Exploration of the needs and potential spiritual capacities of mothers of premature infants hospitalized in the neonatal intensive care unit: A Qualitative Study
Bibliographic record
Abstract
Background: The birth of a premature baby and the long treatment process lead to conflict and inconsistency between the hope, values, and beliefs of mothers and the occurrence of spiritual distress. This study aims to explore the needs and potential spiritual capacities of mothers of premature babies admitted to the NICU. Methods: This qualitative content analysis study included 15 mothers of premature infants hospitalized in four neonatal intensive care units in Mashhad, Iran, in 2021. The participants were selected using purposeful sampling and engaged in deep, semi-structured interviews with the FICA (faith, importance, community, address) questionnaire. The study included mothers of premature babies born between 28 and 32 weeks who were hospitalized for at least three days, did not have mental disorders, and were identified as Iranian or Muslim. The data were analyzed using the content analysis method developed by Granheim and Lundman. Results: The data analysis revealed four main themes. The first theme referred to "potential spiritual capacities," with subthemes including belief in a divine source, belief in religious rituals, and empathetic support. The other three themes refer to spiritual needs, including “challenges of faith,” encompassing subthemes of doubts in beliefs and guilt, “need for compassionate care,” which includes subthemes related to the necessity of a deep connection between the nurse and the mother, the need for dignity in care, and finally, ‘need for value and positive expectations,’ featuring subthemes addressing the challenges of meaning of life and the need for hope, highlights the spiritual needs of mothers. Conclusion: Many parents of premature babies share similar spiritual needs. This research provides a new perspective for understanding the spiritual needs of premature baby mothers. Nurses should assess these needs and design appropriate interventions according to their potential spiritual capacities.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".