Correction: Evaluating the health and health economic impact of the COVID-19 pandemic on delayed cancer care in Belgium: A Markov model study protocol.

[This corrects the article DOI: 10.1371/journal.pone.0288777.].

Evaluating the health and health economic impact of the COVID-19 pandemic on delayed cancer care in Belgium: A Markov model study protocol.

INTRODUCTION: Cancer causes a substantial burden to our society, both from a health and an economic perspective. To improve cancer patient outcomes and lower society expenses, early diagnosis and timely treatment are essential. The recent COVID-19 crisis has disrupted the care trajectory of cancer patients, which may affect their prognosis in a potentially negative way. The purpose of this paper is to present a flexible decision-analytic Markov model methodology allowing the evaluation of the impact of delayed cancer care caused by the COVID-19 pandemic in Belgium which can be used by researchers to respond to diverse research questions in a variety of disruptive events, contexts and settings. METHODS: A decision-analytic Markov model was developed for 4 selected cancer types (i.e. breast, colorectal, lung, and head and neck), comparing the estimated costs and quality-adjusted life year losses between the pre-COVID-19 situation and the COVID-19 pandemic in Belgium. Input parameters were derived from published studies (transition probabilities, utilities and indirect costs) and administrative databases (epidemiological data and direct medical costs). One-way and probabilistic sensitivity analyses are proposed to consider uncertainty in the input parameters and to assess the robustness of the model's results. Scenario analyses are suggested to evaluate methodological and structural assumptions. DISCUSSION: The results that such decision-analytic Markov model can provide are of interest to decision makers because they help them to effectively allocate resources to improve the health outcomes of cancer patients and to reduce the costs of care for both patients and healthcare systems. Our study provides insights into methodological aspects of conducting a health economic evaluation of cancer care and COVID-19 including insights on cancer type selection, the elaboration of a Markov model, data inputs and analysis.

Social inequalities and long-term health impact of COVID-19 in Belgium: protocol of the HELICON population data linkage.

INTRODUCTION: Data linkage systems have proven to be a powerful tool in support of combating and managing the COVID-19 pandemic. However, the interoperability and the reuse of different data sources may pose a number of technical, administrative and data security challenges. METHODS AND ANALYSIS: This protocol aims to provide a case study for linking highly sensitive individual-level information. We describe the data linkages between health surveillance records and administrative data sources necessary to investigate social health inequalities and the long-term health impact of COVID-19 in Belgium. Data at the national institute for public health, Statistics Belgium and InterMutualistic Agency are used to develop a representative case-cohort study of 1.2 million randomly selected Belgians and 4.5 million Belgians with a confirmed COVID-19 diagnosis (PCR or antigen test), of which 108 211 are COVID-19 hospitalised patients (PCR or antigen test). Yearly updates are scheduled over a period of 4 years. The data set covers inpandemic and postpandemic health information between July 2020 and January 2026, as well as sociodemographic characteristics, socioeconomic indicators, healthcare use and related costs. Two main research questions will be addressed. First, can we identify socioeconomic and sociodemographic risk factors in COVID-19 testing, infection, hospitalisations and mortality? Second, what is the medium-term and long-term health impact of COVID-19 infections and hospitalisations? More specific objectives are (2a) To compare healthcare expenditure during and after a COVID-19 infection or hospitalisation; (2b) To investigate long-term health complications or premature mortality after a COVID-19 infection or hospitalisation; and (2c) To validate the administrative COVID-19 reimbursement nomenclature. The analysis plan includes the calculation of absolute and relative risks using survival analysis methods. ETHICS AND DISSEMINATION: This study involves human participants and was approved by Ghent University hospital ethics committee: reference B.U.N. 1432020000371 and the Belgian Information Security Committee: reference Beraadslaging nr. 22/014 van 11 January 2022, available via https://www.ehealth.fgov.be/ehealthplatform/file/view/AX54CWc4Fbc33iE1rY5a?filename=22-014-n034-HELICON-project.pdf. Dissemination activities include peer-reviewed publications, a webinar series and a project website.The pseudonymised data are derived from administrative and health sources. Acquiring informed consent would require extra information on the subjects. The research team is prohibited from gaining additional knowledge on the study subjects by the Belgian Information Security Committee's interpretation of the Belgian privacy framework.

Colorectal cancer incidence and survival inequalities among labour immigrants in Belgium during 2004-2013.

Colorectal cancer (CRC) is one of the leading causes of cancer-related morbidity and mortality. We aim to map out differences in CRC incidence and survival between first-generation traditional labour immigrants of Italian, Turkish and Moroccan descent and native Belgians; and assess the contribution of socioeconomic position (SEP) to these differences. Individually-linked data of the 2001 Belgian Census, the Crossroads Bank for Social Security and the Belgian Cancer Registry are used. Age-standardized incidence rates and incidence rate ratios are calculated by country of origin, with and without adjusting for SEP. For CRC patients, 5-year relative survival rates and the relative excess risk for dying within five years after diagnosis are calculated by migrant origin. Lower CRC incidence was observed among immigrants compared to native Belgians, in particular among non-Western immigrants, which could not be explained by SEP. Survival inequalities were less clear, yet, after adjusting for age and stage at diagnosis and educational attainment, we observed a survival advantage among Turkish and Italian immigrant men. Health gains can be made for the native population by adapting lifestyle. The later stage at diagnosis for immigrants is of concern. Barriers regarding screening as perceived by the vulnerable groups should be identified.

Are we really all in this together? The social patterning of mortality during the first wave of the COVID-19 pandemic in Belgium.

BACKGROUND: Belgium was one of the countries that was struck hard by COVID-19. Initially, the belief was that we were 'all in it together'. Emerging evidence showed however that deprived socioeconomic groups suffered disproportionally. Yet, few studies are available for Belgium. The main question addressed in this paper is whether excess mortality during the first COVID-19 wave followed a social gradient and whether the classic mortality gradient was reproduced. METHODS: We used nationwide individually linked data from the Belgian National Register and the Census 2011. Age-standardized all-cause mortality rates were calculated during the first COVID-19 wave in weeks 11-20 in 2020 and compared with the rates during weeks 11-20 in 2015-2019 to calculate absolute and relative excess mortality by socioeconomic and -demographic characteristics. For both periods, relative inequalities in total mortality between socioeconomic and -demographic groups were calculated using Poisson regression. Analyses were stratified by age, gender and care home residence. RESULTS: Excess mortality during the first COVID-19 wave was high in collective households, with care homes hit extremely hard by the pandemic. The social patterning of excess mortality was rather inconsistent and deviated from the usual gradient, mainly through higher mortality excesses among higher socioeconomic groups classes in specific age-sex groups. Overall, the first COVID-19 wave did not change the social patterning of mortality, however. Differences in relative inequalities between both periods were generally small and insignificant, except by household living arrangement. CONCLUSION: The social patterning during the first COVID-19 wave was exceptional as excess mortality did not follow the classic lines of higher mortality in lower classes and patterns were not always consistent. Relative mortality inequalities did not change substantially during the first COVID-19 wave compared to the reference period.

Factors Associated with Return Migration of First-Generation Immigrants in Belgium (2001-2011).

Belgium is a country with a long and diverse history of migration. Given the diverse context of immigration to Belgium, reasons for return migration will most likely vary as well. With this study, we want to quantify the return migration of Belgium's immigrants and assess whether socio-economic, sociodemographic and health factors are related to return migration. Individually linked census and register data comprising the total Belgian first-generation immigrant population aged 25+ were used. Age-standardized emigration rates (ASER) by migrant origin and gender were calculated for the period 2001-2011. Additionally, relative return migration differences were calculated by country of origin and gender, adjusted for age group, length of stay, household composition, socio-economic indicators (education, home ownership and employment status) and self-rated health in 2001. Return migration was most common among immigrants from Spanish descent and from the neighbouring countries and higher among men than among women. Return migration was highly selective in terms of older age, lower length of stay in Belgium, not living with a partner or children, being high-educated, unemployed and in good health. Key issues for future research include examining the reasons for return migration, identifying the country of destination and accounting for household characteristics.

A population-based study on mortality among Belgian immigrants during the first COVID-19 wave in Belgium. Can demographic and socioeconomic indicators explain differential mortality?

INTRODUCTION: Belgium has noted a significant excess mortality during the first COVID-19 wave. Research in other countries has shown that people with migrant origin are disproportionally affected. Belgium has an ethnically diverse and increasingly ageing population and is therefore particularly apt to study differential mortality by migrant group during this first wave of COVID-19. DATA AND METHODS: We used nationwide individually-linked data from the Belgian National Register providing sociodemographic indicators and mortality; and the administrative census of 2011 providing indicators of socioeconomic position. Age-standardized all-cause mortality rates (ASMRs) were calculated during the first COVID-19 wave (weeks 11-20 in 2020) and compared with ASMRs during weeks 11-20 in 2019 to calculate excess mortality by migrant origin, age and gender. For both years, relative inequalities were calculated by migrant group using Poisson regression, with and without adjustment for sociodemographic and socioeconomic indicators. RESULTS: Among the middle-aged, ASMRs revealed increased mortality in all origin groups, with significant excess mortality for Belgians and Sub-Saharan African men. At old age, excess mortality up to 60% was observed for all groups. In relative terms, most male elderly migrant groups showed higher mortality than natives, as opposed to 2019 and to women. Adding the control variables decreased this excess mortality. DISCUSSION: This study underlined important inequalities in overall and excess mortality in specific migrant communities, especially in men. Tailor-made policy measures and communication strategies should be set-up taking into account the particular risks to which groups are exposed.

Lung cancer incidence differences in migrant men in Belgium, 2004-2013: histology-specific analyses.

BACKGROUND: Immigrants make up an important share of European populations which has led to a growing interest in research on migrants' health. Many studies have assessed migrants' cancer mortality patterns, yet few have studied incidence differences. This paper will probe into histology-specific lung cancer incidence by migrant origin aiming to enhance the knowledge on lung cancer aetiology and different risk patterns among population groups. METHODS: We used data on all lung cancer diagnoses during 2004-2013 delivered by the Belgian Cancer Registry individually linked with the 2001 Belgian Census and the Crossroads Bank for Social Security. Absolute and relative inequalities in overall and histology-specific lung cancer incidence have been calculated for first-generation Italian, Turkish and Moroccan migrant men aged 50-74 years compared to native Belgian men. RESULTS: Moroccan men seemed to be the most advantaged group. Both in absolute and relative terms they consistently had lower overall and histology-specific lung cancer incidence rates compared with native Belgian men, albeit less clear for adenocarcinoma. Turkish men only showed lower overall lung cancer incidence when adjusting for education. On the contrary, Italian men had higher incidence for overall lung cancer and squamous cell carcinoma, which was explained by adjusting for education. CONCLUSIONS: Smoking habits are likely to explain the results for Moroccan men who had lower incidence for smoking-related histologies. The full aetiology for adenocarcinoma is still unknown, yet the higher incidence among Italian men could point to differences in occupational exposures, e.g. to carcinogenic radon while working in the mines.

Cancer risk among individuals of migrant origin in Belgium during the 2000s - Evidence of migration as a 'cancer risk transition'?

Recent research has shown a generally lower cancer risk and mortality among migrants from less-industrialised country origin. However, while rates are usually lower for 'lifestyle-related' cancers (e.g. breast, prostate, lung, colorectal), they are typically elevated for 'infection-related' ones such as liver and stomach cancer. Although these observations appear in line with the theory of 'migration as a rapid epidemiological transition', changes in cancer risk after migration have yet to be investigated, effectively testing if migration also entails a 'rapid cancer risk transition'. This study therefore examines cancer risk among migrants in Belgium, focusing on colorectal cancer as a typically lifestyle-related cancer on the one hand, and infection-related cancers on the other hand. We subdivide migrant groups of more and less industrialised country origin according to duration of stay, and calculate absolute and relative incidence rates between 2004 and 2013. Our findings corroborate the transition assumptions for men from Turkey and Morocco, but cannot support them for women. Italian male immigrants have an in-between position: their colorectal cancer risk does not differ from that of Belgian men, but infection-related and non-cardia stomach cancer risks are higher and remain so with longer duration of stay. The fact that rates for migrants from the Netherlands and France generally do not differ from those of Belgians further strengthens support for a cancer transition among male migrants. Further examinations should focus on changes in health-related behaviour that can explain persistently low colorectal cancer risks among Turkish and Moroccan migrants and can inform preventive strategies for other population subgroups. Knowledge about the higher non-cardia stomach cancer risk among Turkish, Moroccan, and Italian men can support early detection strategies by primary care providers when patients present with gastric symptoms, especially because this cancer tends to have unfavourable prognosis.

Migrant mortality differences in the 2000s in Belgium: interaction with gender and the role of socioeconomic position.

BACKGROUND: Belgium has a long history of migration. As the migrant population is ageing, it is crucial thoroughly to document their health. Many studies that have assessed this, observed a migrant mortality advantage. This study will extend the knowledge by probing into the interaction between migrant mortality and gender, and to assess the role of socioeconomic position indicators in this paradox. METHODS: Individually linked data of the 2001 Belgian Census, the National Register and death certificates for 2001-2011 were used. Migrant origin was based on both own and parents' origin roots. We included native Belgians and migrants from the largest migrant groups aged 25 to 65 years. Absolute and relative mortality differences by migrant origin were calculated for the most common causes of death. Moreover, the Poisson models were adjusted for educational attainment, home ownership and employment status. RESULTS: We observed a migrant mortality advantage for most causes of death and migrant groups, which was strongest among men. Adjusting for socioeconomic position generally increased the migrant mortality advantage, however with large differences by gender, migrant origin, socioeconomic position indicator and causes of death. CONCLUSIONS: Adjusting for socioeconomic position even accentuated the migrant mortality advantage although the impact varied by causes of death, migrant origin and gender. This highlights the importance of including multiple socioeconomic position indicators when studying mortality inequalities. Future studies should unravel morbidity patterns too since lower mortality not necessarily implies better health. The observed migrant mortality advantage suggests there is room for improvement. However, it is essential to organize preventative and curative healthcare that is equally accessible across social and cultural strata.

Unemployment and cause-specific mortality among the Belgian working-age population: The role of social context and gender.

BACKGROUND: Life expectancy increased in industrialized countries, but inequalities in health and mortality by socioeconomic position (SEP) still persist. Several studies have documented educational inequalities, yet the association between health and employment status remains unclear. However, this is an important issue considering the instability of the labour market and the fact that unemployment now also touches 'non-traditional groups' (e.g. the high-educated). This study will 1) probe into the association between unemployment and cause-specific mortality; 2) look into the possible protective effect of sociodemographic variables; 3) assess the association between unemployment, SEP, gender and cause-specific mortality. MATERIAL AND METHODS: Individually linked data of the Belgian census (2001) and Register data on emigration and cause-specific mortality during 2001-2011 are used. The study population contains the Belgian population eligible for employment at census, based on age (25-59 years) and being in good health. Both absolute and relative measures of all-cause and cause-specific mortality by employment status have been calculated, stratified by gender and adjusted for sociodemographic and socioeconomic indicators. RESULTS: Unemployed men and women were at a higher risk for all-cause and cause-specific mortality compared with their employed counterparts. The excess mortality among unemployed Belgians was particularly high for endocrine and digestive diseases, mental disorders, and falls, and more pronounced among men than among women. Other indicators of SEP did only slightly decrease the mortality disadvantage of being unemployed. DISCUSSION: The findings stress the need for actions to ameliorate the health status of unemployed people, especially for the most vulnerable groups in society.

Trends in Belgian cause-specific mortality by migrant origin between the 1990s and the 2000s.

BACKGROUND: Belgium has a large migrant community that is increasingly ageing. As migrants may have faced environmental and social exposures before, during and after migration, they may have experienced an accelerated epidemiological transition. Studying mortality differentials between the migrant and native population may therefore allow for a better understanding of the aetiology of diseases. While many studies have assessed migrant mortality, few have looked into the role of gender or the trend over time. Therefore, this study aims to probe into mortality differences between the native and migrant population for all major causes of death (COD) during the 1990s and 2000s. We will discriminate between all major migrant groups and men and women as they have different migration histories. METHODS: Individually linked data of the Belgian Census, the National Register and death certificates for the periods 1991-1997 and 2001-2008 were used. Migrant origin was based on both own and parents' origin, hereby maximizing the population with migrant roots. We included native Belgians and migrants from the largest migrant groups aged 25 to 65 years. Both absolute and relative mortality differences by migrant origin were calculated for the most common COD. RESULTS: We generally observed a migrant advantage for overall, cause-specific and cancer-specific mortality, with infection-related cancer mortality being the only exception. The effect was particularly strong for lifestyle-related COD, non-western migrants, and men. Over time, mortality declined among native Belgian men and women, yet remained stable for several migrant groups. This converging trend was largely due to smoking and reduced reproductive behaviour among migrants. CONCLUSIONS: The migrant mortality advantage stresses that there is room for improvement in the area of health in Belgium. Since the largest differences between native Belgians and migrants were observed for lifestyle-related diseases, and there is a tendency towards convergence of mortality over time, primary prevention tackling the most vulnerable groups remains crucial. Moreover, efforts should be made to ensure equal access to health care among the social and cultural strata.

Socioeconomic position, population density and site-specific cancer mortality: A multilevel analysis of Belgian adults, 2001-2011.

Our study explores the association between individual and neighborhood socioeconomic position (SEP) and all-cancer and site-specific cancer mortality. Data on all Belgian residents are retrieved from a population-based dataset constructed from the 2001 census linked to register data on emigration and mortality for 2001-2011. The study population contains all men and women aged 40 years or older during follow-up. Individual SEP is measured using education, employment status and housing conditions. Neighborhood SEP is measured by a deprivation index (in quintiles). Directly age-standardized mortality rates and multilevel Poisson models are used to estimate the association between individual SEP and neighborhood deprivation and mortality from all-cancer and cancer of the lung, colon and rectum, pancreas, prostate and female breast. The potential confounding role of population density is assessed using multilevel models as well. Our findings show an increase in mortality from all-cancer and site-specific cancer by decreasing level of individual SEP for both men and women. In addition, individuals living in highly deprived neighborhoods experience significantly higher mortality from all-cancer, lung cancer, pancreatic cancer and female colorectal cancer after controlling for individual SEP. Male colorectal and prostate cancer and female breast cancer are not associated with neighborhood deprivation. Population density acts as a confounder for female lung cancer only. Our study indicates that deprivation at both the individual and neighborhood level is associated with all-cancer mortality and mortality from several cancer sites. More research into the role of life-style related and clinical factors is necessary to gain more insight into causal pathway.

Site-specific cancer mortality inequalities by employment and occupational groups: a cohort study among Belgian adults, 2001-2011.

OBJECTIVE: This study probes into site-specific cancer mortality inequalities by employment and occupational group among Belgians, adjusted for other indicators of socioeconomic (SE) position. DESIGN: This cohort study is based on record linkage between the Belgian censuses of 1991 and 2001 and register data on emigration and mortality for 01/10/2001 to 31/12/2011. SETTING: Belgium. PARTICIPANTS: The study population contains all Belgians within the economically active age (25-65 years) at the census of 1991. OUTCOME MEASURES: Both absolute and relative measures were calculated. First, age-standardised mortality rates have been calculated, directly standardised to the Belgian population. Second, mortality rate ratios were calculated using Poisson's regression, adjusted for education, housing conditions, attained age, region and migrant background. RESULTS: This study highlights inequalities in site-specific cancer mortality, both related to being employed or not and to the occupational group of the employed population. Unemployed men and women show consistently higher overall and site-specific cancer mortality compared with the employed group. Also within the employed group, inequalities are observed by occupational group. Generally manual workers and service and sales workers have higher site-specific cancer mortality rates compared with white-collar workers and agricultural and fishery workers. These inequalities are manifest for almost all preventable cancer sites, especially those cancer sites related to alcohol and smoking such as cancers of the lung, oesophagus and head and neck. Overall, occupational inequalities were less pronounced among women compared with men. CONCLUSIONS: Important SE inequalities in site-specific cancer mortality were observed by employment and occupational group. Ensuring financial security for the unemployed is a key issue in this regard. Future studies could also take a look at other working regimes, for instance temporary employment or part-time employment and their relation to health.

Evolution of educational inequalities in site-specific cancer mortality among Belgian men between the 1990s and 2000s using a "fundamental cause" perspective.

BACKGROUND: According to the "fundamental cause" theory, emerging knowledge on health-enhancing behaviours and technologies results in health disparities. This study aims to assess (trends in) educational inequalities in site-specific cancer mortality in Belgian men in the 1990s and the 2000s using this framework. METHODS: Data were derived from record linkage between the Belgian censuses of 1991 and 2001 and register data on mortality. The study population comprised all Belgian men aged 50-79 years during follow-up. Both absolute and relative inequality measures have been calculated. RESULTS: Despite an overall downward trend in cancer mortality, educational differences are observed for the majority of cancer sites in the 2000s. Generally, inequalities are largest for mortality from preventable cancers. Trends over time in inequalities are rather stable compared with the 1990s. CONCLUSIONS: Educational differences in site-specific cancer mortality persist in the 2000s in Belgium, mainly for cancers related to behavioural change and medical interventions. Policy efforts focussing on behavioural change and healthcare utilization remain crucial in order to tackle these increasing inequalities.

Evolution of socioeconomic inequalities in site-specific cancer mortality among Belgian women between 1991 and 2008 using a fundamental cause approach.

PURPOSE: According to the "fundamental cause theory", emerging knowledge on health-enhancing behaviours and technologies results in persisting and even widening health disparities, favouring the higher socioeconomic groups. This study aims to assess (trends in) socioeconomic inequalities in site-specific cancer mortality in Belgian women. METHODS: Data were derived from record linkage between the Belgian census and register data on mortality for 1991-1997 and 2001-2008 for all Belgian female inhabitants aged 50-79 years. Both absolute and relative inequalities by education and housing conditions were calculated. RESULTS: The results revealed persisting socioeconomic inequalities in total and site-specific cancer mortality. As expected, these inequalities were larger for the more preventable cancer sites. Generally, socioeconomic inequalities remained quite stable between the 1990s and the 2000s, although for some preventable cancer sites (e.g., uterus and oesophagus) a significant increase in inequality was observed. CONCLUSIONS: These persisting socioeconomic inequalities are likely due to differences in exposure to risk factors and unhealthy behaviours, and access and utilization of healthcare across the social strata. Since equality in health should be a priority for a fair public health policy, efforts to reduce inequalities in risk behaviours and access and use of health care should remain high on the agenda.

A cohort study into head and neck cancer mortality in Belgium (2001-11): Are individual socioeconomic differences conditional on area deprivation?

OBJECTIVE: The aim of this study is to assess to what extent individual and area-level socioeconomic position (SEP) are associated to head and neck cancer (HNC) mortality and to what extent they contribute to regional variation in HNC mortality in Belgium. MATERIALS AND METHODS: Data on men aged 40-64 are collected from a population based dataset based on the 2001 Belgian census linked to register data on emigration and mortality for 2001-2011. Individual SEP is measured using education, employment status and housing conditions. Deprivation at municipal level is measured by a deprivation index. Absolute mortality differences are estimated by age standardised mortality rates. Multilevel Poisson models are used to estimate the association and interaction between HNC mortality and individual and area-level SEP, and to estimate the regional variation in HNC mortality. RESULTS: HNC mortality rates are significantly higher for men with a low SEP and men living in deprived areas. Cross-level interactions indicate that the association between individual SEP and HNC mortality is conditional on area deprivation. HNC mortality in deprived areas is especially high among high-SEP men. As a result, social disparities appear to be smaller in more deprived areas. Regional variation in HNC mortality was significant. Population composition partially explains this regional variation, while area deprivation and cross-level interactions explains little. CONCLUSION: Both individual and area-level deprivation are important determinants of HNC mortality. Underlying trends in incidence and survival, and risk factors, such as alcohol and tobacco use, should be explored further.

Socioeconomic disparities in lung cancer mortality in Belgian men and women (2001-2011): does it matter who you live with?

BACKGROUND: Ample studies have observed an adverse association between individual socioeconomic position (SEP) and lung cancer mortality. Moreover, the presence of a partner has shown to be a crucial determinant of health. Yet, few studies have assessed whether partner's SEP affects health in addition to individual SEP. This paper will study whether own SEP (education), partner's SEP (partner's education) and own and partner's SEP combined (housing conditions), are associated with lung cancer mortality in Belgium. METHODS: Data consist of the Belgian 2001 census linked to register data on cause-specific mortality for 2001-2011. The study population includes all married or cohabiting Belgian inhabitants aged 40-84 years. Age-standardized lung cancer mortality rates (direct standardization) and mortality rate ratios (Poisson regression) were computed for the different SEP groups. RESULTS: In men, we observed a clear inverse association between all SEP indicators (own and partner's education, and housing conditions) and lung cancer mortality. Men benefit from having a higher educated partner in terms of lower lung cancer mortality rates. These observations hold for both middle-aged and older men. For women, the picture is less uniform. In middle-aged and older women, housing conditions is inversely associated with lung cancer mortality. As for partner's education, for middle-aged women, the association is rather weak whereas for older women, there is no such association. Whereas the educational level of middle-aged women is inversely associated with lung cancer mortality, in older women this association disappears in the fully adjusted model. CONCLUSIONS: Both men and women benefit from being in a relationship with a high-educated partner. It seems that for men, the educational level of their partner is of great importance while for women the housing conditions is more substantial. Both research and policy interventions should allow for the family level as well.

Regional Inequalities in Lung Cancer Mortality in Belgium at the Beginning of the 21st Century: The Contribution of Individual and Area-Level Socioeconomic Status and Industrial Exposure.

Being a highly industrialized country with one of the highest male lung cancer mortality rates in Europe, Belgium is an interesting study area for lung cancer research. This study investigates geographical patterns in lung cancer mortality in Belgium. More specifically it probes into the contribution of individual as well as area-level characteristics to (sub-district patterns in) lung cancer mortality. Data from the 2001 census linked to register data from 2001-2011 are used, selecting all Belgian inhabitants aged 65+ at time of the census. Individual characteristics include education, housing status and home ownership. Urbanicity, unemployment rate, the percentage employed in mining and the percentage employed in other high-risk industries are included as sub-district characteristics. Regional variation in lung cancer mortality at sub-district level is estimated using directly age-standardized mortality rates. The association between lung cancer mortality and individual and area characteristics, and their impact on the variation of sub-district level is estimated using multilevel Poisson models. Significant sub-district variations in lung cancer mortality are observed. Individual characteristics explain a small share of this variation, while a large share is explained by sub-district characteristics. Individuals with a low socioeconomic status experience a higher lung cancer mortality risk. Among women, an association with lung cancer mortality is found for the sub-district characteristics urbanicity and unemployment rate, while for men lung cancer mortality was associated with the percentage employed in mining. Not just individual characteristics, but also area characteristics are thus important determinants of (regional differences in) lung cancer mortality.

Results of the Belgian Sentinel Network of General Practitioners on the Involvement of Therapists in Stroke Rehabilitation.

This study examines which therapists are involved in the rehabilitation of stroke survivors in Belgium at different points in time. A nationwide registration of stroke patients was provided by 199 and 189 family physicians working in sentinel practices for the years 2009 and 2010 respectively. 326 patients who were diagnosed with stroke were included. Patients with paralysis/paresis received significant more physiotherapy after one month (63%) compared to non-paralysed patients (38%) (P = 0.005). Residing in a nursing home was associated with higher proportions of patients receiving physiotherapy, both after one (P = 0.003) and six (P = 0.002) months. 31% of patients with aphasia were treated by a speech and language therapist after one month, which decreased after six months to 20%. After six months, the patients in a nursing home received significant more often speech and language therapy (P = 0.004), compared to patients living at home. The proportion of patients receiving stroke rehabilitation services provided by physiotherapists, speech/language therapists and occupational therapists is rather low, especially 6 months after the critical event.