Aileen Clarke, 2018. "Economic costs and health-related quality of life outcomes of hospitalised patients with high HIV prevalence: A prospective hospital cohort study in Malawi," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-21, March.
  • Handle: RePEc:plo:pone00:0192991
    DOI: 10.1371/journal.pone.0192991
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    References listed on IDEAS

    as
    1. Clive Pritchard;Martin Sculpher, 2000. "Productivity Costs: Principles and Practice in Economic Evaluation," Monograph 000464, Office of Health Economics.
    2. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
    3. Drummond, Michael F. & Sculpher, Mark J. & Torrance, George W. & O'Brien, Bernie J. & Stoddart, Greg L., 2005. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 3, number 9780198529453.
    4. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    5. Motasim Badri & Gary Maartens & Sundhiya Mandalia & Linda-Gail Bekker & John R Penrod & Robert W Platt & Robin Wood & Eduard J Beck, 2005. "Cost-Effectiveness of Highly Active Antiretroviral Therapy in South Africa," PLOS Medicine, Public Library of Science, vol. 3(1), pages 1-1, December.
    6. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    7. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
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