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Collection of data with a large field of view camera can cause problems when a small organ like the heart is to be imaged, especially when high activity is used. A simple, inexpensive mask is described that solves most of these problems.
A computer program has been written to directly read and analyze esophageal manometric tracings on-line using low-cost off-the-shelf microcomputer hardware. The system consists of an Apple IIe microcomputer and an Interactive Microwave Inc. ADALAB Data Acquisition System with an AI13 fast A/D Multiplexer. The primary program is in BASIC with ASSEMBLY language subroutines for data collection. Data are collected through the voltage output of a Hewlett-Packard recorder at 30 points per second on four channels for lower esophageal sphincter pressures (LESP) and three channels for peristaltic waves. Computer-determined values for LESP and wave parameters showed excellent correlation with mean values as read by five individuals experienced in esophageal manometry.
The Uveal Melanoma Data System of the Massachusetts Eye and Ear Infirmary is a computerized data-base designed for data management and analysis with a broad range of clinical research applications. The system was created in 1980 and has evolved to include standardized data collection forms for all aspects of uveal melanoma patient care such as initial examination, treatment, and follow-up, as well as precoded forms for computer entry, which facilitate quality control measures and data analysis. Excerpts from current versions of these forms are presented. The Uveal Melanoma Data System has been used for a variety of clinical epidemiologic investigations. Examples of its application, including descriptive studies, prognostic factor studies, and treatment evaluations, are discussed. The model has potential broad application for clinical ophthalmic research in other specialty areas.
Nurse researchers gain many advantages over manual collection and recording of data when they interface bioinstruments with computer technology for data collection. This article describes both the advantages and disadvantages of such technology, and uses examples from a study evaluating the effects of parent touch on preterm infants to illustrate strategies to overcome potential disadvantages.
The development of data collection forms is an extremely valuable planning phase for a research study. Stepping through the process as outlined in Table 3 can save time and resources because the process will help the researcher define only those variables necessary to accomplish the research objectives, define the type of forms that should be developed for the selected variables, and develop forms that will assist the collection of standard, reliable, and valid data.
Teachers often rely on visual analysis of graphed student performance data to evaluate progress and make program decisions. However, because collecting data can be time consuming and interfere with instruction, teachers would like to know how much data is necessary to make reliable judgments. To investigate the effect of frequency of data collection on teachers' judgments and decisions, this study addressed the question of whether teachers' judgments differ according to frequency of data collection, whether teachers' judgments differ according to type of trend, and whether teachers' judgments based on different types of graphs vary with frequency of data collection. A set of 16 graphs of actual student performance data was analyzed by 59 teachers of students with moderate to profound handicaps. The data were analyzed by a two-factor repeated measures design, and results indicated that when asked to evaluate student performance, teachers' judgments tended to be consistent and accurate when the graphed data represented continuous and systematic improvement in performance. However, when the data represented a decrease in performance, no change, or highly variable performance, judgments tended to differ by frequency. When asked to make program recommendations, teachers' judgments tended to differ by frequency for all types of trends.
The Atherosclerosis Risk in Communities (ARIC) Study uses a computer-assisted data collection (CADC) system in which staff at four Field Centers directly record into microcomputers much of the data obtained from the 16,000 study participants during 4 hours of interviews and exams. A pilot study was conducted to evaluate the feasibility of training Field Center staff in the use of a CADC system and to assess study participants' reaction to such a system. When asked to compare CADC to a paper-based system, all five of the pilot study staff members preferred the CADC system. The 16 pilot study participants either had no preference (63%) or preferred CADC (37%). With respect to data quality, no systematic differences between the two methods of data collection were evident in the pilot study. The CADC system required approximately 10% longer for data collection, keying, and editing than the paper-based system took for collection alone. Immediate data entry in a CADC system may improve data quality by eliminating a transcription step and by allowing prompt detection of suspicious values while the participant is still available to provide confirmation or correction. CADC simplifies data collection by automating complex branching questions and can enhance data completeness. The ARIC CADC system is based on commercially available software customized by the study's Coordinating Center. The microcomputer-based CADC system described in this report may serve as the prototype for future epidemiologic studies that collect standardized data on large numbers of participants at a small number of sites.
A rapid data-collection system for determining egg weight and specific gravity is described. The method links a microcomputer and an electronic balance to facilitate specific gravity determination by the displaced water (CADW) or Archimedes' method. Measurements obtained by this technique were compared with those determined by the saline flotation method. Repeatability measures showed both methods to be relatively precise. The CADW method was faster and reduced opportunities for clerical error.
A well-designed computerized data collection system allows an accurate, complete data-set to be compiled for all pregnant women. It should be able to produce all the documentation necessary for pregnancy care, with minimum delay, and avoid repetitive data entry. Data is stored on computer on the back of operational tasks so that it may be subsequently used for audit. In addition it may be used for research purposes. Patient care can be improved if the computer is programmed to react to certain items being entered by requesting further relevant data-items. This therefore acts as a teaching method. A further extension of this is to use the data to help reach a diagnosis and thus suggest a logical management. A computerized data collection system cannot bring order out of chaos. Before introducing one there must be well-stated objectives of what is required from it. It must be clearly stated what is to be collected by whom and for what purpose. Apart from the capital outlay there may be a need to set money aside for revenue purposes for additional staff involved in maintaining the system. If a large system is being introduced then this will have considerable implications with regard to the work done by some staff, and job descriptions may need renegotiation--an aspect usually overlooked.
A software package is described that collects, graphs, performs peak sensing, and prints data from a spectrophotometer interfaced to an Apple II microcomputer with an ADALAB analog-to-digital converter card. Data collection and storage is performed by an interpreted BASIC program with machine language subroutines. Recalling, graphing, and printout of the data is accomplished by a separate compiled BASIC program. Both of these programs, as well as assisting utility programs, are under control of a menu program. The programs take advantage of all available memory in the 64-K Apple II computer to allow for storage of up to 12 600 data points (7 hours of data collection at a sampling rate of 1 sample every 2 s). As the data collection program provides peak sensing, and the capability of annotating various time points, the programs are ideally suited for use in column chromatography.
A concept covering the collecting and processing of obstetrical and perinatological data is described. Collecting of patient data is effected on the basis of a case history that has been drawn up in an EDP-adequate manner, which, however, can also be used in the conventional way. This procedure was chosen because for some time to come one cannot do without a document for handwritten notes to avoid duplication of work by "double tracking" and to eliminate transmission errors, and also to continue the present procedure of dealing with the patient. A commercial data base system was chosen for data collection and storage (dBase III by Ashton Tate). This relational data base has its own programming language with very powerful macro calls. Data input is effected by means of programme masks which the user can solicit via menu monitoring. The requisite hardware configuration consists of a computer with a main storage comprising 640 KB, system MS-DOS, and a hard disk of at least 20 MB. This data collection system operates in an obstetric hospital with annually more than 1,600 births and more than 1,200 entries during early pregnancy, to the satisfaction of the users. Besides compiling the usual statistical analyses and formulating research problems, the system automatically prepares the discharge reports. This rationalisation procedure compels the user to collect the data with care and also completely. On the whole, such a data collection system offers to hospitals of any size quick and easy access to data at any time, as well as optimised patient care, without additional effort and at a reasonable cost level.
Data collection involves decisions of what to count, how to count, and what to do with the count. The first of these will be determined by the third, since it is the goals which decide what data should be collected. Ways of categorizing and classifying patients, services, treatments, and personnel in relation to long-term medical care must be formulated, and development of comparable data requires definition of baselines or units of observation. Many decision makers with widely varying interests will be competing for information, and to ensure timeliness and accuracy, data collection should be restricted to a minimum of simple, easily obtained, and unambiguous items. Routine reporting of events, periodic censuses relating to persons, and sample surveys all have advantages and limitations. Probably the most useful tools are long-term care registers, as they enable longitudinal studies of patient cohorts. Reliable but confidential means for linking personal records must be found and all records in the system must flow into a central collecting point.
BACKGROUND: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used. OBJECTIVE: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU). AOU is an ongoing national, multiyear study aimed to build a research cohort of 1 million participants that reflects the diversity of the United States, including minority, health-disparate, and other populations underrepresented in biomedical research (UBR). METHODS: We collaborated with community members, health care provider organizations (HPOs), and NIH leadership to design, build, and validate a secure, feature-rich digital platform to facilitate multisite, hybrid, and remote study participation and multimodal data collection in AOU. Participants were recruited by in-person, print, and online digital campaigns. Participants securely accessed the DHRP via web and mobile apps, either independently or with research staff support. The participant-facing tool facilitated electronic informed consent (eConsent), multisource data collection (eg, surveys, genomic results, wearables, and electronic health records [EHRs]), and ongoing participant engagement. We also built tools for research staff to conduct remote participant support, study workflow management, participant tracking, data analytics, data harmonization, and data management. RESULTS: We built a secure, participant-centric DHRP with engaging functionality used to recruit, engage, and collect data from 705,719 diverse participants throughout the United States. As of April 2024, 87% (n=613,976) of the participants enrolled via the platform were from UBR groups, including racial and ethnic minorities (n=282,429, 46%), rural dwelling individuals (n=49,118, 8%), those over the age of 65 years (n=190,333, 31%), and individuals with low socioeconomic status (n=122,795, 20%). CONCLUSIONS: We built a participant-centric digital platform with tools to enable engagement with individuals from different racial, ethnic, and socioeconomic backgrounds and other UBR groups. This DHRP demonstrated successful use among diverse participants. These findings could be used as best practices for the effective use of digital platforms to build and sustain cohorts of various study designs and increase engagement with diverse populations in health research.
Clinical toxicology and poison control have not benefited from the same epidemiological and demographical scrutiny that other health care disciplines have, because of the lack of a meaningful, appropriate database from which to undertake those analyses. Since the creation of the American Association of Poison Control Centers National Data Collection System in 1982 many of the former obstacles of data collection have been overcome. A system has been devised which apparently meets the needs of busy regional poison control centres willing to participate in data collection, and thus provide a large database of human poisoning experience. The data collected by poison control centres and maintained in the National Data Collection System afford a new, powerful tool with which to address issues of demography, epidemiology, risk assessment, product surveillance and regulatory affairs. While the system affords these potentials, certain limitations of the data must be understood so that the data are not misinterpreted. Additionally, we have attempted to identify strengths of the system as well as areas in need of improvement and refinement.
The authors present a graphic program adapted to cartography for the acquisition and processing of graphic data from x-rays and graphics used in dento-maxillo-facial orthopaedic cephalometry. They demonstrate the performance obtained in the automation of cephalometry, in the real-time edition of the results, in the processing of graphic images and the resulting alpha-numerical results.
The retrospective assessment of symptoms and syndromes is a basic measure in research of the longitudinal course of schizophrenia. In spite of its importance there have been few studies evaluating the standard of quality of instruments for retrospective data collection. Combining retrospectively and cross-sectionally collected data on schizophrenic symptomatology in a cohort study over a period of 5 years revealed a significant underestimation of symptoms when assessed in retrospect. The need for studies on the validity of instruments for the retrospective assessment of symptoms is stressed.
A new approach to high-resolution 2-deoxy-D-glucose (2DG) emulsion-autoradiography which combines improved retention of 2DG labeling, staining with immunohistochemical and other specific markers, and automated data collection and analysis of local silver grain and stain densities is described. The Durham et al. (J. Neurosci. 1:519-526, '81) procedure for fixation of 2DG with periodate-lysine-paraformaldehyde (PLP, McLean and Nakane: J. Histochem. Cytochem. 22:1077-1083, '74) was adapted to increase retained label roughly tenfold. Phenobarbital anesthesia is induced 45 minutes after 2DG injection. Barbiturate anesthesia increases brain glycogen (Nelson et al.: J. Neurochem. 15:1271-1279, '68) and presumably increases the incorporation of intracellular 2DG from 2DG-6P into brain glycogen and other molecules (Nelson et al.: J. Neurochem. 43:949-956, '84; Pentreath et al.: Neuroscience 7:759-767, '82). Iodoacetate is added to cold fixative to prevent glycogen breakdown (Cammermeyer and Fenton: Histochemistry 76:339-356, '82). This high-resolution 2DG protocol is directly compatible with many other neuroanatomical techniques. We demonstrate 2DG emulsion autoradiography combined with cytochrome oxidase (CO) histochemistry, markers for axonal pathway tracing, plastic embedding for semithin sections, and immunohistochemical staining for glutamate decarboxylase (GAD). The method should be compatible with antibodies for other antigens and with other neuroanatomical stains. To collect the data directly from microscope slides, a computer-controlled microscope was integrated with image-processing software to eliminate the need for manual counting and scoring of autoradiograms. Regions of interest are scanned automatically at high resolution to map regional labeling and/or stain density. There is excellent correspondence between computer-enhanced two-dimensional maps of the data and the original autoradiograms. Automated counts for five specimens were compared to counts of labeled cells by trained observer. The correlation between the two sets of measurements is high (r = .93). Automated data collection has been generalized to measure regional stain densities on the autoradiographed sections for direct comparison with silver grain density. The method is extremely flexible, especially since new image-processing strategies can be developed in software to extract the desired information from materials labeled by other methods (e.g., HRP).(ABSTRACT TRUNCATED AT 400 WORDS)
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