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Implementation of a calculator to predict cesarean during labor induction: a qualitative evaluation of the patient perspective.引产期间预测剖宫产计算器的应用:患者视角的质性评价
Am J Obstet Gynecol MFM. 2023 Jun;5(6):100968. doi: 10.1016/j.ajogmf.2023.100968. Epub 2023 Apr 14.
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Standardized Cesarean Risk Counseling with Induction: Impact on Racial Disparities in Birth Satisfaction.标准剖宫产风险咨询与引产:对分娩满意度种族差异的影响。
Am J Perinatol. 2023 Dec;40(16):1834-1840. doi: 10.1055/s-0041-1739468. Epub 2021 Nov 16.

本文引用的文献

1
Maternal Morbidity and Birth Satisfaction After Implementation of a Validated Calculator to Predict Cesarean Delivery During Labor Induction.产妇在分娩诱导期间使用经过验证的剖宫产计算器后的发病率和分娩满意度。
JAMA Netw Open. 2020 Nov 2;3(11):e2025582. doi: 10.1001/jamanetworkopen.2020.25582.
2
Prognostic prediction tools and clinician communication: a qualitative study of the effect of the STUMBL tool on clinical practice.预后预测工具和临床医生沟通:STUMBL 工具对临床实践影响的定性研究。
BMC Emerg Med. 2020 May 11;20(1):36. doi: 10.1186/s12873-020-00331-0.
3
General practitioners' perceptions on the feasibility and acceptability of implementing a risk prediction checklist to support their end-of-life discussions in routine care: a qualitative study.全科医生对在常规护理中实施风险预测清单以支持其临终讨论的可行性和可接受性的看法:一项定性研究。
Fam Pract. 2020 Oct 19;37(5):703-710. doi: 10.1093/fampra/cmaa036.
4
Risk Calculator to Predict Cesarean Delivery Among Women Undergoing Induction of Labor.用于预测行引产的产妇行剖宫产术的风险计算器。
Obstet Gynecol. 2020 Mar;135(3):559-568. doi: 10.1097/AOG.0000000000003696.
5
Prediction of vaginal birth after cesarean deliveries using machine learning.采用机器学习预测剖宫产术后阴道分娩。
Am J Obstet Gynecol. 2020 Jun;222(6):613.e1-613.e12. doi: 10.1016/j.ajog.2019.12.267. Epub 2020 Jan 30.
6
Prediction of emergency cesarean section by measurable maternal and fetal characteristics.通过可测量的母体和胎儿特征预测急诊剖宫产。
J Investig Med. 2020 Mar;68(3):799-806. doi: 10.1136/jim-2019-001175. Epub 2020 Jan 24.
7
Third-trimester prediction of successful vaginal birth after one cesarean delivery-A Swedish model.经剖宫产一次的产妇阴道分娩成功的孕晚期预测——瑞典模型。
Acta Obstet Gynecol Scand. 2020 May;99(5):660-668. doi: 10.1111/aogs.13783. Epub 2019 Dec 23.
8
Scoping implementation science for the beginner: locating yourself on the "subway line" of translational research.初学者的实施科学范围界定:在转化研究的“地铁线路”上定位自己。
BMC Med Res Methodol. 2019 Jun 28;19(1):133. doi: 10.1186/s12874-019-0783-z.
9
A validated calculator to estimate risk of cesarean after an induction of labor with an unfavorable cervix.一种经过验证的计算器,用于估算宫颈条件不佳行引产分娩后行剖宫产的风险。
Am J Obstet Gynecol. 2018 Feb;218(2):254.e1-254.e7. doi: 10.1016/j.ajog.2017.11.603. Epub 2017 Dec 7.
10
Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science.促进卫生服务研究成果在实践中的应用:推进实施科学的综合框架。
Implement Sci. 2009 Aug 7;4:50. doi: 10.1186/1748-5908-4-50.

实施一种计算器来预测产程中引产的剖宫产:对临床医生观点的定性评估。

Implementation of a calculator to predict cesarean delivery during labor induction: a qualitative evaluation of the clinician perspective.

机构信息

Maternal and Child Health Research Center, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA (Drs Hamm and Levine).

Maternal and Child Health Research Center, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA (Drs Hamm and Levine).

出版信息

Am J Obstet Gynecol MFM. 2021 May;3(3):100321. doi: 10.1016/j.ajogmf.2021.100321. Epub 2021 Jan 22.

DOI:10.1016/j.ajogmf.2021.100321
PMID:33493705
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8144058/
Abstract

BACKGROUND

We previously conducted a prospective cohort study (n=1610) demonstrating that the implementation of a validated calculator to predict likelihood of cesarean delivery during labor induction was associated with reduced maternal morbidity, reduced cesarean delivery rate, and improved birth satisfaction.

OBJECTIVE

To optimize future implementation, we used qualitative interviews to understand the clinician perspective on: (1) the cesarean delivery risk calculator implementation and (2) the mechanisms by which the use of the calculator resulted in the observed improved outcomes.

STUDY DESIGN

After completion of the prospective study (June 30, 2019), 20 trainees and attending clinicians (including nurse-midwives, obstetrical physicians, and family medicine physicians) at the study site participated in a single, brief semistructured interview from March 1, 2020, to June 30, 2020. Transcriptions were coded using a systematic approach.

RESULTS

Overall, clinicians had favorable perspectives regarding the cesarean delivery risk calculator. Clinicians described the calculator as offering "objective data" and a "standardized snapshot of the labor trajectory." Concerns were raised regarding "overreliance" on calculator output. Barriers to use included time for patient counseling and "awkwardness" around the interactions and perceived patient misunderstanding of the calculator result. Although most senior clinicians (n=8) reported that the calculator did not impact patient management, trainee clinicians (n=12) more often felt that the calculator influenced care at the extremes of cesarean delivery risk. Furthermore, more senior clinicians felt "neutral" regarding any impact of counseling patients on cesarean delivery risk compared with trainee clinicians, who felt that the counseling "built [patient-clinician] trust."

CONCLUSION

This qualitative evaluation characterized the generally positive clinician perspective around the cesarean delivery risk calculator, while identifying specific facilitators and barriers to implementation. In addition, we elucidated potential mechanisms by which the calculator may have been related to clinician decision making and patient-clinician interactions, leading to reduced maternal morbidity and improved patient birth satisfaction. This information is important as widespread implementation of the cesarean delivery risk calculator begins.

摘要

背景

我们之前进行了一项前瞻性队列研究(n=1610),结果表明,在引产期间实施经过验证的计算器来预测剖宫产的可能性与降低产妇发病率、降低剖宫产率和提高分娩满意度有关。

目的

为了优化未来的实施,我们使用定性访谈来了解临床医生对以下方面的看法:(1)剖宫产风险计算器的实施,以及(2)使用计算器产生观察到的改善结果的机制。

研究设计

在前瞻性研究完成后(2019 年 6 月 30 日),2020 年 3 月 1 日至 2020 年 6 月 30 日,研究现场的 20 名受训者和主治医生(包括助产士、产科医生和家庭医生)参与了一次简短的半结构化访谈。使用系统方法对转录本进行编码。

结果

总的来说,临床医生对剖宫产风险计算器持有利看法。临床医生将计算器描述为提供“客观数据”和“分娩轨迹的标准化快照”。他们对“过度依赖”计算器的输出表示担忧。使用的障碍包括为患者咨询留出时间,以及围绕计算器结果的交互和患者的误解而感到“尴尬”。尽管大多数资深医生(n=8)报告称计算器不会影响患者的管理,但 12 名受训医生(n=12)更常认为计算器会影响剖宫产风险极端情况下的护理。此外,与受训医生相比,更多的资深医生对咨询患者剖宫产风险对任何影响的看法“中立”,而受训医生则认为咨询“建立了(医患)信任”。

结论

这项定性评估描述了临床医生对剖宫产风险计算器的普遍积极看法,同时确定了实施的具体促进因素和障碍。此外,我们阐明了计算器可能与临床医生决策和医患互动相关的潜在机制,从而降低产妇发病率和提高患者分娩满意度。随着剖宫产风险计算器的广泛实施,这些信息非常重要。