Assessing European national health information systems in peer review format: lessons learnt.

BACKGROUND: Systematic assessments of a country's health information system (HIS) help identify strengths and weaknesses and may stimulate actions for improvement. They represent a capacity-building process for the country assessed as well as for the assessor. The joint action on HISs (InfAct) developed a peer-to-peer assessment methodology adapting an established WHO support tool. The aim of this study is to identify lessons learnt and the added value of the InfAct peer assessment for the assessors. METHODS: A qualitative evaluation of the peer HIS assessment was performed based on 12 semi-structured interviews: nine interviews were carried out with assessors from nine participating countries, and three with an observer (present during assessments). The interviews were carried out between May 2019 and January 2020. Interviews were analysed using qualitative content analysis. RESULTS: The interviews revealed the experiences of the assessors mainly occurred in five areas: assessors strengthened their understanding of what a population-based HIS is; they strengthened their understanding of how a HIS operates in different countries; they learnt how to carry out a HIS assessment; they strengthened their organization, communication, negotiation and reporting skills and they strengthened the networks in health information within and between countries. CONCLUSION: Since the assessors are key personnel in their respective national health systems, the impact of the assessment is not limited to the assessor alone but may extend to stakeholders in their country. The deployment of the InfAct HIS peer assessment, anchored in systematic HIS capacity building across European countries, is recommended.

Examining preconditions for integrated care: a comparative social network analysis of the structure and dynamics of strong relations in child service networks.

BACKGROUND: To help ensure that children and families get the right support and services at the right time, strong and stable relationships between various child service organizations are vital. Moreover, strong and stable relationships and a key network position for gatekeepers are important preconditions for interprofessional collaboration, the timely and appropriate referral of clients, and improved health outcomes. Gatekeepers are organizations that have specific legal authorizations regarding client referral. However, it is largely unclear how strong relations in child service networks are structured, whether the gatekeepers have strong and stable relationships, and what the critical relations in the overall structure are. The aim of this study is to explore these preconditions for integrated care by examining the internal structure and dynamics of strong relations. METHODS: A comparative case study approach and social network analysis of three inter-organizational networks consisting of 65 to 135 organizations within the Dutch child service system. Multiple network measures (number of active organizations, isolates, relations, average degree centrality, Lambda sets) were used to examine the strong relation structure and dynamics of the networks. Ucinet was used to analyze the data, with use of the statistical test: Quadratic Assignment Procedure. Visone was used to visualize the graphs of the networks. RESULTS: This study shows that more than 80% of the organizations in the networks have strong relations. A striking finding is the extremely high number of strong relations that gatekeepers need to maintain. Moreover, the results show that the most important gatekeepers have key positions, and their strong relations are relatively stable. By contrast, considering the whole network, we also found a considerable measure of instability in strong relationships, which means that child service networks must cope with major internal dynamics. CONCLUSIONS: Our study addressed crucial preconditions for integrated care. The extremely high number of strong relations that particularly gatekeepers need to build and maintain, in combination with the considerable instability of strong relations considering the whole network, is a serious point of concern that need to be managed, in order to enable child service networks to improve internal coordination and integration of service delivery.

HIGHLIGHTS: More than 80% of the organizations in the network has strong relations.Gatekeepers need to maintain an extremely high number of strong relations.Child service networks need to cope with major internal dynamics.These insights offer leads for optimizing how a network functions.

Capacity building in European health information systems: the InfAct peer assessment methodology.

BACKGROUND: A Health Information System (HIS) assessment is an evaluation of the functioning of the main elements that compose a national HIS. Assessors from nine countries performed peer assessments of each other's national HIS in the Joint Action on Health Information (InfAct). The aim of this study is to evaluate the advantages and disadvantages of the InfAct peer assessment methodology as well as the different steps involved in this assessment process. METHODS: Each peer assessment included a preparatory desk report, a country visit with semi-structured interviews with local stakeholders, a final report and a follow-up stakeholder meeting. A qualitative content analysis of the peer HIS assessment was performed based on 12 semi-structured interviews. RESULTS: The main advantage of the assessments is its informal atmosphere, high degree of objectiveness and its networking opportunities. Disadvantages are its informal request format and setting for recommendation uptake. The peer assessment helped the assessors to broaden their understanding of the assessed and their own HISs, to gain knowledge on how to carry out an HIS assessment and to practice their organization, communication, reporting and negotiation skills. All steps of the HIS assessment are essential and each contributes to the enriching experience of the participants. CONCLUSION: The InfAct peer HIS assessment methodology strengthened capacity in national HISs by building up the knowledge and expertise in participating countries and as such addressed health information inequalities. This study confirms the value and relatively easy to implement methodology, and therefore recommends its wide and more systematic application across Europe.

Intersectoral collaboration at a decentralized level: information flows in child welfare and healthcare networks.

BACKGROUND: As needs of families with social and behavioral health problems often exceed the expertise and possibilities of a single professional, service or organization, cross-service collaboration is indispensable to adequately meeting those needs. Despite the progressive focus on organizing integrated care, service fragmentation and service duplication remain persistent problems in child welfare and healthcare service delivery systems. A crucial factor to overcome these problems is information exchange between organizations. This study explores and compares the development over time of structures of information exchange in networks, concerning both material and knowledge-based information. METHODS: A comparative case study and social network analysis of three inter-organizational networks of child welfare and healthcare services in different-sized municipalities in the Netherlands. The research population consisted of organizations from various sectors participating in the networks. Data were collected at two moments in time with a mixed method: semi-structured interviews with network managers and an online questionnaire for all network members. Density and degree centralization were used to examine the information exchange structures. Ucinet was used to analyze the data, with use of the statistical tests: Compare Density Procedure and Quadratic Assignment Procedure. RESULTS: This study shows that different structures of information exchange can be distinguished, concerning both material and knowledge-based information. The overall connectedness of the studied structures of the networks are quite similar, but the way in which the involvement is structured turns out to be different between the networks. Over time, the overall connectedness of those structures appears to be stable, but the internal dynamics reveals a major change in relationships between organizations in the networks. CONCLUSIONS: Our study yields empirical evidence for the existence of and the differences between structures and dynamics of both material and knowledge-based information exchange relationships. With a loss of more than a half of the relations in a year, the relationships between the organizations in the network are not very stable over time. The contrast between major internal dynamics and the stable overall connectedness is an important point of concern for network managers and public officials, since this impermanence of relations means that long-term integrated care cannot be guaranteed.

To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study.

BACKGROUND: Self-rated health (SRH), an attractive measure for health monitoring, shows persistent inequalities with regard to socioeconomic status (SES). However, knowledge on the extent to which inequalities in SRH reflect inequalities in disease burden is lacking. METHODS: Data come from the multi-ethnic HEalthy LIfe in an Urban Setting study (Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish or Moroccan origin, N = 19 379, aged 18-70). SES was defined by educational and occupational level. Disease burden was operationalized as chronic diseases, physical and mental functioning (measured with SF-12) and depressive symptoms (measured with PHQ-9). We applied logistic regression analyses and reported average marginal effects (AME). RESULTS: Dutch origin participants with low educational or low occupational level had higher probabilities of reporting fair/poor SRH, compared to the highest levels (AME = 0.20 95% CI: 0.13;0.27; and 0.12 (0.09;0.15), respectively). Associations were attenuated after adjusting for all disease burden indicators, to AME = 0.03 (0.01;0.04) and AME = 0.02 (-0.00;0.04). In all the non-Dutch origin groups, a larger part of the inequalities remained after adjustment. CONCLUSION: Socioeconomic inequalities in SRH are for a large part explained by higher disease burden in lower socioeconomic groups, but less so in those with non-Dutch origin. Future research should examine if our conclusions also hold for trend data on inequalities in SRH.

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.

Four normative perspectives on public health policy-making and their preferences for bodies of evidence.

Calls for evidence-informed public health policy-making often ignore that there are multiple, and often competing, bodies of potentially relevant evidence to which policy-makers have recourse in identifying policy priorities and taking decisions. In this paper, we illustrate how policy frames may favour the use of specific bodies of evidence. For the sixth Dutch Public Health Status and Foresight report (2014), possible future trends in population health and healthcare expenditure were used as a starting point for a deliberative dialogue with stakeholders to identify and formulate the most important societal challenges for the Dutch health system. Working with these stakeholders, we expanded these societal challenges into four normative perspectives on public health. These perspectives can be regarded as policy frames. In each of the perspectives, a specific body of evidence is favoured and other types of evidence are neglected. Crucial outcomes in one body may be regarded as irrelevant from other perspectives. Consequently, the results of research from a single body of evidence may not be helpful in the policy-making processes because policy-makers need to account for trade-offs between all competing interests and values. To support these policy processes, researchers need to combine qualitative and quantitative methodologies to address different outcomes from the start of their studies. We feel it is time for the research community to re-politicise the idea of evidence use and for policy-makers to demand research that helps them to account for all health-related policy goals. This is a prerequisite for real evidence-informed policy-making.

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.

Population health monitoring: an essential public health field in motion.

BACKGROUND: Population health monitoring, the regular and institutionalized production and dissemination of information and knowledge about the health status of a population, is an essential element of public health. Nevertheless, while epidemiology and biostatistics, for example, are well-recognized disciplines, this does not (yet) apply to population health monitoring. Over the past decade, however, it has matured as a distinct field of expertise. OBJECTIVES: This paper presents a comprehensive model for population health monitoring and describes its current status as a field of expertise. It concludes with an overview of the most important developments that are likely to shape the health information systems and population health monitoring practices of the future. RESULTS AND CONCLUSIONS: Combining the information pyramid (an application of the data-information-knowledge-wisdom hierarchy), describing outputs, and a so-called monitoring chain, describing activities, results in a comprehensive model for population health monitoring. The steps of the activity chain can be viewed as a stairway by which the information pyramid is climbed, reaching evidence-informed policymaking at the top. Population health monitoring has several inherent strengths, such as its high societal relevance; its integrative, comprehensive, and structured approach; and the fact that it makes use of routinely collected data. In practice, however, secondary use of routine data is often hampered by technical, motivational, economic, political, ethical, and legal barriers. Important developments that will shape health information systems and population health monitoring practices of the future include digitalization and data-driven technology, citizen science, and the growing need for intersectoral approaches. Population health monitoring practice will need to adapt in order to counteract the risks and reap the benefits that these developments hold.

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.

Assessing the role of criminality in neighbourhood safety feelings and self-reported health: results from a cross-sectional study in a Dutch municipality.

BACKGROUND: Neighbourhood safety has repeatedly been shown to be associated with the health and well-being of the residents. Criminality is often seen as one of the key factors affecting neighbourhood safety. However, the relationship between crime, fear of crime and feelings of safety remains underexplored. METHODS: Data on socio-demographic, health and safety perceptions was extracted from the Maastricht municipality survey (the Netherlands) (n = 9656 adults) and merged with data on official neighbourhood crime rates from the Police Registry. Pearson correlation coefficients and multilevel logistic regression models were computed to assess the association between aspects of objective and perceived criminality, individuals' feelings of safety and health. RESULTS: The correlation between the police recorded crime and residents' perceptions of the neighbourhood crime rates was weak (0.14-0.38), with the exception of violent crime (0.59), which indicates that other factors contribute to the perceptions of safety. In turn, the perception of higher rates of violent crime and more nuisance (on the scale 0-10) but not other types of crime or nuisance was positively associated with feeling unsafe (OR 1.27 [1.22;1.32] and 1.39 [1.33;1.46], respectively). Lower general feelings of safety at both the individual and neighbourhood level were consistently associated with worse self-rated health. Among different indicators of safety, the general feelings of safety had the most pronounced association with health, while subjective or objective measures of crime showed limited to no direct relationship with health. CONCLUSIONS: Public health policies targeting safety as a social determinant of health should consider prioritizing areas of violent crime and nuisance to improve general feelings of safety. Further research is needed to understand which factors aside from criminality are driving residents' feelings of safety.

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.

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.

How executives' expectations and experiences shape population health management strategies.

BACKGROUND: Within Population Health Management (PHM) initiatives, stakeholders from various sectors apply PHM strategies, via which services are reorganised and integrated in order to improve population health and quality of care while reducing cost growth. This study unravelled how stakeholders' expectations and prior experiences influenced stakeholders intended PHM strategies. METHODS: This study used realist principles. Nine Dutch PHM initiatives participated. Seventy stakeholders (mainly executive level) from seven different stakeholder groups (healthcare insurers, hospitals, primary care groups, municipalities, patient representative organisations, regional businesses and program managers of the PHM initiatives) were interviewed. Associations between expectations, prior experiences and intended strategies of the various stakeholder groups were identified through analyses of the interviews. RESULTS: Stakeholders' expectations, their underlying explanations and intended strategies could be categorized into four themes: 1. Regional collaboration; 2. Governance structures and stakeholder roles; 3. Regional learning environments, and 4. Financial and regulative conditions. Stakeholders agreed on the long-term expectations of PHM development. Differences in short- and middle-term expectations, and prior experiences were identified between stakeholder groups and within the stakeholder group healthcare insurers. These differences influenced stakeholders' intended strategies. For instance, healthcare insurers that intended to stay close to the business of care had encountered barriers in pushing PHM e.g. lack of data insight, and expected that staying in control of the purchasing process was the best way to achieve value for money. Healthcare insurers that were more keen to invest in experiments with data-technology, new forms of payment and accountability had encountered positive experiences in establishing regional responsibility and expected this to be a strong driver for establishing improvements in regional health and a vital and economic competitive region. CONCLUSION: This is the first study that revealed insight into the differences and similarities between stakeholder groups' expectations, experiences and intended strategies. These insights can be used to improve the pivotal cooperation within and between stakeholder groups for PHM.

E-cigarette and waterpipe use in two adolescent cohorts: cross-sectional and longitudinal associations with conventional cigarette smoking.

Alternative tobacco products are increasing in popularity. An important question is whether their use is associated with or even leads to conventional smoking, but large-scale (European) studies are scarce. In two cohorts of Dutch adolescents (Cohort I n = 6819, mean age = 13.8 SD = 1.1, 48.2% female; Cohort II n = 2758, mean age = 17.3 SD = 1.8, 61.3% female), we investigated use of electronic (e)-cigarettes with nicotine, e-cigarettes without nicotine and waterpipe. Generalized estimating equation modelling was conducted with ever conventional smoking as the dependent variable (0 = no, 1 = yes) and ever alternative tobacco use as the independent variable, correcting for clustering within schools, age, sex and education in both cohorts. In a subsample (n = 2100), the association between alternative tobacco use at baseline and conventional smoking 6 months later was tested, taking into account smoking propensity (based on personality, susceptibility to peer pressure and smoking intentions). Ever use prevalence was 13.7% for e-cigarettes with nicotine, 29.4% for e-cigarettes without nicotine and 22.1% for waterpipe in Cohort I and 12.3, 27.6 and 45.3% respectively in Cohort II. Ever smokers had tried alternative tobacco products more often than never smokers. Among never-smoking adolescents at baseline, alternative tobacco use predicted ever smoking 6 months later (e-cigarettes with nicotine OR 11.90 95% CI 3.36-42.11; e-cigarettes without nicotine OR 5.36 95% CI 2.73-10.52; waterpipe OR 5.36 95% CI 2.78-10.31). This association was strongest for adolescents with a low baseline risk of smoking. Experimenting with alternative tobacco products is common among Dutch youth. Alternative tobacco use predicts (future) smoking, especially among adolescents with a low smoking propensity.

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.

Citizen Science for public health.

Community engagement in public health policy is easier said than done. One reason is that public health policy is produced in a complex process resulting in policies that may appear not to link up to citizen perspectives. We therefore address the central question as to whether citizen engagement in knowledge production could enable inclusive health policy making. Building on non-health work fields, we describe different types of citizen engagement in scientific research, or 'Citizen Science'. We describe the challenges that Citizen Science poses for public health, and how these could be addressed. Despite these challenges, we expect that Citizen Science or similar approaches such as participatory action research and 'popular epidemiology' may yield better knowledge, empowered communities, and improved community health. We provide a draft framework to enable evaluation of Citizen Science in practice, consisting of a descriptive typology of different kinds of Citizen Science and a causal framework that shows how Citizen Science in public health might benefit both the knowledge produced as well as the 'Citizen Scientists' as active participants.

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.

Towards an overarching European health information system.

A European health information system (HIS) supports mutual learning between member states through international comparisons. In addition, it informs international policy agendas. Collaboration between the major stakeholders, most importantly the World Health Organization Regional Office for Europe (WHO-Euro), the European Commission and OECD, is important for member states, as this will contribute to better and more efficiently produced health intelligence. This paper focuses on this 'supra-international' collaboration. Although progress has been made, most notably in relation to joint data collections on monetary and non-monetary healthcare statistics, there is still room for improvement, both in relation to the harmonization of indicators and their underlying data collections, and the better coordination of reporting and research and development work. The working environment is complex, and differences between the (scope of the) health information activities of the three international organizations must be accepted. Yet there is enough common ground to build on. In addition, important barriers hampering further progress are the current semantic confusion about what constitutes a(n international) HIS, and inadequate coordination of national positions across various technical and political platforms of the international organizations. A pragmatic, bottom-up approach, instead of technically and strategically complex and comprehensive solutions, seems the best way forward. The current momentum created by EU-level developments and networks like the European Health Information Initiative of WHO-Euro provide an opportunity for taking the overarching European HIS to a next level.

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.