Trial reportBMJ open2016
Supporting breastfeeding In Local Communities (SILC) in Victoria, Australia: a cluster randomised controlled trial.
Trial report in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 5 of them syntheses that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Pooled it
- Support for healthy breastfeeding mothers with healthy term babies.The Cochrane database of systematic reviews · 2022Pooled it
- The effect of home-based intervention with professional support on promoting breastfeeding: a systematic review.International journal of public health · 2019Pooled it
- Counselling interventions to enable women to initiate and continue breastfeeding: a systematic review and meta-analysis.International breastfeeding journal · 2019Pooled it
- Support for healthy breastfeeding mothers with healthy term babies.The Cochrane database of systematic reviews · 2017Pooled it
- Breastfeeding Support in the Early Postpartum: Content of Home Visits in the SILC Trial.Birth (Berkeley, Calif.) · 2016Trial
- Breastfeeding among contemporary Australian populations and 2025 national targets: a scoping review of current data and implications for policy and practice.International breastfeeding journal · 2026Article
- Co-Development of an Evidence-Based Breastfeeding Support Intervention, Optimised for Delivery in Healthcare Settings, and Adaptations for Mothers With Long-Term Conditions: The Action for Breastfeeding (A4B) Programme.Maternal & child nutrition · 2026Article
- Maternal satisfaction on breastfeeding among paediatric outpatient mothers.Bioinformation · 2025Article
- Development of a complex intervention to strengthen municipality-based breastfeeding support to reduced social inequity in breastfeeding.Archives of public health = Archives belges de sante publique · 2024Article
- Article
- Article
- Effectiveness of Positive Deviance Approach to Promote Exclusive Breastfeeding Practice: A Cluster Randomized Controlled Trial.Risk management and healthcare policy · 2021Article
- Breastfeeding support at an Australian Breastfeeding Association drop-in service: a descriptive survey.International breastfeeding journal · 2020Article
- Proactive Peer (Mother-to-Mother) Breastfeeding Support by Telephone (Ringing up About Breastfeeding Early [RUBY]): A Multicentre, Unblinded, Randomised Controlled Trial.EClinicalMedicine · 2019Article
- Routinely collected infant feeding data: Time for global action.Maternal & child nutrition · 2018Article
- Implementation and evaluation of community-based drop-in centres for breastfeeding support in Victoria, Australia.International breastfeeding journal · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesBreastfeeding has significant health benefits for mothers and infants. Despite recommendations from the WHO, by 6 months of age 40% of Australian infants are receiving no breast milk. Increased early postpartum breastfeeding support may improve breastfeeding maintenance. 2 community-based interventions to increase breastfeeding duration in local government areas (LGAs) in Victoria, Australia, were implemented and evaluated.
design3-arm cluster randomised trial.
settingLGAs in Victoria, Australia.
participantsLGAs across Victoria with breastfeeding initiation rates below the state average and > 450 births/year were eligible for inclusion. The LGA was the unit of randomisation, and maternal and child health centres in the LGAs comprised the clusters.
interventionsEarly home-based breastfeeding support by a maternal and child health nurse (home visit, HV) with or without access to a community-based breastfeeding drop-in centre (HV+drop-in).
main outcome measuresThe proportion of infants receiving 'any' breast milk at 3, 4 and 6 months (women's self-report).
findings4 LGAs were randomised to the comparison arm and provided usual care (n=41 clusters; n=2414 women); 3 to HV (n=32 clusters; n=2281 women); and 3 to HV+drop-in (n=26 clusters; 2344 women). There was no difference in breastfeeding at 4 months in either HV (adjusted OR 1.04; 95% CI 0.84 to 1.29) or HV+drop-in (adjusted OR 0.92; 95% CI 0.78 to 1.08) compared with the comparison arm, no difference at 3 or 6 months, nor in any LGA in breastfeeding before and after the intervention. Some issues were experienced with intervention protocol fidelity.
conclusionsEarly home-based and community-based support proved difficult to implement. Interventions to increase breastfeeding in complex community settings require sufficient time and partnership building for successful implementation. We cannot conclude that additional community-based support is ineffective in improving breastfeeding maintenance given the level of adherence to the planned protocol. TRIAL REGISTRATION NUMBER: ACTRN12611000898954; Results.
Indexed as
Identifiers
What OpenQuestion holds
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.