Are area-based initiatives able to improve area safety in deprived areas? A quasi-experimental evaluation of the Dutch District Approach.

BACKGROUND: Numerous area-based initiatives have been implemented in deprived areas across Western-Europe with the aim to improve the socio-economic and environmental conditions in these areas. Only few of these initiatives have been scientifically evaluated for their impact on key social determinants of health, like perceived area safety. Therefore, this study aimed to assess the impact of a Dutch area-based initiative called the District Approach on trends in perceived area safety and underlying problems in deprived target districts. METHODS: A quasi-experimental design was used. Repeated cross-sectional data on perceived area safety and underlying problems were obtained from the National Safety Monitor (2005-2008) and its successor the Integrated Safety Monitor (2008-2011). Study population consisted of 133,522 Dutch adults, including 3,595 adults from target districts. Multilevel logistic regression analyses were performed to assess trends in self-reported general safety, physical order, social order, and non-victimization before and after the start of the District Approach mid-2008. Trends in target districts were compared with trends in various control groups. RESULTS: Residents of target districts felt less safe, perceived less physical and social order, and were victimized more often than adults elsewhere in the Netherlands. For non-victimization, target districts showed a somewhat more positive change in trend after the start of the District Approach than the rest of the Netherlands or other deprived districts. Differences were only statistically significant in women, older adults, and lower educated adults. For general safety, physical order, and social order, there were no differences in trend change between target districts and control groups. CONCLUSIONS: Results suggest that the District Approach has been unable to improve perceptions of area safety and disorder in deprived areas, but that it did result in declining victimization rates.

The impact of area-based initiatives on physical activity trends in deprived areas; a quasi-experimental evaluation of the Dutch District Approach.

BACKGROUND: Numerous area-based initiatives (ABIs) have been implemented in deprived neighbourhoods across Europe. These large-scale initiatives aim to tackle the socio-economic and environmental problems in these areas that might influence physical activity (PA). There is little robust evidence of their impact on PA. This study aimed to assess the impact of a Dutch ABI called the District Approach on trends in leisure-time PA in deprived districts. METHODS: Repeated cross-sectional data on 48401 adults across the Netherlands were obtained from the Integrated Survey on Household Living Conditions (POLS) 2004-2011. 1517 of these adults resided in deprived target districts and 46884 adults resided elsewhere in the Netherlands. In a quasi-experimental interrupted time-series design, multilevel logistic regression analyses were performed to assess trends in leisure-time walking, cycling, and sports before and during the intervention. Trends in deprived target districts were compared with trends in various control groups. The role of the intensity of environmental interventions was also assessed. RESULTS: Deprived target districts showed a significantly positive change in walking trend between the pre-intervention and intervention period. The trend change in the deprived target districts was significantly larger compared to the rest of the Netherlands, but not compared to other deprived districts. For cycling and sports, neither deprived districts nor control districts showed a significant trend change. For all leisure-time PA outcomes, trend changes were not related to the intensity of environmental interventions in the deprived target districts. CONCLUSION: Some evidence was found to suggest that ABIs like the District Approach have a positive impact on leisure-time PA in deprived districts, regardless of the intensity of environmental interventions.

Area-based interventions to ameliorate deprived Dutch neighborhoods in practice: does the Dutch District Approach address the social determinants of health to such an extent that future health impacts may be expected?

OBJECTIVE: We studied the local manifestation of a national procedural program that addressed problems regarding employment, education, housing and the physical neighborhood environment, social cohesion, and safety in the most deprived neighborhoods in the Netherlands. We aimed to assess if such a program, without the explicit aim to improve health, results in area-based interventions that address the social determinants of health to such an extent that future health impacts may be expected. METHODS: We used standardized questionnaires and face-to-face interviews with 39 local district managers. We analyzed the content of the area-based interventions to assess if the activities addressed the social determinants of health. We assessed the duration and scale of the activities in order to estimate their potential to change social determinants of health. RESULTS: Most districts addressed all six categories of social determinants of health central to the procedural program. Investments in broad-based primary schools, housing stock, green space, and social safety seemed to have the potential to result in district-level changes in social determinants. The scale of activities aimed at employment, income, educational attainment, and the social environment seemed too small to expect an impact at the district level. CONCLUSION: We conclude that the area-based interventions addressed the neighborhood environment to such an extent that future health impacts of the Dutch District Approach may be expected. The health effects in the long term might be more substantial when area-based interventions were devoted more to the improvement of the socioeconomic circumstances of residents.

Tobacco control policies specified according to socioeconomic status: health disparities and cost-effectiveness.

INTRODUCTION: Little is known about the cost-effectiveness of tobacco control policy for different socioeconomic status (SES) groups. We aimed to evaluate SES-specific cost-effectiveness ratios of policies with known favorable effect in low-SES groups: a tobacco tax increase and reimbursement of cessation support. METHODS: A computer model of the adult population specified by smoking behavior (never/current/former smoker), age, gender, and SES simulated policy scenarios reflecting the implementation of a €0.22 tobacco tax increase or full reimbursement of cessation support, which were compared. Relating differences in costs to quality-adjusted life years (QALYs) gained generated cost-effectiveness ratios for each SES group. RESULTS: In a cohort of 11 million people, the tobacco tax increase resulted in 27,000 additional quitters after 5 years, who were proportionally divided among the SES groups. Reimbursement led to 59,000 additional quitters, with relatively more quitters in higher-SES groups. The number of QALYs gained were 3,400-6,200 among the various SES groups for the tax increase and 6,300-14,000 for the reimbursement scenario. For both interventions, favorability of the cost-effectiveness ratios increased with SES: costs per QALY decreased from €6,100 to €4,500 for the tax increase and from €21,000 to €11,000 for reimbursement. CONCLUSIONS: The reimbursement policy produced the greatest overall health gain. Surprisingly, neither tax increase nor reimbursement reduced health disparities. Differences in use were too small to compensate for improved health gains per quitter among higher-SES groups. Both policies qualified as cost-effective overall, with more favorable cost-effectiveness ratios for high-SES than for low-SES groups.

Health effects of employment: a systematic review of prospective studies.

OBJECTIVES: The purpose of this review was to systematically summarise the literature on the health effects of employment. METHODS: A search for prospective studies investigating the effect of employment on health was executed in several electronic databases, and references of selected publications were checked. Subsequently, the methodological quality of each study was assessed by predefined criteria. To draw conclusions about the health effect of employment, a best evidence synthesis was used, and if possible, data were pooled. RESULTS: 33 prospective studies were included, of which 23 were of high quality. Strong evidence was found for a protective effect of employment on depression and general mental health. Pooled effect sizes showed favourable effects on depression (OR=0.52; 95% CI 0.33 to 0.83) and psychological distress (OR=0.79; 95% CI 0.72 to 0.86). Insufficient evidence was found for general health, physical health and mortality due to lack of studies or inconsistent findings. CONCLUSIONS: This systematic review indicates that employment is beneficial for health, particularly for depression and general mental health. There is a need for more research on the effects of employment on specific physical health effects and mortality to fill the knowledge gaps.

The association between adolescents' health and disparities in school career: a longitudinal cohort study.

BACKGROUND: Literature suggests that children's educational achievement is associated with their health status and the socioeconomic position of their parents. Few studies have investigated this association in adolescence, while this is an important period affecting future life trajectories. Our study investigates the relationship between adolescents' health and their subsequent school career, taking into account their parents' socioeconomic position. METHODS: Data of all Dutch adolescents who entered secondary education in 2003, according to the national education register, were linked to electronic health records from general practices and to data from the Dutch population register on a patient by patient basis. Secondary school career data of 2455 adolescents were available for several years, resulting in a longitudinal prospective cohort. School career was measured by the completion of secondary education within the research period. RESULTS: For most health problems, adolescents' health status at the moment of entering secondary education showed no association with the subsequent course of their school career. However, adolescents who had more frequent contact with their general practitioner for acute psychosocial problems (e.g. enuresis or overactive/hyperkinetic disorder), were less likely to complete their secondary education, also after adjustment for parental socioeconomic position. They were also less likely to complete their secondary education at the level of entry. CONCLUSIONS: Adolescents' secondary school career is negatively affected by the presence of acute psychosocial health problems, but not by the presence of physical health problems. This underlines the importance of adequately addressing mental health problems in adolescence.

Environmental interventions in low-SES neighbourhoods to promote healthy behaviour: enhancing and impeding factors.

BACKGROUND: Social and physical environments are important drivers of socioeconomic inequalities in health behaviour. Although many interventions aiming to improve such environments are being implemented in underprivileged neighbourhoods, implementation processes are rarely studied. Acquiring insight into successful implementation may improve future interventions. The present study aimed to investigate factors influencing the reach, effectiveness, adoption, implementation and maintenance (RE-AIM) of social and physical environmental interventions aimed at promoting healthy behaviour in underprivileged neighbourhoods in The Netherlands. METHODS: A large set of theory-based factors of successful implementation was assessed for 18 implemented interventions in three underprivileged neighbourhoods. Expert and target group panels scored the RE-AIM dimensions for each intervention. We analyzed the statistical significance of associations between theory-based factors and the actual RE-AIM in a statistical model, to identify factors associated with increased RE-AIM. RESULTS: Six factors were identified: effectiveness and implementation success were higher when the target group was involved in the planning process, whereas maintenance increased in the absence of competition with other projects. If the current situation was inventoried during intervention development, the effectiveness, adoption and implementation were higher. These dimensions were also higher when the target group was informed before implementation. Involvement of the target group during implementation resulted in higher reach, effectiveness and adoption. Finally, lack of intervention staff worsened the reach. DISCUSSION: This study contributes to the evidence base for effective implementation of environmental measures aimed at promoting healthy behaviours. In particular, interventions in which the target group was involved in the implementation process were associated with higher RE-AIM outcomes.

Urban densification in the Netherlands and its impact on mental health: An expert-based causal loop diagram.

Urban densification is a key strategy to accommodate rapid urban population growth, but emerging evidence suggests serious risks of urban densification for individuals' mental health. To better understand the complex pathways from urban densification to mental health, we integrated interdisciplinary expert knowledge in a causal loop diagram via group model building techniques. Six subsystems were identified: five subsystems describing mechanisms on how changes in the urban system caused by urban densification may impact mental health, and one showing how changes in mental health may alter urban densification. The new insights can help to develop resilient, healthier cities for all.

Quantifying the contributions of behavioral and biological risk factors to socioeconomic disparities in coronary heart disease incidence: the MORGEN study.

Quantifying the impact of different modifiable behavioral and biological risk factors on socioeconomic disparities in coronary heart disease (CHD) may help inform targeted, population-specific strategies to reduce the unequal distribution of the disease. Previous studies have used analytic approaches that limit our ability to disentangle the relative contributions of these risk factors to CHD disparities. The goal of this study was to assess mediation of the effect of low education on incident CHD by multiple risk factors simultaneously. Analyses are based on 15,067 participants of the Dutch Monitoring Project on Risk Factors for Chronic Diseases aged 20-65 years examined 1994-1997 and followed for events until January 1, 2008. Path analysis was used to quantify and test mediation of the low education-CHD association by behavioral (current cigarette smoking, heavy alcohol use, poor diet, and physical inactivity) and biological (obesity, hypertension, diabetes, and hypercholesterolemia) risk factors. Behavioral and biological risk factors accounted for 56.6 % (95 % CI 42.6-70.8 %) of the low education-incident CHD association. Smoking was the strongest mediator, accounting for 27.3 % (95 % CI 17.7-37.4 %) of the association, followed by obesity (10.2 %; 95 % CI 4.5-16.1 %), physical inactivity (6.3 %; 95 % CI 2.7-10.0 %), and hypertension (5.3 %; 95 % CI: 2.8-8.0 %). In summary, in a Dutch cohort, the majority of the relationship between low education and incident CHD was mediated by traditional behavioral and biological risk factors. Addressing barriers to smoking cessation, blood pressure and weight management, and physical activity may be the most effective approaches to eliminating socioeconomic inequalities in CHD.

Community social capital and suicide mortality in the Netherlands: a cross-sectional registry-based study.

BACKGROUND: Evidence on the effect of community social capital on suicide mortality rates is fragmentary and inconsistent. The present study aims to determine whether geographic variations in suicide mortality across the Netherlands were associated with community social capital. METHODS: We included 3507 neighbourhoods with 6207 suicide deaths in the period 1995-2000. For each neighbourhood, we measured perceived social capital using information from interview surveys, and we measured structural aspects of social capital using population registers. Associations with mortality were determined using Poisson regression analysis with control for confounders at individual level (age, sex, marital status, country of origin) and area level (area income, population density, religious orientation). RESULTS: Suicide mortality rates were related to the measure of perceived social capital. Mortality rates were 8 percent higher (95% confidence interval (CI): 2 to 16 percent) in areas with low capital. In stratified analyses, this difference was found to be significantly larger among men (12 percent, CI: 2 to 22) than women (1 percent, CI: -9 to 13), larger among those age 0-50 (18 percent, CI: 8 to 29) than older residents (-2 percent, CI: -12 to 8), and larger among the unmarried (30 percent, CI: 16-45) than the married (-2 percent, CI: -12 to 9). Associations with the structural aspect of social capital were in the same direction, but weaker, and not statistically significant. CONCLUSIONS: This study contributed some evidence to assume a modest effect of community social capital on suicide mortality rates. This effect may be restricted to specific population groups such as younger unmarried men.

Health literacy of Dutch adults: a cross sectional survey.

BACKGROUND: Relatively little knowledge is available to date about health literacy among the general population in Europe. It is important to gain insights into health literacy competences among the general population, as this might contribute to more effective health promotion and help clarify socio-economic disparities in health. This paper is part of the European Health Literacy Survey (HLS-EU). It aims to add to the body of theoretical knowledge about health literacy by measuring perceived difficulties with health information in various domains of health, looking at a number of competences. The definition and measure of health literacy is still topic of debate and hardly any instruments are available that are applicable for the general population. The objectives were to obtain an initial measure of health literacy in a sample of the general population in the Netherlands and to relate this measure to education, income, perceived social status, age, and sex. METHODS: The HLS-EU questionnaire was administered face-to-face in a sample of 925 Dutch adults, during July 2011. Perceived difficulties with the health literacy competences for accessing, understanding, appraising and applying information were measured within the domains of healthcare, disease prevention and health promotion. Multiple linear regression analyses were applied to explore the associations between health literacy competences and education, income, perceived social status, age, and sex. RESULTS: Perceived difficulties with health information and their association with demographic and socio-economic variables vary according to the competence and health domain addressed. Having a low level of education or a low perceived social status or being male were consistently found to be significantly related to relatively low health literacy scores, mainly for accessing and understanding health information. CONCLUSIONS: Perceived difficulties with health information vary between competences and domains of health. Health literacy competences are associated with indicators of socio-economic position and with the domain in which health information is provided.

Ethnic variations in unplanned readmissions and excess length of hospital stay: a nationwide record-linked cohort study.

BACKGROUND: Studies in the USA have shown ethnic inequalities in quality of hospital care, but in Europe, this has never been analysed. We explored variations in indicators of quality of hospital care by ethnicity in the Netherlands. METHODS: We analysed unplanned readmissions and excess length of stay (LOS) across ethnic groups in a large population of hospitalized patients over an 11-year period by linking information from the national hospital discharge register, the Dutch population register and socio-economic data. Data were analysed with stepwise logistic regression. RESULTS: Ethnic differences were most pronounced in older patients: all non-Western ethnic groups > 45 years had an increased risk for excess LOS compared with ethnic Dutch patients, with odds ratios (ORs) (adjusted for case mix) varying from 1.05 [95% confidence intervals (95% CI) 1.02-1.08] for other non-Western patients to 1.14 (95% CI 1.07-1.22) for Moroccan patients. The risk for unplanned readmission in patients >45 years was increased for Turkish (OR 1.24, 95% CI 1.18-1.30) and Surinamese patients (OR 1.11, 95% CI 1.07-1.16). These differences were explained partially, although not substantially, by differences in socio-economic status. CONCLUSION: We found significant ethnic variations in unplanned readmissions and excess LOS. These differences may be interpretable as shortcomings in the quality of hospital care delivered to ethnic minority patients, but exclusion of alternative explanations (such as differences in patient- and community-level factors, which are outside hospitals' control) requires further research. To quantify potential ethnic inequities in hospital care in Europe, we need empirical prospective cohort studies with solid quality outcomes such as adverse event rates.

The relationship between health, education, and health literacy: results from the Dutch Adult Literacy and Life Skills Survey.

Health literacy has been put forward as a potential mechanism explaining the well-documented relationship between education and health. However, little empirical research has been undertaken to explore this hypothesis. The present study aims to study whether health literacy could be a pathway by which level of education affects health status. Health literacy was measured by the Health Activities and Literacy Scale, using data from a subsample of 5,136 adults between the ages of 25 and 65 years, gathered within the context of the 2007 Dutch Adult Literacy and Life Skills Survey. Linear regression analyses were used in separate models to estimate the extent to which health literacy mediates educational disparities in self-reported general health, physical health status, and mental health status as measured by the Short Form-12. Health literacy was found to partially mediate the association between low education and low self-reported health status. As such, improving health literacy may be a useful strategy for reducing disparities in health related to education, as health literacy appears to play a role in explaining the underlying mechanism driving the relationship between low level of education and poor health.

Health inequalities in the Netherlands: a cross-sectional study of the role of Type D (distressed) personality.

BACKGROUND: In the Netherlands, as in many European countries, inequalities in health exist between people with a high and a low socioeconomic status (SES). From the perspective of the 'indirect selection hypothesis', this study was designed to expand our understanding of the role of Type D personality as an explanation of health inequalities. METHODS: Data came from two cross-sectional Dutch surveys among the general population (aged between 19 and 64 years, response 53.7%, n = 12,090). We analyzed the relative risks of low SES, assessed using education and income, and Type D personality, assessed using the Type D Scale-14 (DS14), for different outcomes regarding lifestyle-related risk factors and health, using multivariate Generalized Linear Models. RESULTS: Results showed that Type D personality was significantly associated with low SES (OR = 1.7 for both low education and low income). Moreover, the relative risks of Type D personality and low SES were significantly elevated for most adverse health outcomes, unconditionally as well as conditionally. CONCLUSION: The cross-sectional design hinders the making of definite etiological inferences. Nevertheless, our findings suggest that Type D personality does not explain the socioeconomic health inequalities, but is a risk factor in addition to low SES. Prevention of adverse health outcomes in low SES populations may have more effect when it takes into account that persons with a low SES in combination with a Type D personality are at highest risk.

Do inhabitants profit from integrating a public health focus in urban renewal programmes? A Dutch case study.

BACKGROUND: Urban renewal traditionally involves policy sectors such as housing, transport, and employment, which potentially can enhance the health of residents living in deprived areas. Additional involvement of the public health sector might increase the health impact of these urban renewal activities. This study evaluates the health impact of an additional focus on health, under the heading of Healthy District Experiments (HDE), within districts where an urban renewal programme was carried out. METHODS: We evaluated changes in health outcomes before the start of the HDE and after implementation, and compared these changes with health changes in control areas, e.g. districts from the urban renewal programme where no additional HDE was implemented. Additionally, we gathered information on the content of the experiments to determine what types of activities have been implemented. RESULTS: The additional activities from the HDE were mostly aimed at strengthening the health care in the districts and at promoting physical activity. When we compared the prevalence in general health, mental health, overweight, obesity, smoking, and physical activity during the study period between the HDE districts and control districts, we found no significant differences in the rate of change. The study is limited by a small sample size and the cross-sectional nature of the data. These and other limitations are discussed. CONCLUSION: We found no evidence for a beneficial health impact of the activities that were initiated with a specific focus on health, within a Dutch urban renewal programme. Specific attention for network management and the integration of such activities in the wider programme, as well as an allocated budget might be needed in order to sort a health impact.

The development of socio-economic health differences in childhood: results of the Dutch longitudinal PIAMA birth cohort.

BACKGROUND: People with higher socio-economic status (SES) are generally in better health. Less is known about when these socio-economic health differences set in during childhood and how they develop over time. The goal of this study was to prospectively study the development of socio-economic health differences in the Netherlands, and to investigate possible explanations for socio-economic variation in childhood health. METHODS: Data from the Dutch Prevention and Incidence of Asthma and Mite Allergy (PIAMA) birth cohort study were used for the analyses. The PIAMA study followed 3,963 Dutch children during their first eight years of life. Common childhood health problems (i.e. eczema, asthma symptoms, general health, frequent respiratory infections, overweight, and obesity) were assessed annually using questionnaires. Maternal educational level was used to indicate SES. Possible explanatory lifestyle determinants (breastfeeding, smoking during pregnancy, smoking during the first three months, and day-care centre attendance) and biological determinants (maternal age at birth, birthweight, and older siblings) were analysed using generalized estimating equations. RESULTS: This study shows that socio-economic differences in a broad range of health problems are already present early in life, and persist during childhood. Children from families with low socio-economic backgrounds experience more asthma symptoms (odds ratio (OR) 1.27; 95% Confidence Interval (CI) 1.08-1.49), poorer general health (OR 1.36; 95% CI 1.16-1.60), more frequent respiratory infections (OR 1.57; 95% CI 1.35-1.83), more overweight (OR 1.42; 95% CI 1.16-1.73), and more obesity (OR 2.82; 95% CI 1.80-4.41). The most important contributors to the observed childhood socio-economic health disparities are socio-economic differences in maternal age at birth, breastfeeding, and day-care centre attendance. CONCLUSIONS: Socio-economic health disparities already occur very early in life. Socio-economic disadvantage takes its toll on child health before birth, and continues to do so during childhood. Therefore, action to reduce health disparities needs to start very early in life, and should also address socio-economic differences in maternal age at birth, breastfeeding habits, and day-care centre attendance.

Residential Environment and Health: A Review of Methodological and Conceptual Issues.

Geographic patterns of poor health and mortality risk are found in most countries. Important health effects at the neighborhood level are mortality, general health, illness and disabilities, mental health, and healthcare utilization. Awareness of the influence of social class on health has been growing during the last decades. Studies show that individuals with lower socioeconomic status (SES) have a shorter life expectancy than do their 'well-off' counterparts. Yet SES-related health inequalities cannot be fully explained by individual characteristics, and environmental qualities should be taken into account. Many aspects of local areas that might be related to health or access to opportunities to live healthily are systematically poorer in socially disadvantaged areas. Such factors have the potential to explain health differences between deprived and prosperous neighborhoods. Investigating health differences at the neighborhood level implies conceptual as well as methodological issues pertaining to selection, accumulation, multiple level measurement, objective features versus perceptions, and time dynamic aspects. This article reviews such issues and evaluates several exemplary theoretical approaches from the fields of public health and environmental health in their ability to overcome such problems.

Neighborhood characteristics as determinants of healthcare utilization - a theoretical model.

BACKGROUND: We propose using neighborhood characteristics as demand-related morbidity adjusters to improve prediction models such as the risk equalization model. RESULTS: Since the neighborhood has no explicit 'place' in healthcare demand models, we have developed the "Neighborhood and healthcare utilization model" to show how neighborhoods matter in healthcare utilization. Neighborhood may affect healthcare utilization via (1) the supply-side, (2) need, and (3) demand for healthcare - irrespective of need. Three pathways are examined in detail to explain how neighborhood characteristics influence healthcare utilization via need: the physiological, psychological and behavioral pathways. We underpin this theoretical model with literature on all relevant neighborhood characteristics relating to health and healthcare utilization. CONCLUSION: Potential neighborhood characteristics for the risk equalization model include the degree of urbanization, public and open space, resources and facilities, green and blue space, environmental noise, air pollution, social capital, crime and violence, socioeconomic status, stability, and ethnic composition. Air pollution has already been successfully tested as an important predictive variable in a healthcare risk equalization model, and it might be opportune to add more neighborhood characteristics.

Does selective migration bias the health impact assessment of urban regeneration programmes in cross-sectional studies? Findings from a Dutch case study.

We examined if the assessment of the health impact of a national Dutch regeneration programme depends on using either a repeated cross-sectional or longitudinal study design. This is important as only the latter design can incorporate migration patterns. For both designs, we compared trends in medication use between target and control districts. We found differences in medication use trends to be modest under the longitudinal design, and not demonstrable under the repeated cross-sectional design. The observed differences were hardly influenced by migration patterns. We conclude that in the Netherlands migration patterns had little effect on the health impact assessment of this national urban regeneration programme, so either the cross-sectional or longitudinal evaluation study design will do.