Transforming Mother-Infant Interaction Within Cultural and Caregiving Contexts: Home-Based Occupational Therapy for Preterm Infants
Bibliographic record
Abstract
Background Developing positive interaction between preterm infants and their mothers is known to be a challenge because preterm infants are more fussy and difficult to soothe. Yet, little is known about what happens to the mother-infant interaction as the babies grow older in their natural environment and when and how the mother-infant dyads continue to need support for home care. This study aimed to explore the changes in mother-infant interaction of preterm infants and their mothers who received home care occupational therapy. Methods We video-recorded the interaction of 12 dyads of mothers and preterm infants during free play, feeding, and the mother positioning the infants for different movements. The mothers then reviewed the video recording and participated in an in-depth interview. Six months later, each dyad repeated the video recording and interview. In addition, Chinese and Tamil-speaking mothers of well babies were interviewed in focus groups. The focus group findings inform us of the meaning of culture in caregiving. Results The findings showed that the quality of interaction is shaped by the specific cultural beliefs and caregiving contexts in the home. Central to the concept is the transformation of the baby that triggers the mother to respond and then transform together. The occupational therapist who plays the supporting role facilitates the dyads to interact more harmoniously. Conclusion This study proposes a new conceptualisation that allows us to unfold the process of change in mother-infant interaction for preterm infants and their mothers within the contexts of cultural values and the caregiving environment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".