Effect of a Patient-Centered Decision Support Tool on Rates of Trial of Labor After Previous Cesarean Delivery | Zendy

Miriam Kuppermann | Zendy; Anjali J Kaimal | Zendy; Cinthia Blat | Zendy; Juan M. González | Zendy; Mari-Paule Thiet | Zendy; Yamilee Bermingham | Zendy; Anna Altshuler | Zendy; Allison Bryant | Zendy; Peter Bacchetti | Zendy; William A. Grobman | Zendy

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Effect of a Patient-Centered Decision Support Tool on Rates of Trial of Labor After Previous Cesarean Delivery

Author(s) -

Miriam Kuppermann,

Anjali J Kaimal,

Cinthia Blat,

Juan M. González,

Mari-Paule Thiet,

Yamilee Bermingham,

Anna Altshuler,

Allison Bryant,

Peter Bacchetti,

William A. Grobman

Publication year - 2020

Publication title -

jama

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 4.688

H-Index - 680

eISSN - 1538-3598

pISSN - 0098-7484

DOI - 10.1001/jama.2020.5952

Subject(s) - medicine , contraindication , randomized controlled trial , obstetrics , psychological intervention , randomization , gestation , live birth , pregnancy , pediatrics , surgery , nursing , alternative medicine , pathology , biology , genetics

Reducing cesarean delivery rates in the US is an important public health goal; despite evidence of the safety of vaginal birth after cesarean delivery, most women have scheduled repeat cesarean deliveries. A decision support tool could help increase trial-of-labor rates.

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