Unproven Technologies in Maternal-Fetal Medicine and the High Cost of US Health Care

Clinical algorithms for management of fetal heart rate abnormalities during labour

OBJECTIVE

To construct algorithms with a sequential decision analysis pathway for monitoring of the fetal heart rate and managing fetal heart rate bradycardia, late decelerations and tachycardia during labour.

POPULATION

Low-risk pregnant women in labour with singleton cephalic term pregnancies.

SETTING

Institutional births in low- and middle-income countries.

SEARCH STRATEGY

We sought relevant published clinical algorithms, guidelines and randomised trials/reviews by searching the Cochrane Library, PubMed and Google on the terms: "fetal AND heart AND rate AND algorithm AND (labour OR intrapartum)", up to March 2020.

CASE SCENARIOS

The two scenarios included were fetal heart rate bradycardia or late decelerations (potentially related to uterine rupture, placental abruption, cord prolapse, maternal hypotension, uterine hyperstimulation or unexplained) and fetal heart rate tachycardia (potentially related to maternal hyperthermia, infection, dehydration or unexplained). The algorithms provide pathways for definition, assessment, diagnosis, interventions to correct the abnormalities and ongoing monitoring leading to mode of birth, and linking to other algorithms in the series.

CONCLUSIONS

The algorithms provide a framework for monitoring and managing fetal heart rate bradycardia, late decelerations and tachycardia during labour. We emphasise the inherent diagnostic inaccuracy of fetal heart rate monitoring, the tendency to over-diagnose fetal compromise, the need to consider fetal heart rate information in the context of other clinical features and the need to engage in informed, shared, family-centred decision-making. We note the need for further research on methods of fetal assessment during labour including clinical fetal arousal testing and the rapid biophysical profile test.

TWEETABLE ABSTRACT

Decision analysis algorithms for fetal bradycardia, late decelerations and tachycardia highlight diagnostic limitations.

What drives change in neonatal intensive care units? A qualitative study with physicians and nurses in six European countries

BACKGROUND

Innovation is important to improve patient care, but few studies have explored the factors that initiate change in healthcare organizations.

METHODS

As part of the European project EPICE on evidence-based perinatal care, we carried out semi-structured interviews (N = 44) with medical and nursing staff from 11 randomly selected neonatal intensive care units in 6 countries. The interviews focused on the most recent clinical or organizational change in the unit relevant to the care of very preterm infants. Thematic analysis was performed using verbatim transcripts of recorded interviews.

RESULTS

Reported changes concerned ventilation, feeding and nutrition, neonatal sepsis, infant care, pain management and care of parents. Six categories of drivers to change were identified: availability of new knowledge or technology; guidelines or regulations from outside the unit; need to standardize practices; participation in research; occurrence of adverse events; and wish to improve care. Innovations originating within the unit, linked to the availability of new technology and seen to provide clear benefit for patients were more likely to achieve consensus and rapid implementation.

CONCLUSIONS

Innovation can be initiated by several drivers that can impact on the success and sustainability of change.

Effectiveness and Accuracy of Tests for Preterm Delivery in Symptomatic Women: A Systematic Review

This study systematically reviewed evidence on the effectiveness and accuracy of predictive tests for preterm delivery among symptomatic women. The study included English-language systematic reviews (SRs) on any predictive test for preterm delivery among symptomatic women and primary studies for placental alpha-microglobulin-1. PubMed, Wiley Cochrane Library, the Centre for Reviews and Dissemination Database, the National Guidelines Clearinghouse, and the TRIP database were searched for SRs, PubMed and PubMed Central via the Wiley Cochrane Library were searched for primary studies. One reviewer performed study selection, with input from a second reviewer when needed. One reviewer appraised study quality and extracted: study characteristics (i.e., country, funding source, study design [primary studies] or synthesis method [SRs], study appraisal method [SRs]), population characteristics, index test(s) and cut-off points used, comparator(s) or reference standard(s), and outcomes. A second reviewed a random 10% sample. The authors synthesized the findings narratively. Of 451 unique records, the review included 22 (17 SRs, five primary studies). For effectiveness, there was evidence for use of transvaginal sonographic cervical length assessment (15-25 mm cut point) in reducing incidence of preterm delivery at <37 weeks (relative risk 0.64; 95% CI 0.44-0.94, one SR of three trials; n = 287) but lack of support for cervicovaginal fetal fibronectin. In terms of accuracy, one high-quality study within a best-evidence SR showed that cervical length measurement was useful to predict delivery within 48 hours (LR+ 6.43, 95% CI 5.17-8.00; LR- 0.03, 95% CI 0.00-0.42; n = 510) and 7 days (LR+ 8.61, 95% CI 6.65-11.14; LR- 0.03, 95% CI 0.00-0.18; n = 510). Accuracy of placental alpha-microglobulin-1 testing was not supported for most end points. In conclusion, some evidence supports the effectiveness of cervical length as a predictor of preterm delivery in symptomatic women. Evidence for most tests is limited in quality and quantity.