<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Boatin AA</submitter><funding>World Health Organization</funding><pagination>36-42</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5763379</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>125(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>In most regions worldwide, caesarean section (CS) rates are increasing. In these settings, new strategies are needed to reduce CS rates.&lt;h4>Objectives&lt;/h4>To identify, critically appraise and synthesise studies using the Robson classification as a system to categorise and analyse data in clinical audit cycles to reduce CS rates.&lt;h4>Search strategy&lt;/h4>Medline, Embase, CINAHL and LILACS were searched from 2001 to 2016.&lt;h4>Selection criteria&lt;/h4>Studies reporting use of the Robson classification to categorise and analyse data in clinical audit cycles to reduce CS rates.&lt;h4>Data collection&lt;/h4>Data on study design, interventions used, CS rates, and perinatal outcomes were extracted.&lt;h4>Results&lt;/h4>Of 385 citations, 30 were assessed for full text review and six studies, cond</pubmed_abstract><journal>BJOG : an international journal of obstetrics and gynaecology</journal><pubmed_title>Audit and feedback using the Robson classification to reduce caesarean section rates: a systematic review.</pubmed_title><pmcid>PMC5763379</pmcid><funding_grant_id>001</funding_grant_id><pubmed_authors>Cullinane F</pubmed_authors><pubmed_authors>Betran AP</pubmed_authors><pubmed_authors>Boatin AA</pubmed_authors><pubmed_authors>Torloni MR</pubmed_authors></additional><is_claimable>false</is_claimable><name>Audit and feedback using the Robson classification to reduce caesarean section rates: a systematic review.</name><description>&lt;h4>Background&lt;/h4>In most regions worldwide, caesarean section (CS) rates are increasing. In these settings, new strategies are needed to reduce CS rates.&lt;h4>Objectives&lt;/h4>To identify, critically appraise and synthesise studies using the Robson classification as a system to categorise and analyse data in clinical audit cycles to reduce CS rates.&lt;h4>Search strategy&lt;/h4>Medline, Embase, CINAHL and LILACS were searched from 2001 to 2016.&lt;h4>Selection criteria&lt;/h4>Studies reporting use of the Robson classification to categorise and analyse data in clinical audit cycles to reduce CS rates.&lt;h4>Data collection&lt;/h4>Data on study design, interventions used, CS rates, and perinatal outcomes were extracted.&lt;h4>Results&lt;/h4>Of 385 citations, 30 were assessed for full text review and six studies, cond</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Jan</publication><modification>2026-07-15T15:02:17.597Z</modification><creation>2019-03-27T00:14:50Z</creation></dates><accession>S-EPMC5763379</accession><cross_references><pubmed>28602031</pubmed><doi>10.1111/1471-0528.14774</doi></cross_references></HashMap>