Are physical measures good indicators of image quality at low dose levels? A pilot study

Purpose: To evaluate if physical measures of noise predict image quality at high and low noise levels. Method: Twenty-four images were acquired on a DR system using a Pehamed DIGRAD phantom at three kVp settings (60, 70 and 81) across a range of mAs values. The image acquisition setup consisted of 14 cm of PMMA slabs with the phantom placed in the middle at 120 cm SID. Signal-to-noise ratio (SNR) and Contrast-tonoise ratio (CNR) were calculated for each of the images using ImageJ software and 14 observers performed image scoring. Images were scored according to the observer`s evaluation of objects visualized within the phantom. Results: The R2 values of the non-linear relationship between objective visibility score and CNR (60kVp R2 = 0.902; 70Kvp R2 = 0.913; 80kVp R2 = 0.757) demonstrate a better fit for all 3 kVp settings than the linear R2 values. As CNR increases for all kVp settings the Object Visibility also increases. The largest increase for SNR at low exposure values (up to 2 mGy) is observed at 60kVp, when compared with 70 or 81kVp.CNR response to exposure is similar. Pearson r was calculated to assess the correlation between Score, OV, SNR and CNR. None of the correlations reached a level of statistical significance (p>0.01). Conclusion: For object visibility and SNR, tube potential variations may play a role in object visibility. Higher energy X-ray beam settings give lower SNR but higher object visibility. Object visibility and CNR at all three tube potentials are similar, resulting in a strong positive relationship between CNR and object visibility score. At low doses the impact of radiographic noise does not have a strong influence on object visibility scores because in noisy images objects could still be identified.

Dynamic Workload Parallelization and System Calibration on Single-Chip Cloud Computer

Many-core systems are emerging from the need of more computational power and power efficiency. However there are many issues which still revolve around the many-core systems. These systems need specialized software before they can be fully utilized and the hardware itself may differ from the conventional computational systems. To gain efficiency from many-core system, programs need to be parallelized. In many-core systems the cores are small and less powerful than cores used in traditional computing, so running a conventional program is not an efficient option. Also in Network-on-Chip based processors the network might get congested and the cores might work at different speeds. In this thesis is, a dynamic load balancing method is proposed and tested on Intel 48-core Single-Chip Cloud Computer by parallelizing a fault simulator. The maximum speedup is difficult to obtain due to severe bottlenecks in the system. In order to exploit all the available parallelism of the Single-Chip Cloud Computer, a runtime approach capable of dynamically balancing the load during the fault simulation process is used. The proposed dynamic fault simulation approach on the Single-Chip Cloud Computer shows up to 45X speedup compared to a serial fault simulation approach. Many-core systems can draw enormous amounts of power, and if this power is not controlled properly, the system might get damaged. One way to manage power is to set power budget for the system. But if this power is drawn by just few cores of the many, these few cores get extremely hot and might get damaged. Due to increase in power density multiple thermal sensors are deployed on the chip area to provide realtime temperature feedback for thermal management techniques. Thermal sensor accuracy is extremely prone to intra-die process variation and aging phenomena. These factors lead to a situation where thermal sensor values drift from the nominal values. This necessitates efficient calibration techniques to be applied before the sensor values are used. In addition, in modern many-core systems cores have support for dynamic voltage and frequency scaling. Thermal sensors located on cores are sensitive to the core's current voltage level, meaning that dedicated calibration is needed for each voltage level. In this thesis a general-purpose software-based auto-calibration approach is also proposed for thermal sensors to calibrate thermal sensors on different range of voltages.

A series of trials in the UK as part of the Ofcom TV white spaces pilot

“Copyright © [2014] IEEE. Reprinted from 1st International Workshop on Cognitive Cellular Systems 2014 . ISBN: 978-1-4799-4139-1 .This material is posted here with permission of the IEEE. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.”

Gasificação de biomassa num reator de leito fluidizado à escala piloto

A gasificação de biomassa permite a produção de um gás combustível com capacidade para reduzir o consumo de combustíveis fósseis. Contudo, para promover a utilização deste processo a nível industrial é necessário ultrapassar diversas limitações e elaborar tecnologias de gasificação que sejam mais rentáveis e eficientes. No presente trabalho efetuou-se a gasificação direta com ar, num reator auto-térmico com um leito fluidizado borbulhante, de diferentes tipos de biomassa provenientes da floresta portuguesa, nomeadamente pellets de madeira e diferentes tipos de biomassa florestal residual derivada de eucalipto. A investigação foi realizada numa instalação à escala piloto localizada no Departamento de Ambiente e Ordenamento da Universidade de Aveiro. A infraestrutura foi desenvolvida de modo a permitir o estudo do processo de gasificação de biomassa. O reator utilizado apresenta 3 metros de altura, consistindo a câmara de gasificação em 2.25 metros, 0.25 metros de diâmetro interno e uma potência entre 40 e 70 kWth. O leito é composto por areia (partículas com granulometria entre os 355 e 1000 µm) e tem uma altura de 0.23 m. A infraestrutura experimental oferece condições para efetuar a gasificação de biomassa, determinar a composição do gás produzido em termos de CO, CO2, H2, N2, CH4 e C2H4 e efetuar a sua combustão num queimador localizado a jusante do reator. O leito fluidizado operou com temperaturas médias entre os 700 e 850ºC. Para as razões de equivalência estabelecidas, entre 0.17 e 0.36, o gás seco apresentou uma composição que, em termos volumétricos e em função das condições operatórias, variou entre 14.0 a 21.4% CO, 14.2 a 17.5% CO2, 3.6 a 5.8% CH4, 1.3 a 2.4% C2H4, 2.0 a 10.2% H2 e 48.9 a 61.1% N2. A maior concentração de CO, CH4 e C2H4 foi observada durante a gasificação de biomassa residual florestal derivada de eucalipto com razão de equivalência de 0.17, contudo, a maior concentração de H2 foi obtida na gasificação de pellets de madeira com razão de equivalência de 0.25. Tendo em conta a composição gasosa, o poder calorífico inferior do gás seco encontrou-se entre 4.4 e 6.9 MJ/Nm3 e os valores mais elevados foram observados durante os processos de gasificação efetuados com menor razão de equivalência. A produção específica de gás variou entre 1.2 e 2.2 Nm3/kg biomassa bs, a eficiência do gás arrefecido entre 41.1 e 62.6% e a eficiência de conversão de carbono entre 60.0 e 87.5%, encontrando-se na gama dos valores reportados na literatura. A melhor condição, em termos da eficiência de gás arrefecido, consistiu na gasificação de biomassa residual florestal derivada de eucalipto com razão de equivalência de 0.25, e em termos da produção específica de gás seco e eficiência de conversão de carbono, na gasificação de biomassa residual florestal derivada de eucalipto com razão de equivalência de 0.35. Contudo, o gás com maior poder calorífico inferior foi obtido durante a gasificação de biomassa residual florestal derivada de eucalipto com razão de equivalência de 0.17. O reator demonstrou adequabilidade na gasificação de diferentes tipos de biomassa e foram observadas condições estáveis de operação, tanto em termos de temperatura como da composição do gás produzido. Geralmente, o gás apresentou propriedades combustíveis apropriadas para ser comburido de forma contínua e estável pelo queimador de gás, sem ser necessária uma fonte de ignição permanente ou a utilização de um combustível auxiliar.

Effect of grape seed extract on oxidative, color and sensory stability of pre-cooked, frozen, re-heated beef sausage model system

The processing of meats at the factory level can trigger the onset of lipid oxidation, which can lead to meat quality deterioration. Warmed over flavor is an off-flavor, which is associated with oxidative deterioration in meat. To avoid or delay the auto-oxidation process in meat products, synthetic and natural antioxidants have been successfully used. Grape (Vitis Vinifera) is of special interest due to its high content of phenolic compounds. Grape seed extract sold commercially as a dietary supplement, has the potential to reduce lipid oxidation and WOF in cooked ground beef when added at 1%. The objective of study 1 was to compare the antioxidant activity of natural antioxidants including grape seed extract and some herbs belonging to the Lamiaciae family: rosemary (Rosmarinus Officinalis), sage (Salvia Officinalis) and oregano (Origanum Vulgare) with commercial synthetic antioxidants like BHT, BHA, propyl gallate and ascorbic acid using the ORAC assay. All sample solutions were prepared to contain 1.8 gm sample/10 ml solvent. The highest antioxidant activity was observed for the grape seed extract sample (359.75 µM TE), while the lowest was observed for BHA, propyl gallate and rosemary also showed higher antioxidant potential with ORAC values above 300 μmol TE/g. ORAC values obtained for ascorbic acid and Sage were between 250-300μ mol TE/g while lowest values were obtained for Butylated Hydroxytoluene (28.50 µM TE). Based on the high ORAC values obtained for grape seed extract, we can conclude that byproducts of the wine/grape industry have antioxidant potential comparable to or better than those present in synthetic counterparts. The objective of study 2 was to compare three levels of grape seed extract (GSE) to commonly used antioxidants in a pre-cooked, frozen, stored beef and pork sausage model system. Antioxidants added for comparison with control included grape seed extract (100, 300, 500 ppm), ascorbic acid (AA, 100 ppm of fat) and propyl gallate (PG, 100 ppm of fat). Product was formed into rolls, frozen, sliced into patties, cooked on a flat griddle to 70C, overwrapped in PVC, and then frozen at –18C for 4 months. GSE- and PG-containing samples retained their fresh cooked beef odor and flavor longer (p<0.05) than controls during storage. Rancid odor and flavor scores of GSE-containing samples were lower (p<0.05) than those of controls after 4 months of storage. The L* value of all samples increased (p<0.05) during storage. Thiobarbituric acid reactive substances (TBARS) of the control and AA-containing samples increased (p<0.05); those of GSE-containing samples did not change significantly (p>0.05) over the storage period.

A pilot study on the productivity and behavior of the gestating sow housed in a flex stall

Animal welfare is a controversial topic in modern animal agriculture, partly because it generates interest from both the scientific community and the general public. The housing of gestating sows, particularly individual housing, is one of the most critical concerns in farm animal welfare. We hypothesize that the physical size of the standard gestation stall may limit movement and evoke demands and challenges on the sow to affect the physiological and psychological well-being of the individually housed sow. Thus, improvements in the design of the individual gestation stall system that allow more freedom to move, such as increasing stall width or designing a stall that could accommodate the changing size of the pregnant sow, may improve sow welfare. The objective of this pilot study was to evaluate the effects of a width adjustable stall (FLEX) on productivity and behavior of dry sows. The experiment consisted of 3 replications (block 1, n=4 sows; block 2, n=4 sows; block 3, n=8 sows), and multi-parious sows were allotted to either a FLEX stall or standard gestation stall for 1 gestation period. Sow mid-girth (top of the back to bottom of the udder) was measured 5-6 times throughout gestation to determine the best time points for FLEX stall width expansions. FLEX stall width was adjusted according to mid-girth measurements, and expanded to achieve an additional 2 cm of space between the bottom of the sow’s udder and floor of the stall so that sows could lie in full lateral recumbency without touching the sides of the stall. Productivity data recorded included: sow body weight (BW) and BW gain, number of piglets born and born alive, proportions of piglets stillborn, mummified, lost between birth and weaning, and weaned, and litter and mean piglet birth BW, weaning BW, and average BW gain from birth-to-weaning. Lesions were recorded on d 21 and d 111 of gestation. Sub-pilot behavior data were observed and registered for replicate 1 sows using continuous video-records for the l2 hour lights on period (period 1, 0600-1000; period 2, 1000-1400; period 3, 1400-1800) prior FLEX stall adjustment and 12 hour lights on period post adjustment on d 21, 22, 23, 43, 44, 45, 93, 94, 95. A randomized complete block design with a 2 × 2 factorial arrangement for treatments was used to analyze sow productivity and performance traits. Data were analyzed using the Mixed Models procedure of SAS. A preliminary analysis of data means and numerical trends was used to analyze sow behavior measurements. Sows housed in a FLEX stall had more (P < 0.05) total born and a tendency for more piglets born alive (P = 0.06) than sows housed in a standard stall. Sow body weight also tended to be higher (P = 0.06) for sows housed in a FLEX stall compared to sows housed in a standard stall. There were numerical trends for mean durations of sit, lay, lay (OUT), and eat behaviors to be greater for sows housed in a FLEX stall compared with sows housed in a standard stall. The mean duration of lay (IN) behavior tended to be numerically less for sows housed in a FLEX stall compared with sows housed in a standard stall. There were numerical trends for the mean durations of stand and drink behaviors to be greater for sows housed in a standard stall compared with sows housed in a FLEX stall. The mean frequencies of postural changes and mean durations of oral-nasal-facial and sham-chew behaviors were numerically similar between types of gestation stall. Mean durations and numerical trends indicate that time of day influenced all of the behaviors assessed in this study. The results of this pilot study indicate that the adjustable FLEX stall may affect sow productivity and behavior differently than the standard gestation stall, and thus potentially improve sow well-being. Future research should continue to compare the new FLEX stall design to current housing systems in use and examine physiological traits and immune status in addition to behavioral and productivity traits to assess the effects that this housing system has on the overall welfare of the gestating sow.

PARTICIPATORY PLANNING PILOT CASE STUDY IN CHINA: REALITY, CHALLENGES & LESSONS LEARNED FROM US

Urban planning in China is in a period of change, where participatory planning may supplement the traditional planning system. Since the beginning of the 21st century, several pilot participatory planning projects have responded to the new challenge. The author collected eight cases from the Chinese planning institution to explore the possible models of and barriers to participatory planning. On the other hand, public participation has been a concrete component of planning and implementation process in the United States. The author will also elaborate on one practical case of the planning process in the United States to compare the two countries on planning methods and barriers.

The development and field test of a Mealtime Interaction Clinical Observation Tool: a pilot study and clinical research portfolio

Objective: The purpose of this study was to develop and test psychometric properties of a Mealtime Interaction Clinical Observation Tool (MICOT) that could be used to facilitate assessment and behavioural intervention in childhood feeding difficulties. Methods: Thematic analysis of four focus groups with feeding and behaviour experts identified the content and structure of the MICOT. Following refinement, inter-rater reliability was tested between three healthcare professionals. Results: Six themes were identified for the MICOT, which utilises a traffic-light system to identify areas of strength and areas for intervention. Despite poor inter-rater reliability, for which a number of reasons are postulated, some correlation between psychologists’ ratings was evident. Healthcare professionals liked the tool and reported that it could have good clinical utility. Conclusion: The study provides a promising first version of a clinical observation tool that facilitates assessment and behavioural intervention in childhood feeding difficulties.

Modelling of an efficient dynamic smart solar photovoltaic power grid system

A smart solar photovoltaic grid system is an advent of innovation coherence of information and communications technology (ICT) with power systems control engineering via the internet [1]. This thesis designs and demonstrates a smart solar photovoltaic grid system that is selfhealing, environmental and consumer friendly, but also with the ability to accommodate other renewable sources of energy generation seamlessly, creating a healthy competitive energy industry and optimising energy assets efficiency. This thesis also presents the modelling of an efficient dynamic smart solar photovoltaic power grid system by exploring the maximum power point tracking efficiency, optimisation of the smart solar photovoltaic array through modelling and simulation to improve the quality of design for the solar photovoltaic module. In contrast, over the past decade quite promising results have been published in literature, most of which have not addressed the basis of the research questions in this thesis. The Levenberg-Marquardt and sparse based algorithms have proven to be very effective tools in helping to improve the quality of design for solar photovoltaic modules, minimising the possible relative errors in this thesis. Guided by theoretical and analytical reviews in literature, this research has carefully chosen the MatLab/Simulink software toolbox for modelling and simulation experiments performed on the static smart solar grid system. The auto-correlation coefficient results obtained from the modelling experiments give an accuracy of 99% with negligible mean square error (MSE), root mean square error (RMSE) and standard deviation. This thesis further explores the design and implementation of a robust real-time online solar photovoltaic monitoring system, establishing a comparative study of two solar photovoltaic tracking systems which provide remote access to the harvested energy data. This research made a landmark innovation in designing and implementing a unique approach for online remote access solar photovoltaic monitoring systems providing updated information of the energy produced by the solar photovoltaic module at the site location. In addressing the challenge of online solar photovoltaic monitoring systems, Darfon online data logger device has been systematically integrated into the design for a comparative study of the two solar photovoltaic tracking systems examined in this thesis. The site location for the comparative study of the solar photovoltaic tracking systems is at the National Kaohsiung University of Applied Sciences, Taiwan, R.O.C. The overall comparative energy output efficiency of the azimuthal-altitude dual-axis over the 450 stationary solar photovoltaic monitoring system as observed at the research location site is about 72% based on the total energy produced, estimated money saved and the amount of CO2 reduction achieved. Similarly, in comparing the total amount of energy produced by the two solar photovoltaic tracking systems, the overall daily generated energy for the month of July shows the effectiveness of the azimuthal-altitude tracking systems over the 450 stationary solar photovoltaic system. It was found that the azimuthal-altitude dual-axis tracking systems were about 68.43% efficient compared to the 450 stationary solar photovoltaic systems. Lastly, the overall comparative hourly energy efficiency of the azimuthal-altitude dual-axis over the 450 stationary solar photovoltaic energy system was found to be 74.2% efficient. Results from this research are quite promising and significant in satisfying the purpose of the research objectives and questions posed in the thesis. The new algorithms introduced in this research and the statistical measures applied to the modelling and simulation of a smart static solar photovoltaic grid system performance outperformed other previous works in reviewed literature. Based on this new implementation design of the online data logging systems for solar photovoltaic monitoring, it is possible for the first time to have online on-site information of the energy produced remotely, fault identification and rectification, maintenance and recovery time deployed as fast as possible. The results presented in this research as Internet of things (IoT) on smart solar grid systems are likely to offer real-life experiences especially both to the existing body of knowledge and the future solar photovoltaic energy industry irrespective of the study site location for the comparative solar photovoltaic tracking systems. While the thesis has contributed to the smart solar photovoltaic grid system, it has also highlighted areas of further research and the need to investigate more on improving the choice and quality design for solar photovoltaic modules. Finally, it has also made recommendations for further research in the minimization of the absolute or relative errors in the quality and design of the smart static solar photovoltaic module.

Design and Pilot Study for an Efficient High-Throughput Automated Computer-Vision Guided Intelligent De-Calyxing Machine for Post-Harvest Strawberry Processing

Strawberries harvested for processing as frozen fruits are currently de-calyxed manually in the field. This process requires the removal of the stem cap with green leaves (i.e. the calyx) and incurs many disadvantages when performed by hand. Not only does it necessitate the need to maintain cutting tool sanitation, but it also increases labor time and exposure of the de-capped strawberries before in-plant processing. This leads to labor inefficiency and decreased harvest yield. By moving the calyx removal process from the fields to the processing plants, this new practice would reduce field labor and improve management and logistics, while increasing annual yield. As labor prices continue to increase, the strawberry industry has shown great interest in the development and implementation of an automated calyx removal system. In response, this dissertation describes the design, operation, and performance of a full-scale automatic vision-guided intelligent de-calyxing (AVID) prototype machine. The AVID machine utilizes commercially available equipment to produce a relatively low cost automated de-calyxing system that can be retrofitted into existing food processing facilities. This dissertation is broken up into five sections. The first two sections include a machine overview and a 12-week processing plant pilot study. Results of the pilot study indicate the AVID machine is able to de-calyx grade-1-with-cap conical strawberries at roughly 66 percent output weight yield at a throughput of 10,000 pounds per hour. The remaining three sections describe in detail the three main components of the machine: a strawberry loading and orientation conveyor, a machine vision system for calyx identification, and a synchronized multi-waterjet knife calyx removal system. In short, the loading system utilizes rotational energy to orient conical strawberries. The machine vision system determines cut locations through RGB real-time feature extraction. The high-speed multi-waterjet knife system uses direct drive actuation to locate 30,000 psi cutting streams to precise coordinates for calyx removal. Based on the observations and studies performed within this dissertation, the AVID machine is seen to be a viable option for automated high-throughput strawberry calyx removal. A summary of future tasks and further improvements is discussed at the end.

Predictors of Patient Activation Among Underserved Patients in a Nurse-managed Health Center: A Pilot Study

The concept of patient activation has gained traction as the term referring to patients who understand their role in the care process and have “the knowledge, skills and confidence” necessary to manage their illness over time (Hibbard & Mahoney, 2010). Improving health outcomes for vulnerable and underserved populations who bear a disproportionate burden of health disparities presents unique challenges for nurse practitioners who provide primary care in nurse-managed health centers. Evidence that activation improves patient self-management is prompting the search for theory-based self-management support interventions to activate patients for self-management, improve health outcomes, and sustain long-term gains. Yet, no previous studies investigated the relationship between Self-determination Theory (SDT; Deci & Ryan, 2000) and activation. The major purpose of this study, guided by the Triple Aim (Berwick, Nolan, & Whittington, 2008) and nested in the Chronic Care Model (Wagner et al., 2001), was to examine the degree to which two constructs– Autonomy Support and Autonomous Motivation– independently predicted Patient Activation, controlling for covariates. For this study, 130 nurse-managed health center patients completed an on-line 38-item survey onsite. The two independent measures were the 6-item Modified Health Care Climate Questionnaire (mHCCQ; Williams, McGregor, King, Nelson, & Glasgow, 2005; Cronbach’s alpha =0.89) and the 8-item adapted Treatment Self-Regulation Questionnaire (TSRQ; Williams, Freedman, & Deci, 1998; Cronbach’s alpha = 0.80). The Patient Activation Measure (PAM-13; Hibbard, Mahoney, Stock, & Tusler, 2005; Cronbach’s alpha = 0.89) was the dependent measure. Autonomy Support was the only significant predictor, explaining 19.1% of the variance in patient activation. Five of six autonomy support survey items regressed on activation were significant, illustrating autonomy supportive communication styles contributing to activation. These results suggest theory-based patient, provider, and system level interventions to enhance self-management in primary care and educational and professional development curricula. Future investigations should examine additional sources of autonomy support and different measurements of autonomous motivation to improve the predictive power of the model. Longitudinal analyses should be conducted to further understand the relationship between autonomy support and autonomous motivation with patient activation, based on the premise that patient activation will sustain behavior change.

Multifactorial approach to non-viral gene therapy: development of an efficient system for the retina

Tese de Doutoramento, Ciências Biomédicas, Departamento de Ciências Biomédicas e Medicina, Universidade do Algarve, 2016

Projeto, construção e análise de um prototipo vibracional em escala de bancada aplicável ao tratamento de água de produção de petróleo bruto, mediante inovadora operação híbrida de adsorção e auto-flotação

A self-flotator vibrational prototype electromechanical drive for treatment of oil and water emulsion or like emulsion is presented and evaluated. Oil production and refining to obtain derivatives is carried out under arrangements technically referred to as on-shore and off-shore, ie, on the continent and in the sea. In Brazil 80 % of the petroleum production is taken at sea and area of deployment and it cost scale are worrisome. It is associated, oily water production on a large scale, carrier 95% of the potential pollutant of activity whose final destination is the environment medium, terrestrial or maritime. Although diversified set of techniques and water treatment systems are in use or research, we propose an innovative system that operates in a sustainable way without chemical additives, for the good of the ecosystem. Labyrinth adsor-bent is used in metal spirals, and laboratory scale flow. Equipment and process patents are claimed. Treatments were performed at different flow rates and bands often monitored with control systems, some built, other bought for this purpose. Measurements of the levels of oil and grease (OGC) of efluents treaty remained within the range of legal framework under test conditions. Adsorbents were weighed before and after treatment for obtaining oil impregna-tion, the performance goal of vibratory action and treatment as a whole. Treatment technolo-gies in course are referenced, to compare performance, qualitatively and quantitatively. The vibration energy consumption is faced with and without conventional flotation and self-flotation. There are good prospects for the proposed, especially in reducing the residence time, by capillary action system. The impregnation dimensionless parameter was created and confronted with consecrated dimensionless parameters, on the vibrational version, such as Weber number and Froude number in quadratic form, referred to as vibrational criticality. Re-sults suggest limits to the vibration intensity

Évaluation de la plateforme de formation en ligne MOTIV@CŒUR sur les interventions motivationnelles brèves auprès d’infirmières en soins aigus cardiovasculaires

Dans un contexte de prévention secondaire, les interventions motivationnelles brèves (IMB) effectuées par les infirmières ont le potentiel de réduire les facteurs de risque cardiovasculaires. De par sa flexibilité, la formation en ligne s’impose aujourd’hui comme une méthode pédagogique essentielle au développement des habiletés cliniques des professionnels de la santé. Le but de ce projet était d’évaluer la faisabilité, l’acceptabilité et l’effet préliminaire d’une plateforme de formation en ligne sur les IMB (MOTIV@CŒUR) sur les habiletés perçues et l’utilisation clinique des IMB chez des infirmières en soins cardiovasculaires. Pour ce faire, une étude pilote pré-post à groupe unique a été menée. MOTIV@CŒUR est composée de deux sessions d’une durée totale de 50 minutes incluant des vidéos d’interactions infirmière-patient. Dans chaque session, une introduction théorique aux IMB est suivie de situations cliniques dans lesquelles une infirmière évalue la motivation à changer et intervient selon les principes des IMB. Les situations ciblent le tabagisme, la non-adhérence au traitement médicamenteux, la sédentarité et une alimentation riche en gras et en sel. Il était suggéré aux infirmières de compléter les deux sessions de formation en ligne en moins de 20 jours. Les données sur la faisabilité, l'acceptabilité et les effets préliminaires (habiletés perçues et utilisation clinique auto-rapportée des IMB) ont été recueillies à 30 jours (± 5 jours) après la première session. Nous avons recruté 27 femmes et 4 hommes (âge moyen 37 ans ± 9) en mars 2016. Vingt-quatre des 31 participants (77%) ont terminé les deux sessions de formation en moins de 20 jours. À un mois suite à l’entrée dans l’étude, 28 des 31 participants avaient complété au moins une session. Un haut niveau d’acceptabilité a été observé vu les scores élevés quant à la qualité de l'information, la facilité d'utilisation perçue et la qualité de la plateforme MOTIV@CŒUR. Le score d'utilisation clinique auto-rapporté des interventions visant la confiance était plus élevé après les deux sessions qu’avant les sessions (P = .032). Bien que tous les scores fussent plus élevés après les deux sessions qu’au début, les autres résultats n’étaient pas statistiquement significatifs. En conclusion, l’implantation d’une plateforme de formation en ligne sur les IMB est à la fois faisable et acceptable auprès d’infirmières en soins aigus cardiovasculaires. De plus, une telle formation peut avoir un effet positif sur l'utilisation clinique d’interventions motivationnelles visant la confiance face au changement de comportement de santé.

Évaluation de la plateforme de formation en ligne MOTIV@CŒUR sur les interventions motivationnelles brèves auprès d’infirmières en soins aigus cardiovasculaires

Dans un contexte de prévention secondaire, les interventions motivationnelles brèves (IMB) effectuées par les infirmières ont le potentiel de réduire les facteurs de risque cardiovasculaires. De par sa flexibilité, la formation en ligne s’impose aujourd’hui comme une méthode pédagogique essentielle au développement des habiletés cliniques des professionnels de la santé. Le but de ce projet était d’évaluer la faisabilité, l’acceptabilité et l’effet préliminaire d’une plateforme de formation en ligne sur les IMB (MOTIV@CŒUR) sur les habiletés perçues et l’utilisation clinique des IMB chez des infirmières en soins cardiovasculaires. Pour ce faire, une étude pilote pré-post à groupe unique a été menée. MOTIV@CŒUR est composée de deux sessions d’une durée totale de 50 minutes incluant des vidéos d’interactions infirmière-patient. Dans chaque session, une introduction théorique aux IMB est suivie de situations cliniques dans lesquelles une infirmière évalue la motivation à changer et intervient selon les principes des IMB. Les situations ciblent le tabagisme, la non-adhérence au traitement médicamenteux, la sédentarité et une alimentation riche en gras et en sel. Il était suggéré aux infirmières de compléter les deux sessions de formation en ligne en moins de 20 jours. Les données sur la faisabilité, l'acceptabilité et les effets préliminaires (habiletés perçues et utilisation clinique auto-rapportée des IMB) ont été recueillies à 30 jours (± 5 jours) après la première session. Nous avons recruté 27 femmes et 4 hommes (âge moyen 37 ans ± 9) en mars 2016. Vingt-quatre des 31 participants (77%) ont terminé les deux sessions de formation en moins de 20 jours. À un mois suite à l’entrée dans l’étude, 28 des 31 participants avaient complété au moins une session. Un haut niveau d’acceptabilité a été observé vu les scores élevés quant à la qualité de l'information, la facilité d'utilisation perçue et la qualité de la plateforme MOTIV@CŒUR. Le score d'utilisation clinique auto-rapporté des interventions visant la confiance était plus élevé après les deux sessions qu’avant les sessions (P = .032). Bien que tous les scores fussent plus élevés après les deux sessions qu’au début, les autres résultats n’étaient pas statistiquement significatifs. En conclusion, l’implantation d’une plateforme de formation en ligne sur les IMB est à la fois faisable et acceptable auprès d’infirmières en soins aigus cardiovasculaires. De plus, une telle formation peut avoir un effet positif sur l'utilisation clinique d’interventions motivationnelles visant la confiance face au changement de comportement de santé.