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[Groupamatic 360 C1 and automated blood donor processing in a transfusion center].

Automation of donor management flow path is controlled by: --a 3 slip "port a punch" card, --the groupamatic unit with a result sorted out on punch paper tape, --the management computer off line connected to groupamatic. Data tracking at blood collection time is made by punching a card with the donor card used as a master card. Groupamatic performs: --a standard blood grouping with one run for registered donors and two runs for new donors, --a phenotyping with two runs, --a screening of irregular antibodies. Themanagement computer checks the correlation between the data of the two runs or the data of a single run and that of previous file. It updates the data resident in the central file and prints out: --the controls of the different blood group for the red cell panel, --The listing of error messages, --The listing of emergency call up, --The listing of collected blood units when arrived at the blood center, with quantitative and qualitative information such as: number of blood, units collected, donor addresses, etc., --Statistics, --Donor cards, --Diplomas.

Autoanalysis↗

[A new tool for retrieving clinical data from various sources].

BACKGROUND: A doctor's tool for extracting clinical data from various sources on groups of hospital patients into one file has been in demand. For this purpose we evaluated Qlikview. MATERIAL AND METHODS: Based on clinical information required by two cardiologists, an IT specialist with thorough knowledge of the hospital's data system (www.dips.no) used 30 days to assemble one Qlikview file. Data was also assembled from a pre-hospital ambulance system. RESULTS: The 13 Mb Qlikview file held various information on 12430 patients admitted to the cardiac unit 26,287 times over the last 21 years. Included were also 530,912 clinical laboratory analyses from these patients during the past five years. Some information required by the cardiologists was inaccessible due to lack of coding or data storage. Some databases could not export their data. Others were encrypted by the software company. A major part of the required data could be extracted to Qlikview. Searches went fast in spite of the huge amount of data. Qlikview could assemble clinical information to doctors from different data systems. Doctors from different hospitals could share and further refine empty Qlikview files for their own use. When the file is assembled, doctors can, on their own, search for answers to constantly changing clinical questions, also at odd hours.

Cardiology Service, Hospital↗

Variations in the accuracy of obstetric procedures and diagnoses on birth records in Washington State, 1989.

The authors abstracted a sample of 7,536 hospital medical records to validate the accuracy of the coding of obstetric information on 1) birth certificates, 2) a statewide computerized hospital discharge abstract data system, and 3) a linked file merging birth certificates and the hospital abstract data for Washington State deliveries occurring in 1989. Measures of accuracy of coding of delivery method and obstetric procedures varied greatly among the 23 hospitals that participated in the study. Computerized hospital discharge data were generally more complete and accurate than were birth certificate data. The linked file was more likely to identify obstetric procedures than was either source alone. For example, only 84.1% of cesarean deliveries noted in the hospital charts were identified on birth certificates (range among hospitals, 37-100%). Using the linked file, the authors identified 99.8% of cesarean deliveries (range, 97-100%). Linked birth certificate-hospital abstract files may become an excellent source of data for epidemiologic and health care studies; however, further training of medical record personnel and standardization of coding are needed to improve the quality of computerized data on obstetric events.

Birth Certificates↗

Relationship between antidepressant medication treatment and suicide in adolescents.

CONTEXT: A decade of increasing antidepressant medication treatment for adolescents and corresponding declines in suicide rates raise the possibility that antidepressants have helped prevent youth suicide. OBJECTIVE: To evaluate the relationship between regional changes in antidepressant medication treatment and suicide in adolescents from 1990 to 2000. DESIGN: Analysis of prescription data from the nation's largest pharmacy benefit management organization, national suicide mortality files, regional sociodemographic data from the 1990 and 2000 US Census, and regional data on physicians per capita. PARTICIPANTS: Youth aged 10 to 19 years who filled a prescription for antidepressant medication and same-aged completed suicides from 588 three-digit ZIP code regions in the United States. MAIN OUTCOME MEASURES: The relationship between regional change in antidepressant medication treatment and suicide rate stratified by sex, age group, regional median income, and regional racial composition. RESULTS: There was a significant adjusted negative relationship between regional change in antidepressant medication treatment and suicide during the study period. A 1% increase in adolescent use of antidepressants was associated with a decrease of 0.23 suicide per 100 000 adolescents per year (beta = -.023, t = -5.14, P<.001). In stratified adjusted analyses, significant inverse relationships were present among males (beta = -.032, t = -3.81, P<.001), youth aged 15 to 19 years (beta = -.029, t = -3.43, P<.001), and regions with lower family median incomes (beta = -.023, t = -3.73, P<.001). CONCLUSIONS: An inverse relationship between regional change in use of antidepressants and suicide raises the possibility of a role for using antidepressant treatment in youth suicide prevention efforts, especially for males, older adolescents, and adolescents who reside in lower-income regions.

Adolescent↗

Behavioral correlates for spike-4, spike-9, and 4-9/9-4 MMPI profiles in students at a university mental health center.

Numerous investigators have noted that spike-4, spike-9, and 4-9/9-4 profiles occur with an unusually high frequency in college students. Five hundred and fifty files of college students who requested outpatient psychiatric services were reviewed, and the data from 47 files were extracted in which the student patient had a clinically elevated spike-4, spike-9, or 4-9/9-4 profile. Numerous significant psychopathological behavioral correlates were found for each profile type, which supports the contention that these profile types are reflective of significant psychopathology and are not examples of benign deviations of a particular sample from the original normative group.

Adolescent↗

Microcomputer-based data acquisition system for clinical research.

We have described a computerized data acquisition system for clinical investigation that can record over fifty physiologic variables from up to twenty-four electronic monitors. The information is acquired by a personal computer using RS-232C serial communications and analog-to-digital conversion. In its present configuration the system records information from a Spacelabs 500 series physiologic monitor, Hewlett-Packard physiologic monitor with the Careport computer interface, SARA mass spectrometer, Nellcor pulse oximeter, Neurotrac processed EEG, Lawrence cardiac output monitor, Hewlett-Packard capnometer, and Bourns spirometer. The software can be easily modified to accommodate other physiologic monitors. The system records parameter or waveform information and writes the data into a file that can be accessed by commercially available graphical and statistical packages. The data acquisition system is easy to use, transportable, and inexpensive.

Humans↗

Out-of-pocket health spending by poor and near-poor elderly Medicare beneficiaries.

OBJECTIVE: To estimate out-of-pocket health care spending by lower-income Medicare beneficiaries, and to examine spending variations between those who receive Medicaid assistance and those who do not receive such aid. DATA SOURCES AND COLLECTION: 1993 Medicare Current Beneficiary Survey (MCBS) Cost and Use files, supplemented with data from the Bureau of the Census (Current Population Survey); the Congressional Budget Office; the Health Care Financing Administration, Office of the Actuary (National Health Accounts); and the Social Security Administration. STUDY DESIGN: We analyzed out-of-pocket spending through a Medicare Benefits Simulation model, which projects out-of-pocket health care spending from the 1993 MCBS to 1997. Out-of-pocket health care spending is defined to include Medicare deductibles and coinsurance; premiums for private insurance, Medicare Part B, and Medicare HMOs; payments for non-covered goods and services; and balance billing by physicians. It excludes the costs of home care and nursing facility services, as well as indirect tax payments toward health care financing. PRINCIPAL FINDINGS: Almost 60 percent of beneficiaries with incomes below the poverty level did not receive Medicaid assistance in 1997. We estimate that these beneficiaries spent, on average, about half their income out-of-pocket for health care, whether they were enrolled in a Medicare HMO or in the traditional fee-for-service program. The 75 percent of beneficiaries with incomes between 100 and 125 percent of the poverty level who were not enrolled in Medicaid spent an estimated 30 percent of their income out-of-pocket on health care if they were in the traditional program and about 23 percent of their income if they were enrolled in a Medicare HMO. Average out-of-pocket spending among fee-for-service beneficiaries varied depending on whether beneficiaries had Medigap policies, employer-provided supplemental insurance, or no supplemental coverage. Those without supplemental coverage spent more on health care goods and services, but spent less than the other groups on prescription drugs and dental care-services not covered by Medicare. CONCLUSIONS: While Medicaid provides substantial protection for some lower-income Medicare beneficiaries, out-of-pocket health care spending continues to be a substantial burden for most of this population. Medicare reform discussions that focus on shifting more costs to beneficiaries should take into account the dramatic costs of health care already faced by this vulnerable population.

Aged↗

Infant mortality statistics from the 1998 period linked birth/infant death data set.

OBJECTIVES: This report presents 1998 period infant mortality statistics from the linked birth/infant death data set (linked file) by a variety of maternal and infant characteristics. METHODS: Descriptive tabulations of data are presented. RESULTS: In general, mortality rates were lowest for infants born to Cuban mothers (3.6 per 1,000), Central and South American (5.3), Asian or Pacific Islander (5.5), Mexican (5.6), and non-Hispanic white mothers (6.0), followed by Puerto Rican (7.8), American Indian (9.3), and black mothers (13.8). Infant mortality rates (IMRs) were higher for those infants whose mothers had no prenatal care, were teenagers, had 9-11 years of education, were unmarried, or smoked during pregnancy. Infant mortality was also higher for male infants, multiple births, and infants born preterm or at low birthweight. In 1998, 65 percent of all infant deaths occurred to the 7.6 percent of infants born at low birthweight. The three leading causes of infant death--Congenital anomalies, Disorders relating to short gestation and unspecified low birthweight (low birthweight), and Sudden infant death syndrome (SIDS)--taken together accounted for 46 percent of all infant deaths in the United States in 1998. Cause-specific mortality rates varied considerably by race and Hispanic origin. For infants of black mothers, the IMR for low birthweight was nearly four times that for white mothers. For infants of American Indian mothers, the SIDS rate was 3.8 times that for Asian or Pacific Islander (API) mothers. For infants of Hispanic mothers, the SIDS rate was 44 percent lower than that for non-Hispanic white mothers.

Birth Weight↗

Proxy reporting in the National Population Health Survey.

OBJECTIVES: This article examines the extent of proxy reporting in the National Population Health Survey (NPHS). It also explores associations between proxy reporting status and the prevalence of selected health problems, and investigates the relationship between changes in proxy reporting status and two-year incidence of health problems. DATA SOURCE: Cross-sectional results are based on the 1996/97 NPHS Health file and General file. Longitudinal results are based on 1994/95 respondents who were still residing in households in 1996/97. ANALYTICAL TECHNIQUES: The extent of proxy reporting in the various NPHS files was computed. Prevalence estimates of selected health problems from the two 1996/97 cross-sectional files were compared. Multivariate analyses were used to estimate associations between proxy reporting status and health problems. MAIN RESULTS: For several health conditions, prevalence estimates based on the 1996/97 cross-sectional Health file (where proxy reporting was less common) were significantly higher than estimates derived from the General file. Individuals whose data were proxy-reported in 1994/95 and self-reported in 1996/97 had higher odds of reporting new cases of certain health conditions.

Adolescent↗

Infant mortality statistics from the 1999 period linked birth/infant death data set.

OBJECTIVES: This report presents 1999 period infant mortality statistics from the linked birth/infant death data set (linked file) by a variety of maternal and infant characteristics. METHODS: Descriptive tabulations of data are presented. RESULTS: In general, mortality rates were lowest for infants born to Chinese and Japanese mothers (2.9 and 3.4 per 1,000, respectively). Infants of Cuban, Central and South American, Mexican, and non-Hispanic white mothers had low rates, while rates were higher for infants of Puerto Rican and highest for non-Hispanic black mothers (13.9). Filipino mothers also had low rates. Rates were high for infants of Hawaiian and American Indian mothers. Infant mortality rates were higher for those infants whose mothers had no prenatal care, were teenagers, had 9-11 years of education, were unmarried, or smoked during pregnancy. Infant mortality was also higher for male infants, multiple births, and infants born preterm or at low birthweight. The three leading causes of infant death--Congenital malformations, low birthweight, and Sudden infant death syndrome (SIDS)--taken together accounted for 45 percent all infant deaths in the United States in 1999. Cause-specific mortality rates varied considerably by race and Hispanic origin. For infants of black mothers, the infant mortality rate for low birthweight was four times that for white mothers. For infants of American Indian mothers, the SIDS rate was 2.4 times that for non-Hispanic white mothers. SIDS rates for infants of Hispanic and Asian or Pacific Islander mothers, were 40-50 percent lower than those for non-Hispanic white mothers.

Birth Certificates↗

Infant mortality statistics from the 2000 period linked birth/infant death data set.

OBJECTIVES: This report presents the 2000 period infant mortality statistics from the linked birth/infant death data set (linked file) by a variety of maternal and infant characteristics. METHODS: Descriptive tabulations of data are presented and interpreted. RESULTS: Infant mortality rates ranged from 3.5 per 1,000 live births for Chinese mothers to 13.5 for black mothers. Among Hispanics, rates ranged from 4.5 for Cuban mothers to 8.2 for Puerto Rican mothers. Infant mortality rates were higher for those infants whose mothers had no prenatal care, were teenagers, had 9-11 years of education, were unmarried, or smoked during pregnancy. Infant mortality was also higher for male infants, multiple births, and infants born preterm or at low birthweight. The three leading causes of infant death--Congenital malformations, low birthweight, and Sudden infant death syndrome (SIDS)--taken together accounted for 45 percent of all infant deaths in the United States in 2000. Cause-specific mortality rates varied considerably by race and Hispanic origin. For infants of black mothers, the infant mortality rate for low birthweight was nearly four times that for white mothers. For infants of black and American Indian mothers, the SIDS rates were 2.4 and 2.3 times that for non-Hispanic white mothers.

Birth Weight↗

Infant mortality statistics from the 2001 period linked birth/infant death data set.

OBJECTIVES: This report presents 2001 period infant mortality statistics from the linked birth/infant death data set (linked file) by a variety of maternal and infant characteristics. METHODS: Descriptive tabulations of data are presented and interpreted. RESULTS: Infant mortality rates ranged from 3.2 per 1,000 live births for Chinese mothers to 13.3 for black mothers. Among Hispanics, rates ranged from 4.2 for Cuban mothers to 8.5 for Puerto Rican mothers. Infant mortality rates were higher for those infants whose mothers were born in the 50 States and the District of Columbia, were unmarried, or smoked during pregnancy. Infant mortality was also higher for male infants, multiple births, and infants born preterm or at low birthweight. The three leading causes of infant death--Congenital malformations, low birthweight, and Sudden infant death syndrome (SIDS)--taken together accounted for 44 percent of all infant deaths. Cause-specific mortality rates varied considerably by race and Hispanic origin. For infants of black mothers, the cause-specific infant mortality rate for low birthweight was nearly four times that for infants of white mothers. Between 1995 and 2001, the overall infant mortality rate declined by 10.5 percent; significant declines ranged from 8.2 percent for infants of non-Hispanic black mothers to 14.3 percent for infants of Hispanic mothers. The SIDS rate declined by 11 percent from 2000 to 2001. For infants of black and American Indian mothers, the SIDS rates were 2.2 and 2.8 times that for non-Hispanic white mothers.

Adult↗

Using word processor text files as an active bibliography.

Data base systems for microcomputers are generally available. Most are reasonable priced and easy to use. Their disadvantages are restrictions placed on the amount of data stored in a single field, and the output format--usually tabular or label in style. This article describes the use of word processor text files as a data base allowing search and retrieval, with special reference to abstracting and storage of literature citations. Size of text entry and ultimate output format are extremely flexible using this method.

Information Systems↗

The UCSC Genome Browser Database.

The University of California Santa Cruz (UCSC) Genome Browser Database is an up to date source for genome sequence data integrated with a large collection of related annotations. The database is optimized to support fast interactive performance with the web-based UCSC Genome Browser, a tool built on top of the database for rapid visualization and querying of the data at many levels. The annotations for a given genome are displayed in the browser as a series of tracks aligned with the genomic sequence. Sequence data and annotations may also be viewed in a text-based tabular format or downloaded as tab-delimited flat files. The Genome Browser Database, browsing tools and downloadable data files can all be found on the UCSC Genome Bioinformatics website (http://genome.ucsc.edu), which also contains links to documentation and related technical information.

Animals↗

ProteomeCommons.org IO Framework: reading and writing multiple proteomics data formats.

MOTIVATION: Effective use of proteomics data, specifically mass spectrometry data, relies on the ability to read and write the many mass spectrometer file formats. Even with mass spectrometer vendor-specific libraries and vendor-neutral file formats, such as mzXML and mzData it can be difficult to extract raw data files in a form suitable for batch processing and basic research. Introduced here are the ProteomeCommons.org Input and Output Framework, abbreviated to IO Framework, which is designed to abstractly represent mass spectrometry data. This project is a public, open-source, free-to-use framework that supports most of the mass spectrometry data formats, including current formats, legacy formats and proprietary formats that require a vendor-specific library in order to operate. The IO Framework includes an on-line tool for non-programmers and a set of libraries that developers may use to convert between various proteomics file formats. AVAILABILITY: The current source-code and documentation for the ProteomeCommons.org IO Framework is freely available at http://www.proteomecommons.org/current/531/

Algorithms↗

The effects of different image file formats and image-analysis software programs on dental radiometric digital evaluations.

OBJECTIVES: To determine if variations in radiodensity data are introduced by lossy Joint Photographic Experts Group (JPEG) compression and/or the use of three software programs. METHODS: An occlusal film with an aluminium step wedge was exposed, processed and digitized under standard conditions. Before the image was saved, the coordinates and the gray-scale value for each pixel in a 20 x 20 pixel area near the middle of the thickest step were recorded. These pixel coordinates and gray-scale values served as Truth 1. In addition, a digital simulated-radiographic image with assigned gray-scale values for each pixel was created and served as Truth 2. The digital data for the scanned radiograph and the simulated radiograph were saved as Tagged Image File Format (TIFF) and lossy JPEG files. Each file was opened with three software programs and the gray-scale values of homologous pixels were recorded. For these pixels in each image type, the mean gray-scale values and standard deviations were calculated. The pixel gray-scale values for each homologous pixel were also individually compared. RESULTS: When the TIFF images were opened with the three software programs, one program resulted in gray-scale values that were not concordant with truth. All JPEG images resulted in gray-scale values that were not concordant with truth. CONCLUSIONS: One software program added a column of 0s to data files. Lossy JPEG compression introduced potentially deleterious variations to radiodensity data, and at least two of the software programs performed JPEG image decompression differently.

Absorptiometry, Photon↗

Fast and efficient compression of floating-point data.

Large scale scientific simulation codes typically run on a cluster of CPUs that write/read time steps to/from a single file system. As data sets are constantly growing in size, this increasingly leads to I/O bottlenecks. When the rate at which data is produced exceeds the available I/O bandwidth, the simulation stalls and the CPUs are idle. Data compression can alleviate this problem by using some CPU cycles to reduce the amount of data needed to be transfered. Most compression schemes, however, are designed to operate offline and seek to maximize compression, not throughput. Furthermore, they often require quantizing floating-point values onto a uniform integer grid, which disqualifies their use in applications where exact values must be retained. We propose a simple scheme for lossless, online compression of floating-point data that transparently integrates into the I/O of many applications. A plug-in scheme for data-dependent prediction makes our scheme applicable to a wide variety of data used in visualization, such as unstructured meshes, point sets, images, and voxel grids. We achieve state-of-the-art compression rates and speeds, the latter in part due to an improved entropy coder. We demonstrate that this significantly accelerates I/O throughput in real simulation runs. Unlike previous schemes, our method also adapts well to variable-precision floating-point and integer data.

Journal Article↗

Creating notifications tailored for individual workers by using a database: a conceptual framework and its application.

Although prevention strategies to assure good mental health in the workplace have become important, worker notification in studies using psychometric tests has rarely been discussed. Until now it has been difficult to prepare a large number of notifications that are tailored well for individual workers. We have developed a system to create notifications that explain the results for individual workers in plain language using a relational database (RDB). First, scores for each test were divided into categories and the workers' data was classified. Then, explanations were written for each category. RDB software read component files into a database file, integrated all data, and printed out notifications. After the system was developed, we realized its high potential for use in occupational health care, as well as in many other fields. We also report an example of its application.

Databases, Factual↗