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Hospital management principles applicable to the veterinary teaching hospital.

The Skills, Knowledge, Aptitude, and Attitude (SKA) Subcommittee of the National Commission on Veterinary Economic Issues (NCVEI) has identified the need for veterinary teaching hospitals (VTH) to be at the forefront of progressive business management to serve as a model for both students and practitioners to emulate. To provide a foundation for developing a model, this study reviewed pertinent literature applicable to the management of a VTH. Much of the literature relevant to VTH management relates to work completed for the human side of medicine (academic health centers, or AHCs) or to the private sector. This review explores management practices in strategic planning, financial management, human resource management, marketing, pricing, operations, and legal issues. It is concluded that strategic management is important to provide the foundation for success in the VTH. In addition, periodic financial reports are recommended, as are the development and use of benchmarks for financial management. Establishing positive, motivating human resource practices is also suggested, along with development of a marketing plan based on a clear understanding of VTH core competencies and the market's specific needs.

Animals↗

Research protocol: EB-GIS4HEALTH UK - foundation evidence base and ontology-based framework of modular, reusable models for UK/NHS health and healthcare GIS applications.

EB-GIS4HEALTH UK aims at building a UK-oriented foundation evidence base and modular conceptual models for GIS applications and programmes in health and healthcare to improve the currently poor GIS state of affairs within the NHS; help the NHS understand and harness the importance of spatial information in the health sector in order to better respond to national health plans, priorities, and requirements; and also foster the much-needed NHS-academia GIS collaboration. The project will focus on diabetes and dental care, which together account for about 11% of the annual NHS budget, and are thus important topics where GIS can help optimising resource utilisation and outcomes. Virtual e-focus groups will ensure all UK/NHS health GIS stakeholders are represented. The models will be built using Protege ontology editor http://protege.stanford.edu/ based on the best evidence pooled in the project's evidence base (from critical literature reviews and e-focus groups). We will disseminate our evidence base, GIS models, and documentation through the project's Web server. The models will be human-readable in different ways to inform NHS GIS implementers, and it will be possible to also use them to generate the necessary template databases (and even to develop "intelligent" health GIS solutions using software agents) for running the modelled applications. Our products and experience in this project will be transferable to address other national health topics based on the same principles. Our ultimate goal is to provide the NHS with practical, vendor-neutral, modular workflow models, and ready-to-use, evidence-based frameworks for developing successful GIS business plans and implementing GIS to address various health issues. NHS organisations adopting such frameworks will achieve a common understanding of spatial data and processes, which will enable them to efficiently and effectively share, compare, and integrate their data silos and results for more informed planning and better outcomes.

Journal Article↗

Impact of HMO market structure on physician-hospital strategic alliances.

OBJECTIVE: To assess the impact of HMO market structure on the formation of physician-hospital strategic alliances from 1993 through 1995. The two trends, managed care and physician-hospital integration have been prominent in reshaping insurance and provider markets over the past decade. STUDY DESIGN: Pooled cross-sectional data from the InterStudy HMO Census and the Annual Survey conducted by the American Hospital Association (AHA) between 1993 and the end of 1995 to examine the effects of HMO penetration and HMO numbers in a market on the formation of hospital-sponsored alliances with physicians. Because prior research has found nonlinear effects of HMOs on a variety of dependent variables, we operationalized HMO market structure two ways: using a Taylor series expansion and cross-classifying quartile distributions of HMO penetration and numbers into 16 dummy indicators. Alliance formation was operationalized using the presence of any alliance model (IPA, PHO, MSO, and foundation) and the sum of the four models present in the hospital. Because managed care and physician-hospital integration are endogenous (e.g., some hospitals also sponsor HMOs), we used an instrumental variables approach to model the determinants of HMO penetration and HMO numbers. These instruments were then used with other predictors of alliance formation: physician supply characteristics, the extent of hospital competition, hospital-level descriptors, population size and demographic characteristics, and indicators for each year. All equations were estimated at the MSA level using mixed linear models and first-difference models. PRINCIPAL FINDINGS: Contrary to conventional wisdom, alliance formation is shaped by the number of HMOs in the market rather than by HMO penetration. This confirms a growing perception that hospital-sponsored alliances with physicians are contracting vehicles for managed care: the greater the number of HMOs to contract with, the greater the development of alliances. The models also show that alliance formation is low in markets where a small number of HMOs have deeply penetrated the market. First-difference models further show that alliance formation is linked to HMO consolidation (drop in the number of HMOs in a market) and hospital downsizing. Alliance formation is not linked to changes in hospital costs, profitability, or market competition with other hospitals. CONCLUSIONS: Hospitals appear to form alliances with physicians for several reasons. Alliances serve to contract with the growing number of HMOs, to pose a countervailing bargaining force of providers in the face of HMO consolidation, and to accompany hospital downsizing and restructuring efforts. IMPLICATIONS FOR POLICY, DELIVERY, OR PRACTICE: Physician-hospital integration is often mentioned as a provider response to increasing cost-containment pressures due to rising managed care penetration. Our findings do not support this view. Alliances appear to serve the hospital's interest in bargaining with managed care plans on a more even basis.

Delivery of Health Care, Integrated↗

Mucosal biofilm formation on middle-ear mucosa in a nonhuman primate model of chronic suppurative otitis media.

BACKGROUND: An increased awareness of bacterial biofilms and their formation has led to a better understanding of bacterial infections that occur in the middle ear. Perhaps the best studied pathogen for its propensity toward biofilm formation is Pseudomonas aeruginosa, also the primary pathogen in chronic suppurative otitis media (CSOM). OBJECTIVE: The aim of this study was to determine whether P. aeruginosa forms a biofilm in the middle ear in the setting of CSOM in a nonhuman primate model. METHODS: Cynomolgus monkeys underwent perforation of the tympanic membrane and inoculation of the middle ear with a known biofilm-forming strain of P. aeruginosa. The contralateral ear was used as an internal control and was neither perforated nor infected. At the end of the study period, both ears were irrigated to remove planktonic bacteria, and the middle ear mucosa was removed and examined ultrastructurally using scanning electron microscopy (SEM) for determination of the presence or absence of biofilm formation. MAIN OUTCOME MEASURE: The identification of middle ear biofilm containing rod-shaped bacteria. RESULTS: SEM revealed that P. aeruginosa formed bacterial biofilm in vivo on the middle ear mucosal surface, seen only in the infected ear. Interestingly, biofilm formation caused by cocci was also seen in both the experimental as well as the control ear. CONCLUSION: P. aeruginosa forms biofilms in the middle ear in CSOM in primates. To our knowledge, this is the first report of disease-associated bacterial biofilm in a nonhuman primate model of CSOM. Such a model lays a foundation for much needed study into the role of biofilms in the pathophysiology of CSOM. Should CSOM be caused by biofilms, which is uncertain at this time, development of novel strategies for treatment and prevention may be possible. The finding of both rods and cocci forming biofilms also warrants further investigation.

Animals↗

Statistical characterization of real-world illumination.

Although studies of vision and graphics often assume simple illumination models, real-world illumination is highly complex, with reflected light incident on a surface from almost every direction. One can capture the illumination from every direction at one point photographically using a spherical illumination map. This work illustrates, through analysis of photographically acquired, high dynamic range illumination maps, that real-world illumination possesses a high degree of statistical regularity. The marginal and joint wavelet coefficient distributions and harmonic spectra of illumination maps resemble those documented in the natural image statistics literature. However, illumination maps differ from typical photographs in that illumination maps are statistically nonstationary and may contain localized light sources that dominate their power spectra. Our work provides a foundation for statistical models of real-world illumination, thereby facilitating the understanding of human material perception, the design of robust computer vision systems, and the rendering of realistic computer graphics imagery.

Contrast Sensitivity↗

Empirical comparison of the MEG and EEG: animal models of the direct cortical response and epileptiform activity in neocortex.

This review directly addresses the appropriateness of the dipole model as a physical representation of neocortical sources produced by evoked and spontaneous epileptiform activity in neocortex. Three dimensional electrical measurements of cellular currents in rat sensory neocortex are compared to the extracranial magnetic fields these currents produce. Comparisons are performed for the direct cortical response (DCR) evoked by electrical stimulation of the cortical surface, and for evoked and spontaneous interictal and ictal discharge of the penicillin focus in the same animal preparation. Our data support the hypothesis that evoked and epileptiform magnetic fields result from intradendritic currents oriented perpendicular to the cortical surface. Furthermore, magnetic fields can be detected from epileptic foci smaller than 3 x 3 mm2. This work provides an empirical foundation for physical models with which to interpret noninvasive neuromagnetic recordings of epileptic discharge in human focal seizure disorders. The dipole approximation appears to be appropriate for the interpretation of magnetic field phenomena in neocortex.

Animals↗

The neurophysiological basis of epileptiform magnetic fields and localization of neocortical sources.

In this review, we present animal studies that evaluate the appropriateness of the dipole model as a physical representation of neocortical sources produced by evoked and spontaneous epileptiform activity in neocortex. Three-dimensional electrical measurements of cellular currents in rat sensory neocortex are compared to associated extracranial magnetic fields. Comparisons are performed for the direct cortical response evoked by electrical stimulation of the cortical surface, and for evoked and spontaneous interictal and ictal discharge of the penicillin focus in the same animal preparation. These data support the hypothesis that evoked and epileptiform magnetic fields result from intradendritic currents oriented perpendicular to the cortical surface. Furthermore, magnetic fields can be detected from epileptic foci smaller than 3 x 3 mm2. Results from animal studies are then used as an empirical foundation for physical models with which to interpret noninvasive neuromagnetic recordings of epileptic discharge in human focal seizure disorders. Examples are presented in which the spatial and temporal distribution of extracranial magnetic fields produced by interictal events in humans may be adequately represented by multiple dipolar sources.

Animals↗

Facilitating dietary change: the patient-centered counseling model.

Recent data indicate that the patient-centered counseling model enhances long-term dietary adherence. This model facilitates change by assessing patient needs and subsequently tailoring the intervention to the patient's stage in the process of change, personal goals, and unique challenges. This article describes this model, including its theoretical foundations, a 4-step counseling process, and applications. This behavioral counseling model can help nutrition professionals enhance patient adherence to nutrition care plans and dietary guidelines.

Behavior Therapy↗

Distance-based reconstruction of tree models for oncogenesis.

Comparative genomic hybridization (CGH) is a laboratory method to measure gains and losses in the copy number of chromosomal regions in tumor cells. It is hypothesized that certain DNA gains and losses are related to cancer progression and that the patterns of these changes are relevant to the clinical consequences of the cancer. It is therefore of interest to develop models which predict the occurrence of these events, as well as techniques for learning such models from CGH data. We continue our study of the mathematical foundations for inferring a model of tumor progression from a CGH data set that we started in Desper et al. (1999). In that paper, we proposed a class of probabilistic tree models and showed that an algorithm based on maximum-weight branching in a graph correctly infers the topology of the tree, under plausible assumptions. In this paper, we extend that work in the direction of the so-called distance-based trees, in which events are leaves of the tree, in the style of models common in phylogenetics. Then we show how to reconstruct the distance-based trees using tree-fitting algorithms developed by researchers in phylogenetics. The main advantages of the distance-based models are that 1) they represent information about co-occurrences of all pairs of events, instead of just some pairs, 2) they allow quantitative predictions about which events occur early in tumor progression, and 3) they bring into play the extensive methodology and software developed in the context of phylogenetics. We illustrate the distance-based tree method and how it complements the branching tree method, with a CGH data set for renal cancer.

Algorithms↗

Statistical issues in toxicokinetic modeling: a bayesian perspective.

Determining the relationship between an exposure and the resulting target tissue dose is a critical issue encountered in quantitative risk assessment (QRA). Classical or physiologically based toxicokinetic (PBTK) models can be useful in performing that task. Interest in using these models to improve extrapolations between species, routes, and exposure levels in QRA has therefore grown considerably in recent years. In parallel, PBTK models have become increasingly sophisticated. However, development of a strong statistical foundation to support PBTK model calibration and use has received little attention. There is a critical need for methods that address the uncertainties inherent in toxicokinetic data and the variability in the human populations for which risk predictions are made and to take advantage of a priori information on parameters during the calibration process. Natural solutions to these problems can be found in a Bayesian statistical framework with the help of computational techniques such as Markov chain Monte Carlo methods. Within such a framework, we have developed an approach to toxicokinetic modeling that can be applied to heterogeneous human or animal populations. This approach also expands the possibilities for uncertainty analysis. We present a review of these efforts and other developments in these areas. Appropriate statistical treatment of uncertainty and variability within the modeling process will increase confidence in model results and ultimately contribute to an improved scientific basis for the estimation of occupational and environmental health risks.

Bayes Theorem↗

Modelling emergency decisions: recognition-primed decision making. The literature in relation to an ophthalmic critical incident.

AIMS: To review and reflect on the literature on recognition-primed decision (RPD) making and influences on emergency decisions with particular reference to an ophthalmic critical incident involving the sub-arachnoid spread of local anaesthesia following the peribulbar injection. BACKGROUND: This paper critics the literature on recognition-primed decision making, with particular reference to emergency situations. It illustrates the findings by focussing on an ophthalmic critical incident. DESIGN: Systematic literature review with critical incident reflection. METHODS: Medline, CINAHL and PsychINFO databases were searched for papers on recognition-primed decision making (1996-2004) followed by the 'snowball method'. Studies were selected in accordance with preset criteria. RESULTS: A total of 12 papers were included identifying the recognition-primed decision making as a good theoretical description of acute emergency decisions. In addition, cognitive resources, situational awareness, stress, team support and task complexity were identified as influences on the decision process. CONCLUSIONS: Recognition-primed decision-making theory describes the decision processes of experts in time-bound emergency situations and is the foundation for a model of emergency decision making (Fig. 2). RELEVANCE TO CLINICAL PRACTICE: Decision theory and models, in this case related to emergency situations, inform practice and enhance clinical effectiveness. The critical incident described highlights the need for nurses to have a comprehensive and in-depth understanding of anaesthetic techniques as well as an ability to manage and resuscitate patients autonomously. In addition, it illustrates how the critical incidents should influence the audit cycle with improvements in patient safety.

Aged↗

GDNF gene delivery to injured adult CNS motor neurons promotes axonal growth, expression of the trophic neuropeptide CGRP, and cellular protection.

Glial-cell-line--derived neurotrophic factor (GDNF) has been identified as a potent survival and differentiation factor for several neuronal populations in the central nervous system (CNS), but to date, distinct effects of GDNF on motor axon growth and regeneration in the adult have not been demonstrated. In the present study, ex vivo gene delivery was used to directly examine whether GDNF can influence axonal growth, expression of neuronal regeneration-related genes, and sustain the motor neuronal phenotype after adult CNS injury. Adult Fischer 344 rats underwent unilateral transections of the hypoglossal nerve, followed by intramedullary grafts of fibroblasts genetically modified to secrete GDNF. Control animals received lesions and grafts of cells expressing a reporter gene. Two weeks later, GDNF gene delivery (1) robustly promoted the growth of lesioned hypoglossal motor axons, (2) altered the expression and intracellular trafficking of the growth-related protein calcitonin gene-related peptide (CGRP), and (3) significantly sustained the cholinergic phenotype in 84 +/- 6% of hypoglossal neurons compared with 39 +/- 6% in control animals (P < 0.001). This is the first neurotrophic factor identified to increase the in vivo expression of the trophic peptide CGRP and the first report that GDNF promotes motor axonal growth in vivo in the adult CNS. Taken together with previous in vitro studies, these findings serve as the foundation for a model wherein GDNF and CGRP interact in a paracrine manner to regulate neuromuscular development and regeneration.

Animals↗

Suppressin: an endogenous negative regulator of immune cell activation.

We have recently identified a new suppressor molecule we named suppressin (SPN) that has all the characteristics of a global negative regulator of the immune system. SPN is a unique 63-kD monomeric polypeptide with a pI of 8.1 that is produced and secreted under basal conditions by murine splenocytes, human peripheral mononuclear cells, and hormone-secreting pituitary cells. The biological actions of SPN in vitro include the inhibition of mitogen-induced proliferation and immunoglobulin synthesis of lymphocytes and the suppression of interleukin-2-dependent CTLL-2 cell proliferation. In addition, SPN enhances natural killer cell activity by eliciting interferon-alpha and -beta synthesis and secretion. SPN effects are reversible, nontoxic, and require the continuous presence of exogenous SPN. T lymphocytes stimulated with concanavalin A or phytohemagglutinin are more sensitive to SPN (90% inhibition) than are lipopolysaccharide-stimulated B cells (60% inhibition). SPN arrests lymphocytes in the G0/G1 phase of the cell cycle after reduction of their RNA, protein and DNA synthesis, suggesting that SPN inhibits the processes required for G0 transition to G1. SPN is found intracellularly in all unstimulated lymphocyte subsets, monocytes, and in phytohemagglutinin-activated T lymphocytes immunopositive for the low affinity interleukin-2 receptor. These results suggest that SPN may be a major negative regulator of cell proliferation in the immune system. All SPN-producing cell types are also sensitive to SPN. Collectively, the results of these experiments provide the foundations for a model in which SPN regulates lymphocyte proliferation in an autocrine and/or paracrine manner.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗

[Promoting patient-oriented quality management in rheumatologic management from the viewpoint of patients].

Limited resources in our health system require fast action to maintain sufficient health care. Improvements in the quality of standards and the processes involved are overcome more easily by the industry compared to human medicine. Can the heterogenous group of rheumatic patients be compared? Can the demands of the individual groups be satisfied concerning their health care? Coordination centers for rheumatic diseases can improve the quality of health care in conjunction with the infrastructure created by the patient support groups. These projects should not fail due to the financial crisis in our social system. It is about time to think about alternative financial models, such as foundations.

Arthritis, Rheumatoid↗

The electrophysiological basis of epileptiform magnetic fields in neocortex: spontaneous ictal phenomena.

In a previous report (Barth, D.S. and Di, S., Brain Research, 530 (1990) 35-39), electrical measurements of epileptiform cellular currents produced by physiologically evoked interictal penicillin spikes in rat somatosensory cortex were directly compared to the extracranial magnetic fields these currents generate. The present study uses the same methodology to extend these observations to spontaneous interictal and ictal phenomena in rat auditory cortex, and provides a more realistic empirical foundation for physical models with which to interpret non-invasive neuromagnetic recordings of human focal seizures. These data indicate that seizure foci under 1 x 1 cm2 in cortical surface area are capable of producing magnetic fields that may be recorded at extracranial distances similar to those used in humans. Furthermore, physical models based on the dipole approximation appear to be appropriate for the interpretation of ictal magnetic field phenomena in neocortex.

Animals↗

Research strategies at the interface of medicine and psychiatry.

The rapid growth of the neurosciences in the past decade has served to blur the differences and enhance the similarities between research in medicine and in psychiatry. As the number of relevant biological variables and the questions asked in relation to them has expanded, so has the number of medical disorders of interest to the clinical researcher in psychiatry. In addition to these new areas of common interest, consultation-liaison psychiatry and clinical psychiatric research share a common conceptual foundation based upon model development and testing. It is proposed, therefore, that research at the interface between medicine and psychiatry represents a new frontier for both consultation-liaison psychiatry and clinical psychiatric research. Goals and strategies for research at the interface are discussed with specific reference to current research efforts at the National Institutes of Health.

Brain↗

One-shot estimate of MRMC variance: AUC.

RATIONALE AND OBJECTIVES: One popular study design for estimating the area under the receiver operating characteristic curve (AUC) is the one in which a set of readers reads a set of cases: a fully crossed design in which every reader reads every case. The variability of the subsequent reader-averaged AUC has two sources: the multiple readers and the multiple cases (MRMC). In this article, we present a nonparametric estimate for the variance of the reader-averaged AUC that is unbiased and does not use resampling tools. MATERIALS AND METHODS: The one-shot estimate is based on the MRMC variance derived by the mechanistic approach of Barrett et al. (2005), as well as the nonparametric variance of a single-reader AUC derived in the literature on U statistics. We investigate the bias and variance properties of the one-shot estimate through a set of Monte Carlo simulations with simulated model observers and images. The different simulation configurations vary numbers of readers and cases, amounts of image noise and internal noise, as well as how the readers are constructed. We compare the one-shot estimate to a method that uses the jackknife resampling technique with an analysis of variance model at its foundation (Dorfman et al. 1992). The name one-shot highlights that resampling is not used. RESULTS: The one-shot and jackknife estimators behave similarly, with the one-shot being marginally more efficient when the number of cases is small. CONCLUSIONS: We have derived a one-shot estimate of the MRMC variance of AUC that is based on a probabilistic foundation with limited assumptions, is unbiased, and compares favorably to an established estimate.

Area Under Curve↗

Bio-medical entity extraction using support vector machines.

OBJECTIVE: Support vector machines (SVMs) have achieved state-of-the-art performance in several classification tasks. In this article we apply them to the identification and semantic annotation of scientific and technical terminology in the domain of molecular biology. This illustrates the extensibility of the traditional named entity task to special domains with large-scale terminologies such as those in medicine and related disciplines. METHODS AND MATERIALS: The foundation for the model is a sample of text annotated by a domain expert according to an ontology of concepts, properties and relations. The model then learns to annotate unseen terms in new texts and contexts. The results can be used for a variety of intelligent language processing applications. We illustrate SVMs capabilities using a sample of 100 journal abstracts texts taken from the {human, blood cell, transcription factor} domain of MEDLINE. RESULTS: Approximately 3400 terms are annotated and the model performs at about 74% F-score on cross-validation tests. A detailed analysis based on empirical evidence shows the contribution of various feature sets to performance. CONCLUSION: Our experiments indicate a relationship between feature window size and the amount of training data and that a combination of surface words, orthographic features and head noun features achieve the best performance among the feature sets tested.

Algorithms↗