206 research outputs found
Assembling more O2 uptake responses: Is it possible to merely stack the repeated transitions?
No full textKinetic parameters for pulmonary O2 uptake at exercise onset are estimated by non-linear regression on repeated responses assembled together. The native data contain the information, thus the "stacking" of the responses should provide correct values and uncertainties. Kinetic parameters and corresponding uncertainties (computed from the asymptotic standard errors; ASE) were estimated on 104 simulated noisy responses (with time constant τ=25s), repeated 10 times and assembled over an increasing number of repetitions (Nr) by "stacking" or ensemble averaging the responses processed to obtain 1s bins ("1-s-bins"). Independent of the assembling method, the average estimated τ amounted to ~25.05s. Independent of Nr, the "1-s-bins" and the "stacking" yielded an ASE/SD ratio for τ amounting to ~0.52 and ~0.98, respectively, resulting in a probability of including τ=25s within the estimated uncertainty from an individual kinetics amounting to ~70% and >94% for the "1-s-bins" and the "stacking", respectively. In conclusion, the "stacking" allowed obtaining, also for individual kinetics, coherent estimated parameters and associated uncertaintie
Confidence Intervals of the parameters estimated from simulated O2 uptake kinetics: effects of different data treatments.
No full textThe behaviour of pulmonary O2 uptake following a moderate-intensity step exercise increment is usually described by a first brief increase, followed by a second exponential time course reaching the new steady state (phase II). The parameters describing the phase II kinetics are investigated by applying different data treatments to the acquired O2 uptake data to reduce the effects of their noise before running a non-linear regression procedure. The effects of different data treatments (nothing, resampling at various time intervals or averaging of more repetitions) on the precision and/or accuracy of the kinetics parameters estimated by non-linear regression with a simple mono-exponential model were investigated by artificially generating 105 simulated responses with average breath duration of 3.5 s. The simulations showed that, whatever the explored data treatment, the average estimated parameters were close to the theoretical ones. Nevertheless, in all the explored conditions, the non-linear regression provided narrower asymptotic confidence intervals than the real ones. In particular, when the responses were resampled at 1 s time intervals, the width of the asymptotic confidence interval for the time constant was 50% of the real one, even after the averaging of more repetitions. The reasons for this discrepancy were investigated further, allowing us to identify some methods to obtain the correct confidence interval of the O2 uptake kinetics parameters. The simplest method to obtain an asymptotic confidence interval close to the real one is to average more responses resampled to a time interval slightly longer than the average breath duratio
Interpreting the confidence intervals of model parameters of breath-by-breath pulmonary O2 uptake
No full textTechnology innovation in healthcare and changing patient’s behaviors: new challenges for marketing
No full textThe authors aim to determine the role of an innovative healthcare marketing approach, emerging within the context of recent health technological developments and in the light of a new patient profile.
In the first section of the paper, academic literature allows reaching a full understanding of recent innovations in the healthcare industry and of the new expectations arising in today’s patients. On one side, health information technology (HIT) mainly focuses on enhancing life expectancy and on improving diagnostic and treatment options, both in an efficient and cost effective way. On the other, today’s patients are willing to accept HIT applications and switch to new and unconventional service delivery solutions in order to get a better care experience and a deeper involvement in the care process.
In the second section, results of an empirical research based on primary data provide evidence of patients’ emerging value drivers.
Our aim is to present a critical discussion on how a marketing-based approach could lead to better results, from both the patient’s and healthcare provider’s point of view. As a consequence, a major reengineering of healthcare services is required and must be driven by a new healthcare marketing approach
A marketing perspective to “delight” the “patient 2.0”: new and challenging expectations for the healthcare provider
No full textBackground: The study aims at investigating the characteristics and the satisfaction determinants of the emerging
patient profile. This profile appears to be more demanding and “empowered” compared to the ones traditionally
conceived, asking for unconventional healthcare services and for a closer relationship with providers.
Methods: Both qualitative (semi-structured interviews and focus groups) and quantitative (survey) analyses were
performed on a random sample of 2808 Italian citizens-patients. Analyses entailed descriptive statistics, bivariate
analysis and linear regressions.
Results: Four relevant dimensions of patient 2.0 experience were identified through a literature review on
experiential marketing in healthcare. Beta coefficients exhibited the effect that different healthcare experiential
elements have on patient 2.0 satisfaction.
Conclusions: Results allow to state that a new marketing approach, based on patient 2.0 characteristics and value
drivers, should be adopted in the healthcare sector. Critical satisfaction drivers and new technological healthcare
guidelines are identified in order to match the new patient profile needs
The advertising - "text and driving" behavior relationship: theory and evidence of a shock advertising experiment
No full textWe investigate how shock advertising communication affects people’s driving behaviors.
Texting while driving is a dangerous practice becoming increasingly common, especially among young people. The research compares a social shock advertising style versus a traditional communication style in preventing dangerous driving habits.
We found that shock advertising had a significant impact on drivers’ intentions about whether or not to use portable communication devices (i.e. smartphones, tablets) while driving.
This paper offers insights on how to design effective social communication strategies able to affect recipients’ behaviors
The role of social marketing communications in influencing "Text and Driving" behaviors: theory and evidence from an international sample
No full texthttps://doi.org/10.5176/2010-4804_4.3.378Texting while driving is a dangerous practice becoming increasingly common, especially among young people. This paper aims to understand the role of social marketing communication in affecting people’s driving behaviors. The presented research compares the effectiveness of different social communication styles (traditional or shock), formats (text images, images, community initiatives and videos) and media (TV, radio, leaflet, poster, web, social networks) in influencing the use of a smartphone while driving. We found that shock advertising has a significant impact on drivers’ intentions about whether or not to use portable communication devices (i.e. smartphones, tablets) while driving. We also found that this impact especially counts for women. Both risk self-assessment and risk propensity improve after exposure to social advertisement. The strongest impact on recipients is achieved through shock advertising when broadcasted through online videos. Video advertising campaigns are also more likely to be shared than others on social networks, especially in the shock style advertisement. Finally, dvertising through television and social media appear to have the highest impact on drivers’behaviors. This paper offers some insights on how to design effective social communication strategies in order to affect drivers’ behaviors.Texting while driving is a dangerous practice becoming increasingly common, especially among young people. This paper aims to understand the role of social marketing communication in affecting people’s driving behaviors. The presented research compares the effectiveness of different social communication styles (traditional or shock), formats (text images, images, community initiatives and videos) and media (TV, radio, leaflet, poster, web, social networks) in influencing the use of a smartphone while driving. We found that shock advertising has a significant impact on drivers’ intentions about whether or not to use portable communication devices (i.e. smartphones, tablets) while driving. We also found that this impact especially counts for women. Both risk self-assessment and risk propensity improve after exposure to social advertisement. The strongest impact on recipients is achieved through shock advertising when broadcasted through online videos. Video advertising campaigns are also more likely to be shared than others on social networks, especially in the shock style advertisement. Finally, dvertising through television and social media appear to have the highest impact on drivers’behaviors. This paper offers some insights on how to design effective social communication strategies in order to affect drivers’ behaviors
The role of social marketing communications in influencing "Text and Driving" behaviors: theory and evidence from an international sample
No full textTexting while driving is a dangerous practice becoming increasingly common, especially among young people. This paper aims to understand the role of social marketing communication in affecting people’s driving behaviors. The presented research compares the effectiveness of different social communication styles (traditional or shock), formats (text images, images, community initiatives and videos) and media (TV, radio, leaflet, poster, web, social networks) in influencing the use of a smartphone while driving. We found that shock advertising has a significant impact on drivers’ intentions about whether or not to use portable communication devices (i.e. smartphones, tablets) while driving. We also found that this impact especially counts for women. Both risk self-assessment and risk propensity improve after exposure to social advertisement. The strongest impact on recipients is achieved through shock advertising when broadcasted through online videos. Video advertising campaigns are also more likely to be shared than others on social networks, especially in the shock style advertisement. Finally, dvertising through television and social media appear to have the highest impact on drivers’behaviors. This paper offers some insights on how to design effective social communication strategies in order to affect drivers’ behaviors
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