A model for analysis of antibiotic usage in low-income settings

被引:0
|
作者
Rockwood, Neesha [1 ,2 ]
Mani, Uma [3 ]
Ranawaka, Sarith [4 ]
Gunarathna, Sathika [4 ]
Sivaganesh, Sivasuriya [4 ]
机构
[1] Univ Colombo, Fac Med, Dept Med Microbiol & Immunol, Colombo, Sri Lanka
[2] Imperial Coll London, Dept Infect Dis, London, England
[3] Univ Chicago, Dept Neurosci, Chicago, IL USA
[4] Univ Colombo, Fac Med, Dept Surg, Colombo, Sri Lanka
关键词
D O I
10.1093/jac/dkad199
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Objectives Quantification of antibiotic usage is an important component of antimicrobial stewardship programmes. We aimed to estimate institutional antibiotic usage and costs using methodology and metrics applicable to low-income settings without electronic health records. Methods The DDD per 100 patient-days (DDDs/100 PDs) of antibiotics used in a calendar year was calculated retrospectively from ward registers and inpatient drug records in general surgical wards of a tertiary hospital. The antibiotics were categorized using the Access, Watch, Reserve classification. The annual expenditure on antibiotics was estimated from price lists of the state medication procurer. Results Annual usage of IV co-amoxiclav, cefuroxime and metronidazole was significantly higher than other antibiotics and certain wards showed outlier use of the same. The IV formulations of co-amoxiclav (5-fold), metronidazole (3-fold) and ciprofloxacin (2-fold) were used in excess of the oral formulation. Proportionate antibiotic usage based on the AWaRe category did not vary significantly between wards. Two wards were outliers for annual expenditure/100 PDs. IV clindamycin and meropenem combined accounted for 43.8% of expenditure on antibiotics. Conclusions This study demonstrated intra-institutional variations of annual antibiotic usage and related costs. The metric DDD/100 PDs and the methodology used here are suitable for intra- and inter-institutional analyses of antibiotic usage, particularly in low-income settings.
引用
收藏
页码:2015 / 2018
页数:4
相关论文
共 50 条
  • [1] Antibiotic consumption in low-income and middle-income countries
    Hamers, Raph L.
    van Doorn, H. Rogier
    [J]. LANCET GLOBAL HEALTH, 2018, 6 (07): : E732 - E732
  • [2] Health workforce retention in low-income settings: an application of the Root Stem Model
    Makuku, Rangarirai
    Mosadeghrad, Ali Mohammad
    [J]. JOURNAL OF PUBLIC HEALTH POLICY, 2022, 43 (03) : 445 - 455
  • [3] Health workforce retention in low-income settings: an application of the Root Stem Model
    Rangarirai Makuku
    Ali Mohammad Mosadeghrad
    [J]. Journal of Public Health Policy, 2022, 43 : 445 - 455
  • [4] Computer usage and access in low-income urban communities
    Araque, J. C.
    Maiden, R. P.
    Bravo, N.
    Estrada, I.
    Evans, R.
    Hubchik, K.
    Kirby, K.
    Reddy, M.
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2013, 29 (04) : 1393 - 1401
  • [5] Pellagra in low-income settings: can we prevent it?
    Navarro-Fernandez, I.
    Mateche, E.
    Vilanova-Urdaniz, I.
    Galvan-Casas, C.
    [J]. BRITISH JOURNAL OF DERMATOLOGY, 2021, 185 : 65 - 66
  • [7] Consent and assent in paediatric research in low-income settings
    Cheah, Phaik Yeong
    Parker, Michael
    [J]. BMC MEDICAL ETHICS, 2014, 15
  • [8] Achieving universal health coverage in low-income settings
    Sachs, Jeffrey D.
    [J]. LANCET, 2012, 380 (9845): : 944 - 947
  • [9] Consent and assent in paediatric research in low-income settings
    Phaik Yeong Cheah
    Michael Parker
    [J]. BMC Medical Ethics, 15
  • [10] Growth monitoring and the prognosis of mortality in low-income settings
    Prentice, Andrew M.
    Nabwera, Helen
    Unger, Stefan
    Moores, Sophie E.
    [J]. AMERICAN JOURNAL OF CLINICAL NUTRITION, 2016, 103 (03): : 681 - 682