OBJECTIVES: To describe how nurses assess and manage pain in critically ill children. DESIGN: Descriptive, comparative research design, with use of the Indicators of Pain in Critically Ill Children assessment tool. SETTING: Twelve-bed pediatric intensive care unit in a metropolitan general hospital with a level II pediatric trauma center. PARTICIPANTS: Twenty-four pediatric intensive care unit nurses who conducted 112 assessments of 25 critically ill children. RESULTS: Pain indicators selected most frequently by nurses included cardiovascular and respiratory changes (increased heart rate, respiratory rate, and blood pressure), followed by behavioral indicators (irritable/fussy, verbalizing pain, crying), and neuromuscular responses (tenseness/rigidity, squirming, drawing up legs). The average number of pain indicators selected during each medication event was 5.3. More indicators were selected for trauma, surgery, and younger patients; fewer indicators were selected for patients receiving ventilation treatment. CONCLUSION: Pain assessment of critically ill children includes unique indicators, as compared to less sick children, and must take into account the child's decreased ability to communicate pain.

Adolescent↗

PubMedDate not supplied

SGS--Spatial Genetic Software: a computer program for analysis of spatial genetic and phenotypic structures of individuals and populations.

We have developed a program called Spatial Genetic Software (SGS), which provides a user-friendly Windows tool to analyze both local and broad scale genetic and phenotypic structure. It can deal with nearly any type of genetic data, codominant (allozyme, PCR-RFLP, microsatellite) or dominant (RAPD, AFLP) markers, or biparentally (nuclear) or uniparentally (cpDNA and mtDNA) inherited markers. Data based on any of these markers can be analyzed, either as individual genotypes within a single population (local scale) or as allele or haplotype frequencies from different populations (broad scale). We also include a simple approach to analysis of spatial structure for continuous quantitative traits. The program implements various parameters to analyze spatial genetic and phenotypic structure: Moran's index, Geary's index, number of alleles in common, and approaches using genetic distances and F(ST) values. The statistical significance of all measures is verified by the use of a permutation test. The results are assessed by graphics that can be integrated, via the clipboard, to other Windows programs. The details of the computations are given in a table and can be stored as ASCII files.

Demography↗

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