DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic.

Dimensionality reduction techniques are widely used for visualizing high-dimensional data. However, support for interpreting patterns of dimension reduction results in the context of the original data space is often insufficient. Consequently, users may struggle to extract insights from the projections. In this paper, we introduce DimBridge, a visual analytics tool that allows users to interact with visual patterns in a projection and retrieve corresponding data patterns. DimBridge supports several interactions, allowing users to perform various analyses, from contrasting multiple clusters to explaining complex latent structures. Leveraging first-order predicate logic, DimBridge identifies subspaces in the original dimensions relevant to a queried pattern and provides an interface for users to visualize and interact with them. We demonstrate how DimBridge can help users overcome the challenges associated with interpreting visual patterns in projections.

A digital Acceptance and Commitment Therapy and education intervention targeting stress of parents and caregivers with preterm babies in the neonatal intensive care unit: A randomised controlled cluster trial protocol.

BACKGROUND: Parents with babies in the neonatal intensive care unit (NICU) experience high levels of stress, anxiety, and depression. The NICU experience may also lead to impaired parenting and early childhood socio-emotional problems. Psychosocial interventions can reduce NICU parent distress. Yet many are time-intensive and costly to deliver. Acceptance and Commitment Therapy (ACT), an evidence-based psychological therapy, may address these needs. ACT has been shown to be effective in reducing distress of parents of children with chronic illnesses, particularly when combined with parent education. Therefore, the primary aim of this study is to determine if a digital intervention that uses a brief form of ACT plus parent education will reduce the stress of primary caregivers with preterm babies in the NICU more than a digital education-only intervention or standard care control group. METHODS: In a randomised controlled cluster trial design, participants will be randomly assigned to one of three groups: ACT plus education; education-only; or standard care control. The primary outcome will be parental/caregiver stress levels, measured on the Parental Stress Scale: Neonatal Intensive Care Unit. Secondary outcomes include overall stress, anxiety, and depression. Outcome measures will be evaluated at baseline, two weeks after enrolment, discharge to home, and 3-months post-discharge. CONCLUSION: This study will explore the efficacy of a digital ACT plus education intervention on parental stress levels. While position papers have advocated for the use of ACT with NICU parents, this study will be the first to test ACT as a stand-alone intervention with this population. TRIAL REGISTRATION: This trial was prospectively registered with the Australian New Zealand Clinical Trials Registry on 14 June 2023 (ACTRN12623000641695p).

Psychosocial Support Provided to Parents of Infants in Neonatal Intensive Care Units: An International Survey.

OBJECTIVE: To describe current psychosocial support practices and programs for parents with infants in level II nurseries and level III neonatal intensive care units (NICUs) across Australia and New Zealand. STUDY DESIGN: A staff member from each level II and level III hospital completed an online survey about the psychosocial support services available for parents in Australia and New Zealand. Mixed methods (descriptive and statistical analysis; descriptive content analysis) were used to describe current services and practices. RESULTS: Of 66 eligible units, 44 participated in the survey (67%). Hospital-based pediatricians (32%) and clinical directors (32%) were the most common respondents. Level III NICUs reported providing significantly more services for parents than level II nurseries (median [IQR]: level III, 7 [5.25-8.75]; level II, 4.5 [3.25-5]; P < .001), with variability in the type and number of services available (range, 4-13). Less than half of units (43%) reported using standardized screening tools to assess parents for mental health distress, and just 4 units (9%) provided staff-led parent mental health support programs. In qualitative feedback, respondents frequently reported a lack of resources (staffing, funding, and training) to support parents. CONCLUSIONS: Despite the well-documented distress that parents with infants in neonatal units experience and the evidence-based practices known to reduce this distress, this study identifies significant gaps in parent support services in level II and level III NICUs across Australia and New Zealand.

A new tool for annotating scientific animations and supporting scientific dialogue.

A new interactive annotation interface supports a detailed molecular animation of the SARS-CoV-2 life cycle. With this tool, users can interactively explore the data used to create the animation and engage in scientific discourse through comments and questions.

Insights From Experiments With Rigor in an EvoBio Design Study.

Design study is an established approach of conducting problem-driven visualization research. The academic visualization community has produced a large body of work for reporting on design studies, informed by a handful of theoretical frameworks, and applied to a broad range of application areas. The result is an abundance of reported insights into visualization design, with an emphasis on novel visualization techniques and systems as the primary contribution of these studies. In recent work we proposed a new, interpretivist perspective on design study and six companion criteria for rigor that highlight the opportunities for researchers to contribute knowledge that extends beyond visualization idioms and software. In this work we conducted a year-long collaboration with evolutionary biologists to develop an interactive tool for visual exploration of multivariate datasets and phylogenetic trees. During this design study we experimented with methods to support three of the rigor criteria: ABUNDANT, REFLEXIVE, and TRANSPARENT. As a result we contribute two novel visualization techniques for the analysis of multivariate phylogenetic datasets, three methodological recommendations for conducting design studies drawn from reflections over our process of experimentation, and two writing devices for reporting interpretivist design study. We offer this work as an example for implementing the rigor criteria to produce a diverse range of knowledge contributions.

Composer-Visual Cohort Analysis of Patient Outcomes.

OBJECTIVE: Visual cohort analysis utilizing electronic health record data has become an important tool in clinical assessment of patient outcomes. In this article, we introduce Composer, a visual analysis tool for orthopedic surgeons to compare changes in physical functions of a patient cohort following various spinal procedures. The goal of our project is to help researchers analyze outcomes of procedures and facilitate informed decision-making about treatment options between patient and clinician. METHODS: In collaboration with orthopedic surgeons and researchers, we defined domain-specific user requirements to inform the design. We developed the tool in an iterative process with our collaborators to develop and refine functionality. With Composer, analysts can dynamically define a patient cohort using demographic information, clinical parameters, and events in patient medical histories and then analyze patient-reported outcome scores for the cohort over time, as well as compare it to other cohorts. Using Composer's current iteration, we provide a usage scenario for use of the tool in a clinical setting. CONCLUSION: We have developed a prototype cohort analysis tool to help clinicians assess patient treatment options by analyzing prior cases with similar characteristics. Although Composer was designed using patient data specific to orthopedic research, we believe the tool is generalizable to other healthcare domains. A long-term goal for Composer is to develop the application into a shared decision-making tool that allows translation of comparison and analysis from a clinician-facing interface into visual representations to communicate treatment options to patients.