Determinants of research use in clinical decision making among physical therapists providing services post-stroke: a cross-sectional study

<p>Abstract</p> <p>Background</p> <p>Despite evidence of the benefits of research use in post-acute stroke rehabilitation where compliance with clinical practice guidelines has been associated with functional recovery and patient satisfaction, the rate of reliance on the research literature in clinical decision making among physical therapists is low. More research examining factors that motivate physical therapists to consider research findings in neurological practice is needed to inform efforts to intervene. The objective of this study was to identify practitioner, organizational, and research characteristics associated with research use among physical therapists providing services post-stroke.</p> <p>Methods</p> <p>A cross-sectional mail survey of physical therapists providing services to people with stroke in Ontario, Canada was conducted. The survey questionnaire contained items to evaluate practitioner and organizational characteristics and perceptions of research considered to influence evidence-based practice (EBP), as well as the frequency of using research evidence in clinical decision making in a typical month. Ordinal regression was used to identify factors associated with research use.</p> <p>Results</p> <p>The percentage of respondents reporting research use in clinical decision making 0 to 1, 2 to 5, or 6+ times in a typical month was 33.8%, 52.9%, and 13.3%, respectively (n = 263). Academic preparation in the principles of EBP, research participation, service as a clinical instructor, self-efficacy to implement EBP, a positive attitude towards research, perceived organizational support of research use, and Internet access to bibliographic databases at work were each associated with research use and placed in the final regression model. In the final model (n = 244), academic preparation in EBP, EBP self-efficacy, agreement that research findings are useful, and research participation each remained significantly associated with research use after adjusting for the effects of the other variables in the model.</p> <p>Conclusions</p> <p>A third of therapists rarely use research evidence in clinical decision making. Education in the principles of EBP, EBP self-efficacy, a positive attitude towards research, and involvement in research at work may promote research use in neurological physical therapy practice. Future research is needed to confirm these findings and to determine the type of research participation that may promote research use.</p

A dual weighted residual method applied to complex periodic gratings

An extension of the dual weighted residual (DWR) method to the analysis of electromagnetic waves in a periodic diffraction grating is presented. Using the α,0-quasi-periodic transformation, an upper bound for the a posteriori error estimate is derived. This is then used to solve adaptively the associated Helmholtz problem. The goal is to achieve an acceptable accuracy in the computed diffraction efficiency while keeping the computational mesh relatively coarse. Numerical results are presented to illustrate the advantage of using DWR over the global a posteriori error estimate approach. The application of the method in biomimetic, to address the complex diffraction geometry of the Morpho butterfly wing is also discussed

"I am in other people's hands as regards my health" A sociological critique of health care encounters of people with cirrhosis. A secondary analysis

OBJECTIVES: People with cirrhosis are encouraged to participate in shared decision-making with their doctors, but studies suggest that doctors limit the amount of information that is shared. In this study we explore the presence of medical power in clinical encounters in 2015 from a patient perspective and highlight its effects on healthcare interactions. METHODS: Qualitative semi-structured interviews were conducted with ten people with cirrhosis attending a tertiary liver transplant centre in southern England. We explored their understanding of their disease and prognosis, and their participation in decision-making. Using the lens of medical power as a framework, we analysed findings into thematic sentences to summarise key ideas whilst preserving the complexity of identified concepts. RESULTS: Three key concepts explained patient perspectives of their communication with doctors: (1) portraying a positive image to doctors, (2) avoiding confrontation with doctors, (3) feeling powerless in the face of doctors' medical knowledge. These concepts show deeper dynamic issues of power during healthcare encounters, illustrated by participants' reluctance to voice their concerns and express themselves, challenge decisions, or seek information. CONCLUSION: People with cirrhosis struggle to articulate their concerns or challenge decisions on their care and treatment and may worry about potential consequences. Our findings demonstrate the continuing persistence of issues of power at play in contemporary health care

A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US.

The Scenario Modeling Hub (SMH) initiative provides projections of potential epidemic scenarios in the United States (US) by using a multi-model approach. Our contribution to the SMH is generated by a multiscale model that combines the global epidemic metapopulation modeling approach (GLEAM) with a local epidemic and mobility model of the US (LEAM-US), first introduced here. The LEAM-US model consists of 3142 subpopulations each representing a single county across the 50 US states and the District of Columbia, enabling us to project state and national trajectories of COVID-19 cases, hospitalizations, and deaths under different epidemic scenarios. The model is age-structured, and multi-strain. It integrates data on vaccine administration, human mobility, and non-pharmaceutical interventions. The model contributed to all 17 rounds of the SMH, and allows for the mechanistic characterization of the spatio-temporal heterogeneities observed during the COVID-19 pandemic. Here we describe the mathematical and computational structure of our model, and present the results concerning the emergence of the SARS-CoV-2 Alpha variant (lineage designation B.1.1.7) as a case study. Our findings show considerable spatial and temporal heterogeneity in the introduction and diffusion of the Alpha variant, both at the level of individual states and combined statistical areas, as it competes against the ancestral lineage. We discuss the key factors driving the time required for the Alpha variant to rise to dominance within a population, and quantify the impact that the emergence of the Alpha variant had on the effective reproduction number at the state level. Overall, we show that our multiscale modeling approach is able to capture the complexity and heterogeneity of the COVID-19 pandemic response in the US

Anatomy of the first six months of COVID-19 vaccination campaign in Italy.

We analyze the effectiveness of the first six months of vaccination campaign against SARS-CoV-2 in Italy by using a computational epidemic model which takes into account demographic, mobility, vaccines data, as well as estimates of the introduction and spreading of the more transmissible Alpha variant. We consider six sub-national regions and study the effect of vaccines in terms of number of averted deaths, infections, and reduction in the Infection Fatality Rate (IFR) with respect to counterfactual scenarios with the actual non-pharmaceuticals interventions but no vaccine administration. Furthermore, we compare the effectiveness in counterfactual scenarios with different vaccines allocation strategies and vaccination rates. Our results show that, as of 2021/07/05, vaccines averted 29, 350 (IQR: [16, 454-42, 826]) deaths and 4, 256, 332 (IQR: [1, 675, 564-6, 980, 070]) infections and a new pandemic wave in the country. During the same period, they achieved a -22.2% (IQR: [-31.4%; -13.9%]) IFR reduction. We show that a campaign that would have strictly prioritized age groups at higher risk of dying from COVID-19, besides frontline workers and the fragile population, would have implied additional benefits both in terms of avoided fatalities and reduction in the IFR. Strategies targeting the most active age groups would have prevented a higher number of infections but would have been associated with more deaths. Finally, we study the effects of different vaccination intake scenarios by rescaling the number of available doses in the time period under study to those administered in other countries of reference. The modeling framework can be applied to other countries to provide a mechanistic characterization of vaccination campaigns worldwide

Functional outcome and complications following surgery for Dupuytren’s disease: a multi-centre cross-sectional study

Variables associated with recurrent Dupuytren’s disease, or a ‘diathesis’, have been investigated, but those associated with functional outcome and complications are less well studied. Outcomes 1 or 5 years after an aponeurotomy, fasciectomy or dermofasciectomy were assessed by patient interview and examination at five UK centres. A total of 432 procedures were studied. The reoperation rate did not differ at 1 year (p = 0.396, Chi-square test with Monte Carlo simulation), but was higher after aponeurotomy in the 5-year group (30%, versus 6% after fasciectomy and 0% after dermofasciectomy, p = 0.003, Chi square test with Monte Carlo simulation). Loss of function (DASH>15) did not differ between procedures at 5 years, even when reoperation and other variables were controlled. Diabetes, female gender and previous ipsilateral surgery were associated with poorer function in logistic regression analysis. The variables associated with poor function after treatments differ from diathesis variables. Aponeurotomy had lower complication rates than fasciectomy and dermofasciectomy. This may counterbalance the former’s higher recurrence rate and explain why aponeurotomy demonstrated similar long-term functional outcome compared with excisional surgery in this study

Perlite waste as a precursor for geopolymer formation.

Waste perlite can be reacted with alkaline solutions to form crystalline zeolite 4A and other minor crystalline phases. The fine majority fraction of the waste was fairly reactive and the coarse fraction largely acted as a filler. This geopolymer had poor compressive strength, but when perlite was used in conjunction with flyash, geopolymers of acceptable mechanical properties could be made. Perlite shows significant reaction with 10 Mol/L NaOH solution at ˜70°C, with hydroxysodalite appearing as a reaction product. © 2009, The Australian Ceramic Societ