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Record W4308271445 · doi:10.21203/rs.3.rs-2147255/v1

The Feasibility of a Randomized Controlled Trial to evaluate interactive weekly mobile phone text messaging plus motivational interviewing to promote breastfeeding among women living with HIV

2022· preprint· en· W4308271445 on OpenAlexafffund
Moleen Zunza, Taryn Young, Mark F. Cotton, Amy L. Slogrove, Lawrence Mbuagbaw, Louise Kuhn, Lehana Thabane

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsColumbia CollegeMcMaster University
FundersCanadian Institutes of Health ResearchUniversiteit Stellenbosch
KeywordsBreastfeedingMedicinePsychological interventionRandomized controlled trialMotivational interviewingFamily medicineBreast feedingPediatricsNursing

Abstract

fetched live from OpenAlex

Abstract Background In 2011, South Africa changed infant feeding guidelines for women with HIV from government-supplied formula feeding to exclusive breastfeeding for six months and continued breastfeeding for two years or longer. With only 8% of infants under 6 months of age being breastfed, interventions are required to improve breastfeeding rates. We assessed whether an appropriately powered randomized trial was feasible regarding i) recruitment and retention, and ii) protocol adherence. We explored the potential effects of the intervention on sustaining exclusive breastfeeding at 24 weeks postpartum. Methods We conducted a randomized parallel, two arm feasibility trial. Women were included if they initiated breastfeeding within 24 hours of giving birth at the Worcester midwife obstetric unit, on antiretroviral treatment, and aged ≥18 years. We randomly assigned mother-infant pairs to receive weekly text messaging encouraging exclusive breastfeeding plus in-person individual motivational interviews postpartum at weeks 2, 6, and 10 at Family Clinical Research with Ubuntu or standard infant feeding counselling during routine postnatal clinic visits. Results Of 123 mothers consented for screening, 52 eligible participants consented for study participation. We recruited an average of five participants per month over 11 months. Most participants were unemployed (75%), had some high school education (84%), and disclosed their HIV status to someone close (88%). About 65% participants completed outcome evaluation at week 10, decreasing to 35% at week 24. Twenty participants had the week 24 visit planned between 20 March and August 2020, during COVID-19 lockdown. Of these, four completed the visit telephonically, 16 were lost to follow up. Exclusive breastfeeding rate remained relatively high across both groups through week 24. Although the intervention group had higher rates of exclusive breastfeeding at week 24 than the control group this difference was minimal; rate difference 22.2% [95% confidence interval (CI) -20.1% to 64.5%]. Conclusions With a large enough eligible target population recruitment targets could be achieved for the large randomized trial. Strategies to retain participants, such as remote monitoring in addition to in-person follow-up visits, will be essential. Trial registration: The trial was registered on ClinicalTrials.gov on 31/10/2016; NCT02949713 and on Pan African Clinical Trial Registry on 08/11/2016; PACTR201611001855404.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.028
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0110.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.416
Teacher spread0.351 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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