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Record W2045566418 · doi:10.1177/1074840704273508

Development of Professional Practice Based on a Family Systems Nursing Framework: Nurses’ and Families’ Experiences

2005· article· en· W2045566418 on OpenAlex
Karen LeGrow, Beth Ellen Rossen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Family Nursing · 2005
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsNursingMedicineRelevance (law)Pediatric nursingFocus groupNursing practiceNurse educationPsychology

Abstract

fetched live from OpenAlex

The purpose of this evaluation project was to elicit nurses'and families' experiences about differences and changes for nurses and families and the family-nurse relationship when a family systems nursing approach was used to guide practice. Following nurses' involvement in an educational workshop, the evaluation examined changes in nurses'and families' experiences over an 8-week period of a child's hospitalization in a pediatric rehabilitation center. A total of 17 nurses and 13 parents participated in the project. Nurses and parents completed questionnaires and participated in semi-structured interviews and focus groups. Nurses completed journals reflecting on their interactions with families. Data were analyzed using descriptive statistics and content analysis. Findings indicate that a family systems nursing approach had a positive impact on how nurses viewed their nursing practice and their work with families, thereby enhancing family-nurse relationships. Such findings have relevance to clinical nursing practice, professional development, and evaluation research design.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.092
GPT teacher head0.445
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it