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At least 397 records · Page 22Linked to original sources
PubMed2000

NCCN outcomes research database: data collection via the Internet.

Since 1997, the National Comprehensive Cancer Network (NCCN) outcomes database has successfully collected and reported patterns of care and outcomes data in the oncology setting. Breast cancer was the first cancer site chosen for this outcomes study, with non-Hodgkin's lymphoma targeted as the next site. Quarterly reports of the data are compiled and distributed to all participating centers. The results for each institution are given to the Principal Investigator at the respective institution. At present, the NCCN database contains more than 100,000 records of longitudinal data on more than 5,000 women with breast cancer. Extending data collection to the community setting is a goal.

Breast Neoplasms↗
PubMed2002

Two on-farm data collection methods to determine dynamics of swine compositional growth and estimates of dietary lysine requirements.

An experiment was conducted to evaluate the use of two real-time ultrasound data-collection methods to develop a dynamic assessment of live weight growth, protein and lipid accretions, and lysine requirement curves on two commercial swine operations. For the first method, pigs (40 barrows and 40 gilts) were weighed (ranging from 18 to 121 kg) and scanned ultrasonically to collect backfat depth and longissimus muscle area measurements every 3 wk in the finishing facility on two farms (serial method). For the second method, pigs (200 gilts and 200 barrows) of similar corresponding ages on the same two farms were weighed and scanned on 1 d (mass scan) at three different times (February, April, and May). Thirty-two pigs/sex were measured at approximately the same ages as with the serial scans. Pigs on farm 1 grew faster and had smaller backfat depths and larger longissimus muscle areas (P < 0.01) than those on farm 2, irrespective of method. These measurements were used to predict empty-body protein and lipid contents using nonlinear functions, which then were converted to accretion rates and lysine requirements at each BW. Protein accretion (g/d) and daily lysine requirements increased and then decreased for each sex on each farm and were higher on farm 1 than on farm 2. Data from the individual mass scans had larger standard errors for modeled live weight growth than data from the serial scans. Combining data from the three mass scans yielded growth curves with standard errors similar to those for the curves from the serial scans. For the protein accretion curves, the standard errors of the combined mass scans were approximately 20% lower than the standard errors of the serial scans. The standard errors for the modeled lysine:calorie ratio requirement from the serial scans were approximately 1% of the requirement at each BW. These results indicated that either the serial or mass scan data-collection method is a practical means of determining on-farm growth and daily protein and lipid accretion rates, which can be used to determine the farm-specific lysine requirements of growing-finishing pigs.

Adipose Tissue↗
PubMed2003

The integration of similar clinical research data collection instruments.

We devised an algorithm for integrating similar clinical research data collection instruments to create a common measurement instrument. We tested this algorithm using questions from several similar surveys. We encountered differing levels of granularity among questions and responses across surveys resulting in either the loss of granularity or data. This algorithm may make survey integration more systematic and efficient.

Algorithms↗
PubMed2006

Design and implementation of security in a data collection system for epidemiology.

Health informatics can benefit greatly from the e-Science approach, which is characterised by large scale distributed resource sharing and collaboration. Ensuring the privacy and confidentiality of data has always been the first requirement of health informatics systems. The PsyGrid data collection system, addresses both, providing secure distributed data collection for epidemiology. We have used Grid-computing approaches and technologies to address this problem. We describe the architecture and implementation of the security sub-system in detail.

Computer Security↗
PubMed1998

Does the method of data collection affect the reporting of depression in the relatives of depressed probands?

BACKGROUND: Data is usually collected from different sources in family studies in depression. We sought to determine what effect different methods of data collection had on the reporting of the lifetime prevalence of depression in the relatives of depressed probands. METHOD: We examined the psychiatric histories of 519 first-degree relatives of a consecutive series of 89 hospitalised depressed probands to ascertain their lifetime prevalence of RDC Major Depression. These data on relatives were obtained either directly with the SADS-L (n = 116), indirectly with the Family History RDC (FH-RDC) (n = 283) or by examining the casenotes of the probands (n = 120). RESULTS: The method of data collection had a marked effect on the reported prevalence of depression, with direct interview being much more sensitive in detecting the less severe forms of the illness. The lifetime prevalence of hospitalised depression in relatives, however, was unaffected by the method of the data collection. Variation in lifetime prevalence of depression between the SADS-L and FH-RDC appeared to be due mainly to differences in the sensitivity of the instrumentation rather than to biases in sampling. CONCLUSION: We confirm that indirect sources of family information have reduced sensitivity for the detection of depression in relatives compared with direct interview. LIMITATIONS: The numbers of relatives directly interviewed were small and the probands represented a severely affected sample which limits the generalisability of the findings. CLINICAL RELEVANCE: Combining data from different methods of collection in family studies is therefore problematic unless a narrow definition of caseness is used (e.g. depression requiring hospitalisation).

Bias↗
PubMed1993

Data collection and changing health care systems. 2. New Zealand.

Radical changes planned in the New Zealand health system aim to improve its cost effectiveness, quality and consumer responsiveness. These changes will take place despite a paucity of data on the use of resources and outcomes. Data collection systems are to be introduced into hospitals and primary care with the use of the Read clinical codes (RCC) in addition to ICD-9-CM (International classification of disease--clinical modification) and ICPC (International classification of primary care). This paper discusses the proposed changes to the New Zealand health care system and describes their effect on the present and future data collection methods in general practice.

Abstracting and Indexing↗
PubMed1987

Rapid prototyping of database systems in human genetics data collection.

This work examines some of the problems encountered in developing small and large database application systems involving human genetics data collection efforts that include data on individuals as well as family pedigree data. Rapid prototyping of a database application requires software tools to produce the application with little or no programming. Features of MEGADATS-4 that provide for rapid prototyping and for producing stand-alone applications are examined.

Data Collection↗
PubMed1987

Automated data collection and processing for a cycle ergometer.

A system is described for collection and processing of data from a cycle ergometer. Cycle pedals, specially made to withstand the extremely high forces exerted during maximal power cycling, contain transducers to measure pedal angle relative to the crank and foot forces both perpendicular and parallel to the pedal surface. An additional transducer monitors crank position. Output signals are conditioned, amplified, digitized by a 12-bit analog-to-digital converter, fed into a computer at 100 Hz/channel, and mathematically smoothed to attenuate noise. For each sample interval, foot force components perpendicular and parallel to the crank arm are calculated. Power generated on each crank revolution is determined from transducer information. Computer graphics display pedaling parameters vs. crank angle in both rectangular and circular format. Data files containing variables descriptive of pedaling force curves are produced to enable computerized statistical analysis of cycling performance.

Computer Graphics↗
PubMed2007

Listening to seniors: successful approaches to data collection and program development.

This paper provides guidelines for high quality data collection with community-residing older adults with illustrations drawn from the authors' practice. A mixed-method approach is described as a means to obtain the highest quality information from the sample. This approach combines focus groups and interviews along with mailed, closed-ended surveys to access both the "depth" of the seniors' responses as well as the "breadth" of responses; that is, the qualitative aspects provide the opportunity to identify and define relevant issues in the voices of respondents, while mailed surveys provide the kind of coverage necessary to make accurate predictions to the larger population of community-residing seniors.

Activities of Daily Living↗
PubMed2000

Influence of definition and data collection on the incidence of injuries in football.

Studies on the incidence of football injuries vary in the definition of injury, study design, methods of data collection, and observation periods. The aim of this study was to review the different methodologies applied in the evaluation of football injuries as well as to analyze the influence of data collection methods on the incidence of football injuries. In this study, injury data obtained weekly by a physician during 1 year of follow-up in 264 football players were compared with the results of retrospective questionnaires completed by the players at the end of the observation period. In the retrospective questionnaire, the incidence of injuries as well as of complaints was significantly lower than that found in the weekly follow-up examinations. Approximately every third moderate injury and less than 10% of the mild injuries were remembered retrospectively. The shorter the period of symptoms and the longer ago the injury occurred, the more frequently it was forgotten. However, even severe injuries, such as fractures, were not reported in the retrospective investigation. Based on the review of the literature and the data presented, recommendations in relation to study design, the definition of injury, and the calculation of incidence are proposed.

Adolescent↗
PubMed2001

Automated data collection with a Tecnai 12 electron microscope: applications for molecular imaging by cryomicroscopy.

In high-resolution biological electron microscopy, the speed of collection of large numbers of high-quality micrographs is a rate-limiting step in the overall process of structure determination. Approaches to speed up data collection can be very useful, especially in "single-molecule" microscopy of large multiprotein and protein-nucleic acid complexes, where many thousands of individual molecular images need to be averaged to determine the three-dimensional structure. Toward this end, we report the development of automated low-dose image acquisition procedures on a Tecnai 12 electron microscope using the scripting functionality available on the microscope computer. At the lowest level of automation, the user is required to select regions of interest that are to be imaged. All subsequent steps of image acquisition are then carried out automatically to record high-resolution images on either film or CCD, at desired defocus values, under conditions that satisfy user-specified limits for drift rates of the specimen stage. At the highest level of automation, determination of the best grid squares and the best regions suitable for imaging are carried out automatically. A medium level of automation is also available in which the user can designate the most promising grid squares manually and leave the process of finding the best holes in those grid squares to the microscope computer. We also show that all steps subsequent to insertion of the specimen in the microscope can be carried out remotely by connecting to the microscope computer via the Internet. Both features are implemented using Windows NT and Web-based tools and provide tools for automated data collection on any Tecnai microscope from any location.

Cryoelectron Microscopy↗
PubMed2005

Bioinformatics and functional magnetic resonance imaging in clinical populations: practical aspects of data collection, analysis, interpretation, and management.

In this paper the authors review the issues associated with bioinformatics and functional magnetic resonance (fMR) imaging in the context of neurosurgery. They discuss the practical aspects of data collection, analysis, interpretation, and the management of large data sets, and they consider the challenges involved in the adoption of fMR imaging into clinical neurosurgical practice. Their goal is to provide neurosurgeons and other clinicians with a better understanding of some of the current issues associated with bioinformatics or neuroinformatics and fMR imaging. Thousands to tens of thousands of images are typically acquired during an fMR imaging session. It is essential to follow an activation task paradigm exactly to obtain an accurate representation of cortical activation. These images are then interactively postprocessed offline to produce an activation map, or in some cases a series of maps. The maps may then be viewed and interpreted in consultation with a neurosurgeon and/or other clinicians. After this consultation, long-term archiving of the processed fMR activation maps along with the standard structural MR images is a complex but necessary final step in this process. The fMR modality represents a valuable tool in the neurosurgical planning process that is still in the developmental stages for routine clinical use, but holds exceptional promise for patient care.

Brain Mapping↗
PubMed1996

Methodology of morbidity and treatment data collection in general practice in Australia: a comparison of two methods.

OBJECTIVES: To compare two methods of data collection of patient-practitioner encounter data in general practice: from medical records consultation notes and from data recorded on encounter forms. METHOD: Data were collected from two sources: (i) Medical Records Study: a study of the efficacy of an intervention designed to improve the quality of medical records provided details of 3107 patient encounters with 163 general practitioners (GPs) which had been photocopied from medical records; and (ii) Australian Morbidity and Treatment Survey (AMTS): from a national sample of 495 GPs and over 100,000 patient encounters, data from 47 GPs in the same geographical area as those in the Medical Records Study provided encounter forms for 10,392 patient encounters including details about patient demographics, reason for encounter, management, treatment, tests and investigations, admissions, referrals and planned follow-up. The International Classification of Primary Care (ICPC) was used to code reasons for encounter and problems managed. Drugs were classified according to an in-house classification by generic name and broad drug group. RESULTS: Patient details and all items of clinical information were recorded less frequently or were more often illegible in medical records than on encounter forms. There was a higher rate of management of problems classified as general or non-specific in the medical records. A lower prescribing rate for drugs acting on the cardiovascular system was recorded in the medical records, but higher rates were found for antibiotics, drugs acting on the immune system and miscellaneous drugs. Coding of all data was more reliable both between and within coders using the data from the encounter forms compared to the medical records. CONCLUSION: General practice data obtained from encounter forms are more comprehensive and are coded more reliably than those drawn from medical records.

Adolescent↗
PubMed2005

High-resolution iterative frequency identification for NMR as a general strategy for multidimensional data collection.

We describe a novel approach to the rapid collection and processing of multidimensional NMR data: "high-resolution iterative frequency identification for NMR" (HIFI-NMR). As with other reduced dimensionality approaches, HIFI-NMR collects n-dimensional data as a set of two-dimensional (2D) planes. The HIFI-NMR algorithm incorporates several innovative features. (1) Following the initial collection of two orthogonal 2D planes, tilted planes are selected adaptively, one-by-one. (2) Spectral space is analyzed in a rigorous statistical manner. (3) An online algorithm maintains a model that provides a probabilistic representation of the three-dimensional (3D) peak positions, derives the optimal angle for the next plane to be collected, and stops data collection when the addition of another plane would not improve the data model. (4) A robust statistical algorithm extracts information from the plane projections and is used to drive data collection. (5) Peak lists with associated probabilities are generated directly, without total reconstruction of the 3D spectrum; these are ready for use in subsequent assignment or structure determination steps. As a proof of principle, we have tested the approach with 3D triple-resonance experiments of the kind used to assign protein backbone and side-chain resonances. Peaks extracted automatically by HIFI-NMR, for both small and larger proteins, included approximately 98% of real peaks obtained from control experiments in which data were collected by conventional 3D methods. HIFI-NMR required about one-tenth the time for data collection and avoided subsequent data processing and peak-picking. The approach can be implemented on commercial NMR spectrometers and is extensible to higher-dimensional NMR.

Animals↗
PubMed2000

Data collection instrument and procedure for systematic reviews in the Guide to Community Preventive Services. Task Force on Community Preventive Services.

INTRODUCTION: A standardized abstraction form and procedure was developed to provide consistency, reduce bias, and improve validity and reliability in the Guide to Community Preventive Services: Systematic Reviews and Evidence-Based Recommendations (the Guide). DATA COLLECTION INSTRUMENT: The content of the abstraction form was based on methodologies used in other systematic reviews; reporting standards established by major health and social science journals; the evaluation, statistical and meta-analytic literature; expert opinion and review; and pilot-testing. The form is used to classify and describe key characteristics of the intervention and evaluation (26 questions) and assess the quality of the study's execution (23 questions). Study procedures and results are collected and specific threats to the validity of the study are assessed across six categories (intervention and study descriptions, sampling, measurement, analysis, interpretation of results and other execution issues). DATA COLLECTION PROCEDURES: Each study is abstracted by two independent reviewers and reconciled by the chapter development team. Reviewers are trained and provided with feedback. DISCUSSION: What to abstract and how to summarize the data are discretionary choices that influence conclusions drawn on the quality of execution of the study and its effectiveness. The form balances flexibility for the evaluation of papers with different study designs and intervention types with the need to ask specific questions to maximize validity and reliability. It provides a structured format that researchers and others can use to review the content and quality of papers, conduct systematic reviews, or develop manuscripts. A systematic approach to developing and evaluating manuscripts will help to promote overall improvement of the scientific literature.

Data Collection↗
PubMedDate not supplied

Web-based data collection in midwifery clinical education.

A Web-based computerized database for clinical data collection use by midwifery and nurse practitioner students was developed and revised over 2 years. The database provided insight into the number and diversity of clients seen as well as the student's level of autonomy. Students documented a selected set of data elements sensitive to nursing and midwifery care for all client encounters. Analysis of the clinical encounter data entered by nurse-midwifery students in the Antepartum Care course during two winter semesters included 1,417 client encounters. Results of the analyses are presented as well as educational and clinical issues involved in the development and maintenance of the database. Future work includes refining the current database, expanding the data set to include the ACNM nurse-midwifery clinical data sets for antepartum and intrapartum care, and pilot testing the Web-based version in Fall 2003 by using wireless, handheld technology.

Competency-Based Education↗
PubMed2004

Using mandatory data collection on multiresistant bacteria for internal surveillance in a hospital.

OBJECTIVES: Multiresistant pathogens cause major clinical problems and considerably increase treatment costs. Since 2001 the Protection Against Infection Act (PIA) obligates hospitals in Germany to the documentation of multiresistant bacteria. We analyzed the use of these data for routine internal surveillance. METHODS: We used standard data collected for the mandatory documentation and studied consecutive diagnoses of Methicillin-resistant Staphylococcus aureus (MRSA) in a 893-bed tertiary level hospital in North Rhine-Westphalia in Germany. Based on the Poisson distribution for the cumulative yearly incidence of MRSA, we defined a threshold level for an outbreak. RESULTS: During a 12-month time period 80 patients were diagnosed with MRSA. The time structure and spatial distribution of different MRSA phenotypes (defined through specific antibiotic resistance patterns) were consistent with the within-hospital transmission. In the two preceding time periods of 12 months each, 15 respectively 8 patients with MRSA were found. The defined alert threshold level for cumulative yearly incidence was crossed in the beginnings of the outbreak. CONCLUSION: Monitoring the mandatory data collected on multiresistant bacteria allows the early detection of accumulations suspect for the within-hospital transmission. This knowledge can be used for a fast reaction and breaking off the transmission chains.

Data Collection↗