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Record W4411532610 · doi:10.2196/73496

Assessing the Effectiveness of an Awareness Program on Knowledge and Practice Regarding the Mothers’ Absolute Affection Program Among Postnatal Mothers in Selected Hospitals: Protocol for a Quasi-Experimental Study

2025· article· en· W4411532610 on OpenAlexvenueno aff
Vaishnavi Dongare, Kavita Gomase, Vaishali Taksande

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsAffectionProtocol (science)PsychologyAbsolute (philosophy)Medical educationMedicineFamily medicineDevelopmental psychologySocial psychologyAlternative medicine

Abstract

fetched live from OpenAlex

Background: The Mothers' Absolute Affection (MAA) program is a national initiative launched by the Ministry of Health and Family Welfare, Government of India, on August 5, 2016, to promote, support, and protect breastfeeding across the country. The program aims to provide focused breastfeeding promotion and counseling services through the health system. It targets approximately 39 million pregnant and nursing mothers, 880,000 Accredited Social Health Activists, 150,000 subcenters, and 17,000 delivery points across all states and union territories. Despite its wide reach, there remains a lack of valid and reliable tools to assess mothers' knowledge and practices related to breastfeeding and the MAA program. Objective: The aims of this study are to assess the existing knowledge and practice regarding the MAA program among postnatal mothers, to evaluate the effectiveness of an awareness program on knowledge and practice regarding the MAA program, to correlate knowledge and practice regarding the MAA program among postnatal mothers, and to associate knowledge and practice with selected demographic variables. Methods: A quasi-experimental one-group pretest and posttest design was used to evaluate the effectiveness of an awareness program for the MAA program among postnatal mothers. The study was conducted at a selected hospital with a sample of 80 postnatal mothers selected through inclusion and exclusion criteria. On Day 1, participants underwent a pretest followed by an awareness session on the MAA program. A posttest was administered on Day 2. Knowledge was assessed using a structured questionnaire consisting of 15 items, while practice was evaluated using a 5-point Likert scale. Data were analyzed using descriptive and inferential statistics, including paired t tests and χ2 tests. Results: Knowledge scores were classified into three levels-poor (0%-33.33%), fair (33.34%-66.66%), and good (66.67%-100%)-based on the number of correct responses out of 15. Practice was categorized as poor (0%-50%) or good (51%-100%) based on the 5-point scale score. The study revealed significant improvements in both knowledge and practice following the awareness intervention, indicating that the program was effective. The scoring procedure provided a comprehensive understanding of the awareness and practical implementation of the MAA program among postnatal mothers. Conclusions: The awareness program significantly improved the knowledge and practices of postnatal mothers regarding the MAA program, emphasizing the value of educational interventions in promoting breastfeeding.

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)0.025
metaresearch head score (Gemma)0.015
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: Non-randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.025
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.015
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0020.002
Science and technology studies0.0040.003
Scholarly communication0.0010.002
Open science0.0040.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0190.003

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 head0.149
GPT teacher head0.606
Teacher spread0.457 · 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
Published2025
Admission routes1
Has abstractyes

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