Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Public Health Informatics”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

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

At least 631 records · Page 35Linked to original sources
PubMedDate not supplied

Usefulness of an observational database to assess antiretroviral treatment trends in India.

BACKGROUND: Human immunodeficiency virus (HIV) observational cohorts, which are established worldwide, support comparative studies across different regions. They have played an important role in developing international and country-specific HIV treatment and care guidelines. We describe the YRG CARE Chennai HIV observation database (YCHOD) and highlight its utility in monitoring trends in antiretroviral treatment use and HIV disease outcomes in India. METHODS: The baseline characteristics, time trends in antiretroviral treatment, trends in incidence of acquired immune deficiency syndrome (AIDS)-defining illness and mortality following the introduction of highly active antiretroviral therapy (HAART) in India were assessed using YCHOD. RESULTS: Till January 2005, 7647 HIV-positive patients had registered in YCHOD. A majority of the patients were men (69%) and had a mean age of 32 years. At baseline, 14% had an existing AIDS-defining illness. Among patients who required therapy by the WHO criteria, 14% initiated antiretroviral therapy (ART) in 1996 and 35% in 2000. Since the dramatic cost reduction of generic HAART in 2001, there has been an increase in the proportion of patients receiving ART to 57% in 2004. In patients who were started on HAART, the incidence of at least one AIDS-defining illness was 2% in 2001, and this decreased to 0.48% in 2004. CONCLUSION: We feel observational cohorts are useful as a surveillance tool for monitoring trends in treatment and disease progression. Standardized observational data collected systematically on HIV-infected individuals will help to assess the cost-effectiveness of ART and in planning ART strategies for India.

AIDS-Related Opportunistic Infections↗
PubMedDate not supplied

Legal foundations for a national public health agency in Canada.

This commentary addresses some of the key legal challenges associated with establishing a national public health agency in Canada. These include issues related to privacy and confidentiality of personal health information in the public health context, constraints on the jurisdiction and powers of a national agency, the need to respect individual rights and freedoms in an outbreak situation, and international cooperation in infectious disease control. The authors are part of a research initiative, comprised of experts in law, public health policy and medicine, that is currently analyzing legal considerations that may influence the mandate of a national public health agency in regard to infectious disease activities. This article discusses critical issues raised at a meeting in August 2004 that brought the research team together with key federal and provincial policy-makers and members of the public health community. The commentary emphasizes that law sets the foundation for public health activities, and the promise of a national public health agency will only be realized if significant legal issues are examined early on to ensure the agency is built on a robust legal and policy framework.

Canada↗
PubMed2006

Building an academic-community partnered network for clinical services research: the Community Health Improvement Collaborative (CHIC).

OBJECTIVE: Community-based participatory research is recommended for research on health disparities and to improve uptake of clinical research findings. We describe the development of a multicenter consortium designed to support a community agency-academic partner infrastructure to support community-based, health-services research on multiple sources of health and healthcare disparities in local communities. DESIGN: We describe the development of the Los Angeles Community Health Improvement Collaborative (CHIC). RESULTS: The CHIC partners examined the research capacity and health priorities of its partners and developed a research agenda focused on four tracer conditions (depression, violence, diabetes, and obesity) and four areas for development of research capacity: public participation in all phases of research; understanding community and organizational context for clinical services interventions; practical clinical services trial methods; and advancing health information technology for clinical services research. The partners pooled resources to develop these areas for the tracer conditions. CONCLUSIONS: The challenges of a participatory approach to community-based clinical services research go beyond the significant methodologic and operational issues for specific projects and include building a sustainable capacity for research, community programs, and partnership across diverse communities and stakeholder organizations even when funding sources are not fully aligned with these goals.

Community Participation↗
PubMed2006

Infant mortality statistics from the 2003 period linked birth/infant death data set.

OBJECTIVES: This report presents 2003 period infant mortality statistics from the linked birth/infant death data file by a variety of maternal and infant characteristics. The linked file differs from the mortality file, which is based entirely on death certificate data. METHODS: Descriptive tabulations of data are presented and interpreted. Excluding rates by cause of death, the infant mortality rate is now published with two decimal places. RESULTS: The U.S. infant mortality rate was 6.84 infant deaths per 1,000 live births in 2003, a return to the rate in 2001, compared with 6.95 in 2002. Infant mortality rates ranged from 4.83 per 1,000 live births for Asian or Pacific Islander mothers to 13.60 for non-Hispanic black mothers. Among Hispanics, rates ranged from 4.57 for Cuban mothers to 8.18 for Puerto Rican mothers. Infant mortality rates were higher for those infants whose mothers were born in the 50 States and the District of Columbia, were unmarried, or smoked during pregnancy. Infant mortality was also higher for male infants, multiple births, and infants born preterm or at low birthweight. Infants born at the lowest birthweights and gestational ages have a large impact on overall U.S. infant mortality. Nearly one-half (49 percent) of all infant deaths in the U.S. in 2003 occurred to the 0.8 percent of infants whose birthweight was less than 1,000 grams. The three leading causes of infant death--Congenital malformations, low birthweight, and SIDS--taken together accounted for 45 percent of all infant deaths. For infants of non-Hispanic black mothers, the cause-specific infant mortality rate for low birthweight was nearly four times that for infants of non-Hispanic white mothers. For infants of non-Hispanic black and American Indian mothers, the SIDS rates were more than double the rate for non-Hispanic white mothers.

Birth Certificates↗
PubMed2005

Linking primary care information systems and public health vertical programs in the Philippines: an open-source experience.

Community-based primary care information systems are one of the building blocks for national health information systems. In the Philippines, after the devolution of health care to local governments, we observed "health information system islands" connected to national vertical programs being implemented in devolved health units. These structures lead to a huge amount of "information work" in the transformation of health information at the community level. This paper describes work done to develop and implement the open-source Community Based Health Information Tracking System (CHITS) Project, which was implemented to address this information management problem and its outcomes. Several lessons learned from the field as well as software development strategies are highlighted in building community level information systems that link to national level health information systems.

Community Networks↗
PubMed2005

Towards a simulation environment for modeling of local influenza outbreaks.

OBJECTIVE: To analyze the design of a simulation environment for dynamic prediction of influenza transmission in local communities. METHODS: The technique trade-off method was used to identify and analyze basic design requirements on a simulation environment for modeling of influenza transmission. Data were collected through literature review and interviews with infectious disease experts. The identified requirements were matched to a set of design issues for the simulation environment,and a high-resolution prototype was implemented. RESULTS: Basic reproductive numbers for influenza transmission in a set of Swedish municipalities were calculated. Tradeoffs were necessary in the design between a focus on reproductive numbers vs. case fatality proportions, algorithm validity vs. model adaptability, and specificity in population description vs. generalizability. CONCLUSION: Computer-based simulations can become important tools for local authorities preparing for influenza outbreaks. Balanced tradeoffs between model detail and public health effectiveness are important in simulation environment design.

Adolescent↗
PubMed2005

Key design elements of a data utility for national biosurveillance: event-driven architecture, caching, and Web service model.

The National Retail Data Monitor (NRDM) has monitored over-the-counter (OTC) medication sales in the United States since December 2002. The NRDM collects data from over 18,600 retail stores and processes over 0.6 million sales records per day. This paper describes key architectural features that we have found necessary for a data utility component in a national biosurveillance system. These elements include event-driven architecture to provide analyses of data in near real time, multiple levels of caching to improve query response time, high availability through the use of clustered servers, scalable data storage through the use of storage area networks and a web-service function for interoperation with affiliated systems. The methods and architectural principles are relevant to the design of any production data utility for public health surveillance-systems that collect data from multiple sources in near real time for use by analytic programs and user interfaces that have substantial requirements for time-series data aggregated in multiple dimensions.

Commerce↗
PubMed2005

Feasibility of leveraging electronic data from pediatric hospitals for national surveillance: a survey of chief information officers.

Public health informaticians are evaluating new data sources to optimize real-time surveillance for detecting disease outbreaks. Pediatric populations are often overlooked, but may provide important signals for many reportable and vaccine preventable diseases, as well as emerging infections. The ability of pediatric hospitals to contribute timely information to the identification of disease outbreaks has not been rigorously evaluated. We sought to determine the feasibility of leveraging data from pediatric hospitals to support national disease surveillance, by measuring: 1) the types of pediatric hospital records currently stored in electronic form and accessible to query; 2) the current automated reporting capabilities of pediatric hospitals; and 3) the attitudes of Chief Information Officers (CIOs) towards disease surveillance.

Child↗
PubMed2005

Reviewing and managing syndromic surveillance SaTScan datasets using an open source data visualization tool.

SaTScan is a popular, free software tool used to identify disease clusters early in the course of an outbreak. Using geographic and time-based surveillance data, SaTScan can generate large datasets that are difficult for humans to interpret. Tracing disease clusters through space and time using text tables is a challenging cognitive task. To simplify this process, we developed a Java-based open-source tool to transform SaTScan analytic datasets into easily navigable data visualizations.

Cluster Analysis↗
PubMed2005

An open source environment for the statistical evaluation of outbreak detection methods.

We describe the design and initial steps to implementation of a computational framework for evaluating outbreak detection methods. The framework will include components for combining simulated and historical data to create artificial outbreaks and components that implement various outbreak detection algorithms. The first algorithms to be implemented are the three Cumulative Sums (cusum) methods described in the CDC Early Aberration Reporting System.

Algorithms↗
PubMed2005

Developing metadata to organize public health datasets.

The Centers for Disease Control and Prevention (CDC) has available a large number of datasets from previous and current surveillance and research.1 Until now, these datasets have not been catalogued. Metadata would organize these datasets and enhance CDC's ability to efficiently use this data to quickly gain the broader view of the nation's health status to effectively carry out public health activities. This project was to develop metadata for cataloguing CDC datasets and a system that would allow researchers to search at least 95% of databases within CDC based on the most relevant criteria for research. It also explored the need to involve stakeholders and users in the project. The resulting metadata and system are available only to CDC researchers on the CDC intranet.

Cataloging↗
PubMed2005

Applying organizational network analysis techniques to study information use in a public health agency.

We are applying organizational network analysis to explore information use in a public health department. The technique is grounded in social science theory, and employs calculations derived from graph theory to generate statistical and graphical models from relational data matrices. For this pilot we will develop network models to characterize how information use in routine work contributes to the agency's performance goals. This is the first step in ongoing work that will extend network analysis with computational methods, to predict the potential effects that improving information use has on the agency's performance.

Humans↗
PubMedDate not supplied

Surveillance and management of salmonella food poisoning.

Reports of Salmonella Montevideo in UK chocolate have put foodborne disease back in the headlines. This article looks at the nature, prevalence and management of this public health problem and highlights the importance of surveillance.

Australia↗