Informed Alaskans Initiative: Public Health Data in Alaska

This article describes the national and state public health data made available online through the Alaska Division of Public Health's Informed Alaskans Initiative.[Introduction] / AK-IBIS / Health Indicators / Indicator Reports / Interactive Health Maps / Help for Website Users / What’s Next / Conclusion / [SIDEBAR:] Public Health Data Resource

Design of an indicator for health and safety governance

Occupational Health and Safety Governance (OHSG) is a branch of Corporate Governance by which the board directs and controls labor risks created by their own enterprise. The OHSG concept is relatively new; unlike Occupational Health and Safety Management, which is mostly related to the work of managerial ranks, OHSG deals with principles, the interests of stakeholders, and the work of directors. The paper defines the new concept, OHSG, develops an original health and safety indicator, and presents possible applications for it; as far as we are aware of, the indicator is the first proactive tool in existence to measure OHS governance. Our work is part of an ongoing research project aimed at improving health and safety standards in industry. The indicator takes into account—in its structure—the evaluation style of National Quality Awards, as a pattern to measure, by assigning points, a great number of variables. OHS Governance variables included in the indicator are grouped into areas, themes, dimensions and elements, in order to make them operative and measurable. Measurement is performed by means of a questionnaire, reproduced as an appendix. Maximum scores for each question are assigned following multiple attribute decision theory. The article concludes with reflections on the measurement problem in the social sciences and final thoughts on the characteristics of the proposed indicator.Corporate governance, health and safety governance, measurement, measurement of health and safety, health and safety governance indicator.

A comparison of green space indicators for epidemiological research

<p><b>Background</b> The potential for natural environments to be salutogenic has received growing interest from epidemiologists, but there has been no critical examination of the extent to which associations between green space and health might vary according to the indicator of green space coverage used.</p> <p><b>Methods</b> Three different indicators of green space coverage were derived for a set of 268 small areas in four cities within Britain. The indicators had different origins and provided a spectrum of sensitivity from larger spaces only, through to ambient greenery. Two indicators reproducible for anywhere in Europe were included. Agreement between the indicators on the quantity of green space in a small area, and their independent association with measures of mortality and self-reported morbidity, were compared.</p> <p><b>Results</b> Overall, the indicators showed relatively close overall agreement (all r2>0.89, p<0.001). However, agreement varied by level of area socioeconomic deprivation (p<0.001). The indicator that detected larger spaces only found less green space in areas of socioeconomic deprivation than the other two. Despite this difference, all indicators showed similar protective associations with the risk of mortality and self-reported morbidity suggesting that larger green spaces may be more important for health effects than smaller spaces.</p> <p><b>Conclusions</b> Associations between green space indicator and health were not sensitive to indicator origin and type. This raises the possibility of trans-European epidemiological studies. Larger green spaces may be the most important for health effects, but may also be less prevalent in more deprived areas.</p&gt

Well-Being and Work

Well-being, health and safety at work and work-related health problems have been attracting growing public attention in Austria in recent years. An indicator for this rise in interest is the implementation of the Austrian Occupational Health Monitor by the Upper Austrian Chamber of Labour. The survey tries to analyse the links between working conditions and the health status of employees on the basis of very rich data. Some of the most interesting results are presented in this report

Pilot study into milk haptoglobin as an indicator of udder health in heifers after calving

Mastitis, inflammation of the mammary gland, is often caused by intramammary infection with bacterial organisms. It impacts on dairy cattle welfare, production, udder health and longevity in the herd. Current detection methods for mammary inflammation and infection all have limitations, particularly for on-farm diagnosis of non-clinical mastitis after calving. Acute phase proteins have been suggested as alternative early indicators of the disease and can potentially be used as cow-side test with results in real time. In this study, milk haptoglobin concentrations were investigated over the first week postpartum to explore haptoglobin's potential as indicator of udder health in dairy heifers. Haptoglobin concentration was highest on day 3 of lactation, and was positively correlated with somatic cell count, a commonly used marker of inflammation (rs=0.68). Haptoglobin level was also associated with bacteriological culture results, a key indicator of infection status, whereby median haptoglobin concentration on days 3 and 5 was higher in quarters that were infected at calving than quarters that were non infected at calving. Sensitivity and specificity of haptoglobin concentration as indicator of infection were low, both for lenient and strict culture-based definitions of intramammary infection (57 or 60% and 61 or 63%, respectively). Although haptoglobin was a poor biomarker for intramammary infection with coagulase negative staphylococci in heifers during the first week after calving, it may have value as an indicator of major pathogen infections, particularly in large scale dairy herds where pre-partum heifers are managed off-site

A critical cluster analysis of 44 indicators of author-level performance

This paper explores the relationship between author-level bibliometric indicators and the researchers the "measure", exemplified across five academic seniorities and four disciplines. Using cluster methodology, the disciplinary and seniority appropriateness of author-level indicators is examined. Publication and citation data for 741 researchers across Astronomy, Environmental Science, Philosophy and Public Health was collected in Web of Science (WoS). Forty-four indicators of individual performance were computed using the data. A two-step cluster analysis using IBM SPSS version 22 was performed, followed by a risk analysis and ordinal logistic regression to explore cluster membership. Indicator scores were contextualized using the individual researcher's curriculum vitae. Four different clusters based on indicator scores ranked researchers as low, middle, high and extremely high performers. The results show that different indicators were appropriate in demarcating ranked performance in different disciplines. In Astronomy the h2 indicator, sum pp top prop in Environmental Science, Q2 in Philosophy and e-index in Public Health. The regression and odds analysis showed individual level indicator scores were primarily dependent on the number of years since the researcher's first publication registered in WoS, number of publications and number of citations. Seniority classification was secondary therefore no seniority appropriate indicators were confidently identified. Cluster methodology proved useful in identifying disciplinary appropriate indicators providing the preliminary data preparation was thorough but needed to be supplemented by other analyses to validate the results. A general disconnection between the performance of the researcher on their curriculum vitae and the performance of the researcher based on bibliometric indicators was observed.Comment: 28 pages, 7 tables, 2 figures, 2 appendice

Social heterogeneity in self-reported health status and measurement of inequalities in health

This study aims to analyse the impact of the measurement of health status on socioeconomic inequalities in health. A MIMIC model with structural equations is used to create a latent variable of health status from four health indicators: self-assessed health, report of chronic diseases, report of activity limitations and mental health. Then, we disentangle the impact of sociodemographic characteristics on latent health from their direct impact on each heath indicator and discuss their effects on the assessment of socioeconomic inequalities in health. This study emphasises differences in inequalities in health according to latent health. In addition, it suggests the existence of reporting heterogeneity biases. For a given latent health status, women and old people are more likely to report chronic diseases. Mental health problems are over-reported by women and isolated people and under-reported by the oldest people. Active and retired people as well as non manual workers in the top of the social hierarchy more often report activity limitations. Finally, highly educated and socially advantaged people more often report chronic diseases whereas less educated people under-report a poor self-assessed health. To conclude, the four health indicators suffer from reporting heterogeneity biases and the report of chronic diseases is the indicator which biases the most the measurement of socioeconomic inequalities in health.inequalities in health - MIMIC - reporting bias - structural equations

Global Burden of Disease and Economic Growth

Relationships between health and economic prosperity or economic growth are difficult to assess. The direction of the causality is often questioned and the subject of a vigorous debate. For some authors, diseases or poor health had contributed to poor growth performances especially in low-income countries. For other authors, the effect of health on growth is relatively small, even if one considers that investments which could improve health should be done. It is argued in this paper that commonly used health indicators in macroeconomic studies (e. g. life expectancy, infant mortality or prevalence rates for specific diseases such as malaria or HIV/AIDS) imperfectly represent the global health status of population. Health is rather a complex notion and includes several dimensions which concern fatal (deaths) and non-fatal issues (prevalence and severity of cases) of illness. The reported effects of health on economic growth vary accordingly with health indicators and countries included in the analyses. The purpose of the paper is to assess the effect of a global health indicator on growth, the so-called disability-adjusted life year (DALY) that was proposed by the World Bank and the WHO in 1993. Growth convergence equations are run on 159 countries over the 1999-2004's period, where the potential endogeneity of the health indicator is dealt for. The negative effect of poor health on economic growth is not rejected thus reinforcing the importance of achieving MDGs.Disease Global Burden;DALYs;economic growth;macroeconomic health impact;cross-country analysis

Laboratory data as a quality indicator of health-care-associated infections in England.

Routine diagnostic laboratory results, e.g. numbers of meticillin-resistant Staphylococcus aureus (MRSA) bacteraemias, have been used as health-care-associated infection quality indicators for decades. The English health-care-associated infection quality indicator system was one of the earliest in the world to mandate the collection and public reporting of such data and has been associated with a reduction of MRSA bacteraemias and Clostridium difficile infections but has shown mixed results for other infections. Diagnostic laboratory data vary greatly between hospitals depending not only on the underlying frequency of the infection of interest, but on the case mix, numbers of samples processed and laboratory factors, which limits benchmarking. Further, over-reliance on laboratory reports has led to unintended negative consequences in England. So, while acknowledging the successes of the English system, the authors believe that it should be appraised in light of the goals of quality of care, patient safety, fairness and providing meaningful data, and alternative healthcare-associated infection quality indicator measurements considered