Trial reportJAMA2020
Effect of a Patient-Centered Decision Support Tool on Rates of Trial of Labor After Previous Cesarean Delivery: The PROCEED Randomized Clinical Trial.
Trial report in JAMA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02646423 (Effect of a Patient-Centered Decision App on TOLAC), which is not on this map. Cited by 16 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
Effect of a Patient-Centered Decision App on TOLAC: An RCT
Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Effects of patient decision aids used pre-consult or in-consult on patient-clinician communication - secondary analysis of a systematic review with meta-analysis.BMC medical informatics and decision making · 2025Pooled it
- Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024Pooled it
- The effectiveness of decision aids for pregnancy related decision-making in women with pre-pregnancy morbidity; systematic review and meta-analysis.BMC pregnancy and childbirth · 2022Pooled it
- Impact of health literacy and primary language on the decision to pursue trial of labor after prior cesarean delivery.BMC pregnancy and childbirth · 2025Trial
- Effect of shared decision making on mode of delivery and decisional conflict and regret in pregnant women with previous cesarean section: a randomized clinical trial.BMC pregnancy and childbirth · 2021Trial
- Integrated Digital Decision-Making Systems in Maternal Nursing and Maternity Care: A Scoping Review.Journal of multidisciplinary healthcare · 2026Review
- Success rate and obstetric outcomes of trial of labor after cesarean delivery-Decision-tree analysis.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025Article
- Article
- Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making.NPJ digital medicine · 2024Article
- Clinical decision support systems for maternity care: a systematic review and meta-analysis.EClinicalMedicine · 2024Article
- Does Obesity Influence Women's Decision Making about the Mode of Delivery?Journal of clinical medicine · 2022Article
- Factors associated with labor after cesarean in a prospective cohort.Birth (Berkeley, Calif.) · 2022Article
- Patient decision aid for trial of labor after cesarean (TOLAC) versus planned repeat cesarean delivery: a quasi-experimental pre-post study.BMC pregnancy and childbirth · 2021Article
- A Decade of Wishes-Changes in Maternal Preference of the Mode of Delivery among Polish Women over the Last Decade.Medicina (Kaunas, Lithuania) · 2021Article
- Improving Surgical Informed Consent: Unanswered Questions.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2021Review
- Article
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Authors and funding
10 authors.
Funding
Abstract
Importance: 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. Objective: To analyze the effect of a patient-centered decision support tool on rates of trial of labor and vaginal birth after cesarean delivery and decision quality. Design, Setting, and Participants: Multicenter, randomized, parallel-group clinical trial conducted in Boston, Chicago, and the San Francisco Bay area. A total of 1485 English- or Spanish-speaking women with 1 prior cesarean delivery and no contraindication to trial of labor were enrolled between January 2016 and January 2019; follow-up was completed in June 2019. Interventions: Participants were randomized to use a tablet-based decision support tool prior to 25 weeks' gestation (n=742) or to receive usual care (without the tool) (n=743). Main Outcomes and Measures: The primary outcome was trial of labor; vaginal birth was the main secondary outcome. Other secondary outcomes focused on maternal and neonatal outcomes and decision quality. Results: Among 1485 patients (mean age, 34.0 [SD, 4.5] years), 1470 (99.0%) completed the trial (n = 735 in both randomization groups) and were included in the analysis. Trial-of-labor rates did not differ significantly between intervention and control groups (43.3% vs 46.2%, respectively; adjusted absolute risk difference, -2.78% [95% CI, -7.80% to 2.25%]; adjusted relative risk, 0.94 [95% CI, 0.84-1.05]). There were no statistically significant differences in vaginal birth rates (31.8% in both groups; adjusted absolute risk difference, -0.04% [95% CI, -4.80% to 4.71%]; adjusted relative risk, 1.00 [95% CI, 0.86-1.16]) or in any of the other 6 clinical maternal and neonatal secondary outcomes. There also were no significant differences between the intervention and control groups in the 5 decision quality measures (eg, mean decisional conflict scores were 17.2 and 17.5, respectively; adjusted mean difference, -0.38 [95% CI, -1.81 to 1.05]; scores >25 are considered clinically important). Conclusions and Relevance: Among women with 1 previous cesarean delivery, use of a decision support tool compared with usual care did not significantly change the rate of trial of labor. Further research may be needed to assess the efficacy of this tool in other clinical settings or when implemented at other times in pregnancy.
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Registered trials
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.