Correlates of mothers' perception of their communities' social capital: a community-based study.

Psychosocial issues have been recognized as important factors in children's health for decades. This study documents the relation among several important psychosocial variables (e.g., mothers' depressive symptoms) and a new instrument that assesses parents' perception of their communities' social capital. Mothers were recruited from their children's primary care (PC) pediatricians' offices within the Southwestern Ohio Ambulatory Research Network or from a children's hospital developmental clinic (DC). Mothers completed a questionnaire that included the Social Capital Scale (SCS), Children with Special Health Care Needs Screener (CSHCNS), Pediatric Quality of Life Inventory, Maternal Social Support Index and the Center for Epidemiologic Studies Depression Scale (CES-D). Mothers were sorted into three subgroups based on site of recruitment (PC or DC) and results of the CSHCNS. The sample (N = 620) was also sorted into terciles based on SCS scores. Mean SCS was about 73 for each of the three subgroups. Compared to mothers in the highest SCS tercile, mothers in the lowest SCS tercile reported lower education, lower income and higher CES-D median scores. The SCS subscale "sense of belonging" had an inverse correlation with CES-D scores (r = -.248, p < 0.001). Mothers from primary care and sub-specialty clinics had similar perceptions about their communities' social capital. Compared to mothers in the highest one third of SCS scores, mothers in the lowest one third were more likely to report less education and income as well as more depressive symptoms. A decreased sense of belonging in their communities was also correlated with more depressive symptoms. The SCS is a new useful tool for investigators and clinicians who work with children and their families.

Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI.

Tinnitus is the perception of a phantom sound and the patient's reaction to it. Although much progress has been made, tinnitus remains a scientific and clinical enigma of high prevalence and high economic burden, with an estimated prevalence of 10%-20% among the adult population. The EU is funding a new collaborative project entitled "Unification of Treatments and Interventions for Tinnitus Patients" (UNITI, grant no. 848261) under its Horizon 2020 framework. The main goal of the UNITI project is to set the ground for a predictive computational model based on existing and longitudinal data attempting to address the question of which treatment or combination of treatments is optimal for a specific patient group based on certain parameters. Clinical, epidemiological, genetic and audiological data, including signals reflecting ear-brain communication, as well as patients' medical history, will be analyzed making use of existing databases. Predictive factors for different patient groups will be extracted and their prognostic relevance validated through a Randomized Clinical Trial (RCT) in which different patient groups will undergo a combination of tinnitus therapies targeting both auditory and central nervous systems. From a scientific point of view, the UNITI project can be summarized into the following research goals: (1) Analysis of existing data: Results of existing clinical studies will be analyzed to identify subgroups of patients with specific treatment responses and to identify systematic differences between the patient groups at the participating clinical centers. (2) Genetic and blood biomarker analysis: High throughput Whole Exome Sequencing (WES) will be performed in well-characterized chronic tinnitus cases, together with Proximity Extension Assays (PEA) for the identification of blood biomarkers for tinnitus. (3) RCT: A total of 500 patients will be recruited at five clinical centers across Europe comparing single treatments against combinational treatments. The four main treatments are Cognitive Behavioral Therapy (CBT), hearing aids, sound stimulation, and structured counseling. The consortium will also make use of e/m-health applications for the treatment and assessment of tinnitus. (4) Decision Support System: An innovative Decision Support System will be implemented, integrating all available parameters (epidemiological, clinical, audiometry, genetics, socioeconomic and medical history) to suggest specific examinations and the optimal intervention strategy based on the collected data. (5) Financial estimation analysis: A cost-effectiveness analysis for the respective interventions will be calculated to investigate the economic effects of the interventions based on quality-adjusted life years. In this paper, we will present the UNITI project, the scientific questions that it aims to address, the research consortium, and the organizational structure.