Andy Sloggett

Health inequalities in the older population: the role of personal capital, social resources and socio-economic circumstances

Older people now constitute the majority of those with health problems in developed countries so an understanding of health variations in later life is increasingly important. In this paper, we use data from three rounds of the Health Survey for England, a large nationally representative sample, to analyse variations in the health of adults aged 65-84 by indicators of attributes acquired in childhood and young adulthood, termed personal capital; and by current social resources and current socio-economic circumstances, while controlling for smoking behaviour and age. We used six indicators of health status in the analysis, four based on self-reports and two based on nurse collected data, which we hypothesised would identify different dimensions of health. Results showed that socio-economic indicators, particularly receipt of income support (a marker of poverty) were most consistently associated with raised odds of poor health outcomes. Associations between marital status and health were in some cases not in the expected direction. This may reflect bias arising from exclusion of the institutional population (although among those under 85 the proportion in institutions is very low) but merits further investigation, especially as the marital status composition of the older population is changing. Analysis of deviance showed that social resources (marital status and social support) had the greatest effect on the indicator of psychological health (GHQ) and also contributed significantly to variation in self-rated health, but among women not to variation in taking three or more medicines and among men not to self-reported long-standing illnesses. Smoking, in contrast, was much more strongly associated with these indicators than with self-rated health. These results are consistent with the view that self-rated health may provide a holistic indicator of health in the sense of well-being, whereas measures such as taking prescribed medications may be more indicative of specific morbidities. The results emphasise again the need to consider both socio-economic and socio-psychological influences on later life health.

Mortality among appropriately referred patients refused admission to intensive-care units

BACKGROUND The provision of intensive care is a perplexing issue for clinicians and the public. Concerns about the apparent lack of beds and the appropriateness of the patients admitted are tempered by the high cost of providing this service. As part of a study commissioned by the UK Department of Health, we tested the hypothesis that there is excess mortality among patients who are refused admission to intensive-care units. METHODS All referrals to six intensive-care units with different numbers of beds were monitored during a 3-month period. Data on mortality 90 days after first referral were obtained from family physicians for all patients known to be alive at hospital discharge. We adjusted, where possible, for confounding, including for age, sex, appropriateness of referral, disease severity, surgery and emergency categories, and bed provision. We did multivariate analysis by multiple logistic regression to compare the adjusted 90-day mortality rates for patients who were refused admission and for those admitted. FINDINGS 480 patients were admitted and 165 were refused admission. 90 days after referral there had been 178 (37%) deaths among the admitted group and 75 (46%) among the refused group. After multivariate adjustment, 113 patients appropriately referred for intensive care but refused admission to their first-choice intensive-care unit had a relative risk of death of 1.6 (95% CI 1.0-2.5), compared with the group of appropriately admitted cases with medium APACHE II scores for disease severity. Age, the assessed need for treatment or monitoring interventions, and emergency status also contributed to differences in mortality among all referrals. Bed provision did not contribute significantly to excess mortality. INTERPRETATION Although this study is observational and case-mix adjustment is incomplete, we found a higher rate of attributable mortality in patients who were refused intensive care, particularly for emergency cases. We question whether the provision of more beds alone would be a solution and conclude that there is an urgent need for more appropriate admission and discharge criteria.

Institutional delivery in rural India: the relative importance of accessibility and economic status

BackgroundSkilled attendance at delivery is an important indicator in monitoring progress towards Millennium Development Goal 5 to reduce the maternal mortality ratio by three quarters between 1990 and 2015. In addition to professional attention, it is important that mothers deliver their babies in an appropriate setting, where life saving equipment and hygienic conditions can also help reduce the risk of complications that may cause death or illness to mother and child. Over the past decade interest has grown in examining influences on care-seeking behavior and this study investigates the determinants of place of delivery in rural India, with a particular focus on assessing the relative importance of community access and economic status.MethodsA descriptive analysis of trends in place of delivery using data from two national representative sample surveys in 1992 and 1998 is followed by a two-level (child/mother and community) random-effects logistical regression model using the second survey to investigate the determinants.ResultsIn this investigation of institutional care seeking for child birth in rural India, economic status emerges as a more crucial determinant than access. Economic status is also the strongest influence on the choice between a private-for-profit or public facility amongst institutional births.ConclusionGreater availability of obstetric services will not alone solve the problem of low institutional delivery rates. This is particularly true for the use of private-for-profit institutions, in which the distance to services does not have a significant adjusted effect. In the light of these findings a focus on increasing demand for existing services seems the most rational action. In particular, financial constraints need to be addressed, and results support current trials of demand side financing in India.

Socioeconomic and demographic predictors of mortality and institutional residence among middle aged and older people: results from the Longitudinal Study.

STUDY OBJECTIVES: To identify socioeconomic and demographic predictors of long term mortality and institutional residence in old age, taking into account changes in socioeconomic and demographic circumstances between the 1971 and 1981 censuses. DESIGN: Multivariate logistic regression modelling of outcomes for 10 year age cohorts of each gender. The outcomes were death by 31 December 1992; being in an institution in 1991. SETTING: Members of the Longitudinal Study (a 1% sample of the British Census): 43,092 men and 50,839 women aged 55-74 in 1971. MAIN RESULTS: Being in rented accommodation and in a household without access to a car carried 35-45% higher mortality rate over 21 years and similar excess risk of being in an institution in 1991. Marital status and living arrangements were weaker predictors of death but being single was a major predictor of moving to an institution for men. Losing household access to a car was a strong factor for mortality for men and for institutionalisation for men aged 55-64 in 1971. The effects were weaker for women. Moving into rented accommodation was a predictor of both outcomes for women and of death for the younger cohort of men. People who started to live alone in the inter-census period were at reduced risk of dying. CONCLUSIONS: These results demonstrate persistence of inequalities in health related outcomes throughout old age, both in those with unfavourable circumstances in mid-life and in those who, in later life, have lost earlier advantages.

Living arrangements and place of death of older people with cancer in England and Wales: a record linkage study.

The main objectives of the study were to (1) see whether the household circumstances of people aged 50 years and over with cancer, and trends in these, differ from those of the rest of the population and (2) whether living arrangements and presence and health status of a primary coresident are associated with place of death among older people dying of cancer and those dying from other causes. The design included prospective record linkage study of people aged 50 years and over included in a 1% sample of the population of England and Wales (the Office for National Statistics Longitudinal Study). The main outcome measures comprised family and household type, and death at home. The household circumstances of older people with cancer were very similar to those of the rest of the population of the same age and both showed a large increase in living alone, and decrease in living with relatives, between 1981 and 1991. The primary coresident of cancer sufferers who did not live alone was in most cases a spouse, with much smaller proportions living with a child, sibling or other person. In all, 30% of spouse, and 23% of other, primary coresidents had a limiting long-term illness. Compared with people who lived alone in 1991, odds of a home death among those dying of cancer between 1991 and 1995 were highest for those who lived with a spouse who had no limiting long-term illness (odds ratio (OR) 2.52, 95% confidence interval (CI) 2.15–2.97) and raised for those living with a spouse with a long-term illness (OR 2.14, CI 1.79–2.56) and those living with someone else who was free of long-term illness (OR 2.13, CI 1.69–2.68). Higher socioeconomic status, both individual and area, was positively associated with increased chance of a home death, while older age reduced the chance of dying at home. The changing living arrangements of older people have important implications for planning and provision of care and treatment for cancer sufferers.

Fertility in Kenya and Uganda: A Comparative Study of Trends and Determinants

Between 1980 and 2000 total fertility in Kenya fell by about 40 per cent, from some eight births per woman to around five. During the same period, fertility in Uganda declined by less than 10 per cent. An analysis of the proximate determinants shows that the difference was due primarily to greater contraceptive use in Kenya, though in Uganda there was also a reduction in pathological sterility. The Demographic and Health Surveys show that women in Kenya wanted fewer children than those in Uganda, but that in Uganda there was also a greater unmet need for contraception. We suggest that these differences may be attributed, in part at least, first, to the divergent paths of economic development followed by the two countries after Independence; and, second, to the Kenya Governments active promotion of family planning through the health services, which the Uganda Government did not promote until 1995.

Survival after acute lymphocytic leukaemia: effects of socioeconomic status and geographic region

National cancer registry data, linked to an areal measure of material deprivation, were used to explore possible socioeconomic and regional variation in the survival of children (0–14 years) diagnosed with acute lymphocytic leukaemia (ALL) in England and Wales from 1971 to 1990. Survival analysis and Poisson regression were used to estimate observed (crude) survival probabilities and the adjusted hazard of death. There was little evidence of a socioeconomic gradient in survival. Regional differences in survival were observed over time. These differences were most pronounced in the first six months after diagnosis, and may be attributable to differential access to centralised paediatric oncology services or treatment protocols, or to the artefact of variations in regional cancer registry practice. Similar analyses should be repeated for other, less treatable childhood cancers. The results of this study can be used to help identify ways of reducing regional variation in survival.

The association of cancer survival with four socioeconomic indicators: a longitudinal study of the older population of England and Wales 1981–2000

BackgroundMany studies have found socioeconomic differentials in cancer survival. Previous studies have generally demonstrated poorer cancer survival with decreasing socioeconomic status but mostly used only ecological measures of status and analytical methods estimating simple survival. This study investigate socio-economic differentials in cancer survival using four indicators of socioeconomic status; three individual and one ecological. It uses a relative survival method which gives a measure of excess mortality due to cancer.MethodsThis study uses prospective record linkage data from The Office for National Statistics Longitudinal Study for England and Wales. The participants are Longitudinal Study members, recorded at census in 1971 and 1981 and with a primary malignant cancer diagnosed at age 45 or above, between 1981 and 1997, with follow-up until end 2000. The outcome measure is relative survival/excess mortality, compared with age and sex adjusted survival of the general population. Relative survival and Poisson regression analyses are presented, giving models of relative excess mortality, adjusted for covariates.ResultsDifferent socioeconomic indicators detect survival differentials of varying magnitude and definition. For all cancers combined, the four indicators show similar effects. For individual cancers there are differences between indicators. Where there is an association, all indicators show poorer survival with lower socioeconomic status.ConclusionCancer survival differs markedly by socio-economic status. The commonly used ecological measure, the Carstairs Index, is adequate at demonstrating socioeconomic differentials in survival for combined cancers and some individual cancers. A combination of car access and housing tenure is more sensitive than the ecological Carstairs measure at detecting socioeconomic effects on survival – confirming Carstairs effects where they occur but additionally identifying effects for other cancers. Social class is a relatively weak indicator of survival differentials.

Innovation in Evaluating the Impact of Integrated Service-Delivery: The Integra Indexes of HIV and Reproductive Health Integration

Background The body of knowledge on evaluating complex interventions for integrated healthcare lacks both common definitions of ‘integrated service delivery’ and standard measures of impact. Using multiple data sources in combination with statistical modelling the aim of this study is to develop a measure of HIV-reproductive health (HIV-RH) service integration that can be used to assess the degree of service integration, and the degree to which integration may have health benefits to clients, or reduce service costs. Methods and Findings Data were drawn from the Integra Initiative’s client flow (8,263 clients in Swaziland and 25,539 in Kenya) and costing tools implemented between 2008–2012 in 40 clinics providing RH services in Kenya and Swaziland. We used latent variable measurement models to derive dimensions of HIV-RH integration using these data, which quantified the extent and type of integration between HIV and RH services in Kenya and Swaziland. The modelling produced two clear and uncorrelated dimensions of integration at facility level leading to the development of two sub-indexes: a Structural Integration Index (integrated physical and human resource infrastructure) and a Functional Integration Index (integrated delivery of services to clients). The findings highlight the importance of multi-dimensional assessments of integration, suggesting that structural integration is not sufficient to achieve the integrated delivery of care to clients—i.e. “functional integration”. Conclusions These Indexes are an important methodological contribution for evaluating complex multi-service interventions. They help address the need to broaden traditional evaluations of integrated HIV-RH care through the incorporation of a functional integration measure, to avoid misleading conclusions on its ‘impact’ on health outcomes. This is particularly important for decision-makers seeking to promote integration in resource constrained environments.

AREA VARIATIONS IN USE OF MODERN CONTRACEPTION IN RURAL BANGLADESH: A MULTILEVEL ANALYSIS

This study in Bangladesh found that inter-cluster variation in the use of modern reversible methods of contraception was significantly attributable to the educational levels of the female family planning workers working in the clusters. Women belonging to clusters served by educated workers had a higher probability of being contraceptive users than those whose workers had only completed primary education. At the household level, important determinants of use were socioeconomic status and religion. At the individual level, the woman being the wife of the household head and having some education were positively related to her being a user. The model also found that inter-household variation was significantly greater than inter-cluster variation. Finally, the study concludes that after controlling for various covariates at all three levels, the clusters do not have significantly different levels of use of modern reversible methods of contraception. There are, however, some special areas where contraceptive use is dramatically low, and these contribute significantly to the observed inter-cluster variation.