Suboptimal Intake of Fruits and Vegetables in Nine Selected Countries of the World Health Organization European Region

The objective of this study was to characterize fruit and vegetable consumption in 9 selected countries of the World Health Organization (WHO) European Region. We analyzed data on fruit and vegetable intake and participant sociodemographic characteristics for 30,455 adults in 9 Eastern European and Central Asian countries via standardized STEPS survey methodology. Fruit and vegetable consumption across all countries was suboptimal, with a high percentage of populations not meeting the WHO-recommended intake of at least 5 servings (400 g) per day. Strengthened implementation of evidence-based policies to increase intake of fruit and vegetables is needed to reduce the burden of and disparities in NCDs.

A comparison of self-reported to cotinine-detected smoking status among adults in Georgia

BACKGROUND

Self-reported measures of tobacco use may have limited validity, particularly among some populations. This study aims to validate self-reported smoking measures among Georgian adults participating in the 2016 STEPS survey using cotinine biomarker measurements, and to explore potential differences according to sociodemographic characteristics. Additionally, this paper examines how the estimated prevalence of smoking in the population varies according to measurement type.

METHODS

Using the WHO standardized STEPS methodology, adults self-reported their smoking status. In a later stage of the survey, a subset of participants provided a urine sample, which was tested for cotinine. Using each participant's objective cotinine measurement and their self-reported smoking status, we calculated the sensitivity, specificity and positive predictive value of self-reported smoking. Next, we calculated the estimated prevalence of smokers according to the type of measurement.

RESULTS

Results indicated high sensitivity (83.37%, 95% CI: 76.79-88.37%) among males and relatively low sensitivity (38.60% CI: 29.23-48.90%) among females. According to self-report, the prevalence of smokers was 26.44% (23.61-29.48%), while according to cotinine detection, the prevalence of smokers was 32.27% (29.16-35.55%). Among all subgroups, the self-reported prevalence of smoking was significantly lower than the cotinine-detected prevalence.

CONCLUSIONS

To the best of our knowledge, this is the first time that the validity of the STEPS self-reported tobacco indicator has been tested. Self-reported measures of smoking status may lead to an under-estimation of smoking prevalence among Georgian adults, especially women. These findings suggest that integration of biochemical measures of smoking into tobacco use studies may be an important investment.

Revising the WHO verbal autopsy instrument to facilitate routine cause-of-death monitoring

Objective

Verbal autopsy (VA) is a systematic approach for determining causes of death (CoD) in populations without routine medical certification. It has mainly been used in research contexts and involved relatively lengthy interviews. Our objective here is to describe the process used to shorten, simplify, and standardise the VA process to make it feasible for application on a larger scale such as in routine civil registration and vital statistics (CRVS) systems.

Methods

A literature review of existing VA instruments was undertaken. The World Health Organization (WHO) then facilitated an international consultation process to review experiences with existing VA instruments, including those from WHO, the Demographic Evaluation of Populations and their Health in Developing Countries (INDEPTH) Network, InterVA, and the Population Health Metrics Research Consortium (PHMRC). In an expert meeting, consideration was given to formulating a workable VA CoD list [with mapping to the International Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) CoD] and to the viability and utility of existing VA interview questions, with a view to undertaking systematic simplification.

Findings

A revised VA CoD list was compiled enabling mapping of all ICD-10 CoD onto 62 VA cause categories, chosen on the grounds of public health significance as well as potential for ascertainment from VA. A set of 221 indicators for inclusion in the revised VA instrument was developed on the basis of accumulated experience, with appropriate skip patterns for various population sub-groups. The duration of a VA interview was reduced by about 40% with this new approach.

Conclusions

The revised VA instrument resulting from this consultation process is presented here as a means of making it available for widespread use and evaluation. It is envisaged that this will be used in conjunction with automated models for assigning CoD from VA data, rather than involving physicians.

Program for validation of aggregated hospital discharge data

Hospitals are major providers of health services and analysis of hospital activity data is of great interest for both policy makers and public health researchers. The WHO Regional Office for Europe disseminates the hospital discharge data from European countries through the European Hospital Morbidity Database, available on http://data.euro.who.int/hmdb. In order to ensure that reliable high quality data on hospital activities can be published in a timely manner, a program for validation of hospital discharge data has been developed using the R language for statistical computing. This program has been in use since the October 2012 version of the European Hospital Morbidity Database and its use has contributed to improved quality and comparability of data on hospital activities across Europe.

[Methods for measuring inequalities in health]

Measuring health inequalities is indispensable for progress in improving the health situation in the Region of the Americas, where the analysis of average values is no longer sufficient. Analyzing health inequalities is a fundamental tool for action that seeks greater equity in health. There are various measurement methods, with differing levels of complexity, and choosing one rather than another depends on the objective of the study. The purpose of this article is to familiarize health professionals and decision-making institutions with methodological aspects of the measurement and simple analysis of health inequalities, utilizing basic data that are regularly reported by geopolitical unit. The calculation method and the advantages and disadvantages of the following indicators are presented: the rate ratio and the rate difference, the effect index, the population attributable risk, the index of dissimilarity, the slope index of inequality and the relative index of inequality, the Gini coefficient, and the concentration index. The methods presented are applicable to measuring various types of inequalities and at different levels of analysis.

[Geographic information systems as a tool for monitoring health inequalities]

OBJECTIVE

To show how geographic information systems (GISs) can be used as technological tools to support health policy and public health actions.

METHODS

We assessed the relationship between infant mortality and a number of socio-economic and geographic determinants. In explaining how GISs are applied, we stressed their ability to integrate data, which makes it possible to perform epidemiologic evaluations in a simpler, faster, automated way that simultaneously analyzes multiple variables with different levels of aggregation. In this study, GISs were applied in analyzing infant mortality data with three levels of aggregation in countries of the Americas from 1995 to 2000.

RESULTS

Infant mortality in the Region of the Americas was estimated at an overall average of 24.4 deaths per 1,000 live births. However, the inequalities that were found indicate that the probability of an infant death is almost 20 times greater in the less developed countries of the Region than in more developed ones. Mapping infant mortality throughout the Region of the Americas allowed us to identify the countries that need to focus more attention on health policy and health programs, but not to determine what specific actions are of the highest priority. An analysis of smaller geopolitical units (states and municipalities) revealed important differences within countries. This shows that, as is true of data for the entire Region of the Americas, using national-level average figures for indicators can obscure the differences that exist within countries. When we examined the relationship between female illiteracy and malnutrition as determinants of infant mortality in Brazil and Ecuador, we identified social and epidemiologic strata where risk factors had different distribution patterns and that thus require health interventions that match their individual social and epidemiologic profiles.

CONCLUSIONS

With this type of epidemiologic study using GISs at the local level of health services, it is easy to see how a health event and its risk factors behave at a specific period in time. It is also possible to identify patterns in the spatial distribution of risk factors and in these factors' potential impact on health. Using GISs in an appropriate way will make it easier to deliver more effective, equitable public health services.

[Indices based on entropy for measuring social inequalities in health]

As described in the scientific literature, indices used to measure social inequalities in health have positive features, but they also have shortcomings, depending on how they are applied. The objective of this article is to put forward and to demonstrate, in both theoretical and practical terms, the advantages of measurements of inequality based on the notion of entropy, which is well known in physics and in information theory. The article defines and presents the main properties of indices based on the notions of entropy and redundancy. The application of the indices is illustrated with two fictitious data sets and also with real data derived from basic health indicators for the Americas, from the Pan American Health Organization. Indices based on the notion of entropy have properties that include: a) not varying with scale changes, b) being symmetrical, c) incorporating a socioeconomic dimension, and d) being easy to interpret thanks to the condition of equivalence between entropy and a system with two categories.

Overview of social inequalities in health in the region of the Americas, using various methodological approaches

Over the past decade, according to several important indicators, health conditions have improved in the Region of the Americas. However, inequalities persist among the countries of the Region. This article has two primary objectives: 1) to provide some unbiased evidence on health inequalities among countries of the Region of the Americas and 2) to illustrate the application of some of the more frequently used methods for measuring inequalities, including effect measurements, population attributable risk, the slope index of inequality, the relative index of inequality, and the concentration index. Analyses have shown that there are great health disparities in the Region of the Americas. For example, residents of the poorest countries of the Region live nearly 10 years less, on average, than do residents of the richest countries. If the other countries of the Americas had the same incidence of tuberculosis as does the subregion of North America (Bermuda, Canada, and the United States of America), there would be 76% fewer cases of this disease in the Region. In the Americas, nearly 35% of deaths of infants under 1 year old are concentrated in the 20% of live births that occur in the group with the lowest income. As for maternal mortality in the Americas, fewer than 2% of maternal deaths occur in association with the 20% of live births in the group with the highest income. The analyses of health inequalities based on the use of various methods highlight the existence of important disparities among subregions and countries of the Americas that are not readily seen when using only the more-traditional methods for analyzing mortality and morbidity. There is also a need to incorporate the concepts of distribution and socioeconomic dimensions of health when interpreting a given situation. Using this approach will allow decisionmakers to target areas and populations that are in less-favorable conditions. A considerable body of aggregate data at the Regional and country levels from routine information systems is already available--especially on morbidity, mortality, and other health-related factors--that can be used on a regular basis to analyze health inequalities. These kinds of analyses may be regarded as a first step toward the identification of health inequities.

A subregional assessment of demographic and health trends in the Americas: 1980-1998

Close to 14 percent of the world's population lives in the Americas and the total population of this area is expected to reach 823,225,000 by the year 2000. Periodic assessments of the health situation and trends in conditions throughout subregions of the Americas have been undertaken by the Pan American Health Organization (PAHO) since the mid-1950s. These assessments demonstrate and underscore some major disparities in social, health and economic conditions in the various countries within the region. Analysis of some 38 demographic, socioeconomic, vital statistics and resource availability indicators show encouraging health and social progress between 1980 and 1998. Data concerning the health situation and trends in eight subregions of the Americas show a demographic reshape and an overall improvement in a variety of health indicators over this period. Important changes occurred in the epidemiological profile of the populations, shifting from a mainly communicable disease profile to one in which chronic diseases also affect a major portion of the population. This double health burden is unique in the region of the Americas. Improvements in social as well as health indicators were evidenced throughout the various subregions but at differing levels and at varying rates. Marked changes in total fertility, infant mortality, life expectancy and morbidity rates characterized the period between 1980 and 1998. The discrepancies between countries are highlighted and areas in need of further improvement outlined.

Quality evaluation of 10 years patient records in forensic odontology

In forensic odontology, accurate detailed and complete recording of ante-mortem information is essential as the basis for odontological identification. Earlier studies on malpractice cases in Sweden indicated that the quality of the recording procedure was not always acceptable. Therefore, the aim of this retrospective study was to investigate the quality of ante-mortem records and its possible implications for identification work. All forensic odontology cases referred to the Department of Forensic Medicine in Göteborg between 1983 and 1992 were studied with regard to the instructions for dental records from the National Board of Health and Welfare. Information on dental characteristics, normal anatomical findings and restorative treatment was complete in 43 (68%) of the cases, incomplete in 17 (27%) and missing in 3 (5%). Registration of previous therapy was missing in about 75 (94%) of the records. It was possible to identify patient radiographs in only 16 of the 40 records where radiographs were available. In spite of this, the inaccuracies in the records did not seem to hamper the identification procedures in this study which could be explained by the character of the cases and the availability of medical and circumstantial information.