Male Mortality Trends in the United States, 1900-2010: Progress, Challenges, and Opportunities.

OBJECTIVES: Male mortality fell substantially during the past century, and major causes of death changed. Building on our recent analysis of female mortality trends in the United States, we examined all-cause and cause-specific mortality trends at each decade from 1900 to 2010 among US males. METHODS: We conducted a descriptive study of age-adjusted death rates (AADRs) for 11 categories of disease and injury stratified by race (white, nonwhite, and, when available, black), the excess of male mortality over female mortality ([male AADR - female AADR]/female AADR), and potential causes of persistent excess of male mortality. We used national mortality data for each decade. RESULTS: From 1900 to 2010, the all-cause AADR declined 66.4% among white males and 74.5% among nonwhite males. Five major causes of death in 1900 were pneumonia and influenza, heart disease, stroke, tuberculosis, and unintentional nonmotor vehicle injuries; in 2010, infectious conditions were replaced by cancers and chronic lower respiratory diseases. The all-cause excess of male mortality rose from 9.1% in 1900 to 65.5% in 1980 among white males and a peak of 63.7% in 1990 among nonwhite males, subsequently falling among all groups. CONCLUSION: During the last century, AADRs among males declined more slowly than among females. Although the gap diminished in recent decades, exploration of social and behavioral factors may inform interventions that could further reduce death rates among males.

A Review of Global Literature on Using Administrative Data to Estimate Prevalence of Intellectual and Developmental Disabilities.

As understanding of health deficits among people with intellectual and developmental disabilities (IDD) increases, concerns grow about how to develop comprehensive, sustainable surveillance systems to reliably monitor the health of this population over time. This study reviews literature from 12 countries in which retrospective administrative data have been used to estimate population-based prevalence of IDD, identifies promising practices in that literature, and discusses the feasibility of applying those promising practices to other countries. Administrative data sources can be used to identify the number of people with IDD (numerators) in the presence of population estimates from which people with IDD are drawn (denominators) for discrete geographic locations. Case ascertainment methods, age groupings, data years captured, and other methods vary, contributing to a wide variation in prevalence rates. Six methods are identified from five countries that appear to offer the greatest likelihood of expanded applications. Approaches in which administrative data collections are linked with other population-based data sources appear promising as a means of estimating the size and characteristics of populations living with IDD in defined geographic locations. They offer the potential for sustainability, timeliness, accuracy, and efficiency.

Trends in Mortality Among Females in the United States, 1900-2010: Progress and Challenges.

INTRODUCTION: We analyzed trends in US female mortality rates by decade from 1900 through 2010, assessed age and racial differences, and proposed explanations and considered implications. METHODS: We conducted a descriptive study of trends in mortality rates from major causes of death for females in the United States from 1900 through 2010. We analyzed all-cause unadjusted death rates (UDRs) for males and females and for white and nonwhite males and females from 1900 through 2010. Data for blacks, distinct from other nonwhites, were available beginning in 1970 and are reported for this and following decades. We also computed age-adjusted all-cause death rates (AADRs) by the direct method using age-specific death rates and the 2000 US standard population. Data for the analysis of decadal trends in mortality rates were obtained from yearly tabulations of causes of death from published compilations and from public use computer data files. RESULTS: In 1900, UDRs and AADRs were higher for nonwhites than whites and decreased more rapidly for nonwhite females than for white females. Reductions were highest among younger females and lowest among older females. Rates for infectious diseases decreased the most. AADRs for heart disease increased 96.5% in the first 5 decades, then declined by 70.6%. AADRs for cancer rose, then decreased. Stroke decreased steadily. Unintentional motor vehicle injury AADRs increased, leveled off, then decreased. Differences between white and nonwhite female all-cause AADRs almost disappeared during the study period (5.4 per 100,000); differences in white and black AADRs remained high (121.7 per 100,000). CONCLUSION: Improvements in social and environmental determinants of health probably account for decreased mortality rates among females in the early 20th century, partially offset by increased smoking. In the second half of the century, other public health and clinical measures contributed to reductions. The persistent prevalence of risk behaviors and underuse of preventive and medical services indicate opportunities for increased female longevity, particularly in racial minority populations.

Electronic health records and US public health: current realities and future promise.

Electronic health records (EHRs) could contribute to improving population health in the United States. Realizing this potential will require understanding what EHRs can realistically offer to efforts to improve population health, the requirements for obtaining useful information from EHRs, and a plan for addressing these requirements. Potential contributions of EHRs to improving population health include better understanding of the level and distribution of disease, function, and well-being within populations. Requirements are improved population coverage of EHRs, standardized EHR content and reporting methods, and adequate legal authority for using EHRs, particularly for population health. A collaborative national effort to address the most pressing prerequisites for and barriers to the use of EHRs for improving population health is needed to realize the EHR's potential.

The population health record: concepts, definition, design, and implementation.

In 1997, the American Medical Informatics Association proposed a US information strategy that included a population health record (PopHR). Despite subsequent progress on the conceptualization, development, and implementation of electronic health records and personal health records, minimal progress has occurred on the PopHR. Adapting International Organization for Standarization electronic health records standards, we define the PopHR as a repository of statistics, measures, and indicators regarding the state of and influences on the health of a defined population, in computer processable form, stored and transmitted securely, and accessible by multiple authorized users. The PopHR is based upon an explicit population health framework and a standardized logical information model. PopHR purpose and uses, content and content sources, functionalities, business objectives, information architecture, and system architecture are described. Barriers to implementation and enabling factors and a three-stage implementation strategy are delineated.

Measuring population health outcomes.

An ideal population health outcome metric should reflect a population's dynamic state of physical, mental, and social well-being. Positive health outcomes include being alive; functioning well mentally, physically, and socially; and having a sense of well-being. Negative outcomes include death, loss of function, and lack of well-being. In contrast to these health outcomes, diseases and injuries are intermediate factors that influence the likelihood of achieving a state of health. On the basis of a review of outcomes metrics currently in use and the availability of data for at least some US counties, I recommend the following metrics for population health outcomes: 1) life expectancy from birth, or age-adjusted mortality rate; 2) condition-specific changes in life expectancy, or condition-specific or age-specific mortality rates; and 3) self-reported level of health, functional status, and experiential status. When reported, outcome metrics should present both the overall level of health of a population and the distribution of health among different geographic, economic, and demographic groups in the population.

Information for disasters, information disasters, and disastrous information.

Information is needed to support humanitarian responses in every phase of a disaster. Participants of a multilateral working group convened to examine how best to meet these information needs. Although information systems based on routine reporting of diseases are desirable because they have the potential to identify trends, these systems usually do not deliver on their promise due to inadequate organization and management to support them. To identify organizational and management characteristics likely to be associated with successful information systems in disaster settings, evaluations of the Integrated Disease Surveillance and Response (IDSR) programs in 12 participating countries were reviewed. Characteristics that were mentioned repeatedly in the evaluations as associated with success were grouped into nine categories: (1) human resources management and supervision; (2) political support; (3) strengthened laboratory capacity; (4) communication and feedback (through many mechanisms); (5) infrastructure and resources; (6) system design and capacity; (7) coordination and partnerships with stakeholders; (8) community input; and (9) evaluation. Selected characteristics and issues within each category are discussed. Based on the review of the IDSR evaluations and selected articles in the published literature, recommendations are provided for improving the short- and long-term organization and management of information systems in humanitarian responses associated with disasters. It is suggested that information systems that follow these recommendations are more likely to yield quality information and be sustainable even in disaster settings.

Characteristics, desired functionalities, and datasets of state Web-based Data Query Systems.

Based on a review of state public health department Web sites, this article describes Web-based Data Query Systems (WDQSs) currently used in 27 US states. In addition, functionalities of selected well-established state WDQSs are defined as major functionalities (11), subfunctionalities (21), and specific functionalities (141), on the basis of a consensus process with participants from states and national organizations in the United States and Canada. Also, on the basis of the consensus process, specific functionalities are categorized as core, enhanced, and expert. Key terms relevant to WDQSs are defined. The information contained in this article should prove useful to public health agencies developing, revising, or evaluating the WDQS.