Educational inequalities in major depressive disorder prevalence, timing and duration among adults over the life course: a microsimulation analysis based on the Lifelines Cohort Study.

BACKGROUND: Educational inequalities in major depressive disorder (MDD) pose a major challenge. Tackling this issue requires evidence on the long-term impact of intervening on modifiable factors, for example lifestyle and psychosocial factors. For this reason, we aimed to simulate the development of educational inequalities in MDD across the life course, and to estimate the potential impact of intervening on modifiable factors. METHODS: We used data from the prospective Dutch Lifelines Cohort Study to estimate the required input for a continuous-time microsimulation. The microsimulation allowed us to project the development of educational inequalities in MDD between ages 18 and 65, and to assess the potential benefit of intervening on quality of social contacts, health literacy and smoking. RESULTS: On average, an additional 19.1% of individuals with low education will ever experience MDD between ages 18 and 65 compared with those with high education. Additionally, individuals with low education generally will develop MDD 0.9 years earlier and spend 1.2 years more with MDD, than individuals with high education. Improving the quality of social contacts in individuals with low education produced the largest effect; it would reduce the inequalities in the prevalence, onset and duration of MDD by an average of 18.4%, 18.3% and 28.6%, respectively. CONCLUSIONS: Intervening on modifiable factors, particularly quality of social contacts, in individuals with low education could help reduce the estimated educational inequalities in MDD over the life course.

Diverging death risks: Mortality as a corollary of economic, social, cultural and person capital.

Introduction: Diverging death risks are associated with a wide range of social factors, including not only education and income but also other economic and non-economic resources. The aim of this study was to assess the association of mortality risks with four types of resources: economic, social, cultural and person capital. Methods: We used data of 2,952 participants from the Disparities in the Netherlands survey and annual mortality data from Statistics Netherlands for the period 2014 to 2021. Economic capital was measured through education, income, occupation, home equity, and liquid assets. Social capital was measured by the strength of social ties, the size of the core discussion network, and access to people in resourceful positions; cultural capital by lifestyle, digital skills, and mastery of English, and person capital by self-rated health, impediments to climbing stairs, self-confidence, self-image, people's appearance, and body mass index. To accommodate the fact that each capital was derived from several indicators, we used Partial Least Squares (PLS) Cox Regression. Results: In multiple regression, higher economic, cultural, and person capital were associated with lower mortality (hazard ratio, 0.77; 95% confidence interval [CI, 0.65 to 0.90], 0.77 [0.64-0.93] and 0.80; [0.70-0.92]), adjusted for all capital measures and sex. Conclusion: The finding that more economic, cultural and person capital is associated with lower mortality provides empirical support for an approach that uses a broad spectrum of capital measures - hitherto rarely included simultaneously in epidemiological research - in order to understand diverging death risks. By integrating sociological concepts, cohort data, and epidemiological research methods, our study highlights the need for further research on the interplay between different forms of resources in shaping health inequalities. In designing public health interventions, we advocate the adoption of a multidimensional capital-based framework for tackling social disparities in mortality.

Socioeconomic inequalities in paediatric metabolic syndrome: mediation by parental health literacy.

BACKGROUND: Parental health literacy may explain the relationship between parental socioeconomic status (SES) and paediatric metabolic syndrome (MetS). For this reason, we assessed to what extent parental health literacy mediates the relationships between parental SES and paediatric MetS. METHODS: We used data from the prospective multigenerational Dutch Lifelines Cohort Study. Our sample consisted of 6683 children with an average follow-up of 36.2 months (SD 9.3) and a mean baseline age of 12.8 years (SD 2.6). We used natural effects models to assess the natural direct, natural indirect and total effects of parental SES on MetS. RESULTS: On average, an additional 4 years of parental education, e.g. university instead of secondary school, would lead to continuous MetS (cMetS) scores that were 0.499 (95% confidence interval (CI): 0.364-0.635) units lower, which is a small effect (d: 0.18). If parental income and occupational level were 1 SD higher, on average cMetS scores were 0.136 (95% CI: 0.052-0.219) and 0.196 (95% CI: 0.108-0.284) units lower, respectively; these are both small effects (d: 0.05 and 0.07, respectively). Parental health literacy partially mediated these pathways; it accounted for 6.7% (education), 11.8% (income) and 8.3% (occupation) of the total effect of parental SES on paediatric MetS. CONCLUSIONS: Socioeconomic differences in paediatric MetS are relatively small, the largest being by parental education. Improving parental health literacy may reduce these inequalities. Further research is needed into the mediating role of parental health literacy on other socioeconomic health inequalities in children.

A capital-based approach to better understand health inequalities: Theoretical and empirical explorations.

Background: The persistence of health inequalities may be driven by differences in education and income, but also by other economic and non-economic factors. Our aim was to explore how the association between single-dimensional health and socioeconomic status (SES) changes when including health-related person capital, economic capital, social capital, cultural capital and attractiveness and personality capital. Methods: We used a capital-based approach to understand health inequalities. It presumes intertwined relationships between broadly measured health ('health-related person capital') and embodied resources ('attractiveness and personality capital') on the one hand, and ESC capital, i.e., economic, social, and cultural resources on the other. We used cross-sectional data on 152,592 participants from the Dutch Lifelines cohort study and estimated correlations using partial least squares structural equation modelling. Results: The correlation between SES and health-related person capital (r = 0.15) was stronger than the correlations between SES and single-dimensional health (physical and mental health; r = 0.12 and r = 0.04, respectively). ESC capital, combining economic, social and cultural capital, showed a correlation of 0.34 with health-related person capital. This was stronger than the correlation between health-related person capital and economic capital alone (r = 0.19). Lastly, the correlation between health-related person capital and ESC capital increased when health related, attractiveness and personality resources were combined into a single person capital construct (from r = 0.34 to r = 0.49). Conclusions: This exploratory study shows the empirical interconnectedness of various types of resources, and their potential role in the persistence of health inequalities. Our findings corroborate the idea of considering health as a multidimensional concept, and to extend conventional SES indicators to a broader measurement of economic and non-economic resources.

Promoting Mental Health Help-Seeking Behaviors by Mental Health Literacy Interventions in Secondary Education? Needs and Perspectives of Adolescents and Educational Professionals.

Mental health literacy (MHL) interventions in secondary schools may help to improve competencies that adolescents require to stay mentally healthy and seek help if mental health problems arise. These MHL interventions should be tailored to the needs of adolescents and educational professionals (EPs) to reach sustainable implementation and long-term effectiveness. However, evidence is lacking on these needs. Thus, our aim was to explore their experiences with, and perspectives on, mental health help seeking and needs regarding MHL interventions. We performed online focus group discussions and interviews with adolescents (n = 21; 13-19 years) and EPs (n = 12) and analyzed the data using directed content analysis. We identified three themes related to mental health help seeking: (1) Limited MHL competencies of adolescents, (2) Limited competencies of EP to provide mental health support, and (3) Limited mental health promotion in the school environment. We further identified three themes regarding MHL interventions: (1) Addressing basic mental health knowledge and skills, (2) Interactive and easily accessible, and (3) Sustainable implementation. Improving the MHL competencies of adolescents and EPs, and creating a mental health-literate school environment can promote adolescents' mental health help seeking. Our findings highlight the importance of developing MHL interventions that are tailored to both adolescents' and EPs needs.

Increases in symptoms of depression and anxiety in adults during the initial phases of the COVID-19 pandemic are limited to those with less resources: Results from the Lifelines Cohort Study.

BACKGROUND: The COVID-19 pandemic may have a differential impact on mental health based on an individual's capital, i.e. resources available to maintain and enhance health. We assessed trajectories of depression and anxiety symptoms, and their association with different elements of capital. METHODS: Data on 65,854 individuals (mean baseline age = 50·4 (SD = 12·0) years) from the Lifelines COVID-19 cohort were used. Baseline mental health symptoms were on average measured 4.7 (SD = 1·1) years before the first COVID-19 measurement wave, and subsequent waves were (bi)weekly (March 30─August 05, 2020). Mental health symptom trajectories were estimated using a two-part Latent Class Growth Analysis. Class membership was predicted by economic (education, income, and occupation) and person capital (neuroticism, poor health condition, and obesity) FINDINGS: Most individuals were unlikely to report symptoms of depression (80·6%) or anxiety (75·9%), but stable-high classes were identified for both conditions (1·6% and 6·7%, respectively). The stable-high depression class saw the greatest increase in symptoms after COVID, and the stable-high anxiety class reported an increase in the probability of reporting symptoms after COVID. At the first COVID-measurement, the mean number of symptoms increased compared to baseline (depression:4·7 vs 4·1; anxiety:4·3 vs 4·2); the probability of reporting symptoms also increased (depression:0·96 vs 0·65; anxiety:0·92 vs 0·70). Membership in these classes was generally predicted by less capital, especially person capital; odds ratios for person capital ranged from 1·10-2·22 for depression and 1·08-1·51 for anxiety. INTERPRETATION: A minority of individuals, possessing less capital, reported an increase in symptoms of depression or anxiety after COVID. FUNDING: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Developmental monitoring: benefits of a preventive health care system.

This study aims to assess the identification rates in a developmental monitoring system (i.e., preventive child healthcare, PCH system) regarding identification of emotional, behavioral (EB) problems, cognitive developmental and family problems in children, and the contribution of such a system to referral to (specialized) mental health and social care services. Over a predetermined period of 6 months, we retrieved data from a random sample of 1370 children aged 0 to 18 years from the registries of two PCH organizations in the Netherlands. We assessed the degree to which PCH professionals identify EB and cognitive developmental and family problems and invite children with these problems for follow-up PCH assessments or refer them to (specialized) mental health and social care services. Among preschool-aged children, we identified 22% with EB problems, cognitive developmental and/or family problems (mainly EB and family problems). Among school-aged children, numbers varied from 10 to 14% (mainly EB). PCH invited 3 to 10%, varying in proportions of child age, for a follow-up assessment, and referred 0 to 4% of the children to external services. CONCLUSION: A developmental monitoring system with only preventive tasks may help to identify children with EB, cognitive developmental, and/or family problems. This can lead to early support for most of these children, with low referral rates to (more specialized) mental health and social care services. Our findings deserve validation in comparable settings and in other countries. WHAT IS KNOWN: • Well-child care requires monitoring of the health and development of children for timely identification of problems and subsequent intervention. • The Dutch Preventive Child Healthcare system is an example of a developmental monitoring system with only preventive tasks. WHAT IS NEW: • A developmental monitoring system with only preventive tasks may help to identify children with problems, resulting in early support for the majority. • This may reduce referral rates to (more specialized) mental/social health services.

How to make healthy early childhood development more likely in marginalized Roma communities: a concept mapping approach.

BACKGROUND: This study aims to assess which measures could improve the healthy early childhood development of children from marginalized Roma communities and to identify priority measures. METHODS: Concept mapping approach was used, using mixed methods. In total 54 professionals, including social workers, educators, health care providers, municipality representatives, and project managers participated in our study. RESULTS: Four distinct clusters of measures targeting living conditions, public resources, healthcare and community interventions, and 27 individual priority measures of highest urgency and feasibility were identified. The cluster 'Targeting living conditions', was rated as the most urgent but least feasible, whereas the cluster 'Targeting health care', was considered least urgent but most feasible. Among the 27 priority measures, 'Planning parenthood' and 'Scaling up existing projects' had the highest priority. CONCLUSION: Our results reflect the public and political discourse and indicate significant barriers to implementation. Reducing inequalities in early childhood needs to be addressed through coordinated efforts.

Validity of data collection methods for time spent, professional involvement and treatment volume for the purpose of cost-effectiveness studies in dentistry.

OBJECTIVES: Economic evaluations can support provision of adequate and affordable oral care, requiring valid information on costs. The aim was to assess the validity of (a) patients' self-report (PS) and routine electronic patient records (EPR) regarding time spent per visit and (b) PS regarding types of treatment and type of dental professionals involved. METHODS: Data were collected in four dental clinics regarding time spent using PS and EPR, on types of treatment and dental professionals involved using PS. As reference standard for time spent, independent research assistants (RA) collected data on time per visit using stopwatches. As reference standard for types of treatment and of dental professionals involved, we used the dental clinic's Electronic Patient Files (DEPF). The two one-sided tests (TOST) equivalence procedure for the difference between paired means for time and kappa statistics for treatment and professional were used to assess agreement of data collection methods with the reference standards. RESULTS: Equivalence and agreement was good between (a) PS and RA registration concerning waiting time, appointment time and total time spent and (b) EPR and DEPF concerning appointment time. Agreement between PS and DEPF concerning types of treatment was moderate to fair (kappa values between 0.49 and 0.56 for preventive consultation, restoration, radiographs and extractions and between 0.15 and 0.26 for fluoride applications and sealants). Agreement between PS and DEPF for dental professional involved was fair (kappa = 0.41). CONCLUSIONS: Data collection regarding time using PS and EPR was valid. Data collection via PS on treatment and professionals involved were not sufficiently valid and should occur via DEPF.

Knowledge on hypertension in Myanmar: levels and groups at risk.

Background: Non-communicable diseases, specifically the burden of hypertension, have become a major public health threat to low- and middle-income countries, such as Myanmar. Inadequate knowledge of hypertension and its management among people may hinder its effective prevention and treatment with some groups at particular increased risks, but evidence on this is lacking for Myanmar. The aims of this study were therefore to assess the level of knowledge of risk factors, symptoms and complications of hypertension, by hypertension treatment status, community group-membership, and sociodemographic and socioeconomic factors in Myanmar. Methods: Data was collected through structured questionnaires in 2020 on a random sample of 660 participants, stratified by region and existence of community groups. Knowledge of hypertension was measured with the 'Knowledge' part of a validated 'Knowledge, Attitude and Practice' survey questionnaire and categorised into ill-informed and reasonably to well-informed about hypertension. Results: The majority of respondents seem reasonably to well-informed about risk factors, symptoms and complications of hypertension. This did not vary by hypertension treatment status and community group membership. People with jobs (B=0.96; 95%-confidence interval 0.343 to 1.572) and higher education (B=1.96; 0.060 to 3.868) had more hypertension knowledge than people without jobs or low education. Adherence to treatment among hypertensive people was low. Conclusion: This study shows a majority of participants in this study in Myanmar seem reasonably to well-informed, with no differences by hypertension status, treatment status, and community group-membership. People without jobs and low education have less hypertension knowledge, making them priority groups for tailored education on health care level as well as community level, lowering the burden of hypertension. Almost half of the hypertensive patients did not take their medicines and therefore, adherence to treatment of hypertension should be an important element for future health education.

Outcomes and Critical Factors for Successful Implementation of Organizational Health Literacy Interventions: A Scoping Review.

Organizational health literacy (OHL)-interventions can reduce inequality and demands in health care encountered by patients. However, an overview of their impact and critical factors for organization-wide implementation is lacking. The aim of this scoping review is to summarize the evidence on: (1) the outcomes of OHL-interventions at patient, professional and organizational levels; and (2) the factors and strategies that affect implementation and outcomes of OHL-interventions. We reviewed empirical studies following the five-stage framework of Arksey and O'Malley. The databases Scopus, PubMed, PsychInfo and CINAHL were searched from 1 January 2010 to 31 December 2019, focusing on OHL-interventions using terms related to "health literacy", "health care organization" and "intervention characteristics". After a full-text review, we selected 24 descriptive stu-dies. Of these, 23 studies reported health literacy problems in relation to OHL-assessment tools. Nine out of thirteen studies reported that the use of interventions resulted in positive changes on OHL-domains regarding comprehensible communication, professionals' competencies and practices, and strategic organizational changes. Organization-wide OHL-interventions resulted in some improvement of patient outcomes but evidence was scarce. Critical factors for organization-wide implementation of OHL-interventions were leadership support, top-down and bottom-up approaches, a change champion, and staff commitment. Organization-wide interventions lead to more positive change on OHL-domains, but evidence regarding OHL-outcomes needs strengthening.

Socioeconomic Health Inequalities in Adolescent Metabolic Syndrome and Depression: No Mediation by Parental Depression and Parenting Style.

We assessed to what extent parental depression and parenting style mediate the relationships between different measures of parental socioeconomic status (SES) and both depression and metabolic syndrome (MetS) in adolescents, and whether sex moderates these mechanisms. Data were from the prospective multigenerational Dutch Lifelines Cohort Study. Our sample consisted of 1217 adolescents with an average follow-up of 33.3 (SD = 7.33) months and a median baseline age of 13 (IQR:13-14) years. We used structural equation models to assess the direct and indirect effects of SES on baseline and changes at follow-up in both depression and MetS, and to assess moderation by sex. For each additional year of education, continuous MetS scores were 0.098 (95%CI: 0.020; 0.184) units lower at baseline and decreased 0.079 (95%CI: 0.004; 0.158) units at follow-up. No other direct or indirect effects of SES were found, and there was no moderation by sex. Additionally, warmer parenting style was generally associated with more favorable outcome scores. Therefore, improving parenting style may improve health for all adolescents. However, in this study parental depression and parenting style did not account for adolescent socioeconomic health inequalities. This may be partly due to good access to social services within the Netherlands.

Alternative pediatric metabolic syndrome definitions impact prevalence estimates and socioeconomic gradients.

BACKGROUND: There is no consensus regarding the definition of pediatric metabolic syndrome (MetS). This study assessed the impact of alternative definitions on the prevalence, children identified, and association with socioeconomic status (SES). METHODS: Data were from the prospective multigenerational Dutch Lifelines Cohort Study. At baseline, 9754 children participated, and 5085 (52.1%) with average follow-up of 3.0 (SD = 0.75) years were included in the longitudinal analyses; median ages were 12 (IQR = 10-14) and 14 years (IQR = 12-15), respectively. We computed MetS prevalence according to five published definitions and measured the observed proportion of positive agreement. We used logistic regression to assess the SES-MetS association, adjusted for age and sex. Longitudinal models were also adjusted for baseline MetS. RESULTS: MetS prevalence and positive agreement varied between definitions, from 0.7 to 3.0% and from 0.34 (95% CI: 0.28; 0.41) to 0.66 (95% CI: 0.58; 0.75) at baseline, respectively. We consistently found a socioeconomic gradient; in the longitudinal analyses, each additional year of parental education reduced the odds of having MetS by 8% (95% CI: 1%; 14%) to 19% (95% CI: 7%; 30%). CONCLUSIONS: Alternative MetS definitions had differing prevalence estimates and agreed on 50% of the average number of cases. Additionally, regardless of the definition, low SES was a risk factor for MetS. IMPACT: Little is known about the impact of using different definitions of pediatric metabolic syndrome on study results. Our study showed that the choice of pediatric metabolic syndrome definition produces very different prevalence estimates. We also showed that the choice of definition influences the socioeconomic gradient. However, low socioeconomic status was consistently a risk factor for having pediatric metabolic syndrome. In conclusion, studies using different definitions of metabolic syndrome could be reasonably compared when investigating the association with socioeconomic status but not always validly when comparing prevalence studies.

Childhood Socioeconomic Status and Depressive Symptom Trajectories in the Transition to Adulthood in the United States and Canada.

PURPOSE: We examined whether young people in the U.S. and Canada exhibit similar depressive symptom trajectories in the transition to adulthood and compared the effect of childhood socioeconomic status on trajectory membership. METHODS: We used the American National Longitudinal Survey of Youth 1979 Child/Young Adult (n = 6,315) and the Canadian National Longitudinal Survey of Children and Youth (n = 3,666). Depressive symptoms were measured using five items from the Center for Epidemiological Studies on Depression scale. Latent trajectories of depressive symptoms from ages 16-25 years were identified using growth mixture models. We estimated the effect of childhood family income, parental education, and parental unemployment on trajectory membership using multivariable Poisson regression models with robust variances. RESULTS: We identified four similar trajectories in the two countries: (1) low stable; (2) mid-peak; (3) increasing; and (4) decreasing. Relatively more Americans were in the low-stable trajectory group than Canadians (77.6% vs. 64.9%), and fewer Americans were in the decreasing group (7.1% vs. 19.1%). In the U.S., childhood family income in the bottom two quartiles was related to higher rates of increasing trajectory membership compared with income in the top quartile (incidence rate ratios: 1.59-1.79, p < .05), but not in Canada. In the U.S., parental education at a high school level was associated with higher rates of decreasing trajectory membership compared with higher education (incidence rate ratio = 1.45, confidence interval: 1.10-1.91; p = .01), but not in Canada. CONCLUSIONS: Depressive symptoms may take a similar course in the transition to adulthood within these two countries. Country differences may modify the degree to which childhood socioeconomic status determines trajectory membership.

Sleep characteristics across the lifespan in 1.1 million people from the Netherlands, United Kingdom and United States: a systematic review and meta-analysis.

We aimed to obtain reliable reference charts for sleep duration, estimate the prevalence of sleep complaints across the lifespan and identify risk indicators of poor sleep. Studies were identified through systematic literature search in Embase, Medline and Web of Science (9 August 2019) and through personal contacts. Eligible studies had to be published between 2000 and 2017 with data on sleep assessed with questionnaires including ≥100 participants from the general population. We assembled individual participant data from 200,358 people (aged 1-100 years, 55% female) from 36 studies from the Netherlands, 471,759 people (40-69 years, 55.5% female) from the United Kingdom and 409,617 people (≥18 years, 55.8% female) from the United States. One in four people slept less than age-specific recommendations, but only 5.8% slept outside of the 'acceptable' sleep duration. Among teenagers, 51.5% reported total sleep times (TST) of less than the recommended 8-10 h and 18% report daytime sleepiness. In adults (≥18 years), poor sleep quality (13.3%) and insomnia symptoms (9.6-19.4%) were more prevalent than short sleep duration (6.5% with TST < 6 h). Insomnia symptoms were most frequent in people spending ≥9 h in bed, whereas poor sleep quality was more frequent in those spending <6 h in bed. TST was similar across countries, but insomnia symptoms were 1.5-2.9 times higher in the United States. Women (≥41 years) reported sleeping shorter times or slightly less efficiently than men, whereas with actigraphy they were estimated to sleep longer and more efficiently than man. This study provides age- and sex-specific population reference charts for sleep duration and efficiency which can help guide personalized advice on sleep length and preventive practices.

Vitamin Status and Diet in Elderly with Low and High Socioeconomic Status: The Lifelines-MINUTHE Study.

Socioeconomic health inequalities are an important global public health problem. However, it is not well known to what extent socioeconomic inequalities culminate in impaired vitamin status and whether this is mediated by diet. We, therefore, aimed to assess vitamin status in a population already at increased risk of micronutrient deficiency, i.e., elderly with high and low socioeconomic status (SES), and to investigate whether potential differences therein were mediated by diet quality. Vitamin status in 1605 individuals (60-75 years) from the Lifelines- Micronutrients and Health inequalities in Elderly (MINUTHE) Study was assessed by measuring folic acid and the vitamins B6, B12, D, A, E, and K. Multinomial logistic and linear regression analyses were applied to test the associations between SES and vitamin status. Mediation analysis was used to explore the interrelationship between SES, diet quality, and vitamin status. Low SES was associated with poorer status of vitamin B6, vitamin B12, and, notably, folic acid. Moreover, multivitamin deficiencies were more prevalent in the low SES group. Diet quality was found to mediate the associations of SES with folic acid (for 39.1%), vitamin B6 (for 37.1%), and vitamin B12 (for 37.2%). We conclude that low SES is a risk factor for a spectrum of vitamin deficiencies. Diet quality can partially explain the socioeconomic differences in vitamin status, suggesting that policymakers can mitigate socioeconomic inequality in nutritional status through improving diet quality.

Availability and accessibility of primary mental health services for adolescents: an overview of national recommendations and services in EU.

BACKGROUND: Mental health problems in adolescence can profoundly jeopardize adolescent current and future health and functioning. We aimed to describe existing recommendations and services regarding the delivery of primary mental health care for adolescents in 31 European countries. METHODS: Data on the availability and accessibility of primary mental health services were collected, as part of the Horizon 2020-funded project Models of Child Health Appraised. One expert from each country answered a closed items questionnaire during years 2017-18. RESULTS: All 31 participating countries had some policy or recommendations regarding the availability and accessibility of primary mental health services for adolescents, but their focus and implementation varied largely between and within countries. Only half of the participating countries had recommendations on screening adolescents for mental health issues and burdens. Merely a quarter of the countries had ambulatory facilities targeting specifically adolescents throughout the whole country. Just over half had some kind of suicide prevention programs. Same-day access to primary care in case of -health emergencies was possible in 21 countries, but often not throughout the whole country. Nineteen countries had strategies securing accessible mental health care for vulnerable adolescents. CONCLUSIONS: Overall, around half of European countries had strategies securing access to various primary mental health care for adolescents. They frequently did not guarantee care over the whole country and often tackled a limited number of situations. EU countries should widen the range of policies and recommendations governing the delivery of mental health care to adolescents and monitor their implementation.

Assessing quality of life in psychosocial and mental health disorders in children: a comprehensive overview and appraisal of generic health related quality of life measures.

BACKGROUND: Mental health problems often arise in childhood and adolescence and can have detrimental effects on people's quality of life (QoL). Therefore, it is of great importance for clinicians, policymakers and researchers to adequately measure QoL in children. With this review, we aim to provide an overview of existing generic measures of QoL suitable for economic evaluations in children with mental health problems. METHODS: First, we undertook a meta-review of QoL instruments in which we identified all relevant instruments. Next, we performed a systematic review of the psychometric properties of the identified instruments. Lastly, the results were summarized in a decision tree. RESULTS: This review provides an overview of these 22 generic instruments available to measure QoL in children with psychosocial and or mental health problems and their psychometric properties. A systematic search into the psychometric quality of these instruments found 195 suitable papers, of which 30 assessed psychometric quality in child and adolescent mental health. CONCLUSIONS: We found that none of the instruments was perfect for use in economic evaluation of child and adolescent mental health care as all instruments had disadvantages, ranging from lack of psychometric research, no proxy version, not being suitable for young children, no age-specific value set for children under 18, to insufficient focus on relevant domains (e.g. social and emotional domains).

Care use and its intensity in children with complex problems are related to varying child and family factors: A follow-up study.

BACKGROUND: There is little evidence on the child and family factors that affect the intensity of care use by children with complex problems. We therefore wished to identify changes in these factors associated with changes in care service use and its intensity, for care use in general and psychosocial care in particular. METHODS: Parents of 272 children with problems in several life domains completed questionnaires at baseline (response 69.1%) and after 12 months. Negative binominal Hurdle analyses enabled us to distinguish between using care services (yes/ no) and its intensity, i.e. number of contacts when using care. RESULTS: Change in care use was more likely if the burden of adverse life events (ALE) decreased (odds ratio, OR = 0.94, 95% confidence interval, CI = 0.90-0.99) and if parenting concerns increased (OR = 1.29, CI = 1.11-1.51). Psychosocial care use became more likely for school-age children (vs. pre-school) (OR = 1.99, CI = 1.09-3.63) if ALE decreased (OR = 0.93, CI = 0.89-0.97) and if parenting concerns increased (OR = 1.26, CI = 1.10-1.45). Intensity of use (>0 contacts) of any care decreased when ALE decreased (relative risk, RR = 0.95, CI = 0.92-0.98) and when psychosocial problems became less severe (RR = 0.38, CI = 0.20-0.73). Intensity of psychosocial care also decreased when severe psychosocial problems became less severe (RR = 0.39, CI = 0.18-0.84). CONCLUSIONS: Changes in care-service use (vs. no use) and its intensity (>0 contacts) are explained by background characteristics and changes in a child's problems. Care use is related to factors other than changes in its intensity, indicating that care use and its intensity have different drivers. ALE in particular contribute to intensity of any care use.

Availability, prices, and affordability of selected essential cancer medicines in a middle-income country - the case of Mexico.

BACKGROUND: More alternatives have become available for the diagnosis and treatment of cancer in low- and middle-income countries. Because of increasing demands, governments are now facing a problem of limited affordability and availability of essential cancer medicines. Yet, precise information about the access to these medicines is limited, and the methodology is not very well developed. We assessed the availability and affordability of essential cancer medicines in Mexico, and compared their prices against those in other countries of the region. METHODS: We surveyed 21 public hospitals and 19 private pharmacies in 8 states of Mexico. Data were collected on the availability and prices of 49 essential cancer medicines. Prices were compared against those in Chile, Peru, Brazil, Colombia and PAHO's Strategic Fund. RESULTS: Of the various medicines, mean availability in public and private sector outlets was 61.2 and 67.5%, respectively. In the public sector, medicines covered by the public health insurance "People's Health Insurance" were more available. Only seven (public sector) and five (private sector) out of the 49 medicines were considered affordable. Public sector procurement prices were 41% lower than in other countries of the region. CONCLUSIONS: The availability of essential cancer medicines, in the public and private sector, falls below World Health Organization's 80% target. The affordability remains suboptimal as well. A national health insurance scheme could serve as a mechanism to improve access to cancer medicines in the public sector. Comprehensive pricing policies are warranted to improve the affordability of cancer medicines in the private sector.