PubMed Health⌕ Search

PubMed · 10262135

Nurses' perceptions of pediatric nursing functions.

Abstract

The purpose of this study was to describe nurses' perceptions of the importance of pediatric nursing functions and to determine if there were differences in perceptions of nurses in managerial, clinical, and teaching positions. Subjects were 125 pediatric nurses in managerial, clinical, and teaching positions. Respondents were asked to rate the importance of 43 nursing functions on a 9-point scale ranging from highly important to not at all important. Mean ratings of pediatric nursing functions were determined and one-way analyses of variance performed. The five nursing functions perceived to be most important were, in order of ranking: (a) providing emotional support of children, (b) recognizing significant physical deviations, (c) implementing nursing interventions, (d) preparing children psychologically for procedures and surgery, and (e) identifying nursing problems. Significant differences were found between groups in perceptions of the importance of 23 nursing functions, mainly in the areas of psychosocial care, teaching, and nursing process. Most differences were between the teaching and managerial groups or between teaching and the managerial and clinical groups combined. Differences in perceptions of the importance of a number of nursing functions, though not great, suggest a need for more dialogue between managers, teachers, and clinicians.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

V Pidgeon, C Sander. 1982. Nurses' perceptions of pediatric nursing functions.. https://doi.org/10.1207/s15326888chc1004_3

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Molecular heterochrony and the evolution of sociality in bumblebees (Bombus terrestris).

Sibling care is a hallmark of social insects, but its evolution remains challenging to explain at the molecular level. The hypothesis that sibling care evolved from ancestral maternal care in primitively eusocial insects has been elaborated to involve heterochronic changes in gene expression. This elaboration leads to the prediction that workers in these species will show patterns of gene expression more similar to foundress queens, who express maternal care behaviour, than to established queens engaged solely in reproductive behaviour. We tested this idea in bumblebees (Bombus terrestris) using a microarray platform with approximately 4500 genes. Unlike the wasp Polistes metricus, in which support for the above prediction has been obtained, we found that patterns of brain gene expression in foundress and queen bumblebees were more similar to each other than to workers. Comparisons of differentially expressed genes derived from this study and gene lists from microarray studies in Polistes and the honeybee Apis mellifera yielded a shared set of genes involved in the regulation of related social behaviours across independent eusocial lineages. Together, these results suggest that multiple independent evolutions of eusociality in the insects might have involved different evolutionary routes, but nevertheless involved some similarities at the molecular level.

Analysis of Variance↗

Confidence intervals for the standardized effect arising in the comparison of two normal populations.

Confidence intervals for a standardized effect are derived after stabilizing the variance of the Welch t-statistic. Simulation studies demonstrate the viability of the resulting intervals for a wide range of parameter values and sample sizes as small as five. The methodology is extended to the combination of results from several studies, so as to obtain a confidence interval for a representative standardized effect for all the studies. The methods are illustrated on a recent meta-analytic study of systolic blood pressure reduction during a weight reducing regime, as well as the classical Mumford data on psychological intervention and hospital length of stay.

Analysis of Variance↗