2018
DOI: 10.1016/j.ajog.2018.04.012
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Cesarean delivery in the United States 2005 through 2014: a population-based analysis using the Robson 10-Group Classification System

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Cited by 105 publications
(113 citation statements)
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“…Lastly, groups 8 (multiple pregnancies) and 10 (premature births) have an expected contribution of the general CS rate similar to that reported by Robson and other authors [4,11,23,31,33,34].…”
Section: Discussionsupporting
confidence: 87%
“…Lastly, groups 8 (multiple pregnancies) and 10 (premature births) have an expected contribution of the general CS rate similar to that reported by Robson and other authors [4,11,23,31,33,34].…”
Section: Discussionsupporting
confidence: 87%
“…Consequently, pre‐labour caesarean cases may have been overestimated. As we combined pre‐labour caesareans and induced labour cases, the rates of caesareans in our Robson groups 2 and 4 would have been overestimated, and the rates are not comparable to the study that re‐classified groups 2 and 4 based on pre‐labour caesarean and induced labour . Additionally, women with previous caesareans in our dataset do not reflect all previous caesareans that occurred in the USA because if women with previous caesareans had not delivered their another live‐born infant during the study period, they would not be included in this dataset; thus, underestimating the previous caesarean rate.…”
Section: Commentmentioning
confidence: 91%
“…As we combined pre-labour caesareans and induced labour cases, the rates of caesareans in our Robson groups 2 and 4 would have been overestimated, and the rates are not comparable to the study that re-classified groups 2 and 4 based on pre-labour caesarean and induced labour. 35 Additionally, women with previous caesareans in our dataset do not reflect all previous caesareans that occurred in the USA because if women with previous caesareans had not delivered their another live-born infant during the study period, they would not be included in this dataset; thus, underestimating the previous caesarean rate. Woman's geographical residence factors (types and number of hospitals, density and types of health care providers) may partly explain the observed socio-economic variation in caesarean; 15,17,36 however, this study was unable to analyse this due to unavailability of data.…”
Section: Limitations Of the Studymentioning
confidence: 99%
“…Future research into the drivers of CD disparities among border Hispanics will have to include state of residence and other contextual factors. Future research might also employ a more detailed, non-overlapping classification of CDs [31] to shed further light on the discrepancies in CD rates shown here. Reducing border CD rates will require additional interventions that address the causal factors operating in this region.…”
Section: Discussionmentioning
confidence: 99%