Effect of the interval between pregnancies on perinatal outcomes. (1/535)

BACKGROUND: A short interval between pregnancies has been associated with adverse perinatal outcomes. Whether that association is due to confounding by other risk factors, such as maternal age, socioeconomic status, and reproductive history, is unknown. METHODS: We evaluated the interpregnancy interval in relation to low birth weight, preterm birth, and small size for gestational age by analyzing data from the birth certificates of 173,205 singleton infants born alive to multiparous mothers in Utah from 1989 to 1996. RESULTS: Infants conceived 18 to 23 months after a previous live birth had the lowest risks of adverse perinatal outcomes; shorter and longer interpregnancy intervals were associated with higher risks. These associations persisted when the data were stratified according to and controlled for 16 biologic, sociodemographic, and behavioral risk factors. As compared with infants conceived 18 to 23 months after a live birth, infants conceived less than 6 months after a live birth had odds ratios of 1.4 (95 percent confidence interval, 1.3 to 1.6) for low birth weight, 1.4 (95 percent confidence interval, 1.3 to 1.5) for preterm birth, and 1.3 (95 percent confidence interval, 1.2 to 1.4) for small size for gestational age; infants conceived 120 months or more after a live birth had odds ratios of 2.0 (95 percent confidence interval, 1.7 to 2.4);1.5 (95 percent confidence interval, 1.3 to 1.7), and 1.8 (95 percent confidence interval, 1.6 to 2.0) for these three adverse outcomes, respectively, when we controlled for all 16 risk factors with logistic regression. CONCLUSIONS: The optimal interpregnancy interval for preventing adverse perinatal outcomes is 18 to 23 months.  (+info)

The impact of a multidisciplinary approach on caring for ventilator-dependent patients. (2/535)

OBJECTIVE: To determine the clinical and financial outcomes of a highly structured multidisciplinary care model for patients in an intensive care unit (ICU) who require prolonged mechanical ventilation. The structured model outcomes (protocol group) are compared with the preprotocol outcomes. DESIGN: Descriptive study with financial analysis. SETTING: A twelve-bed medical-surgical ICU in a non-teaching tertiary referral center in Ogden, Utah. STUDY PARTICIPANTS: During a 54 month period, 469 consecutive intensive care patients requiring mechanical ventilation for longer than 72 hours who did not meet exclusion criteria were studied. INTERVENTIONS: A multidisciplinary team was formed to coordinate the care of ventilator-dependent patients. Care was integrated by daily collaborative bedside rounds, monthly meetings, and implementation of numerous guidelines and protocols. Patients were followed from the time of ICU admission until the day of hospital discharge. MAIN OUTCOME MEASURES: Patients were assigned APACHE II scores on admission to the ICU, and were divided into eight diagnostic categories. ICU length of stay, hospital length of stay, costs, charges, reimbursement, and in-hospital mortality were measured. RESULTS: Mortality in the preprotocol and protocol group, after adjustment for APACHE II scores, remained statistically unchanged (21-23%). After we implemented the new care model, we demonstrated significant decreases in the mean survivor's ICU length of stay (19.8 days to 14.7 days, P= 0.001), hospital length of stay (34.6 days to 25.9 days, P=0.001), charges (US$102500 to US$78500, P=0.001), and costs (US$71900 to US$58000, P=0.001). CONCLUSIONS: Implementation of a structured multidisciplinary care model to care for a heterogeneous population of ventilator-dependent ICU patients was associated with significant reductions in ICU and hospital lengths of stay, charges, and costs. Mortality rates were unaffected.  (+info)

Developments in total quality management in the United States: the Intermountain Health Care perspective. (3/535)

In summary our purpose has been to evaluate quality in the following terms. Best process of care--narrowing the variation of care decisions, working towards the best method. Best clinical outcome--decreased morbidity ond mortality. Best patient satisfaction--both for clinical outcome and the process of care. Best value--best value at the lowest cost. At Intermountain Health Care we believe that the best way to achieve the best quality improvement in a health care system is to involve all of the participants--patients, providers, and systems--in employing the principles of total quality management. Patient involvement--in prevention; participating in best care process through education and utilisation; in evaluating functional status before, during, and after intervention; in satisfaction; in clinical outcome and follow up with providers. Provider involvement--in planning, implementing, analysing, and educating; in defining guidelines; in reassessing and defining guidelines; in reassessing and continually modifying the care map, always striving for "best care." System involvement--in providing structure and mechanisms, support staff, and information systems and being willing to focus on quality as a part of its mission. An American philosopher, George Santayana, once said: "What we call the contagious force of an idea is really the force of the people who have embraced it." It will be up to all of us collectively to become the force behind moving quality management principles into the forefront of patient care methodology and ensuring that quality remains as the guiding principle of health care delivery in the future.  (+info)

Empiric examination of physician behavior in a changing healthcare market. (4/535)

We hypothesized that, in the current healthcare environment, medical providers have strong economic incentives to introduce new technology and treat patients more extensively. We examined physician reimbursement for medical procedures in Utah in the early 1990s, a period of increasing utilization of managed care methods, using a cross-section time series and a supply side model to analyze how physician behavior changed during this period of time. Our findings suggest that physicians have acted to maintain their revenue by requesting reimbursement for more procedures as the reimbursement level per procedure decreased. We conclude that increased volatility in reimbursement levels and increased adjudication pressure from payers provide signals to physicians to act strategically to protect their revenue stream.  (+info)

Drinking water arsenic in Utah: A cohort mortality study. (5/535)

The association of drinking water arsenic and mortality outcome was investigated in a cohort of residents from Millard County, Utah. Median drinking water arsenic concentrations for selected study towns ranged from 14 to 166 ppb and were from public and private samples collected and analyzed under the auspices of the State of Utah Department of Environmental Quality, Division of Drinking Water. Cohort members were assembled using historical documents of the Church of Jesus Christ of Latter-day Saints. Standard mortality ratios (SMRs) were calculated. Using residence history and median drinking water arsenic concentration, a matrix for cumulative arsenic exposure was created. Without regard to specific exposure levels, statistically significant findings include increased mortality from hypertensive heart disease [SMR = 2.20; 95% confidence interval (CI), 1.36-3.36], nephritis and nephrosis (SMR = 1.72; CI, 1.13-2.50), and prostate cancer (SMR = 1.45; CI, 1.07-1. 91) among cohort males. Among cohort females, statistically significant increased mortality was found for hypertensive heart disease (SMR = 1.73; CI, 1.11-2.58) and for the category of all other heart disease, which includes pulmonary heart disease, pericarditis, and other diseases of the pericardium (SMR = 1.43; CI, 1.11-1.80). SMR analysis by low, medium, and high arsenic exposure groups hinted at a dose relationship for prostate cancer. Although the SMRs by exposure category were elevated for hypertensive heart disease for both males and females, the increases were not sequential from low to high groups. Because the relationship between health effects and exposure to drinking water arsenic is not well established in U.S. populations, further evaluation of effects in low-exposure populations is warranted.  (+info)

Gracilibacillus gen. nov., with description of Gracilibacillus halotolerans gen. nov., sp. nov.; transfer of Bacillus dipsosauri to Gracilibacillus dipsosauri comb. nov., and Bacillus salexigens to the genus Salibacillus gen. nov., as Salibacillus salexigens comb. nov. (6/535)

A Gram-positive, extremely halotolerant bacterium was isolated from the Great Salt Lake, Utah, USA. The strain, designated NNT (= DSM 11805T), was strictly aerobic, rod-shaped, motile by peritrichous flagella and spore-forming. Strain NNT grew at salinities of 0-20% (w/v) NaCl. A distinctive feature of strain NNT was its optimal growth in salt-free medium. The polar lipid pattern of strain NNT consisted of phosphatidyl glycerol, diphosphatidyl glycerol and two phospholipids of unknown structure. The G + C content of its DNA was 38 mol%. The morphological, physiological and, particularly, the 16S rDNA sequence data, showed that strain NNT was associated with 'Bacillus group 1'. However, the organisms showing the greatest degree of sequence similarity to strain NNT were members of the genus Halobacillus and the species Marinococcus albus, Virgibacillus pantothenticus, Bacillus salexigens and Bacillus dipsosauri. On the basis of chemotaxonomic data, strain NNT was shown to be chemically most similar to B. salexigens and B. dipsosauri, with the greatest degree of similarity being shown to the latter organism. This was consistent with the 16S rDNA sequence data. Members of the genus Halobacillus comprise a chemically distinct group and can easily be distinguished from all other organisms of 'Bacillus group 1'. On the basis of the 16S rDNA data, chemotaxonomy and the physiology of strain NNT, it is proposed that this organism is a member of a new species, within a new genus, for which the name Gracilibacillus halotolerans is proposed. It is also proposed that B. dipsosauri be transferred to this genus as Gracilibacillus dipsosauri comb. nov. and that B. salexigens be transferred to the genus Salibacillus gen. nov., as Salibacillus salexigens comb. nov. Finally, additional data is provided to support the transfer of Bacillus pantothenticus to the genus Virgibacillus, as Virgibacillus pantothenticus Heyndrickx et al. (1998).  (+info)

A genome-wide search for type 2 diabetes susceptibility genes in Utah Caucasians. (7/535)

Considerable evidence supports a major inherited component of type 2 diabetes. We initially conducted a genome-wide scan with 440 microsatellite markers at 10-cM intervals in 19 multigenerational families of Northern European ancestry with at least two diabetic siblings. Initial two-point analyses of these families directed marker typing of 23 additional families. Subsequently, all available marker data on the total of 42 families were analyzed using both parametric and nonparametric multipoint methods to test for linkage to type 2 diabetes. One locus on chromosome 1q21-1q23 met genome-wide criteria for significant linkage under a model of recessive inheritance with a common diabetes allele (logarithm of odds [LOD] = 4.295). Both pedigree-based nonparametric linkage (NPL) analysis and affected sib pair (MAPMAKER/SIBS) nonparametric methods also showed the highest genome-wide scores at this region, near markers CRP and APOA2, but failed to meet levels of genome-wide significance. The risk of type 2 diabetes to siblings of a diabetic person when compared with the population (lambdaS) was estimated from MAPMAKER/SIBS to be 2.8 in these 42 families. Simulation studies using study data confirmed a genome-wide significance level of P<0.05 (95% CI 0.005-0.0466). However, analysis of 20 similarly ascertained but smaller families failed to confirm this linkage. The LOD score with 50% heterogeneity for all 62 families considered together was only 2.25, with an estimated lambdaS of 1.87. Our data suggest a novel diabetes susceptibility locus near APOA2 on chromosome 1 in a region with many transcribed genes.  (+info)

Calculating the interindividual geometric standard deviation for use in the integrated exposure uptake biokinetic model for lead in children. (8/535)

The integrated exposure uptake biokinetic (IEUBK) model, recommended for use by the U.S. Environmental Protection Agency at residential Superfund sites to predict potential risks to children from lead exposure and to establish lead remediation levels, requires an interindividual geometric standard deviation (GSDi) as an essential input parameter. The GSDi quantifies the variability of blood lead concentrations for children exposed to similar environmental concentrations of lead. Estimates of potential risks are directly related to the GSDi, and therefore the GSDi directly impacts the scope of remediation at Superfund sites. Site-specific GSDi can be calculated for sites where blood lead and environmental lead have been measured. This paper uses data from blood and environmental lead studies conducted at the Bingham Creek and Sandy, Utah, Superfund sites to calculate GSDi using regression modeling, box modeling, and structural equation modeling. GSDis were calculated using various methods for treating values below the analytical method detection and quantitation limits. Treatment of nonquantifiable blood lead concentrations affected the GSDi more than the statistical method used to calculate the GSDi. For any given treatment, the different statistical methods produced similar GSDis. Because of the uncertainties associated with data in the blood lead studies, we recommend that a range of GSDis be used when analyzing site-specific risks associated with exposure to environmental lead instead of a single estimate. Because the different statistical methods produce similar GSDis, we recommend a simple procedure to calculate site-specific GSDi from a scientifically sound blood and environmental lead study.  (+info)