Influence of population structure on the consumption of systemic antibiotics

García, E. Pastor; Bouza, José Marı́a Eiros; Mayo-Íscar, Agustín; Bachiller, Rosario

doi:10.1016/j.ijantimicag.2004.07.017

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…In the Netherlands, the country with the second lowest outpatient antibiotic use, a range between 7.2 and 11.2 DID (factor 1.6) was observed in 1999 [13]. Other countries like Spain, Italy, the UK and France also reported recent outpatient antibiotic consumption rates varying substantially according to region [12,14,[20][21][22][23]. The reasons for these within country differences that may be as large as twofold or even higher are not well understood.…”

Section: Discussionmentioning

confidence: 99%

“…The estimated use density in Germany, one of the largest countries in Europe with a decentralised health system, has been relatively low (~13.6 DID) and comparable to what has been observed in Austria and Denmark [5]. Based on earlier observations, however, there may be considerable regional variation in outpatient antibiotic prescribing within a given country [12][13][14]. Information about such regional variation may be important to understand the dynamics in the emergence and spread of resistant pathogens, but is also critically needed for planning targeted cost-effective interventions.…”

Section: Introductionmentioning

confidence: 97%

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Regional Variation in Outpatient Antibiotic Prescribing in Germany

et al. 2006

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Regional Variation in Outpatient Antibiotic Prescribing in Germany

et al. 2006

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“…Typically, geographic differences are assessed using analytical methods addressing the central tendency of the dispensing rates. [1][2][3][4][5][6][7][8][9] Considering the public health implications of high vs. low antibiotic use, examining the characteristics of the extreme quantiles may be of greater interest. Identifying predictors for high consumption may pinpoint areas for interventions and may contribute to optimize the effect of interventions to reduce antibiotic consumption.…”

Section: Abstract Antibiotic Consumption Latitude Municipality Sizementioning

confidence: 99%

Antibiotics to outpatients in Norway—Assessing effect of latitude and municipality population size using quantile regression in a cross‐sectional study

Haugen

Simonsen

Primicerio

et al. 2017

Pharmaceutical Statistics

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High antibiotic consumption rates are associated to high prevalence of antimicrobial resistance. Geographical differences in dispensing rates of antibiotics are frequently analysed using statistical methods addressing the central tendency of the data. Yet, examining extreme quantiles may be of equal or greater interest if the problem relates to the extremes of consumption rates, as is the case for antimicrobial resistance. The objective of this study was to investigate how geographic location (latitude) and municipality population size affect antibiotic consumption in Norway. We analysed all outpatient antibiotic prescriptions (n > 14 000 000) in Norway between 2004 and 2010 using quantile regression. Data were stratified by year, and we aggregated individual data to municipality, county, or latitudinal range. We specified the quantile regression models using directed acyclic graphs and selected the model based on Akaike information criteria. Yearly outpatient antibiotic consumption in Norway varied up to 10-fold at municipality level. We found geographical variation to depend on the number of inhabitants in a municipality and on latitude. These variables interacted, so that consumption declined with increasing latitude when municipality population sizes were small, but the effect of latitude diminished as the number of inhabitants increased. Aggregation to different levels of spatial resolution did not significantly affect our results. In Norway, outpatient antibiotic dispensing rates decreases with latitude at a rate contingent on municipality population size. Quantile regression analysis provides a flexible and powerful tool to address problems related to high, or low, dispensing rates.

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“…De manera deliberadamente orientada desde el ámbito dermatológico, se pueden establecer las prioridades de información al servicio de buenas prácticas de prevención. Un aspecto adicional es el estudio desagregado del consumo de antibióticos por grupos etarios (en nuestro caso hasta los 18 años) por focalidades infecciosas y por áreas geográficas 11 . Nuestra experiencia en estudios multicéntricos a lo largo de la última década ha permitido documentar una gran variabilidad en la prescripción en diferentes segmentos etarios, en cuadros respiratorios evaluados a escala nacional 12,13 .…”

Section: Posibilidades De Actuaciónunclassified

Importancia de las resistencias antibióticas bacterianas en dermatología

Bouza¹

2011

Más Dermatol.

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Influence of population structure on the consumption of systemic antibiotics

Cited by 5 publications

References 6 publications

Regional Variation in Outpatient Antibiotic Prescribing in Germany

Regional Variation in Outpatient Antibiotic Prescribing in Germany

Antibiotics to outpatients in Norway—Assessing effect of latitude and municipality population size using quantile regression in a cross‐sectional study

Importancia de las resistencias antibióticas bacterianas en dermatología

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