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Record W6993003537

Neonatal nursesâ experiences of caring for high-risk infants involved in research

2008· other· en· W6993003537 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2008
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSafeguardingQualitative researchGuard (computer science)Exploratory researchFocus groupNeonatal intensive care unitGrounded theoryDescriptive researchThematic analysis
DOInot available

Abstract

fetched live from OpenAlex

Although attention has been given to parental attitudes regarding enrollment of their high-risk infants in research, there is a paucity of knowledge in the literature, which investigates nurses’ experiences of caring for high-risk infants involved in research. Consequently, there is little understanding of how caring for these infants impacts nursing care. The purpose of this research was to arrive at an increased understanding of neonatal nurses' experiences in caring for high-risk infants involved in research. Attention was given to exploring neonatal intensive care unit (NICU) nurses’ perspectives towards neonatal research and the notion of risk to involving high-risk infants in research, their perceived roles and responsibilities with regards to high-risk infants in research, and the impact of research on caring for high-risk infants. This study was built on the research program of the student’s supervisor that seeks to increase the knowledge base of the nature of risk in child health research. \nAn exploratory descriptive study within the qualitative paradigm was used. Seven semi-structured interviews, one focus group interview, and field notes were used to obtain information from seven NICU nurses. All of the qualitative data that emerged was analyzed using the constant comparative data analysis technique. Data analysis revealed that safeguarding their patients, or being a “safety net”, was the essence of nurses’ experiences of caring for high-risk infants involved in research. The nurses described their main role was the provision of a safe environment, regardless of the infants’ involvement in research. Acting as a “safety net” involved the nurses always being on guard and knowledgeable about their patients’ care. The following three themes further depicting the safeguarding experience emerged: feelings within, keeping it near and dear, and making it safer. The first theme, feelings within, uncovered nurses’ mixed emotions when caring for infants involved in research, which ranged from positive feelings to feelings of moral distress. The second theme, keeping it near and dear, referred to the uncomfortable feelings and memories that nurses held about situations in which they felt infants enrolled in research had suffered because of their inability of not being able to fully safeguard them. Some of the nurses expressed regretting their choices, such as not speaking up on a patient’s behalf, while others described it as a learning process, which eventually contributed to their abilities to safeguard infants. The third theme, making it safer, was based on the nurses’ enthusiasm about the future of neonatal research. The nurses identified many ways in which child health researchers, bedside nurses, REB members, and parents could minimize the risks of involving high-risk infants in research. This study yielded new insights about how NICU nurses care for high-risk infants involved in research that may be used to improve the protection of high-risk infants in research and ultimately contribute to the quality of care for these infants. Recommendations for nursing practice, education, and research are suggested.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.040
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0080.007
Scholarly communication0.0050.002
Open science0.0010.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.215
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2008
Admission routes1
Has abstractyes

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Same venueLibrary and Archives Canada (Government of Canada)→French-language works237,207→