Evidence map›Paper›PMID 23241437›Full record

ArticleInternational journal of health geographics2012

Geographical epidemiology of antibacterials in the preschool age.

Massimo Cartabia, Rita Campi, Antonio Clavenna, Angela Bortolotti, Ida Fortino, Luca Merlino, Maurizio Bonati

Abstract read
In one paragraph

Article in International journal of health geographics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed.

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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

7 authors.

Massimo CartabiaDepartment of Public Health, Mario Negri Pharmacological Research Institute, Milan, Italy. massimo.cartabia@marionegri.it
Rita Campi
Antonio Clavenna
Angela Bortolotti
Ida Fortino
Luca Merlino
Maurizio Bonati

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThematic maps allow a more rapid and immediate reading of the geographical differences in the distribution of data referred to a specific territory. The aim of this study was to show, for the first time, the application of some statistical and cartographic tools in the analysis of drug utilization in the pediatric population of an Italian region, and to assess the intra-regional difference in the antibiotic prescriptions.

methodsTo assess the type of geographic distribution of the prescriptions, the analyses were based on the standardized prevalence rate (z-score) calculated at the local health unit, health district, and municipality levels. Pearson's coefficient of correlation was used to evaluate the correlation with hospitalization and the Moran's I index was used to evaluate the existence of spatial autocorrelation. With the use of Getis-Ord's G statistic, clusters of areas with high and low levels of prevalence were identified and mapped. The probability of receiving at least one prescription of antibacterials during the year for all the children included in the study was evaluated with a logistic regression model.

resultsWith the use of the maps it was possible to see that the prescriptions were not correlated with the health status of the population, but with the tendency of the pediatrician to prescribe drugs. This was also confirmed by the logistic regression model constructed to estimate the probability of receiving at least one prescription of antibacterials considering, as independent variables: age, sex, prevalence of hospitalizations in the district of residence, prescriptive attitude of the pediatrician, sex of the pediatrician, pediatrician's age group, and duration of the pediatrician's contract with the local health unit (LHU).

conclusionsThe priority actions to rationalize the use of antibacterials in the preschool age should concentrate on the active participation of the pediatricians in permanent education activities. Moreover, the competent authorities should increasing their efforts to limit unnecessary prescriptions and increase appropriateness of prescribing.

Indexed as

Drug UtilizationGeographic MappingAnti-Bacterial AgentsChild, PreschoolFemaleGeographic Information SystemsHospitalizationHumansInfantItalyLogistic ModelsMalePractice Patterns, Physicians'Anti-Bacterial Agents

Identifiers

PMID23241437
PMCPMC3539941

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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.