National Data Systems Research Articles

Births and their outcomes by time, day and year: a retrospective birth cohort data linkage study

BackgroundStudies of daily variations in the numbers of births in England and Wales since the 1970s have found a pronounced weekly cycle, with numbers of daily births being highest from Tuesdays to Fridays and lowest at weekends and on public holidays. Mortality appeared to be higher at weekends. As time of birth was not included in national data systems until 2005, there have been no previous analyses by time of day.ObjectivesTo link data from birth registration and birth notification to data about care during birth and any subsequent hospital admissions and to quality assure the linkage. To use the linked data to analyse births and their outcomes by time of day, day of the week and year of birth.DesignA retrospective birth cohort analysis of linked routine data.SettingEngland and Wales.Outcome measuresMortality of babies and mothers, and morbidity recorded at birth and any subsequent hospital admission.Population and data sourcesBirth registration and notification records of 7,013,804 births in 2005–14, already linked to subsequent death registration records for babies, children and women who died within 1 year of giving birth, were provided by the Office for National Statistics. Stillbirths and neonatal deaths data from confidential enquiries for 2005–9 were linked to the registration records. Data for England were linked to Hospital Episode Statistics (HES) and data for Wales were linked to the Patient Episode Database for Wales and the National Community Child Health Database.ResultsCross-sectional analysis of all births in England and Wales showed a regular weekly cycle. Numbers of births each day increased from Mondays to Fridays. Numbers were lowest at weekends and on public holidays. Overall, numbers of births peaked between 09.00 and 12.00, followed by a much smaller peak in the early afternoon and a decrease after 17.00. Numbers then increased from 20.00, peaking at around 03.00–05.00, before falling again after 06.00. Singleton births after spontaneous onset and birth, including births in freestanding midwifery units and at home, were most likely to occur between midnight and 06.00, peaking at 04.00–06.00. Elective caesarean births were concentrated in weekday mornings. Births after induced labours were more likely to occur at hours around midnight on Tuesdays to Saturdays, irrespective of the mode of birth.LimitationsThe project was delayed by data access and information technology infrastructure problems. Data from confidential enquiries were available only for 2005–9 and some HES variables were incomplete. There was insufficient time to analyse the mortality and morbidity outcomes.ConclusionsThe timing of birth varies by place of birth, onset of labour and mode of birth. These patterns have implications for midwifery and medical staffing.Future workAn application has now been submitted for funding to analyse the mortality outcomes and further funding will be sought to undertake the other outstanding analyses.FundingThis project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full inHealth Services and Delivery Research; Vol. 7, No. 18. See the NIHR Journals Library website for further project information.

Prescription opioids, alcohol and fatal motor vehicle crashes: a population-based case-control study

BackgroundThe prevalence of prescription opioid use among drivers has increased markedly in the past two decades. The purpose of this study is to assess the associations of prescription opioid use and alcohol use with the risk of fatal crash involvement in US drivers.MethodsWe performed a population-based case-control study using toxicological testing data from two national data systems. Cases (n = 3606) were drivers involved in fatal motor vehicle crashes selected from the Fatality Analysis Reporting System and controls (n = 15,600) were drivers participating in the 2007 and 2013 National Roadside Surveys of Alcohol and Drug Use by Drivers. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) of fatal crash involvement associated with prescription opioid use with and without the presence of alcohol.ResultsOverall, cases were significantly more likely than controls to test positive for prescription opioids (5.0% vs. 3.7%, p < 0.001), alcohol (56.2% vs. 7.1%, p < 0.0001), and both substances (2.2% vs. 0.2%, p < 0.001). Relative to drivers testing negative for prescription opioids and alcohol, the adjusted ORs of fatal crash involvement were 1.72 (95% CI: 1.37, 2.17) for those testing positive for prescription opioids and negative for alcohol, 17.92 (95% CI: 16.19, 19.84) for those testing positive for alcohol and negative for prescription opioids, and 21.89 (95% CI: 14.38, 33.32) for those testing positive for both substances. The interaction effect on fatal crash risk of prescription opioid use and alcohol use was not statistically significant on either additive or multiplicative scale.ConclusionsPrescription opioid use is associated with a significantly increased risk of fatal crash involvement independently of alcohol use. Concurrent use of prescription opioids and alcohol is associated with a 21-fold increased risk of fatal crash involvement.

Diagnosis and monitoring of HIV programmes to support treatment initiation and follow up and improve programme quality.

The HIV 'cascade of care' breaks down at several points, with delayed HIV diagnosis, late treatment initiation, or interruption, leading to new morbidity and mortality and loss of prevention effects. New approaches are needed at each step. HIV testing is still not reaching certain communities, resulting in late presentation. Creative ways to reach these communities is being explored, including with self-testing. HIV misdiagnosis is increasingly recognized as undermining testing programmes, highlighting the need for better quality control. More rapid antiretroviral initiation, even on the same day, initiation outside of health facilities, and more efficient defaulter re-initiation, may mean better retention and virological control. New antiretrovirals may address side effects responsible for poor adherence and treatment failure, as well as requiring lower adherence levels. Viral load monitoring expansion is required, but mechanisms are needed to ensure healthcare workers act on detectable results; point of care technologies may partly address this. Side-effect monitoring at a programme level is needed to characterise 'real world' effectiveness. Integrated monitoring systems, using single patient identifiers and utilizing national laboratory data systems, will allow for better characterization and interventions that limit loss to follow up, and allow better pharmacovigilance and programme performance.

Pediatric Trauma Assessment and Management Database: Leveraging Existing Data Systems to Predict Mortality and Functional Status after Pediatric Injury

Efforts to improve pediatric trauma outcomes need detailed data, optimally collected at lowest cost, to assess processes of care. We developed a novel database by merging 2 national data systems for 5 pediatric trauma centers to provide benchmarking metrics for mortality and non-mortality outcomes and to assess care provided throughout the care continuum. Trauma registry and Virtual Pediatric Systems, LLC (VPS) from 5 pediatric trauma centers were merged for children younger than 18 years discharged in 2013 from a pediatric ICU after traumatic injury. For inpatient mortality, we compared risk-adjusted models for trauma registry only, VPS only, and a combination of trauma registry and VPS variables (trauma registry+VPS). To estimate risk-adjusted functional status, we created a prediction model de novo through purposeful covariate selection using dichotomized Pediatric Overall Performance Category scale. Of 688 children included, 77.3% were discharged from the ICU with good performance or mild overall disability and 17.6% with moderate or severe overall disability or coma. Inpatient mortality was 5.1%. The combined dataset provided the best-performing risk-adjusted model for predicting mortality, as measured by the C-statistic, pseudo-R2, and Akaike Information Criterion, when compared with the trauma registry-only model. The final Pediatric Overall Performance Category model demonstrated adequate discrimination (C-statistic= 0.896) and calibration (Hosmer-Lemeshow goodness-of-fit p= 0.65). The probability of poor outcomes varied significantly by site (p < 0.0001). Merging 2 data systems allowed for improved risk-adjusted modeling for mortality and functional status. The merged database allowed for patient evaluation throughout the care continuum on a multi-institutional level. Merging existing data is feasible, innovative, and has potential to impact care with minimal new resources.

Data Linkage Strategies to Advance Youth Suicide Prevention: A Systematic Review for a National Institutes of Health Pathways to Prevention Workshop.

Linking national, state, and community data systems to data from prevention programs could allow for longer-term assessment of outcomes and evaluation of interventions to prevent suicide. To identify and describe data systems that can be linked to data from prevention studies to advance youth suicide prevention research. A systematic review, an environmental scan, and a targeted search were conducted to identify prevention studies and potentially linkable external data systems with suicide outcomes from January 1990 through December 2015. Studies and data systems had to be U.S.-based and include persons aged 25 years or younger. Data systems also had to include data on suicide, suicide attempt, or suicidal ideation. Information about participants, intervention type, suicide outcomes, primary analytic method used for linkage, statistical approach, analyses performed, and characteristics of data systems was abstracted by 2 reviewers. Of 47 studies (described in 59 articles) identified in the systematic review, only 6 were already linked to data systems. A total of 153 unique and potentially linkable data systems were identified, but only 66 were classified as "fairly accessible" and had data dictionaries available. Of the data systems identified, 19% were established primarily for research, 11% for clinical care or operations, 29% for administrative services (such as billing), and 52% for surveillance. About one third (37%) provided national data, 12% provided regional data, 63% provided state data, and 41% provided data below the state level (some provided coverage for >1 geographic unit). Only U.S.-based studies published in English were included. There is untapped potential to evaluate and enhance suicide prevention efforts by linking suicide prevention data with existing data systems. However, sparse availability of data dictionaries and lack of adherence to standard data elements limit this potential. Agency for Healthcare Research and Quality.

Data Linkage Strategies to Advance Youth Suicide Prevention.

Linking national, State, and community data systems, such as those used for medical service billing, to existing data from suicide prevention efforts could facilitate the assessment of longer term outcomes. Our objective was to identify and describe data systems that can be linked to data from studies of youth suicide prevention interventions and to identify analytic approaches to advance youth suicide prevention research. We conducted a systematic review to identify studies of suicide prevention interventions and three types of searches to identify data systems providing suicide-related outcomes: (1) a literature search, (2) an environmental scan of gray literature, and (3) a targeted search, through contact with relevant individuals, in six States, two cities, and one tribal community. Two independent reviewers screened all results. Studies and data systems had to be based in the United States; include individuals between 0 and 25 years of age; and include suicide, suicide attempt, or suicide ideation as an outcome. Of the 47 studies (described in 59 articles) of suicide prevention interventions identified in our systematic review, only 6 studied outcomes by linking to external data systems and only 12 explored treatment heterogeneity through the effects of moderators such as gender or race/ethnicity. We identified 153 unique and potentially linkable external data systems, 66 of which we classified as "fairly accessible" with data dictionaries available. There is potential for linking existing data systems with suicide prevention efforts to assess the broader and extended impact of suicide prevention interventions. However, sparse availability of data dictionaries and lack of adherence to standard data elements limit the potential utility of linking prevention efforts with data systems.

The evolution of healthcare quality measurement in the United States.

Quality measurement is fundamental to systematic improvement of the healthcare system. Whilst the United States has made significant investments in healthcare quality measurement and improvement, progress has been somewhat limited. Public and private payers in the United States increasingly mandate measurement and reporting as part of pay-for-performance programmes. Numerous issues have limited improvement, including lack of alignment in the use of measures and improvement strategies, the fragmentation of the U.S. healthcare system, and the lack of national electronic systems for measurement, reporting, benchmarking and improvement. Here, we provide an overview of the evolution of U.S. quality measurement efforts, including the role of the National Quality Forum. Important contextual changes such as the growing shift towards electronic data sources and clinical registries are discussed together with international comparisons. In future, the U.S. healthcare system needs to focus greater attention on the development and use of measures that matter. The three-part aim of effective care, affordable care and healthy communities in the U.S. National Quality Strategy focuses attention on population health and reduction in healthcare disparities. To make significant improvements in U.S. health care, a closer connection between measurement and both evolving national data systems and evidence-based improvement strategies is needed.

Addressing migration-related social and health inequalities in Australia: call for research funding priorities to recognise the needs of migrant populations.

Migrants constitute 26% of the total Australian population and, although disproportionately affected by chronic diseases, they are under-represented in health research. The aim of the present study was to describe trends in Australian Research Council (ARC)- and National Health and Medical Research Council (NHMRC)-funded initiatives from 2002 to 2011 with a key focus on migration-related research funding. Data on all NHMRC- and ARC-funded initiatives between 2002 and 2011 were collected from the research funding statistics and national competitive grants program data systems, respectively. The research funding expenditures within these two schemes were categorised into two major groups: (1) people focused (migrant-related and mainstream-related); and (2) basic science focused. Descriptive statistics were used to summarise the data and report the trends in NHMRC and ARC funding over the 10-year period. Over 10 years, the ARC funded 15 354 initiatives worth A$5.5 billion, with 897 (5.8%) people-focused projects funded, worth A$254.4 million. Migrant-related research constituted 7.8% of all people-focused research. The NHMRC funded 12399 initiatives worth A$5.6 billion, with 447 (3.6%) people-focused projects funded, worth A$207.2 million. Migrant-related research accounted for 6.2% of all people-focused initiatives. Although migrant groups are disproportionately affected by social and health inequalities, the findings of the present study show that migrant-related research is inadequately funded compared with mainstream-related research. Unless equitable research funding is achieved, it will be impossible to build a strong evidence base for planning effective measures to reduce these inequalities among migrants.

Investigating the potential of reported cattle mortality data in Switzerland for syndromic surveillance

Systems for the identification and registration of cattle have gradually been receiving attention for use in syndromic surveillance, a relatively recent approach for the early detection of infectious disease outbreaks. Real or near real-time monitoring of deaths or stillbirths reported to these systems offer an opportunity to detect temporal or spatial clusters of increased mortality that could be caused by an infectious disease epidemic. In Switzerland, such data are recorded in the “Tierverkehrsdatenbank” (TVD). To investigate the potential of the Swiss TVD for syndromic surveillance, 3 years of data (2009–2011) were assessed in terms of data quality, including timeliness of reporting and completeness of geographic data. Two time-series consisting of reported on-farm deaths and stillbirths were retrospectively analysed to define and quantify the temporal patterns that result from non-health related factors.Geographic data were almost always present in the TVD data; often at different spatial scales. On-farm deaths were reported to the database by farmers in a timely fashion; stillbirths were less timely. Timeliness and geographic coverage are two important features of disease surveillance systems, highlighting the suitability of the TVD for use in a syndromic surveillance system. Both time series exhibited different temporal patterns that were associated with non-health related factors. To avoid false positive signals, these patterns need to be removed from the data or accounted for in some way before applying aberration detection algorithms in real-time. Evaluating mortality data reported to systems for the identification and registration of cattle is of value for comparing national data systems and as a first step towards a European-wide early detection system for emerging and re-emerging cattle diseases.

Building and strengthening policy research capacity: key issues in Canadian higher education

Given the importance of higher education in social and economic development, governments need to build a strong higher education data and policy research infrastructure to support informed decision-making, provide policy advice, and offer a critical assessment of key trends and issues. The author discusses the decline of higher education policy research capacity in Canada and reviews the importance of strong national data systems in addressing issues of access and student mobility, and in understanding the implications of the increasing fragmentation of academic work. An international comparative study of national arrangements could illuminate useful strategies and approaches for strengthening this important policy research infrastructure.

Improving national data systems for surveillance of suicide-related events.

Describing the characteristics and patterns of suicidal behavior is an essential component in developing successful prevention efforts. The Data and Surveillance Task Force (DSTF) of the National Action Alliance for Suicide Prevention was charged with making recommendations for improving national data systems for public health surveillance of suicide-related problems, including suicidal thoughts, suicide attempts, and deaths due to suicide. Data from the national systems can be used to draw attention to the magnitude of the problem and are useful for establishing national health priorities. National data can also be used to examine differences in rates across groups (e.g., sex, racial/ethnic, and age groups) and geographic regions, and are useful in identifying patterns in the mechanism of suicide, including those that rarely occur. Using evaluation criteria from the CDC, WHO, and the U.S.A.-based Safe States Alliance, the DSTF reviewed 28 national data systems for feasibility of use in the surveillance of suicidal behavior, including deaths, nonfatal attempts, and suicidal thoughts. The review criteria included attributes such as the aspects of the suicide-related spectrum (e.g., thoughts, attempts, deaths) covered by the system; how the data are collected (e.g., census, sample, survey, administrative data files, self-report, reporting by care providers); and the strengths and limitations of the survey or data system. The DSTF identified common strengths and challenges among the data systems based on the underlying data source (e.g., death records, healthcare provider records, population-based surveys, health insurance claims). From these findings, the DSTF proposed several recommendations for improving existing data systems, such as using standard language and definitions, adding new variables to existing surveys, expanding the geographic scope of surveys to include areas where data are not currently collected, oversampling of underrepresented groups, and improving the completeness and quality of information on death certificates. Some of the DSTF recommendations are potentially achievable in the short term (<1-3 years) within existing data systems, whereas others involve more extensive changes and will require longer-term efforts (4-10 years). Implementing these recommendations would assist in the development of a national coordinated program of fatal and nonfatal suicide surveillance to facilitate evidence-based action to reduce the incidence of suicide and suicidal behavior in all populations.

Potential for Integrating Community-Based Monitoring into REDD+

Countries at the United Nations Framework on the Convention on Climate Change (UNFCCC) have decided to engage local communities and indigenous groups into the activities for the monitoring, reporting and verification (MRV) of the program to reduce emissions from deforestation and forest degradation and increase carbon removals (REDD+). Previous research and projects have shown that communities can produce reliable data on forest area and carbon estimates through field measurements. The objective of this article is to describe the framework that is being created for REDD+ under the UNFCCC to identify the potential inclusion of local information produced through community-based monitoring (CBM) into monitoring systems for REDD+. National systems could use different sources of information from CBM: first, local information can be produced as part of public programs by increasing sample size of national or regional inventories; second, government can collect information to produce carbon estimates from on-going management practices implemented at local level driven by access to local direct benefits (e.g., forest management plans, watershed conservation); third, national data systems could include information from projects participating in carbon markets and other certification schemes; and finally information will be produced as part of the activities associated to the implementation of social and environmental safeguards. Locally generated data on carbon and areas under different forms of management can be dovetailed into national systems and be used to describe management practices, complement existing information or replace Tier 1/2 values with more detailed local data produced by CBM.

Are national policies and programs for prevention and management of postpartum hemorrhage and preeclampsia adequate? A key informant survey in 37 countries.

Although maternal mortality has declined substantially in recent years, efforts to address postpartum hemorrhage (PPH) and preeclampsia/eclampsia (PE/E) must be systematically scaled up in order for further reduction to take place. In 2012, a key informant survey was conducted to identify both national and global gaps in PPH and PE/E program priorities and to highlight focus areas for future national and global programming. Between January and March 2012, national program teams in 37 countries completed a 44-item survey, consisting mostly of dichotomous yes/no responses and addressing 6 core programmatic areas: policy, training, medication distribution and logistics, national reporting of key indicators, programming, and challenges to and opportunities for scale up. An in-country focal person led the process to gather the necessary information from key local stakeholders. Some countries also provided national essential medicines lists and service delivery guidelines for comparison and further analysis. Most surveyed countries have many elements in place to address PPH and PE/E, but notable gaps remain in both policy and practice. Oxytocin and magnesium sulfate were reported to be regularly available in facilities in 89% and 76% of countries, respectively. Only 27% of countries, however, noted regular availability of misoprostol in health facilities. Midwife scope of practice regarding PPH and PE/E is inconsistent with global norms in a number of countries: 22% of countries do not allow midwives to administer magnesium sulfate and 30% do not allow them to perform manual removal of the placenta. Most countries surveyed have many of the essential policies and program elements to prevent/manage PPH and PE/E, but absence of commodities (especially misoprostol), limitations in scope of practice for midwives, and gaps in inclusion of maternal health indicators in the national data systems have impeded efforts to scale up programs nationally.

Hospital cause-of-death statistics: what should we make of them?

is the preferred standard for generating cause-of-death statistics. Most deaths whose cause is certified occur in hospitals. Although not all hospitals have the same diagnos -tic tools, it seems reasonable to expect hospital-based certifying physicians to correctly identify patients’ underlying causes of death, since hospitals usually have established clinical protocols for monitoring disease progression. After all, if physicians in hospitals cannot correctly ascertain their patients’ cause of death, who can?Cause-of-death statistics from hospitals are routinely amalgamated – along with mortality statistics from other sources – to constitute the es-sential statistics on the health of a population. Such statistics are widely used by governments, researchers, do-nors and global development agencies, often uncritically, on the assumption that they reliably capture a country’s epidemiological profile. They are used to periodically review health priorities, set research agendas and monitor progress towards national and global health and development goals. We take for granted that such data are correct. But are they?That the answer is a resounding no is only a part of the problem. More wor -rying perhaps is the fact that custodians of national mortality data systems fail to grasp the importance of periodically assessing the accuracy of hospital cause-of-death data. Physicians in hospitals may lack the time, incentives, diagnostic facilities or training to correctly certify causes of death and seldom understand that their diagnoses guide national health priorities. Medical records’ de-partments, which code death certificates and compile the data into cause-of-death tables by age and sex, are often understaffed, lack rigorous statistical protocols for checking data quality, and may not appreciate the epidemiological and statistical importance of their work. Thus, hospital cause-of-death data, even from advanced tertiary hospitals, can be expected to contain errors. But how common are these errors and are they serious enough to make the data unsuitable for informing public policy and research?Remarkably, the quality of hospital-based mortality data has seldom been investigated. In a recent review, Ram-patige et al.

S03.5 Advancing Sexual Health in the US: from Theory to Action

BackgroundThe United States faces a variety of public health issues related to sexual behaviour including HIV, STD, unintended pregnancy, and sexual violence. A 2010 CDC consultation on A Public Health...

Methodological challenges in international performance measurement using patient-level administrative data

Aim and methodsWe conducted this case study in order to test how health system performance could be compared using the existing national administrative health databases containing individual data. In this comparative analysis we used national data set from three countries, Estonia, Israel and Finland to follow the medical history, treatment outcome and resource use of patients with a chronic disease (diabetes) for 8 years after medical treatment was initiated. ResultsThis study showed that several clinically important aspects of quality of care as well as health policy issues of cost-effectiveness and efficiency of health systems can be assessed by using the national administrative health data systems, in case those collecting person-level health service data. We developed a structured study protocol and detailed data specifications to generate standardized data sets, in each country, for long-term follow up of incident cohort of diabetic persons as well as shared analyzing programs to produce performance measures from the standardized data sets. This stepwise decentralized approach and use of anonymous person-level data allowed us to mitigate any legal, ownership, confidentiality and privacy concerns and to create internationally comparative data with the extent of detail that is seldom seen before. For example, our preliminary performance comparisons indicate that higher mortality among relatively young diabetes patients in Estonia may be related to considerably higher rates of cardiovascular complications and lower use of statins. ConclusionsModern administrative person-level health service databases contain sufficiently rich data in details to assess the performance of health systems in the management of chronic diseases. This paper presents and discusses the methodological challenges and the way the problems were solved or avoided to enhance the representativeness and comparability of results.

COPD Surveillance—United States, 1999-2011

This report updates surveillance results for COPD in the United States. For 1999 to 2011, data from national data systems for adults aged ≥ 25 years were analyzed. In 2011, 6.5% of adults (approximately 13.7 million) reported having been diagnosed with COPD. From 1999 to 2011, the overall age-adjusted prevalence of having been diagnosed with COPD declined (P = .019). In 2010, there were 10.3 million (494.8 per 10,000) physician office visits, 1.5 million (72.0 per 10,000) ED visits, and 699,000 (32.2 per 10,000) hospital discharges for COPD. From 1999 to 2010, no significant overall trends were noted for physician office visits and ED visits; however, the age-adjusted hospital discharge rate for COPD declined significantly (P = .001). In 2010 there were 312,654 (11.2 per 1,000) Medicare hospital discharge claims submitted for COPD. Medicare claims (1999-2010) declined overall (P = .045), among men (P = .022) and among enrollees aged 65 to 74 years (P = .033). There were 133,575 deaths (63.1 per 100,000) from COPD in 2010. The overall age-adjusted death rate for COPD did not change during 1999 to 2010 (P = .163). Death rates (1999-2010) increased among adults aged 45 to 54 years (P < .001) and among American Indian/Alaska Natives (P = .008) but declined among those aged 55 to 64 years (P = .002) and 65 to 74 years (P < .001), Hispanics (P = .038), Asian/Pacific Islanders (P < .001), and men (P = .001). Geographic clustering of prevalence, Medicare hospitalizations, and deaths were observed. Declines in the age-adjusted prevalence, death rate in men, and hospitalizations for COPD since 1999 suggest progress in the prevention of COPD in the United States.

Immigrant health inequalities in the United States: use of eight major national data systems.

Eight major federal data systems, including the National Vital Statistics System (NVSS), National Health Interview Survey (NHIS), National Survey of Children's Health, National Longitudinal Mortality Study, and American Community Survey, were used to examine health differentials between immigrants and the US-born across the life course. Survival and logistic regression, prevalence, and age-adjusted death rates were used to examine differentials. Although these data systems vary considerably in their coverage of health and behavioral characteristics, ethnic-immigrant groups, and time periods, they all serve as important research databases for understanding the health of US immigrants. The NVSS and NHIS, the two most important data systems, include a wide range of health variables and many racial/ethnic and immigrant groups. Immigrants live 3.4 years longer than the US-born, with a life expectancy ranging from 83.0 years for Asian/Pacific Islander immigrants to 69.2 years for US-born blacks. Overall, immigrants have better infant, child, and adult health and lower disability and mortality rates than the US-born, with immigrant health patterns varying across racial/ethnic groups. Immigrant children and adults, however, fare substantially worse than the US-born in health insurance coverage and access to preventive health services. Suggestions and new directions are offered for improvements in health monitoring and for strengthening and developing databases for immigrant health assessment in the USA.

EVALUATING ROAD SAFETY INTERVENTIONS: LESSONS LEARNT FROM THE FIRST 2 YEARS OF A MULTI-COUNTRY APPROACH

This workshop focuses on the global road safety interventions project in 10 countries supported by the Bloomberg Philanthropies. Key to the initiative is the demonstration that established interventions on road...

The Canadian Index of Wellbeing: Key Findings From the Healthy Populations Domain

The Canadian Index of Wellbeing (CIW) is an ambitious undertaking that aims to measure and track Canadians' overall "wellbeing". The Healthy Populations, one of eight CIW domains, brings together both population health outcomes and important influences on health. Indicators from eight subdomains (personal wellbeing, life expectancy/mortality, physical health conditions, functional health, mental health, lifestyle and behaviour, health care, and public health) make up the Healthy Populations domain. Following a review of worldwide literature on health and wellbeing indicators, application of a prespecified set of selection criteria, and expert external validation, ten core indicators and six secondary indicators were selected. The data sources include several national population data systems (CCHS, NPHS) and databases kept at the Canadian Institute for Health Information. Indicators were examined for trends over time, and were stratified by age, sex, income and education. A single summary measure, health domain index, was calculated and reported annually from 1994 to 2008. Analysis of data over a 15-year time period found that Canadians are living longer, but with fewer years in optimal health. Diabetes rates have risen, along with obesity rates, while smoking rates are on the decline and regular physical activity is becoming more common. There were notable income and education gradients for virtually all indicators measured, and gender disparities evident for life expectancy, health-adjusted life expectancy, diabetes, and depression. A worrisome downward trend in health outcomes for Canada's youth (12-19 years) was observed. The overall health index score showed a modest rise of 6.6% from 1994 to 2008. The Healthy Populations domain, and its ongoing use and refinement, can be an important resource for understanding and monitoring the health of Canadians. Knowledge about the status of Canadians' wellbeing will benefit from the contextualization of these findings through evidence generated from the other CIW domains.