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Record W3129599219 · doi:10.2196/27138

Effectiveness of a Postpartum Text Message Program (Essential Coaching for Every Mother) on Maternal Psychosocial Outcomes: Protocol for a Randomized Controlled Trial

2021· article· en· W3129599219 on OpenAlexaffvenue
Justine Dol, Megan Aston, Douglas McMillan, Gail Tomblin Murphy, Marsha Campbell‐Yeo

Bibliographic record

VenueJMIR Research Protocols · 2021
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsNova Scotia Health AuthorityDalhousie University
Fundersnot available
KeywordsCoachingProtocol (science)PsychosocialRandomized controlled trialPsychologyMedicineNursingFamily medicineMedical educationAlternative medicinePsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: Women experience changes both physically and psychologically during their transition to motherhood. The postnatal period is a critical time for women to develop maternal self-efficacy. Mobile health interventions may offer a way to reach women during this critical period to offer support and information. Essential Coaching for Every Mother is a text message program that seeks to educate and support women during the first 6 weeks postpartum. OBJECTIVE: The primary effectiveness objective is to compare the effectiveness of the Essential Coaching for Every Mother program on maternal psychosocial outcomes (self-efficacy, social support, postpartum depression, and postpartum anxiety) immediately after the intervention and 6 months postpartum, collectively as well as stratified by parity. The primary implementation objective is to evaluate the implementation extent and quality of the Essential Coaching for Every Mother program. METHODS: This will be a hybrid type 1 effectiveness-implementation randomized controlled trial. A total of 140 mothers-to-be or new mothers from Nova Scotia will be recruited and randomized to the intervention or control arm, stratified by parity. The intervention arm will receive the Essential Coaching for Every Mother program, which consists of 53 messages sent twice a day for the first 2 weeks and daily for weeks 3 through 6. The control group will receive usual care. Messages are personalized based on the infant's age and the woman's self-selected preference for breastfeeding or formula feeding and tailored with the infant's name and gender. Women can enroll in the program if they are ≥37 weeks pregnant or within 10 days postpartum, with the first message designed to be sent on the second evening after birth. The actual number of messages received will vary based on the timing of enrollment and the infant's date of birth. Participants will complete questionnaires assessing self-efficacy, social support, and postpartum depression and anxiety at baseline (enrollment after birth) and 6 weeks (postintervention) and 6 months postpartum. Implementation data will be collected throughout the trial, and evaluation feedback will be collected at 6 weeks from women who received the intervention. RESULTS: Recruitment for this study started on January 5, 2021, and is currently ongoing, with an anticipated date of recruitment completion of January 2022. CONCLUSIONS: This study will assess the effectiveness of a postpartum text message program to improve maternal self-efficacy and social support while decreasing postpartum depression and anxiety. It will also shed light on the implementation effectiveness of the program. TRIAL REGISTRATION: ClinicalTrials.gov NCT04730570; https://clinicaltrials.gov/ct2/show/NCT04730570. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/27138.

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)0.058
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.081
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0580.046
Meta-epidemiology (narrow)0.0080.004
Meta-epidemiology (broad)0.0180.009
Bibliometrics0.0050.005
Science and technology studies0.0050.005
Scholarly communication0.0060.005
Open science0.0050.003
Research integrity0.0100.011
Insufficient payload (model declined to judge)0.0810.013

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 head0.105
GPT teacher head0.550
Teacher spread0.445 · 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 designRandomized 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

Citations12
Published2021
Admission routes2
Has abstractyes

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