Peer support intervention (ABA-feed) to improve breastfeeding: UK based, multicentre, parallel group, randomised controlled trial.
Jolly K, Clarke J, Crossland N, Dombrowski SU, Gkini E, Hoddinott P, Ingram J, Johnson D, MacArthur C, Mann M, McKell J, Moss N, Roberts T, Sanders J, Savory N, Sitch A, Taylor B, Tearne S, Thomson G, Williams E, Woolley R, ABA-feed study group
Paper source
Peer support intervention (ABA-feed) to improve breastfeeding: UK based, multicentre, parallel group, randomised controlled trial.
This rigor review was examined and confirmed by Adcurare Editorial · July 6, 2026
How this rating was calculated▸
- ReportingData & code availability partially met−0.25★
- References were not verified against Crossref/OpenAlex.
- Data/code availability incomplete
This Adcurare Rigor Review uses AI Rigor Reviewers trained on a curated corpus of high-fidelity and retracted papers, with expert supervision and curation. It can still make mistakes; verify each finding against the source before relying on it.
This is a well-conducted and transparently reported pragmatic RCT of a peer support intervention for breastfeeding. The main methodological strengths are the rigorous randomisation, pre-specified analysis plan, and comprehensive reporting of limitations. The primary weaknesses are minor reporting gaps: the absence of an explicit regulatory compliance statement in the ethics section, and the code being shared only as a supplementary file rather than in a version-controlled repository.
All three independent reviewers evaluated the full manuscript. The reviewers agreed on most dimensions; the main divergence was on ethical approvals (one reviewer flagged a missing regulatory compliance statement) and key resources (one reviewer considered it not applicable, but the intervention is a described resource). The statistics verification component checked 4 tests and found all consistent; coverage is limited to tests with a test statistic + df or an effect estimate + CI. No citation issues were flagged. The copyedit pass found one minor clarity issue.
12 major claims checked against the paper's own evidence: all adequately supported.
Recomputed 4 tests: 4 consistent, 0 inconsistent, 4 via agent-written checks.
1 copyedit issue flagged: mostly clarity.
1 data/code link checked; 1 live.
Registered (1 ID: ISRCTN). No reporting guideline cited.
The manuscript is ready for submission after addressing the minor reporting gaps: add a regulatory compliance statement, deposit the analysis code in a public repository, and mention adherence to CONSORT guidelines. These are low-effort fixes that will strengthen the paper's transparency.
- 1.HIGHethicsAdd an explicit regulatory compliance statement in the Ethics section, e.g., 'The trial was conducted in accordance with the Declaration of Helsinki and the UK Policy Framework for Health and Social Care Research.'The paper currently lacks an explicit statement of compliance with a recognized regulatory framework, which is a standard reporting requirement for human trials.
- 2.HIGHdata codeDeposit the SAS and Stata analysis code in a version-controlled public repository (e.g., GitHub or Zenodo) with a persistent DOI, and update the data availability statement to reference the repository URL.Sharing code only as a supplementary file is considered inadequate; a public repository with a permanent identifier ensures long-term accessibility and reproducibility.
- 3.HIGHreportingAdd a statement in the Methods section that the trial is reported in accordance with the CONSORT 2010 statement, and consider submitting the CONSORT checklist as a supplementary file.Explicitly mentioning adherence to a reporting guideline is a standard expectation for RCTs and improves transparency.
- 4.MEDIUMreportingSimplify the Table 4 footnote as suggested by the copyedit pass: 'Risk ratios and risk differences were adjusted for minimisation variables (age as fixed effect, site as random effect; infant feeding helper was removed due to convergence). For breastfeeding initiation, site was also removed.'The current footnote contains nested parentheses that reduce clarity; a simplified version improves readability.
- 5.MEDIUMreportingIn the Methods, explicitly state that assumptions for the mixed effects models (e.g., normality of residuals, proportional hazards) were checked and met, or describe any deviations.While sensitivity analyses cover many scenarios, explicitly stating that model assumptions were verified strengthens the statistical reporting.
- 6.MEDIUMreportingAdd a brief rationale in the Abstract or Methods for the unblinded design, e.g., 'due to the nature of the peer support intervention, blinding was not feasible'.Although the unblinded design is transparent, a brief justification preempts potential reviewer criticism.
- 7.LOWreportingClarify in the Data availability statement whether the data are already deposited at the provided URL or whether registration is needed to access the deposit; specify the conditions and timeline for access.Providing more detail on the access process increases transparency and usability for other researchers.
- 8.LOWreportingConsider including a brief justification for the 1.43:1 randomisation ratio beyond accounting for clustering (e.g., to save costs or improve power?).While the ratio is explained by clustering, a brief additional rationale would be informative.
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