Cargando…
Prevalence of antibiotic prescription in pediatric outpatients in Italy: the role of local health districts and primary care physicians in determining variation. A multilevel design for healthcare decision support
BACKGROUND: According to scientific literature, antibacterials are prescribed for common pediatric conditions that do not benefit from antibiotic therapy. The link between antibiotic use and bacterial resistance is well known. Antibiotic overprescribing generates high social costs and severe consequ...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5693576/ https://www.ncbi.nlm.nih.gov/pubmed/29149875 http://dx.doi.org/10.1186/s12889-017-4905-4 |
_version_ | 1783279977825828864 |
---|---|
author | Di Martino, Mirko Lallo, Adele Kirchmayer, Ursula Davoli, Marina Fusco, Danilo |
author_facet | Di Martino, Mirko Lallo, Adele Kirchmayer, Ursula Davoli, Marina Fusco, Danilo |
author_sort | Di Martino, Mirko |
collection | PubMed |
description | BACKGROUND: According to scientific literature, antibacterials are prescribed for common pediatric conditions that do not benefit from antibiotic therapy. The link between antibiotic use and bacterial resistance is well known. Antibiotic overprescribing generates high social costs and severe consequences for children. Our objectives were to analyze antibiotic prescription patterns in pediatric outpatients residing in the Lazio region (Italy), to identify physicians’ characteristics associated with increased propensity for prescription, to identify the priority axes for action to improve the rational use of antibiotics. METHODS: We enrolled all children aged 13 years or less in 2014. Antibiotic prescription patterns were analyzed during a one-year follow-up period. The main outcome measures were the antibiotic prescription prevalence, and the geographic variation in antibiotic prescribing. Multilevel models were performed to analyze variation. Variation was expressed as Median Odds Ratios (MORs). If the MOR is 1.00, there is no variation between clusters. If there is considerable between-cluster variation, the MOR will be large. RESULTS: We enrolled 636,911 children. Most of them were aged 6–13 years (57.3%). In 2015, the antibiotic prescription prevalence was 46% in the 0–13, 58% in the 0–5, and 37% in the 6–13 age group. Overall, penicillins were the most prescribed antibiotics, their consumption increased from 43% to 52% during the 2007–2015 period. In 2015, the antibiotic prescription prevalence ranged from 30% to 62% across local health districts (LHDs) of the region. Moreover, a significant (p < 0.001) variation was observed between physicians working in the same LHD: MORs were equal to 1.52 (1.48–1.56) and 1.46 (1.44–1.48) in the 0–5 and 6–13 age groups, respectively. The probability of prescribing antibiotics was significantly (p < 0.001) lower for more-experienced physicians. CONCLUSIONS: Pediatric antibiotic use in the Lazio region is much higher than in other European countries. The intra-regional drug prescribing variability underlines the lack of therapeutic protocols shared at regional level and raises equity issues in access to optimal care. Both LHD managers and individual physicians should be involved in training interventions to improve the targeted use of antibiotics and mitigate the effect of contextual variables, such as the spatial-related socioeconomic status of the patient/parent binomial. |
format | Online Article Text |
id | pubmed-5693576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56935762017-11-24 Prevalence of antibiotic prescription in pediatric outpatients in Italy: the role of local health districts and primary care physicians in determining variation. A multilevel design for healthcare decision support Di Martino, Mirko Lallo, Adele Kirchmayer, Ursula Davoli, Marina Fusco, Danilo BMC Public Health Research Article BACKGROUND: According to scientific literature, antibacterials are prescribed for common pediatric conditions that do not benefit from antibiotic therapy. The link between antibiotic use and bacterial resistance is well known. Antibiotic overprescribing generates high social costs and severe consequences for children. Our objectives were to analyze antibiotic prescription patterns in pediatric outpatients residing in the Lazio region (Italy), to identify physicians’ characteristics associated with increased propensity for prescription, to identify the priority axes for action to improve the rational use of antibiotics. METHODS: We enrolled all children aged 13 years or less in 2014. Antibiotic prescription patterns were analyzed during a one-year follow-up period. The main outcome measures were the antibiotic prescription prevalence, and the geographic variation in antibiotic prescribing. Multilevel models were performed to analyze variation. Variation was expressed as Median Odds Ratios (MORs). If the MOR is 1.00, there is no variation between clusters. If there is considerable between-cluster variation, the MOR will be large. RESULTS: We enrolled 636,911 children. Most of them were aged 6–13 years (57.3%). In 2015, the antibiotic prescription prevalence was 46% in the 0–13, 58% in the 0–5, and 37% in the 6–13 age group. Overall, penicillins were the most prescribed antibiotics, their consumption increased from 43% to 52% during the 2007–2015 period. In 2015, the antibiotic prescription prevalence ranged from 30% to 62% across local health districts (LHDs) of the region. Moreover, a significant (p < 0.001) variation was observed between physicians working in the same LHD: MORs were equal to 1.52 (1.48–1.56) and 1.46 (1.44–1.48) in the 0–5 and 6–13 age groups, respectively. The probability of prescribing antibiotics was significantly (p < 0.001) lower for more-experienced physicians. CONCLUSIONS: Pediatric antibiotic use in the Lazio region is much higher than in other European countries. The intra-regional drug prescribing variability underlines the lack of therapeutic protocols shared at regional level and raises equity issues in access to optimal care. Both LHD managers and individual physicians should be involved in training interventions to improve the targeted use of antibiotics and mitigate the effect of contextual variables, such as the spatial-related socioeconomic status of the patient/parent binomial. BioMed Central 2017-11-17 /pmc/articles/PMC5693576/ /pubmed/29149875 http://dx.doi.org/10.1186/s12889-017-4905-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Di Martino, Mirko Lallo, Adele Kirchmayer, Ursula Davoli, Marina Fusco, Danilo Prevalence of antibiotic prescription in pediatric outpatients in Italy: the role of local health districts and primary care physicians in determining variation. A multilevel design for healthcare decision support |
title | Prevalence of antibiotic prescription in pediatric outpatients in Italy: the role of local health districts and primary care physicians in determining variation. A multilevel design for healthcare decision support |
title_full | Prevalence of antibiotic prescription in pediatric outpatients in Italy: the role of local health districts and primary care physicians in determining variation. A multilevel design for healthcare decision support |
title_fullStr | Prevalence of antibiotic prescription in pediatric outpatients in Italy: the role of local health districts and primary care physicians in determining variation. A multilevel design for healthcare decision support |
title_full_unstemmed | Prevalence of antibiotic prescription in pediatric outpatients in Italy: the role of local health districts and primary care physicians in determining variation. A multilevel design for healthcare decision support |
title_short | Prevalence of antibiotic prescription in pediatric outpatients in Italy: the role of local health districts and primary care physicians in determining variation. A multilevel design for healthcare decision support |
title_sort | prevalence of antibiotic prescription in pediatric outpatients in italy: the role of local health districts and primary care physicians in determining variation. a multilevel design for healthcare decision support |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5693576/ https://www.ncbi.nlm.nih.gov/pubmed/29149875 http://dx.doi.org/10.1186/s12889-017-4905-4 |
work_keys_str_mv | AT dimartinomirko prevalenceofantibioticprescriptioninpediatricoutpatientsinitalytheroleoflocalhealthdistrictsandprimarycarephysiciansindeterminingvariationamultileveldesignforhealthcaredecisionsupport AT lalloadele prevalenceofantibioticprescriptioninpediatricoutpatientsinitalytheroleoflocalhealthdistrictsandprimarycarephysiciansindeterminingvariationamultileveldesignforhealthcaredecisionsupport AT kirchmayerursula prevalenceofantibioticprescriptioninpediatricoutpatientsinitalytheroleoflocalhealthdistrictsandprimarycarephysiciansindeterminingvariationamultileveldesignforhealthcaredecisionsupport AT davolimarina prevalenceofantibioticprescriptioninpediatricoutpatientsinitalytheroleoflocalhealthdistrictsandprimarycarephysiciansindeterminingvariationamultileveldesignforhealthcaredecisionsupport AT fuscodanilo prevalenceofantibioticprescriptioninpediatricoutpatientsinitalytheroleoflocalhealthdistrictsandprimarycarephysiciansindeterminingvariationamultileveldesignforhealthcaredecisionsupport |