Usability of the experience sampling method in specialized mental healthcare:A pilot study

Background:Although mental health problems occur in interaction with the natural environment, bringing this contextualized information into the therapy room is challenging. The experience sampling method (ESM) may facilitate this by assessing clients' thoughts, feelings, symptoms, and behavior as they are experienced in everyday life. However, ESM is still primarily used in research settings with little uptake in clinical practice. One aspect that may facilitate clinical implementation concerns the use of 'ESM protocols', which involves providing practitioners with ready-to-use ESM questionnaires, sampling schemes, visualizations, and training.Objective:This pilot study's objective was to evaluate the usability of an ESM protocol in clinical practice using a mixed-methods approach.Methods:In this pilot study, we created an ESM protocol and tested its usability in clinical practice. The ESM protocol was tailored to the m-Path software platform, consisting of a dashboard for practitioners and an app for clients. The dashboard was used to configure an ESM questionnaire template we designed. Additionally, the dashboard contained custom data visualizations that were made based on end-user feedback. The app was used for completing ESM assessments. A total of 8 practitioners and 17 clients used ESM in practice between December 2020 and July 2021. Usability was assessed using questionnaires, ESM compliance rates, and semi-structured interviews.Results:The usability was overall rated reasonable to good by practitioners (Mean scores to usability items ranging from 5.33 [SD = 0.91] to 6.06 [SD = 0.73] on a cale from 1 to 7]). However, practitioners expressed difficulty personalizing the template and reported insufficient guidelines on how to use ESM in clinical practice. On average, clients completed 55% (SD=25%) of the ESM questionnaires. They rated the usability as reasonable to good but slightly lower and more variable than the practitioners (mean scores to usability items ranging from 4.18 [SD = 1.7] to 5.94 [SD = 1.5] on a cale from 1 to 7). Clients also voiced several concerns over the piloted ESM template, with some indicating no interest in the continued use of ESM.Conclusions:The findings suggest that using an ESM protocol may facilitate the implementation of ESM as a mobile health assessment tool in psychiatry. However, further adaptions should be made prior to further implementation. Adaptions include training on personalizing questionnaires, adding additional sampling scheme formats, and creating a dynamic data visualization interface. Future studies should also identify factors determining the suitability of ESM for specific treatment goals among different client populations

A computer-assisted motivational social network intervention to reduce alcohol, drug and HIV risk behaviors among Housing First residents.

BackgroundIndividuals transitioning from homelessness to housing face challenges to reducing alcohol, drug and HIV risk behaviors. To aid in this transition, this study developed and will test a computer-assisted intervention that delivers personalized social network feedback by an intervention facilitator trained in motivational interviewing (MI). The intervention goal is to enhance motivation to reduce high risk alcohol and other drug (AOD) use and reduce HIV risk behaviors.Methods/designIn this Stage 1b pilot trial, 60 individuals that are transitioning from homelessness to housing will be randomly assigned to the intervention or control condition. The intervention condition consists of four biweekly social network sessions conducted using MI. AOD use and HIV risk behaviors will be monitored prior to and immediately following the intervention and compared to control participants' behaviors to explore whether the intervention was associated with any systematic changes in AOD use or HIV risk behaviors.DiscussionSocial network health interventions are an innovative approach for reducing future AOD use and HIV risk problems, but little is known about their feasibility, acceptability, and efficacy. The current study develops and pilot-tests a computer-assisted intervention that incorporates social network visualizations and MI techniques to reduce high risk AOD use and HIV behaviors among the formerly homeless. CLINICALTRIALS.Gov identifierNCT02140359

Grasp Your Pain: A Tangible Tool to Explore the Logging and Assessment of Pain

Pain is a subjective and innate experience that can be difficult to describe. Chronic pain is associated with decreased quality of life, and it is prevalent in cancer populations. With a growing elderly population, the global cancer burden is expected to rapidly advance in the coming years. Expressing pain and symptom experiences is essential for patients to receive proper treatment and care. Self-reporting tools are useful and reliable measures of patients' symptoms. A commonly used assessment form in palliative care is ESAS-r, the revised Edmonton Symptom Assessment System. It lets the patient rate a list of symptoms, on a scale from 0 to 10, depending on their intensity. Research suggests that ESAS-r only captures a snapshot of the patients' symptom profile, and that is burdensome to patients and clinical staff. There is a need for self-assessment tools that are easy to use, non-intrusive, and can be used in situ. The research in this thesis explores the use of a tangible tool (Grasp), and squeezing as an input method to log pain/symptoms experiences. Grasp consists of a small stone-like object. When squeezed, it logs the time and duration of the interaction. Squeezes are then visualized on an accompanying interface. Through a Mixed Methods Research approach, a pilot study and clinical trial were conducted. The former gathered participant (N=8) opinions on Grasp, and the use of squeeze duration to log experiences. The latter explored the implementation of Grasp alongside ESAS-r in a cancer ward (nurses = 6, patients = 8). Two broad research questions were examined: RQ1: How can tangible interaction through Grasp support the logging of experiences? and RQ2: How do palliative cancer patients and nurses experience Grasp as a tool for the logging, assessment, and communication of pain and symptoms compared to ESAS-r? Findings from the pilot suggest that there is potential in using Grasp and squeeze duration to log events, and that interacting with the tool potentially can help distract or externalize from negative experiences. Participants from both studies found Grasp easy to use, and visualizations intuitive and meaningful. Nurses and patients were generally satisfied with Grasp as a tool, and it helped paint a wider image of the patients' symptoms compared to ESAS-r alone. However, patients were sometimes too ill to use Grasp, and the research was limited by barriers related to clinical environments. Further research is needed to explore the potential of tangible interaction and squeezing as an input method with other patient groups. There is also the aspect of the affective interaction that should be investigated further.Masteroppgave i informasjonsvitenskapINFO390MASV-INF

Emotions in context: examining pervasive affective sensing systems, applications, and analyses

Pervasive sensing has opened up new opportunities for measuring our feelings and understanding our behavior by monitoring our affective states while mobile. This review paper surveys pervasive affect sensing by examining and considering three major elements of affective pervasive systems, namely; “sensing”, “analysis”, and “application”. Sensing investigates the different sensing modalities that are used in existing real-time affective applications, Analysis explores different approaches to emotion recognition and visualization based on different types of collected data, and Application investigates different leading areas of affective applications. For each of the three aspects, the paper includes an extensive survey of the literature and finally outlines some of challenges and future research opportunities of affective sensing in the context of pervasive computing

A robot hand testbed designed for enhancing embodiment and functional neurorehabilitation of body schema in subjects with upper limb impairment or loss.

Many upper limb amputees experience an incessant, post-amputation "phantom limb pain" and report that their missing limbs feel paralyzed in an uncomfortable posture. One hypothesis is that efferent commands no longer generate expected afferent signals, such as proprioceptive feedback from changes in limb configuration, and that the mismatch of motor commands and visual feedback is interpreted as pain. Non-invasive therapeutic techniques for treating phantom limb pain, such as mirror visual feedback (MVF), rely on visualizations of postural changes. Advances in neural interfaces for artificial sensory feedback now make it possible to combine MVF with a high-tech "rubber hand" illusion, in which subjects develop a sense of embodiment with a fake hand when subjected to congruent visual and somatosensory feedback. We discuss clinical benefits that could arise from the confluence of known concepts such as MVF and the rubber hand illusion, and new technologies such as neural interfaces for sensory feedback and highly sensorized robot hand testbeds, such as the "BairClaw" presented here. Our multi-articulating, anthropomorphic robot testbed can be used to study proprioceptive and tactile sensory stimuli during physical finger-object interactions. Conceived for artificial grasp, manipulation, and haptic exploration, the BairClaw could also be used for future studies on the neurorehabilitation of somatosensory disorders due to upper limb impairment or loss. A remote actuation system enables the modular control of tendon-driven hands. The artificial proprioception system enables direct measurement of joint angles and tendon tensions while temperature, vibration, and skin deformation are provided by a multimodal tactile sensor. The provision of multimodal sensory feedback that is spatiotemporally consistent with commanded actions could lead to benefits such as reduced phantom limb pain, and increased prosthesis use due to improved functionality and reduced cognitive burden

Information for Impact: Liberating Nonprofit Sector Data

This paper explores the costs and benefits of four avenues for achieving open Form 990 data: a mandate for e-filing, an IRS initiative to turn Form 990 data into open data, a third-party platform that would create an open database for Form 990 data, and a priori electronic filing. Sections also discuss the life and usage of 990 data. With bibliographical references

Wrangling environmental exposure data: guidance for getting the best information from your laboratory measurements.

BACKGROUND:Environmental health and exposure researchers can improve the quality and interpretation of their chemical measurement data, avoid spurious results, and improve analytical protocols for new chemicals by closely examining lab and field quality control (QC) data. Reporting QC data along with chemical measurements in biological and environmental samples allows readers to evaluate data quality and appropriate uses of the data (e.g., for comparison to other exposure studies, association with health outcomes, use in regulatory decision-making). However many studies do not adequately describe or interpret QC assessments in publications, leaving readers uncertain about the level of confidence in the reported data. One potential barrier to both QC implementation and reporting is that guidance on how to integrate and interpret QC assessments is often fragmented and difficult to find, with no centralized repository or summary. In addition, existing documents are typically written for regulatory scientists rather than environmental health researchers, who may have little or no experience in analytical chemistry. OBJECTIVES:We discuss approaches for implementing quality assurance/quality control (QA/QC) in environmental exposure measurement projects and describe our process for interpreting QC results and drawing conclusions about data validity. DISCUSSION:Our methods build upon existing guidance and years of practical experience collecting exposure data and analyzing it in collaboration with contract and university laboratories, as well as the Centers for Disease Control and Prevention. With real examples from our data, we demonstrate problems that would not have come to light had we not engaged with our QC data and incorporated field QC samples in our study design. Our approach focuses on descriptive analyses and data visualizations that have been compatible with diverse exposure studies with sample sizes ranging from tens to hundreds of samples. Future work could incorporate additional statistically grounded methods for larger datasets with more QC samples. CONCLUSIONS:This guidance, along with example table shells, graphics, and some sample R code, provides a useful set of tools for getting the best information from valuable environmental exposure datasets and enabling valid comparison and synthesis of exposure data across studies

Screening for breast cancer : medicalization, visualization and the embodied experience

Women’s perspectives on breast screening (mammography and breast awareness) were explored in interviews with midlife women sampled for diversity of background and health experience. Attending mammography screening was considered a social obligation despite women’s fears and experiences of discomfort. Women gave considerable legitimacy to mammography visualizations of the breast, and the expert interpretation of these. In comparison, women lacked confidence in breast awareness practices, directly comparing their sensory capabilities with those of the mammogram, although mammography screening did not substitute breast awareness in a straightforward way. The authors argue that reliance on visualizing technology may create a fragmented sense of the body, separating the at risk breast from embodied experience