Evidence map›Paper›PMID 38048336›Full record

ArticleHealth policy and planning2024

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

Evans Otieku, Joergen Anders Lindholm Kurtzhals, Ama Pokuaa Fenny, Alex Owusu Ofori, Appiah-Korang Labi, Ulrika Enemark

Open access · hybridAbstract read
In one paragraph

Article in Health policy and planning, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Evans OtiekuEconomics Division, Institute of Statistical, Social and Economic Research (ISSER), University of Ghana, P.O. Box LG 74, Accra 233, Ghana.ORCID 0000-0002-6809-5160
Joergen Anders Lindholm KurtzhalsCentre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen 1165, Denmark.
Ama Pokuaa FennyEconomics Division, Institute of Statistical, Social and Economic Research (ISSER), University of Ghana, P.O. Box LG 74, Accra 233, Ghana.ORCID 0000-0001-9367-1265
Alex Owusu OforiLaboratory Services Directorate, Komfo Anokye Teaching Hospital, Kumasi 233, Ghana.
Appiah-Korang LabiDepartment of Medical Microbiology, Korle-Bu Teaching Hospita, University of Ghana Medical School, Accra 233, Ghana.ORCID 0000-0001-7276-7057
Ulrika EnemarkDepartment of Public Health, Aarhus University, Batholins Alle 1, Building No. 1261, Aarhus 8000, Denmark.
University of Ghana · GHAarhus University · DKKomfo Anokye Teaching Hospital · GHUniversity of Copenhagen · DK

Funding

Graduate School of Health, Aarhus University, Aarhus, Denmarkk Not Applicable
6 · The paper itself

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.

Indexed as

Anti-Bacterial AgentsMethicillin-Resistant Staphylococcus aureusCohort StudiesDrug Resistance, BacterialGhanaHealth PersonnelHospitals, TeachingHumansAnti-Bacterial AgentsAntimicrobial resistanceeconomic costhealthcare providerpolicymaking

Identifiers

PMID38048336
PMCPMC11020270
OpenAlexW4389304056

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.