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Record W4205464135 · doi:10.1111/cch.12966

Mother–nurse decision making practices for children with complex health care needs receiving homecare services: A qualitative descriptive study

2022· article· en· W4205464135 on OpenAlexaff
Karen LeGrow, Eyal Cohen, Sherry Espin

Bibliographic record

VenueChild Care Health and Development · 2022
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of TorontoToronto Metropolitan University
Fundersnot available
KeywordsThematic analysisNursingHealth careQualitative researchFocus groupPsychologyMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Many children with complex health care needs face chronic health and developmental issues that may include functional impairments, neurodevelopmental disabilities, and lifelong dependence on medical technology. Providing the necessary care and services for this unique group of children and youth places substantial demands on the health care system. Much of the focus on improvements has been in acute care settings even though homecare accounts for the largest proportion of health care utilization among children with complex health care needs. While parents assume great responsibility for their child's care at home, they indicate that the balance of power between themselves and their health care providers does not change when care shifts from the hospital to home. Given the expanding role of paediatric homecare and parents' concerns of their role in decisions related to their child's care, it is imperative to explore these practices in this unique setting. PURPOSE: The purpose of this work is to explore mother-nurse decision making practices for children with complex health care needs receiving health care services in their home. METHODS: A qualitative descriptive study design was used. Five mothers and five nurses participated. Twenty-six home observations with accompanying analytical memos and 10 semistructured interviews were conducted with five mothers and five homecare nurses. Thematic analysis of study data, using an iterative process, identified major themes. FINDINGS: Data revealed the complex and relational nature of mother-nurse decision making practices within the home setting. Three major themes were identified: (1) core areas of decision making, (2) a dynamic and collaborative process, and (3) centrality of relationships. CONCLUSIONS: Study findings enhanced our understanding of how decision making and relational care practices take place in the home for children with complex health care needs receiving homecare services, which has implications for child and family health.

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.378
Teacher spread0.331 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2022
Admission routes1
Has abstractyes

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