Neuropsychiatric symptoms (NPS) are common in affected individuals and can be challenging for (in)formal caregivers. Therefore, they are also referred to as challenging behaviors (CBs). Sensor technology measuring context and behavior can be assistive to effectively manage CBs in an objective fashion. Sensors can help support healthcare professionals, such as nurses, by enabling remote monitoring and alarming on early-stage behavioral changes associated with CBs. This might/ will improve the quality of life (QoL) for both caregivers and clients living in a nursing homes (NH).

In the project “MOnitoring Onbegrepen Gedrag bij Dementie met sensortechnologie” (MOOD-Sense), we aim to develop such a monitoring system. Our research focuses on two questions 1) How to develop and implement a monitoring system within the context of nursing homes with parameters on environment, physiology, and behavior, identify and process relevant precursors of challenging behavior with this monitoring system and 2) gain insight in which behaviors are challenging according to nurses and how they are described. This will be represented in an ontology such that sensor data can be translated into the same conceptual information.

The first research question will be examined with a set of experiments in the field (in NH) with an iterative approach. Insights from previous experiments on usability and added value of sensors will be used to improve successive experiments. During each experiment, multiple participants (clients with dementia and CBs) are monitored with both ambient and wearable sensors. For the second research question a qualitative approach is employed, using focus groups (FG) and consensus methods. These FGs will be held amongst nursing staff who are involved in daily care tasks for people with dementia. Subsequently, consensus methods are used to align behavioral descriptors/labels.

early findings will be presented at the symposium

Within this project we expect to find precursors of challenging behavior in a personalized fashion based on nurse’s expert knowledge and sensor data. In order to develop a monitoring system that can be embedded within NH’s, real-time alarming, in-situ behavior recognition and trustworthiness are part of our technological requirements. Just-in-time interventions may then be deployed to prevent behavior escalation or the persistence of undesirable situations.

Since 2011, the prices for all new drugs in Germany are negotiated based on a benefit assessment. The purpose of this study was to analyze the price regulation of drugs with unproven additional benefit.

Benefit assessment procedures from 2011 to 2020 were reviewed and selected through AMNOG Monitor and Lauer Taxe. Negotiated annual therapy costs, the annual costs of the most cost-efficient appropriate comparative therapy (ACT) and the potential budget impact for 33 included procedures were calculated.

55% of the included drugs achieved a negotiated price higher than the most cost-efficient ACT, 3% were identified as equal and 42% showed lower negotiated prices. The potential savings exceeded expenditures by around EUR 523.5 m. After price flexibility was adopted by the legislator in 2017, the overall potential savings still outweighed the expenditures by around EUR 62 m.

Our analysis shows that making price negotiations more flexible by law does not undermine the fundamental aim of the AMNOG, which is to avoid additional expenditure without increased patient benefit. The regulation can thus fulfill the objective provided by the legislature of keeping drugs without proven additional benefits in the German healthcare system.

Brain imaging studies have shown altered amygdala activity during emotion processing in children and adolescents with oppositional defiant disorder (ODD) and conduct disorder (CD) compared to typically developing children and adolescents (TD). Here we aimed to assess whether aggression-related subtypes (reactive and proactive aggression) and callous-unemotional (CU) traits predicted variation in amygdala activity and skin conductance (SC) response during emotion processing.

We included 177 participants (n = 108 cases with disruptive behaviour and/or ODD/CD and n = 69 TD), aged 8–18 years, across nine sites in Europe, as part of the EU Aggressotype and MATRICS projects. All participants performed an emotional face-matching functional magnetic resonance imaging task.

Differences between cases and TD in affective processing, as well as specificity of activation patterns for aggression subtypes and CU traits, were assessed. Simultaneous SC recordings were acquired in a subsample (n = 63). Cases compared to TDs showed higher amygdala activity in response to negative faces (fearful and angry) v. shapes. Subtyping cases according to aggression-related subtypes did not significantly influence on amygdala activity; while stratification based on CU traits was more sensitive and revealed decreased amygdala activity in the high CU group. SC responses were significantly lower in cases and negatively correlated with CU traits, reactive and proactive aggression.

Our results showed differences in amygdala activity and SC responses to emotional faces between cases with ODD/CD and TD, while CU traits moderate both central (amygdala) and peripheral (SC) responses. Our insights regarding subtypes and trait-specific aggression could be used for improved diagnostics and personalized treatment.

Little is known about potential harmful effects as a consequence of self-guided internet-based cognitive behaviour therapy (iCBT), such as symptom deterioration rates. Thus, safety concerns remain and hamper the implementation of self-guided iCBT into clinical practice. We aimed to conduct an individual participant data (IPD) meta-analysis to determine the prevalence of clinically significant deterioration (symptom worsening) in adults with depressive symptoms who received self-guided iCBT compared with control conditions. Several socio-demographic, clinical and study-level variables were tested as potential moderators of deterioration.

Randomised controlled trials that reported results of self-guided iCBT compared with control conditions in adults with symptoms of depression were selected. Mixed effects models with participants nested within studies were used to examine possible clinically significant deterioration rates.

Thirteen out of 16 eligible trials were included in the present IPD meta-analysis. Of the 3805 participants analysed, 7.2% showed clinically significant deterioration (5.8% and 9.1% of participants in the intervention and control groups, respectively). Participants in self-guided iCBT were less likely to deteriorate (OR 0.62, p < 0.001) compared with control conditions. None of the examined participant- and study-level moderators were significantly associated with deterioration rates.

Self-guided iCBT has a lower rate of negative outcomes on symptoms than control conditions and could be a first step treatment approach for adult depression as well as an alternative to watchful waiting in general practice.

The present study examines the impact of Health Bucks, a farmers’ market incentive programme, on awareness of and access to farmers’ markets, and fruit and vegetable purchase and consumption in low-income New York City neighbourhoods.

The evaluation used two primary data collection methods: (i) an on-site point-of-purchase survey of farmers’ market shoppers; and (ii) a random-digit-dial telephone survey of residents in neighbourhoods where the programme operates. Additionally, we conducted a quasi-experimental analysis examining differential time trends in consumption before and after programme introduction using secondary Community Health Survey (CHS) data.

New York City farmers’ markets and communities.

Farmers’ market shoppers (n 2287) completing point-of-purchase surveys in a representative sample of New York City farmers’ markets in 2010; residents (n 1025) completing random-digit-dial telephone survey interviews in 2010; and respondents (n 35 606) completing CHS interviews in 2002, 2004, 2008 and 2009.

Greater Health Bucks exposure was associated with: (i) greater awareness of farmers’ markets; (ii) increased frequency and amount of farmers’ market purchases; and (iii) greater likelihood of a self-reported year-over-year increase in fruit and vegetable consumption. However, our CHS analysis did not detect impacts on consumption.

While our study provides promising evidence that use of farmers’ market incentives is associated with increased awareness and use of farmers’ markets, additional research is needed to better understand impacts on fruit and vegetable consumption.