Disruption of hospital care during the first year of the COVID-19 pandemic impacted socioeconomic groups differently: population based study using routine registration data.

BACKGROUND: During the COVID-19 pandemic, provision of non-COVID healthcare was recurrently severely disrupted. The objective was to determine whether disruption of non-COVID hospital use, either due to cancelled, postponed, or forgone care, during the first pandemic year of COVID-19 impacted socioeconomic groups differently compared with pre-pandemic use. METHODS: National population registry data, individually linked with data of non-COVID hospital use in the Netherlands (2017-2020). in non-institutionalised population of 25-79 years, in standardised household income deciles (1 = low, 10 = high) as proxy for socioeconomic status. Generic outcome measures included patients who received hospital care (dichotomous): outpatient contact, day treatment, inpatient clinic, and surgery. Specific procedures were included as examples of frequently performed elective and acute procedures, e.g.: elective knee/hip replacement and cataract surgery, and acute percutaneous coronary interventions (PCI). Relative risks (RR) for hospital use were reported as outcomes from generalised linear regression models (binomial) with log-link. An interaction term was included to assess whether income differences in hospital use during the pandemic deviated from pre-pandemic use. RESULTS: Hospital use rates declined in 2020 across all income groups. With baseline (2019) higher hospital use rates among lower than higher income groups, relatively stronger declines were found for lower income groups. The lowest income groups experienced a 10% larger decline in surgery received than the highest income group (RR 0.90, 95% CI 0.87 - 0.93). Patterns were similar for inpatient clinic, elective knee/hip replacement and cataract surgery. We found small or no significant income differences for outpatient clinic, day treatment, and acute PCI. CONCLUSIONS: Disruption of non-COVID hospital use in 2020 was substantial across all income groups during the acute phases of the pandemic, but relatively stronger for lower income groups than could be expected compared with pre-pandemic hospital use. Although the pandemic's impact on the health system was unprecedented, healthcare service shortages are here to stay. It is therefore pivotal to realise that lower income groups may be at risk for underuse in times of scarcity.

Relative contributions of pre-pandemic factors and intra-pandemic activities to differential COVID-19 risk among migrant and non-migrant populations in the Netherlands: lessons for future pandemic preparedness.

BACKGROUND: Although risk factors for differences in SARS-CoV-2 infections between migrant and non-migrant populations in high income countries have been identified, their relative contributions to these SARS-CoV-2 infections, which could aid in the preparation for future viral pandemics, remain unknown. We investigated the relative contributions of pre-pandemic factors and intra-pandemic activities to differential SARS-CoV-2 infections in the Netherlands by migration background (Dutch, African Surinamese, South-Asian Surinamese, Ghanaians, Turkish, and Moroccan origin). METHODS: We utilized pre-pandemic (2011-2015) and intra-pandemic (2020-2021) data from the HELIUS cohort, linked to SARS-CoV-2 PCR test results from Public Health Service of Amsterdam (GGD Amsterdam). Pre-pandemic factors included socio-demographic, medical, and lifestyle factors. Intra-pandemic activities included COVID-19 risk aggravating and mitigating activities such as physical distancing, use of face masks, and other similar activities. We calculated prevalence ratios (PRs) in the HELIUS population that was merged with GGD Amsterdam PCR test data using robust Poisson regression (SARS-CoV-2 PCR test result as outcome, migration background as predictor). We then obtained the distribution of migrant and non-migrant populations in Amsterdam as of January 2021 from Statistics Netherlands. The migrant populations included people who have migrated themselves as well as their offspring. We used PRs and the population distributions to calculate population attributable fractions (PAFs) using the standard formula. We used age and sex adjusted models to introduce pre-pandemic factors and intra-pandemic activities, noting the relative changes in PAFs. RESULTS: From 20,359 eligible HELIUS participants, 8,595 were linked to GGD Amsterdam PCR test data and included in the study. Pre-pandemic socio-demographic factors (especially education, occupation, and household size) resulted in the largest changes in PAFs when introduced in age and sex adjusted models (up to 45%), followed by pre-pandemic lifestyle factors (up to 23%, especially alcohol consumption). Intra-pandemic activities resulted in the least changes in PAFs when introduced in age and sex adjusted models (up to 16%). CONCLUSION: Interventions that target pre-pandemic socio-economic status and other drivers of health inequalities between migrant and non-migrant populations are urgently needed at present to better prevent infection disparities in future viral pandemics.

Behavioural insights and the evolving COVID-19 pandemic.

Behavioural sciences have complemented medical and epidemiological sciences in the response to the SARS-CoV-2 pandemic. As vaccination uptake continues to increase across the EU/EEA - including booster vaccinations - behavioural science research remains important for both pandemic policy, planning of services and communication. From a behavioural perspective, the following three areas are key as the pandemic progresses: (i) attaining and maintaining high levels of vaccination including booster doses across all groups in society, including socially vulnerable populations, (ii) informing sustainable pandemic policies and ensuring adherence to basic prevention measures to protect the most vulnerable population, and (iii) facilitating population preparedness and willingness to support and adhere to the reimposition of restrictions locally or regionally whenever outbreaks may occur. Based on mixed-methods research, expert consultations, and engagement with communities, behavioural data and interventions can thus be important to prevent and effectively respond to local or regional outbreaks, and to minimise socioeconomic and health disparities. In this Perspective, we briefly outline these topics from a European viewpoint, while recognising the importance of considering the specific context in individual countries.

Socioeconomic differences in healthcare expenditure and utilization in The Netherlands.

BACKGROUND: Worldwide, socioeconomic differences in health and use of healthcare resources have been reported, even in countries providing universal healthcare coverage. However, it is unclear how large these socioeconomic differences are for different types of care and to what extent health status plays a role. Therefore, our aim was to examine to what extent healthcare expenditure and utilization differ according to educational level and income, and whether these differences can be explained by health inequalities. METHODS: Data from 18,936 participants aged 25-79 years of the Dutch Health Interview Survey were linked at the individual level to nationwide claims data that included healthcare expenditure covered in 2017. For healthcare utilization, participants reported use of different types of healthcare in the past 12 months. The association of education/income with healthcare expenditure/utilization was studied separately for different types of healthcare such as GP and hospital care. Subsequently, analyses were adjusted for general health, physical limitations, and mental health. RESULTS: For most types of healthcare, participants with lower educational and income levels had higher healthcare expenditure and used more healthcare compared to participants with the highest educational and income levels. Total healthcare expenditure was approximately between 50 and 150 % higher (depending on age group) among people in the lowest educational and income levels. These differences generally disappeared or decreased after including health covariates in the analyses. After adjustment for health, socioeconomic differences in total healthcare expenditure were reduced by 74-91 %. CONCLUSIONS: In this study among Dutch adults, lower socioeconomic status was associated with increased healthcare expenditure and utilization. These socioeconomic differences largely disappeared after taking into account health status, which implies that, within the universal Dutch healthcare system, resources are being spent where they are most needed. Improving health among lower socioeconomic groups may contribute to decreasing health inequalities and healthcare spending.

Health expenditure of employees versus self-employed individuals; a 5 year study.

It is unclear to what extent self-employed choose to become self-employed. This study aimed to compare the health care expenditures-as a proxy for health-of self-employed individuals in the year before they started their business, to that of employees. Differences by sex, age, and industry were studied. In total, 5,741,457 individuals aged 25-65 years who were listed in the tax data between 2010 and 2015 with data on their health insurance claims were included. Self-employed and employees were stratified according to sex, age, household position, personal income, region, and industry for each of the years covered. Weighted linear regression was used to compare health care expenditures in the preceding (year x-1) between self-employed and employees (in year x). Compared with employees, expenditures for hospital care, pharmaceutical care and mental health care were lower among self-employed in the year before they started their business. Differences were most pronounced for men, individuals ≥40 years and those working in the industry and energy sector, construction, financial institutions, and government and care. We conclude that healthy individuals are overrepresented among the self-employed, which is more pronounced in certain subgroups. Further qualitative research is needed to investigate the reasons why these subgroups are more likely to choose to become self-employed.

Educational differences in acute infectious diseases in the Netherlands: results from a nationwide health survey.

BACKGROUND: It is unclear to what extent socioeconomic inequalities exist in common infectious diseases in high-income countries. We aimed to explore educational differences in five common acute infectious diseases in adults in the Netherlands. METHODS: As part of a year-round repeated cross-sectional health survey, adults aged 25 and older were asked if they had experienced acute upper or lower respiratory tract infections, acute otitis media, urinary tract infections or gastro-enteritis in the two previous months. If so, participants were asked whether they had consulted their general practitioner and if they had been unable to perform their normal daily activities. These outcomes were analyzed per highest attained level of education. RESULTS: Data of 18 629 survey respondents were used in the analyses. People with a low educational level had lower odds of upper respiratory tract infections (OR 0.88, 95% CI 0.81-0.95), but higher odds of lower respiratory tract infections (OR 1.57, 95% CI 1.16-2.11). After adjustment for several covariates, the differences in upper respiratory tract infections remained statistically significant (aOR 0.84, 95% CI 0.77-0.91). The educational differences in lower respiratory tract infections were mitigated by adjusting for chronic diseases and health behaviours. For all infectious diseases, the likelihood of general practitioner consultation was highest for the lower educated group. Inability to work or perform normal daily activities due to an infectious disease was similar across all levels of education. CONCLUSION: This study shows that educational differences in incidence and care seeking behaviours exist for common acute infectious diseases in the Netherlands.

Single transitions and persistence of unemployment are associated with poor health outcomes.

BACKGROUND: Although job loss has been associated with decline in health, the effect of long term unemployment is less clear and under-researched. Furthermore, the impact of an economic recession on this relationship is unclear. We investigated the associations of single transitions and persistence of unemployment with health. We subsequently examined whether these associations are affected by the latest recession, which began in 2008. METHODS: In total, 57,911 participants from the Dutch Health Interview Survey who belonged to the labour force between 2004 and 2014 were included. Based on longitudinal tax registration data, single employment transitions between time point 1 (t1) and time point 2 (t2) and persistent unemployment (i.e. number of years individuals were unemployed) between t1 and time point 5 (t5) were defined. General and mental health, smoking and obesity were assessed at respectively time point 3 (t3) and time point 6 (t6). Logistic regression models were performed and interactions with recession indicators (year, annual gross domestic product estimates and regional unemployment rates) were tested. RESULTS: Compared with individuals who stayed employed at t1 and t2, the likelihood of poor mental health at the subsequent year was significantly higher in those who became unemployed at t2. Persistent unemployment was associated with poor mental health, especially for those who were persistently unemployed for 5 years. Similar patterns, although less pronounced for smoking, were found for general health and obesity. Indicators of the economic recession did not modify these associations. CONCLUSIONS: Single transitions into unemployment and persistent unemployment are associated with poor mental and general health, obesity, and to a lesser extend smoking. Our study suggests that re-employment might be an important strategy to improve health of unemployed individuals. The relatively extensive Dutch social security system may explain that the economic recession did not modify these associations.

Health literacy skills for informed decision making in colorectal cancer screening: Perceptions of screening invitees and experts.

BACKGROUND: The process of informed decision making (IDM) requires an adequate level of health literacy. To ensure that all individuals have equal opportunity to make an informed decision in colorectal cancer (CRC) screening, it is essential to gain more insight into which health literacy skills are needed for IDM. Our aims were (i) to explore how individuals make a decision about CRC screening and (ii) to explore which skills are needed for IDM in CRC screening and (iii) to integrate these findings within a conceptual framework. METHODS: We conducted 3 focus groups with individuals eligible for CRC screening (n = 22) and 2 focus groups with experts in the field of health literacy, oncology and decision making, including scientific researchers and health-care professionals (n = 17). We used framework analysis to analyse our data. RESULTS: We identified and specified ten health literacy skills, which varied from the ability to read and understand CRC screening information to the ability to weigh up pros and cons of screening for personal relevance. The skills were linked to 8 decision-making stages in CRC screening within a conceptual framework. We found differences in perceptions between screening invitees and experts, especially in the perceived importance of CRC screening information for IDM. CONCLUSIONS: This study provides insight into the decision-making stages and health literacy skills that are essential for IDM in CRC screening. The proposed conceptual framework can be used to inform the development of context-based measurement of health literacy and interventions to support IDM in cancer screening.

Health literacy among older adults is associated with their 10-years' cognitive functioning and decline - the Doetinchem Cohort Study.

BACKGROUND: Many older adults have low levels of health literacy which affects their ability to participate optimally in healthcare. It is unclear how cognitive decline contributes to health literacy. To study this, longitudinal data are needed. The aim of this study was therefore to assess the associations of cognitive functioning and 10-years' cognitive decline with health literacy in older adults. METHODS: Data from 988 participants (mean age = 65.3) of the Doetinchem Cohort Study were analyzed. Health literacy was measured by the Brief Health Literacy Screening. Memory, mental flexibility, information processing speed, and global cognitive functioning were assessed at the same time as health literacy and also 10 years earlier. Logistic regression analyses were performed, adjusted for age, gender, and educational level. RESULTS: Higher scores on tests in all cognitive domains were associated with a lower likelihood of having low health literacy after adjustment for confounders (all ORs < 0.70, p-values<.001). Similar associations were found for past cognitive functioning (all ORs < 0.75, p-values<.05). Before adjustment, stronger cognitive decline was associated with a greater likelihood of having low health literacy (all ORs > 1.37, p-values<.05). These associations lost significance after adjustment for educational level, except for the association of memory decline (OR = 1.40, p = .023, 95% CI: 1.05 to 1.88). CONCLUSION: Older adults with poorer cognitive functioning and stronger cognitive decline are at risk for having low health literacy, which can affect their abilities to promote health and self-manage disease. Low health literacy and declining cognitive functioning might be a barrier for person-centered care, even in relatively young older adults.

Why are the public so positive about colorectal cancer screening?

BACKGROUND: Colorectal cancer (CRC) screening is widely recommended. Earlier research showed that the general public are positive about CRC screening, as too the eligible CRC screening population. Among the eligible CRC screening population this positive perception has been shown to be associated with their perceptions of cancer, preventive health screening and their own health. It is unclear whether these concepts are also associated with the positive perception of the general public. Knowing this can provide insight into the context in which public perception concerning CRC screening is established. The aim of our study was to examine which main perceptions are associated with the public perception concerning CRC screening. METHODS: An online survey was carried out in a Dutch population sample (adults 18+) among 1679 respondents (response rate was 56%). We assessed the public's perceptions concerning cancer, preventive health screening, own health, and the government, and examined their possible association with public opinion concerning CRC screening. RESULTS: The public's positive attitude towards CRC screening is associated with the public's positive attitude towards preventive health screening in general, their perceived seriousness of cancer, their belief of health being important, and their trust in the government regarding national screening programmes. CONCLUSION: Trust in the government and perceptions regarding the seriousness of cancer, preventive health screening and the importance of one's health seem to be important factors influencing how the public view CRC screening. The public are likely to process information about CRC screening in such a way that it confirms their existing beliefs of cancer being serious and preventive screening being positive. This makes it likely that they will notice information about the possible benefits of CRC screening more than information about its possible downsides, which would also contribute to the positive perception of CRC screening.

Local professionals' perceptions of health assets in a low-SES Dutch neighbourhood: a qualitative study.

BACKGROUND: Asset-based approaches have become popular in public health. As yet it is not known to what extent health and welfare professionals are able to identify and mobilise individual and community health assets. Therefore, the aim of this study was to understand professional's perceptions of health and health assets. METHODS: In a low-SES neighbourhood, 21 health and welfare professionals were interviewed about their definition of health and their perceptions of the residents' health status, assets available in the neighbourhood's environment, and the way residents use these assets. A Nominal Group Technique (NGT) session was conducted for member check. Verbatim transcripts of the semi-structured interviews were coded and analysed using Atlas.ti. RESULTS: The professionals used a broad health concept, emphasizing the social dimension of health as most important. They discussed the poor health of residents, mentioning multiple health problems and unmet health needs. They provided many examples of behaviour that they considered unhealthy, in particular unhealthy diet and lack of exercise. Professionals considered the green physical environment, as well as health and social services, including their own services, as important health enhancing factors, whereas social and economic factors were considered as major barriers for good health. Poor housing and litter in public space were considered as barriers as well. According to the professionals, residents underutilized neighbourhood health assets. They emphasised the impact of poverty on the residents and their health. Moreover, they felt that residents were lacking individual capabilities to lead a healthy life. Although committed to the wellbeing of the residents, some professionals seemed almost discouraged by the (perceived) situation. They looked for practical solutions by developing group-based approaches and supporting residents' self-organisation. CONCLUSIONS: Our study shows, firstly, that professionals in the priority district Slotermeer rated the health of the residents as poor and their health behaviour as inadequate. They considered poverty and lack of education as important causes of this situation. Secondly, the professionals tended to talk about barriers in the neighbourhood rather than about neighbourhood health assets. As such, it seems challenging to implement asset-based approaches. However, the professionals, based on their own experiences, did perceive the development of collective approaches as a promising direction for future community health development.

The Dutch public are positive about the colorectal cancer-screening programme, but is this a well-informed opinion?

BACKGROUND: Population-based colorectal cancer (CRC) screening is widely recommended, and members of the eligible screening population seem to be positive about it. However, it is not well known how people outside the eligible screening population view CRC screening, and whether they are supportive of the government providing this. Public opinion may affect people's personal views and their screening decision. The aim of our study was to examine the opinion of the Dutch general public regarding the national CRC screening programme. METHOD: An online survey was carried out in a Dutch population sample of adults aged 18 and older, assessing level of support, personal attitude, collective attitude, perceived social norm, awareness, and knowledge regarding the CRC screening programme. RESULTS: The response rate was 56% (n = 1679/3000). Generally, the Dutch public are positive about and supportive of the CRC screening programme. We found the biggest proportion of support (86%) when people were asked directly. A smaller proportion (48%) was supportive when people had to choose between other options concerning how the government could possibly deal with CRC. People report knowing more about the benefits of CRC screening than about its possible harms and risks. Many people found it difficult to answer the knowledge questions that asked about numerical information concerning CRC screening correctly. CONCLUSION: People were less supportive of the CRC screening programme when having to choose between other options concerning dealing with CRC, and their support may not be based on a full comprehension of what CRC screening entails. Further research is needed to establish what knowledge people need in order to form a well-founded opinion.

Health literacy in Europe: the development and validation of health literacy prediction models.

BACKGROUND: Health literacy is an important determinant of health, but national health literacy levels are known for only some European countries. This study aims to examine to what extent national health literacy levels can be estimated based on publicly available census data. METHOD: Multivariate models were used to predict two types of health literacy on population level. Predictors were selected based on literature, the European Health Literacy Survey (HLS-EU) and the Adult Literacy and Life Skills Survey (ALL). The HLS-EU provides insight into self-assessed health literacy and the ALL into the performance of individuals on health literacy tasks (performance-based health literacy). Dutch HLS-EU and ALL data were used to construct prediction models based on 2/3 of this data, which were validated in the remaining 1/3 of the data and (in case of self-assessed health literacy) in data from seven other European countries. RESULTS: Education is a significant predictor of perceived and performance-based health literacy. Age and working status are significant predictors of performance-based health literacy, whereas gender and income are significant predictors of self-assessed health literacy. Both typologies of health literacy can satisfactorily be predicted within samples of the Dutch population. The accuracy of estimated self-assessed health literacy varied between the seven other European countries. CONCLUSION: Prediction models based on publicly available census data can be used for estimating self-assessed and performance-based health literacy on population level. Observed health literacy levels or better prediction models are required when one is interested in ranking European countries.

The effectiveness of interventions for ageing workers on (early) retirement, work ability and productivity: a systematic review.

PURPOSE: To systematically summarise the literature on the effects of interventions for ageing workers that address work-related measures of sustainable employability, i.e. (early) retirement, work ability and work productivity. METHODS: A systematic review was performed by searching five electronic databases for relevant studies published between January 1992 and February 2014. Randomised controlled trials (RCTs) and quasi-experimental intervention studies were included. The study population included workers aged ≥40 years, and the measured outcomes were positive indicators of labour force participation, i.e. (early) retirement, work ability and work productivity. The methodological quality of each included study was assessed, and best-evidence synthesis was applied to draw conclusions about the evidence for the effectiveness of each outcome. RESULTS: Four studies met the inclusion criteria. The interventions were diverse and ranged from individual (e.g. exercise) programmes to workplace programmes. Limited evidence for a favourable effect on early retirement was found. Insufficient evidence was found for the remaining outcomes, i.e. work ability and productivity, due to a lack of high-quality studies and consistent findings. CONCLUSIONS: Insufficient and limited evidence is available for a favourable effect of interventions to promote work-related components of sustainable employability in ageing workers. This is due to a scarcity of RCTs and inconsistent findings between the limited number of studies. Additional intervention studies are needed to support evidence-based decision making to prolong a healthy and productive working life for ageing workers.

Health literacy and informed decision making regarding colorectal cancer screening: a systematic review.

Making an informed decision about participation in colorectal cancer (CRC) screening may be challenging for invitees with lower health literacy skills. The aim of this systematic review is to explore to what extent the level of a person's health literacy is related to their informed decision making concerning CRC screening. We searched for peer-reviewed studies published between 1950 and May 2013 in MEDLINE, EMBASE, SciSearch and PsycINFO. Studies were included when health literacy was studied in relation to concepts underpinning informed decision making (awareness, risk perception, perceived barriers and benefits, knowledge, attitude, deliberation). The quality of the studies was determined and related to the study results. The search returned 2254 papers. Eight studies in total were included, among which seven focused on knowledge, four focused on attitudes or beliefs concerning CRC screening, and one focused on risk perception. The studies found either no association or a positive association between health literacy and concepts underpinning informed decision making. Some studies showed that higher health literacy was associated with more CRC screening knowledge and a more positive attitude toward CRC screening. The results of studies that obtained a lower quality score were no different than studies that obtained a higher quality score. In order to obtain more insight into the association between health literacy and informed decision making in CRC cancer screening, future research should study the multiple aspects of informed decision making in conjunction instead of single aspects.

Health literacy in Europe: comparative results of the European health literacy survey (HLS-EU).

BACKGROUND: Health literacy concerns the capacities of people to meet the complex demands of health in modern society. In spite of the growing attention for the concept among European health policymakers, researchers and practitioners, information about the status of health literacy in Europe remains scarce. This article presents selected findings from the first European comparative survey on health literacy in populations. M ETHODS: The European health literacy survey (HLS-EU) was conducted in eight countries: Austria, Bulgaria, Germany, Greece, Ireland, the Netherlands, Poland and Spain (n = 1000 per country, n = 8000 total sample). Data collection was based on Eurobarometer standards and the implementation of the HLS-EU-Q (questionnaire) in computer-assisted or paper-assisted personal interviews. R ESULTS: The HLS-EU-Q constructed four levels of health literacy: insufficient, problematic, sufficient and excellent. At least 1 in 10 (12%) respondents showed insufficient health literacy and almost 1 in 2 (47%) had limited (insufficient or problematic) health literacy. However, the distribution of levels differed substantially across countries (29-62%). Subgroups within the population, defined by financial deprivation, low social status, low education or old age, had higher proportions of people with limited health literacy, suggesting the presence of a social gradient which was also confirmed by raw bivariate correlations and a multivariate linear regression model. DISCUSSION: Limited health literacy represents an important challenge for health policies and practices across Europe, but to a different degree for different countries. The social gradient in health literacy must be taken into account when developing public health strategies to improve health equity in Europe.

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

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

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

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

Associations among health literacy, diabetes knowledge, and self-management behavior in adults with diabetes: results of a dutch cross-sectional study.

Various studies have examined the association between health literacy and self-management behavior, but few have explored ways through which this occurs. The present study examines to what extent health literacy is associated with diabetes self-management behavior and to what extent diabetes knowledge is a mechanism in this association. The study was based on cross-sectional data retrieved from patient registrations and questionnaires completed in 2010. The sample included 1,714 predominantly type 2 diabetes patients, with a mean age of 67 years. Diabetes self-management was indicated by HbA1c level, glucose self-control and self-reported monitoring of glucose levels, physical activity, and smoking. Multilevel analyses were applied based on multiple imputed data. Lower health literacy was significantly associated with less diabetes knowledge, higher HbA1c level, less self-control of glucose level, and less physical activity. Participants with more diabetes knowledge were less likely to smoke and more likely to control glucose levels. Diabetes knowledge was a mediator in the association between health literacy and glucose self-control and between health literacy and smoking. This study indicates that higher health literacy may contribute to participation in certain self-management activities, in some cases through diabetes knowledge. Diabetes knowledge and health literacy skills may be important targets for interventions promoting diabetes self-management.

From test to rest: evaluating socioeconomic differences along the COVID-19 care pathway in the Netherlands.

INTRODUCTION: The COVID-19 pandemic exacerbated healthcare needs and caused excess mortality, especially among lower socioeconomic groups. This study describes the emergence of socioeconomic differences along the COVID-19 pathway of testing, healthcare use and mortality in the Netherlands. METHODOLOGY: This retrospective observational Dutch population-based study combined individual-level registry data from June 2020 to December 2020 on personal socioeconomic characteristics, COVID-19 administered tests, test results, general practitioner (GP) consultations, hospital admissions, Intensive Care Unit (ICU) admissions and mortality. For each outcome measure, relative differences between income groups were estimated using log-link binomial regression models. Furthermore, regression models explained socioeconomic differences in COVID-19 mortality by differences in ICU/hospital admissions, test administration and test results. RESULTS: Among the Dutch population, the lowest income group had a lower test probability (RR = 0.61) and lower risk of testing positive (RR = 0.77) compared to the highest income group. However, among individuals with at least one administered COVID-19 test, the lowest income group had a higher risk of testing positive (RR = 1.40). The likelihood of hospital admissions and ICU admissions were higher for low income groups (RR = 2.11 and RR = 2.46, respectively). The lowest income group had an almost four times higher risk of dying from COVID-19 (RR = 3.85), which could partly be explained by a higher risk of hospitalization and ICU admission, rather than differences in test administration or result. DISCUSSION: Our findings indicated that socioeconomic differences became more pronounced at each step of the care pathway, culminating to a large gap in mortality. This underlines the need for enhancing social security and well-being policies and incorporation of health equity in pandemic preparedness plans.