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Anatomy of a patient safety event: a pediatric patient safety taxonomy.

BACKGROUND: Idiosyncratic terminology and frameworks in the study of patient safety have been tolerated but are increasingly problematic. Agreement on standard language and frameworks is needed for optimal improvement and dissemination of knowledge about patient safety. METHODS: Patient safety events were assessed using critical incident analysis, a method used to classify risks that has been more recently applied to medicine. Clinician interviews and clinician reports to a web based reporting system were used for analysis of hospital based and ambulatory care events, respectively. Events were classified independently by three investigators. RESULTS: A pediatric patient safety taxonomy, relevant to both hospital based and ambulatory pediatric care, was developed from the analysis of 122 hospital based and 144 ambulatory care events. It is composed of four main categories: (1) problem type; (2) domain of medicine; (3) contributing factors in the patient (child-specific), environment (latent conditions) and care providers (human factors); and (4) outcome or result of the event and level of harm. A classification of preventive mechanisms was also developed. Inter-rater reliability of classifications ranged from 72% to 86% for sub-categories of the taxonomy. CONCLUSIONS: This patient safety taxonomy reflects the nature of events that occur in both pediatric hospital based and ambulatory care settings. It is flexible in its construction, permits analysis to begin at any point, and depicts the relationships and interactions of elements of an event.

Ambulatory Care↗

TAXONOMY AND IDENTIFICATION OF SEPTORIA AND STAGONOSPORA SPECIES ON SMALL-GRAIN CEREALS.

Numerous significant changes have been made in the taxonomy of both the anamorphs and teleomorphs of the Septoria group of leaf spot pathogens on small grain cereals during the past 30 years. The pathogens fall into two related but distinct groups, with anamorphic genera now placed in Septoria and Stagonospora of the Sphaeropsidales. Each of these genera has distinct teleomorphs in the Loculoascomycetes in Mycosphaerella and Phaeosphaeria. These reclassifications were based largely on fungal morphology and host pathogenicity as originally characterized. Recent studies have investigated the phylogenetic relationships among these species using the techniques of molecular genetics, and have related molecular characteristics to taxonomy based on classical morphology. A clearer understanding of the taxonomy of this group will enhance our ability to diagnose and manage these important cereal pathogens.

Journal Article↗

An interactive taxonomy of MR imaging sequences.

Discerning an underlying structure in the array of magnetic resonance (MR) imaging sequences and acronyms available is a bewildering task. Attempts have been made to present standard taxonomies of MR imaging sequences, primarily on the basis of their underlying physics. Despite this, it is difficult to usefully incorporate given taxonomies into routine clinical knowledge. The links, differences, and similarities among sequences are multidimensional and too complex for tabular presentation on the printed page. The authors present an interactive taxonomy of MR imaging sequences. With this graphical interface, the user can explore the changing relationships among a wide range of sequence types as they are viewed from different perspectives and through different associations, working through a natural learning process.

Computer Graphics↗

Species classification problems in virus taxonomy.

Although the species is the fundamental unit of taxonomy, virologists only recently have begun to classify virus species in a systematic way under the leadership of the International Committee on Taxonomy of Viruses. Progress has been slow and uneven for several reasons: (i) Attempts to sort species are hampered even when the distinction between classification and nomenclature is blurred. Classifying is based on observation and involves deductive reasoning, whereas naming can be as arbitrary as desired, even to the point of dispensing with the traditional Latin binomial form. (ii) Some virologists deny the possibility of applying the species concept to asexual organisms, such as viruses. Those persons are influenced by an obsolete definition of biological species which rests on observed or inferred barriers to sexual reproduction. (iii) New taxonomic tools, such as mathematical (numerical) taxonomy, might be applied profitably to virus classification, but are unfamiliar to many virologists.

Adenoviridae↗

A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case.

Spatiotemporal connectionist networks (STCNs) comprise an important class of neural models that can deal with patterns distributed in both time and space. In this article, we widen the application domain of the taxonomy for supervised STCNs recently proposed by Kremer (2001) to the unsupervised case. This is possible through a reinterpretation of the state vector as a vector of latent (hidden) variables, as proposed by Meinicke (2000). The goal of this generalized taxonomy is then to provide a nonlinear generative framework for describing unsupervised spatiotemporal networks, making it easier to compare and contrast their representational and operational characteristics. Computational properties, representational issues, and learning are also discussed, and a number of references to the relevant source publications are provided. It is argued that the proposed approach is simple and more powerful than the previous attempts from a descriptive and predictive viewpoint. We also discuss the relation of this taxonomy with automata theory and state-space modeling and suggest directions for further work.

Classification↗

Quality control for terms and definitions in ontologies and taxonomies.

BACKGROUND: Ontologies and taxonomies are among the most important computational resources for molecular biology and bioinformatics. A series of recent papers has shown that the Gene Ontology (GO), the most prominent taxonomic resource in these fields, is marked by flaws of certain characteristic types, which flow from a failure to address basic ontological principles. As yet, no methods have been proposed which would allow ontology curators to pinpoint flawed terms or definitions in ontologies in a systematic way. RESULTS: We present computational methods that automatically identify terms and definitions which are defined in a circular or unintelligible way. We further demonstrate the potential of these methods by applying them to isolate a subset of 6001 problematic GO terms. By automatically aligning GO with other ontologies and taxonomies we were able to propose alternative synonyms and definitions for some of these problematic terms. This allows us to demonstrate that these other resources do not contain definitions superior to those supplied by GO. CONCLUSION: Our methods provide reliable indications of the quality of terms and definitions in ontologies and taxonomies. Further, they are well suited to assist ontology curators in drawing their attention to those terms that are ill-defined. We have further shown the limitations of ontology mapping and alignment in assisting ontology curators in rectifying problems, thus pointing to the need for manual curation.

Artificial Intelligence↗

Development of a taxonomy to describe massage treatments for musculoskeletal pain.

BACKGROUND: One of the challenges in conducting research in the field of massage and bodywork is the lack of consistent terminology for describing the treatments given by massage therapists. The objective of this study was to develop a taxonomy to describe what massage therapists actually do when giving a massage to patients with musculoskeletal pain. METHODS: After conducting a review of the massage treatment literature for musculoskeletal pain, a list of candidate techniques was generated for possible inclusion in the taxonomy. This list was modified after discussions with a senior massage therapist educator and seven experienced massage therapists participating in a study of massage for neck pain. RESULTS: The taxonomy was conceptualized as a three level classification system, principal goals of treatment, styles, and techniques. Four categories described the principal goal of treatment (i.e., relaxation massage, clinical massage, movement re-education and energy work). Each principal goal of treatment could be met using a number of different styles, with each style consisting of a number of specific techniques. A total of 36 distinct techniques were identified and described, many of which could be included in multiple styles. CONCLUSION: A new classification system is presented whereby practitioners using different styles of massage can describe the techniques they employ using consistent terminology. This system could help facilitate standardized reporting of massage interventions.

Body Image↗

International Committee on Taxonomy of Viruses and the 3,142 unassigned species.

In 2005, ICTV (International Committee on Taxonomy of Viruses), the official body of the Virology Division of the International Union of Microbiological Societies responsible for naming and classifying viruses, will publish its latest report, the state of the art in virus nomenclature and taxonomy. The book lists more than 6,000 viruses classified in 1,950 species and in more than 391 different higher taxa. However, GenBank contains a staggering additional 3,142 "species" unaccounted for by the ICTV report. This paper reviews the reasons for such a situation and suggests what might be done in the near future to remedy this problem, particularly in light of the potential for a ten-fold increase in virus sequencing in the coming years that would generate many unclassified viruses. A number of changes could be made both at ICTV and GenBank to better handle virus taxonomy and classification in the future.

Advisory Committees↗

A taxonomy and economic consequences of nursing home falls.

BACKGROUND: Falls are a primary cause of injury and disability in the nursing home environment and can be costly to treat. We propose a taxonomy of nursing home falls that accounts for both the severity of fall consequences and the duration of the treatment episode. No other systematic approach of this kind has been previously described. METHODS: We defined a 9-level taxonomy of fall types and outcomes. Components of each fall category include resource use during the acute, convalescent, and long-term phases of treatment. Three variants of each category describe typical, best-case and worst-case fall episodes. Treatment costs were estimated for each fall category by applying unit costs from national databases and published sources to projected medical resource utilisation. Long-term costs reflect adjustment in Medicare per diem reimbursement rates associated with change in patient status subsequent to the fall. RESULTS: The most common and least costly fall category was category 1 -- non-injurious, which accounted for 30% of falls and a 1-year cost of US dollars 319 per event (range US dollars 71-550). The least common and most costly was fall category 9 -- multiple injuries, which accounted for 1% of falls and a 1-year cost of US dollars 22,368 (range US dollars 9,969-64,382). CONCLUSIONS: The falls taxonomy represents a unique approach to estimating the cost of nursing home falls and offers a tool for evaluating the cost-effectiveness of fall prevention strategies. A validation study should be performed to confirm the magnitude of fall frequency and cost estimates.

Accidental Falls↗

Selecting and applying taxonomies for learning outcomes: a nursing example.

In this manuscript procedures for selecting and applying taxonomies using nursing-related examples are described. Bloom's taxonomy and Gagne's instructional theory are compared. The author concludes that both taxonomies have much in common and are appropriate for use in nursing education.

Education, Nursing↗

[Molecular taxonomy and identification of pathogenic fungi based on DNA sequence analysis].

Although approximately 80,000 fungi are known, less than 1% are associated with human infection. However, their taxonomy has long been insufficient. During the last decade, DNA sequence analysis was introduced to the taxonomy of pathogenic fungi. Taxonomic advances in the field of medical mycology are helping to identify the causative agents of infectious diseases accurately, facilitating diagnosis and treatment. For example, Malassezia furfur was long considered the major microflora in atopic dermatitis, yet recent studies have indicated that this is not the case, as M. furfur is taxonomically heterogeneous and consists of five species. DNA sequence analysis resolved its taxonomic heterogeneity. Similar examples can be seen in "Candida albicans and C. dubliniensis" and "Trichosporon cutaneum and T. asahii". DNA sequence analysis also enables accurate identification of fungi. At present, almost all pathogenic fungi can be identified by determining the D1/D2 26S rDNA and ITS region of rRNA gene. This paper describes the practical taxonomy and identification of pathogenic fungi based on DNA sequence analysis.

Fungi↗

Converging operations on a basic level in event taxonomies.

Research on object concepts has identified one level of abstraction as "basic" in cognition and communication. We investigated whether concepts for routine social events have a basic level by replicating the converging operations used to investigate object concepts. In Experiment 1, subjects were presented with event names from a taxonomy and were asked to list the actions comprising the event. Many more actions were listed at the middle than at the highest taxonomic level, without a further increase at the most specific level, paralleling the pattern of superordinate-, basic-, and subordinate-level object concepts. From these action lists, brief stories were composed for each event. In Experiment 2, subjects made pairwise similarity judgments on the stories. The mean similarity of events increased with specificity, as expected. But differentiation of categories (within-category similarity compared to between-category similarity) was highest for super-ordinates, contrary to results with object categories. In Experiment 3, subjects were fastest in recognizing actions as belonging to events named at the basic level. In Experiment 4, subjects predominantly chose basic-level terms to name stories. We conclude that event taxonomies do show basic-level structure, albeit a less sharply defined and less stable structure than in object taxonomies. The benefits and hazards of extending models of object concepts to other entities, such as social events, are discussed.

Adult↗

A taxonomy of health networks and systems: bringing order out of chaos.

OBJECTIVE: To use existing theory and data for empirical development of a taxonomy that identifies clusters of organizations sharing common strategic/structural features. DATA SOURCES: Data from the 1994 and 1995 American Hospital Association Annual Surveys, which provide extensive data on hospital involvement in hospital-led health networks and systems. STUDY DESIGN: Theories of organization behavior and industrial organization economics were used to identify three strategic/structural dimensions: differentiation, which refers to the number of different products/services along a healthcare continuum; integration, which refers to mechanisms used to achieve unity of effort across organizational components; and centralization, which relates to the extent to which activities take place at centralized versus dispersed locations. These dimensions were applied to three components of the health service/product continuum: hospital services, physician arrangements, and provider-based insurance activities. DATA EXTRACTION METHODS: We identified 295 health systems and 274 health networks across the United States in 1994, and 297 health systems and 306 health networks in 1995 using AHA data. Empirical measures aggregated individual hospital data to the health network and system level. PRINCIPAL FINDINGS: We identified a reliable, internally valid, and stable four-cluster solution for health networks and a five-cluster solution for health systems. We found that differentiation and centralization were particularly important in distinguishing unique clusters of organizations. High differentiation typically occurred with low centralization, which suggests that a broader scope of activity is more difficult to centrally coordinate. Integration was also important, but we found that health networks and systems typically engaged in both ownership-based and contractual-based integration or they were not integrated at all. CONCLUSIONS: Overall, we were able to classify approximately 70 percent of hospital-led health networks and 90 percent of hospital-led health systems into well-defined organizational clusters. Given the widespread perception that organizational change in healthcare has been chaotic, our research suggests that important and meaningful similarities exist across many evolving organizations. The resulting taxonomy provides a new lexicon for researchers, policymakers, and healthcare executives for characterizing key strategic and structural features of evolving organizations. The taxonomy also provides a framework for future inquiry about the relationships between organizational strategy, structure, and performance, and for assessing policy issues, such as Medicare Provider Sponsored Organizations, antitrust, and insurance regulation.

American Hospital Association↗

A taxonomy for behavioral objectives in a dental school.

This paper describes a taxonomy proposed for use by dental school faculties as an aid in specifying their course objectives in behavioral terms. This taxonomy, developed and tried at the Harvard School of Dental Medicine, is simpler than taxonomies previously proposed because it reduces the number of categories. In addition, the categories themselves are designed to communicate to and be interpreted by dental educators. The six categories are (1) knowledge of facts, concepts, and principles; (2) comprehension; (3) perceptual ability; (4) diagnosis and treatment planning skills; (5) motor skills; and (6) interactive skills. Each category is briefly defined and illustrated with two samples from operative dentistry.

Behavior↗

Evaluating a medical error taxonomy.

Healthcare has been slow in using human factors principles to reduce medical errors. The Center for Devices and Radiological Health (CDRH) recognizes that a lack of attention to human factors during product development may lead to errors that have the potential for patient injury, or even death. In response to the need for reducing medication errors, the National Coordinating Council for Medication Errors Reporting and Prevention (NCC MERP) released the NCC MERP taxonomy that provides a standard language for reporting medication errors. This project maps the NCC MERP taxonomy of medication error to MedWatch medical errors involving infusion pumps. Of particular interest are human factors associated with medical device errors. The NCC MERP taxonomy of medication errors is limited in mapping information from MEDWATCH because of the focus on the medical device and the format of reporting.

Classification↗

Simplifying the language of evidence to improve patient care: Strength of recommendation taxonomy (SORT): a patient-centered approach to grading evidence in medical literature.

Several taxonomies exist for rating individual studies and the strength of recommendations, making the analysis of evidence confusing for practitioners. A new grading scale-the Strength of Recommendation Taxonomy (SORT)-will be used by several family medicine and primary care journals (required or optional), allowing readers to learn 1 consistently applied taxonomy of evidence. SORT is built around the information mastery framework, which emphasizes the use of patient-oriented outcomes that measure changes in morbidity or mortality. Levels of evidence from 1 to 3 for individual studies also are defined. An A-level recommendation is based on consistent and good-quality patient-oriented evidence; a B-level recommendation is based on inconsistent or limited-quality patient-oriented evidence; and a C-level recommendation is based on consensus, usual practice, opinion, disease-oriented evidence, or case series for studies of diagnosis, treatment, prevention, or screening.

Algorithms↗

Are the recommended taxonomies for the stages of youth smoking onset consistent with youth's perceptions of their smoking status?

BACKGROUND: To examine if the recommended taxonomies for the stages of youth smoking onset are aligned with the beliefs of smoking youth. METHODS: The SHAPES Tobacco Module was administered to 23,047 students (grades 9 to 13) in a convenience sample of 29 secondary schools during the 2000-2001 school year in the province of Ontario, Canada. Cross-tabs were used to compare a student's self-perceived smoking status to their smoking status as determined with the currently recommended stage taxonomies for smoking behaviour. RESULTS: The majority of students classified as regular smokers (52.4%) and experimental smokers (98.9%) did not actually consider themselves to be smokers. Self-reported smoking status appeared to be relatively consistent for the never smoker and established smoker categories. CONCLUSIONS: Additional research is required to develop stage taxonomies that are aligned with the self-perceptions of non-established youth smokers.

Adolescent↗

[Classical and non-classical taxonomy: another view].

Biological taxonomy has never been a really classical science, if to consider the latter as seeking for universal laws and eternal truth (Pavlinov, 2006, and references therein). Biological taxonomy takes its origin from the folk one which is non-classical in that it is seeking for natural boundaries (hiati) within the observed biodiversity, rather than to impose ideal (universal and eternal) borderlines upon the biodiversity. Discussion between the classical and non-classical approaches started since Plato has explicated both the classical method of logic dichotomy and non-classical method of the folk taxonomy as a metaphor of cutting the nature at its joins. This discussion has been continuing till now, with the most classical approach being the cladistic one, and the least classical the phenetic one. The phyletic approach as defined by Ponomarenko & Rasnitsyn (1971; phylistic after Rasnitsyn, 1996) is also non-classical, although not as strict as the phenetic one.

Animals↗