PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “data accessibility”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 613 records · Page 34Linked to original sources

Data sources for pharmacoeconomic and health services research.

Different types of databases available for health-related research, the data contained in these databases, and potential applications for pharmacists or researchers are discussed. Case studies that demonstrate uses for health databases are presented. Databases can be organized by facility, by health care provider, by disease or organ, or by sector. The types of data they contain include financial data, utilization data, demographic data, and outcomes data. Data can be obtained from the public sector, the private sector, or the researcher's own health system. The costs and time associated with using existing databases are often less than those required to collect data, but the quality and accessibility of the data must also be considered. The researcher's choice of database will depend on the research question. Health care databases can be used for health management and decision-making, quality review and evaluation, outcomes research, episode-of-illness studies, and evaluation of treatment protocols. Researchers must comply with patient-confidentiality and other agreements when accessing data. The format of the data needs to be matched with the hardware and software to be used in the analysis, and the data need to be loaded, verified, and cleaned before use. In deciding which of the many available data sources to use, researchers must determine the appropriate balance between external data and data available within their own health systems. The decision on whether to use existing data sources or to collect data prospectively will depend on the research question, the available resources, and the scope of the study.

Computer Communication Networks↗

Care pathway reduces hospitalizations and cost for hemodialysis vascular access surgery.

Hemodialysis vascular access-related hospitalizations account for more than 20% of United States end-stage renal disease (ESRD) hospitalizations, with an annual cost approximating $675 million. Limiting access-related costs while delivering similar degrees of quality care thus would enhance alternative utilization of ESRD funding. We implemented a vascular access care pathway emphasizing coordinated patient evaluation and outpatient surgery to determine whether such an intervention affected outcomes associated with vascular access surgery. Data examining hospitalization and vascular access surgery charges, complications, and patient satisfaction (determined by questionnaire) were analyzed, comparing patients who underwent vascular access surgery in 1994 and 1995 as inpatients (non-care pathway patients) and patients who underwent vascular access surgery via the care pathway in 1995. Inpatient days declined in 1995 (1994: 582 days; 1995: 85 days; P < 0.03) and the average charges per patient for the care pathway cohort were significantly less than charges per patient in 1994 and charges for non-care pathway patients in 1995 (1994 patients: $10,524 +/- $5,209; 1995 non-care pathway patients: $11,196 +/- $5,806; 1995 care pathway patients: $4,686 +/- $2,912/patient; P < 0.02). Incidence rates for major (life-threatening) complications were not significantly different between 1994 patients and care pathway patients in 1995. However, the 1995 non-care pathway patients had a higher incidence of major complications (15.4%). Forty-seven repeat access procedures were performed in 29 patients in 1994 versus 35 repeat access procedures in 22 care pathway patients in 1995, and 12 repeat access procedures were performed in eight non-care pathway patients in 1995. Finally, a majority of the patients entered into the care pathway who responded to a survey stated that they were satisfied with access surgery via the care pathway. These data suggest that a vascular access care pathway can reduce hospital days and costs while achieving acceptable outcomes for access surgery.

Ambulatory Surgical Procedures↗

Accessing and distributing EMBL data using CORBA (common object request broker architecture).

BACKGROUND: The EMBL Nucleotide Sequence Database is a comprehensive database of DNA and RNA sequences and related information traditionally made available in flat-file format. Queries through tools such as SRS (Sequence Retrieval System) also return data in flat-file format. Flat files have a number of shortcomings, however, and the resources therefore currently lack a flexible environment to meet individual researchers' needs. The Object Management Group's common object request broker architecture (CORBA) is an industry standard that provides platform-independent programming interfaces and models for portable distributed object-oriented computing applications. Its independence from programming languages, computing platforms and network protocols makes it attractive for developing new applications for querying and distributing biological data. RESULTS: A CORBA infrastructure developed by EMBL-EBI provides an efficient means of accessing and distributing EMBL data. The EMBL object model is defined such that it provides a basis for specifying interfaces in interface definition language (IDL) and thus for developing the CORBA servers. The mapping from the object model to the relational schema in the underlying Oracle database uses the facilities provided by PersistenceTM, an object/relational tool. The techniques of developing loaders and 'live object caching' with persistent objects achieve a smart live object cache where objects are created on demand. The objects are managed by an evictor pattern mechanism. CONCLUSIONS: The CORBA interfaces to the EMBL database address some of the problems of traditional flat-file formats and provide an efficient means for accessing and distributing EMBL data. CORBA also provides a flexible environment for users to develop their applications by building clients to our CORBA servers, which can be integrated into existing systems.

Computational Biology↗

Databases for protein-ligand complexes.

Recent advances in experimental techniques have led to an enormous explosion of available data about protein-ligand complexes. To exploit the information that is hidden in these large data, collection tools for managing and accessing huge data collections are needed. This paper discusses databases for protein-ligand data which are accessible via the World Wide Web. A strong focus is placed on the ReLiBase database system which is a new three-dimensional database for storing and analysing structures of protein-ligand complexes currently deposited in the Brookhaven Protein Data Bank (PDB). ReLiBase contains efficient query tools for identifying and analysing ligands and protein-ligand complexes. Its application for structure-based drug design is illustrated.

Databases, Factual↗

Food Animal Residue Avoidance Databank (FARAD): a pharmacokinetic-based information resource.

The Food Animal Residue Avoidance Databank (FARAD) is a pilot project funded through the USDA Extension Service. It represents a major effort to compile into a single source large amounts of information on veterinary pharmaceutics, pharmacokinetics and physiochemical properties of drugs and other chemicals used in livestock production. FARAD is a computer-based system consisting of five data and numerous command files that access the data files to facilitate rapid input and retrieval of the desired information. The data files include proprietary information on all pharmaceutical products approved for use in food animals in the United States; physicochemical information on more than 100 chemicals contained in the databank; regulatory information pertaining to tolerance and action levels of chemical residues in animal products and allowable concentrations of drugs in feed; pharmacokinetic rate and volume constants pertinent to residue depletion modeling in a variety of species; bibliographic citations to which all of the information contained in the databank is referenced. All of the information in FARAD is currently available through three regional access centers in the United States, and direct computer access to the data may become available in the future.

Anti-Bacterial Agents↗

Providing easy access to distributed medical data.

Many hospitals are fragmented along departmental boundaries, leading to islands of information about patients. This makes data integration difficult, and therefore can increase hospital costs and reduce patient care. This paper presents an architecture to provide uniform and transparent access to computerized data and functions available in this kind of heterogeneous computer environment.

Computer Communication Networks↗

Survey of infection in hospitals: use of an automated data entry system.

This paper describes an automated approach to data entry which substantially reduced time and effort involved in infection control surveillance within a large teaching hospital. As part of our involvement in the Second National Prevalence Survey of infection in hospitals, a hospital-wide prevalence survey of infection was carried out during January and February 1994. We simultaneously entered the results manually into an "in-house' database to enable analysis of data within the hospital. The prevalence survey was repeated during January and February 1995 using a paper questionnaire designed "in-house' and read automatically using a sheet-fed optical scanner. There was a substantial 17-fold decrease in data entry time using this method compared with manual entry. The new approach enabled more rapid analysis of surveillance data and feedback to hospital staff. If hospital clinical data is collected routinely in a format suitable for scanning, then potentially useful data could be rendered accessible. Automated data entry systems are invaluable in reducing time spent on data input and should be considered by all those involved in surveillance and audit. There would appear to be little hope in the near future of having all patient clinical data in an electronic format so that the prospects for scanning initiatives are excellent.

Cross Infection↗

The "X-Ray RheumaCoach" software: a novel tool for enhancing the efficacy and accelerating radiological quantification in rheumatoid arthritis.

BACKGROUND: Precise diagnosis and follow up treatment of rheumatoid arthritis (RA) requires objective quantification, which is still lacking. For this purpose, radiological analyses are considered to be the most appropriate method. OBJECTIVE: To develop computer assisted quantification software that is particularly applicable to joint scoring in rheumatic disorders. METHODS: 3914 radiographs from hands and feet of 190 patients with RA were collected, expertly examined, analysed, and statistically evaluated. Radiographs were quantified using the conventional Larsen score and the "X-Ray RheumaCoach" (XRRC) software. The XRRC is a Java stand alone application which can support and accelerate, but not fully automate, the scoring procedure in RA. The scorer can apply both the Larsen and the Ratingen-Rau scores. RESULTS: Compared with conventional scoring procedures, the XRRC software accelerated quantification time by approximately 25%. The program, which is now available on the internet free of charge, ran stably and proved to be a consistently valuable tool. CONCLUSIONS: Compared with conventional scoring methods, the XRRC software offers several advantages: (a) structured data analysis and input that minimises variance by standardisation; (b) faster and more precise calculation of sum scores and indices; (c) permanent data storing and fast access to the software's database; (d) the possibility of cross calculation to other scores; (e) "user friendly" technology and a dedicated help program; (f) fast access and data transfer through the internet if desired; and (g) reliable documentation of results in a specially designed printout.

Arthritis, Rheumatoid↗

Managing clinical research data: software tools for hypothesis exploration.

Data representation, data file specification, and the communication of data between software systems are playing increasingly important roles in clinical data management. This paper describes the concept of a self-documenting file that contains annotations or comments that aid visual inspection of the data file. We describe access of data from annotated files and illustrate data analysis with a few examples derived from the UNIX operating environment. Use of annotated files provides the investigator with both a useful representation of the primary data and a repository of comments that describe some of the context surrounding data capture.

Data Interpretation, Statistical↗

Can severity be predicted by treatment variables in rheumatoid arthritis administrative data bases?

OBJECTIVE: Administrative data bases provide rapid access to data regarding treatment and morbidity of rheumatoid arthritis (RA). A serious limitation of administrative data bases is the lack of information regarding RA severity, as in the case of lymphoma, where RA severity may contribute to the cause of the adverse outcome. We examined whether treatment variables could predict RA severity. METHODS: We studied 7541 patients with RA who were participating in a longitudinal study of RA outcomes. Disease severity was determined by the Patient Activity Scale (PAS), which represents on a 0 to 10 scale the mean of 0-10 standardized values of pain (by visual analog scale), patient global severity, and the Health Assessment Questionnaire. We tested the ability of disease modifying antirheumatic drugs (DMARD) and biologic treatment variables and the lifetime number of these treatments to predict severity status. The receiver-operating characteristic (ROC) area under the curve (AUC) was used to describe the association between severity and treatment variables. RESULTS: There was little difference in PAS scores between various treatments and treatment groups, including scores of the 18.3% of patients receiving no DMARD or biologic therapy. The ROC AUC to distinguish PAS scores above and below the median was 0.64 (60.5% correctly classified) and was 0.70 (67.2% correctly classified) in distinguishing first compared to fourth quartiles PAS scores. CONCLUSION: Treatment variables do not accurately or usefully identify severity status. As a corollary, there is little difference in severity between patients receiving different treatment regimens, and actual measures of severity rather than treatment surrogates are required to assess RA severity.

Aged↗

Microcomputers and the future of epidemiology.

The Workshop on Microcomputers and the Future of Epidemiology was held March 8-9, 1993, at the Turner Conference Center, Atlanta, GA, with 130 public health professionals participating. The purpose of the workshop was to define microcomputer needs in epidemiology and to propose future initiatives. Thirteen groups representing public health disciplines defined their needs for better and more useful data, development of computer technology appropriate to epidemiology, user support and human infrastructure development, and global communication and planning. Initiatives proposed were demonstration of health surveillance systems, new software and hardware, computer-based training, projects to establish or improve data bases and community access to data bases, improved international communication, conferences on microcomputer use in particular disciplines, a suggestion to encourage competition in the production of public-domain software, and longrange global planning for epidemiologic computing and data management. Other interested groups are urged to study, modify, and implement those ideas.

Epidemiology↗

The development of The Society of Thoracic Surgeons voluntary national database system: genesis, issues, growth, and status.

BACKGROUND: The purpose of this communication is to demonstrate the feasibility of a voluntary national cardiac surgical database. METHODS: The genesis of the Society of Thoracic Surgeons (STS) National Cardiac and General Thoracic Surgery Databases in the interval of 1986 to 1990 is described. The issues facing the Committee in the initial decision making processes are discussed choosing a society-based, in-house activity versus using an outside vendor, private practice needs versus academic ones; open versus closed membership and vendors, risk stratification; data quality; audit; and access to data. RESULTS: In the 6 years of operation the STS cardiac surgical database has grown from 41,000 to 706,000 patients. The number of practice groups, hospitals, and surgeons has increased from 26 to 624, 32 to 750, and 120 to 1850, respectively. All but one state is represented, as are more than 400 teaching hospitals, including 28 Veterans Administration hospitals and 60 university centers. CONCLUSIONS: The STS database system has become firmly established and is a model for other societies and associations. The data placed yearly in the public domain have become a national standard.

Cardiology Service, Hospital↗

Administrative data for quality improvement.

This article discusses the use of administrative data for quality improvement in perinatal and neonatal medicine. We review the nature of administrative data and focus on hospital discharge abstract data as the primary source of hospital- and community-based assessments. Although discharge abstract data lack the richness of primary data, these data are the most accessible comparative data source for examining all patients admitted to a hospital. When aggregated to the state level as occurs in more than 30 states, hospital discharge data reflects hospital utilization and outcomes for an entire geographic population at the state and community level. This article reviews some of the weaknesses of administrative data and then focuses how these data can be used for hospital- and community-based assessment of perinatal care citing as examples the measures of perinatal process and outcome used by the National Perinatal Information Center in its Quality/Efficiency Reports for member hospitals and a study of perinatal high-risk care in the State of Florida. The use of discharge abstract data for performance measurement at either the hospital or the system level requires a thorough understanding of how to select a patient group, its characteristics, the intervention, and the outcomes relevant to that patient group. In the perinatal arena, the National Perinatal Information Center has selected and presents those measures that rely on data items shown to be the most reliable based on validity studies and clinician opinion, delineation of the intervention, and the measurement of what occurred. As hospitals respond to the recent pressures of the Joint Commission on Accreditation of Healthcare Organizations and other quality assurance entities, the accuracy of the discharge data will improve. With accepted caution, these data sets are invaluable to researchers studying comparative populations over time or across large geographic areas.

Birth Weight↗

Accessing third-party data for research: trust me? Trust me not?

Epidemiologists are often asked to evaluate product safety or provide information about the history of disease and use of health services. Most of this research is conducted through sponsorship from a governmental or other non-profit agency, or with direct support from a for-profit company with an economic interest in the outcome. Vast amounts of information that are routinely collected for administrative and billing purposes may also be used for research. These data can reveal information about the etiology of disease, utilization patterns of prescription drugs, and trends in disease occurrence. Using third-party data requires a trusting partnership between researchers and data custodians. Although such data offer public health benefits, their use can also lead to embarrassment and legal action. Five guiding principles will help outside contractors facilitate access to third-party data and avoid pitfalls. (1) Understand the sponsor's objectives by understanding the purpose of the research. (2) Identify and approach data resources that have appropriate information. (3) Consider special issues relating to accessing confidential information. (4) Establish terms of the research engagement with the sponsor. (5) Establish ground rules with the data provider.

Confidentiality↗

Data standards: a call to action.

Access to data is something that every molecular biologist takes for granted nowadays, but data alone is of little use unless it is made available in a useable form through the development and global uptake of data standards. The challenge of standards development has been taken up by grass-roots movements working within several different branches of the biomedical research community. Many of these initiatives are proving extremely successful; for example, the Gene Ontology, which provides a controlled vocabulary for describing the properties of gene products, the Microarray Gene Expression Data Society's standards for describing microarray experiments, and the emerging standards developed by the Proteomics Standards Initiative are gaining broad acceptance. Standards development now faces its greatest ever challenge--the integration of diverse data types to fulfill the goals of systems biology. Now is the time for the communities that are developing these standards, the funding bodies that have invested so heavily in high-throughput data generation, and the publishers of biomedical research papers to cooperate fully to make the goals of integrated data analysis a reality.

Animals↗

Remote access to neurosurgical ICU physiological data using the World Wide Web.

There is a significant demand by physicians and clinical researchers for remote access to continuously acquired physiological patient data. Until recently such access was technically unfeasible. However, with the recent development of Internet-based World Wide Web (WWW) client/server applications and underlying communication protocols, there is now a real possibility for the development of cost-effective, platform independent solutions to this problem. We have devised a way using existing WWW tools and minimal startup costs to provide access to current as well as previously acquired physiological patient data. Physicians and clinical researchers can obtain access to these data through personal computers located in the office, at home or even through portable computers while traveling to conferences or while on vacation.

Computer Communication Networks↗

Keeping up with the cancer literature--PDQ ACCESS.

Physician Data Query (PDQ) (National Cancer Institute [NCI], Bethesda, MD) and CANCERLIT (NCI, Bethesda, MD) are two online cancer information databases. PDQ summarizes current cancer therapy literature into specific treatment recommendations. CANCERLIT is a bibliographic system similar to MEDLINE (National Library of Medicine [NLM], Bethesda, MD) that provides a comprehensive source of literature citations for the field of cancer. In this report, we discuss linking PDQ and CANCERLIT with PDQ ACCESS (NCI, Bethesda, MD)--a custom software package that makes searching the cancer literature easy for the practicing physician unfamiliar with database searching.

Humans↗