Mobile phone text messaging plus motivational interviewing versus usual care: study protocol for a randomized controlled trial to evaluate effects on breastfeeding, child health, and survival outcomes, among women living with HIV (MTI-MI)
Bibliographic record
Abstract
BACKGROUND: Many infants in low-resourced settings at high risk of infectious disease morbidity and death are deprived of the immunological and nutritional benefits of breast milk, through an attenuated duration of breast milk exposure. South Africa has one of the lowest exclusive breastfeeding rates in Africa, with 8% of infants under 6 months of age. We assume that breastfeeding is sustained among women living with HIV receiving weekly text messages and motivational interviewing and that this contributes to improved infant health outcomes. OBJECTIVES: (1) To evaluate the effectiveness of a combined intervention of mobile phone text messaging and motivational interviewing in promoting (a) exclusive breastfeeding and (b) any form of breastfeeding, until 6 months of child age, compared to usual care, among mothers living with HIV. (2) To evaluate the effectiveness of a combined intervention on (a) reduction in all-cause hospitalization and mortality rates and (b) improvements in infant linear growth, compared to usual care, among HIV-exposed infants aged 0-6 months. METHODS: We are conducting a clinical trial to determine whether text messaging plus motivational interviewing prolongs breastfeeding and improves infant health outcomes. We are recruiting 275 women living with HIV and their HIV-exposed infants at birth and randomly assign study interventions for 6 months. STATISTICAL METHODS: Breastfeeding rates are compared between the study groups using a standard proportion test and binomial regression. Survival endpoints are presented using Kaplan-Meier survival curves and compared between the study groups using the Cox proportional-hazards regression model. The count endpoint is analysed using the Poisson random-effects model and mean cumulative function. We use mixed linear regression models to assess the evolution of infant growth over time. The maximum likelihood method will be used to handle missing data. DISCUSSION: The study findings may facilitate decision-making on (1) whether implementation of the breastfeeding policy achieved the desired outcomes, (2) interventions needed to sustain breastfeeding, and (3) whether the interventions do have an impact on child health. TRIAL REGISTRATION: ClinicalTrials.gov NCT05063240. Pan African Clinical Trial Registry PACTR202110870407786. Oct. 1, 2021.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".