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At least 199 records · Page 11Linked to original sources
PubMed2005

Teaching evidence-based public health to public health practitioners.

PURPOSE: The purpose of the Evidence Based Public Health (EBPH) course is to train public health practitioners to utilize a comprehensive approach for program development and evaluation from a scientific perspective, including principles of scientific reasoning and systematic uses of data and information systems. The increasing technical sophistication of public health problems and approaches emphasizes the importance for an evidence-based approach to developing policy and interventions. METHODS: The training methods used highlight the linkages between data systems and program/policy initiatives. Participants learn to access and interpret existing data systems and methods of using data to impact specific policies or decision-makers. From 1992 through mid-2004 the EBPH course was offered a total of 20 times, in Missouri, nationally and internationally. In March 2002, the workshop was taped and pressed into a 16-CD set that public health workers can use as a self-teaching program in their own homes and offices. The group exercises from the classroom workshop have been adapted into individual self-guided applications, and background readings are included in the set. RESULTS: Compiled results of course evaluations indicate average ratings for course satisfaction ranging from 8.50 to 10.00 on a scale from 1 to 10. Satisfaction with course instructors ranged between 8.00 and 10.00 on the same scale. Ninety-four to ninety-six per cent of participants reported that they would use the course in their day-to-day work. Qualitative comments from participants at the time of and after the course show that the material is applied in a variety of ways. CONCLUSIONS: The EBPH course is making a valuable contribution in strengthening the application of scientific methods to public health practice. To expand the offerings of this training, a train-the-trainer component for the EBPH course is being developed, to be made available in 2005.

Curriculum↗
PubMed2005

A pilot ontological model of public health indicators.

UNLABELLED: There are various public health databases in the world aiming to provide data to compare health conditions in different countries. Their data sets are more or less overlapping but data from different databases and different countries are hard to compare due to different definitions and interpretations. Our aim was to create a core ontological model that is able to represent public health indicators. We assumed, that by such representation comparability and quality of data could be improved. METHOD: Three sets of indicators were taken, and a core ontology was built from information objects describing their top level entities. The Protégé ontology editor with RDF backend was used for building the ontology. The used indicator sets were the indicators of the Health for All Database of the World Health Organisation (HFA), the OECD Health Data, and the set of indicators proposed by the European Community Health Indicators (ECHI) European project. Then 19 indicators selected from HFA was represented using the core ontology. Strength and weaknesses of the descriptive capability of the model was studied. RESULT: The drafted core model seems to be useful in representing many of the public health indicators. In some cases it really helps improve comparability. However, some of the semantic details cannot be sufficiently expressed by the used ontology representation language. There is a need of merging other domain ontologies to represent indicators related to other domains, such as economy, social and environmental sciences.

Databases, Factual↗
PubMed2006

Mapping health on the internet: a new tool for environmental justice and public health research.

This paper examines the prospects for integrating Internet platform GIS or 'web-GIS' into environmental justice and related public health research. Specifically, we document the development of a web-GIS created for investigating relationships between health, air quality and socioeconomic factors in Hamilton, Canada. After development of the web-GIS site, we assembled a focus group of public health professionals to test functionality and render opinions about the potential of the site and geographic information in their program implementation. Results show overwhelming support for the further integration of GIS into public health practice. The results also underscore the potential of web-GIS to alleviate concerns of cost and data availability that often limit the use of GIS in community debates centred on environmental justice issues.

Air Pollution↗
PubMed2006

Income and health inequality across Canadian provinces.

This paper uses the aggregate data from the Public Use Microdata Files (PUMF) of Canadian National Population Health Survey to estimate income related health inequalities across the ten Canadian provinces. The unique features of the PUMF allow for a meaningful cross-provincial comparison of health indices and their measured inequalities. It concludes that health inequalities favouring the higher income people do exist in all provinces when health status is either self assessed or measured by the health utility index. Moreover, it finds considerable variations in measured health inequalities across the provinces with consistent rankings for certain provinces.

Canada↗
PubMed2006

Advancing insights into methods for studying environment-health relationships: a multidisciplinary approach to understanding Legionnaires' disease.

Recent years have witnessed important advances in the analysis of spatially referenced health data. This paper uses GIS and point pattern modelling to address previously unanswered questions regarding the spatial epidemiology of Legionnaires' disease. We demonstrate a distance effect for proximity of residence to cooling towers; mixed support for a directional effect; and some evidence relating to multiple sources. In uncovering complex conceptual and technical problems in the spatial modelling of infection risk we also extended the limits of existing point pattern techniques. We advocate further multidisciplinary research to advance methodological developments for understanding spatial environment-health relationships.

Air Conditioning↗
PubMed2004

Use of a state-wide administrative database in assessing a regional trauma system: the New York City experience.

BACKGROUND: A successful regional trauma care system should concentrate severely injured patients within trauma centers, and should improve severity-adjusted outcomes. We compared injured patients' outcomes in New York City's level 1 trauma centers and nontrauma centers. STUDY DESIGN: We analyzed 1998-2000 New York Statewide Planning and Cooperative Research System (SPARCS) data for 103,725 adult discharges from 70 New York City hospitals (15 level I trauma centers), using ICD-9CM codes 800-950. Their 227 DRG's were aggregated into 7 clinical injury classes. A severity index was extracted from each refined DRG, and deaths, age, and gender were analyzed. Regression analysis predicted death from age, gender, severity index, and trauma center discharge, with separate analyses of the three largest clinical classes, and estimated excess mortality because of trauma center discharge. RESULTS: Level 1 trauma centers discharged 48.2% of injured patients, with higher mean annual discharges per hospital (1,046 discharges per TC vs. 437 per NTC, p < 0.001). Trauma centers discharged more than half the central nervous system, general/gastrointestinal, cardiothoracic, and vascular injuries. Trauma center patients were 12.5 years younger than NTC patients (p < 0.0005), and were disproportionately men (64.7% TC vs. 47.2% NTC, p < 0.0005). For the entire patient cohort, and for central nervous system, orthopaedic and general/gastrointestinal injuries, severity, age, and gender adjusted mortality risk was significantly greater at trauma centers than nontrauma centers. CONCLUSIONS: New York City's trauma system concentrates injured patients in trauma centers on the basis of injury class rather than severity, but does not produce improved adjusted mortality outcomes for injured patients.

Adult↗
PubMed2005

Local and national electronic databases in Norway demonstrate a varying degree of validity.

OBJECTIVE: The aim of the present study was to examine the validity of local and national electronic databases using medical records as gold Standard. STUDY DESIGN AND SETTING: All hospital admissions with ICD 9-code 820.X (hip fracture) in a 1-year period were identified in the electronic discharge registers of the hospitals in Oslo and in the national electronic database (The Norwegian Patient Register). Medical records for all patients identified by the discharge registers and the logbooks of the operating theater of the hospitals were retrieved, and the diagnosis was verified. RESULTS: Compared with the total number of fractures confirmed in medical records, the electronic discharge register of one of the hospitals underestimated the number of fractures by 46%, whereas the two other overestimated the number by 17% and 19%. For the national electronic database, an overall overestimation of 19% was found. CONCLUSION: The present findings question the validity of electronic databases and thus have implications for epidemiologic studies.

Aged↗
PubMed2006

Human error and time of occurrence in hazardous material events in mining and manufacturing.

Human error has played a role in several large-scale hazardous materials events. To assess how human error and time of occurrence may have contributed to acute chemical releases, data from the Hazardous Substances Emergency Events Surveillance (HSEES) system for 1996-2003 were analyzed. Analyses were restricted to events in mining or manufacturing where human error was a contributing factor. The temporal distribution of releases was also evaluated to determine if the night shift impacted releases due to human error. Human error-related events in mining and manufacturing resulted in almost four times as many events with victims and almost three times as many events with evacuations compared with events in these industries where human error was not a contributing factor (10.3% versus 2.7% and 11.8% versus 4.5%, respectively). Time of occurrence of events attributable to human error in mining and manufacturing showed a widespread distribution for number of events, events with victims and evacuations, and hospitalizations and deaths, without apparent increased occurrence during the night shift. Utilizing human factor engineering in both front-end ergonomic design and retrospective incident investigation provides one potential systematic approach that may help minimize human error in workplace-related acute chemical releases and their resulting injuries.

Accidents, Occupational↗
PubMed2005

Development of a nosocomial outbreak investigation database.

A pilot web-based database was created to facilitate epidemiological investigation of nosocomial outbreaks. The database provides highly structured abstracts in a case study format to serve as a guide for investigations. Problems encountered in abstracting over 330 published reports included missing information and classification of study methods. The database offers a new way to review outbreaks, for example, in terms of their impact measured by various combinations of database fields, such as the number of cases, attack rate, pathogens, service/ward and mode of transmission. Feedback from users of the database suggests its usefulness. Creation of a large web-based database seems to be both desirable and feasible.

Abstracting and Indexing↗
PubMed2006

A susceptible-infected model of early detection of respiratory infection outbreaks on a background of influenza.

The threat of biological warfare and the emergence of new infectious agents spreading at a global scale have highlighted the need for major enhancements to the public health infrastructure. Early detection of epidemics of infectious diseases requires both real-time data and real-time interpretation of data. Despite moderate advancements in data acquisition, the state of the practice for real-time analysis of data remains inadequate. We present a nonlinear mathematical framework for modeling the transient dynamics of influenza, applied to historical data sets of patients with influenza-like illness. We estimate the vital time-varying epidemiological parameters of infections from historical data, representing normal epidemiological trends. We then introduce simulated outbreaks of different shapes and magnitudes into the historical data, and estimate the parameters representing the infection rates of anomalous deviations from normal trends. Finally, a dynamic threshold-based detection algorithm is devised to assess the timeliness and sensitivity of detecting the irregularities in the data, under a fixed low false-positive rate. We find that the detection algorithm can identify such designated abnormalities in the data with high sensitivity with specificity held at 97%, but more importantly, early during an outbreak. The proposed methodology can be applied to a broad range of influenza-like infectious diseases, whether naturally occurring or a result of bioterrorism, and thus can be an integral component of a real-time surveillance system.

Algorithms↗
PubMed2006

Reasons patients present to the emergency department might change during epidemics and be a valuable component of a disease surveillance system.

We hypothesize that the frequency of reasons patients present to the emergency department will change during epidemics and might be a valuable component of a disease surveillance system. We found support for this hypothesis over a two-year period with high frequency days of fever clustering during two periods of increased hospital influenza activity, but not during any other period during the two-years. This methodology appears to be superior to the previous use of triage nurses defining patients with symptom complexes. Such a system could result in online monitoring, be independent of the medical personnel (use of admission secretary), and might be able to identify various epidemics including increased hospital disease activity due to bio-terror attacks, influenza, and food poisoning. This would have important implications for limiting the spread of disease and for the acute planning of distribution of medical resources. Studies are warranted in various settings to determine whether or not changes in the daily frequencies of reasons patients present to the ED will allow identification of epidemics.

Disease Outbreaks↗
PubMedDate not supplied

How outbreaks of infectious disease are detected: a review of surveillance systems and outbreaks.

To learn how outbreaks of infectious disease are detected and to describe the entities and information systems that together function to identify outbreaks in the U.S., the authors drew on multiple sources of information to create a description of existing surveillance systems and how they interact to detect outbreaks. The results of this analysis were summarized in a system diagram. The authors reviewed a sample of recent outbreaks to determine how they were detected, with reference to the system diagram. The de facto U.S. system for detection of outbreaks consists of five components: the clinical health care system, local/state health agencies, federal agencies, academic/professional organizations, and collaborating governmental organizations. Primary data collection occurs at the level of clinical health care systems and local health agencies. The review of a convenience sample of outbreaks showed that all five components of the system participated in aggregating, analyzing, and sharing data. The authors conclude that the current U.S. approach to detection of disease outbreaks is complex and involves many organizations interacting in a loosely coupled manner. State and local health departments and the health care system are major components in the detection of outbreaks.

Communicable Disease Control↗
PubMed2005

Drinking patterns and traffic casualties in Switzerland: matching survey data and police records to design preventive action.

OBJECTIVE: To examine the association between drinking patterns and alcohol-related traffic casualties. STUDY DESIGN: Data linkage of cross-sectional survey data on alcohol consumption with official traffic casualty records. METHODS: Alcohol consumption measures for usual heavy drinking and risky single occasion drinking were derived for different time segments of the day from a 7-day drinking diary study of 747 current drinkers. Measures were correlated with official records of alcohol-related traffic casualties. RESULTS: There was a high correlation between alcohol-related traffic casualties and the number of risky single occasion drinkers that consumed alcohol outside their homes (r=0.92). On average, about 50% of these drinking occasions were attributed to usual moderate drinkers. The proportion of usual heavy drinkers was lowest in the time segments with the most alcohol-related casualties. CONCLUSION: Preventive countermeasures should be targeted at the general population, enforced particularly during specific periods of the week.

Accidents, Traffic↗
PubMed2006

Using registries in general practice to estimate countrywide morbidity in The Netherlands.

OBJECTIVE: Examining the possibility of using data from registries in general practice in order to present morbidity figures concerning a broad range of major diseases for the Dutch population. STUDY DESIGN: Qualitative and quantitative analysis of registered diagnoses. METHODS: Quantitative data from six registries were obtained. In addition, information about the registration process was obtained and discussed with representatives of the registries. Subjects for discussion were the general characteristics of the registries and disease-specific rules. RESULTS: Some important differences exist in the characteristics of the registries and the disease-specific coding rules for computing incidence and prevalence. However, for most diseases the rules of two or more registries corresponded with each other, so that a selection of registries that measured the occurrence of a particular disease in a similar way could be made. Nevertheless, for some age categories rather large differences between registries were observed. The best estimates for the whole country were calculated as the average incidence and prevalence of the selected registries. CONCLUSIONS: Data that were originally obtained during patient care can be made usable for public health policy purposes. To further improve the quality of data and to increase the usefulness of these data for public health policy purposes, more efforts are required.

Family Practice↗