Healthcare provider cost of antimicrobial resistance in two teaching hospitals in Ghana

Author:

Otieku Evans12ORCID,Kurtzhals Joergen Anders Lindholm34,Fenny Ama Pokuaa1ORCID,Ofori Alex Owusu56,Labi Appiah-Korang7ORCID,Enemark Ulrika2

Affiliation:

1. Economics Division, Institute of Statistical, Social and Economic Research (ISSER), University of Ghana , P.O. Box LG 74, Accra 233, Ghana

2. Department of Public Health, Aarhus University , Batholins Alle 1, Building No. 1261, Aarhus 8000, Denmark

3. Centre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen , Copenhagen 1165, Denmark

4. Department of Clinical Microbiology, Rigshospitalet, Copenhagen University Hospital , Copenhagen 1165, Denmark

5. Laboratory Services Directorate, Komfo Anokye Teaching Hospital , Kumasi 233, Ghana

6. Department of Clinical Microbiology, Korle-Bu Teaching Hospital, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology , Kumasi 233, Ghana

7. Department of Medical Microbiology, Korle-Bu Teaching Hospita, University of Ghana Medical School , Accra 233, Ghana

Abstract

Abstract Understanding the healthcare provider costs of antimicrobial resistance (AMR) in lower-middle-income countries would motivate healthcare facilities to prioritize reducing the AMR burden. This study evaluates the extra length of stay and the associated healthcare provider costs due to AMR to estimate the potential economic benefits of AMR prevention strategies. We combined data from a parallel cohort study with administrative data from the participating hospitals. The parallel cohort study prospectively matched a cohort of patients with bloodstream infections caused by third-generation cephalosporin-resistant enterobacteria and methicillin-resistant Staphylococcus aureus (AMR cohort) with two control arms: patients infected with similar susceptible bacteria and a cohort of uninfected controls. Data collection took place from June to December 2021. We calculated the cost using aggregated micro-costing and step-down costing approaches and converted costs into purchasing power parity in international US dollars, adjusting for surviving patients, bacterial species and cost centres. We found that the AMR cohort spent a mean of 4.2 extra days (95% CI: 3.7–4.7) at Hospital 1 and 5.5 extra days (95% CI: 5.1–5.9) at Hospital 2 compared with the susceptible cohort. This corresponds to an estimated mean extra cost of $823 (95% CI: 812–863) and $946 (95% CI: US$929–US$964) per admission, respectively. For both hospitals, the estimated mean annual extra cost attributable to AMR was approximately US$650 000. The cost varies by organism and type of resistance expressed. The result calls for prioritization of interventions to mitigate the spread of AMR in Ghana.

Funder

Graduate School of Health, Aarhus University, Aarhus, Denmarkk

Publisher

Oxford University Press (OUP)

Subject

Health Policy

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