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Erschienen in: Maternal and Child Health Journal 1/2016

25.08.2016

Predictors of Non-Attendance to the Postpartum Follow-up Visit

verfasst von: Annemieke Wilcox, Erika E. Levi, Joanne M. Garrett

Erschienen in: Maternal and Child Health Journal | Sonderheft 1/2016

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Abstract

Objectives This study aimed to measure the incidence and identify predictors of postpartum visit non-attendance, using medical records of women who received prenatal care and went on to deliver live births at Montefiore Hospital in 2013. Methods Pearson’s Chi square tests were used to assess the association between maternal demographics, insurance status, and delivery information with non-attendance of a postpartum visit. Logistic regression and modified Poisson regression models were then used to identify statistically significant predictors of postpartum visit non-attendance. Results We found that one-third of all women who attended a prenatal visit at Montefiore Hospital did not return for a postpartum visit. Variables significantly associated with non-attendance include having Medicaid or no insurance (RR 1.4, 95 % CI 1.2–1.6), being Hispanic or Latino (RR 1.2, 95 % CI 1.1–1.3), having a vaginal delivery (RR 1.2, 95 % CI 1.1–1.4), and age <20 years (RR 0.77, 95 % CI 0.64–0.92). Conclusions for Practice We conclude that the risk of postpartum visit non-attendance disproportionately impacts socially and economically vulnerable patients who are: younger, part of a minority ethnic background, and depend on state funded health insurance. Our results highlight the disparity in access to postpartum care and the importance of identifying barriers to attendance as well as developing creative strategies of providing postpartum care outside of the traditional postpartum visit framework.
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Metadaten
Titel
Predictors of Non-Attendance to the Postpartum Follow-up Visit
verfasst von
Annemieke Wilcox
Erika E. Levi
Joanne M. Garrett
Publikationsdatum
25.08.2016
Verlag
Springer US
Erschienen in
Maternal and Child Health Journal / Ausgabe Sonderheft 1/2016
Print ISSN: 1092-7875
Elektronische ISSN: 1573-6628
DOI
https://doi.org/10.1007/s10995-016-2184-9

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