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. 2022 Jun 2;22:464. doi: 10.1186/s12884-022-04777-x

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 5 — Interrupted time-series analysis of use of antiemetics while hospitalized for hyperemesis gravidarum 2002–2019. Percentage admitted to Haukeland University Hospital using (a) metoclopramide, (b) prochlorperazine, and (c) any antiemetic while hospitalized. Predicted line visualizes linear trend pre-intervention in 2014 with slope corresponding to yearly change (β₁); vertical line illustrating level change in 2014 at the time of treatment guideline update (β₂); predicted line after 2014 representing post-intervention trend (β₁ + β₃) applying Newey-West standard errors to adjust for first order autocorrelation