Psychometric Evaluation of the Family-Centered Care Scale for Pediatric Acute Care Nursing
Bibliographic record
Abstract
BACKGROUND: Caring for families is fundamental to pediatric nursing. However, existing measures do not capture parents' experiences with family-centered nursing care. OBJECTIVE: The aim of this study was to describe the development and initial psychometric testing of the Family-Centered Care Scale, a seven-item instrument designed to measure a parent's experience of nursing care that embodies core principles of family-centered care. METHODS: In Phase 1, 18 items describing what nurses do to engage parents of hospitalized children were derived from the literature describing mutuality. After establishing face validity, pretesting, and revision for clarity, the scale was administered to a convenience sample of 91 parents of hospitalized patients. In Phase 2, two items on parents' perceptions of being well-cared-for were added. The 20-item scale was administered to 564 parents of children recruited from all inpatient units in a children's hospital. In Phase 3, the scale was shortened to seven items and retested for validity among 454 additional parents. RESULTS: Internal consistency reliability was high across all versions and testing phases. Confirmatory factor analysis with data from a subsequent sample supported the final factor structure, regardless of patient type and race. There was a linear association between the scale consistency scores and overall quality of care ratings, supporting predictive validity of the scale. DISCUSSION: The Family-Centered Care Scale showed initial evidence of reliability and validity among parents with hospitalized children.
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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 | 0.009 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".