Refine
Document Type
Way of publication
- Open Access (4)
Keywords
- scoping review (3)
- Family (2)
- Healthcare use (2)
- early childhood (2)
- health inequalities (2)
- Access (1)
- Child (1)
- Gesundheitsleistungen (1)
- Health (1)
- Inanspruchnahme (1)
Institute
BTU
Background: Besides macrolevel characteristics of a health care system, mesolevel access characteristics can exert influence on socioeconomic inequalities in healthcare use. These reflect access to healthcare, which is shaped on a smaller scale than the national level, by the institutions and establishments of a health system that individuals interact with on a regular basis. This scoping review maps the existing evidence about the influence of mesolevel access characteristics and socioeconomic position on healthcare use. Furthermore, it summarizes the evidence on the interaction between mesolevel access characteristics and socioeconomic inequalities in healthcare use.
Methods: We used the databases MEDLINE (PubMed), Web of Science, Scopus, and PsycINFO and followed the 'Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols extension for scoping reviews (PRISMA-ScR)' recommendations. The included quantitative studies used a measure of socioeconomic position, a mesolevel access characteristic, and a measure of individual healthcare utilisation. Studies published between 2000 and 2020 in high income countries were considered.
Results: Of the 9501 potentially eligible manuscripts, 158 studies were included after a two-stage screening process. The included studies contained a wide spectrum of outcomes and were thus summarised to the overarching categories: use of preventive services, use of curative services, and potentially avoidable service use. Exemplary outcomes were screening uptake, physician visits and avoidable hospitalisations. Access variables included healthcare system characteristics such as physician density or distance to physician. The effects of socioeconomic position on healthcare use as well as of mesolevel access characteristics were investigated by most studies. The results show that socioeconomic and access factors play a crucial role in healthcare use. However, the interaction between socioeconomic position and mesolevel access characteristics is addressed in only few studies.
Conclusions: Socioeconomic position and mesolevel access characteristics are important when examining variation in healthcare use. Additionally, studies provide initial evidence that moderation effects exist between the two factors, although research on this topic is sparse. Further research is needed to investigate whether adapting access characteristics at the mesolevel can reduce socioeconomic inequity in health care use.
Do families have moderating or mediating effects on early health inequalities? A scoping review
(2021)
Background
During early childhood, families have a crucial impact on children's health behaviour, health, and development (bhd). However, a family's socioeconomic position (SEP) determines both the parental behaviour, living conditions, and child health. To understand how family characteristics may influence the development of health inequalities, this scoping review synthesised research on their mediating and moderating effects.
Methods
The review followed the guidelines of the PRISMA Extension for Scoping Reviews. The search included German and English peer-reviewed articles published between January 1st, 2000 and December 19th, 2019. The search in PubMed, PsycINFO, and Scopus used both free text terms in the title/abstract and index terms within linked keyword blocks: (1) family characteristics, (2) inequalities, (3) income, education, occupation, (4) bhd, (5) newborn, infant, toddler, preschooler. Two researchers independently examined eligibility for inclusion in two rounds (title/abstract; full-text).
Results
Of 7,089 articles identified, ten sources were included that studied family characteristics and health inequalities among 0-6 years olds. Parental rules, stress, and screentime, and TV in bedroom showed mediating effects on inequalities in behaviour problems or children's screentime. Families' negativity, single parenthood, and the number of children in the household moderated differences in impairment, health, behaviour problems, development or breastfeeding initiation.
Conclusions
The effect of family characteristics on early health inequalities has been sparsely investigated. The evidence supported models of family stress and investment. Further research is needed to comprehensively understand this association.
Key messages
Family characteristics contribute to health inequalities.
Taking families’ stress and investment into account could improve targeted prevention efforts aimed at reducing health inequalities.
The role of regional health policy for socioeconomic inequality in health services utilization
(2022)
Background
“J1” is a preventative routine examination in Germany recommended for adolescents at the age of 12-14 years. In contrast to the well-established U1-U9 examinations for younger children, with participation rates above 90%, the attendance of the J1 examination is approximately only 40%. The most frequent reason for not attending J1 is the unawareness of this examination. “Ticket to J1” is an intervention including an information leaflet introduced in Bavaria in 2017 to inform adolescents about J1. The aims of the present analysis are to investigate (1) if the regional policy was effective in increasing the attendance in J1, (2) if the effects vary by family socioeconomic status (SES), and (3) which meso-level characteristics of the healthcare system correlate with attendance rates in J1.
Methods
We used anonymised data of a large statutory health insurance in Germany for the timeframe of 2016-2018. To investigate the effect of the policy, a difference-in-differences design at the individual level was used. Assuming a parallel trend at the level of federal states, the likelihood of attendance in J1 of 13- and 14-year-olds was compared between Bavaria and other federal German states before and after policy introduction. All analyses were additionally stratified by SES.
Results
The introduction of “Ticket to J1” increased participation in J1 by 1% after controlling for all confounders. Furthermore, the effect was stronger for children from families with lower SES (an increase of 5%). Density of pediatricians was positively significantly correlated with participation in J1.
Discussion
Regional health policy intervention had a significant positive impact on attendance of J1 and appears to have the potential to reduce socioeconomic inequalities in healthcare utilization. Informing adolescents about J1 seems to increase the attendance, in particular for children from families with lower SES.
Objectives The main objective was to systematically map evidence regarding the emergence of health inequalities in individuals aged 16–24 years during school-to-work and school-to-university transition (STWT). Second, we aimed to summarise the evidence on potential effects of contextual and compositional characteristics of specific institutional contexts entered during STWT on health and health behaviours.
Design Scoping review.
Study selection Relevant literature was systematically searched following the methodological framework proposed by Arksey and O’Malley. Ovid MEDLINE and Web of Science, and websites of the International Labour Organization and National Institute for Occupational Safety and Health were searched, using a predetermined search strategy. Articles in English or German published between 1 January 2000 and 3 February 2020 were considered.
Data extraction To collect the main information from the selected studies, a data extraction spreadsheet was created. Data were summarised and grouped into five health outcomes and five institutional contexts (school, vocational training, university, work, unemployment).
Results A total of 678 articles were screened for inclusion. To be able to draw a picture of the development of various health outcomes over time, we focused on longitudinal studies. Forty-six prospective studies mapping health-related outcomes during STWT were identified. Higher family socioeconomic position (SEP) was associated with higher levels of health behaviour and lower levels of health-damaging behaviour, but there was also some evidence pointing in the opposite direction. Disadvantaged family SEP negatively impacted on mental health and predicted an adverse weight development. There was limited evidence for the outcomes physical/somatic symptoms and self-rated health. Meso-level characteristics of the institutional contexts identified were not systematically assessed, only individual-level factors resulting from an exposure to these contexts, rendering an analysis of effects of contextual and compositional characteristics on health and health behaviours impossible.
Conclusions This scoping review demonstrated a wide range of health inequalities during STWT for various health outcomes. However, knowledge on the role of the core institutional contexts regarding the development of health inequalities is limited.
Background: In Germany, various preventive services are offered to children and adolescents. These include regular standardized examinations (so called U/J examinations) and several vaccinations. Although strongly recommended, most of them are not mandatory. Our aim is to identify factors associated with the use of U/J examinations and vaccination against diphtheria, hepatitis B, Hib, pertussis, polio, and tetanus. While previous research has focused on sociodemographic factors, we also include socioeconomic, behavioral, and psychosocial factors.
Methods: We analyzed cross-sectional data from 15,023 participants (aged 0-17 years) of the nationwide representative KiGGS Wave 2 Survey. Participation in U/J examinations was assessed using a questionnaire, filled out by participants and/or their parents. Information on vaccination status was drawn from the participants' vaccination booklets. To identify relevant determinants for the use of preventive examinations and vaccinations, unadjusted and adjusted logistic regression models were employed with up to 16 different independent variables.
Results: Various independent variables showed an association with the use of preventive services. Higher socioeconomic status, absence of migration background, and lower household size were associated with significantly higher utilization of U examinations. Parents' marital status, area of residence, behavioral and psychosocial factors yielded insignificant results for most U/J examinations. Higher vaccination rates were found for children with no migration background, with residence in eastern Germany, lower household size, and with married parents.
Conclusion: This study attempted to depict the influence of sociodemographic, psychosocial, and behavioral factors on the use of several preventive services. Our results indicate that predominantly sociodemographic variables influence the use of preventive services. Further efforts should be made to investigate the interplay of different determinants of healthcare use in children and adolescents.
Background
Children's overweight is associated with many factors, including their living situation, in particular their family's socioeconomic position (SEP) and family characteristics. Research on the extent to which family characteristics account for a social gradient in overweight in early life is scarce. This study evaluated whether family characteristics explain SEP differences in the risk of overweight in early childhood.
Methods
The study used baseline data of 3-6 year-old children (n = 1,116) from the intervention ‘Ene mene fit’ conducted at kindergartens in Baden-Württemberg, Germany. Data included overweight (body mass index > 90 percentile) and parents’ reports on their education and family characteristics associated with overweight (child consumes: sweets in front of TV, soft drinks; family joined time: outdoor, breakfast, sports; cooking; child sets table; role model). Model-based single mediation analyses decomposed the total effect of highest parental education on overweight into direct (unmediated) and indirect (mediated) effects (OR, 95% CI).
Results
Girls and boys with low parental education had higher odds for overweight than children with high/medium education. Among boys, low education influenced the risk of overweight via indirect effects of i. ‘sweets consumption in front of TV’ (OR = 1.31, 1.05-1.59) and ii. ‘no joined sports’ (OR = 1.14, 1.00-1.44). The direct effect of low education only remained significant when ‘no joined sports’ was considered (OR = 2.19, 1.11-5.19). Among girls, family characteristics measured here did not explain SEP differences in overweight.
Conclusions
The family characteristics ‘sweets consumption in front of TV’ and ‘no joined sports’ contribute to inequalities in overweight among boys, but not among girls. Therefore, more gender-sensitive research is needed to identify family risk and protective characteristics that explain health inequalities among both boys and girls.
Introduction
Although the impact of macrolevel characteristics of health systems on socioeconomic inequity in health has been studied extensively, the impact of access characteristics on a smaller scale of health systems has received less attention. These mesolevel characteristics can influence access to healthcare and might have the potential to moderate or aggravate socioeconomic inequity in healthcare use. This scoping review aims to map the existing evidence of the association of socioeconomic inequity in healthcare use and mesolevel access characteristics of the health system.
Methods and analysis
In conducting the scoping review, we follow the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols Extension for Scoping Reviews. The search will be carried out in four scientific databases: MEDLINE (via PubMed), Web of Science, Scopus and PsycINFO. Main eligibility criteria are inclusion in the analysis of a measure of socioeconomic position, a measure of individual healthcare use and a mesolevel determinant of access to healthcare services. The selection process consists of two consecutive screening stages (first: title/abstract; second: full text). At both stages, two reviewers independently assess the eligibility of studies. In case of disagreement, a third reviewer will be involved. Cohen’s kappa will be calculated to report inter-rater agreement between reviewers. Results are synthesised narratively, as a high heterogeneity of studies is expected.
Ethics and dissemination
No primary data are collected for the presented scoping review. Therefore, ethical approval is not necessary. The scoping review will be published in an international peer-reviewed journal, and findings will be presented on national and international conferences.
Children’s overweight is strongly associated with family socioeconomic position (SEP) and family characteristics (FC). There is limited research on the extent to which FC account for a socioeconomic gradient in childhood overweight. This study examined whether FC explain SEP differences in the prevalence of overweight. The study used baseline data of preschool-aged children from the German ‘PReschool INtervention Study’. The sample (n = 872, 48% girls) was recruited at kindergartens in Baden-Württemberg, Germany. Data included children’s measured weight status and parents’ reports on socioeconomic indicators (e.g., school education, vocational education, income) and FC. Variables represent main determinants of overweight (nutrition: sweets consumption in front of TV, soft drink consumption, regular breakfast, child sets table; physical activity: outdoor sports; parental role model). In single mediation analyses indirect effects of SEP on overweight were analysed (OR[95%CI]). Preschool girls and boys with low parental education had higher odds for overweight than children with high parental education. Among boys, low levels of parental education contributed to the odds of overweight via indirect effects by both factors ‘sweets consumption in front of TV’ (OR = 1.31[1.05–1.59]) and ‘no sports’ (OR = 1.14[1.01–1.38]). Among girls, FC measured did not explain SEP differences in overweight. Family nutrition and parental/family physical activity contribute to inequalities in overweight among preschool boys, but not girls. Research is needed to identify FC that explain inequalities in overweight for both.
Health inequalities start early in life. The time of young adulthood, between late teens and early twenties, is especially interesting in this regard. This time of emerging adulthood, the transition from being a child to becoming an adult, is characterised by the detachment from parents and establishing of an own independent life. From a health inequality perspective, the question about the importance of the socio-economic background of parents is important. University students are an especially interesting group. Many students come from a privileged background and the question of health inequality among university students has not yet been properly studied. Based on the National Educational Panel Study (NEPS), we analysed health inequalities among 9,000 students in Germany (Ø 20 years in the first year of their studies) over a period of eight years. We found that university students in Germany report a good and very good health. Yet, we still found substantial health inequalities. Students whose parents had a higher occupational status also reported less health problems. We were also able to tie health inequality on health behaviour, psychosocial resources, and material conditions.
Einleitung Die J1 ist eine Vorsorgeuntersuchung, die für Kinder zwischen 12 und 14 Jahren empfohlen ist. Im Gegensatz zu den etablierten U1- bis U9-Untersuchungen für jüngere Kinder mit Teilnahmeraten über 90% liegt die Teilnahme bei der J1 bei etwa 40%. Ein Grund für die mangelnde Teilnahme an der J1 ist die geringe Bekanntheit bei Eltern und Kindern. Mehrere Bundesländer haben Einladungswesen eingeführt, um Jugendliche zur Teilnahme an der J1 zu motivieren. Die Einladung „Dein Ticket zur J1“ wurde Mitte 2017 in Bayern eingeführt. Das „Ticket“ ist ein Informationsflyer über die J1 in einer jugendgerechten Gestaltung. Die vorliegende Analyse untersuchte, ob die regionale Informationskampagne zu einer Steigerung der Teilnahme an der J1 geführt hat, ob die Effekte mit dem sozioökonomischen Status der Familie (SES) variieren und welche Meso-Ebene-Merkmale des Gesundheitssystems mit der J1-Teilnahme korrelieren.
Methoden Um die Wirkung der Intervention zu untersuchen, wurden bundesweite anonymisierte Routinedaten der Techniker Krankenkasse aus den Jahren 2016-2018 sowie ein Difference-in-Differences-Design auf individueller Ebene verwendet. Unter der Annahme eines parallelen Trends auf Bundesländerebene wurde die J1-Teilnahme von 13- und 14-Jährigen in Bayern mit anderen Bundesländern vor und nach der Intervention verglichen. Zusätzlich wurde die Analyse für die verschiedenen SES-Gruppen durchgeführt. Wir untersuchten auch, ob Faktoren auf Mesoebene des Gesundheitssystems mit der Teilnahme an der J1 korrelierten.
Ergebnisse Die Einführung von „Dein Ticket zur J1“ erhöhte die Teilnahme an der J1 um 1 %. Obwohl eine höhere Bildung und berufliche Stellung der Eltern positiv mit der J1-Teilnahme korrelierten, war der Effekt der Intervention bei Kindern aus Familien mit niedrigerem SES stärker (Anstieg um 5 %). Die Kinderarztdichte auf Kreisebene korrelierte zudem positiv mit der Teilnahme an der J1.
Schlussfolgerung Die Intervention hat das Potenzial, die sozioökonomische Ungleichheit bei der Inanspruchnahme von Gesundheitsleistungen zu verringern, da die Effekte für Kinder aus Familien mit niedrigerem SES stärker waren. Es bedarf jedoch weiterer Maßnahmen, um Jugendliche über die J1 und die damit verbundenen gesundheitlichen Vorteile zu informieren. Zukünftige Studien sollten untersuchen, von welchen weiteren Faktoren die Wirksamkeit der Intervention abhängt, wie z. B. die Art und Anzahl der Kommunikationskanäle.