Pressing scientific and policy issues around ethnicity and health

Ethnicity, deprivation and screening: survival from breast cancer among screening-eligible women in the West Midlands diagnosed from 1989 to 2011

BACKGROUND

Social inequalities in breast cancer survival are smaller when the cancer is screen-detected. We examined survival from screen-detected and non screen-detected breast cancer by ethnicity and deprivation.

METHODS

Cancer registry data for 20 283 women aged 50-70 years, diagnosed between 1989-2011 and invited for screening, were linked with screening and ethnicity data. We examined Asian, Black and White groups, less deprived and middle/more deprived women. Net survival was estimated using ethnic- and deprivation-specific life tables. Estimates were corrected for lead-time bias and over-diagnosis.

RESULTS

Net survival varied by screening history. No significant differences in survival were found by ethnicity. Five-year net survival was 90.0% (95% CI, 89.3-90.8%) in less deprived groups and 86.7% (85.9-87.4%) among middle/more deprived women. Screening benefitted all ethnic and both deprivation groups. Whether screen-detected or not, more deprived women had significantly poorer outcomes: 5-year net survival was 78.0% (76.7-79.2%) for deprived women who were not screen-detected compared with 94.0% (93.1-95.1%) for less deprived women who were screen-detected.

CONCLUSIONS

The three ethnic groups differed little in their breast cancer survival. Although screening confers a survival benefit to all, there are still wide disparities in survival by deprivation. More needs to be done to determine what underlies these differences and tackle them.

A novel ecological methodology for constructing ethnic-majority life tables in the absence of individual ethnicity information

BACKGROUND

Deprivation-specific life tables have been in use for some time, but health outcomes are also known to vary by ethnicity over and above deprivation. The mortality experiences of ethnic groups are little studied in the UK, however, because ethnicity is not captured on death certificates.

METHODS

Population data for all Output Areas (OAs) in England and Wales were stratified by age-group, sex and ethnic proportion, and matched to the deaths counts in that OA from 2000 to 2002. We modelled the relationship between mortality, age, deprivation and ethnic proportion. We predicted mortality rates for an area that contained the maximum proportion of each ethnic group reported in any area in England and Wales, using a generalised linear model with a Poisson distribution adjusted for deprivation.

RESULTS

After adjustment, Asian and White life expectancies between 1 and 80 years were very similar. Black men and women had lower life expectancies: men by 4 years and women by around 1.5 years. The Asian population had the lowest mortality of all groups over age 45 in women and over 50 in men, whereas the Black population had the highest rates throughout, except in girls under 15.

CONCLUSIONS

We adopted a novel ecological method of constructing ethnic-majority life tables, adjusted for deprivation. There is still diversity within these three broad ethnic groups, but our data show important residual differences in mortality for Black men and women. These ethnic life tables can be used to inform public health planning and correctly account for background mortality in ethnic subgroups of the population.

Understanding and improving communication and decision-making in palliative care for Turkish and Moroccan immigrants: a multiperspective study

OBJECTIVE

The aim of this study is to explore how communication and decision-making in palliative care among Turkish and Moroccan patients is influenced by different styles of care management between Turkish and Moroccan families and Dutch professional care providers. Problems as well as solutions for these problems are highlighted.

DESIGN

A qualitative design was used, totally interviewing 83 people (6 patients, 30 relatives and 47 care providers) covering 33 cases of incurable cancer patients receiving palliative care. Data were analysed thematically and contextually.

RESULTS

The analysis reveals that problems in decision-making are partly related to differences in ethnic-cultural views on 'good care' at the end of life: Dutch palliative care providers prefer to focus on quality of life rather than on prolonging life, while Turkish and Moroccan families tend to insist on cure. Another barrier is caused by conflicting views on the role of the 'care management group': Dutch care providers see the patient as their primary discussion partner, while in Turkish and Moroccan families, relatives play a major part in the communication and decision-making. Moreover, the family's insistence on cure often leads to the inclusion of additional care providers in communication, thus complicating joint decision-making.

CONCLUSION

Care providers need to understand that for Turkish and Moroccan patients, decision-making is seldom a matter of one-to-one communication. Next to acknowledging these patients' different cultural backgrounds, they must also recognise that the families of these patients often function as care management groups, with an 'equal' say in communication and decision-making. In addition, professionals should optimise communication within their own professional care management group.