A Segmented Logistic Regression Approach to Evaluating Change in Caesarean Section Rate with Reform of Birth Planning Policy in Two Regions in China from 2012 to 2016

Lili Kang1 Center for Health Policy and Management Studies, Nanjing University, Nanjing, Jiangsu, People’s Republic of China;2 School of Health Management, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People’s Republic of China

Shangyuan Ye3 Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA

https://orcid.org/0000-0002-7504-8215

Kangzhen Jing4 Department of Medical Affair, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, People’s Republic of China

Yancun Fan2 School of Health Management, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People’s Republic of China

Qihui Chen5 Center for Food and Health Economic Research, College of Economics and Management, China Agricultural University, Beijing, People’s Republic of China

https://orcid.org/0000-0002-0944-0470

Ning Zhang6 Department of Health Policy and Management, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA;7 Meyers Primary Care Institute, A Joint Endeavor of University of Massachusetts Medical School, Reliant Medical Group, and Fallon Health, Worcester, MA, USA

Bo Zhang8 Department of Neurology and ICCTR Biostatistics and Research Design Center, Boston Children’s Hospital and Harvard Medical School, Boston, MA, USACorrespondence[email protected] [email protected]

https://orcid.org/0000-0003-1574-198X

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Figures & data

Table 1 Numbers (Percentages in Parentheses) of Subjects by Delivery Mode and Other Characteristics in Full Sample and in Jiangsu and Inner Mongolia

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Figure 1 Scatterplots of monthly caesarean section rates in Jiangsu and Inner Mongolia between 2012 and 2016 by month. Solid curves are segmented locally estimated scatterplot smoothing (LOESS) curves; dashed vertical lines denote the time points at which the partial and universal two-child policies were launched.

Table 2 Estimates of the Coefficients (95% Confidence Intervals) in Segmented Logistic Regression Models on Caesarean Section Rate with and Without Covariate Adjustment for Jiangsu and Inner Mongolia, Respectively, for Detecting Changes Following the Launch of China’s Two-Child Policies

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Table 3 Differences in the Initial Phase and in Level and Trend Changes in Log Odds of Caesarean Section (95% Confidence Intervals) Between Inner Mongolia (Reference) and Jiangsu with and Without Covariate Adjustment

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Table 4 Odds Ratios of Caesarean Section (95% Confidence Intervals) Given by Other Covariates in Jiangsu and Inner Mongolia and in Their Comparison

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A Segmented Logistic Regression Approach to Evaluating Change in Caesarean Section Rate with Reform of Birth Planning Policy in Two Regions in China from 2012 to 2016

Table 1 Numbers (Percentages in Parentheses) of Subjects by Delivery Mode and Other Characteristics in Full Sample and in Jiangsu and Inner Mongolia

Table 2 Estimates of the Coefficients (95% Confidence Intervals) in Segmented Logistic Regression Models on Caesarean Section Rate with and Without Covariate Adjustment for Jiangsu and Inner Mongolia, Respectively, for Detecting Changes Following the Launch of China’s Two-Child Policies

Table 3 Differences in the Initial Phase and in Level and Trend Changes in Log Odds of Caesarean Section (95% Confidence Intervals) Between Inner Mongolia (Reference) and Jiangsu with and Without Covariate Adjustment

Table 4 Odds Ratios of Caesarean Section (95% Confidence Intervals) Given by Other Covariates in Jiangsu and Inner Mongolia and in Their Comparison

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A Segmented Logistic Regression Approach to Evaluating Change in Caesarean Section Rate with Reform of Birth Planning Policy in Two Regions in China from 2012 to 2016

Figures & data

Table 1 Numbers (Percentages in Parentheses) of Subjects by Delivery Mode and Other Characteristics in Full Sample and in Jiangsu and Inner Mongolia

Table 2 Estimates of the Coefficients (95% Confidence Intervals) in Segmented Logistic Regression Models on Caesarean Section Rate with and Without Covariate Adjustment for Jiangsu and Inner Mongolia, Respectively, for Detecting Changes Following the Launch of China’s Two-Child Policies

Table 3 Differences in the Initial Phase and in Level and Trend Changes in Log Odds of Caesarean Section (95% Confidence Intervals) Between Inner Mongolia (Reference) and Jiangsu with and Without Covariate Adjustment

Table 4 Odds Ratios of Caesarean Section (95% Confidence Intervals) Given by Other Covariates in Jiangsu and Inner Mongolia and in Their Comparison

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