Family Partner: study protocol for a pilot randomised study of a home-visitation intervention in Norway.

AIM: Every year, about 5% of children in Norway experience severe child maltreatment and need support from the child welfare services. However, research-supported interventions for this group are lacking. The current study piloted an intensive home-visitation intervention, Family Partner, which aims to reduce child maltreatment among at-risk parents by improving parental skills, agency and trust in the welfare services, and children's well-being. The randomised controlled trial piloted in this study examines the acceptability of the Family Partner intervention for staff and families and evaluates its feasibility for a full-scale randomised controlled trial. METHODS: This protocol outlines a prospective, parallel, pilot randomised trial of the Family Partner intervention in three Norwegian municipal child welfare services. The participants are families with children under 12 years of age, where the parents are identified as having challenges. Families in the treatment group receive the Family Partner intervention, while families in the control group receive ordinary child welfare services. Data are collected at baseline, and at 3, 6, 12 and 18 months after recruitment. The pilot study monitor retention and adherence to inform the feasibility of a future full-scale randomised study. To assess the acceptability of the trial and intervention, a subsample of the participating families, as well as the family partners and representatives of the child welfare services in each municipality, are invited to complete qualitative interviews. CONCLUSIONS: The results will guide the design of a fully powered randomised controlled trial of the Family Partner intervention compared with ordinary child welfare services. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT04957394; Pilot Trial of Family Partner: a Child Maltreatment Prevention Intervention (FAMPART); registered on 12 July 2021.

Improving interprofessional collaboration in schools: A cluster-randomized study evaluating the effectiveness of the LOG model on collaboration practices.

Although interprofessional collaboration is emphasized as important in schools, little is known about how it should be organized. We analyzed the effects of an organizational model of interprofessional collaboration, the LOG model. The model aims to improve interprofessional collaboration by identifying and improving various meeting places for collaboration, involving municipal school leaders, principals, staff, and interprofessional collaborators, and by increasing feedback from meeting places in and around schools. In a cluster-randomized design including 35 Norwegian primary schools, 19 schools were randomized to the experimental group and implemented the LOG model, and 16 were randomized to a control group. A total of 142 interprofessional collaborators (e.g., school nurses, social workers, and principals) received a questionnaire prior to randomization, with one- and two-year follow-up. Using a validated scale to measure interprofessional team collaboration, we evaluated the effects of the model on collaborators' perceptions in four dimensions: (a) Reflection on process, (b) Professional flexibility, (c) Newly created professional activities, and (d) Role interdependence. During the first, but not the second year of follow-up, the results demonstrated positive and statistically significant effects of the LOG model on the dimensions Reflection on process (p< .001) and Newly created professional activities (p= .016). Our findings demonstrate the potential of interventions addressing interprofessional collaboration at the organizational level.

Improving interprofessional collaboration in Norwegian primary schools: A cluster-randomized study evaluating effects of the LOG model on teachers' perceptions of interprofessional collaboration.

Increased demand for interprofessional collaboration within the educational field also increases the need for the development and evaluation of interventions to improve collaboration. In Norway, the LOG model was developed and implemented in compulsory schools to facilitate interprofessional collaboration by increasing arenas for more efficient use of existing interprofessional resources. We evaluate the effects of the model on teachers' perceptions of interprofessional collaboration in a cluster-randomized trial, with 19 schools randomized to the experimental group and 16 schools to the control group. We use data from 5th-7th grade teachers in the 35 participating schools (N = 157) prior to randomization and one-year into the implementation. Response rates were 70% and 74%, respectively. The PINCOM-Q scale was used to analyze effects of the model on various dimensions of interprofessional collaboration. At the one-year follow-up, the LOG model demonstrates no significant effects on teachers' perceptions of interprofessional collaboration. However, there is an indication of effect on the organizational aim dimension (ES = -0.39, CI = -0.82-0.03), but the evidence is not conclusive.

Socioeconomic inequalities in health during the Great Recession: A scoping review of the research literature.

Aims: The so-called 'Great Recession' in Europe triggered widespread concerns about population health, as reflected by an upsurge in empirical research on the health impacts of the economic crisis. A growing body of empirical studies has also been devoted to socioeconomic inequalities in health during the Great Recession. The aim of the current study is to summarise this health inequality literature by means of a scoping review. Methods: We have performed a scoping review of the research literature (English language) published in the years 2012-2017. Only empirical papers with (a) health status measured on the individual level, (b) information on socioeconomic position (i.e. employment status, educational level, income/wealth, and/or occupational class), and (c) data from European countries in both pre- and post-crisis years were considered relevant. In total, 49 empirical studies fulfilled these inclusion criteria. Results: The empirical findings in the 49 included studies predominantly show that socioeconomic inequalities in health either increased or remained stable from pre- to post-crisis years. Two-thirds (65%) of the studies found evidence of either increasing or partially increasing health inequalities. Thus, people in lower socioeconomic strata fared worse overall in terms of health during the Great Recession, compared to people with higher socioeconomic status. Conclusions: The Great Recession in Europe tends to be followed by increasing socioeconomic inequalities in health. Policymakers should take note of this finding. Widening socioeconomic inequalities in health is a major cause of concern, in particular if health deterioration among 'vulnerable groups' is caused by accelerating cumulative disadvantages.

Program theory within policy-initiated evaluations: the Norwegian low-income family study.

Using as an example a project where the Norwegian Labor and Welfare Directorate developed a comprehensive model for the follow-up of low-income families, this article demonstrates the process of developing a program theory for policy-initiated interventions. The data consist of interviews with program developers, political documents from early stages, and observations of the program's development. The results demonstrate that, although research inspired the program developers, the program was also the outcome of policy priorities, experiences from earlier projects, and input from the practice field. Multiple sources contributed to its relevance for the practice field, however, increasing its complexity. The program includes several intervention levels and follow-up areas and partially builds on elements found to be important across interventions. Although a program theory can be difficult to conceptualize within policy-initiated interventions, it is important to articulate it prior to evaluation and, if necessary, reassess it when data have been analyzed.

Success and failure in narrowing the disability employment gap: comparing levels and trends across Europe 2002-2014.

BACKGROUND: International comparisons of the disability employment gap are an important driver of policy change. However, previous comparisons have used the European Union Statistics on Income and Living Conditions (EU-SILC), despite known comparability issues. We present new results from the higher-quality European Social Survey (ESS), compare these to EU-SILC and the EU Labour Force Survey (EU-LFS), and also examine trends in the disability employment gap in Europe over the financial crisis for the first time. METHODS: For cross-sectional comparisons of 25 countries, we use micro-data for ESS and EU-SILC for 2012 and compare these to published EU-LFS 2011 estimates. For trend analyses, we use seven biannual waves of ESS (2002-2014) with a total sample size of 182,195, and annual waves of EU-SILC (2004-2014) with a total sample size of 2,412,791. RESULTS: (i) Cross-sectional: countries that have smaller disability employment gaps in one survey tend to have smaller gaps in the other surveys. Nevertheless, there are some countries that perform badly on the lower-quality surveys but better in the higher-quality ESS. (ii) Trends: the disability employment gap appears to have declined in ESS by 4.9%, while no trend is observed in EU-SILC - but this has come alongside a rise in disability in ESS. CONCLUSIONS: There is a need for investment in disability measures that are more comparable over time/space. Nevertheless, it is clear to policymakers there are some countries that do consistently well across surveys and measures (Switzerland), and others that do badly (Hungary).

Health trends in the wake of the financial crisis-increasing inequalities?

AIM: The financial crisis that hit Europe in 2007-2008 and the corresponding austerity policies have generated concern about increasing health inequalities, although impacts have been less salient than initially expected. One explanation could be that health inequalities emerged first a few years into the crisis. This study investigates health trends in the wake of the financial crisis and analyses health inequalities across a number of relevant population subgroups, including those defined by employment status, age, family type, gender, and educational attainment. METHODS: This study uses individual-level panel data (EU-SILC, 2010-2013) to investigate trends in self-rated health. By applying individual fixed effects regression models, the study estimates the average yearly change in self-rated health for persons aged 15-64 years in 28 European countries. Health inequalities are investigated using stratified analyses. RESULTS: Unemployed respondents, particularly those who were unemployed in all years of observation, had a steeper decline in self-rated health than the employed. Respondents of prime working age (25-54 years) had a steeper decline than their younger (15-24) and older (55-64) counterparts, while single parents had a more favorable trend in self-rated health than dual parents. We did not observe any increasing health inequalities based on gender or educational attainment. CONCLUSIONS: Health inequalities increased in the wake of the financial crisis, especially those associated with employment status, age, and family type. We did not observe increasing health inequalities in terms of levels of educational attainment and gender.

Material deprivation and health: a longitudinal study.

BACKGROUND: Does material deprivation affect the consequences of ill health? Answering this question requires that we move beyond the effects of income. Longitudinal data on material deprivation, longstanding illness and limiting longstanding illness enables investigations of the effects of material deprivation on risk of limiting longstanding illness. This study investigates whether a shift from affording to not affording a car predicts the probability of limiting longstanding ill (LLSI). METHODS: The 2008-2011 longitudinal panel of Statistics on Income, Social Inclusion and Living Conditions (EU-SILC) is utilised. Longitudinal fixed effects logit models are applied, using LLSI as dependent variable. Transition from affording a car to not affording a car is used as a proxy for material deprivation. All models are controlled for whether the person becomes longstanding ill (LSI) as well as other time-variant covariates that could affect the results. RESULTS: The analysis shows a statistically significant increased odds ratio of LLSI when individuals no longer can afford a car, after controlling for confounders and LSI in the previous year (1.129, CI = 1.022-1.248). However, when restricting the sample to observations where respondents report longstanding illness the results are no longer significant (1.032, CI = 0.910-1.171). CONCLUSION: The results indicate an individual level effect of material deprivation on LLSI, suggesting that material resources can affect the consequences of ill health.

The Effects of Skill Training on Social Workers' Professional Competences in Norway: Results of a Cluster-Randomised Study.

Using a cluster-randomised design, this study analyses the effects of a government-administered skill training programme for social workers in Norway. The training programme aims to improve social workers' professional competences by enhancing and systematising follow-up work directed towards longer-term unemployed clients in the following areas: encountering the user, system-oriented efforts and administrative work. The main tools and techniques of the programme are based on motivational interviewing and appreciative inquiry. The data comprise responses to baseline and eighteen-month follow-up questionnaires administered to all social workers (n = 99) in eighteen participating Labour and Welfare offices randomised into experimental and control groups. The findings indicate that the skill training programme positively affected the social workers' evaluations of their professional competences and quality of work supervision received. The acquisition and mastering of combinations of specific tools and techniques, a comprehensive supervision structure and the opportunity to adapt the learned skills to local conditions were important in explaining the results.

Health effects of unemployment in Europe (2008-2011): a longitudinal analysis of income and financial strain as mediating factors.

BACKGROUND: Unemployment has a number of negative consequences, such as decreased income and poor self-rated health. However, the relationships between unemployment, income, and health are not fully understood. Longitudinal studies have investigated the health effect of unemployment and income separately, but the mediating role of income remains to be scrutinized. Using longitudinal data and methods, this paper investigates whether the effect of unemployment on self-rated health (SRH) is mediated by income, financial strain and unemployment benefits. METHODS: The analyses use data from the longitudinal panel of European Union Statistics on Income and Living Conditions (EU-SILC) over the 4 years of 2008 to 2011. Individual fixed effects models are applied, estimating the longitudinal change in SRH as people move from employment to unemployment, and investigating whether this change is reduced after controlling for possible mediating mechanisms, absolute income change, relative income change, relative income rank, income deprivation, financial strain, and unemployment benefits. RESULTS: Becoming unemployed is associated with decreased SRH (-0.048, SE 0.012). This decrease is 19 % weaker (-0.039, SE 0.010) after controlling for change in financial strain. Absolute and relative changes in household equalized income, as well as changes in relative rank and transitions into income deprivation, are not found to be associated with change in SRH. CONCLUSIONS: Financial strain is found to be a potential mediator of the individual health effect of unemployment, while neither absolute income, relative income, relative rank, income deprivation nor unemployment benefits are found to be mediators of this relationship.

Individual-level changes in self-rated health before and during the economic crisis in Europe.

BACKGROUND: Changes over time in self-rated health (SRH) are increasingly documented during the current economic crisis, though whether these are due to selection, causation, or methodological artefacts is unclear. This study accordingly investigates changes in SRH, and social inequalities in these changes, before and during the economic crisis in 23 European countries. METHODS: We used balanced panel data, 2005-2011, from the European Union Statistics on Income and Living Conditions (EU-SILC). We included the working-age population (25-60 years old) living in 23 European countries. The data cover 65,618 respondents, 2005-2007 (pre-recession cohort), and 43,188 respondents, 2008-2011 (recession cohort). The data analyses used mixed-effects ordinal logistic regression models considering the degree of recession (i.e., pre, mild, and severe). RESULTS: Individual-level changes in SRH over time indicted a stable trend during the pre-recession period, while a significant increasing trend in fair and poor SRH was found in the mild- and severe-recession cohorts. Micro-level demographic and socio-economic status (SES) factors (i.e., age, gender, education, and transitions to employment/unemployment), and macro-level factors such as welfare generosity are significantly associated with SRH trends across the degrees of recession. CONCLUSIONS: The current economic crisis accounts for an increasing trend in fair and poor SRH among the general working-age population of Europe. Despite the general SES inequalities in SRH, the health of vulnerable groups has been affected the same way before and during the current recession.

Unemployment transitions and self-rated health in Europe: A longitudinal analysis of EU-SILC from 2008 to 2011.

The Great Recession of 2008 has led to elevated unemployment in Europe and thereby revitalised the question of causal health effects of unemployment. This article applies fixed effects regression models to longitudinal panel data drawn from the European Union Statistics on Income and Living Conditions for 28 European countries from 2008 to 2011, in order to investigate changes in self-rated health around the event of becoming unemployed. The results show that the correlation between unemployment and health is partly due to a decrease in self-rated health as people enter unemployment. Such health changes vary by country of domicile, and by individual age; older workers have a steeper decline than younger workers. Health changes after the unemployment spell reveal no indication of adverse health effects of unemployment duration. Overall, this study indicates some adverse health effects of unemployment in Europe--predominantly among older workers.