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Let's talk early labour: The L-TEL randomised controlled trial
Rebecca Edwards1, Susan Way2, Vanora A Hundley2
1Frimley Park Hospital, Portsmouth Road, Surrey GU16 7UJ, UK; Centre for Midwifery & Women's Health, Bournemouth University, Bournemouth Gateway Building, St Paul's Lane, Bournemouth BH8 8GP, UK.
Background:
Women without complications have lower obstetric intervention if they remain at home in early labour but many women report dissatisfaction in doing this. Using self-efficacy theory as an underpinning framework, a web-based intervention was co-created with women who had previously used maternity services. The intervention provides early labour advice, alongside the videoed, real experiences of women.
Method:
The pragmatic, randomised control trial aimed to evaluate the impact of the web-based intervention on women's self-reported experiences of early labour. Low-risk, nulliparous, pregnant women (140) were randomised. The intervention group (69) received the web-based intervention antenatally to use at their own convenience and the control group (71) received usual care. Data were collected at 7-28 days postnatally using an online version of the Early Labour Experience Questionnaire (ELEQ). The primary outcome was the ELEQ score. Secondary, clinical outcomes such as labour onset, augmentation and mode of birth were collected from the existing hospital system.
Results:
There were no statistically significant differences in the ELEQ scores between trial arms. Women in the intervention group were significantly more likely to progress spontaneously in labour without the need for labour augmentation (39.1 %) compared to the control group (21.1 %) (OR 2.41, CI 95 %; 1.14-5.11).
Conclusion:
Although the L-TEL Trial found no statistically significant differences in the primary outcome, the innovative intervention to support women during latent phase labour was positively received by women. Web-based resources are a cost effective, user-friendly and accessible way to provide women with education. A larger trial is needed to detect differences in clinical outcomes.

