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比较剖宫产率是否会影响妇女选择产科医院?

Does comparing cesarean delivery rates influence women's choice of obstetric hospital?

机构信息

Department of Health Care Policy, Harvard Medical School, 180 Longwood Ave, Boston, MA 02115. Email:

出版信息

Am J Manag Care. 2019 Feb 1;25(2):e33-e38.

Abstract

OBJECTIVES

Despite public reporting of wide variation in hospital cesarean delivery rates, few women access this information when deciding where to deliver. We hypothesized that making cesarean delivery rate data more easily accessible and understandable would increase the likelihood of women selecting a hospital with a low cesarean delivery rate.

STUDY DESIGN

We conducted a randomized controlled trial of 18,293 users of the Ovia Health mobile apps in 2016-2017. All enrollees were given an explanation of cesarean delivery rate data, and those randomized to the intervention group were also given an interactive tool that presented those data for the 10 closest hospitals with obstetric services. Our outcome measures were enrollees' self-reported delivery hospital and views on cesarean delivery rates.

METHODS

Intent-to-treat analysis using 2-sided Pearson's χ2 tests.

RESULTS

There was no significant difference across the experimental groups in the proportion of women who selected hospitals with low cesarean delivery rates (7.0% control vs 6.8% intervention; P = .54). Women in the intervention group were more likely to believe that hospitals in their community had differing cesarean delivery rates (66.9% vs 55.9%; P <.001) and to report that they looked at cesarean delivery rates when choosing their hospital (44.5% vs 33.9%; P <.001).

CONCLUSIONS

Providing women with an interactive tool to compare cesarean delivery rates across hospitals in their community improved women's familiarity with variation in cesarean delivery rates but did not increase their likelihood of selecting hospitals with lower rates.

摘要

目的

尽管公众报告了医院剖宫产率的广泛差异,但在决定分娩地点时,很少有女性会获取这些信息。我们假设,使剖宫产率数据更容易获取和理解将增加女性选择剖宫产率较低的医院的可能性。

研究设计

我们在 2016-2017 年对 18293 名 Ovia Health 移动应用程序的用户进行了一项随机对照试验。所有参与者都获得了关于剖宫产率数据的解释,而随机分配到干预组的参与者还获得了一个互动工具,该工具为 10 家最近的妇产科医院提供了这些数据。我们的结局指标是参与者自我报告的分娩医院和对剖宫产率的看法。

方法

使用双边 Pearson χ2 检验进行意向治疗分析。

结果

在选择低剖宫产率医院的女性比例方面,实验组之间没有显著差异(7.0%对照组与 6.8%干预组;P =.54)。干预组的女性更有可能认为她们所在社区的医院有不同的剖宫产率(66.9%比 55.9%;P <.001),并报告在选择医院时查看了剖宫产率(44.5%比 33.9%;P <.001)。

结论

为女性提供一个互动工具来比较社区内医院的剖宫产率,可以提高女性对剖宫产率差异的熟悉程度,但并不能增加她们选择低剖宫产率医院的可能性。

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Safe prevention of the primary cesarean delivery.安全预防初次剖宫产。
Am J Obstet Gynecol. 2014 Mar;210(3):179-93. doi: 10.1016/j.ajog.2014.01.026.
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Postpartum maternal mortality and cesarean delivery.产后孕产妇死亡率与剖宫产
Obstet Gynecol. 2006 Sep;108(3 Pt 1):541-8. doi: 10.1097/01.AOG.0000233154.62729.24.

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