Enhancing Paternal Support: A Concept Analysis of Social Support for First-Time Fathers
Bibliographic record
Abstract
Introduction. Social support, as a multidimensional concept, is studied across disciplines. However, examining the concept in relation to first-time fathers in the perinatal period remains an underexplored avenue. This analysis aims to clarify what social support for first-time fathers means through an operational definition that will assist healthcare providers in supporting fathers as valuable assets to the wellbeing of their partners and children. Design. Walker and Avant’s concept analysis approach is used to identify the attributes, antecedents, and consequences of social support for first-time fathers during the perinatal period. Data Source. A thorough title and abstract review led to the analysis of 41 articles from databases, including MEDLINE, CINAHL, PsycINFO, the Social Sciences Citation Index, and Embase databases from 1970 to 2022. Results. Social support for first-time fathers can be described as a relational strategy and supportive intervention from both informal and formal sources. This concept analysis broadens the meaning of social support by considering structural and functional attributes. It offers fresh insights into how support can be coordinated across microsystems and macrosystems to address the distinctive requirements of current-day fathers within the intricate family dynamics. Furthermore, gender, cultural, and generational differences affect the preferences and needs of fathers, as well as their ability to support their partners and infants. Fathers preferred emotional support from their partners and sought informational and appraisal support from healthcare professionals. In addition, supportive relationships are characterized by proximity, reciprocity, congruency, and continuity during the perinatal period. Conclusion. Conceptualizing social support encompasses both upstream and downstream approaches across structures and systems to support fathers. Support for first-time fathers includes developing father-specific approaches to perinatal nursing care and practice. Social support carries implications for fostering socially inclusive policies, interdisciplinary curriculum integration, advocacy, and research aimed at improving paternal mental health and perinatal wellbeing.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".