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At least 145 records · Page 8Linked to original sources

Lumbar puncture ordering and results in the pediatric population: a promising data source for surveillance systems.

BACKGROUND: The Centers for Disease Control and Prevention is incorporating laboratory data into real-time surveillance systems. When normal patterns of laboratory test orders and results are modeled, aberrations can be detected. Because many test orders are available electronically well before results, atypical patterns of test ordering may signal outbreaks. OBJECTIVES: The authors sought to characterize baseline patterns in the ordering and early results of lumbar punctures, motivated by the possibility of using these data for real-time surveillance for early detection of meningitis or encephalitis outbreaks. METHODS: Retrospective cohorts of pediatric emergency department patients at a single hospital (1993-2003) and from the National Hospital and Ambulatory Medical Care Survey (1992-2000) were used for analysis. RESULTS: Test ordering exhibits seasonal patterns, with monthly peaks in January and August (p < 0.0001). For the hospital cohort, the rate of cerebrospinal fluid pleocytosis exhibits seasonal patterns (p < 0.0001), with a peak from August to October. This is strongly associated with the rate and pattern of clinical neurologic disease (p < 0.0001). A long-term secular decline in daily test ordering is evident, dropping from 5.3 to 2.9 in the hospital sample, and from 371.8 to 185.3 in the national sample (p < 0.001). The long-term rate of pleocytosis has declined (p < 0.0001), though the yield of testing for pleocytosis has improved (p = 0.0104). CONCLUSIONS: Laboratory test patterns correspond with those of clinical disease and are a promising source of surveillance data. Using such data for real-time monitoring requires specific adjustments for patient age, periodicities, and secular trends.

Adolescent↗

Injury and illness in the American workplace: a comparison of data sources.

Setting priorities for workplace health and safety research depends upon accurate and reliable injury and illness data. All occupational health databases have limitations when used to summarize the national scope of workplace hazards. The comparison of data from multiple sources may produce more credible estimates of the leading occupational injuries and illnesses. The purpose of this paper is to describe the strengths and weaknesses of six data collection systems that record occupational injuries and illnesses on a national level and to compare the leading estimates from these systems for 1990. The six systems are: 1) National Traumatic Occupational Fatalities database, 2) the Bureau of Labor Statistics Census of Fatal Occupational Injuries, 3) The Bureau of Labor Statistics Annual Survey data, 4) a large workers' compensation database, 5) the National Council on Compensation Insurance data, and 6) The National Electronic Injury Surveillance System. Occupational injuries, as defined herein, predominate over illnesses in terms of the number of cases and the overall costs. Databases that provide information on the antecedents of injuries suggest how these injuries may be prevented and warrant more attention and refinement.

Accidents, Occupational↗

Path-based systems to guide scientists in the maze of biological data sources.

Fueled by novel technologies capable of producing massive amounts of data for a single experiment, scientists are faced with an explosion of information which must be rapidly analyzed and combined with other data to form hypotheses and create knowledge. Today, numerous biological questions can be answered without entering a wet lab. Scientific protocols designed to answer these questions can be run entirely on a computer. Biological resources are often complementary, focused on different objects and reflecting various experts' points of view. Exploiting the richness and diversity of these resources is crucial for scientists. However, with the increase of resources, scientists have to face the problem of selecting sources and tools when interpreting their data. In this paper, we analyze the way in which biologists express and implement scientific protocols, and we identify the requirements for a system which can guide scientists in constructing protocols to answer new biological questions. We present two such systems, BioNavigation and BioGuide dedicated to help scientists select resources by following suitable paths within the growing network of interconnected biological resources.

Cell Physiological Phenomena↗

Estimation of the prevalence of diagnosed diabetes from primary care and secondary care source data: comparison of record linkage with capture-recapture analysis.

STUDY OBJECTIVE: To compare multiple source linkage and capture-recapture analysis in determining the current age and gender specific prevalence of type 1 and type 2 diabetes in a UK white population. To assess whole population trends in diabetes prevalence and treatment by comparison with previous studies. DESIGN: Data were obtained from hospital sources and all 74 general practices in the study population. Analyses were carried out both by record linkage and by use of a two source capture-recapture model to correct for incomplete ascertainment. SETTING: County of Clwyd, North Wales: total population 418,200. MAIN RESULTS: By record linkage the age adjusted prevalence of all diabetes was 2.04 (95% confidence intervals 2.00 to 2.09)%. Using the capture-recapture method it was 2.29 (2.24 to 2.33)%. From capture-recapture data the age adjusted prevalence of type 1 diabetes was 0.40 (0.37 to 0.43)% in men and 0.28 (0.25 to 0.30)% in women; the prevalence of type 2 was 2.03 (1.97 to 2.09)% in men and 1.67 (1.62 to 1.72)% in women. These figures represent an increase compared with previous surveys. The age specific prevalence of type 2 diabetes was greater in men in a ratio of approximately 1.5:1 and there were more patients treated by diet alone. CONCLUSIONS: Record linkage using multiple sources underestimates the prevalence of diabetes compared with capture-recapture estimates. The results suggest the prevalence of known diabetes in the UK has approximately doubled in less than 20 years. There is an increasing preponderance of male patients and of patients treated currently with diet alone.

Adolescent↗

Modelling human immunodeficiency virus infection and acquired immune deficiency syndrome cases in Scotland: data sources, prior information and Bayesian estimation.

"The paper describes the methodology developed to carry out predictions of the acquired immune deficiency syndrome (AIDS) epidemic in Scotland. Information on the human immunodeficiency virus (HIV) epidemic comes from formal case reports of AIDS cases and HIV positive tests, reports from surveillance schemes and from special studies. These sources of information, up to the end of 1994, are reviewed.... A simple model of the HIV epidemic in Scotland is proposed and the information is summarized in terms of this model. Bayesian methodology, using Markov chain Monte Carlo methods, is described and used to predict future cases of AIDS in Scotland and people who will be living with AIDS in the years 1995-1999."

Acquired Immunodeficiency Syndrome↗

[Creutzfeldt-Jakob disease and other human forms of transmissible spongiform encephalopathy in Italy: a mortality study carried out from different data sources].

Creutzfeldt-Jakob Disease (CJD) is a rare pathology (about 1 case per million) but it has a great importance for Public Health; the Italian National CJD register has been established in the Istituto Superiore di Sanita (ISS) since 1993, and epidemiological studies on CJD have been carried out as well. This paper reports a mortality study carried out comparing and integrating data from the two available sources: the National CJD Register and the Italian Data Base on Mortality, processed by the ISS Statistics Unit, on the data collected by the Italian Census Bureau (ISTAT). The study allowed to estimate: the underreporting of CJD mortality to both sources, the misclassification of ISTAT data and the integrated mortality rates from CJD in Italy: 1.58 per million persons aged 25 or more, average rate during the period 1993-1999.

Academies and Institutes↗

Use of relational database management system by clinicians to create automated MICU progress note from existent data sources.

We designed and built an application called MD Assist that compiles data from several hospital databases to create reports used for daily house officer rounding in the medical intensive care unit (MICU). After rounding, the report becomes the objective portion of the daily "SOAP" MICU progress note. All data used in the automated note was available in digital format residing in an institution wide Sybase data repository which had been built to fulfill data needs of the parent enterprise. From initial design of target output through actual creation and implementation in the MICU, MD Assist was created by physicians with only consultative help from information systems (IS). This project demonstrated a method for rapidly developing time saving, clinically useful applications using a comprehensive clinical data repository.

Database Management Systems↗

Combining data sources to monitor the HIV epidemic in Canada.

This article describes the methods, results and future perspectives of four information sources used to monitor the HIV epidemic in Canada: AIDS case surveillance, HIV case surveillance, HIV sentinel serosurveillance, and behavioral surveillance. Synthesizing data from these multiple sources provides a more comprehensive picture of the HIV epidemic than any one source alone could provide. In Canada, there has been a shift over time from an epidemic dominated by men who have sex with men to one where more than half of new infections are attributed to other groups, such as injection drug users and non-injecting heterosexuals. The available evidence also suggests increasing HIV infections among Aboriginal persons and among women. Surveillance data have been used in Canada to guide prevention and care programs and to formulate policy. In particular, these data have been used to support the development of an HIV testing program in pregnancy, to re-direct community work toward injection drug users and the young, and to demonstrate the effectiveness of new treatments for HIV. The main challenge now is to continue to improve the monitoring of the shifting HIV epidemic with more accurate data and to use the resulting information to inform appropriate prevention and care responses.

AIDS Serodiagnosis↗

Telephone triage: a timely data source for surveillance of influenza-like diseases.

We evaluated telephone triage (TT) data for public health early warning systems. TT data is electronically available and contains coded elements that include the demographics and description of a caller's medical complaints. In the study, we obtained emergency room TT data and after hours TT data from a commercial TT software and service company. We compared the timeliness of the TT data with influenza surveillance data from the Centers for Disease Control using the cross correlation function. Emergency room TT calls are one to five weeks ahead of surveillance data collected by the CDC.

Disease Outbreaks↗

Alternative data sources in a case-control study of conjugated estrogens and cancer.

In a case-control study of the relationship of conjugated estrogen use to endometrial and breast cancer, we compared the availability and quality of information on risk factors from hospital charts and gynecologists' records. Of the women for whom an indication of Premarin use was recorded in either source, 19 percent would have been classified as nonusers by the hospital chart alone, a proportion that was similar for the breast (18 percent) and uterine (14 percent) cancer cases and controls (23 percent). However, for current use of Premarin, a higher proportion (28 percent) of users were identified solely through the gynecologists' records, and this proportion was even higher among controls (42 percent) than among either breast (18 percent) or uterine (15 percent) cancer cases. As a result, relative risk estimates varied according to the source of exposure date. Physicians' records also provided substantially more detail than hospital records on duration of Premarin use, especially for controls. Most demographic, medical, and reproductive variables were adequately available from the hospital charts alone. However, certain reproductive variables, such as age at first birth, presence or absence of ovaries, and age at menarche, were not adequately recorded in either source. These results suggest that gynecologists' records provide more accurate exposure data than hospital charts to determine current use of conjugated estrogens. Moreover, in the assessment of certain reproductive variables, the use of both these record-based sources may not be sufficient.

Adenocarcinoma↗

Relations of job characteristics from multiple data sources with employee affect, absence, turnover intentions, and health.

Much of the evidence in support of job characteristics theory is limited to incumbent reports of job characteristics. In this study, job characteristics data from three independent sources--incumbents, ratings from job descriptions, and the Dictionary of Occupational Titles--were used. Convergent validities of incumbent reports with other sources were quite modest. Although incumbent reports of job characteristics correlated significantly with several employee outcomes (job satisfaction, work frustration, anxiety on the job, turnover intentions, and number of doctor visits), the other sources showed few significant correlations, except for number of doctor visits. Caution is urged in the use of incumbent self-reports of job characteristics as indicators of actual work environments. New methods for studying job characteristics are suggested.

Absenteeism↗

Medicaid records as a valid data source: the Tennessee experience.

Health care researchers rarely employ Medicaid claim files as a data base, in part because they are designed to serve fiscal and administrative ends. Indeed, some investigators have emphasized the deficiencies in such records. In contrast, we have found Tennessee Medicaid data to be suitable for research. A statewide automated data processing system reduces the occurrence of many of the errors noted by others. Further, analysis of the July 1974 month of payment file illustrates the accuracy and internal consistency of Tennessee Medicaid data. Specimen legend drug results for ambulatory patients suggest investigations of physician prescribing patterns. Evaluation of the Medicaid claims processing system suggests other applications in health care administration and research. In a time when available resources are dwindling, the incisive use of Medicaid claims files offers an attractive alternative to expensive new systems of data collection and analysis.

Aged↗