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Health records as a source of research data are examined. A case study approach is adopted to evaluate the reliability of health visitor records as a data source. It is argued that such records may be a rich source of epidemiological data although their deficiencies should be acknowledged.
Three city data sources (CDSs)--police reports, ambulance reports, and medica examiner (ME) logs--were evaluated for their usefulness in epidemiologic studies of trauma. The CDSs were employed to identify all cases of penetrating injury to the chest and/or abdomen severe enough to require care in a medical institution during 1979 and 1980 in Baltimore city. The percent of cases identified by source was: police, 66.8%; ambulance, 47.9%; ME, 16.6%; police plus ambulance, 89.4%; police plus ME, 82.9%; and ambulance plus ME, 50.1%. Hospital admissions to six study hospitals due to chest and/or abdomen penetrating injury were located and matched to the CDS reports: 89.2% of the hospitalized cases were reported in one or more CDS, and 34.7% of the cases identified by one or more CDS could not be located in the hospital records. Using hospital records as the standard, each source was determined to have the following completeness of case reporting: police, 66.2%; ambulance, 72.9%; and ME, 92.2%. The authors conclude that existing CDSs should be used with caution, and that the usefulness of data from multiple sources far outweighs that from any single source.
This paper is a compendium of sources that contain quantitative data on the health of the US population. These data are useful for epidemiology, public health research, and surveillance activities. The data are from vital records, health surveys, surveillance systems, and the US Census. In this compendium, there are 107 sources of data on mortality, morbidity, natality, maternal and child health, health and health care, the Census, and nutrition surveillance. The telephone numbers and contact offices within the federal agencies responsible for these data bases are provided as guides to help researchers obtain this information. These data sources are useful for examining the relations between diet, behavior, exposure, and health, trends in mortality and morbidity for specific diseases, and patterns in food consumption and composition.
MOTIVATION: Precision medicine leverages patient-specific multimodal data to improve prevention, diagnosis, prognosis, and treatment of diseases. Advancing precision medicine requires the non-trivial integration of complex, heterogeneous, and potentially high-dimensional data sources, such as multi-omics and clinical data. In the literature, several approaches have been proposed to manage missing data, but are usually limited to the recovery of subsets of features for a subset of patients. A largely overlooked problem is the integration of multiple sources of data when one or more of them are completely missing for a subset of patients, a relatively common condition in clinical practice. RESULTS: We propose miss-Similarity Network Fusion (miss-SNF), a novel general-purpose data integration approach designed to manage completely missing data in the context of patient similarity networks. miss-SNF integrates incomplete unimodal patient similarity networks by leveraging a non-linear message-passing strategy borrowed from the SNF algorithm. miss-SNF is able to recover missing patient similarities and is "task agnostic", in the sense that can integrate partial data for both unsupervised and supervised prediction tasks. Experimental analyses on nine cancer datasets from The Cancer Genome Atlas (TCGA) demonstrate that miss-SNF achieves state-of-the-art results in recovering similarities and in identifying patients subgroups enriched in clinically relevant variables and having differential survival. Moreover, amputation experiments show that miss-SNF supervised prediction of cancer clinical outcomes and Alzheimer's disease diagnosis with completely missing data achieves results comparable to those obtained when all the data are available. AVAILABILITY AND IMPLEMENTATION: miss-SNF code, implemented in R, is available at https://github.com/AnacletoLAB/missSNF.
This study has identified workplace homicides in Ontario from 1975 to 1985, described those at risk, and examined what existing data sources are most suitable for locating the occurrence of these events. Homicides were identified from two sources: the Office of the Chief Coroner and the Ontario Mortality Database (OMDB). Of the 84 homicides identified, 87% occurred among males; the average annual work-related homicide rate was 0.17 per 100,000 workers, with a male-to-female ratio of 5.2:1. The rates in males were about one-eighth of those reported in California and Texas. The highest rates occurred among policemen, gas station attendants, security guards, and taxi drivers, and in restaurants and in certain retail operations such as jewelry stores. These homicides represented about 4% of all traumatic workplace fatalities. Firearms were responsible for 56% of these homicides and the motive was robbery in 50%. The OMDB proved to be an awkward source from which to identify such deaths because there is no "injury-at-work" field on death certificates. Other existing sources of data were not able to locate work-related homicides. Guidelines to protect those at high risk of assault and homicide should be developed.
Using injuries associated with three-wheeled all-terrain vehicles in Alaska as an example, the existing injury data bases were assessed for usefulness, cost, simplicity, acceptability, flexibility, sensitivity, specificity, representativeness, and timeliness. In this study strengths and weaknesses of existing data for all-terrain vehicles were identified and ways to improve data collection and linkages across data systems are suggested. Based on this evaluation, linked death certificates and medical examiner data provide an excellent mechanism for monitoring vehicle-related fatalities. Information sources for nonfatal and nonvehicle-related injuries require further development. Police records provide supplemental information, but they are limited to the events reported to police. Although other sources were explored, they added no advantage to the primary sources. Data processing, analysis, and dissemination--traditional responsibilities for public health and other governmental agencies--can transform these data sources into meaningful mechanisms to define injury trends and monitor injury-specific intervention strategies.
A powerful method of processing MEDLINE and CINAHL source data uploaded to the IBM 3090 mainframe computer through an IBM/PC is described. Data are first downloaded from the CD-ROM's PC devices to floppy disks. These disks then are uploaded to the mainframe computer through an IBM/PC equipped with WordPerfect text editor and computer network connection (SONNGATE). Before downloading, keywords specifying the information to be accessed are typed at the FIND prompt of the CD-ROM station. The resulting abstracts are downloaded into a file called DOWNLOAD.DOC. The floppy disks containing the information are simply carried to an IBM/PC which has a terminal emulation (TELNET) connection to the university-wide computer network (SONNET) at the Ohio State University Academic Computing Services (OSU ACS). The WordPerfect (5.1) processes and saves the text into DOS format. Using the File Transfer Protocol (FTP, 130,000 bytes/s) of SONNET, the entire text containing the information obtained through the MEDLINE and CINAHL search is transferred to the remote mainframe computer for further processing. At this point, abstracts in the specified area are ready for immediate access and multiple retrieval by any PC having network switch or dial-in connection after the USER ID, PASSWORD and ACCOUNT NUMBER are specified by the user. The system provides the user an on-line, very powerful and quick method of searching for words specifying: diseases, agents, experimental methods, animals, authors, and journals in the research area downloaded. The user can also copy the TItles, AUthors and SOurce with optional parts of abstracts into papers under edition. This arrangement serves the special demands of a research laboratory by handling MEDLINE and CINAHL source data resulting after a search is performed with keywords specified for ongoing projects. Since the Ohio State University has a centrally founded mainframe system, the data upload, storage and mainframe operations are free.
The relationships between the per person supply (expressed as percent of total energy supply) of saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), and polyunsaturated fatty acids (PUFAs) obtained from 1979-1981 Food and Agriculture Organization (FAO) data, and the per person intake obtained from 52 individual dietary surveys performed in 19 countries, were examined. In particular, the ratio of PUFAs to SFAs (P:S) and the ratio of unsaturated fatty acids (MUFAs and PUFAs) to SFAs (U:S) obtained from both data sources were examined. Significant correlations (P less than 0.001) were found between the two data sources for the P:S, U:S, SFAs, and MUFAs and PUFAs (P less than 0.02) in 19 countries. It is concluded that the data on fat intake from the FAO are valid for use in epidemiologic studies. In view of the variability of the data, it is recommended to use them either expressed as percentage of energy or as ratios of the different components.
The value of modelling for the study of accidents and for devising and assessing methods of prevention depends on the reliability of data sources. Police statistics are commonly used for accidents which cause death or injury. Several studies, however, show their deficiencies particularly for injury accidents of pedestrians and pedal cyclists. Hospital records give better information on injuries and diagnostic classification by the ICD code can be usefully improved by inclusion of the "E" (circumstance) detail. Insurance data can provide another source which is likely to be best for accidents involving multiple vehicles and damage to the property of third parties. The special "no fault" compensation system in New Zealand gives an unusually full source of data suitable for statistical analysis of accidents.
The authors analyzed poisoning-related deaths in Massachusetts from 1986 and 1987 recorded in three datasets: poison center records, death certificate, and state medical examiner's office records. While 714 such deaths were found, 551 of these were prehospital deaths recorded within the medical examiner's office but not by the poison center. The poison center was not consulted in over 47% of the poisoning deaths occurring in Massachusetts hospitals. Conversely, 15% of deaths were reported to the poison center but were not found either in death certificate or medical examiner records. Concordance between all three datasets for recording the 163 poisoning-related hospital deaths was only 17%. The authors conclude that reliance on a single data source underestimates and potentially misrepresents both the numbers and types of poisoning deaths occurring in the state. They also believe the files of the medical examiner are an underappreciated, rich source of data concerning out-of-hospital deaths due to poisonings and intoxications. Their findings suggest that the regional poison center is an underused resource for the management of seriously poisoned patients. There is a need for a better working relationship between poison centers and area hospitals so that all serious intoxications and poisonings are reported to the poison center in a timely fashion.
Health department epidemiologists in 50 states, New York City, and the District of Columbia were surveyed in 1985 about seven potential data sources for occupational disease surveillance. Reported sources of occupational disease data were: automated workers' compensation claims (63 per cent of the 52 respondents); provider reports (62 per cent); death certificates with occupation or industry (60 per cent); cancer registries with occupational histories (35 per cent); birth certificates with parent's occupation (27 per cent); non-cancer disease registries (13 per cent); and hospital or insurance records (8 per cent).
The extensive literature on eye epidemiology was selectively reviewed to provide a concise and comprehensive summary on the current status of available data sources. The topics being covered were epidemiologic data evaluation, data handling, card registration, computer analysis, geographic factors, socio-economic conditions, personal attributes, genetic backgrounds, twin analysis and laboratory procedures for host defense factors including humoral and cellular immunity. Also, the scope of this article encompassed such major practical issues as glaucoma, cataract and other blinding diseases as well as traffic and occupational hazards. Epidemiologic information thus obtainable through data searching may prove tobe instrumental in the identification of any potential preventive measures in ophthalmology and public health.
Self-monitoring of blood glucose is widely accepted by patients today, but its usefulness to clinicians has been seriously limited by our inability to interpret the patient-generated data. It is difficult or impossible to make optimal use of hand-kept diaries, no matter how compulsively kept. Patterns elude us, summaries are inaccurate, and large blocks of data are almost entirely ignored. To remedy these problems, data source automation--the automatic recording of data at their site of origin--is being applied to diabetes. Meters will measure blood glucose and memorize the result, date, and time of day. One system even allows the patient to record insulin dosage, exercise, and diet. The advantage of these systems lies in their potential for data management. Recognition of patterns of blood glucose concentration, easy longitudinal comparison of data, and aggregation of large data bases are all facilitated by computerized manipulation of the stored data. In-hospital use of glucose meters can have better documented quality control. It is possible to communicate data to physicians by telephone modem. Effective use of these systems, though, requires convenient software; and their acceptance in actual clinical practice must be demonstrated. But data management capabilities, as they are refined and brought into common use, could significantly improve diabetic management.
BACKGROUND: Ecological niche models (ENMs) and analyses of niche overlap/divergence have become popular methods in ecology and evolutionary biology. These analyses rely on environmental data available from several databases. However, the influence of data sources on these analyses is rarely tested. Here, we test the impact of climatic data choice on the prediction of current and Plio-Pleistocene suitable habitats for two distantly related, but broadly sympatric, salamanders endemic to the Korean Peninsula. We ran MaxEnt separately on WorldClim and CHELSA climate data. We then hindcasted ENMs to five time periods of the Plio-Pleistocene, bracketing the estimated intraspecific divergence times for these species. We then quantified the differences in predictions between WorldClim- and CHELSA-based models. Also, given the sympatry and similar habitat requirements of the two species, we tested for niche overlaps using niche identity and background tests and tested the sensitivity of the results to climatic data choice. RESULTS: The ENMs successfully predicted contemporary suitable habitats for the two species. However, the predictions were highly sensitive to climatic data choice as well as variable combinations. The hindcasted ENMs produced contrasting predictions depending on the choice of climatic dataset and failed to predict suitable habitats for some Pleistocene time periods regardless of the climatic data choice. The niche analyses were also sensitive to climatic data choice, with results suggesting either niche overlaps or divergence depending on the climatic dataset used for the analyses. CONCLUSIONS: Our study highlights the influence of climatic data choice on the outcomes of ENMs and niche analyses. Our results also underscore the limitations of macroclimate-based ENMs, especially when the species is likely buffered from macroclimatic changes by microhabitat. We argue for the need for additional ecological, ecophysiological, and population genomic studies to better understand the range formation of these enigmatic species.
A recent analysis of data from earlier papers on the relationship between dental caries and drinking water fluoride concentration suggested that the commonly accepted inverse relationship did not exist. Our reanalysis of those data, however, confirms the well-known association between fluoride concentration and dental caries. It also shows that the contrary result arose misleadingly from three simultaneous methodological errors: use of a unifactorial instead of a multifactorial model; omission of or over-aggregation of some data, and analysis of homoscedastic probits instead of heteroscedastic counts.
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This article provides an overview of health data available in the former USSR. It is not all-inclusive in terms of chronic diseases covered or in details of data collection activities carried out. However, several broad conclusions can be drawn: There is a system of population and mortality data collection which covers the former USSR and which can be disaggregated to smaller administrative areas. The system is being exploited by population specialists, demographers, medical demographers and epidemiologists, both nationally and internationally, both for analytical purposes and as part of health monitoring systems. A national-level data-collection system for morbidity and disability, based on delivery of health services, is in place and is exploited by both health researchers and health planners. The shortcomings of such a health service-based statistical system are well recognized. Further standardization or calibration of measures of total and cause-specific morbidity and disability measures should be examined. A potential calibration tool is the 1988-1993 health examination and interview survey covering a representative (but highly clustered) sample of the former USSR population. The possibilities of greater standardization of measurement procedures used in this survey should also be investigated. In certain disease areas, e.g. cardiovascular diseases, cancer, rheumatic diseases and gerontology, clinical and epidemiological studies involving international collaboration have been carried out. This has resulted in the use of internationally accepted disease definitions, diagnostic procedures, and of clinical and laboratory standardization of demographic, social and biological measurements. Participation in multilateral or bilateral studies should be encouraged in research in disease areas where these types of programmes have not yet been instituted.(ABSTRACT TRUNCATED AT 250 WORDS)
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