Towards an ecological understanding of readiness to engage with interventions for children exposed to domestic violence and abuse: Systematic review and qualitative synthesis of perspectives of children,parents and practitioners

Children who grow up in homes affected by domestic violence and abuse (DVA) are at risk of poor outcomes across the lifespan, yet there is limited evidence on the acceptability and effectiveness of interventions for them. A recent review of child‐focused interventions highlighted a gap in understanding the factors influencing the willingness of parents and children to engage with these programmes. We conducted a systematic review of qualitative evidence on the experiences of receiving and delivering interventions with the aim of identifying factors at different levels of the social–ecological context that may influence parent and child readiness to take up interventions. We searched literature till April 2016 and found 12 reports of eight programmes. Two authors independently screened papers for inclusion, extracted data and identified the first‐ and second‐order constructs. The third‐order constructs were derived and fitted to the ecological framework to inform a picture of readiness to engage with interventions. Three key findings emerged from this review: (a) parent and child readiness is influenced by a complex interplay of individual, relationship and organisational factors, highlighting that individual readiness to take up child‐focussed interventions must be viewed in an ecological context; (b) the specific process through which women become ready to engage in or facilitate child‐focussed interventions may differ from that related to uptake of safety‐promoting behaviours and requires parents to be aware of the impact of DVA on children and to focus on children's needs; (c) there are distinct but interlinked processes through which parents and children reach a point of readiness to engage in an interventions aimed at improving child outcomes. We discuss the implications of these findings for both practice and research.     

A cross‐sectional survey of patients with open surgical wounds in Slovenia

Most surgical wounds heal by primary intention, that is, the wound is closed with sutures, clips, or glue. However, some surgical wounds are either left open to heal from the bottom up (“healing by secondary intention”) or break open partially or fully after primary closure. There is little basic knowledge about the occurrence and natural history of surgical wounds healing by secondary intention (SWHSI); therefore, the aim of this survey was to estimate the number of people with SWHSI in Slovenia, the nature of these wounds, and to investigate how they are managed. A multiservice, cross‐sectional survey was carried out over a 2‐week period in the city of Ljubljana, Slovenia (population 288,919). Healthcare professionals across health and social care settings completed one anonymised form for each patient with a SWHSI. Forms were completed for 110 patients. The point prevalence of SWHSI was 0.38 per 1,000 of the population (95% CI: 0.33–0.44). Patients’ mean age was 50.5 years. The majority of SWHSI were planned to heal by secondary intention before surgery (76/110, 69%). Of SWHSI, 83% (92/110) were treated with wound dressings, and 6% were treated with negative pressure wound therapy. Data were missing for 11 cases. This survey is the first to provide essential information about the extent, nature, and treatment of SWHSI in Slovenia. Furthermore, it is one of the latest of a very small number of studies to have contributed to knowledge about SWHSI globally. The results from the survey can be used for planning future research, health resources management, and policy development.     

Experiences of social work intervention among mothers with perinatal mental health needs

Perinatal mental health difficulties are prevalent among women, and the vulnerability of young infants makes this a time when families experiencing multiple adversities may be particularly likely to attract state intervention. However, very little is known about how mothers experience social work intervention during the perinatal period. This study explored experiences of social work intervention among women with perinatal mental health difficulties. Qualitative semi‐structured interviews were carried out with 18 women with 6‐ to 9‐month‐old babies, who had been treated in England for a perinatal mental health difficulty and also had social services intervention. Interviews were analysed using thematic analysis. Findings suggested that mothers had a predominantly negative view of children's social services, especially when social workers had significant child protection concerns. The fear of being judged an unfit mother and having their babies taken away overshadowed their encounters. Mothers felt that social workers would not accept they could be good mothers in spite of their difficulties and set them up to fail. Some felt that social workers focused exclusively on the risks to the baby and did not acknowledge the mother's own needs or understand perinatal mental health. In some cases, social work intervention was described as intensifying pressure on mothers’ mental health, leading to escalating difficulties and increased likelihood of care proceedings. At the same time, our study also included examples of mothers forming positive relationships with social workers, and of ‘turning points’ where initially negative interactions stabilised and child protection concerns lessened. Women's accounts highlighted the importance of feeling ‘known’ by social workers who understood and respected them. The findings also suggested there may be value in improving collaboration between social workers and mental health professionals to create more space for representation of women's needs as well as those of their babies.     

Diagram-based Analysis of Causal Systems (DACS): elucidating inter-relationships between determinants of acute lower respiratory infections among children in sub-Saharan Africa

Background

Effective interventions require evidence on how individual causal pathways jointly determine disease. Based on the concept of systems epidemiology, this paper develops Diagram-based Analysis of Causal Systems (DACS) as an approach to analyze complex systems, and applies it by examining the contributions of proximal and distal determinants of childhood acute lower respiratory infections (ALRI) in sub-Saharan Africa.

Results

Diagram-based Analysis of Causal Systems combines the use of causal diagrams with multiple routinely available data sources, using a variety of statistical techniques. In a step-by-step process, the causal diagram evolves from conceptual based on a priori knowledge and assumptions, through operational informed by data availability which then undergoes empirical testing, to integrated which synthesizes information from multiple datasets. In our application, we apply different regression techniques to Demographic and Health Survey (DHS) datasets for Benin, Ethiopia, Kenya and Namibia and a pooled World Health Survey (WHS) dataset for sixteen African countries. Explicit strategies are employed to make decisions transparent about the inclusion/omission of arrows, the sign and strength of the relationships and homogeneity/heterogeneity across settings.Findings about the current state of evidence on the complex web of socio-economic, environmental, behavioral and healthcare factors influencing childhood ALRI, based on DHS and WHS data, are summarized in an integrated causal diagram. Notably, solid fuel use is structured by socio-economic factors and increases the risk of childhood ALRI mortality.

Conclusions

Diagram-based Analysis of Causal Systems is a means of organizing the current state of knowledge about a specific area of research, and a framework for integrating statistical analyses across a whole system. This partly a priori approach is explicit about causal assumptions guiding the analysis and about researcher judgment, and wrong assumptions can be reversed following empirical testing. This approach is well-suited to dealing with complex systems, in particular where data are scarce.

     

Salmonella Subtypes with Increased MICs for Azithromycin in Travelers Returned to the Netherlands

Antimicrobial susceptibility was analyzed for 354 typhoidal Salmonella isolates collected during 1999–2012 in the Netherlands. In 16.1% of all isolates and in 23.8% of all isolates that showed increased MICs for ciprofloxacin, the MIC for azithromycin was increased. This resistance may complicate empirical treatment of enteric fever.     

Characterising Lipid Lipolysis and Its Implication in Lipid-Based Formulation Development

Facing the increasing number of poorly water-soluble drugs, pharmaceutical scientists are required to break new grounds for the delivery of these pharmaceutically problematic drugs. Lipid-based drug delivery systems (LBDDS) have received increased interest as a novel drug delivery platform during the last decades and several successfully marketed products have shown the potential for LBDDS. However, there exists a discrepancy between the clear need for innovative delivery forms and their rational design. In the case of LBDDS, this can be attributed to the complexity of LBDDS after administration. Unlike conventional formulations, LBDDS are susceptible to digestion in the gastrointestinal tract, the interplay of delivery system, drug and physiology ultimately effecting drug disposition. In vitro lipolysis has become an important technique to mimic the enzymatic degradation. For the better understanding of how LBDDS promote drug delivery, in vitro lipolysis requires advanced characterisation methods. In this review, the physiological background of lipid digestion is followed by a thorough summary of the techniques that are currently used to characterise in vitro lipolysis. It would be desirable that the increasing knowledge about LBDDS will foster their rationale development thereby increasing their broader application.     

Influence of lipid composition and drug load on the In Vitro performance of self-nanoemulsifying drug delivery systems

The influence of lipid composition and drug load on the in vitro performance of lipid-based drug delivery systems was investigated during dispersion and in vitro lipolysis of two self-nanoemulsifying drug delivery systems (SNEDDS). SNEDDS preconcentrates consisted of the same mass ratios of lipid, surfactant, and cosolvent but varied in the chain length of the lipid component. Utilization of the surfactant Cremophor EL resulted in pronounced changes in the droplet size of dispersed SNEDDS containing increasing drug loads of the poorly water-soluble compound simvastatin (SIM). In contrast, the droplet size of dispersed medium-chain (MC)-SNEDDS based on the surfactant Cremophor RH40 was not affected by increasing drug loads of SIM, whereas the droplet size of the corresponding long-chain (LC)-SNEDDS increased. During 60 min in vitro lipolysis, MC-SNEDDS maintained approximately 95% of SIM in solution, independent of the drug load. At the start of lipolysis of LC-SNEDDS, up to 34% of the drug precipitated. However, the initial precipitate dissolved in the lipolysis medium 30 min after start of in vitro lipolysis. The study suggests that drug load and lipid composition should be considered for the design of SNEDDS. © 2012Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 101:1721–1731, 2012     

Evaluation of the role of location and distance in recruitment in respondent-driven sampling

Background

The purpose of the project was to delineate a series of contiguous neighbourhood-based "Data Zones" within the Region of Peel (Ontario) for the purpose of health data analysis and dissemination. Zones were to be built on Census Tracts (N = 205) and obey a series of requirements defined by the Region of Peel. This paper explores a method that combines statistical analysis with ground-truthing, consultation, and the use of a decision tree.

Data

Census Tract data for Peel were derived from the 2006 Canadian Census Master file.

Methods

Following correlation analysis to reduce the data set, Principal Component Analysis was applied to the data set to reduce the complexity and derive an index. The Getis-Ord Gi*statistic was then applied to look for statistically significant clusters of like Census Tracts. A detailed decision tree for the amalgamation of remaining zones and ground-truthing with Peel staff verified the resulting zones.

Results

A total of 15 Data Zones that are similar with respect to socioeconomic and sociodemographic attributes and that met criteria defined by Peel were derived for the region.

Conclusion

The approach used in this analysis, which was bolstered by a series of checks and balances throughout the process, gives statistical validity to the defined zones and resulted in a robust series of Data Zones for use by Peel Public Health. We conclude by offering insight into alternative uses of the methodology, and limitations.     

Bayesian methods for evidence synthesis in cost-effectiveness analysis

Recently, health systems internationally have begun to use cost-effectiveness research as formal inputs into decisions about which interventions and programmes should be funded from collective resources. This process has raised some important methodological questions for this area of research. This paper considers one set of issues related to the synthesis of effectiveness evidence for use in decision-analytic cost-effectiveness (CE) models, namely the need for the synthesis of all sources of available evidence, although these may not 'fit neatly' into a CE model. Commonly encountered problems include the absence of head-to-head trial evidence comparing all options under comparison, the presence of multiple endpoints from trials and different follow-up periods. Full evidence synthesis for CE analysis also needs to consider treatment effects between patient subpopulations and the use of nonrandomised evidence. Bayesian statistical methods represent a valuable set of analytical tools to utilise indirect evidence and can make a powerful contribution to the decision-analytic approach to CE analysis. This paper provides a worked example and a general overview of these methods with particular emphasis on their use in economic evaluation.