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At least 379 records · Page 21Linked to original sources

Sports injury/illness reporting at major sporting events: development and implementation of a data collection system.

When a large number of athletes compete intensely over a short period of time, a variety of sports injuries and illnesses are often encountered. Maintaining health records at these events presents a challenge to medical organizing committees. Accurate data collection is important, not only for planning of medical services, but also for development of prevention programs and policies relating to athletes' health. Recruitment of a dedicated data collection team with sports medicine background and computer expertise will facilitate collection and analysis of medical data at this type of event. This paper reviews the development and implementation of a sports injury and illness recording system used at the 1989 Jeux Canada Summer Games. Over 3500 participants had access to comprehensive medical services during the two weeks of competitions. Information on medical encounters was available daily during the games and a final report on sports injuries and illnesses was easily generated.

Athletic Injuries↗

Data collection on spinal cord injuries: urological outcome.

Analysis of 628 consecutive admissions to the Spinal Injuries Unit, Austin Hospital, between July 1978 and December, 1985 illustrates the value of a comprehensive data collection system which has been developed at the hospital since 1978. Some brief epidemiological data is presented, together with a detailed analysis of the urological outcome of patients with traumatic lesions whose discharge has been completed. A high rate of catheter-free status and urine sterility at discharge is reported, and factors affecting these results are analysed. The authors hope that an international system of data collection can be developed in the future to allow meaningful comparison of results between units.

Data Collection↗

Classifying nursing home patients; the impact of mid-week data collection on variance reduction.

This study analyzes the variance reduction capabilities of three existing nursing home patient classification systems across different shifts and sub-week time periods. The existing classification systems, all based on nursing time data collected in the middle of the working week, performed well with data collected at night and on weekends. Existing nursing home patient classification systems are robust for time periods other than those during which nursing times have usually been collected.

Activities of Daily Living↗

Representing older and disabled people in virtual user trials: data collection methods.

A database was developed to support the creation of a computer-based tool which will support design teams in evaluating the usability of a design during early prototyping and indicate which individuals are effectively excluded or designed out. Methods are described for the collection of multivariate data on 100 real individuals covering a range of physical characteristics and capabilities. These data were tested to ensure a breadth of representation of individuals (particularly older and disabled people) in terms of anthropometry, joint constraints, postural capabilities and task behaviours. The concept of the design tool itself is explored by conducting virtual user trials in the computer-aided design environment. The novel approach of the research encourages empathy with individual users and allows generic abilities, such as bending, reaching and lifting to be assessed.

Adolescent↗

Researching disparities: strategies for primary data collection.

Comparatively little disparities research to date has focused on emergency medicine. However, the body of disparities research developed in other areas of health care has identified a number of issues that are directly applicable. To promote research on disparities in emergency medicine, this article addresses several of these issues related to collecting and classifying data on race/ethnicity and socioeconomic status and selected methodologic issues that are particularly important for evaluating disparities.

Adult↗

Data collection using a palm-top computer.

Palm-top computers can be ideal for collecting nursing research data in the ward or community. The hand-held computer has several programs and special features that could be useful to the nurse researcher. The palm-top's limitations, as well as its advantages, must be considered in the light of the particular research project planned.

Data Collection↗

Use of a cassette recorder for data collection in prehospital cardiac arrest research.

The methods of obtaining data and assessing protocol compliance in prehospital research can present difficulties. The Norwalk Hospital Mobile Emergency Medical Service paramedics use a minicassette recorder carried in the monitor-defibrillator pack during their participation in a cardiac arrest study. The device is simple, inexpensive, and well accepted by the paramedics. With this recorder, the investigator is able to accurately identify when interventions occurred and the patients' response to therapy. The use of a minicassette recorder can facilitate data collection for prehospital research with minimal disruption for the paramedic providing care.

Allied Health Personnel↗

Reproducibility of data collected by patient interview.

This study examined the reproducibility of data, not generally considered at risk for poor patient recall, obtained on two separate occasions. Our study used data collected for a register of heart attacks in the Lower Hunter Region of New South Wales, and included 1675 patients who were registered at least twice. Reporting inconsistencies between occasions were assessed for eight data items. We found that the sex of five patients had been recorded differently on the two occasions. Among patients interviewed on both occasions, between 0.5 per cent and 2.0 per cent of patients had inconsistent reports for marital status, country of birth, smoking status and height, 2.7 per cent for date of birth, 13 per cent for education level and between 1.6 per cent and 9.6 per cent for the history of various medical conditions. Patients not from an English-speaking background, over 60 years of age or without tertiary education tended to have higher rates of inconsistent reporting. Time between occasions, marital status and sex were not associated with increased rates of inconsistent reporting. We concluded that apparently straightforward data items, such as date of birth and education level, were not perfectly reproducible when obtained by patient interview on separate occasions. Our results provide a starting point for sensitivity analysis in other studies if the potential inaccuracies in reporting of such data should be of concern.

Data Collection↗

Monitoring disease in England and Wales: methods applicable to routine data-collecting systems.

This paper reviews routine data-collecting systems and methods for disease surveillance in England and Wales. It discusses population-based correlation studies, which seek to explain disease trends by relating routine health statistics to possible causative agents on a secular, geographical, or occupational basis. It describes recent developments in linking information collected by routine general purpose systems as a means of identifying and following individuals exposed to potential hazards.

Death Certificates↗

Recommendations for standardization of data collection and analysis of bleeding in combined hormone contraceptive trials.

This is the second of a two-article series describing the outcomes of the Hormonal Contraceptives Trial Methodology Consensus Conference held in Philadelphia, PA, on September 23, 2005. The first manuscript, "Hormonal Contraceptive Trials: Variable Data Collection and Bleeding Assessment Methodologies Influence Study Outcome and Physician Perception," provided a description of methodologies applied in the US Food and Drug Administration medical officer's review of clinical trial data as contained in the Summary Basis of Approvals of New Drug Applications, results of the review and general conclusions. This manuscript provides recommendations regarding best practices in trial design, data collection and analysis regarding bleeding data in combined hormone contraception trials.

Contraceptives, Oral, Combined↗

The impact of changing methods of data collection on the reliability of self-reported drug use of adolescents.

The purpose of this study is to determine the impact of different modes of data collection on the reliability of self-reported drug use of adolescents in a panel study. Adolescents were assigned to four groups based upon the ways they chose to respond to the survey instruments: 1) mailed questionnaires in both years, 2) survey interview in one year and mailed questionnaire in the next year, 3) mailed questionnaire in one year and survey interview in the following year, and 4) survey interview in both years. The quality of the self-reported data was examined in terms of return rates, missing data, internal consistency, and consistency of reported information over time. No significant differences were found between groups, suggesting that the mode of data collection does not affect the reliability of adolescents' self-reports of substance use.

Adolescent↗

Prediction of future serum concentrations with Bayesian fitted pharmacokinetic models: results with data collected by nurses versus trained pharmacy residents.

Recording the times of dosage administration and serum sampling by trained personnel resulted in significantly greater adherence to the protocol of therapeutic drug monitoring and in significantly greater precision in the achievement of desired serum concentration goals of aminoglycoside therapy than when relatively untrained personnel recorded it as a comparatively unemphasized part of their job. This was true even when only data of peak and trough serum concentrations were used. This study demonstrates that thoughtful data collection by appropriately trained nursing, pharmacy, or other clinical personnel is an essential part of therapeutic drug monitoring and plays a significant role in the optimal individualization of drug dosage regimens for patient care.

Aged↗

[Exploring the photovoice in an ethnographic research: a strategy for data collection].

This article describes the use of the photography for data collection in an ethnographic research. This study aims to understand the women's perception related to the hospital where they were supposed to give birth. These women were invited to take pictures of the hospital. After developing the pictures, the researcher appointed interviews and the pictures gave voice to them. The women pointed out positive and negative aspects related to the hospital, that were the reasons for their anxiety and stress. The use of photography allowed to dispel the myth of the factors that influence on the birth process.

Anthropology, Cultural↗

Empirical analyses of BOLD fMRI statistics. II. Spatially smoothed data collected under null-hypothesis and experimental conditions.

In the companion to this paper (E. Zarahn, G. K. Aguirre, and M. D'Esposito, 1997, NeuroImage, 179-197), we describe an implementation of a general linear model for autocorrelated observations in which the voxel-wise false-positive rates in fMRI "noise" datasets were stabilized and brought close to theoretical values. Here, implementations of the model are tested for use with statistical parametric mapping analysis of spatially smoothed fMRI data. Analyses using varying models of intrinsic temporal autocorrelation and either including or excluding a global signal covariate were conducted upon human subject data collected under null hypothesis as well as under experimental conditions. We found that smoothing with an empirically derived impulse response function (IRF), combined with a model of the intrinsic temporal autocorrelation in spatially smoothed fMRI data, resulted in a map-wise false-positive rate which did not exceed a 5% level when a nominal alpha = 0.05 tabular threshold was applied. Use of other models of intrinsic temporal autocorrelation resulted in map-wise false-positive rates that significantly exceeded this level. fMRI data collected while subjects performed a behavioral task were used to examine (a) task-dependent global signal changes and (b) the dependence of sensitivity on the temporal smoothing kernel and inclusion/exclusion of a global signal covariate. The global signal changes within an fMRI dataset were shown to be influenced by the performance of a behavioral task. However, the inclusion of this measure as a covariate did not have an adverse affect upon our measure of sensitivity. Finally, use of an empirically derived estimate of the IRF of the system was shown to result in greater map-wise sensitivity for signal changes than the use of a broader (in time) Poisson (parameter = 8 s) kernel.

Adult↗

Computer-assisted drug data collection.

Computerized systems for recording information about medication prescribing and use are important for studies in health services and pharmacoepidemiology. Such systems, if properly designed, can facilitate analysis as well as data collection. Although drug information systems exist for pharmacy service delivery applications, there are currently no descriptions of systems developed primarily for research applications in this area. This paper describes a computerized data collection system, developed for researchers, usable on portable equipment, and containing error checking features; the system has been extensively tested in over 850 study subjects taking part in a study of medication use in nursing homes that examines the impact of educational interventions for doctors and nurses on prescribing practices.

Clinical Pharmacy Information Systems↗

Electronic versus paper instruments for daily data collection.

PURPOSE: Collecting daily information on a series of similar, recurring events such as menstrual bleeding, headaches, or insulin levels using paper instruments is subject to problems such as missing or incorrectly recorded data, and retrospective data entry. The authors are developing and evaluating electronic data collection using hand-held personal computers (H/PC) for a variety of health-related applications, including tracking premenstrual syndrome (PMS), fertility awareness, and headaches, to improve accuracy and timeliness of data collection.METHODS: ProCycle is a prototype electronic diary for collection of daily data on menstrual bleeding, medications, and health symptoms. In a 3-month pilot test in 25 regularly cycling women, we compared its performance with a paper calendar regarding missing and incorrect data, data entry lag, data cleaning time, and users' preferences with respect to factors such as remembering to enter data, convenience, and overall preference. Additional programs for PMS, fertility, and headaches are being field tested on subjects from the Boston and New York areas, comparing performance with paper versions.RESULTS: In the pilot test, missing data occurred less frequently with ProCycle than with paper, particularly for any days with missing symptoms (4% vs. 35%, p < 0.05). ProCycle did not permit any data recording mistakes such as circling contradictory responses (e.g., bleeding and no bleeding), compared with incorrect data on 13% of paper calendars. Data entry/cleaning time was 81% lower for ProCycle. 70% of users preferred ProCycle overall, compared with 9% preferring paper (p < 0.01).CONCLUSIONS: Although the initial cost of the H/PC is significantly higher than paper, there are no recurring charges for printing or data entry, and data cleaning is minimal. Electronic instruments on an H/PC provide an efficient, accurate method of data collection, applicable to a number of areas of health-related research involving daily data collection.

Journal Article↗

Analysis of data-collection methods for an acute stroke care registry.

This study aims to assess and compare the completeness and reliability of data collected by prospective and retrospective methods for the Paul Coverdell National Acute Stroke Registry. The prototypes consisted of eight states that used the same data elements but differed in their collection approach. Three prototypes employed retrospective case ascertainment (n=1218), and five prototypes used prospective or a combination of prospective and retrospective case ascertainment (n=1602). RTI International performed an audit analysis of the eight prototypes. Completeness, exact match, and discrepancy analyses were performed with data elements grouped into 12 categories for this analysis. A sample of 2820 (37.6%) from a total of 7494 records from 91 hospitals was studied. The "in-hospital complications" section had the highest percentage of completeness (99.6%), followed by "demographic data" (97.7%), and "in-hospital diagnostic procedures" (93.4%). The section with the lowest percentage of completeness was "thrombolytic treatment" (53.5%), followed by "reasons for nontreatment with thrombolytics" (57.1%), and "signs and symptoms onset" (63.5%). Across all prototype elements, exact matches with audit data ranged from 62.8% to 95.9%. Documentation of the date/time of stroke onset and of arrival in the emergency department had a high number of discrepancies with audit data, with exact match percentages of 69.7% and 64.5%, respectively. No significant difference was found between retrospective and prospective case ascertainment in completeness or matching with audit data. Combined retrospective and prospective data-collection approaches for different types of data elements may be best in terms of both completeness and accuracy.

Acute Disease↗

Generalisation and extension of a web-based data collection system for clinical studies using Java and CORBA.

Inadequate informatical support of multi-centre clinical trials lead to pure quality. In order to support a multi-centre clinical trial a data collection via WWW and Internet based on Java has been developed. In this study a generalization and extension of this prototype has been performed. The prototype has been applied to another clinical trial and a knowledge server based on C+t has been integrated via CORBA. The investigation and implementation of security aspects of web-based data collection is now under evaluation.

Artificial Intelligence↗