Evidence map›Paper›PMID 34800340›Full record

ArticleThe International journal of health planning and management2022

Estimating variations in the use of antibiotics in primary care: Insights from the Tuscany region, Italy.

Claire Willmington, Milena Vainieri, Chiara Seghieri

Abstract read
In one paragraph

Article in The International journal of health planning and management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Global & regional health technology assessment
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4 · The record

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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

3 authors.

Claire WillmingtonLaboratorio Management e Sanità, Institute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID https://orcid.org/0000-0001-6610-7634
Milena VainieriLaboratorio Management e Sanità, Institute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID https://orcid.org/0000-0002-0914-4487
Chiara SeghieriLaboratorio Management e Sanità, Institute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.

Funding

Blended DEAL: CAREH2020 Marie Skłodowska-Curie Actions 765141Scuola Superiore Sant'AnnaWOA Institution: Scuola Superiore Sant'Anna
6 · The paper itself

Abstract

backgroundPractice variation is a well-known phenomenon that affects all aspects of healthcare delivery and leads to suboptimal health outcomes as well as poor resource allocation. Given the global rise of antimicrobial resistance, practice variation is of particular concern when it comes to the prescription of antibiotics. A growing number of healthcare systems are tackling this issue at all levels of healthcare governance. AIMS AND

objectivesThis study sought to estimate the variation in antibiotic use across different levels of Tuscany's primary care, and assess the extent to which the organization of primary care delivery is responsible for this variation.

methodsWe analysed the performance and variation for seven indicators related to the use of antibiotics at three levels of healthcare governance: (i) the clinician level (2619 general practitioners [GPs]); (ii) the peer-group level (all 116 GP group practices) and (iii) the institutional level (all 26 health districts). For the statistical analysis, we built three-level mixed effects models that were fitted with 2619 GPs, 116 GP group practices and 26 health districts.

resultsThe multi-level models suggested that the grand majority of the variation in antibiotic use was located at the GP level (75% to 97%). However, the percentage of variation associated with GP group practices and health districts ranged from 3% to 25%, depending on the type of indicator analysed.

conclusionWhile the variation was found to be in large part due to differences between GPs themselves, the influence exerted by peer groups and institutional mechanisms does have a significant impact as well. Further research needs to be conducted regarding the institutional and contextual factors that prompt GPs to harmonize their prescribing behaviour in line with best practices and lead to not only improved patient outcomes but also large cost-savings.

Indexed as

Anti-Bacterial AgentsGeneral PractitionersHumansItalyPrimary Health CareAnti-Bacterial Agentsantibioticsantibiotic useperformance evaluation systempractice variation

Identifiers

PMID34800340
PMCPMC9299633

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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.