Aim: We aim to gain insight into the interaction between challenging behavior as shown by individuals with an intellectual impairment, and space, and to explore the possibilities of using routinely collected data to this end.Background: Research on challenging behavior shown by intellectually impaired individuals links their behavior to context, which includes space. Unfortunately, research about this link is hard to conduct, since these individuals may have difficulties expressing themselves verbally and react extremely to sensory stimuli.Method: We conducted a single-case study, focusing on a Dutch very-intensive care facility. We analyzed data routinely collected by the healthcare organization in search of time-space configurations that provide insights into the resident–space interaction. As sensitizing concepts, we used three different contexts the residents interact with—space, people, and activities.Findings: The study exemplified reported interactions that were direct, for example, between the residents and the spatial context, and indirect, for example, through other contexts (people and activities). Space impacts on residents’ senses intensely and acts as a lightning rod for their perceived stress. People also influence residents substantially. Caregivers may both have positive or adverse effects, for example, absenteeism or schedule change. Co-residents may trigger challenging behavior directly by a mere presence or transfer of their stress. Transitions between activities cause unpredictability and are triggers for residents, which interact with space.Conclusions: Living environments providing choice in nearness to the caregiver and distance to co-residents “high in tension,” lowering thresholds for transitions, and facilitating predictability would be beneficial for intellectually impaired individuals showing challenging behavior.
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The present study focuses on the level of stress male and female teachers perceive when dealing with the most behaviorally challenging student in his or her classroom. To measure stress in Dutch elementary classrooms, a sample was drawn of 582 teachers. First, they rated the most challenging student in their classroom on six different behavioral components: Against the grain, Full of activity/Easily distractible, Needs a lot of attention/Week student, Easily upset, Failuresyndrome/Excessively perfectionist, and Aggressive/Hostile. Teachers then scored perceived stress as a result of this challenging behavior. Two questions concerning gender relations in class rooms will be addressed. Do female and male teachers select the same type of behaviorally challenging students as the most challenging? And: do they perceive the same level of stress? Our data shows that female teachers do indeed report significantly more incidence of challenging behavior, but no evidence is found for differences between stress levels of male and female teachers.
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The present study focuses on the level of stress a teacher perceives when dealing with the most behaviorally challenging student in his or her classroom. To measure stress in Dutch elementary classrooms, a sample was drawn of 582 teachers. Two questions concerning this relation between student and teacher will be addressed. First of all, we focus on background variables of teachers and students as sources of variation in explaining the magnitude of challenging student behavior and the associated level of stress teachers experience. The second topic of this paper is to accommodate the potentially stressful relationship between student and teacher in a wider network of surrounding variables, which are, Self-efficacy, Negative affect, Autonomy in taking decisions, and Support amongst colleagues. To evaluate the presence of challenging behavior, the behavior of the student is related to more general variables like student responsibility, class size and ratio of boys to girls. We close our paper by assessing the validity of the studied relationship between teacher and student with respect to possible burnout.
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Background Anxiety and challenging behaviour (CB) often occur simultaneously in people with intellectual disabilities (ID). Understanding the associations between anxiety and CB may contribute to more accurate diagnoses and management of both anxiety and CB in this population. Aims To examine the relationship between anxiety and CB. Methods A literature review covering the period from January 2000 to January 2012. Results Seven studies about the relationship between psychiatric disorders, including anxiety, and CB were identified. These studies confirm the relationship between anxiety and CB in people with ID, although the precise nature of this relationship remains unclear. Conclusions The study points toward the existence of a moderate association between anxiety and CB. Further research is needed to clarify the complex nature of the association between anxiety and CB.
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Background: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.Methods: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.Results:early findings will be presented at the symposiumDiscussion: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.
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To improve people’s lives, human-computer interaction researchers are increasingly designing technological solutions based on behavior change theory, such as social comparison theory (SCT). However, how researchers operationalize such a theory as a design remains largely unclear. One way to clarify this methodological step is to clearly state which functional elements of a design are aimed at operationalizing a specific behavior change theory construct to evaluate if such aims were successful. In this article, we investigate how the operationalization of functional elements of theories and designs can be more easily conveyed. First, we present a scoping review of the literature to determine the state of operationalizations of SCT as behavior change designs. Second, we introduce a new tool to facilitate the operationalization process. We term the tool blueprints. A blueprint explicates essential functional elements of a behavior change theory by describing it in relation to necessary and sufficient building blocks incorporated in a design. We describe the process of developing a blueprint for SCT. Last, we illustrate how the blueprint can be used during the design refinement and reflection process.
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Geen samenvatting beschikbaar / No summary available
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Abstract: Combined lifestyle interventions (CLI) are focused on guiding clients with weight-related health risks into a healthy lifestyle. CLIs are most often delivered through face-to-face sessions with limited use of eHealth technologies. To integrate eHealth into existing CLIs, it is important to identify how behavior change techniques are being used by health professionals in the online and offline treatment of overweight clients. Therefore, we conducted online semi-structured interviews with providers of online and offline lifestyle interventions. Data were analyzed using an inductive thematic approach. Thirty-eight professionals with (n = 23) and without (n = 15) eHealth experience were interviewed. Professionals indicate that goal setting and action planning, providing feedback and monitoring, facilitating social support, and shaping knowledge are of high value to improve physical activity and eating behaviors. These findings suggest that it may be beneficial to use monitoring devices combined with video consultations to provide just-in-time feedback based on the client’s actual performance. In addition, it can be useful to incorporate specific social support functions allowing CLI clients to interact with each other. Lastly, our results indicate that online modules can be used to enhance knowledge about health consequences of unhealthy behavior in clients with weight-related health risks.
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Objective. Hospital in Motion is a multidimensional implementation project aiming to improve movement behavior during hospitalization. The purpose of this study was to investigate the effectiveness of Hospital in Motion on movement behavior. Methods. This prospective study used a pre-implementation and post-implementation design. Hospital in Motion was conducted at 4 wards of an academic hospital in the Netherlands. In each ward, multidisciplinary teams followed a 10-month step-by-step approach, including the development and implementation of a ward-specific action plan with multiple interventions to improve movement behavior. Inpatient movement behavior was assessed before the start of the project and 1 year later using a behavioral mapping method in which patients were observed between 9:00 am and 4:00 pm. The primary outcome was the percentage of time spent lying down. In addition, sitting and moving, immobility-related complications, length of stay, discharge destination home, discharge destination rehabilitation setting, mortality, and 30-day readmissions were investigated. Differences between pre-implementation and post-implementation conditions were analyzed using the chi-square test for dichotomized variables, the Mann Whitney test for non-normal distributed data, or independent samples t test for normally distributed data. Results. Patient observations demonstrated that the primary outcome, the time spent lying down, changed from 60.1% to 52.2%. For secondary outcomes, the time spent sitting increased from 31.6% to 38.3%, and discharges to a rehabilitation setting reduced from 6 (4.4%) to 1 (0.7%). No statistical differences were found in the other secondary outcome measures. Conclusion. The implementation of the multidimensional project Hospital in Motion was associated with patients who were hospitalized spending less time lying in bed and with a reduced number of discharges to a rehabilitation setting. Impact. Inpatient movement behavior can be influenced by multidimensional interventions. Programs implementing interventions that specifically focus on improving time spent moving, in addition to decreasing time spent lying, are recommended.
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