The effect on morbidity of variability in deprivation and population stability in England and Wales: an investigation at small-area level.

We seek to determine whether variability in deprivation at small area level, and population stability, influence standardised morbidity ratios in England and Wales. A regression analysis was conducted with data from the 1991 British Census, in order to explain variation in morbidity. Both an area deprivation score (for electoral wards) and the within-area variability of deprivation scores were examined as possible determinants of morbidity (self-reported, limiting, long-term illness). Particular attention was focused on a spatially-sensitive measure of the variability of deprivation scores within a wider 'locality'. There was a significant, positive relationship between age-standardised limiting, long-term illness and deprivation. The variation in area deprivation scores within the small areas themselves was also significant and positive. However, the variation in deprivation scores calculated for both an electoral ward and its contiguous neighbours (the locality) was slightly more significant. Areas with higher relative levels of in-migration also had significantly lower standardised morbidity ratios. Multivariate models showed that the deprivation score, the variation in deprivation scores for the broader locality, and the measure of migration, were all significant in combination. Residual analysis showed that many areas in London had lower levels of morbidity than expected, while electoral wards in the coal mining valleys of South Wales had higher levels than expected. We conclude that, for small areas (wards) in England and Wales, morbidity is related to deprivation, variation in deprivation within and surrounding each area, and the proportion of the population that are migrants. Variations in deprivation influence standardised morbidity rates, and policies which widen inequalities will influence health outcomes. Resource allocation based simply on measures of deprivation, which ignore population change within the area and variations in deprivation in the locality, may be inefficient.     

Mortality, long-term illness and deprivation in rural and metropolitan wards of England and Wales

The relationships between mortality, limiting long-term illness and indicators of social deprivation were investigated using regression analysis on data for rural wards, metropolitan wards and the remaining wards in England and Wales. Regional differences were controlled. In rural wards, people had better health than average and slightly better health than would be expected from their deprivation scores. Average levels of health in rural areas were only weakly related to deprivation, which was partly but not fully due to the restricted range of average deprivation values in rural wards. In metropolitan areas, relatively poor levels of health were largely explained by social deprivation, but people in Inner London were healthier than might be expected from measures of deprivation. The relationship between health and social deprivation is therefore not uniform over England and Wales, but varies between geographical types of area. One consequence is that resource allocation on the basis of social deprivation would put the populations of rural areas and Inner London at an advantage.     

Changes in socioeconomic inequalities in census measures of health in England and Wales, 1991-2001

STUDY OBJECTIVES: To investigate changes in socioeconomic inequalities in census measures of health in England and Wales between 1991 and 2001. DESIGN: Indirect standardisation was used to calculate age standardised rates of limiting long term illness and permanent sickness in men and women in all residential wards in England and Wales in 1991 and 2001. The socioeconomic position of each ward was determined using Townsend deprivation scores. SETTING: All residential wards in England and Wales in 1991 and 2001. PARTICIPANTS: All people aged 16-65 who provided census information in the 1991 or 2001 censuses. MAIN RESULTS: There was strong evidence that Townsend deprivation score quintile could predict both logged standardised permanent sickness rate and logged standardised limiting long term illness rate. There was evidence that socioeconomic inequalities in standardised limiting long term illness rates decreased between 1991 and 2001 in both men and women and that socioeconomic inequalities in standardised permanent sickness rates decreased in women but increased in men between 1991 and 2001. CONCLUSIONS: As permanent sickness rates seem to reflect labour market accessibility, this study may have found evidence that socioeconomic inequalities in self reported morbidity decreased but inequalities in labour market participation in men increased between 1991 and 2001.     

(Un-) healthy ageing: Geographic inequalities in disability-free life expectancy in England and Wales

Health expectancies are an indicator of healthy ageing that reflect quantity and quality of life. Using limiting long term illness and mortality prevalence, we calculate disability-free life expectancy for small areas in England and Wales between 1991 and 2011 for males and females aged 50–74, the life stage when people may be changing their occupation from main career to retirement or alternative work activities. We find that inequalities in disability-free life expectancy are deeply entrenched, including former coalfield and ex-industrial areas and that areas of persistent (dis-) advantage, worsening or improving deprivation have health change in line with deprivation change. A mixed health picture for rural and coastal areas requires further investigation as do the demographic processes which underpin these area level health differences.     

Impact of nursing home deaths on life expectancy calculations in small areas

STUDY OBJECTIVE: The drive to tackle health inequalities at the local level has increased interest in mortality data for small populations. There is some concern that nursing homes may affect measures of mortality for small populations, but there has been little in depth analysis of this. DESIGN AND SETTING: Deaths between 1997 and 2001 and population figures from the GP register (Exeter) database and census 2001 were used to produce life expectancy (LE) figures for all electoral wards in West Sussex. The proportion of those dying within each ward that had been residents of nursing homes was calculated and the relation between these variables and deprivation investigated. RESULTS: There was a significant linear relation between nursing home deaths and LE (p<0.0001), which explained 36% of variation in LE between wards. Deprivation accounted for around 35% of the variation in LE (p<0.0001) but was not correlated with nursing home deaths (p> or =0.0982). Multiple linear regression shows that over 60% of the variation in LE at ward level can be explained by both nursing home deaths and deprivation (p<0.0001) and that the two variables explain similar proportions of this variation. The relation between LE and nursing home deaths within wards grouped by deprivation suggests that the impact of nursing homes is strongest in deprived wards. CONCLUSIONS: This finding has important implications for LE calculations in small populations. Further investigation is now needed to examine the impact of nursing homes in other areas, on other mortality measures, and in larger populations.     

Deprivation and poor health in rural areas: inequalities hidden by averages

Poor health and social deprivation scores in 570 wards in East Anglia, UK, were much less associated in rural than in urban areas. The deprivation measure most closely related to poor health in the least accessible rural wards was male unemployment, but use of this measure did not remove the urban-rural gradient of association strength. Neither did replacing wards by smaller enumeration districts as the units of analysis. The differences between urban and rural correlations were removed by restricting the comparison to wards with the same unemployment range and combining pairs of rural wards with similar deprivation values. Apparent differences between rural and urban associations are therefore not due to the choice of deprivation indices or census areas but are artifacts of the greater internal variability, smaller average deprivation range and smaller population size of rural small areas. Deprived people with poor health in rural areas are hidden by favourable averages of health and deprivation measures and do not benefit from resource allocations based on area values.     

Do rates of hospital admission for falls and hip fracture in elderly people vary by socio-economic status?

OBJECTIVE: To determine the relationship between hospital admissions for falls and hip fracture in elderly people and area characteristics such as socio-economic deprivation. STUDY DESIGN: Ecological study of routinely collected hospital admissions data for falls and hip fracture in people aged 75 years or over for 1992-1997, linked at electoral ward level with characteristics from census data. METHODS: In total, 42,293 and 17,390 admissions were identified for falls and hip fracture, respectively, from 858 electoral wards in Trent. Rate ratios (RRs) for hospital admissions for falls and hip fracture were calculated by the electoral wards' Townsend score divided by quintiles. RRs were estimated by negative binomial regression and adjusted for the ward characteristics of age, gender, ethnicity, rurality, proportion of elderly people living alone and distance from hospital. RESULTS: There was a small but statistically significant association at electoral ward level between hospital admissions for falls and the Townsend score, with the most deprived wards having a 10% higher admission rate for falls compared with the most affluent wards (adjusted RR 1.10, 95% CI 1.01-1.19). No association was found between hospital admission for hip fracture and deprivation (adjusted RR 1.05, 95% CI 0.95-1.16). CONCLUSION: There is some evidence of an association at electoral ward level between hospital admissions for falls and socio-economic deprivation, with higher rates in deprived areas. No such association was found for hip fracture. Further work is required to assess the impact of interventions on reducing inequalities in hospital admission rates for falls in elderly people.     

Urban-rural inequalities in ischemic heart disease in Scotland, 1981-1999

OBJECTIVES: We sought to describe the pattern and magnitude of urban-rural variation in ischemic heart disease (IHD) in Scotland and to examine the associations among IHD health indicators, level of rurality, and degree of socioeconomic deprivation. METHODS: We used routine population and health data on the population aged 40-74 years between 1981 and 1999 and living in 826 small areas (average population=5600) in Scotland. Three IHD health indicators-mortality rates (deaths per 100,000 population), rates of continuous hospital stays (discharges per 100,000 population), and rates of mortality in the hospital or within 28 days of discharge (MH+) were analyzed with multilevel Poisson models. A 4-level rurality classification was used: urban areas, remote small towns, accessible rural areas, and remote rural areas. RESULTS: Rates of mortality, continuous hospital stays, and MH+ increased with area socioeconomic deprivation. After adjustment for population age, gender, and deprivation, the relative risk of IHD mortality in remote rural areas was similar to that of urban areas in 1981; the relative risk of a continuous hospital stay was significantly lower (relative risk [RR] = 0.70; 95% confidence interval [CI] = 0.64, 0.76) and the relative risk of MH+ was higher (RR=1.18; 95% CI=1.04, 1.35) in remote rural areas. Mortality and MH+ declined for all ruralities over time. However, MH+ remains highest in remote rural areas and remote towns. CONCLUSIONS: Low standardized ratios of IHD continuous hospital stays and mortality in remote rural areas mask health problems among rural populations. Although absolute and relative differences between urban and rural rates of MH+ have diminished, the relative risk of MH+ remains high in remote rural areas.     

Effect of labour market conditions on reporting of limiting long-term illness and permanent sickness in England and Wales.

STUDY OBJECTIVE: To identify any bias in the reporting of limiting long term illness and permanent sickness due to labour market conditions, and show the absence of the effect in mortality rates. DESIGN: A geographically based study using data from the 1991 census. Standardised ratios for mortality and long term illness in people aged 0-64 years and permanent sickness in people of working age were compared with Carstairs deprivation scores in multilevel models which separated the effects operating at three geographical scales: census wards, travel to work areas, and standard regions. Holding ward and regional effects constant, variations between travel to work areas were compared with long term unemployment rates. SETTING: Altogether 8690 wards and 262 travel to work areas in England and Wales. MAIN RESULTS: Variations in mortality, limiting long term illness, and permanent sickness were related to Carstairs deprivation scores and standard region. With these relationships controlled, limiting long term illness and permanent sickness were significantly related to long term unemployment levels in travel to work areas, but mortality was not affected. Self reported morbidity was more sensitive to variations in long term unemployment rates in conditions of high social deprivation than in affluent populations. CONCLUSIONS: Limiting long term illness and permanent sickness measures may reflect a tendency for higher positive response in difficult labour market conditions. For average social deprivation conditions, standardised limiting long term illness for people aged 0-64 years was 20% higher in travel to work areas where employment prospects were relatively poor compared with areas with relatively good employment prospects. This casts doubt on the use of limiting long term illness as an indicator of objective health care needs for resource allocation purposes at national level.     

Interrelations between three proxies of health care need at the small area level: an urban/rural comparison

Study objective: To examine the relations between geographical variations in mortality, morbidity, and deprivation at the small area level in the south west of England and to assess whether these relations vary between urban and rural areas.

Design: A geographically based cross sectional study using 1991 census data on premature limiting long term illness (LLTI) and socioeconomic characteristics, and 1991–1996 data on all cause premature mortality. The interrelations between the three widely used proxies of health care need are examined using correlation coefficients and scatterplots. The distribution of standardised LLTI residuals from a regression analysis on mortality are mapped and compared with the distribution of urban and rural areas. Multilevel Poisson modelling investigates whether customised deprivation profiles improve upon a generic deprivation index in explaining the spatial variation in morbidity and mortality after controlling for age and sex. These relations are examined separately for urban, fringe, and rural areas.

Setting: Nine counties in the south west of England.

Participants: Those aged between 0–64 who reported having a LLTI in the 1991 census, and those who died during 1991–1996 aged 0–74.

Main results: Relations between both health outcomes and generic deprivation indices are stronger in urban than rural areas. The replacement of generic with customised indices is an improvement in all area types, especially for LLTI in rural areas. The relation between mortality and morbidity is stronger in urban than rural areas, with levels of LLTI appearing to be greater in rural areas than would be predicted from mortality rates. Despite the weak direct relations between mortality and morbidity, there are strong relations between the customised deprivation indices computed to predict these outcomes in all area types.

Conclusions: The improvement of the customised deprivation indices over the generic indices, and the similarity between the mortality and morbidity customised indices within area types highlights the importance of modelling urban and rural areas separately. Stronger relations between mortality and morbidity have been revealed at the local authority level in previous research providing empirical evidence that the inadequacy of mortality as a proxy for morbidity becomes more marked at lower levels of aggregation, especially in rural areas. Higher levels of LLTI than expected in rural areas may reflect different perceptions or differing patterns of illness. The stronger relations between the three proxies in urban than rural areas suggests that the choice of indicator will have less impact in urban than rural areas and strengthens the argument to develop better measures of health care need in rural areas.

     

A rural advantage? Urban-rural health differences in northern England.

Rural health inequalities have been relatively neglected in recent years. The data assembled for a large study of health and deprivation in the Northern Region of England have been reanalysed to examine three questions. How wide are rural health inequalities compared with those in urban areas? Is health intrinsically better in rural areas, given comparable deprivation or affluence? Is the association between health and wealth weaker in rural than in urban areas? It is shown that, although health inequalities are wider in urban areas, this corresponds to wider socio-economic divisions: at equivalent levels of wealth, health measures are similar. This relationship breaks down, however, when the most remote rural areas are compared with matching localities in conurbations, for in this case rural areas have a clear advantage. We go on to show that the apparent weakness of the association between health and wealth in rural areas is largely an artefact; the association becomes stronger when the units of population (electoral wards) are enlarged to resemble more closely those in urban contexts. The comparability of rural and urban forms of deprivation is discussed in the light of these results.     

Gender differences in relationships between urban green space and health in the United Kingdom

Natural environments, or ‘green spaces’, have been associated with a wide range of health benefits. Gender differences in neighbourhood effects on health have been found in a number of studies, although these have not been explored in relation to green space. We conducted the first UK-wide study of the relationship between urban green space and health, and the first such study to investigate gender differences in this relationship. An ecological approach was used. Two land use datasets were used to create a proportional green space measure (% by area) at the UK Census Area Statistic ward scale. Our sample consisted of 6432 urban wards, with a total population of 28.6 million adults aged 16–64 years in 2001. We selected health outcomes that were plausibly related to green space (cardiovascular disease mortality, respiratory disease mortality and self-reported limiting long-term illness) and another that was expected to be unrelated (lung cancer mortality). Negative binomial regression models examined associations between urban green space and these health outcomes, after controlling for relevant confounders. Gender differences in these associations were observed and tested. Male cardiovascular disease and respiratory disease mortality rates decreased with increasing green space, but no significant associations were found for women. No protective associations were observed between green space and lung cancer mortality or self-reported limiting long-term illness for either men or women. Possible explanations for the observed gender differences in the green space and health relationship are gender differences in perceptions and usage of urban green spaces. We conclude that it is important not to assume uniform health benefits of urban green space for all population subgroups. Additionally, urban green space measures that capture quality as well as quantity could be more suited to studying green space and health relationships for women.     

Measuring inequalities in health: the case for healthy life expectancy

OBJECTIVE: To evaluate healthy life expectancy (HLE) as a measure of health inequalities by comparing geographical and area-based deprivation-related inequalities in healthy and total life expectancy (TLE). DESIGN: Life table analysis based on ecological cross-sectional data. Setting and population: Council area quarters and postcode sector-based deprivation fifths in Scotland. MAIN OUTCOME MEASURES: Expectation of life in good self-assessed general health, or free from limiting long-term illness, and TLE, for females and males at birth. RESULTS: Women in Scotland have a life expectation of 70.3 years in good health, 61.6 years free from limiting long-term illness, and a TLE of 78.9 years. Comparable figures for men are 66.3, 58.6 and 73.5 years. TLE and HLE decrease with increasing area deprivation. Differences are substantially wider for HLE. A 4.7-year difference is seen in TLE between women living in the most and least deprived fifth of areas. The difference in HLE is 10.7 years in good health and 11.6 years free from limiting long-term illness. The degree of deprivation-related inequality in HLE is 2.5 times wider for women and 1.8 times wider for men than in TLE. CONCLUSIONS: Differences in TLE underestimate health inequalities substantially. By including morbidity and mortality, HLE reflects the excess burden of ill health experienced by disadvantaged populations better. Inequalities in length of life and health status during life should be taken into account while monitoring inequalities in population health.     

Are health inequalities between differently deprived areas evident at different ages? A longitudinal study of census records in England and Wales, 1991–2001

The notion that mortality inequalities between differently deprived areas vary by age is logical since not all causes of death increase in risk with age and not all causes of death are related to the gradient of deprivation. In addition to the cause-age and cause-deprivation relationships, population migration may redistribute the population such that the health-deprivation relationship varies by age.We calculate cross-sectional all cause mortality and self-reported limiting long-term illness (LLTI) rate ratios of most to least deprived areas to demonstrate inequalities at different ages. We use longitudinal data to investigate whether there are changes in the distribution of cohorts between differently deprived areas over time and whether gradients of LLTI with deprivation also change.We find similar deprivation inequalities by age for all cause mortality and self-reported health with less inequality for young adults and the elderly but the greatest inequalities during mid life. Over time there are systematic movements of cohorts between differently deprived areas and associated increases and decreases in the gradient of LLTI across deprivation. It seems likely that population migration does influence inequalities by age. Further work should investigate whether the situation exists for other morbidities and, to better inform public health policy, whether restricting summary measures of area health to ages between 30 and 60 when inequalities are greatest will highlight between area differences.     

The Index of Multiple Deprivation 2000 and accessibility effects on health

STUDY OBJECTIVE: To investigate whether the Index of Multiple Deprivation 2000 (IMD) is more strongly related to inequalities in health in rural areas than traditional deprivation indices. To explore the contribution of the IMD domain "geographical access to services" to understanding rural health variations. DESIGN: A geographically based cross sectional study. SETTING: Nine counties in the south west region of England. PARTICIPANTS: All those aged below 65 who reported a limiting long term illness in the 1991 census, and all those who died during 1991-96, aged less than 65 years. MAIN RESULTS: The IMD is comparable with the Townsend score in its overall correlation with premature mortality (r(2) = 0.44 v 0.53) and morbidity (r(2) = 0.79 v 0.76). Correlation between the Townsend score and population health is weak in rural areas but the IMD maintains a strong correlation with rates of morbidity (r(2) = 0.70). The "geographical access to services" domain of the IMD is not strongly correlated with rates of morbidity in rural areas (r(2) = 0.04), and in urban areas displays a negative correlation (r(2) = -0.47). CONCLUSIONS: The IMD has a strong relation with health in both rural and urban areas. This is likely to be the result of the inclusion of data in the IMD on the numbers of people claiming benefits related to ill health and disability. The domain "geographical access to services" is not associated with health in rural areas, although it displays some association in urban areas. This domain is potentially important but, as yet, inadequately specified in the IMD for the purposes of health research.     

Socio-economic deprivation is associated with increased proximity to general practices in England: an ecological analysis

BACKGROUND: As health status is consistently negatively correlated with socio-economic deprivation, the need for health services is generally assumed to be greater in more deprived communities. The Inverse Care Law predicts that access to good quality primary care services in more deprived wards will be less than that in affluent wards. However, the relationship between deprivation and geographical proximity to health services has received little attention. METHODS: We investigated the relationship between geographical proximity to general practices and a number of markers of socio-economic deprivation at the electoral ward level in the North East of England using various domains of the Index of Multiple Deprivation 2000 (IMD2000). RESULTS: More deprived wards, as measured by the employment, education and income domains of the IMD2000, had greater proximity to general practices, as measured by the access domain of the IMD2000, than affluent wards. This results held in both urban and rural wards. CONCLUSIONS: Contrary to our expectations and the predictions of the Inverse Care Law, geographical proximity to general practices was greater in more deprived, compared to more affluent wards. However, geographical proximity to services does not necessarily ensure that services will be accessed or that they are of good quality.     

Availability of primary care doctors and population health in England: is there an association?

BACKGROUND: In the United States, an association has been proposed between better access to primary care and lower mortality. This paper reports an ecological analysis that evaluated whether population health was associated with general practitioner (GP) supply in England. METHODS: Data were analysed for 99 health authorities in England in 1999. Health outcomes included standardized mortality ratios, infant mortality rate (per 1,000), hospital admissions with acute and chronic conditions (per 100,000), and teenage conception rates (per 1,000). The number of GPs per 10,000 population was included as explanatory variable. Confounders included the Townsend deprivation score, proportion of ethnic minorities, proportion in social classes IV and V, and proportion with limiting long-term illness. Analyses were by linear regression weighted for population size. RESULTS: Higher GP supply was associated with lower mortality in univariate analyses. After adjusting for deprivation score, ethnic group and social class, the standardized mortality ratio for all-cause mortality at 15-64 years decreased by -5.2 (95 per cent confidence interval -8.3 to -2.0, p = 0.002) per unit increase in GP supply. After additional adjustment for limiting long-term illness, the decrease was -3.3 (-6.7 to 0.1, p = 0.060). In the fully adjusted model, each unit increase in GP supply was associated with a decrease in hospital admission rates for acute conditions (-14.4, -21.4 to -7.4 per 100,000, p < 0.001) and chronic conditions (-10.6, -17.2 to -4.0, p = 0.002). CONCLUSIONS: In England, lower supply of GPs was associated with increased hospital utilization, but a strong univariate association with mortality might be explained by confounding.     

Place and personal circumstances in a multilevel account of women's long-term illness

This paper investigates geographical variations in women's reports of limiting long-term illness in terms of individual inequalities and the contribution of area characteristics among wards and county districts. We use multilevel modelling of linked census data from the Office for National Statistics Longitudinal Study for England and Wales. We follow a random sample of 76.374 women aged between 16 and 45 at the time of the 1971 Census for 20 years to observe their reported limiting long-term illness (LLTI) at the 1991 Census. Car and home ownership were useful markers of social and material advantage, apparently protecting against the risk of reporting LLTI. Migration into the South-East region appeared beneficial, but otherwise there was little difference between those who moved home and those who did not. Differences between county districts persist after adjustment for individual circumstances (education and ethnicity), but almost all of these differences are explained by the social profile of wards in these areas. Geographical differences in LLTI are not, therefore, entirely explained by the distribution of individual characteristics: a woman with the same history may face a different risk of illness in different kinds of area. For women, the social composition of the locality (using the ward as a proxy) is more relevant than the broader economic and industrial classification of the surrounding county district, which is more important for health inequalities among men.     

Material versus social deprivation and health: a case study of an urban area

Socioeconomic factors are one of the main determinants of health inequalities. However, which component of socioeconomic status affects health most and how that relationship should be measured remains an open question. The aim of this study was to compare material and social deprivation indexes in order to determine which better explains health inequalities within an urban area. Following a review of the literature on small area deprivation indexes, a case study of the Italian city Genoa is presented. The city of Genoa is split into 71 small areas [urbanistic units (UU)], each of which has about 9,500 inhabitants. For each small area, socioeconomic indicators were extracted from the 2001 Census, whereas health indicators were computed from the death registry for 2001–2003. Factorial analyses was used to choose the deprivation variables, which were utilised to create two distinct deprivation indexes referring to material and social deprivation, respectively. Both deprivation indexes are positively correlated with health status proxied by standardised mortality ratios (SMRs) under 65. The material index, however, correlates more highly with SMRs than the social index, and thus the material index is the more suitable measure to explain variations in premature mortality within an urban area. Moreover, the two indexes must be kept distinct.      

An Ecological Study to Identify Census Blocks Supporting a Higher Burden of Disease: Infant Mortality in the Lille Metropolitan Area, France

In France, reducing social health inequalities has become an explicit goal of health policies over the past few years, one of its objectives is specifically the reduction of the perinatal mortality rate. This study investigates the association between infant mortality and social deprivation categories at a small area level in the Lille metropolitan area, in the north of France, to identify census blocks where public authorities should prioritize appropriate preventive actions. We used census data to establish a neighbourhood deprivation index whose multiple dimensions encompass socioeconomic characteristics. Infant mortality data were obtained from the Lille metropolitan area municipalities to estimate a death rate at the census tract level. We used Bayesian hierarchical models in order to reduce the extra variability when computing relative risks (RR) and to assess the associations between infant mortality and deprivation. Between 2000 and 2009, 668 cases of infant death occurred in the Lille metropolitan area (4.2 per 1,000 live births). The socioeconomic status is associated with infant mortality, with a clear gradient of risk from the most privileged census blocks to the most deprived ones (RR = 2.62, 95 % confidence interval [1.87; 3.70]). The latter have 24.6 % of families who were single parents and 29.9 % of unemployed people in the labor force versus 8.5 % and 7.7 % in the former. Our study reveals socio-spatial disparities in infant mortality in the Lille metropolitan area and highlights the census blocks most affected by the inequalities. Fine spatial analysis may help inform the design of preventive policies tailored to the characteristics of the local communities.