bluuebunny/crossref_metadata_2025_split huggingface dataset:
Shared and Supported Decision Making in Medication in a Mental Health Setting: How Far Have We Come?
Authors: Pappa Sofia , Barnett Joshua , Gomme Sally , Iliopoulou Anthi , Moore Ivan , Whitaker Michael , McGrath Jane , Sie Michele 
Published: February 2021

AbstractPersonalised care involves shared decision making (SDM) across all levels including choice in medication. However, there are a number of barriers which prevent its effective implementation in routine mental health settings. Therefore, we undertook a study to benchmark current practice across clinical services of a large urban mental health provider. The study formed part of the trust-wide ‘Supported Decision Making in Medication’ Co-Production Project and aims to inform future recommendations in delivering against contemporary best practice, guidance and policy. A survey exploring the views and experiences of service users and prescribers on shared and supported decision-making in medication was carried out in West London NHS Trust. Questionnaires were fully co-designed and co-delivered by a group of health professionals and individuals with lived experience. There were 100 responses from service users and 35 from prescribers. There was some good practice where both parties reported good quality conversations concerning dialogic styles, collaborative process, information provided and range of choice offered. However, prescriber’s perception of their practice was not always mirrored by service user feedback whose experiences often depended upon the prescriber, the time available or the part of the service. Generally, service user experience fell short of the good practice cited by clinicians though there was noticeable variability. Commitment from organizations and increasing understanding from practitioners are vital in transforming SDM from rhetoric into reality. From our findings a further challenge is to ensure that prescribers and service users have the time, information and tools to implement it consistently.
Source and antibiotic susceptibility of gram-negative bacteria causing superficial incisional surgical site infections
Authors: Ali Kameran M. , Al-Jaff Bahrouz M.A. 
Published: February 2021

ABSTRACT

Background:
Surgical site infections (SSIs) are a major public health problem worldwide and the second-most frequently reported type of nosocomial infection. The presence of Gram-negative bacteria (GNB) in the hospital environment is significantly associated with SSIs. As such, this study aimed to explore the rate, antibiotic profile and common sources of bacteria in SSI.

Methods:
A cross-sectional study was conducted between August 2018 and July 2019 in three surgical centers in Kalar city, Kurdistan region, Iraq. A total of 512 patients, who underwent surgery were followed up with for superficial incisional SSI. Pre-, intra- and postoperative swabs were collected from patients and the surrounding hospital environment and processed for isolation and identification of GNB by microbiological and molecular methods. The isolates were typed by sequencing and tested for antibiotic resistance using the disc-diffusion technique.

Results:
SSI developed in 113 (22.07%) of the patients studied. GNB were involved in 48 (9.38%) cases; among these, Klebsiella spp. were the predominant cause 21/48 (43.75%), followed by Escherichia coli 14/48 (29.17%), Pseudomonas aeruginosa 7/48 (14.58%), Enterobacter spp. 3/48 (6.25%) and A. baumannii 2/48 (4.17%). Citrobacter koseri showed the lowest rate of infection 1/48 (2.08%). Sequencing analysis and the antibacterial resistance profile revealed that 25 (74.28%) of the 48 SSI isolates were from the hospital environment, whereas the rest were exogenous, with an undetermined source. The involved GNB were highly resistant to most antibiotics tested.

Conclusion:
SSIs caused by GNB were mostly exogenous or from the hospital environment, not from endogenous sources. All of the bacterial isolates detected from SSI patients were multidrug resistant.

Highlights
Patient and public involvement in health technology assessment: update of a systematic review of international experiences
Authors: Gagnon Marie-Pierre , Tantchou Dipankui Mylène , Poder Thomas G. , Payne-Gagnon Julie , Mbemba Gisèle , Beretta Valentina 
Published: February 2021

Abstract

Objective
To summarize current evidence on patient and public involvement (PPI) in health technology assessment (HTA) in order to synthesize the barriers and facilitators, and to propose a framework to assess its impact.

Methods
We conducted an update of a systematic review published in 2011 considering the recent scientific literature (qualitative, quantitative, and mixed-methods studies). We searched papers published between March 2009 (end of the initial search) and December 2019 in five databases using specific search strategies. We identified other publications through citation tracking and contacting authors of previous related studies. Reviewers independently selected relevant studies based on prespecified inclusion and exclusion criteria. We extracted information using a pre-established grid.

Results
We identified a total of 7872 publications from the main search strategy. Ultimately, thirty-one distinct new studies met the inclusion criteria, whereas seventeen studies were included in the previous systematic review. PPI is realized through two main strategies: (i) patients and public members participate directly in decision-making processes (participation) and (ii) patients or public perspectives are solicited to inform decisions (consultation or indirect participation). This review synthesizes the barriers and facilitators to PPI in HTA, and a framework to assess its impact is proposed.

Conclusion
The number of studies on patients or public involvement in HTA has dramatically increased in recent years. Findings from this updated systematic review show that PPI is done mostly through consultation and that direct involvement is less frequent. Several barriers to PPI in HTA exist, notably the lack of information to patients and public about HTA and the lack of guidance and policies to support PPI in HTA.
Crystallographic Orientation Analysis of Nanocrystalline Tungsten Thin Film Using TEM Precession Electron Diffraction and SEM Transmission Kikuchi Diffraction
Authors: Jeong Jiwon , Jang Woo-Sung , Kim Kwang Hun , Kostka Aleksander , Gu Gilho , Kim Young-Min , Oh Sang Ho 
Published: February 2021

Abstract
Ethnicity and power in the mental health system: experiences of white British and black Caribbean people with psychosis
Authors: Lawrence V. , McCombie C. , Nikolakopoulos G. , Morgan C. 
Published: February 2021

Abstract

Aims
Persistent inequalities exist in how individuals from minority ethnic groups access mental health care. A failure to investigate how these inequalities are experienced and what they mean to people with psychosis has privileged professional narratives and hindered our understanding of how they are sustained and what could be done to reduce them. The aim of this study was to investigate the long-term experience of living with psychosis and navigating mental health services within different ethnic groups.

Method
Our approach was informed by work on narrative analysis and prioritised the meaning that mental health services held for participants. In-depth interviews with 17 black Caribbean, 15 white British and 3 non-British white people with psychosis as part of AESOP-10, a 10-year follow-up of an ethnically diverse cohort of individuals with first-episode psychosis in the UK. Thematic narrative analysis was used to examine experiences at the personal level within and then across the individual accounts.

Results
Service users shared many defining experiences and narratives frequently returned to individuals' first contact with mental health services, first hospital admission, the experience of impatient wards, and the meaning of medication and diagnosis in their lives. We found that experiences of powerlessness punctuated the journey through mental health services and this appeared to dominate the accounts of black Caribbean, and to a lesser extent, white British participants. The findings reveal how negative expectations and experiences of mental health services are compounded over time, creating a vicious cycle of disempowerment and mistrust that manifests for many in resistance to – or at the best passive acceptance of – intervention by mental health services. High levels of need, coupled with alienation from services, contributed to negative patterns of service use among black Caribbean participants. White participants recounted substantial, though fewer, experiences of disempowerment and more instances of shared decision making that for some helped protect positive aspects of their lives.

Conclusions
Against a background of entrenched social and economic disempowerment, services were experienced as disempowering by many black Caribbean people, compounding and perpetuating a sense of alienation. Concerted efforts by services to more systematically target social needs and to share power through partnership working may reduce the mistrust that many with psychosis feel when entering services and in turn reduce persistent inequalities across ethnic groups.
From Feedback Seeking to Psychological Attachment, the Mediating Role of Adaptive Performance in Perceived Obstruction Context
Authors: Déprez Guillaume R. M. , Bazine Nicolas , Fréour Léa , Peña-Jimenez Marco , Cangialosi Nicola , Battistelli Adalgisa 
Published: February 2021

AbstractBased on proactivity literature, feedback seeking behavior is generally used throughout an individual’s career to enable better adaptation to the work environment. However, it has recently been shown that declining levels of feedback seeking behavior may result in decreased psychological attachment over time. This study aims to explore whether individual adaptivity represents a mechanism through which feed-back seeking affects psychological attachment (i.e., well-being involvement and withdrawal). In addition, the interaction effect of organizational obstruction between individual adaptivity and psychological attachment was examined. Based on three-wave survey data obtained from 273 participants from French organizations, a moderated mediation model was tested using structural equation modeling. Results confirmed that adaptive performance mediated positively the relationship between feedback-seeking and well-being involvement and negatively with withdrawal. Moreover, perceived organizational obstruction moderated negatively the relationship between adaptive performance and withdrawal, and positively that with well-being. These results shed new light on the relationship between proactivity (i.e., feedback seeking behavior) and adaptive performance, but also on the positive short-term contribution of successful adaptation in a perceived obstructive organizational context. Theoretical contributions and practical implications for human resource management are discussed.
Can Modeling the Geologic Record Contribute to Constraining the Tectonic Source of the 1755 CE Great Lisbon Earthquake?
Authors: Dourado F. , Costa P. J. M. , La Selle S. , Andrade C. , Silva A. N. , Bosnic I. , Gelfenbaum G. 
Published: February 2021

AbstractThe precise location of the seismic source of 1755 CE Great Lisbon earthquake is still uncertain. The aim of this work is to use an onland sedimentary record in southern Portugal to test and validate seismic sources for the earthquake. To achieve this, tsunami deposit thicknesses from over 150 cores collected at Salgados in southern Portugal were compared to the results of a tsunami sediment transport model (Delft3D‐FLOW) that simulates tsunami propagation, inundation, erosion, and deposition. Five different hypothetical seismic sources were modeled with varying bed roughness coefficients to assess how well they reproduced observed patterns of tsunami deposit thicknesses and dune. Modeled and observed historical tsunami arrival times were also used to test different earthquake sources. Based on these comparisons, three modeled earthquake sources were able to reproduce the observed data, suggesting they should be regarded as somewhat more likely sources for the 1755 earthquake in contrast to four other modeled sources. The fault closest to shore (Marquês de Pombal) yielded the best correlations between model and observations.
An Adaptive Method for Nonlinear Sea Level Trend Estimation by Combining EMD and SSA
Authors: Jin Taoyong , Xiao Mingyu , Jiang Weiping , Shum C. K. , Ding Hao , Kuo Chung‐Yen , Wan Junkun 
Published: February 2021

AbstractAdaptive and accurate trend estimation of the sea level record is critically important for characterizing its nonlinear variations and its study as a consequence of anthropogenic climate change. Sea level change is a nonstationary or nonlinear process. The present modeling methods, such as least squares fitting, are unable to accommodate nonlinear changes, including the choice of a priori information to help constrain the modeling. All these problems affect the accuracy and adaptability of nonlinear trend estimation. Here, we propose a method called EMD‐SSA, that effectively combines adaptive empirical mode decomposition (EMD) and singular spectrum analysis (SSA). First, the sea level change time series is decomposed by EMD to estimate the intrinsic mode functions. Second, the periodic or quasiperiodic signals in the intrinsic mode functions can be determined using Lomb‐Scargle spectral analysis. Third, the numbers of the identified periodicities/quasiperiodicities are used as embedding dimensions of SSA to identify possible nonlinear trends. Then, the optimal nonlinear trend with the largest absolute Mann‐Kendall rank is selected as the final trend for the sea level change. Based on a comprehensive experiment using simulated sea level change time series, we concluded that the EMD‐SSA method can adaptively provide better estimate of the nonlinear trend in a realistic sea level change time series with consistency or high accuracy. We suggest that EMD‐SSA can be used not only to robustly extract nonlinear trends in sea level data, but also for trends in other geodetic or climatic records, including gravity, GNSS observed displacements, and altimetry observations.
Tropical Cyclone Characteristics in the MERRA‐2 Reanalysis and AMIP Simulations
Authors: Aarons Zoe S. , Camargo Suzana J. , Strong Jeffrey D. O. , Murakami Hiroyuki 
Published: February 2021

AbstractThis study evaluates the tropical cyclone (TC) activity in two high‐resolution data sets—MERRA‐2 Reanalysis (Modern‐Era Retrospective Analysis for Research and Applications, Version 2) and MERRA‐2 AMIP (Atmospheric Model Intercomparison Project). These data sets use the same atmospheric model, the Goddard Earth Observing System Model, Version 5 (GEOS‐5) during the same period. However, while MERRA‐2 AMIP is a free‐running atmospheric simulation forced only with sea surface temperature (SST), MERRA‐2 Reanalysis uses an advanced data assimilation system to include a large variety of data sets. Thus, we analyze (1) the sensitivity of TC activity to the model forcing, (2) how well the TCs in both data sets replicate observed TC characteristics, (3) the sensitivity of these results to tracking schemes and thresholds. Standard diagnostics such as the number of tropical cyclones and their intensity distribution are very similar in the AMIP model and the reanalysis. TCs in both data sets are weaker than observed, as is typical for the spatial resolution of these global models. Overall, the use of data assimilation in the MERRA‐2 Reanalysis does not lead to a significantly better TC climatology than in AMIP. Furthermore, comparison of the MERRA‐2 Reanalysis to two other reanalysis data sets shows that MERRA‐2 generates fewer, but more intense TCs, than those reanalysis products.
Assessment of ICESat‐2 Sea Ice Surface Classification with Sentinel‐2 Imagery: Implications for Freeboard and New Estimates of Lead and Floe Geometry
Authors: Petty A. A. , Bagnardi M. , Kurtz N. T. , Tilling R. , Fons S. , Armitage T. , Horvat C. , Kwok R. 
Published: February 2021

AbstractNASA's Ice, Cloud, and Land Elevation Satellite‐2 (ICESat‐2) mission launched in September 2018 and is now providing high‐resolution surface elevation profiling across the entire globe, including the sea ice cover of the Arctic and Southern Oceans. For sea ice applications, successfully discriminating returns between sea ice and open water is key for accurately determining freeboard (the extension of sea ice above local sea level) and new information regarding the geometry of sea ice floes and leads. We take advantage of near‐coincident optical imagery obtained from the European Space Agency (ESA) Sentinel‐2 (S‐2) satellite over the Western Weddell Sea of the Southern Ocean in March 2019 and the Lincoln Sea of the Arctic Ocean in May 2019 to evaluate the surface classification scheme in the ICESat‐2 ATL07 and ATL10 sea ice products. We find a high level of agreement between the ATL07 (specular) lead classification and visible leads in the S‐2 imagery in these two coincident images across all six ICESat‐2 beams, increasing our confidence in the freeboard products and deriving new estimates of the sea ice state. The S‐2 overlays provide additional, albeit limited, evidence of the misclassification of dark leads due to clouds. Dark leads are no longer used to derive sea surface and thus freeboard as of the third release (r003) of the ICESat‐2 sea ice products. We show estimates of lead fraction and more preliminary estimates of chord length (a proxy for floe size) using two metrics for classifying sea surface (lead) segments across both the Arctic and Southern Ocean for the first winter season of data collection.
Cascading Hazards in the Aftermath of Australia's 2019/2020 Black Summer Wildfires
Authors: Kemter M. , Fischer M. , Luna L. V. , Schönfeldt E. , Vogel J. , Banerjee A. , Korup O. , Thonicke K. 
Published: February 2021

AbstractFollowing an unprecedented drought, Australia's 2019/2020 “Black Summer” fire season caused severe damage, gravely impacting both humans and ecosystems, and increasing susceptibility to other hazards. Heavy precipitation in early 2020 led to flooding and runoff that entrained ash and soil in burned areas, increasing sediment concentration in rivers, and reducing water quality. We exemplify this hazard cascade in a catchment in New South Wales by mapping burn severity, flood, and rainfall recurrence; estimating changes in soil erosion; and comparing them with river turbidity data. We show that following the extreme drought and wildfires, even moderate rain and floods led to undue increases in soil erosion and reductions in water quality. While natural risk analysis and planning commonly focuses on a single hazard, we emphasize the need to consider the entire hazard cascade, and highlight the impacts of ongoing climate change beyond its direct effect on wildfires.
Impacts of Global Solid Biofuel Stove Emissions on Ambient Air Quality and Human Health
Authors: Huang Yaoxian , Partha Debatosh B. , Harper Kandice , Heyes Chris 
Published: February 2021

AbstractGlobal solid biofuel stove emissions strongly impact air quality, climate change, and human health. However, investigations of the impacts of global solid biofuel stove emissions on human health associated with PM2.5 (particulate matter with aerodynamic diameter ≤2.5 μm) and ozone (O3) are limited. Here, we quantify the impacts of global solid biofuel stove emissions on ambient PM2.5 and O3 air quality and the associated human health effects for the year 2010, using the Community Atmosphere Model coupled with Chemistry version 5.3. Annual mean surface PM2.5 concentrations from global solid biofuel stove emissions averaged over 2006–2010 are up to 23.1 μg m−3, with large impacts found over China, India, sub‐Saharan Africa, and eastern and central Europe. For surface O3 impacts, we find that global solid biofuel stove emissions lead to increases in surface O3 concentrations by up to 5.7 ppbv for China, India, and sub‐Saharan Africa, and negligible impacts or reductions of up to 0.5 ppbv for the US, Europe, and parts of South America. Global solid biofuel stove emissions for the year 2010 contribute to 382,000 [95% confidence interval (95CI): 349,000–409,000] annual premature deaths associated with PM2.5 and O3 exposure, with the corresponding years of life lost as 8.10 million years (95CI: 7.38–8.70 million years). Our study highlights air quality and human health benefits of mitigating emissions from the global solid biofuel stove sector, especially over populous regions of low‐income and middle‐income countries, through promoting clean household energy programs for the residential energy supply.
Importance of Uncertainties in the Spatial Distribution of Preindustrial Wildfires for Estimating Aerosol Radiative Forcing
Authors: Wan J. S. , Hamilton D. S. , Mahowald N. M. 
Published: February 2021

AbstractUncertainty in preindustrial aerosol emissions, including fires, is one of the largest sources of uncertainty in estimating anthropogenic radiative forcing. Here, we quantify the range in aerosol forcing associated with uncertainty in the location and magnitude of preindustrial fire emissions in a climate model based on four emission estimates. With varied emission location and magnitude among the fire estimates, we find the change in aerosol forcing from present‐day to preindustrial is between −0.4 and 0.3 W/m2 for direct radiative forcing and between −1.8 and 0.6 W/m2 for cloud albedo forcing. Altering only the spatial distribution of preindustrial fires for a fixed magnitude adds a previously unaccounted 25% uncertainty to the total aerosol radiative forcing range. Future studies must account for the uncertainty in the spatial distribution of fire and other aerosol emissions as regional differences contribute substantial additional uncertainty to anthropogenic radiative forcing estimates and the resultant climate sensitivity.
Modeling Plant Roots Spectral Induced Polarization Signature
Authors: Tsukanov Kuzma , Schwartz Nimrod 
Published: February 2021

AbstractMonitoring the growth, architecture, and function of plant roots is of great interest. One promising noninvasive geoelectrical monitoring approach is spectral induced polarization (SIP). However, the roots' SIP signature is underexplored, not well understood, and a mechanistic model has not been proposed. Here, we developed a mechanistic model for SIP's response of roots, which is based on the Poisson‐Nernst‐Planck equation. The modeling results suggest that the magnitude of root polarization is linearly related to the root's external surface area and that the polarization length scale is the root's diameter. We suggest that injecting a current to the plant's stem results in higher polarization associated with the root‐cells' total surface area. In this case, the polarization length scale is the cell diameter. Overall, we quantified the link between the root's dimensions and their electrical signature, which may inspire SIP application for root phenotyping.