Neurodevelopmental outcomes of extremely preterm infants: theoretical and epidemiological perspectives to guide shared-care decision-making

Although births below 28 completed weeks' of gestation contribute to less than 1% of all preterm births globally, the impact of extreme prematurity (EPT) on neurodevelopmental outcomes across the life-course is disproportionately large. Higher rates and increased severity of neurodevelopmental impairments (NDIs) are reported among extremely preterm infants (EPIs). Cognitive skills, motor skills (manifesting as cerebral palsy) and vision are most commonly affected, with effects pervasive throughout school, adolescence and early adulthood. In addition, poorer academic outcomes and higher rates of psychiatric morbidity are seen among EPTs. Consistent improvements in EPI survival in recent years has not been matched with improvements in neurodevelopmental outcomes, especially for those born at less than 25 gestational weeks. However, over the last 20 years, several national and cross-national cohort studies have helped advance our understanding of extreme prematurity's developmental and life-course consequences. Here we provide an overview of the key findings from 13 multi-centre cohorts measuring neurodevelopmental outcomes and discuss the theoretical and epidemiological perspectives of NDIs in the context of extreme prematurity to guide communication with families and shared care decision-making.     

Redefining shared decision-making in the digital era

Perioperative shared decision-making can be improved through the development of novel patient-centered outcome measures made possible by digital phenotyping—“the moment-by-moment quantification of individual-level human phenotype in situ using data from personal digital devices, in particular smartphones.” This Short Report presents data from a patient with breast cancer that illustrates the opportunities of digital phenotyping to better inform patient quality of life while also discussing the challenges to its adoption. With time, effort, and physician engagement, digital phenotyping can help surgeons better understand the patient experience in the postoperative period and in turn, help them provide care that maximizes patient quality of life.     

Writing your first paper: An informal guide for medical radiation sciences professionals*

Writing and submitting a paper can be a daunting prospect, especially the first time. One of the more challenging aspects is knowing how to begin. Countless projects in the workplace never make it past local dissemination or conference presentation. This informal guide will help you take that next step and begin the peer-reviewed publication journey.     

Temporal Expectation Hastens Decision Onset But Does Not Affect Evidence Quality

The ability to predict the timing of forthcoming events, known as temporal expectation, has a strong impact on human information processing. Although there is growing consensus that temporal expectations enhance the speed and accuracy of perceptual decisions, it remains unclear whether they affect the decision process itself, or non-decisional (sensory/motor) processes. Here, healthy human participants (N = 21; 18 female) used predictive auditory cues to anticipate the timing of low-contrast visual stimuli they were required to detect. Modeling of the behavioral data using a prominent sequential sampling model indicated that temporal expectations speeded up non-decisional processes but had no effect on decision formation. Electrophysiological recordings confirmed and extended this result: temporal expectations hastened the onset of a neural signature of decision formation but had no effect on its build-up rate. Anticipatory α band power was modulated by temporal expectation and co-varied with intrinsic trial-by-trial variability in behavioral and neural signatures of the onset latency of the decision process. These findings highlight how temporal predictions optimize our interaction with unfolding sensory events.SIGNIFICANCE STATEMENT Temporal expectation enhances performance, but the locus of this effect remains debated. Here, we contrasted the two dominant accounts: enhancement through (1) expedited decision onset, or (2) an increase in the quality of sensory evidence. We manipulated expectations about the onset of a dim visual target using a temporal cueing paradigm, and probed the locus of the expectation effect with two complementary approaches: drift diffusion modeling (DDM) of behavior, and estimation of the onset and progression of the decision process from a supramodal accumulation-to-bound signal in simultaneously measured EEG signals. Behavioral modeling and neural data provided strong, converging evidence for an account in which temporal expectations enhance perception by speeding up decision onset, without affecting evidence quality.     

Exploring the implementation of evidence-based optimisation strategies: A qualitative study of the experience of diagnostic radiographers

IntroductionRadiographers are responsible for ensuring safe and effective use of ionising radiation. Through evidence-based practice (EBP), valuable optimisation strategies can be implemented to fulfil these responsibilities. This study aimed to explore radiographers' attitudes, perceptions, and experience of using evidence-based optimisation strategies.MethodsA Grounded Theory approach using in-depth interviews. UK-based radiographers were recruited. Discussions focused on (1) the role of evidence-based optimisation strategies in daily practice, (2) assistance in implementing evidence-based optimisation strategies, and (3) the role of EBP and optimisation strategies in the future. Interviews were transcribed verbatim and analysed using open and axial coding.ResultsParticipants (n = 13) stated that EBP is not frequently used to implement optimisation strategies. Participants relied on the knowledge taught in education settings and their professional skills to optimise in daily practice, alongside departmental protocols. Barriers identified as affecting the implementation of optimisation strategies related to reluctance to change, a lack of support from superiors, and a lack of resources to engage with EBP. Some participants expected the use of optimisation strategies to become unnecessary due to technology advancements.ConclusionThe results indicate that effective operationalisation of EBP is not part of daily practice among radiographers to implement valuable optimisation strategies in daily practice.Implications for practiceThe potential barriers to implementing evidence-based optimisation strategies highlighted in this study suggest that improving access to resources and empowerment of individual radiographers is required to enable radiographers to implement optimisation strategies.