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At least 433 records · Page 24Linked to original sources

Exposure measurement in cohort studies: the challenges of prospective data collection.

Cohort study designs have several advantages over case-control studies in terms of exposure measurement. If exposure measurement occurs before disease occurrence, cohort studies are much less prone to differential measurement error. Prospective data collection should also reduce measurement error due to poor recall of past exposures. The primary drawback of cohort studies is the large sample size leading to high data collection costs. Several approaches to reduce such costs have been discussed in this presentation, such as selection of lower cost measurement methods and fully measuring the exposure only on a subsample of the cohort (e.g., nested case-control design). However, other innovative approaches to reduce costs are needed. In addition, study reviewers should also consider that the higher costs are justified in relation to the several benefits of this study design, which include not only less measurement error, but also less susceptibility to selection bias and often the ability to study multiple disease outcomes. Improving the accuracy of exposure measurement is increasingly important for cohort studies as we move on to the study of exposures that are difficult to measure or to those with lower relative risks of disease. In such studies, attenuation of the relative risk by the effects of measurement error can lead to failure to detect an association between exposure and disease. The validity of exposure measurements could be improved by a better understanding of the biologically active agent and etiologically important time period of the exposure-disease relation, and by incorporating these into the measure. Long-term cohort studies which cover the etiologically relevant time period could improve the accuracy of measures of exposures by use of repeated biologic measures or repeated updates of self-reported exposures. Measurement error also can be reduced by judicious choice of a cohort to study and by careful attention to quality control procedures. Continued emphasis on the evaluation and improvement of the measurement properties of instruments used in epidemiologic studies will improve the validity of the results of cohort studies.

Cohort Studies↗

Drugs of abuse: data collection systems of DEA and recent trends.

The U.S. Drug Enforcement Administration has several different systems for collecting information on drugs of abuse. One is an early warning system, which collects information to provide scientific data and interpretation on drug abuse. Another is the collection of data from evidence submitted to DEA laboratories. This is a review of the significance of the data in each system and an examination of some of the trends observed from the data.

Costs and Cost Analysis↗

A Paradox-based data collection and management system for multi-center randomized clinical trials.

We have developed a Paradox-based data collection and management system for large-scale multi-site randomized clinical trials. The system runs under Windows operating system and integrates Symantec pcAnywhere32 telecommunications software for data transmission and remote control sessions, PKZIP utility for the compression/decompression of transmitted data, and Stat/Transfer for exporting the centralized Paradox database for analyses. We initially developed this system for VA Cooperative Study #399 'The Effect of Antiarrhythmic Therapy in Maintaining Stability of Sinus Rhythm in Atrial Fibrillation', which collects over 1000 variables on 706 patients at 20 sites. Patient intake for this 5-year study began in March of 1998. We have also developed an enhanced version of this system, which is being used in the NIH-funded 'Glucosamine/Chondroitin Arthritis Intervention Trial (GAIT)' that collects over 1200 variables on 1588 patients at 13 sites. Patient intake for this 4-year study began in October of 2000.

Data Collection↗

TCK: a clinical genetics data collection system.

This work examines the database design and user interface design for a clinical genetics data collection system known as TCK. A specific design goal is automatic generation of the CORN reports. Emphasis in this paper is on how the logical data model resulting from the database design, and the user interface work together to enforce the enterprise results pertaining to data. Data screens are shown, sample queries are explained and the data mapping to the CORN reports presented.

Computer Simulation↗

An assessment of the effect of data collection setting on the prevalence of health risk behaviors among adolescents.

PURPOSE: To examine the effect of data collection setting on the prevalence of priority health risk behaviors among adolescents. METHODS: Analyses were conducted using data from two national probability surveys of adolescents, the 1993 national school-based Youth Risk Behavior Survey (YRBS) and the 1992 household-based National Health Interview Survey (NHIS/YRBS). Forty-two items were worded identically on both surveys. RESULTS: Thirty-nine of the 42 identically worded items (93%) showed that the YRBS produced estimates indicating higher risk than the NHIS. Twenty-four of these comparisons yielded statistically significant differences. The prevalence estimates affected most were those for behaviors that are either illegal or socially stigmatized. CONCLUSIONS: School-based surveys produce higher prevalence estimates for adolescent health risk behaviors than do household-based surveys. Each has advantages and disadvantages, and both can play a role in assessing these behaviors.

Adolescent↗

ESHRE PGD Consortium data collection VI: cycles from January to December 2003 with pregnancy follow-up to October 2004.

The sixth report of the ESHRE PGD Consortium is presented, relating to cycles collected for the calendar year 2003 and follow-up of the pregnancies and babies born up to October 2004. Since the beginning of the data collections, there has been a steady rise in the number of cycles, pregnancies and babies reported. For this report, 50 centres participated, reporting on 2984 cycles, 501 pregnancies and 373 babies born. Five hundred and twenty-nine cycles were reported for chromosomal abnormalities, 516 cycles were reported for monogenic diseases, 137 cycles were reported for sexing for X-linked diseases, 1722 cycles were reported for preimplantation genetic screening (PGS) and 80 cycles were reported for social sexing. Data VI is compared to the cumulative data for data collections I-V.

Abortion, Spontaneous↗

Comparing data collected by computerized and written surveys for adolescence health research.

BACKGROUND: This study assessed whether data-collection formats, computerized versus paper-and-pencil, affect response patterns and descriptive statistics for adolescent health assessment surveys. Youth were assessed as part of a health risk reduction program. METHODS: Baseline data from 1131 youth were analyzed. Participants completed the questionnaire either by computer (n = 390) or by paper-and-pencil (n = 741). RESULTS: The rate of returned surveys meeting inclusion requirements was 90.6% and did not differ by methods. However, the computerized method resulted in significantly less incompleteness but more identical responses. Multiple regression indicated that the survey methods did not contribute to problematic responses. The two survey methods yielded similar scale internal reliability and descriptive statistics for behavioral and psychological outcomes, although the computerized method elicited higher reports of some risk items such as carrying a knife, beating up a person, selling drugs, and delivering drugs. CONCLUSIONS: Overall, the survey method did not produce a significant difference in outcomes. This provides support for program personnel selecting survey methods based on study goals with confidence that the method of administration will not have a significant impact on the outcome.

Adolescent↗

Data collection for cross-sectional image reconstruction by a moving ring of positron annihilation detectors.

A ring of positron annihilation detectors capable of two independent motions in the plane of the ring is considered. It can rotate around its center, and the whole ring may move so that its center traces a circular path. Provided certain parameters are chosen according to given formulas, data collected by such a detector ring can be reorganized (rebinned), in a computationally very inexpensive fashion, so that the data items in each bin are measurements along parallel lines spaced at small equal intervals. Efficient high resolution reconstruction algorithms that assume such data organization can therefore be applied to data collected collected by a moving positron ring detector. The method is demonstrated on a realistic example.

Computers↗