ABSTRACT
Commentaries on the target article offer diverse perspectives on integrative experiment design. Our responses engage three themes: (1) Disputes of our characterization of the problem, (2) skepticism toward our proposed solution, and (3) endorsement of the solution, with accompanying discussions of its implementation in existing work and its potential for other domains. Collectively, the commentaries enhance our confidence in the promise and viability of integrative experiment design, while highlighting important considerations about how it is used.
Subject(s)
Dissent and DisputesABSTRACT
The notion of common sense is invoked so frequently in contexts as diverse as everyday conversation, political debates, and evaluations of artificial intelligence that its meaning might be surmised to be unproblematic. Surprisingly, however, neither the intrinsic properties of common sense knowledge (what makes a claim commonsensical) nor the degree to which it is shared by people (its "commonness") have been characterized empirically. In this paper, we introduce an analytical framework for quantifying both these elements of common sense. First, we define the commonsensicality of individual claims and people in terms of the latter's propensity to agree on the former and their awareness of one another's agreement. Second, we formalize the commonness of common sense as a clique detection problem on a bipartite belief graph of people and claims, defining [Formula: see text] common sense as the fraction [Formula: see text] of claims shared by a fraction [Formula: see text] of people. Evaluating our framework on a dataset of [Formula: see text] raters evaluating [Formula: see text] diverse claims, we find that commonsensicality aligns most closely with plainly worded, fact-like statements about everyday physical reality. Psychometric attributes such as social perceptiveness influence individual common sense, but surprisingly demographic factors such as age or gender do not. Finally, we find that collective common sense is rare: At most, a small fraction [Formula: see text] of people agree on more than a small fraction [Formula: see text] of claims. Together, these results undercut universalistic beliefs about common sense and raise questions about its variability that are relevant both to human and artificial intelligence.
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Artificial Intelligence , Knowledge , Humans , PsychometricsABSTRACT
BACKGROUND: There is limited qualitative research focussed specifically on what it is like for children and young people with intellectual disabilities coming into hospital, with much of the evidence-base being about those with Autism Spectrum Condition or adults with intellectual disabilities. AIM: To share rich detail of the emotional and physical impact on children and young people with intellectual disabilities of attending hospital, from their own and their parent's perspective. METHODS: Talking Mats interviews, sticker survey and photography with children and young people with intellectual disabilities, and in-depth interviews, hospital diaries and photography with their parents. RESULTS AND CONCLUSIONS: The multiple and compounding layers of complexity surrounding hospital care of children and young people with intellectual disabilities resulted in challenges associated with loss of familiarity and routine, undergoing procedures, managing sensory overload, managing pain and having a lack of safety awareness. An individualised approach to their care is needed.
Subject(s)
Autism Spectrum Disorder , Intellectual Disability , Adult , Child , Humans , Adolescent , Intellectual Disability/psychology , Parents/psychology , Autism Spectrum Disorder/therapy , Emotions , Qualitative ResearchABSTRACT
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic resulted in significant changes to education delivery. For many university programmes this has included a move from face-to-face to virtual and online learning and teaching. AIM: To gain insight into the experiences of students undertaking the community children's nursing specialist practitioner programme during the academic year 2020-21, when most learning and teaching was delivered using virtual and online methods as a consequence of the COVID-19 pandemic. METHOD: A survey questionnaire containing qualitative and quantitative questions was distributed to 28 students by programme leaders at three universities in England. Seven questionnaires were returned, yielding a 25% response rate. FINDINGS: Respondents' experience of online and virtual learning was generally positive, with benefits for work-life balance and the opportunity to revisit recorded lectures being particularly well regarded. Loss of opportunity for face-to-face engagement with fellow students and the teaching team were identified as disadvantages. CONCLUSION: There was strong student support for the provision of more flexible approaches to learning and teaching. Universities should recognise that failure to offer such flexibility could potentially affect recruitment and the viability of courses in the future.
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COVID-19 , Education, Distance , Students, Nursing , Humans , Child , COVID-19/epidemiology , Pandemics , LearningABSTRACT
Understanding the scope, prevalence, and impact of the COVID-19 pandemic response will be a rich ground for research for many years. Key to the response to COVID-19 was the non-pharmaceutical intervention (NPI) measures, such as mask mandates or stay-in-place orders. For future pandemic preparedness, it is critical to understand the impact and scope of these interventions. Given the ongoing nature of the pandemic, existing NPI studies covering only the initial portion provide only a narrow view of the impact of NPI measures. This paper describes a dataset of NPI measures taken by counties in the U.S. state of Virginia that include measures taken over the first two years of the pandemic beginning in March 2020. This data enables analyses of NPI measures over a long time period that can produce impact analyses on both the individual NPI effectiveness in slowing the pandemic spread, and the impact of various NPI measures on the behavior and conditions of the different counties and state.
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COVID-19 , Humans , COVID-19/epidemiology , COVID-19/therapy , Data Curation , Pandemics , Policy , VirginiaABSTRACT
The dominant paradigm of experiments in the social and behavioral sciences views an experiment as a test of a theory, where the theory is assumed to generalize beyond the experiment's specific conditions. According to this view, which Alan Newell once characterized as "playing twenty questions with nature," theory is advanced one experiment at a time, and the integration of disparate findings is assumed to happen via the scientific publishing process. In this article, we argue that the process of integration is at best inefficient, and at worst it does not, in fact, occur. We further show that the challenge of integration cannot be adequately addressed by recently proposed reforms that focus on the reliability and replicability of individual findings, nor simply by conducting more or larger experiments. Rather, the problem arises from the imprecise nature of social and behavioral theories and, consequently, a lack of commensurability across experiments conducted under different conditions. Therefore, researchers must fundamentally rethink how they design experiments and how the experiments relate to theory. We specifically describe an alternative framework, integrative experiment design, which intrinsically promotes commensurability and continuous integration of knowledge. In this paradigm, researchers explicitly map the design space of possible experiments associated with a given research question, embracing many potentially relevant theories rather than focusing on just one. The researchers then iteratively generate theories and test them with experiments explicitly sampled from the design space, allowing results to be integrated across experiments. Given recent methodological and technological developments, we conclude that this approach is feasible and would generate more-reliable, more-cumulative empirical and theoretical knowledge than the current paradigm-and with far greater efficiency.
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As machine learning is used to make strides in medical diagnostics, few methods provide heuristics from which human doctors can learn directly. This work introduces a method for leveraging human observable structures, such as macroscale vascular formations, for producing assessments of medical conditions with relatively few training cases, and uncovering patterns that are potential diagnostic aids. The approach draws on shape grammars, a rule-based technique, pioneered in design and architecture, and accelerated through a recursive subgraph mining algorithm. The distribution of rule instances in the data from which they are induced is then used as an intermediary representation enabling common classification and anomaly detection approaches to identify indicative rules with relatively small data sets. The method is applied to seven-tesla time-of-flight angiography MRI (n = 54) of human brain vasculature. The data were segmented and induced to generate representative grammar rules. Ensembles of rules were isolated to implicate vascular conditions reliably. This application demonstrates the power of automated structured intermediary representations for assessing nuanced biological form relationships, and the strength of shape grammars, in particular for identifying indicative patterns in complex vascular networks.
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The plasma-facing components of future fusion reactors, where the Eurofer97 is the primary structural material, will be assembled by laser-welding techniques. The heterogeneous residual stress induced by welding can interact with the microstructure, resulting in a degradation of mechanical properties and a reduction in joint lifetime. Here, a Xe+ plasma focused ion beam with digital image correlation (PFIB-DIC) and nanoindentation is used to reveal the mechanistic connection between residual stress, microstructure, and microhardness. This study is the first to use the PFIB-DIC to evaluate the time-resolved multiscale residual stress at a length scale of tens of micrometers for laser-welded Eurofer97. A nonequilibrium microscale residual stress is observed, which contributes to the macroscale residual stress. The microhardness is similar for the fusion zone and heat-affected zone (HAZ), although the HAZ exhibits around ~30% tensile residual stress softening. The results provide insight into maintaining structural integrity for this critical engineering challenge.
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STUDY DESIGN: This was a survey of the surgeon members of the Lumbar Spine Research Society (LSRS). OBJECTIVE: The purpose of this study was to assess trends in surgical practice and patient management involving elective and emergency surgery in the early months of the coronavirus pandemic. SUMMARY OF BACKGROUND DATA: The novel coronavirus has radically disrupted medical care in the first half of 2020. Little data exists regarding the exact nature of its effect on spine care. METHODS: A 53-question survey was sent to the surgeon members of the LSRS. Respondents were contacted via email 3 times over a 2-week period in late April. Questions concentrated on surgical and clinical practice patterns before and after the pandemic. Other data included elective surgical schedules and volumes, as well as which emergency cases were being performed. Surgeons were asked about the status of coronavirus disease 2019 (COVID-19) virus testing. Circumstances for performing surgical intervention on patients with and without testing as well as patients testing positive were explored. RESULTS: A total of 43 completed surveys were returned of 174 sent to active surgeons in the LSRS (25%). Elective lumbar spine procedures decreased by 90% in the first 2 months of the pandemic, but emergency procedures did not change. Patients with "stable" lumbar disease had surgeries deferred indefinitely, even beyond 8 weeks if necessary. In-person outpatient visits became increasingly rare events, as telemedicine consultations accounted for 67% of all outpatient spine appointments. In total, 91% surgeons were under some type of confinement. Only 11% of surgeons tested for the coronavirus on all surgical patients. CONCLUSIONS: Elective lumbar surgery was significantly decreased in the first few months of the coronavirus pandemic, and much of outpatient spine surgery was practiced via telemedicine. Despite these constraints, spine surgeons performed emergency surgery when indicated, even when the COVID-19 status of patients was unknown. LEVEL OF EVIDENCE: Level IV.
Subject(s)
COVID-19 , Pandemics , Humans , Lumbar Vertebrae , SARS-CoV-2 , Surveys and QuestionnairesABSTRACT
Magnetic resonance imaging (MRI) is used rarely in the acute evaluation of traumatic brain injury (TBI) but may identify findings of clinical importance not detected by computed tomography (CT). We aimed to characterize the association of cytotoxic edema and hemorrhage, including traumatic microbleeds, on MRI obtained within hours of acute head trauma and investigated the relationship to clinical outcomes. Patients prospectively enrolled in the Traumatic Head Injury Neuroimaging Classification study (NCT01132937) with evidence of diffusion-related findings or hemorrhage on neuroimaging were included. Blinded interpretation of MRI for diffusion-weighted lesions and hemorrhage was conducted, with subsequent quantification of apparent diffusion coefficient (ADC) values. Of 161 who met criteria, 82 patients had conspicuous hyperintense lesions on diffusion-weighted imaging (DWI) with corresponding regions of hypointense ADC in proximity to hemorrhage. Median time from injury to MRI was 21 (10-30) h. Median ADC values per patient grouped by time from injury to MRI were lowest within 24 h after injury. The ADC values associated with hemorrhagic lesions are lowest early after injury, with an increase in diffusion during the subacute period, suggesting transformation from cytotoxic to vasogenic edema during the subacute post-injury period. Of 118 patients with outcome data, 60 had Glasgow Outcome Scale Extended scores ≤6 at 30/90 days post-injury. Cytotoxic edema on MRI (odds ratio [OR] 2.91 [1.32-6.37], p = 0.008) and TBI severity (OR 2.51 [1.32-4.74], p = 0.005) were independent predictors of outcome. These findings suggest that in patients with TBI who had findings of hemorrhage on CT, patients with DWI/ADC lesions on MRI are more likely to do worse.
Subject(s)
Brain Edema/etiology , Brain Hemorrhage, Traumatic/complications , Brain Injuries, Traumatic/complications , Adolescent , Adult , Aged , Brain Edema/diagnostic imaging , Brain Hemorrhage, Traumatic/diagnostic imaging , Brain Injuries, Traumatic/diagnostic imaging , Diffusion Magnetic Resonance Imaging , Female , Humans , Male , Middle Aged , Odds Ratio , Outcome Assessment, Health Care , Predictive Value of Tests , Prospective Studies , Risk Factors , Time Factors , Young AdultABSTRACT
Virtual labs allow researchers to design high-throughput and macro-level experiments that are not feasible in traditional in-person physical lab settings. Despite the increasing popularity of online research, researchers still face many technical and logistical barriers when designing and deploying virtual lab experiments. While several platforms exist to facilitate the development of virtual lab experiments, they typically present researchers with a stark trade-off between usability and functionality. We introduce Empirica: a modular virtual lab that offers a solution to the usability-functionality trade-off by employing a "flexible defaults" design strategy. This strategy enables us to maintain complete "build anything" flexibility while offering a development platform that is accessible to novice programmers. Empirica's architecture is designed to allow for parameterizable experimental designs, reusable protocols, and rapid development. These features will increase the accessibility of virtual lab experiments, remove barriers to innovation in experiment design, and enable rapid progress in the understanding of human behavior.
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Research Design , Research Personnel , HumansABSTRACT
BACKGROUND: An 8-month rotation programme was implemented for five nurses employed in two kinds of children's palliative care environments: hospital wards and hospices. This study reports the views of the nurses completing the rotation. The research drew on appreciative inquiry and involved a pre- and post-rotation interview and questionnaire. Thematic analysis of the interviews revealed seven themes: adjusting to the rotation programme; support mechanisms; being safe; new knowledge and skills; knowledge exchange; misconceptions; future plans. These were supported by the questionnaire findings. Although the nurses identified some frustration at having to undertake competency assessments relating to previously acquired skills, as well as being out of their 'comfort zone', all the participants highly recommended the programme. They commented very positively on the support they received and the overall learning experience as well as the new insight into different aspects of care. In addition, they were able to share their newfound knowledge and expertise with others.
Subject(s)
Attitude of Health Personnel , Hospice and Palliative Care Nursing/education , Nursing Staff/education , Pediatric Nursing/education , Clinical Competence , Humans , Job Satisfaction , London , Program EvaluationABSTRACT
Retention of staff presents major challenges within children's palliative care; this has substantial implications for children, families and the nursing workforce. To address this, a programme was undertaken that provided pathways of professional development for senior nurses working in this field. This study reports the views of nurses completing this programme, the overall project manager (PM) and the day-to-day programme lead (PL) as well as factors that influence nurse retention within children's palliative care nursing. The study drew on an Appreciative Inquiry approach that comprised of interviews with the PM and PL as well as focus groups and questionnaires with senior nurses from the children's palliative care sector, who participated in the training programme. Thematic analysis of data from interviews and focus groups revealed factors influencing nurse retention: speciality, positivity and making a difference, support, provision of adequate resources, tailored education/professional development and resilience. These themes were supported by the questionnaire findings. The programme was perceived as having a positive influence on nurse retention within the children's palliative care workforce. In addition, it was felt to be very beneficial in terms of shared learning and development. Participants highlighted the need for similar opportunities in the future.
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Hospice and Palliative Care Nursing , Child , Focus Groups , Humans , Palliative CareABSTRACT
Severe traumatic brain injury (TBI) is a leading cause of death and disability worldwide, especially in low- and middle-income countries, and in austere, rural, and remote settings. The purpose of this Perspective is to challenge the notion that accurate and actionable diagnosis of the most severe brain injuries should be limited to physicians and other highly-trained specialists located at hospitals. Further, we aim to demonstrate that the great opportunity to improve severe TBI care is in the prehospital setting. Here, we discuss potential applications of prehospital diagnostics, including ultrasound and near-infrared spectroscopy (NIRS) for detection of life-threatening subdural and epidural hemorrhage, as well as monitoring of cerebral hemodynamics following severe TBI. Ultrasound-based methods for assessment of cerebrovascular hemodynamics, vasospasm, and intracranial pressure have substantial promise, but have been mainly used in hospital settings; substantial development will be required for prehospital optimization. Compared to ultrasound, NIRS is better suited to assess certain aspects of intracranial pathology and has a smaller form factor. Thus, NIRS is potentially closer to becoming a reliable method for non-invasive intracranial assessment and cerebral monitoring in the prehospital setting. While one current continuous wave NIRS-based device has been FDA-approved for detection of subdural and epidural hemorrhage, NIRS methods using frequency domain technology have greater potential to improve diagnosis and monitoring in the prehospital setting. In addition to better technology, advances in large animal models, provider training, and implementation science represent opportunities to accelerate progress in prehospital care for severe TBI in austere, rural, and remote areas.
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OBJECTIVE: The primary objective of this study was to track the incidence and progression of traumatic microbleeds (TMBs) for up to five years following traumatic brain injury (TBI). METHODS: Thirty patients with mild, moderate, or severe TBI received initial MRI within 48 h of injury and continued in a longitudinal study for up to five years. The incidence and progression of MRI findings was assessed across the five year period. In addition to TMBs, we noted the presence of other imaging findings including diffusion weighted imaging (DWI) lesions, extra-axial and intraventricular hemorrhage, hematoma, traumatic meningeal enhancement (TME), fluid-attenuated inversion recovery (FLAIR) hyperintensities, and encephalomalacia. RESULTS: TMBs were observed in 60% of patients at initial presentation. At one-year follow-up, TMBs were more persistent than other neuroimaging findings, with 83% remaining visible on MRI. In patients receiving serial MRI 2-5 years post-injury, acute TMBs were visible on all follow-up scans. In contrast, most other imaging markers of TBI had either resolved or evolved into ambiguous abnormalities on imaging by one year post-injury. CONCLUSIONS: These findings suggest that TMBs may serve as a uniquely persistent indicator of TBI and reinforce the importance of acute post-injury imaging for accurate characterization of persistent imaging findings.
Subject(s)
Brain Injuries, Traumatic , Magnetic Resonance Imaging , Brain Injuries, Traumatic/complications , Brain Injuries, Traumatic/diagnostic imaging , Cerebral Hemorrhage/diagnostic imaging , Humans , Longitudinal Studies , NeuroimagingABSTRACT
Changes in 18F-fluorodeoxyglucose ([18F]FDG) measured by positron emission tomography (PET) can be used for the noninvasive detection of metabolic dysfunction following mild traumatic brain injury (mTBI). This study examined the time course of metabolic changes induced by primary blast injury by measuring regional [18F]FDG uptake. Adult, male rats were exposed to blast overpressure (15 psi) or sham injury, and [18F]FDG uptake was measured before injury and again at 1-3â¯h and 7â¯days post-injury, using both volume-of-interest (VOI) and voxel-based analysis. VOI analysis revealed significantly increased [18F]FDG uptake in corpus callosum and amygdala at both 1-3â¯h and 7â¯days following blast, while a transient decrease in uptake was observed in the midbrain at 1-3â¯h only. Voxel-based analysis revealed similar significant differences in uptake between sham and blast-injured rats at both time points. At 1-3â¯h post-injury, clusters of increased uptake were found in the amygdala, somatosensory cortex, and corpus callosum, while regions of decreased uptake were observed in midbrain structures (inferior colliculus, ventrolateral tegmental area) and dorsal auditory cortex. At day 7, a region of increased uptake in blast-injured rats was found in a cluster centered on the cortex-amygdala transition zone, while no regions of decreased uptake were observed. These results suggest that a relatively mild primary blast injury results in altered brain metabolism in multiple brain regions and that post-injury time of assessment is an important factor in observing regional changes in [18F]FDG uptake.
Subject(s)
Brain Concussion/diagnostic imaging , Brain Concussion/physiopathology , Fluorodeoxyglucose F18/metabolism , Amygdala/metabolism , Animals , Blast Injuries/physiopathology , Brain/metabolism , Brain Injuries/metabolism , Corpus Callosum/metabolism , Male , Positron-Emission Tomography/methods , Radiopharmaceuticals , Rats , Rats, Sprague-DawleyABSTRACT
BACKGROUND: In response to multiple United Kingdom investigations and inquiries into the care of adults with learning disabilities, Mencap produced the Getting it Right Charter which campaigned for the appointment of a Learning Disability Liaison Nurse in every hospital. More recent best practice guidelines from the Care Quality Commission included the need for all children's units to have access to a senior learning disability nurse who can support staff and help them manage difficult situations. However, little evidence exists of the extent of learning disability nurse provision in children's hospitals or the nature and impact of this role. Here we report selected findings from a national mixed methods study of hospital care for children and young people with and without learning disabilities in England. The extent of learning disability nurse provision in children's hospitals is described and perceptions of staff working in hospitals with and without such provision is compared. METHODS: Semi-structured interviews were conducted with senior staff across 15 children's hospitals and an anonymous survey was sent to clinical and non-clinical staff with patient (children and young people) contact within these hospitals. The survey focused on six different elements of care for those with and without learning disability, with additional questions concerning identifying and tracking those with learning disabilities and two open-ended questions. RESULTS: Forty-eight senior staff took part in interviews, which included a subset of nine nurses and one allied health professional employed in a dedicted learning disability nurse role, or similar. Surveys were completed by 1681, of whom 752 worked in a hospital with dedicated learning disability nurse provision. We found evidence of limited and varied learning disability nurse provision which was valued by hospital staff and shown to positively impact their perceptions of being capable to care for children and young people with learning disabilities, but not shown to increase staff perceptions of capacity or confidence, or how children and young people are valued within the hospital, their safety or access to appointments. CONCLUSION: Further consideration must be given to how learning disability nurse roles within children's hospitals are best operationalised in practice to have the greatest impact on staff and families, as well as how we monitor and evaluate them to ensure they are being utilised effectively and efficiently. TRIAL REGISTRATION: The study has been registered on the NIHR CRN portfolio 20,461 (Phase 1), 31,336 (Phases 2-4).
Subject(s)
Attitude of Health Personnel , Hospitals, Pediatric , Learning Disabilities/nursing , Nurse's Role , Adolescent , Child , Data Analysis , England , Humans , Interviews as Topic , Personnel Staffing and Scheduling , Qualitative Research , Social Determinants of Health , Young AdultABSTRACT
There is a growing population of children with complex health needs and disabilities who are being cared for at home by their parents 24 hours per day, 7 days per week. Community Children's Nursing Teams are a major source of support to these children. In 2006, the charity WellChild introduced the first WellChild Nurse (WCN) post specifically focused upon this group of children. In order to gain insight into how the WCN model was supporting this group of children throughout the 24-hour day, semi-structured interviews were undertaken with 12 WCNs and 10 parents of children with a range of long-term clinical care needs. Analysis of the interviews from both groups of study participants revealed complex patterns of decision-making by parents when seeking support and advice particularly 'out of hours'. This related to four key questions: 'Why call?', 'When to call?', 'Who to call?' and 'How to call?'. Parents identified how, as a result of the support provided by the WCNs, they are able to draw upon a range of decision-making skills and algorithms that enhance their ability to troubleshoot both clinical and non-clinical problems throughout the 24-hour day.