Evidence map›Paper›PMID 31270433›Full record

Observational studyJournal of perinatology : official journal of the California Perinatal Association2019

The association of patient preferences and attitudes with trial of labor after cesarean.

Anjali J Kaimal, William A Grobman, Allison Bryant, Cinthia Blat, Peter Bacchetti, Juan Gonzalez, Mari-Paule Thiet, Yamilee Bermingham, Miriam Kuppermann

Erratum issuedAbstract readObservational Study
In one paragraph

Observational study in Journal of perinatology : official journal of the California Perinatal Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
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  5. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Anjali J KaimalDepartment of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA. akaimal@partners.org.
William A GrobmanDepartment of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Allison BryantDepartment of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.
Cinthia BlatDepartment of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.
Peter BacchettiDepartment of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Juan GonzalezDepartment of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.
Mari-Paule ThietDepartment of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.
Yamilee BerminghamMarin Community Clinic, San Rafael, CA, USA.
Miriam KuppermannDepartments of Obstetrics, Gynecology & Reproductive Sciences and Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.

Funding

Effect of a patient-centered decision app on TOLAC: An RCTR01HD078748 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KUPPERMANN, MIRIAM · 2014 to 2018
$3.2M
NICHD NIH HHS R01 HD078748
6 · The paper itself

Abstract

objectiveTo evaluate the association of patient preferences and attitudes with TOLAC. STUDY

designProspective observational study of TOLAC-eligible women at 26-34 weeks gestation. Preferences (utilities) were elicited using the time trade-off and standard gamble metrics. Logistic regression was used to identify preference- and attitude-based factors associated with TOLAC.

resultsOf the 231 participants, most (n = 197, 85%) preferred vaginal delivery, but only 40% (n = 93) underwent TOLAC. Utilities for uterine rupture outcomes did not differ based on delivery approach. In multivariable analysis, strength of preference for vaginal delivery, value for the experience of labor, and the opinion of the person whom the participant thought of as most important to this decision were associated with TOLAC.

conclusionsFuture decision support interventions incorporating individualized information regarding the likelihood of vaginal birth and empowering patients to express their preferences and engage their families in the decision-making process may improve decision quality and increase TOLAC rates.

Indexed as

Attitude to HealthPatient PreferenceTrial of LaborVaginal Birth after CesareanAdultDecision MakingDecision Support TechniquesFemaleHumansLogistic ModelsMultivariate AnalysisPregnancyProspective StudiesSocioeconomic Factors

Identifiers

PMID31270433
PMCPMC8593844

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.