Coping Strategies and Health-Related Quality of Life in Pregnant Women with SARS-CoV-2 Infection

Background and Objectives: As maternal deaths associated with the SARS-CoV-2 infection remain at several times greater than the general population, significant factors that might contribute to the higher mortality and morbidity rate are the psychological impact of the disease and pregnancy itself. Therefore, the current study's main objective was to assess how pregnant women react and cope with the stress of COVID-19 disease and how it influences their overall health and quality of life in healthcare facilities. Materials and Methods: In this cross-sectional study, we included 304 pregnant women who successfully completed standardized forms to assess our topics of interest, comprising of the Hospital Anxiety and Depression Scale, the Short Form Health Survey-12, the Coping Orientation to Problems Experienced Inventory scale, the CORE-Outcome Measure Questionnaire, and the Quality from the Patient's Perspective questionnaire. Results: Unemployed, pregnant women living in poverty in the rural areas had higher SARS-CoV-2 infection rates during pregnancy. They faced higher anxiety levels and depression rates, with associated increased physical burden and exhaustion. However, these findings are not influenced by hospital care since it remained unchanged among COVID-19 and non-COVID-19 maternity units, excepting significantly lower technical competence scores of COVID-19 facilities. Conclusions: As the pandemic's consequences emerge and additional outbreaks occur, care must prioritize the additional physical burden experienced by pregnant women who have contracted COVID-19, as well as psychological, emotional, and mental health support.

The Quality Measure Crunch: How CMS Topped Out Scoring and Removal Policies Disproportionately Disadvantage Radiologists

PURPOSE

CMS implemented Merit-Based Incentive Payment System (MIPS) policies to cap points and remove "topped out" quality measures having extremely high national performance. We assess such policies' impact on quality measure reporting, focusing on diagnostic radiology.

METHODS

Data regarding MIPS 2019 quality measures were extracted from the CMS Quality Benchmarks File and the Quality Payment Program Explore Measures search tool and summarized by collection type and specialty.

RESULTS

Among 348 MIPS measure-and-collection-type combinations, 40.5% were topped out (56.6% of those with a benchmark) and 23.3% were capped. Among measures with a benchmark, the percent topped out varied (P < .001) by collection type: claims 82.7%, qualified registry 60.4%, electronic health record 11.6%. The percent capped was also greatest for claims measures (52.3%). Among 699 Qualified Clinical Data Registry (QCDR) measures, 63 had a benchmark, of which 44.4% were topped out. The percent of measures topped out also varied significantly (P < .001) by specialty, ranging from 0.0% (electrophysiology) to 95.0% (diagnostic radiology). Among 20 unique measure-and-collection-type combinations for diagnostic radiology, only one was not topped out, and 30.0% were capped. Among 20 radiology QCDR measures, 5 had a benchmark, of which 3 were topped out.

CONCLUSION

CMS topped out measure scoring and removal policies disproportionately impact radiology, which has the highest topped out percentage among all specialties and only a single non-topped out measure. This asymmetry disproportionately impairs radiologists' MIPS flexibility and is anticipated to progress in ensuing years. Current CMS policies create a looming crisis for radiologists in MIPS. The high risk of an insufficient number of available quality measures creates an urgent need for new radiology measure development.

Residents' and family members' perceptions of care quality and self-determination in palliative phase in residential care

OBJECTIVE

Dependency on others can compromise self-determination for older persons in the palliative phase in residential care. Family members can support the residents' self-determination but may also jeopardize it. Quality of care (QoC) is linked to respecting the autonomy of the residents and providing opportunities to participate in decision-making. The aim of the study was to provide knowledge about residents' and family members' perceptions of QoC and self-determination and to detect possible differences between their experiences.

METHOD

This cross-sectional study used an abbreviated version of the questionnaire, Quality from the Patients' Perspective, with additional items about decision-making. Wilcoxon's signed rank test was used to analyze the perception of QoC and to detect differences between residents' and family members' perceptions.

RESULT

QoC was perceived as lower than preferred in the majority of items and there was a high level of agreement between residents and family members. Lowest mean values in QoC were found in: support when feeling lonely; support when feeling worry, anxiety or fear; and staff's time to talk to the residents. Decision-making in everyday life and in life-changing situations showed that neither residents nor family members trusted staff to know about the residents' preferences.

SIGNIFICANCE OF RESULTS

Broad improvements are needed, especially in psychosocial care. Several of the negative outcomes on QoC and self-determination seem to derive from a focus on practical tasks and the lack of trustful relationships between residents and staff. An early implementation of palliative care, with a focus on what brings quality to each resident's life, could facilitate QoC and self-determination, in both everyday life and at the end of life.

Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics

Spontaneous brain activity as assessed with resting-state fMRI exhibits rich spatiotemporal structure. However, the principles by which brain-wide patterns of spontaneous fMRI activity reconfigure and interact with each other remain unclear. We used a framewise clustering approach to map spatiotemporal dynamics of spontaneous fMRI activity with voxel resolution in the resting mouse brain. We show that brain-wide patterns of fMRI co-activation can be reliably mapped at the group and subject level, defining a restricted set of recurring brain states characterized by rich network structure. Importantly, we document that the identified fMRI states exhibit contrasting patterns of functional activity and coupled infraslow network dynamics, with each network state occurring at specific phases of global fMRI signal fluctuations. Finally, we show that autism-associated genetic alterations entail the engagement of atypical functional states and altered infraslow network dynamics. Our results reveal a novel set of fundamental principles guiding the spatiotemporal organization of resting-state fMRI activity and its disruption in brain disorders.

Understanding the impact of 'cost' under MACRA: a neurointerventional imperative!

The cost of providing healthcare in the United States continues to rise. The Affordable Care Act created systems to test value-based alternative payments models. Traditionally, procedure-based specialists such as neurointerventionalists have largely functioned in, and are thus familiar with, the traditional Fee for Service system. Administrative charge data would suggest that neurointerventional surgery is an expensive specialty. The Medicare Access and CHIP Reauthorization Act consolidated pre-existing federal performance programs in the Merit-based Incentive Payments System (MIPS), including a performance category called 'cost'. Understanding cost as a dimension that contributes to the value of care delivered is critical for succeeding in MIPS and offers a meaningful route for favorably bending the cost curve.

Quasi-periodic patterns (QPP): large-scale dynamics in resting state fMRI that correlate with local infraslow electrical activity

Functional connectivity measurements from resting state blood-oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) are proving a powerful tool to probe both normal brain function and neuropsychiatric disorders. However, the neural mechanisms that coordinate these large networks are poorly understood, particularly in the context of the growing interest in network dynamics. Recent work in anesthetized rats has shown that the spontaneous BOLD fluctuations are tightly linked to infraslow local field potentials (LFPs) that are seldom recorded but comparable in frequency to the slow BOLD fluctuations. These findings support the hypothesis that long-range coordination involves low frequency neural oscillations and establishes infraslow LFPs as an excellent candidate for probing the neural underpinnings of the BOLD spatiotemporal patterns observed in both rats and humans. To further examine the link between large-scale network dynamics and infraslow LFPs, simultaneous fMRI and microelectrode recording were performed in anesthetized rats. Using an optimized filter to isolate shared components of the signals, we found that time-lagged correlation between infraslow LFPs and BOLD is comparable in spatial extent and timing to a quasi-periodic pattern (QPP) found from BOLD alone, suggesting that fMRI-measured QPPs and the infraslow LFPs share a common mechanism. As fMRI allows spatial resolution and whole brain coverage not available with electroencephalography, QPPs can be used to better understand the role of infraslow oscillations in normal brain function and neurological or psychiatric disorders.