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Biomedical subjects

Janet D Elashoff

Publications and source records attributed to Janet D Elashoff.

4 recordsLinked to original sources

Population meta-analysis of low plasma glucose thresholds in full-term normal newborns.

There is extreme variation in the definition of low plasma glucose levels in newborn infants in the first postnatal days, ranging from < 30 to < or = 60 mg/dL. The goal of the present study was to define low thresholds (< or = 5th percentile) of plasma glucose concentrations in full-term normal newborns during the first 72 hours of life. Population meta-analysis was performed on published studies of neonatal hypoglycemia ascertained by MedLine search. One-way analysis of variance was computed across the studies for each of the following four postnatal time periods: 1 to 2 (physiological nadir), 3 to 23, 24 to 47, and 48 to 72 hours. The estimated < or = 5th percentiles of neonatal hypoglycemia during 1 to 2, 3 to 23, 24 to 47, and 48 to 72 hours after birth were < or = 28, < or = 40, < or = 41, and < or = 48 mg/dL, respectively. Based on this statistical definition, we recommend that low thresholds of plasma glucose levels of 28, 40, and 48 mg/dL be adopted in full-term normal newborns at 1 to 2, 3 to 47, and 48 to 72 hours of life, respectively.

Analysis of Variance↗

Impact of California's licensed nurse-patient ratios on unit-level nurse staffing and patient outcomes.

This article presents the first analysis of the impact of mandated minimum-staffing ratios on nursing hours of care and skill mix in adult medical and surgical and definitive-observation units in a convenience sample of 68 acute hospitals participating in the California Nursing Outcomes Coalition project. Findings, stratified by unit type and hospital size, reveal expected changes as hospitals made observable efforts toward regulatory compliance. These data cannot affirm compliance with ratios per shift, per unit, at all times; however, they give evidence of overall compliance. Assessment of the impacts of the mandated ratios on two common indicators of patient care quality, the incidence of patient falls and the prevalence of pressure ulcers, did not reveal significant changes despite research linking nurse staffing with these measures. These findings contribute to understanding unit level impacts of regulatory staffing mandates and the preliminary effect of this legislation on core quality of care indicators.

Accidental Falls↗

Creating and analyzing a statewide nursing quality measurement database.

PURPOSE: To explicate a replicable methodology for designing and analyzing a large ongoing reliable and valid quality database to examine nurse staffing and patient care outcomes in acute care hospitals. DESIGN: Prospective nurse staffing, process of care, and patient outcomes data based on the American Nurses Association's (ANA) nursing quality indicators collected from a voluntary convenience sample at acute care hospitals in California with rolling-site accrual. METHODS: The ongoing CalNOC database development and repository project, the largest statewide effort of its kind in the United States (US), currently includes data on hospital nurse staffing, patient days, patient falls, pressure ulcer and restraint prevalence, registered nurse (RN) education, and patients' perceptions of satisfaction with care. FINDINGS: As of May 2003, the CalNOC database contained staffing data from 842 units in 134 acute care hospitals over 20 quarters from April 1998 to March 2003. The repository also included clinical outcome information on 34,262 reported patient falls, pressure ulcer prevalence data on 41,982 patient observations, and service outcome data on patient satisfaction from 26,461 patients. Participating hospitals receive quarterly reports allowing them to benchmark their own performance against other participating hospitals. CalNOC methods have been adapted and replicated by both the Military Nursing Outcomes Database and VA Nursing Outcomes Database projects, and CalNOC nursing-sensitive measures have been endorsed by the National Quality Forum. CONCLUSIONS: This working model for collecting reliable and valid data was derived from multiple hospitals across California. The data are the basis for studies to contribute to the development of evidence-based public policy, and for ongoing study of the effects of nurse staffing on clinical and service outcomes.

Accidental Falls↗

Body mass index determines evoked growth hormone (GH) responsiveness in normal healthy male subjects: diagnostic caveat for adult GH deficiency.

GH secretion is decreased in obese subjects, whereas age-adjusted IGF-I concentrations are normal. This study was undertaken to rigorously delineate the extent of obesity [elevated body mass index (BMI)] associated with decreased somatotrope secretory function resulting in apparent adult GH deficiency. The peak GH response evoked by combined arginine (0.5 g/kg infused iv over 30 min) and GHRH (1 microg/kg iv bolus) was measured in 59 healthy male subjects with BMIs ranging from normal to obese. BMI correlated with the peak evoked GH response (Pearson r = -0.59; P < 0.01), and the percentage of subjects exhibiting an abnormal evoked GH response, i.e. less than 9 ng/ml, increased from 5% for those with a BMI less than 25 (normal), to 13% for those with a BMI of 25-26.9 (mildly overweight), to 33% for those with a BMI of 27-29.9 (moderately overweight), and to 64% for those with a BMI of 30 or more (obese). BMI is a major determinant of evoked adult GH response to provocative testing. The diagnosis of adult GH deficiency using the evoked GH response in patients with even mild BMI elevation does not accurately distinguish normal from deficient responses and may result in the erroneous classification of obese subjects as GH deficient and thus unnecessarily requiring GH replacement.

Adult↗