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We compare two approaches to measuring inequity in the health distribution. The first is the concentration index. The second is the calculation of the inequality in an overall measure of individual well-being, capturing both the income and health dimensions. We introduce the concept of equivalent income as a measure of well-being that respects preferences with respect to the trade-off between income and health, but is not subjectively welfarist since it does not rely on the direct measurement of happiness. Using data from a representative survey in France, we show that equivalent incomes can be measured using a contingent valuation method. We present counterfactual simulations to illustrate the different perspectives of the approaches with respect to distributive justice.

We use Cross-National Equivalent File (CNEF) data from the United States and Great Britain to investigate the association between adults’ health and the income inequality they experienced as children up to 80 years earlier. Our inequality data track shares of national income held by top income percentiles from the early 20th century. We average those data over the same early-life years and merge them to CNEF data from both countries that measure self-reported health of individuals between 1991 and 2007. Observationally, adult men and women in the United States and Great Britain less often report being in better health if inequality was higher in their first five years of life. Although the trend in inequality is similar in both countries over the past century, the empirical association between health and inequality in the United States differs substantially from the estimated relationship in Great Britain. When we control for demographic characteristics, measures of permanent income, and early-life socio-economic status, the health–inequality association remains robust only in the U.S. sample. For the British sample, the added controls drive the coefficient on inequality toward zero and statistical insignificance.

This study tests the first two tenets of the fundamental causes theory – that socioeconomic status influences a variety of risk factors for poor health and that it affects multiple health outcomes – by examining the associations between adverse socioeconomic circumstances and five measures of health.

We employ bivariate and logistic regression analyses of data from the Centers Disease Control and Prevention 2011 Behavioral Risk Factor Surveillance Survey (BRFSS) to test the individual and cumulative associations between three measures of socioeconomic position and five measures of health risk factors and outcomes.

The analysis demonstrates support for the fundamental causes theory, indicating that measures of adverse socioeconomic conditions have independent and cumulative associations with multiple health outcomes and risk factors among U.S. adults aged 18–64.

The findings of this chapter are generalizable to adults aged 18–64 living in the United States and may not apply to individuals living outside the United States, older Americans, and children.

Adverse socioeconomic circumstances are not only associated with self-rated health but are also associated with the two leading causes of death in the United States (cancer and heart disease) and risk factors that contribute to these causes of death (smoking and high blood pressure). Improving access to socioeconomic resources is critical to reducing health disparities in leading causes of death and health risk factors in the United States.

A bewildering variety of performance measures and indicators in health management is evident in the literature and in practice. Reviews measures useful for health management performance accountability, and expands on the traditional notion of health performance measures to incorporate nominal and ordinal measures. The research is performed in the interest of stimulating discussion in the public domain and with the intent of expanding current notions of the term “performance indicator”. Develops a comprehensive framework from measurement and accountability theory, and the medical management, accounting and accountability literatures are reviewed. Highlights the importance of using non‐ratio measures to capture outcomes, structure and processes influenced by management; and suggests that disclosures which include measures from all elements of the framework would most closely account for management activity.

Much of the theoretical literature on inequality assumes that the equalisand is a cardinal variable like income or wealth. However, health status is generally measured as a categorical variable expressing a qualitative order. Traditional solutions involve reclassifying the variable by means of qualitative models and relying on inequality measures that are mean independent. We argue that the way status is conceptualised has important theoretical implications for measurement as well as for policy analysis. We also bring to the data a recently proposed approach to measuring self-reported health inequality that meets both rigorous and practical considerations. We draw upon the World Health Survey data to examine alternative pragmatic methods for making health-inequality comparisons. Findings suggest significant differences in health-inequality measurement and that regional and country patterns of inequality orderings do not coincide with any reasonable categorisation of countries by health system organisation.

The purpose of this study is to systematically review how positive mental health literacy has been conceptualised and measured over the last 20 years. Positive mental health recognises the benefits of feeling good and functioning effectively. Developing clarity around conceptualisation and knowledge (or literacy) of what constitutes positive mental health is an area of continued development, and an important step in measuring the impact of mental health promotion.

A systematic review of literature was performed to investigate how positive mental health literacy has been conceptualised and measured over the last 20 years. Databases searched included EDS, Scopus, ERIC, PsycINFO, CINAHL and SocIndex with fulltext. Search terms relating to positive mental health were combined with proximity operators within four words denoting knowledge, competence or literacy.

A total of 464 records were assessed on title level, with six articles included for final review. The final studies included three measures assessing participants’ knowledge of positive mental health, some of which included more distal themes such as awareness of coping strategies and emotional awareness. One measure, the Mental Health Promoting Knowledge – 10, stood out as the most fitting measure of positive mental health literacy.

Our review approaches an under reported area of study, highlighting an area in need for further development with a few limitations. When building the search strategy, care was taken to line it up with literacy around positive mental health and its synonyms. The word “mental health” without positive specification was omitted in the final search strategy, increasing the risk of it also omitting potential articles of interest.

Our findings therefore highlight a knowledge gap in relation to conceptualisations and measures of positive mental health literacy, unfolding an area for further development. A more harmonised understanding of what is meant by positive mental health is an important step towards clarifying the concept and facilitating future study of the topic. Measures of positive mental health literacy could be an important indicator for mental health promotion.

New ways of measuring positive mental health literacy can be a useful way to establish benefits of mental health promotion, taking a salutogenic approach to mental health.

These findings expose an apparent knowledge gap in relation to conceptualisations and measures of positive mental health literacy, highlighting an area in need for further development. Measures of positive mental health literacy could be an important indicator for mental health promotion.

Since its introduction in 1992, the balanced scorecard (BSC) has rapidly gained in importance throughout the world. Harvard Business Review even selected it as one of the most important management tools of the past 75 years. This paper takes the performance indicators used in an offshore health‐and‐safety benchmarking study carried out by Aberdeen University on 13 offshore installations operating on the UK Continental Shelf and relates them to the BSC framework. The results from the benchmarking study are discussed from the perspective of suggesting which indicators should populate each perspective of the BSC: financial, customer, internal business and learning and growth. In addition the paper includes the results of interviews conducted with senior managers in the UK and Norwegian oil and gas sector, about use of the BSC in general and with regard to health and safety performance indicators in particular. Reasons for including occupational health and safety in the BSC and reports/papers covering occupational health and safety indicators and the BSC are discussed.

The measurement of children's quality of life has an important role to play in improving their experience of health and social services, and in promoting a child‐centred approach to service provision. This article provides a rationale for both the development of robust quality of life measures specifically for children and also the use of these measures in assessing the effectiveness of treatments and policy changes. It highlights recent advances in the development of quality of life measures and provides examples of two instruments that have incorporated these steps to produce reliable and valid measures that are not only comprehensible to children of different age groups, but also meaningful to parents and health professionals. The challenge of matching statistically significant change in quality of life to changes of perceived importance to the individual is also discussed in the light of the advantages to be gained from the increased uptake within health and social care of quality of life measures for children.

For nearly two decades, researchers across the disciplines of social science and medicine have grappled with how to conceptualize and measure race to better explain racial inequality. Improvements have been made, but most scholars continue to assume that a “correct” measure of race exists or that different estimates between measures are essentially quantitative errors. However, obtaining different estimates from different measures of race might instead suggest that there are substantively different explanations for the disparities. I explore this possibility by revisiting conventional findings about racial differences in reported health screenings using data from the 1988 National Survey of Family Growth, which includes both the respondent's self-identification and how she was classified by the survey interviewer. Regression results indicate that differences in interviewer-classified race are more closely related to disparities in health screenings than self-identification; these findings complement recent research on the role of racial discrimination and implicit prejudice in clinical encounters and highlight the importance of using multiple measures of race in health care research.

This paper empirically examines the inequalities related to social class and income using individual self‐reported health status data. Health inequalities are estimated by different indexes using individual standardised and unstandardised health status data. The population was divided into income and social class, respectively. From this two main results are obtatined: inequalities are sensitive to the health status variable and the social position variable employed. It was found that significant health related social class inequalities were insignificant when income was employed as a reference variable.