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.

Psychometric Properties of the QoL-ME: A Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems.

Background: Quality of Life (QoL) assessment in people with severe mental health problems may benefit from improved personalization and accessibility. Therefore, an innovative, digital, visual, and personalized QoL assessment app for people with severe mental health problems was recently developed: the QoL-ME. The aim of this study was to evaluate the psychometric quality of the QoL-ME by assessing its reliability, validity, and responsiveness. Methods: To examine the reliability of the QoL-ME, the internal consistency of its subscales was assessed using Cronbach's Alpha. Correlations between the QoL-ME and the MANSA were computed to appraise the construct validity of the QoL-ME. Internal responsiveness was evaluated using the standardized response mean and external responsiveness was investigated using hierarchical regression. Results: Cronbach's Alpha's of the subscales of the QoL-ME ranged between 0.5 and 0.84. In accordance with expectations, the language-based core version of the QoL-ME correlated strongly (r = between 0.55 and 0.76) with the MANSA, whilst the picture-based additional modules of the QoL-ME correlated moderately (r = 0.3) with the MANSA. The standardized response mean was 0.23 and the regression model revealed a coefficient ß of -0.01. Conclusions: The QoL-ME has adequate psychometric properties. In comparison with similar pictorial instruments, both the QoL-ME's reliability and validity can be considered as sufficient. The results indicate that the responsiveness of the QoL-ME is insufficient. Additional research is needed to evaluate and potentially modify the instrument to improve its responsiveness.

Contribution of amenable mortality to life expectancy differences between the Dutch Caribbean islands of Aruba and Curaçao and the Netherlands.

OBJECTIVE: To identify specific health care areas whose optimization could improve population health in the Dutch Caribbean islands of Aruba and Curaçao. METHODS: Comparative observational study using mortality and population data of the Dutch Caribbean islands and the Netherlands. Mortality trends were calculated, then analyzed with Joinpoint software, for the period 1988-2014. Life expectancies were computed using abridged life tables for the most recent available data of all territories (2005-2007). Life expectancy differences between the Dutch Caribbean and the Netherlands were decomposed into cause-specific contributions using Arriaga's method. RESULTS: During the period 1988-2014, levels of amenable mortality have been consistently higher in Aruba and Curaçao than in the Netherlands. For Aruba, the gap in amenable mortality with the Netherlands did not significantly change during the study period, while it widened for Curaçao. If mortality from amenable causes were reduced to similar levels as in the Netherlands, men and women in Aruba would have added, respectively, 1.19 years and 0.72 years to their life expectancies during the period 2005-2007. In Curaçao, this would be 2.06 years and 2.33 years. The largest cause-specific contributions were found for circulatory diseases, breast cancer, perinatal causes, and nephritis/nephrosis (these last two causes solely in Curaçao). CONCLUSIONS: Improvements in health care services related to circulatory diseases, breast cancer, perinatal deaths, and nephritis/nephrosis in the Dutch Caribbean could substantially contribute to reducing the gap in life expectancy with the Netherlands. Based on our study, we recommend more in-depth studies to identify the specific interventions and resources needed to optimize the underlying health care areas.

Contribution of amenable mortality to life expectancy differences between the Dutch Caribbean islands of Aruba and Curaçao and the Netherlands

[ABSTRACT]. Objective. To identify specific health care areas whose optimization could improve population health in the Dutch Caribbean islands of Aruba and Curaçao. Methods. Comparative observational study using mortality and population data of the Dutch Caribbean islands and the Netherlands. Mortality trends were calculated, then analyzed with Joinpoint software, for the period 1988–2014. Life expectancies were computed using abridged life tables for the most recent available data of all territories (2005–2007). Life expectancy differences between the Dutch Caribbean and the Netherlands were decomposed into cause-specific contributions using Arriaga’s method. Results. During the period 1988–2014, levels of amenable mortality have been consistently higher in Aruba and Curaçao than in the Netherlands. For Aruba, the gap in amenable mortality with the Netherlands did not significantly change during the study period, while it widened for Curaçao. If mortality from amenable causes were reduced to similar levels as in the Netherlands, men and women in Aruba would have added, respectively, 1.19 years and 0.72 years to their life expectancies during the period 2005–2007. In Curaçao, this would be 2.06 years and 2.33 years. The largest cause-specific contributions were found for circulatory diseases, breast cancer, perinatal causes, and nephritis/nephrosis (these last two causes solely in Curaçao). Conclusions. Improvements in health care services related to circulatory diseases, breast cancer, perinatal deaths, and nephritis/nephrosis in the Dutch Caribbean could substantially contribute to reducing the gap in life expectancy with the Netherlands. Based on our study, we recommend more in-depth studies to identify the specific interventions and resources needed to optimize the underlying health care areas.

[RESUMEN]. Objetivo. Determinar las áreas específicas de atención de salud cuya optimización podría mejorar la salud de la población en las islas del Caribe holandés de Aruba y Curaçao. Métodos. Estudio de observación comparativo en el que se utilizaron datos demográficos y de mortalidad de las islas del Caribe holandés y de los Países Bajos. Se calcularon las tendencias de mortalidad y luego se analizaron con programas de computación Jointpoint de regresión lineal segmentada, para el período 1988–2014. La esperanza de vida se calculó utilizando tablas de mortalidad abreviadas con los datos más recientes disponibles de todos los territorios (2005–2007). Las diferencias de esperanza de vida entre el Caribe holandés y los Países Bajos se desglosaron, usando el método de Arriaga, en contribuciones por causas específicas. Resultados. En el período 1988–2014, los niveles de mortalidad por causas evitables mediante la atención de salud han sido sistemáticamente mayores en Aruba y Curaçao que en los Países Bajos. En el caso de Aruba, la brecha en la mortalidad por causas evitables mediante la atención de salud con respecto a los Países Bajos no varió significativamente durante el período de estudio; en el caso de Curaçao, la brecha fue mayor. Si la mortalidad por causas evitables mediante la atención de salud se redujese a un nivel similar al de los Países Bajos, los hombres y las mujeres en Aruba habrían sumado, respectivamente, 1,19 años y 0,72 años a su esperanza de vida en el período 2005–2007. En Curaçao, el aumento hubiese sido de 2,06 años y de 2,33 años. Según el estudio, las causas específicas que más contribuyen a esta diferencia son las enfermedades circulatorias, el cáncer de mama, las complicaciones perinatales, y la nefritis/nefrosis (estas últimas dos causas solamente en Curaçao). Conclusiones. Una mejora en los servicios de salud en relación con las enfermedades circulatorias, el cáncer de mama, las complicaciones perinatales, y la nefritis/nefrosis en el Caribe holandés podría contribuir sustancialmente a la reducción de la brecha en la esperanza de vida con respecto a los Países Bajos. Por tanto, con base en nuestro estudio, recomendamos que se realicen más estudios exhaustivos a fin de determinar las intervenciones específicas y los recursos que se necesitan para optimizar las áreas de atención de salud involucradas.

[RESUMO]. Objetivo. Identificar áreas específicas da atenção à saúde cuja otimização poderia melhorar a saúde da população nas ilhas de Aruba e Curaçao, no Caribe holandês. Métodos. Estudo observacional comparativo baseado em dados de mortalidade e populacionais das ilhas do Caribe holandês e dos Países Baixos. As tendências de mortalidade foram calculadas e então analisadas com o software Joinpoint, no período de 1988 a 2014. As expectativas de vida foram computadas usando tábuas de mortalidade resumidas com os dados disponíveis mais recentes de todos os territórios (2005-2007). As diferenças na expectativa de vida entre o Caribe holandês e os Países Baixos foram desagregadas segundo as contribuições específicas por causa usando o método de Arriaga. Resultados. No período de 1988 a 2014, os níveis de mortalidade evitável foram consistentemente mais elevados em Aruba e Curaçao do que nos Países Baixos. Em Aruba, a diferença na mortalidade evitável em comparação com os Países Baixos não mudou significativamente durante o período do estudo, enquanto que em Curaçao a diferença aumentou. Se a mortalidade por causas evitáveis fosse reduzida a níveis semelhantes aos dos Países Baixos, os homens e mulheres de Aruba teriam aumentos respectivos de 1,19 e 0,72 anos nas suas expectativas de vida durante o período 2005-2007. Em Curaçao, o aumento seria de 2,06 e 2,33 anos. As maiores contribuições de causas específicas foram as de doenças circulatórias, câncer de mama, causas perinatais e nefrite/nefrose (estas duas últimas causas somente em Curaçao). Conclusões. Melhorias nos serviços de saúde relacionados com doenças circulatórias, câncer de mama, mortes perinatais e nefrite/nefrose no Caribe holandês poderiam contribuir substancialmente para reduzir as disparidades na expectativa de vida em comparação com os Países Baixos. Com base neste trabalho, recomendamos estudos mais aprofundados para identificar as intervenções e recursos específicos necessários para otimizar estas áreas da atenção à saúde.

Differences in life expectancy between four Western countries and their Caribbean dependencies, 1980-2014.

BACKGROUND: In the Caribbean, life expectancy in politically independent territories has increasingly diverged from that of territories that remained affiliated to their former colonizers. Because these affiliated territories differ in degree of political independence, they are not all governed in the same way. We assessed whether differences in life expectancy trends between Caribbean dependencies and their Western administrators were related to their degree of political independence, and which causes of death contributed to divergence or convergence in life expectancy. METHODS: Analysis of age-standardized death rates and decomposition of life expectancy differences between France, the Netherlands, UK, USA and their Caribbean dependencies by age and cause-of-death during the period 1980-2014. RESULTS: Life expectancy differences between Western countries and their dependencies have generally increased for men and narrowed for women, but trends have been much more favorable in the French- than in the Dutch-administered territories. The strongest contributions to widening gaps in life expectancy between Western countries and their dependencies were from mortality from cardiovascular diseases (ischemic heart disease) and external causes (homicide and traffic accidents). CONCLUSION: Dependencies with a stronger political affiliation to a Western country experienced more favorable life expectancy developments than dependencies that had more autonomy during the 1980-2014 period. The underlying mortality differences with Western countries are largely comparable among Caribbean territories but differ in magnitude, most notably for cardiovascular disease and external causes. This suggests that increases in a territory's political autonomy impairs the diffusion of new knowledge and techniques, and/or reduces government's effectiveness in implementing policies.

Contribution of amenable mortality to life expectancy differences between the Dutch Caribbean islands of Aruba and Curaçao and the Netherlands / Contribución de la mortalidad por causas evitables mediante la atención de salud a la diferencia de la esperanza de vida entre las islas del Caribe holandés de Aruba y Curaçao y los Países Bajos / Contribuição da mortalidade evitável para as diferenças na expectativa de vida entre as ilhas de Aruba e Curaçao, no Caribe holandês, e os Países Baixos

ABSTRACT Objective. To identify specific health care areas whose optimization could improve population health in the Dutch Caribbean islands of Aruba and Curaçao. Methods. Comparative observational study using mortality and population data of the Dutch Caribbean islands and the Netherlands. Mortality trends were calculated, then analyzed with Joinpoint software, for the period 1988-2014. Life expectancies were computed using abridged life tables for the most recent available data of all territories (2005-2007). Life expectancy differences between the Dutch Caribbean and the Netherlands were decomposed into cause-specific contributions using Arriaga's method. Results. During the period 1988-2014, levels of amenable mortality have been consistently higher in Aruba and Curaçao than in the Netherlands. For Aruba, the gap in amenable mortality with the Netherlands did not significantly change during the study period, while it widened for Curaçao. If mortality from amenable causes were reduced to similar levels as in the Netherlands, men and women in Aruba would have added, respectively, 1.19 years and 0.72 years to their life expectancies during the period 2005-2007. In Curaçao, this would be 2.06 years and 2.33 years. The largest cause-specific contributions were found for circulatory diseases, breast cancer, perinatal causes, and nephritis/nephrosis (these last two causes solely in Curaçao). Conclusions. Improvements in health care services related to circulatory diseases, breast cancer, perinatal deaths, and nephritis/nephrosis in the Dutch Caribbean could substantially contribute to reducing the gap in life expectancy with the Netherlands. Based on our study, we recommend more in-depth studies to identify the specific interventions and resources needed to optimize the underlying health care areas.(AU)

RESUMEN Objetivo. Determinar las áreas específicas de atención de salud cuya optimización podría mejorar la salud de la población en las islas del Caribe holandés de Aruba y Curaçao. Métodos. Estudio de observación comparativo en el que se utilizaron datos demográficos y de mortalidad de las islas del Caribe holandés y de los Países Bajos. Se calcularon las tendencias de mortalidad y luego se analizaron con programas de computación Jointpoint de regresión lineal segmentada, para el período 1988-2014. La esperanza de vida se calculó utilizando tablas de mortalidad abreviadas con los datos más recientes disponibles de todos los territorios (2005-2007). Las diferencias de esperanza de vida entre el Caribe holandés y los Países Bajos se desglosaron, usando el método de Arriaga, en contribuciones por causas específicas. Resultados. En el período 1988-2014, los niveles de mortalidad por causas evitables mediante la atención de salud han sido sistemáticamente mayores en Aruba y Curaçao que en los Países Bajos. En el caso de Aruba, la brecha en la mortalidad por causas evitables mediante la atención de salud con respecto a los Países Bajos no varió significativamente durante el período de estudio; en el caso de Curaçao, la brecha fue mayor. Si la mortalidad por causas evitables mediante la atención de salud se redujese a un nivel similar al de los Países Bajos, los hombres y las mujeres en Aruba habrían sumado, respectivamente, 1,19 años y 0,72 años a su esperanza de vida en el período 2005-2007. En Curaçao, el aumento hubiese sido de 2,06 años y de 2,33 años. Según el estudio, las causas específicas que más contribuyen a esta diferencia son las enfermedades circulatorias, el cáncer de mama, las complicaciones perinatales, y la nefritis/nefrosis (estas últimas dos causas solamente en Curaçao). Conclusiones. Una mejora en los servicios de salud en relación con las enfermedades circulatorias, el cáncer de mama, las complicaciones perinatales, y la nefritis/nefrosis en el Caribe holandés podría contribuir sustancialmente a la reducción de la brecha en la esperanza de vida con respecto a los Países Bajos. Por tanto, con base en nuestro estudio, recomendamos que se realicen más estudios exhaustivos a fin de determinar las intervenciones específicas y los recursos que se necesitan para optimizar las áreas de atención de salud involucradas.(AU)

RESUMO Objetivo. Identificar áreas específicas da atenção à saúde cuja otimização poderia melhorar a saúde da população nas ilhas de Aruba e Curaçao, no Caribe holandês. Métodos. Estudo observacional comparativo baseado em dados de mortalidade e populacionais das ilhas do Caribe holandês e dos Países Baixos. As tendências de mortalidade foram calculadas e então analisadas com o software Joinpoint, no período de 1988 a 2014. As expectativas de vida foram computadas usando tábuas de mortalidade resumidas com os dados disponíveis mais recentes de todos os territórios (2005-2007). As diferenças na expectativa de vida entre o Caribe holandês e os Países Baixos foram desagregadas segundo as contribuições específicas por causa usando o método de Arriaga. Resultados. No período de 1988 a 2014, os níveis de mortalidade evitável foram consistentemente mais elevados em Aruba e Curaçao do que nos Países Baixos. Em Aruba, a diferença na mortalidade evitável em comparação com os Países Baixos não mudou significativamente durante o período do estudo, enquanto que em Curaçao a diferença aumentou. Se a mortalidade por causas evitáveis fosse reduzida a níveis semelhantes aos dos Países Baixos, os homens e mulheres de Aruba teriam aumentos respectivos de 1,19 e 0,72 anos nas suas expectativas de vida durante o período 2005-2007. Em Curaçao, o aumento seria de 2,06 e 2,33 anos. As maiores contribuições de causas específicas foram as de doenças circulatórias, câncer de mama, causas perinatais e nefrite/nefrose (estas duas últimas causas somente em Curaçao). Conclusões. Melhorias nos serviços de saúde relacionados com doenças circulatórias, câncer de mama, mortes perinatais e nefrite/nefrose no Caribe holandês poderiam contribuir substancialmente para reduzir as disparidades na expectativa de vida em comparação com os Países Baixos. Com base neste trabalho, recomendamos estudos mais aprofundados para identificar as intervenções e recursos específicos necessários para otimizar estas áreas da atenção à saúde.(AU)

Health Policy Performance in 16 Caribbean States, 2010-2015.

OBJECTIVES: To determine whether Caribbean states vary in health policy performance in 11 different areas; to explore the association with sociodemographic, economical, and governance determinants; and to estimate the potential health gains of "best-practice" health policies. METHODS: We selected 50 indicators that included data on mortality (latest available, 2010-2015), intermediate outcomes, and policy implementation to calculate a state's health policy performance score. We related this score to country characteristics and calculated the potential number of avoidable deaths if the age-specific mortality rates of best-performer Martinique applied in all states. RESULTS: We found large differences in health policy performance among Caribbean states. Martinique, Cuba, and Guadeloupe had the highest performance scores, and Guyana, Belize, and Suriname the lowest. Political affiliation, religious fractionalization, corruption, national income, and population density were associated with health policy performance. If the mortality rates of Martinique applied to all Caribbean states, an overall mortality reduction of 12% would be achieved. CONCLUSIONS: Differences in health outcomes between Caribbean states are partly attributable to variations in health policy implementation. Our results suggest that many deaths can be prevented if Caribbean governments adopt best-practice policies.

Estimating disease prevalence from drug utilization data using the Random Forest algorithm.

BACKGROUND: Aggregated claims data on medication are often used as a proxy for the prevalence of diseases, especially chronic diseases. However, linkage between medication and diagnosis tend to be theory based and not very precise. Modelling disease probability at an individual level using individual level data may yield more accurate results. METHODS: Individual probabilities of having a certain chronic disease were estimated using the Random Forest (RF) algorithm. A training set was created from a general practitioners database of 276 723 cases that included diagnosis and claims data on medication. Model performance for 29 chronic diseases was evaluated using Receiver-Operator Curves, by measuring the Area Under the Curve (AUC). RESULTS: The diseases for which model performance was best were Parkinson's disease (AUC = .89, 95% CI = .77-1.00), diabetes (AUC = .87, 95% CI = .85-.90), osteoporosis (AUC = .87, 95% CI = .81-.92) and heart failure (AUC = .81, 95% CI = .74-.88). Five other diseases had an AUC >.75: asthma, chronic enteritis, COPD, epilepsy and HIV/AIDS. For 16 of 17 diseases tested, the medication categories used in theory-based algorithms were also identified by our method, however the RF models included a broader range of medications as important predictors. CONCLUSION: Data on medication use can be a useful predictor when estimating the prevalence of several chronic diseases. To improve the estimates, for a broader range of chronic diseases, research should use better training data, include more details concerning dosages and duration of prescriptions, and add related predictors like hospitalizations.

Is quality of life impairment associated with chronic diseases dependent on educational level?

BACKGROUND: Previous research indicates that quality of life impairment as a result of chronic diseases differs between socioeconomic groups, but the pattern seems to vary between health-related quality of life (HRQOL) outcomes. We tested for a one-item and a multi-item outcome whether associations between diseases and HRQOL varied between educational levels. METHODS: Data come from Dutch participants of HELIUS (N =4615, aged 18-70). Education was defined as low, middle or high. Myocardial infarction, angina pectoris, hypertension, diabetes, obesity and depressed mood were measured using physical examination and/or self-report. Outcomes were fair/poor self-rated health (SRH) and physical (PCS) and mental (MCS) SF-12 scores. Interaction terms and relative excess risk due to interaction (RERI) were used as measures of additive interaction. RESULTS: SRH and PCS were worst in lower educated participants, whereas MCS was worst in middle educated participants. Out of thirty-six interactions tested, four were statistically significant, with risks of poor HRQOL being both larger and smaller in low vs. high education groups. Obesity was associated with smaller risk of fair/poor SRH in low vs. high educated [RERI=-2.49 (-4.66; -0.33)]. Depressed mood was associated with more [b=-3.34 (-6.14; -0.54)] and hypertension with less reduction in PCS [b=1.23 (0.18; 2.27)] in middle vs. high educated. Depressed mood was highly associated with MCS, but less so in middle vs. high educated [b=4.09 (0.72; 7.47)]. CONCLUSION: Despite a higher prevalence of diseases in low education groups, if measured in absolute terms, most diseases were not associated with larger impairment of HRQOL in lower vs. higher educated groups, regardless of the outcome measure used.

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.

Evaluation of the Process of Implementing an Outdoor School Ground Smoking Ban at Secondary Schools.

BACKGROUND: Although outdoor smoking bans at school are becoming important, it remains unclear whether successful implementation is feasible and what conditions promote it. Therefore, this study evaluates the implementation process by identifying important factors. METHODS: Interviews were held with directors of 24 secondary schools that had decided to implement an outdoor school ground smoking ban, to identify important factors during implementation. Additionally, observations were made before and (about 4 weeks) after implementation to evaluate adherence to guidelines. Data were analyzed using a thematic approach. RESULTS: During implementation, the following items were important: smoking ban (eg, guidelines), school (eg, policy, enforcement, environmental factors, resources, etc), and external factors (eg, social environment). Four schools were unable to implement the ban, 20 schools implemented the ban but student adherence was low, and at 4 schools, staff members still smoked on school grounds. CONCLUSIONS: Although implementation is feasible, there are challenges. Schools need to apply a phased/dynamic process with ample lead time and clear communication of the policy. Directors should deal with offenders by strictly enforcing the ban and helping them stop smoking. This study offers information to help institutes implement an outdoor smoking ban to further protect adolescents from the harm of smoking.

Subjectively different but objectively the same? Three profiles of QoL in people with severe mental health problems.

PURPOSE: Quality of life (QoL) is a broad outcome that is often used to assess the impact of treatment and care interventions in mental health services. QoL, however, is known to be influenced by individual values and preferences. To investigate this heterogeneity on the individual level, this study aimed to distinguish classes with distinct QoL profiles in a broad group of people with severe mental health problems and to identify the QoL domains that are most strongly related to the classes. METHODS: QoL data of seven studies that used the Lancashire quality of life profile (LQoLP) were used in a latent class analysis. Sociodemographic variables, health-related variables, and measures of well-being were used to characterise the classes. Additionally, univariate entropy scores were used to assess the strength of the association between the ten LQoLP domains and the latent classes. RESULTS: Two of the three indices of fit pointed towards a three-class model. The three classes differed significantly on all of the LQoLP domains, on well-being, and on 'being in an intimate relationship'. No differences were found for the majority of the health-related and sociodemographic variables. The LQoLP domains 'family relations', 'positive self-esteem', and 'negative self-esteem' were most strongly related to the latent classes. CONCLUSIONS: The identification of three distinct classes of QoL scores re-emphasises the heterogenic nature of QoL. The lack of differences in sociodemographic or health-related characteristics between the three classes suggests that QoL is primarily determined by subjective, personal evaluations, rather than by objective characteristics and circumstances.

Worth a thousand words? Visual concept mapping of the quality of life of people with severe mental health problems.

OBJECTIVES: Conventional approaches to quality of life (QoL) measurement rely heavily on verbal, language-based communication. They require respondents to have significant cognitive and verbal ability, making them potentially unsuitable for people with severe mental health problems. To facilitate an alternative approach to QoL assessment, the current study aims to develop an alternative, visual representation of QoL for people with severe mental health problems. METHODS: An alternative, visual adaptation of the concept mapping method was used to construct this visual representation of QoL. Eighty-two participants (i.e., patients, care professionals, and family members) contributed to this study. Results were processed statistically to construct the concept map. RESULTS: The concept map contains 160 unique visual statements, grouped into 8 clusters labelled (1) Support and Attention, (2) Social Contacts, (3) Happiness and Love, (4) Relaxation and Harmony, (5) Leisure, (6) Lifestyle, (7) Finances, and (8) Health and Living. Examples of visual statements are pictures of family silhouettes, romantic couples, natural scenes, houses, sports activities, wallets and coins, smiley faces, and heart shapes. The clusters were interpreted and labelled by participants. CONCLUSIONS: Almost all of the statements correspond to clusters found in previous (non-visual) QoL research. Hence, QoL domains can also be presented visually.

The health of Antillean migrants in the Netherlands: a comparison with the health of non-migrants in both the countries of origin and destination.

Background: This article examines risk factor and health differences between Antillean migrants in the Netherlands and Antillean and Dutch non-migrants, and relates these findings to four commonly used explanations for migrant health disparities. Methods: Nationally representative data from the 2012 Dutch Public Health Monitor and the 2013 National Health Survey Curaçao was used. The weighted rates were calculated and significance assessed using the χ2 test. Logistic regression analyses were used to compare health behaviours and outcomes between Antillean migrants and the non-migrant populations. Results: Overall, Antillean migrants had poorer physical and mental health than Antillean and Dutch non-migrants. For overweight/obesity and tobacco and alcohol use, Antillean migrants had rates in-between those of the Antillean and Dutch non-migrants. The poor health of Antillean migrants persisted in the second generation, who were born in the Netherlands. Conclusions: Patterns of differences in physical and mental health among the study populations were suggestive of a 'stressful environment' effect. The poorer health of Antillean migrants may be partly determined by host-country-specific stressors, such as perceived discrimination, spatial concentration in multi-ethnic neighbourhoods and reduced social mobility.

Do conceptualisations of health differ across social strata? A concept mapping study among lay people.

OBJECTIVES: The legitimacy of policies that aim at tackling socioeconomic inequalities in health can be challenged if they do not reflect the conceptualisations of health that are valued in all strata. Therefore, this study analyses how different socioeconomic groups formulate their own answers regarding: what does health mean to you? DESIGN: Concept mapping procedures were performed in three groups that differ in educational level. All procedures followed exactly the same design. SETTING: Area of the city of Utrecht, the Netherlands. PARTICIPANTS: Lay persons with a lower, intermediate and higher educational level (±15/group). RESULTS: The concept maps for the three groups consisted of nine, eight and seven clusters each, respectively. Four clusters occurred in all groups: absence of disease/disabilities, health-related behaviours, social life, attitude towards life. The content of some of these differed between groups, for example, behaviours were interpreted as having opportunities to behave healthily in the lower education group, and in terms of their impact on health in the higher education group. Other clusters appeared to be specific for particular groups, such as autonomy (intermediate/higher education group). Finally, ranking ranged from a higher ranking of the positively formulated aspects in the higher education group (eg, lust for life) to that of the negatively formulated aspects in the lower education group (eg, having no chronic disease). CONCLUSION: Our results provide indications to suggest that people in lower socioeconomic groups are more likely to show a conceptualisation of health that refers to (1) the absence of health threats (vs positive aspects), (2) a person within his/her circumstances (vs quality of own body/mind), (3) the value of functional (vs hedonistic) notions and (4) an accepting (vs active) attitude towards life.

Towards local implementation of Dutch health policy guidelines: a concept-mapping approach.

To develop a targeted implementation strategy for a municipal health policy guideline, implementation targets of two guideline users [Regional Health Services (RHSs)] and guideline developers of leading national health institutes were made explicit. Therefore, characteristics of successful implementation of the guideline were identified. Differences and similarities in perceptions of these characteristics between RHSs and developers were explored. Separate concept mapping procedures were executed in two RHSs, one with representatives from partner local health organizations and municipalities, the second with RHS members only. A third map was conducted with the developers of the guideline. All mapping procedures followed the same design of generating statements up to interpretation of results with participants. Concept mapping, as a practical implementation tool, will be discussed in the context of international research literature on guideline implementation in public health. Guideline developers consider implementation successful when substantive components (health issues) of the guidelines, content are visible in local policy practice. RHSs, local organizations and municipalities view the implementation process itself within and between organizations as more relevant, and state that usability of the guideline for municipal policy and commitment by officials and municipal managers are critical targets for successful implementation. Between the RHSs, differences in implementation targets were smaller than between RHSs and guideline developers. For successful implementation, RHSs tend to focus on process targets while developers focus more on the thematic contents of the guideline. Implications of these different orientations for implementation strategies are dealt with in the discussion.

Determinants of first-time utilization of long-term care services in the Netherlands: an observational record linkage study.

BACKGROUND: Since in an ageing society more long-term care (LTC) facilities are needed, it is important to understand the main determinants of first-time utilization of (LTC) services. METHODS: The Andersen service model, which distinguishes predisposing, enabling and need factors, was used to develop a model for first-time utilization of LTC services among the general population of the Netherlands. We used data on 214,821 persons registered in a database of general practitioners (NIVEL Primary Care Database). For each person the medical history was known, as well as characteristics such as ethnicity, income, home-ownership, and marital status. Utilization data from the national register on long-term care was linked at a personal level. Generalized Linear Models were used to determine the relative importance of factors of incident LTC-service utilization. RESULTS: Top 5 determinants of LTC are need, measured as the presence of chronic diseases, age, household size, household income and homeownership. When controlling for all other determinants, the presence of an additional chronic disease increases the probability of utilizing any LTC service by 45% among the 20+ population (OR = 1.45, 95% CI: 1.41-1.49), and 31% among the 65+ population (OR = 1.31, 95% CI: 1.27-1.36). With respect to the 20+ population, living in social rent (OR = 2.45, 95% CI = 2.25-2.67, ref. = home-owner) had a large impact on utilizing any LTC service. In a lesser degree this was the case for living alone (OR = 1.63, 95% CI = 1.52-1.75, ref. = not living alone). A higher household income was linked with a lower utilization of any LTC service. CONCLUSIONS: All three factors of the Anderson model, predisposing, enabling, and need determinants influence the likelihood of future LTC service utilization. This implies that none of these factors can be left out of the analysis of what determines this use. New in our analysis is the focus on incident utilization. This provides a better estimate of the effects of predictors than a prevalence based analysis, as there is less confounding by changes in determinants occurring after LTC initiation. Especially the need of care is a strong factor. A policy implication of this relative importance of health status is therefore that LTC reforms should take health aspects into account.

The impact of urban regeneration programmes on health and health-related behaviour: Evaluation of the Dutch District Approach 6.5 years from the start.

BACKGROUND: Large-scale regeneration programmes to improve the personal conditions and living circumstances in deprived areas may affect health and the lifestyle of the residents. Previous evaluations concluded that a large-scale urban regeneration programme in the Netherlands had some positive effects within 3.5 years. The aim of the current study was to evaluate the effects at the longer run. METHODS: With a quasi-experimental research design we assessed changes in the prevalence of general health, mental health, physical activity, overweight, obesity, and smoking between the pre-intervention (2003-04 -mid 2008) and intervention period (mid 2008-2013-14) in 40 deprived target districts and comparably deprived control districts. We used the Difference-in-Difference (DiD) to assess programme impact. Additionally, we stratified analyses by sex and by the intensity of the regeneration programme. RESULTS: Changes in health and health related behaviours from pre-intervention to the intervention period were about equally large in the target districts as in control districts. DiD impact estimates were inconsistent and not statistically significant. Sex differences in DiD estimates were not consistent or significant. Furthermore, DiD impact estimates were not consistently larger in target districts with more intensive intervention programmes. CONCLUSION: We found no evidence that this Dutch urban regeneration programme had an impact in the longer run on self-reported health and related behaviour at the area level.

Unravelling networks in local public health policymaking in three European countries - a systems analysis.

BACKGROUND: Facilitating and enhancing interaction between stakeholders involved in the policymaking process to stimulate collaboration and use of evidence, is important to foster the development of effective Health Enhancing Physical Activity (HEPA) policies. Performing an analysis of real-world policymaking processes will help reveal the complexity of a network of stakeholders. Therefore, the main objectives were to unravel the stakeholder network in the policy process by conducting three systems analyses, and to increase insight into the similarities and differences in the policy processes of these European country cases. METHODS: A systems analysis of the local HEPA policymaking process was performed in three European countries involved in the 'REsearch into POlicy to enhance Physical Activity' (REPOPA) project, resulting in three schematic models showing the main stakeholders and their relationships. The models were used to compare the systems, focusing on implications with respect to collaboration and use of evidence in local HEPA policymaking. Policy documents and relevant webpages were examined and main stakeholders were interviewed. RESULTS: The systems analysis in each country identified the main stakeholders involved and their position and relations in the policymaking process. The Netherlands and Denmark were the most similar and both differed most from Romania, especially at the level of accountability of the local public authorities for local HEPA policymaking. The categories of driving forces underlying the relations between stakeholders were formal relations, informal interaction and knowledge exchange. CONCLUSIONS: A systems analysis providing detailed descriptions of positions and relations in the stakeholder network in local level HEPA policymaking is rather unique in this area. The analyses are useful when a need arises for increased interaction, collaboration and use of knowledge between stakeholders in the local HEPA network, as they provide an overview of the stakeholders involved and their mutual relations. This information can be an important starting point to enhance the uptake of evidence and build more effective public health policies.

Concept mapping as a method to enhance evidence-based public health.

In this paper we explore the suitability of concept mapping as a method for integrating knowledge from science, practice, and policy. In earlier research we described and analysed five cases of concept mapping procedures in the Netherlands, serving different purposes and fields in public health. In the current paper, seven new concept mapping studies of co-produced work are added to extend this analysis. For each of these twelve studies we analysed: (1) how the method was able to integrate knowledge from practice with scientific knowledge by facilitating dialogue and collaboration between different stakeholders in the field of public health, such as academic researchers, practitioners, policy-makers and the public; (2) how the method was able to bring theory development a step further (scientific relevance); and (3) how the method was able to act as a sound basis for practical decision-making (practical relevance). Based on the answers to these research questions, all but one study was considered useful for building more evidence-based public health, even though the extent to which they underpinned actual decision-making varied. The chance of actually being implemented in practice seems strongly related to the extent to which the responsible decision-makers are involved in the way the concept map is prepared and executed.