Reliability and Validity of the Arabic Version of the Parental Stressor Scale and Nurse Parental Support Tool
Bibliographic record
Abstract
BACKGROUND: The admission of a newborn infant to a neonatal intensive care unit (NICU) due to preterm birth or high-risk conditions, such as perinatal injury, sepsis, hypoxia, congenital malformation, or brain injury, is a stressful experience for mothers. There is currently a lack of research on maternal perceived stress and support in Egyptian NICUs and no validated Arabic tool to investigate this further. PURPOSE: To determine the reliability and validity of the Arabic language versions of the Parental Stressor Scale: NICU (PSS:NICU) and the Nurse Parental Support Tool (NPST). METHODS: Egyptian mothers completed the PSS:NICU and the NPST at the time of their infants' discharge from the NICU. Reliability was assessed with Cronbach α and Spearman-Brown coefficient. The multifactorial structure of the PSS:NICU Arabic version was tested. Associations with sociodemographic and clinical variables were explored with bivariate correlations and t tests. RESULTS: Sixty-eight mothers of preterm (PT) infants and 52 mothers of ill full-term (IFT) infants completed the study. Mothers of PT and IFT infants did not differ for sociodemographic variables. High internal consistency (α range between .93 and .96) emerged for both tools. Spearman-Brown coefficients ranged between 0.86 and 0.94. The multidimensional structure of the PSS:NICU was confirmed and 3 core dimensions explained up to 71.48% of the variance. Perceived nursing support did not diminish the effects of stress in mothers of infants admitted to the NICU, regardless of PT or IFT infants' status. A longer NICU stay was associated with greater stress in mothers of PT infants. The presence of comorbidities was significantly associated with stress of mothers of IFT infants. IMPLICATIONS FOR RESEARCH: Future research is needed to develop evidence-based support for mothers whose infants are admitted to a NICU in Egypt. The availability of validated and reliable PSS:NICU and NPST scales in Arabic will facilitate cross-country and cross-cultural research on maternal stress in the NICU. IMPLICATIONS FOR PRACTICE: Neonatal care nurses in Egypt will be able to increase their understanding of the stressors experienced by mothers of infants admitted to the NICU. This will in turn enable the introduction of neonatal care policies aimed at reducing specific stressors and provide improved maternal support.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".