Literature DB >> 16032567

The economic burden of drug resistance.

David H Howard1, R Douglas Scott.   

Abstract

In recent years, researchers have made substantial progress in the development of methods to measure the burden of resistance and the application of those methods to the limited data available. Our understanding of the costs incurred by patients infected with resistant strains in hospital settings is much better than it was 10, or even 5, years ago. Research on the impact of resistance in the community is more limited. When multiple treatment options are available and prescribed treatment is empirical, resistance will lead to higher expenditures on drugs but not necessarily to increased patient morbidity and mortality. Understanding to what degree prescribing patterns are driven by real versus perceived limitations of first-line drugs is important for assessing the ability of public health campaigns to change the behavior of patients and providers.

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Year:  2005        PMID: 16032567     DOI: 10.1086/430792

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  14 in total

1.  Attitudes of community pharmacists to antibiotic dispensing and microbial resistance: a qualitative study in Portugal.

Authors:  Fátima Roque; Sara Soares; Luiza Breitenfeld; Ana López-Durán; Adolfo Figueiras; Maria Teresa Herdeiro
Journal:  Int J Clin Pharm       Date:  2013-02-09

Review 2.  Genomic and functional techniques to mine the microbiome for novel antimicrobials and antimicrobial resistance genes.

Authors:  Boahemaa Adu-Oppong; Andrew J Gasparrini; Gautam Dantas
Journal:  Ann N Y Acad Sci       Date:  2016-10-21       Impact factor: 5.691

3.  Out-of-pocket health expenditures and antimicrobial resistance in low-income and middle-income countries: an economic analysis.

Authors:  Marcella Alsan; Lena Schoemaker; Karen Eggleston; Nagamani Kammili; Prasanthi Kolli; Jay Bhattacharya
Journal:  Lancet Infect Dis       Date:  2015-07-09       Impact factor: 25.071

4.  Effects of a computerized provider order entry and a clinical decision support system to improve cefazolin use in surgical prophylaxis: a cost saving analysis.

Authors:  Lucas M Okumura; Izelandia Veroneze; Celia I Burgardt; Marta F Fragoso
Journal:  Pharm Pract (Granada)       Date:  2016-09-15

5.  Investigation of antimicrobial use at a tertiary care hospital in Southern Punjab, Pakistan using WHO methodology.

Authors:  Muhammad Atif; Muhammad Azeem; Anum Saqib; Shane Scahill
Journal:  Antimicrob Resist Infect Control       Date:  2017-04-28       Impact factor: 4.887

Review 6.  Antiviral drug resistance as an adaptive process.

Authors:  Kristen K Irwin; Nicholas Renzette; Timothy F Kowalik; Jeffrey D Jensen
Journal:  Virus Evol       Date:  2016-06-10

7.  Antimicrobial use by WHO methodology at primary health care centers: a cross sectional study in Punjab, Pakistan.

Authors:  Muhammad Rehan Sarwar; Anum Saqib; Sadia Iftikhar; Tayyaba Sadiq
Journal:  BMC Infect Dis       Date:  2018-09-29       Impact factor: 3.090

8.  Portuguese community pharmacists' attitudes to and knowledge of antibiotic misuse: questionnaire development and reliability.

Authors:  Fátima Roque; Sara Soares; Luiza Breitenfeld; Cristian Gonzalez-Gonzalez; Adolfo Figueiras; Maria Teresa Herdeiro
Journal:  PLoS One       Date:  2014-03-05       Impact factor: 3.240

9.  Determinants of antibiotic dispensing without a medical prescription: a cross-sectional study in the north of Spain.

Authors:  Maruxa Zapata-Cachafeiro; Cristian González-González; Juan M Váquez-Lago; Paula López-Vázquez; Ana López-Durán; Ernesto Smyth; Adolfo Figueiras
Journal:  J Antimicrob Chemother       Date:  2014-06-24       Impact factor: 5.790

10.  Physicians' attitudes and knowledge concerning antibiotic prescription and resistance: questionnaire development and reliability.

Authors:  António Teixeira Rodrigues; Mónica Ferreira; Fátima Roque; Amílcar Falcão; Elmano Ramalheira; Adolfo Figueiras; Maria Teresa Herdeiro
Journal:  BMC Infect Dis       Date:  2016-01-08       Impact factor: 3.090

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