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PubMed2003

Health technology assessment: history and demand.

Health technology assessment (HTA)--the provision to decision makers of information on the value of treatments and tests--has come of age in the last two decades. But it has deep roots in health care, with notable landmarks in (1) the mid eighteenth-century development of empiricism, (2) the twentieth century interest in outcomes and variation in health care, and (3) the pioneering work of Archie Cochrane and others in the 1970s. Three main forces have driven the recent developments of HTA: a combination of concerns about the adoption of unproven technologies, rising costs, and an inexorable rise in consumer expectations. The HTA response, essentially initiatives supporting the provision of reliable synthesised research information on the effects and costs of health technologies, have been well supported in the United Kingdom and internationally. We can be sure that HTA is here to stay.

Cost-Benefit Analysis↗
PubMed2001

Teaching information technology and research skills for public health.

The acquisition of information technology and research skills is fundamental for all students in Public Health because of its fundamental emphasis on population studies. In the Curtin University, Division of Health Sciences the School of Public Health has the responsibility of introducing communication and IT skills to all students, both undergraduate and postgraduate. A special program of information technology skills is offered. The age of the Internet has meant added temptation for students in terms of plagiarism and all students and staff must be aware of their ethical obligations in this area. The advent of flexible learning strategies will provide many opportunities for Schools of Public Health, both in the education of their students and in the continuing education of public health practitioners. APACPH member institutions could usefully pool their resources to develop flexible learning resources.

Australia↗
PubMedDate not supplied

Telepreventive medicine.

There have been dramatic improvements in health during the past 50 years, and public health measures have made a major contribution. Much of public health consists of information transfer. The application of telecommunications technology to public health and preventive medicine would enhance our ability to transmit information and improve global health. The idea of telemedicine has received considerable attention but has not thus far included preventive medicine. We have outlined a global electronic health network with seven main components: connectivity, telemonitoring of disease, "distance education" for public health workers, electronic connection of nongovernment organizations, a combined degree in public health and communications, an electronic scientific research server, and a home page on the World Wide Web. A commitment to the integration of telecommunications and public health holds great promise for improving the health status of the world's population.

Computer Communication Networks↗
PubMed2004

The current state of public health in China.

In the past 50 years, China has made great achievements in controlling infectious diseases and improving the public's health and hygiene. However, in the twenty-first century, owing to the negative effects brought on by aging of the population and the burdens of diseases, urbanization, industrialization, and globalization, Chinese public health officials are encountering greater difficulties than ever. Old operating models of public health cannot meet present requirements. The main problems are poor capacity to respond to public health emergencies, severe inequality of health care services, and lagging development of public health information systems. Public health in China can gradually meet the requirements of social development and the increasing public demand for health care services only when the public health is directed by informatization, globalization, technification, and humanization.

China↗
PubMed2002

Changing emphases in public health and medical education in health care reform.

Globalisation of economies, diseases and disasters with poverty, emerging infectious diseases, ageing and chronic conditions, violence and terrorism has begun to change the face of public health and medical education. Escalating costs of care and increasing poverty have brought urgency to professional training to improve efficiency, cut costs and maintain gains in life expectancy and morbidity reduction. Technology, genetics research and designer drugs have dramatically changed medical practice. Creatively, educational institutions have adopted the use of: (1) New educational and communication technologies: internet and health informatics; (2) Problem based learning approaches; Integrated Practice and Theory Curricula; Research and Problem Solving methodologies and (3) Partnership and networking of institutions to synergise new trends (e.g. core competencies). Less desirably, changes are inadequate in key areas, e.g., Health Economics, Poverty and Health Development, Disaster Management & Bioterrorism and Ethics. Institutions have begun to adjust and develop new programs of study to meet challenges of emerging diseases, design methodologies to better understand complex social and economic determinants of disease, assess the effects of violence and address cost containment strategies in health. Besides redesigning instruction, professional schools need to conduct research to assess the impact of health reform. Such studies will serve as sentinels for the public's health, and provide key indicators for improvements in training, service provision and policy.

Asia↗
PubMed2004

Implementing the Institute of Medicine's recommended curriculum content in schools of public health: a baseline assessment.

In September 2003, the Association of Schools of Public Health administered an online survey to representatives of all 33 accredited US schools of public health. The survey assessed the extent to which the schools were offering curriculum content in the 8 areas recommended by the Institute of Medicine: communication, community-based participatory research, cultural competence, ethics, genomics, global health, informatics, and law/policy. Findings indicated that, for the most part, schools of public health are offering content in these areas through many approaches and have incorporated various aspects of a broad-based ecological approach to public health education and training. The findings also suggested the possible need for greater content in genomics, informatics, community-based participatory research, and cultural competence.

Curriculum↗
PubMed2005

Public health monitoring tools for multiple data streams.

INTRODUCTION: In concert with increased concerns regarding both biologic terrorism and new natural infectious disease threats (e.g., severe acute respiratory syndrome [SARS] and West Nile virus), as a result of advances in medical informatics, various data sources are available to epidemiologists for routine, prospective monitoring of public health. The synthesis of this evidence requires tools to find anomalies within various data stream combinations while maintaining manageable false alarm rates. OBJECTIVES: The objectives of this report are to establish statistical hypotheses to define the compound multivariate problem of surveillance systems, present statistical methods for testing these hypotheses, and examine results of applying these methods to simulated and actual data. METHODS: Canonical problems of parallel monitoring and consensus monitoring are considered in this report. Modified Bonferroni methods are examined for parallel monitoring. Both multiple univariate and multivariate methods are applied for consensus monitoring. A multivariate adaptation of Monte Carlo trials, using the injection of epidemic-curve-like signals in the multiple data streams of interest, is presented for evaluation of the various tests. RESULTS: The Monte Carlo test results demonstrate that the multiple univariate combination methods of Fisher and Edgington provide the most robust detection performance across the scenarios tested. As the number of data streams increases, methods based on Hotelling's T2 offer added sensitivity for certain signal scenarios. This potential advantage is clearer when strong correlation exists among the data streams. CONCLUSION: Parallel and consensus monitoring tools must be blended to enable a surveillance system with distributed sensitivity and controlled alert rates. Whether a multiple univariate or multivariate approach should be used for consensus monitoring depends on the number and distribution of useful data sources and also on their covariance structure and stationarity. Strong, consistent correlation among numerous sources warrants the examination of multivariate control charts.

Algorithms↗
PubMed1997

Future trends affecting public health: challenges and opportunities.

Many accomplishments of public health can be cited, yet public health professionals face unprecedented challenges and opportunities in the coming decades. To assist public health practitioners, researchers, and educators in preparing for current and future changes affecting the population's health, the authors describe several important "macrolevel" trends. These trends include: the aging of the population, changing patterns in the U.S. racial/ethnic composition, changes in health care delivery systems, the explosion of information technologies, changing needs in the public health work force, the growth in health-related partnerships, and anti-government sentiment and polarization. A series of implications for each of the major trends is provided. It may be important for public health leaders and policy makers to take these trends and implications into account as they plan and prioritize future approaches to disease prevention and health promotion.

Aged↗
PubMed1994

Using Videotex in public health in Belgium.

In public health, access to information is more and more felt to be an urgent need. In this matter Videotex has shown to be a good working tool, though its utilisation in Belgium is not widespread yet. The Institute for Hygiene and Epidemiology has implemented EPITEL, a databank allowing for consultation of data on health and environment. The rationale for the choice of Videotex as a consulting tool is analysed here. Though very user-friendly, its high technicality allows for certain applications to function in real time mode, generate graphics, or even to consult an expert system, as the one used in the application on immunisations. In this way Videotex can also be a helpful tool in primary prevention, besides its data consulting function. This demonstration will present the five applications: health and travelling, health indicators, allergenic pollen, biological quality of the swimming waters at the coast, air pollution data. It shortly presents the hardware and software supporting the system, as well as a few results of a two-year experience running the system. Some shortcomings of the actual system may be highlighted, and possible evolutions might be discussed.

Belgium↗
PubMed2003

The Danish National Health Informatics Strategy.

The central vision for the future information systems in the Danish health care sector is one of a generally accepted, common information model enabling comprehensive digital reuse of shared clinical data. A generic 'Basic-EHR-structure' has been developed for this purpose by the National Board of Health from a through analysis of the production of clinical information. The strategy contributes to the achievement of the national political goals for the health care sector and describes four important steps to be made by the health care IT systems in order to reach full interoperability and digital reusability of clinical information. Some important initiatives of the strategy are a national terminology server, coordinated implementation of EHRs, and the Public Health Information Portal.

Denmark↗
PubMed2005

An adaptive prediction and detection algorithm for multistream syndromic surveillance.

BACKGROUND: Surveillance of Over-the-Counter pharmaceutical (OTC) sales as a potential early indicator of developing public health conditions, in particular in cases of interest to biosurvellance, has been suggested in the literature. This paper is a continuation of a previous study in which we formulated the problem of estimating clinical data from OTC sales in terms of optimal LMS linear and Finite Impulse Response (FIR) filters. In this paper we extend our results to predict clinical data multiple steps ahead using OTC sales as well as the clinical data itself. METHODS: The OTC data are grouped into a few categories and we predict the clinical data using a multichannel filter that encompasses all the past OTC categories as well as the past clinical data itself. The prediction is performed using FIR (Finite Impulse Response) filters and the recursive least squares method in order to adapt rapidly to nonstationary behaviour. In addition, we inject simulated events in both clinical and OTC data streams to evaluate the predictions by computing the Receiver Operating Characteristic curves of a threshold detector based on predicted outputs. RESULTS: We present all prediction results showing the effectiveness of the combined filtering operation. In addition, we compute and present the performance of a detector using the prediction output. CONCLUSION: Multichannel adaptive FIR least squares filtering provides a viable method of predicting public health conditions, as represented by clinical data, from OTC sales, and/or the clinical data. The potential value to a biosurveillance system cannot, however, be determined without studying this approach in the presence of transient events (nonstationary events of relatively short duration and fast rise times). Our simulated events superimposed on actual OTC and clinical data allow us to provide an upper bound on that potential value under some restricted conditions. Based on our ROC curves we argue that a biosurveillance system can provide early warning of an impending clinical event using ancillary data streams (such as OTC) with established correlations with the clinical data, and a prediction method that can react to nonstationary events sufficiently fast. Whether OTC (or other data streams yet to be identified) provide the best source of predicting clinical data is still an open question. We present a framework and an example to show how to measure the effectiveness of predictions, and compute an upper bound on this performance for the Recursive Least Squares method when the following two conditions are met: (1) an event of sufficient strength exists in both data streams, without distortion, and (2) it occurs in the OTC (or other ancillary streams) earlier than in the clinical data.

Algorithms↗
PubMed2005

Harnessing the power of an intelligent health environment in cancer control.

In 1971, when Congress declared "war on cancer," the public's perception was driven by an image of a single cure for a single disease. What researchers have learned since that time is that cancer is a formidable enemy made up of more than 100 different disease etiologies. The war on cancer became a war of the 21st century; a war to be fought on multiple fronts against a diffuse enemy and for which prevention was the most judicious path to victory. To fight this new war on cancer, the National Cancer Institute must seek to harness the power of health informatics to create a supportive environment for transforming science, delivering safe and patient-centric health care, and creating an environment of personal empowerment in public health. Three different types of health informatics applications are implicated: (a) applications in bioinformatics, which are intended to revitalize the engine of scientific discovery; (b) applications in medical informatics, which will create a safer and more effective environment for delivery; and (c) applications in consumer informatics, which will enable individuals to advance the charge of their own ongoing health care over the course of their lives. To keep these applications on track, health care administrators must take a sociotechnical approach to implementation. The new systems must be built into the health care environment in such a way that they support human capacities, provide failsafe backups in the face of cognitive and physical limitations, and support continuous quality improvement.

Computational Biology↗
PubMed2001

Shared expectations for protection of identifiable health care information: report of a national consensus process.

OBJECTIVE: The Ethical Force Program is a collaborative effort to create performance measures for ethics in health care. This report lays out areas of consensus that may be amenable to performance measurement on protecting the privacy, confidentiality and security of identifiable health information. DESIGN: Iterative consensus development process. PARTICIPANTS: The program's oversight body and its expert panel on privacy include national leaders representing the perspectives of physicians, patients, purchasers, health plans, hospitals, and medical ethicists as well as public health, law, and medical informatics experts. METHODS AND MAIN RESULTS: The oversight body appointed a national Expert Advisory Panel on Privacy and Confidentiality in September 1998. This group compiled and reviewed existing norms, including governmental reports and legal standards, professional association policies, private organization statements and policies, accreditation standards, and ethical opinions. A set of specific and assessable expectations for ethical conduct in this domain was then drafted and refined through 7 meetings over 16 months. In the final 2 iterations, each expectation was graded on a scale of 1 to 10 by each oversight body member on whether it was: (1) important, (2) universally applicable, (3) feasible to measure, and (4) realistic to implement. The expectations that did not score more than 7 (mean) on all 4 scales were reconsidered and retained only if the entire oversight body agreed that they should be used as potential subjects for performance measurement. Consensus was achieved on 34 specific expectations. The expectations fell into 8 content areas, addressing the need for transparency of policies and practices, consent for use and disclosure of identifiable information, limitations on information that can be collected and by whom, individual access to one's own health records, security requirements for storage and transfer of information, provisions to ensure ongoing data quality, limitations on how identifiable information may be used, and provisions for meaningful accountability. CONCLUSIONS: This process established consensus on 34 measurable ethical expectations for the protection of privacy and confidentiality in health care. These expectations should apply to any organization with access to personally identifiable health information, including managed care organizations, physician groups, hospitals, other provider organizations, and purchasers. Performance measurement on these expectations may improve accountability across the health care system.

Confidentiality↗
PubMedDate not supplied

Human meaning of medical informatics: reflections on its future and trends.

The philosophy underlying medical informatics, and indeed information systems in general, is discussed. The need for integrating concepts is considered, and particular emphasis is placed on the avoidance of fragmentation and overspecialization. Human and artificial intelligence are compared and contrasted. It is shown that human intellectual activity cannot be reduced to a set of formal computations. The main emphasis of this paper is that the unique properties of human intelligence should not be devalued or ignored in attempts to promote machine systems in unappropriate areas.

Artificial Intelligence↗
PubMed2004

Bioinformatics: towards new directions for public health.

OBJECTIVES: Epidemiologists are reformulating their classical approaches to diseases by considering various issues associated to "omics" areas and technologies. Traditional differences between epidemiology and genetics include background, training, terminologies, study designs and others. Public health and epidemiology are increasingly looking forward to using methodologies and informatics tools, facilitated by the Bioinformatics community, for managing genomic information. Our aim is to describe which are the most important implications related with the increasing use of genomic information for public health practice, research and education. To review the contribution of bioinformatics to these issues, in terms of providing the methods and tools needed for processing genetic information from pathogens and patients. To analyze the research challenges in biomedical informatics related with the need of integration of clinical, environmental and genetic data and the new scenarios arisen in public health. METHODS: Review of the literature, Internet resources and material and reports generated by internal and external research projects. RESULTS: New developments are needed to advance in the study of the interactions between environmental agents and genetic factors involved in the development of diseases. The use of biomarkers, biobanks, and integrated genomic/clinical databases poses serious challenges for informaticians in order to extract useful information and knowledge for public health, biomedical research and healthcare. CONCLUSIONS: From an informatics perspective, integrated medical/biological ontologies and new semantic-based models for managing information provide new challenges for research in areas such as genetic epidemiology and the "omics" disciplines, among others. In this regard, there are various ethical, privacy, informed consent and social implications, that should be carefully addressed by researchers, practitioners and policy makers.

Computational Biology↗