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Physician response to the United Mine Workers' cost-sharing program: the other side of the coin.

The effect of cost sharing on health services utilization is analyzed from a new perspective, that is, its effects on physician response to cost sharing. A primary data set was constructed using medical records and billing files from a large multispecialty group practice during the three-year period surrounding the introduction of cost sharing to the United Mine Workers Health and Retirement Fund. This same group practice also served an equally large number of patients covered by United Steelworkers' health benefit plans, for which similar utilization data were available. The questions addressed in this interinsurer study are: (1) to what extent does a physician's treatment of medically similar cases vary, following a drop in patient visits as a result of cost sharing? and (2) what is the impact, if any, on costs of care for other patients in the practice (e.g., "spillover effects" such as cost shifting)? Answers to these kinds of questions are necessary to predict the effects of cost sharing on overall health care costs. A fixed-effects model of physician service use was applied to data on episodes of treatment for all patients in a private group practice. This shows that the introduction of cost sharing to some patients in a practice does, in fact, increase the treatment costs to other patients in the same practice who remain under stable insurance plans. The analysis demonstrates that when the economic effects of cost sharing on physician service use are analyzed for all patients within a physician practice, the findings are remarkably different from those of an analysis limited to those patients directly affected by cost sharing.

Cost Sharing↗

Considerations of statistical power in the shared-haplotypes test.

This paper considers statistical power properties of a test of whether a disease is caused by a recessive gene, using data on HLA sharing properties of affected sibs. It is found that the test has very poor power characteristics, and in particular we are sometimes just as likely to accept the hypothesis that the gene is recessive when it is dominant as when it is truly recessive.

Child↗

Pressure ulcer pain.

OBJECTIVE: To describe and interpret the complexities of the pain experienced by persons with painful pressure ulcers. DESIGN: Heideggerian hermeneutic phenomenology. SETTING AND SUBJECTS: Ten participants with pressure ulcers hospitalized in an acute-care community hospital were interviewed. METHODS: Multiple taped interviews, transcripts, and field notes were collected over an 8-month period. Data analysis occurred over a 16-month period and included an initial process of naming the text, identifying themes, and writing the interpretations of each participant's story. Secondary analysis comprised reading across the texts for commonalities and shared meanings. These data were related to other literature sources, shared with a team of researchers familiar with the Heideggerian hermeneutic phenomenology process, and with wound, ostomy, and continence nurses. RESULTS: A total of 22 themes and 1 constitutive pattern were identified. Participants with varying stages of pressure ulcers shared poignant stories about their pain. Many related their accounts and instances of actions by health personnel and the treatment interventions that were painful. Some related their accounts of communication failures that contributed to stress, tension, and anxiety. CONCLUSIONS: The findings of this study clearly indicate the need for increased attention to pain assessment and pain management in nursing education, nursing practice, and nursing research. The findings also suggest that the commonly used definition of pain is insufficient and needs revision.

Adaptation, Psychological↗

Towards data warehousing and mining of protein unfolding simulation data.

OBJECTIVES: The prediction of protein structure and the precise understanding of protein folding and unfolding processes remains one of the greatest challenges in structural biology and bioinformatics. Computer simulations based on molecular dynamics (MD) are at the forefront of the effort to gain a deeper understanding of these complex processes. Currently, these MD simulations are usually on the order of tens of nanoseconds, generate a large amount of conformational data and are computationally expensive. More and more groups run such simulations and generate a myriad of data, which raises new challenges in managing and analyzing these data. Because the vast range of proteins researchers want to study and simulate, the computational effort needed to generate data, the large data volumes involved, and the different types of analyses scientists need to perform, it is desirable to provide a public repository allowing researchers to pool and share protein unfolding data. METHODS: To adequately organize, manage, and analyze the data generated by unfolding simulation studies, we designed a data warehouse system that is embedded in a grid environment to facilitate the seamless sharing of available computer resources and thus enable many groups to share complex molecular dynamics simulations on a more regular basis. RESULTS: To gain insight into the conformational fluctuations and stability of the monomeric forms of the amyloidogenic protein transthyretin (TTR), molecular dynamics unfolding simulations of the monomer of human TTR have been conducted. Trajectory data and meta-data of the wild-type (WT) protein and the highly amyloidogenic variant L55P-TTR represent the test case for the data warehouse. CONCLUSIONS: Web and grid services, especially pre-defined data mining services that can run on or 'near' the data repository of the data warehouse, are likely to play a pivotal role in the analysis of molecular dynamics unfolding data.

Computational Biology↗

Inequality and mortality: long-run evidence from a panel of countries.

We investigate whether changes in economic inequality affect mortality in rich countries. To answer this question we use a new source of data on income inequality: tax data on the share of pretax income going to the richest 10% of the population in Australia, Canada, France, Germany, Ireland, the Netherlands, New Zealand, Spain, Sweden, Switzerland, the UK, and the US between 1903 and 2003. Although this measure is not a good proxy for inequality within the bottom half of the income distribution, it is a good proxy for changes in the top half of the distribution and for the Gini coefficient. In the absence of country and year fixed effects, the income share of the top decile is negatively related to life expectancy and positively related to infant mortality. However, in our preferred fixed-effects specification these relationships are weak, statistically insignificant, and likely to change their sign. Nor do our data suggest that changes in the income share of the richest 10% affect homicide or suicide rates.

Developed Countries↗

Cognitive ability and academic achievement in the Colorado Adoption Project: a multivariate genetic analysis of parent-offspring and sibling data.

To test the hypothesis that the etiology of covariation among measures of cognitive ability and academic achievement is due at least in part to shared genetic influences, data from 198 adoptive and 220 nonadoptive families participating in the Colorado Adoption Project were subjected to multivariate behavioral genetic analyses. Data on measures of cognitive ability (verbal comprehension and perceptual organization) and academic achievement (reading recognition and mathematics achievement) from related and unrelated sibling pairs tested at age 7, as well as from adoptive and nonadoptive parents, were analyzed. Phenotypic analyses confirmed previous findings of moderate correlations among measures of cognitive ability and achievement, averaging about .35. Although 54% of the covariation between reading and mathematics achievement was due to influences shared with verbal ability, a significant proportion of this covariation was independent of the cognitive ability measures. Heritabilities for the various measures were moderate, ranging from .21 to .37. Moreover, genetic influences accounted for 33-64% of their phenotypic covariation; for example, 33-60% of the observed correlations between verbal comprehension and the achievement measures, 64% of those between perceptual organization and the achievement measures, and 63% of that between reading recognition and mathematics achievement were due to shared genetic influences. Similar to the results of the phenotypic analysis, nearly half of the genetic covariance between reading and mathematics achievement was independent of cognitive ability. Their remaining covariance was due primarily to nonshared environmental influences.

Adoption↗

Considerations for using a geographic information system to assess environmental supports for physical activity.

The use of a geographic information system (GIS) to study environmental supports for physical activity raises several issues, including acquisition and development, quality, and analysis. We recommend to public health professionals interested in using GIS that they investigate available data, plan for data development where none exists, ensure the availability of trained personnel and sufficient time, and consider issues such as data quality, analyses, and confidentiality. This article shares information about data-related issues that we encountered when using GIS to validate responses to a questionnaire about environmental supports for physical activity.

Crime↗

Use of metadata registry for nursing: A customer-centered electronic health record.

An online metadata registry promotes cross-system and cross-organization descriptions of common units of health data. Nurses must have a method to share health information and transmit nursing data. Health information sharing through an online metadata registry allows nurses, health administrators, and hospital systems to make significant strides towards improving customer-centered electronic health records, patient safety, reducing errors, lowering healthcare costs, and strengthening public health and disaster preparedness initiatives.

Medical Records Systems, Computerized↗

Three-dimensional computed tomography imaging in craniofacial surgery: morphological study and clinical applications.

Three-dimensional carniofacial CT imaging has been developed and progressed during the past two decades. The advancement of the hardware and software has made the imaging study more convenient, user friendly, and affordable. Processing and analysis of the imaging data are readily performed on personal computers. Accuracy of the 3-dimensional measurement has been validated. Collaborative study can be achieved with other departments or disciplines, such as orthopedic, otolaryngologic, and dental departments, as well as mechanical engineering department. All the data should be adequately archived as medical imaging data bank for later use. The data can be transferred for production of rapid prototyping models to enhance clinical application. Inter-center sharing of imaging data can be done through common image format. Comprehensive morphological study and clinical information may help to improve or refine treatment planning, which in turn yield better treatment outcome.

Craniofacial Abnormalities↗

Pregnancy rates in donors versus recipients according to the serum progesterone level at the time of human chorionic gonadotropin in a shared oocyte program.

Previous data suggested a subtle increase in serum P at the time of hCG injection without LH surge reduces the PR of women having oocyte retrievals for IVF; this study compared PRs of recipients in a shared oocyte program according to the donors' pre-hCG P level. There was no difference in viable PRs between recipients and donors when P < or = 1 ng/mL. The PR was similar for recipients when donors' P was > 1 ng/mL (12.7%). Donors with P > 1 ng/mL had the lowest PR: 7.2%. The data suggest that the adverse effect of higher serum P without LH surge may be on the endometrium rather than the oocyte.

Chorionic Gonadotropin↗

PSSARD: protein sequence-structure analysis relational database.

We have implemented a relational database comprising a representative dataset of amino acid sequences and their associated secondary structure. The representative amino acid sequences were selected according to the PDB_SELECT program by choosing proteins corresponding to protein crystal structure data deposited in the protein data bank that share less than 25% overall pair-wise sequence identity. The secondary structure was extracted from the protein data bank website. The information content in the database includes the protein description, PDB code, crystal structure resolution, total number of amino acid residues in the protein chain, amino acid sequence, secondary structure conformation and its summary. The database is freely accessible from the website mentioned below and is useful to query on any of the above fields. The database is particularly useful to quickly retrieve amino acid sequences that are compatible to any super-secondary structure conformation from several proteins simultaneously.

Amino Acid Sequence↗

Microarray databases: standards and ontologies.

A single microarray can provide information on the expression of tens of thousands of genes. The amount of information generated by a microarray-based experiment is sufficiently large that no single study can be expected to mine each nugget of scientific information. As a consequence, the scale and complexity of microarray experiments require that computer software programs do much of the data processing, storage, visualization, analysis and transfer. The adoption of common standards and ontologies for the management and sharing of microarray data is essential and will provide immediate benefit to the research community.

Database Management Systems↗

Integrating linkage and radiation hybrid mapping data for bovine chromosome 15.

BACKGROUND: Bovine chromosome (BTA) 15 contains a quantitative trait loci (QTL) for meat tenderness, as well as several breaks in synteny with human chromosome (HSA) 11. Both linkage and radiation hybrid (RH) maps of BTA 15 are available, but the linkage map lacks gene-specific markers needed to identify genes underlying the QTL, and the gene-rich RH map lacks associations with marker genotypes needed to define the QTL. Integrating the maps will provide information to further explore the QTL as well as refine the comparative map between BTA 15 and HSA 11. A recently developed approach to integrating linkage and RH maps uses both linkage and RH data to resolve a consensus marker order, rather than aligning independently constructed maps. Automated map construction procedures employing this maximum-likelihood approach were developed to integrate BTA RH and linkage data, and establish comparative positions of BTA 15 markers with HSA 11 homologs. RESULTS: The integrated BTA 15 map represents 145 markers; 42 shared by both data sets, 36 unique to the linkage data and 67 unique to RH data. Sequence alignment yielded comparative positions for 77 bovine markers with homologs on HSA 11. The map covers approximately 32% of HSA 11 sequence in five segments of conserved synteny, another 15% of HSA 11 is shared with BTA 29. Bovine and human order are consistent in portions of the syntenic segments, but some rearrangement is apparent. Comparative positions of gene markers near the meat tenderness QTL indicate the region includes separate segments of HSA 11. The two microsatellite markers flanking the QTL peak are between defined syntenic segments. CONCLUSIONS: Combining data to construct an integrated map not only consolidates information from different sources onto a single map, but information contributed from each data set increases the accuracy of the map. Comparison of bovine maps with well annotated human sequence can provide useful information about genes near mapped bovine markers, but bovine gene order may be different than human. Procedures to connect genetic and physical mapping data, build integrated maps for livestock species, and connect those maps to more fully annotated sequence can be automated, facilitating the maintenance of up-to-date maps, and providing a valuable tool to further explore genetic variation in livestock.

Animals↗

Integration of gel-based proteome data with pProRep.

UNLABELLED: pProRep is a web application integrating electrophoretic and mass spectral data from proteome analyses into a relational database. The graphical web-interface allows users to upload, analyse and share experimental proteome data. It offers researchers the possibility to query all previously analysed datasets and can visualize selected features, such as the presence of a certain set of ions in a peptide mass spectrum, on the level of the two-dimensional gel. AVAILABILITY: The pProRep package and instructions for its use can be downloaded from http://www.ptools.ua.ac.be/pProRep. The application requires a web server that runs PHP 5 (http://www.php.net) and MySQL. Some (non-essential) extensions need additional freely available libraries: details are described in the installation instructions.

Computational Biology↗

Surveillance for selected maternal behaviors and experiences before, during, and after pregnancy. Pregnancy Risk Assessment Monitoring System (PRAMS), 2000.

PROBLEM/CONDITION: Various maternal behaviors and experiences are associated with adverse health outcomes for both the mother and the infant. These behaviors and experiences can occur before pregnancy (e.g., insufficient intake of folic acid), during pregnancy (e.g., complications requiring hospitalization, such as high blood pressure), and after pregnancy (e.g., inadequate follow-up of infants who were discharged early). Information regarding maternal behaviors and experiences is needed to monitor trends, to enhance the understanding of the relations between behaviors and health outcomes, to plan and evaluate programs, to direct policy decisions, and to monitor progress toward Healthy People 2010 objectives (US Department of Health and Human Services. Healthy People 2010. 2nd. ed. With understanding and improving health and objectives for improving health [2 vols.]. Washington DC: US Department of Health and Human Services, 2000). REPORTING PERIOD COVERED: This report covers data for 2000. DESCRIPTION OF SYSTEM: The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing, state- and population-based surveillance system designed to monitor selected self-reported maternal behaviors and experiences that occur before, during, and after pregnancy among women who deliver a live-born infant in 31 states and New York City. PRAMS employs a mixed-mode data collection methodology; as many as three self-administered surveys are mailed to a sample of mothers, and nonresponders are followed up with a telephone interview. Self-reported survey data are linked to selected birth certificate data and weighted for sample design, nonresponse, and noncoverage to create annual PRAMS analysis data sets. PRAMS data can be used to produce statewide estimates of various perinatal health behaviors and experiences among women delivering a live infant. Four indicators for the year 2000 (multivitamin use, pregnancy-related complications, infant checkup, and postpartum contraceptive use) from 19 states are examined in this report. RESULTS: In 2000, the prevalence of multivitamin use > or =4 times per week in the month before pregnancy ranged from 25.0% to 40.7% across the 19 states. Prevalence of pregnancy-related complications requiring hospitalization ranged from 8.8% to 16.3%. Prevalence of infant checkups within 1 week of early (< or =48 hours) hospital discharge ranged from 51.5% to 88.6%. Prevalence of postpartum contraceptive use ranged from 77.9% to 89.9%. INTERPRETATION: PRAMS data indicate that 19 states are well below the Healthy People 2010 objective for folic acid consumption, as measured by multivitamin use. Data for infant checkups indicate that guidelines for care are not being followed for as many as half of those discharged early. However, data for additional years are needed to assess trends in these four indicators. PUBLIC HEALTH ACTION: State maternal and child health programs can use these population-based data to monitor progress toward Healthy People 2010 objectives, evaluate adherence to guidelines for care, and assess changes in prevalence of other health behaviors. The data can be shared with policy makers to direct policy decisions that might affect the health of mothers and infants. By providing data on maternal behaviors and experiences that are associated with adverse outcomes, PRAMS supports the activities of two CDC initiatives-to promote safe motherhood and to reduce infant mortality and low birthweight.

Contraception Behavior↗

Distributed structure-searchable toxicity (DSSTox) public database network: a proposal.

The ability to assess the potential genotoxicity, carcinogenicity, or other toxicity of pharmaceutical or industrial chemicals based on chemical structure information is a highly coveted and shared goal of varied academic, commercial, and government regulatory groups. These diverse interests often employ different approaches and have different criteria and use for toxicity assessments, but they share a need for unrestricted access to existing public toxicity data linked with chemical structure information. Currently, there exists no central repository of toxicity information, commercial or public, that adequately meets the data requirements for flexible analogue searching, Structure-Activity Relationship (SAR) model development, or building of chemical relational databases (CRD). The distributed structure-searchable toxicity (DSSTox) public database network is being proposed as a community-supported, web-based effort to address these shared needs of the SAR and toxicology communities. The DSSTox project has the following major elements: (1) to adopt and encourage the use of a common standard file format (structure data file (SDF)) for public toxicity databases that includes chemical structure, text and property information, and that can easily be imported into available CRD applications; (2) to implement a distributed source approach, managed by a DSSTox Central Website, that will enable decentralized, free public access to structure-toxicity data files, and that will effectively link knowledgeable toxicity data sources with potential users of these data from other disciplines (such as chemistry, modeling, and computer science); and (3) to engage public/commercial/academic/industry groups in contributing to and expanding this community-wide, public data sharing and distribution effort. The DSSTox project's overall aims are to effect the closer association of chemical structure information with existing toxicity data, and to promote and facilitate structure-based exploration of these data within a common chemistry-based framework that spans toxicological disciplines.

Carcinogens↗

The Telemedicine benchmark--a general tool to measure and compare the performance of video conferencing equipment in the telemedicine area.

In this paper, we describe the 'Telemedicine Benchmark' (TMB), which is a set of standard procedures, protocols and measurements to test reliability and levels of performance of data exchange in a telemedicine session. We have put special emphasis on medical imaging, i.e. digital image transfer, joint viewing and editing and 3D manipulation. With the TMB, we can compare the aptitude of different video conferencing software systems for telemedicine issues and the effect of different network technologies (ISDN, xDSL, ATM, Ethernet). The evaluation criteria used are length of delays and functionality. For the application of the TMB, a data set containing radiological images and medical reports was set up. Considering the Benchmark protocol, this data set has to be exchanged between the partners of the session. The Benchmark covers file transfer, whiteboard usage, application sharing and volume data analysis and compression. The TMB has proven to be a useful tool in several evaluation issues.

Benchmarking↗

Integrated breast diseases research and cancer registry in Turkey.

A system we call BDRS is implemented as an integrated disease specific system for breast diseases in order to obtain and use patient health data for clinical research, cancer registry and clinical care. It is an open, flexible and modular system that supports multi-institutional and multi-viewed utilization of health data. Three-tier web based architecture, and object oriented technologies have been employed to ensure its extendibility. Exchange and sharing of health data have been implemented with XML.

Biomedical Research↗