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

What might explain deprivation-specific differences in the excess hazard of breast cancer death amongst screen-detected women? Analysis of patients diagnosed in the West Midlands region of England from 1989 to 2011.

BACKGROUND: Breast cancer survival is higher in less deprived women, even amongst women whose tumor was screen-detected, but reasons behind this have not been comprehensively investigated. METHODS: The excess hazard of breast cancer death in 20,265 women diagnosed with breast cancer, followed up to 2012, was estimated for screen-detected and non-screen-detected women, comparing more deprived to less deprived women using flexible parametric models. Models were adjusted for individual and tumor factors, treatment received and comorbidity. For screen-detected women, estimates were also corrected for lead-time and overdiagnosis. RESULTS: The excess hazard ratio (EHR) of breast cancer death in the most deprived group, adjusted only for age and year of diagnosis, was twice that of the least deprived among screen-detected women (EHR=2.12, 95%CI 1.48-2.76) and 64% higher among non-screen-detected women (EHR=1.64, 95%CI 1.41-1.87). Adjustment for stage at diagnosis lowered these estimates by 25%. Further adjustment had little extra impact. In the final models, the excess hazard for the most deprived women was 54% higher (EHR=1.54, 95%CI 1.10-1.98) among screen-detected women and 39% higher (EHR=1.39, 95%CI 1.20-1.59) among non-screen-detected women. CONCLUSION: A persistent socio-economic gradient in breast cancer-related death exists in this cohort, even for screen-detected women. The impact of differential lifestyles, management and treatment warrant further investigation

Estimation of net survival for cancer patients: Relative survival setting more robust to some assumption violations than cause-specific setting, a sensitivity analysis on empirical data.

Net survival is the survival that would be observed if the only possible underlying cause of death was the disease under study. It can be estimated with either cause-specific or relative survival data settings, if the informative censoring is properly considered. However, net survival estimators are prone to specific biases related to the data setting itself. We examined which data setting was the most robust against violation of key assumptions (erroneous cause of death and inappropriate life tables). We identified 4285 women in the Geneva Cancer Registry, diagnosed with breast, colorectal, lung cancer and melanoma between 1981 and 1991 and estimated net survival up to 20 years using cause-specific and relative survival settings. We used weights to tackle informative censoring in both settings and performed sensitivity analyses to evaluate the impact of misclassification of cause of death in the cause-specific setting or of using inappropriate life tables on net survival estimates in the relative survival setting. For all the four cancers, net survival was highest when using the cause-specific setting and the absolute difference between the two estimators increased with time since diagnosis. The sensitivity analysis showed that (i) the use of different life tables did not compromise net survival estimation in the relative survival setting, whereas (ii) a small level of misclassification for the cause of death led to a large change in the net survival estimate in the cause-specific setting. The relative survival setting was more robust to the above assumptions violations and is therefore recommended for estimation of net survival

Multivariable flexible modelling for estimating complete, smoothed life tables for sub-national populations.

BACKGROUND: The methods currently available to estimate age- and sex-specific mortality rates for sub-populations are subject to a number of important limitations. We propose two alternative multivariable approaches: a relational model and a Poisson model both using restricted cubic splines. METHODS: We evaluated a flexible Poisson and flexible relational model against the Elandt-Johnson approach in a simulation study using 100 random samples of population and death counts, with different sampling proportions and data arrangements. Estimated rates were compared to the original mortality rates using goodness-of-fit measures and life expectancy. We further investigated an approach for determining optimal knot locations in the Poisson model. RESULTS: The flexible Poisson model outperformed the flexible relational and Elandt-Johnson methods with the smallest sample of data (1%). With the largest sample of data (20%), the flexible Poisson and flexible relational models performed comparably, though the flexible Poisson model displayed a slight advantage. Both approaches tended to underestimate infant mortality and thereby overestimate life expectancy at birth. The flexible Poisson model performed much better at young ages when knots were fixed a priori. For ages 30 and above, results were similar to the model with no fixed knots. CONCLUSIONS: The flexible Poisson model is recommended because it derives robust and unbiased estimates for sub-populations without making strong assumptions about age-specific mortality profiles. Fixing knots a priori in the final model greatly improves fit at the young ages

Reminiscence therapy for dementia:an abridged Cochrane systematic review of the evidence from randomized controlled trials

Introduction: Reminiscence therapy (RT) is a popular psychosocial intervention widely used in dementia care. It involves discussion of past events and experiences, using tangible prompts to evoke memories or stimulate conversation. Areas covered: The aim of this review is to evaluate the effectiveness of RT for people with dementia. It includes studies from the specialized register of the Cochrane Dementia and Cognitive Improvement Group (ALOIS). Searches yielded 185 records of which 22 (n = 1972) were eligible for inclusion. The meta-analysis comprised of data from 16 studies (n = 1749 participants). The review included four large multicenter high-quality studies and several smaller studies of reasonable quality. Outcomes of interest were quality of life, communication, depression, and cognition at posttreatment and later follow-up. Expert commentary: RT has the potential to improve psychosocial outcomes for people with dementia. Effects are small and can be inconsistent, varying across intervention modality and setting. Individual approaches were associated with improved cognition and mood. Group approaches were linked to improved communication. The impact on quality of life appeared most promising in care home settings. Diversity in reminiscence approaches makes it difficult to compare them, and the field would benefit from the development, evaluation, use, and sharing of standardized approaches

Gender: An Important Factor in the Implementation of Services for Juvenile Offenders

The Child Welfare League of America (2003) reported that between 1980 and 2000 the arrest rate for boys declined by 11% but increased for girls by 35%. A well tested case management approach being applied more commonly in juvenile justice is the Risk-Needs-Responsivity (RNR) approach, which suggests that interventions and services should be commensurate with ones level of risk and specific dynamic risk factors (criminogenic needs). The RNR model tends to be seen as gender-neutral , based on assumption that it works equally well with both sexes. Few studies have examined whether gender differences exist in the effectiveness of RNR-type case planning. Vitopoulos et al., (2012) examined possible RNR differences between justice-involved boys and girls using the Youth Level of Service/Case Management Inventory (YLS/CMI). Across all of the criminogenic need areas (e.g. antisocial attitudes, peer affiliations), only the personality domain was significantly different by gender, such that more girls than boys seemed to have a problem inthis area. They did not find any gender differences in the matching of services to needs identified; however, a higher match between clinician-recommended needs and assigned treatment services (service-to-needs match) predicted a decrease in boys\u27 re-offending but not in girls\u27 reoffending. Given the paucity of research, we are left to question the applicability of some RNR principles or the quality of their implementation for girl offenders. Using the Structured Assessment of Violence Risk for Youth (SAVRY)) in three probation officies to measure both risk level and dynamic risk factors (criminogenic needs), we examined whether within a large sample of youth there were gender differences in the (a) criminogenic needs identified, (b) ability of probation officers (POs) to match services to needs in their case planning and (c) the association of the serve-need match to recidivism

Evidence against the proposition that “UK cancer survival statistics are misleading”: simulation study with National Cancer Registry data

Objectives To simulate each of two hypothesised errors in the National Cancer Registry (recording of the date of recurrence of cancer, instead of the date of diagnosis, for registrations initiated from a death certificate; long term survivors who are never notified to the registry), to estimate their possible effect on relative survival, and to establish whether lower survival in the UK might be due to one or both of these errors

Control of data quality for population-based cancer survival analysis.

BACKGROUND: Population-based cancer survival is an important measure of the overall effectiveness of cancer care in a population. Population-based cancer registries collect data that enable the estimation of cancer survival. To ensure accurate, consistent and comparable survival estimates, strict control of data quality is required before the survival analyses are carried out. In this paper, we present a basis for data quality control for cancer survival. METHODS: We propose three distinct phases for the quality control. Firstly, each individual variable within a given record is examined to identify departures from the study protocol; secondly, each record is checked and excluded if it is ineligible or logically incoherent for analysis; lastly, the distributions of key characteristics in the whole dataset are examined for their plausibility. RESULTS: Data for patients diagnosed with bladder cancer in England between 1991 and 2010 are used as an example to aid the interpretation of the differences in data quality. The effect of different aspects of data quality on survival estimates is discussed. CONCLUSIONS: We recommend that the results of data quality procedures should be reported together with the findings from survival analysis, to facilitate their interpretation

Life tables for global surveillance of cancer survival (the CONCORD programme): data sources and methods

We set out to estimate net survival trends for 10 common cancers in 279 cancer registry populations in 67 countries around the world, as part of the CONCORD-2 study. Net survival can be interpreted as the proportion of cancer patients who survive up to a given time, after eliminating the impact of mortality from other causes (background mortality). Background mortality varies widely between populations and over time. It was therefore necessary to construct robust life tables that accurately reflected the background mortality in each of the registry populations. Life tables of all-cause mortality rates by single year of age and sex were constructed by calendar year for each population and, when possible, by racial or ethnic sub-groups. We used three different approaches, based on the type of mortality data available from each registry. With death and population counts, we adopted a flexible multivariable modelling approach. With unsmoothed mortality rates, we used the Ewbank relational method. Where no data were available from the registry or a national statistical office, we used the abridged UN Population Division life tables and interpolated these using the Elandt-Johnson method. We also investigated the impact of using state- and race-specific life tables versus national race-specific life tables on estimates of net survival from four adult cancers in the United States (US)