{"title":"Response to \"The Enduring Association of a First Pregnancy Abortion With Subsequent Pregnancy Outcomes: A Longitudinal Cohort Study\".","authors":"Monica Cations, Judith Dwyer","doi":"10.1177/23333928231171122","DOIUrl":null,"url":null,"abstract":"To the Editor, In their recent publication, Studnicki et al examine the association between abortion of a first pregnancy and subsequent pregnancy outcomes among 5453 women receiving Medicaid benefits in seven United States. They conclude that women whose first pregnancy ends with abortion are more likely to end subsequent pregnancies with abortion, and that their health suffers as a result. Here we describe several methodological limitations that, in our view, introduce bias to the research and limit the conclusions that can be drawn from the results. A key conclusion made by Studnicki et al is that “subsequent natural losses among women who had a first-pregnancy abortion were 1.53 times more common than among women whose first pregnancy ended in a live birth and 1.72 times more likely than women whose first pregnancy ended in a natural loss” (p. 3). However, the authors provide no evidence of testing the statistical significance of this difference between groups. The authors note that women who ended their first pregnancy with abortion recorded more pregnancies overall, but again do not assess the statistical significance of this difference or control for this when comparing on natural loss outcomes. These differences may be due to chance. Where statistical comparisons are conducted, major sources of bias are introduced by the omission of essential sociodemographic covariate factors in modelling. There is consistent evidence that sociodemographic factors including race and socio-economic status are associated with pregnancy outcomes. The role of personal views about abortion is also not considered. That a woman who has chosen to end their first pregnancy is more likely to choose to end subsequent pregnancies can be explained by personal attitudes toward pregnancy and childbirth, fertility, domestic violence, lack of social support, racial discrimination, financial limitations, and many other factors. That these were not accounted for in statistical modelling limits the ability to conclude that abortion alone can predict later outcomes. Statistical corrections are also not applied to address the bias introduced by multiple comparisons. In their reporting of the results of logistical regression modelling (Table 2, p. 4), it is unclear which comparator group is used to compare outcomes for those who ended their first pregnancy with abortion. If only women whose first pregnancy ended in birth are used as a comparator group, this may mask factors other than abortion that can explain the observed differences. Alternatively, if the natural loss and birth groups were combined as a comparator group, this combines two groups with important differences and is not consistent with the stated aims of this study (p. 2). Indeed, data about the group of women whose first pregnancy ended in natural loss is not presented in Table 3 about number of subsequent pregnancies. These data would have provided important contextual information about how those whose first pregnancy did not end in birth do or do not differ. The insurance claim codes used to allocate participants into the “abortion” group contain a breadth of abortions including those occurring late in pregnancy. Late-term abortions are usually conducted where a medical or genetic condition threatens the life of the baby or the mother, and this may have implications for a woman’s later pregnancies. Grouping of these codes reduces the ability to draw nuanced conclusions from the results.","PeriodicalId":12951,"journal":{"name":"Health Services Research and Managerial Epidemiology","volume":"10 ","pages":"23333928231171122"},"PeriodicalIF":1.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/28/dd/10.1177_23333928231171122.PMC10170587.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Services Research and Managerial Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23333928231171122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
To the Editor, In their recent publication, Studnicki et al examine the association between abortion of a first pregnancy and subsequent pregnancy outcomes among 5453 women receiving Medicaid benefits in seven United States. They conclude that women whose first pregnancy ends with abortion are more likely to end subsequent pregnancies with abortion, and that their health suffers as a result. Here we describe several methodological limitations that, in our view, introduce bias to the research and limit the conclusions that can be drawn from the results. A key conclusion made by Studnicki et al is that “subsequent natural losses among women who had a first-pregnancy abortion were 1.53 times more common than among women whose first pregnancy ended in a live birth and 1.72 times more likely than women whose first pregnancy ended in a natural loss” (p. 3). However, the authors provide no evidence of testing the statistical significance of this difference between groups. The authors note that women who ended their first pregnancy with abortion recorded more pregnancies overall, but again do not assess the statistical significance of this difference or control for this when comparing on natural loss outcomes. These differences may be due to chance. Where statistical comparisons are conducted, major sources of bias are introduced by the omission of essential sociodemographic covariate factors in modelling. There is consistent evidence that sociodemographic factors including race and socio-economic status are associated with pregnancy outcomes. The role of personal views about abortion is also not considered. That a woman who has chosen to end their first pregnancy is more likely to choose to end subsequent pregnancies can be explained by personal attitudes toward pregnancy and childbirth, fertility, domestic violence, lack of social support, racial discrimination, financial limitations, and many other factors. That these were not accounted for in statistical modelling limits the ability to conclude that abortion alone can predict later outcomes. Statistical corrections are also not applied to address the bias introduced by multiple comparisons. In their reporting of the results of logistical regression modelling (Table 2, p. 4), it is unclear which comparator group is used to compare outcomes for those who ended their first pregnancy with abortion. If only women whose first pregnancy ended in birth are used as a comparator group, this may mask factors other than abortion that can explain the observed differences. Alternatively, if the natural loss and birth groups were combined as a comparator group, this combines two groups with important differences and is not consistent with the stated aims of this study (p. 2). Indeed, data about the group of women whose first pregnancy ended in natural loss is not presented in Table 3 about number of subsequent pregnancies. These data would have provided important contextual information about how those whose first pregnancy did not end in birth do or do not differ. The insurance claim codes used to allocate participants into the “abortion” group contain a breadth of abortions including those occurring late in pregnancy. Late-term abortions are usually conducted where a medical or genetic condition threatens the life of the baby or the mother, and this may have implications for a woman’s later pregnancies. Grouping of these codes reduces the ability to draw nuanced conclusions from the results.