scholarly journals Educated Choices Program: An Impact Evaluation of a Classroom Intervention to Reduce Animal Product Consumption

2020 ◽  
Author(s):  
Christopher John Bryant ◽  
Courtney Dillard
Keyword(s):  
Educational Intervention ◽  
Student Attitudes ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Cost Effective ◽  
Educational Interventions ◽  
Student Survey ◽  
Strong Basis ◽  
Effective Interventions ◽  
Survey Responses

In this comprehensive evaluation of Educated Choices Program’s educational intervention, we report on our analysis of 95,241 student survey responses. We are excited to share these findings for a number of reasons. First and foremost, our analysis clearly demonstrates the effectiveness of this educational intervention in positively impacting student attitudes, behavioral intentions and self-reported behaviors in regard to their food choices. The scale of the dataset and the comprehensive nature of the analyses conducted provides a strong basis for funding considerations for educational interventions. This is particularly heartening because similar impacts have been difficult to find in other consumer-facing advocacy interventions. As will be highlighted later in the report, ECP’s model of intervention is both high quality and cost effective, allaying some fears about the feasibility of deploying effective interventions of this nature on a large scale.

scholarly journals Cost-effective Evaluation of an Educational Intervention based on Multiple Intelligences Versus Traditional Care to Improve Exclusive Breastfeeding in Mothers’ Clubs in Peru

2021 ◽  
Vol 39 (2) ◽  
Author(s):  
Rubén Balabonce Chumpitaz Durand ◽  
Norma del Carmen Gálvez Díaz ◽  
Daniel Ángel Córdova Sotomayor
Keyword(s):  
Cost Effectiveness ◽  
Multiple Intelligences ◽  
Educational Intervention ◽  
Cost Effective ◽  
Educational Interventions ◽  
Effective Evaluation ◽  
Breastfeeding Practices ◽  
Traditional Program ◽  
Level Of Knowledge ◽  
The Cost

Objective. This work sought to evaluate the cost-effectiveness of two educational interventions to improve exclusive maternal breastfeeding in mothers’ clubs in Peru.  Methods. This is a retrospective, longitudinal descriptive study, which reviewed 113 information registries of mothers participating in a traditional educational intervention and 104 mothers with intervention based on multiple intelligences, evaluating the level of knowledge and exclusive maternal breastfeeding practices through observation visits.  Results. The intervention based on multiple intelligences achieved greater cost-effectiveness than the traditional intervention given that with lower investment, it managed to get 56.73% of the mothers to increase their knowledge and 68.27% to practice exclusive maternal breastfeeding from six months to more months in comparison with the traditional intervention in which 41.59% and 43.36% improved, respectively. Moreover, for its effective application, on every 100 mothers, its investment would result lower than the traditional program.  Conclusion. Upon applying satisfactorily the cost-effectiveness evaluation, as model to compare educational interventions on exclusive maternal breastfeeding, better results were determined with the intervention based on multiple intelligences compared with the traditional intervention, given that with lower investment, it was possible to benefit a greater number of mothers in their level of knowledge and practices of maternal breastfeeding.

scholarly journals The Effectiveness of Mobile Application as Educational Intervention to Prevent Stunting: A Systematic Review

2020 ◽  
Author(s):  
Naenda Stasya ◽  
◽  
Wahyu Sulistiadi ◽  
Keyword(s):  
Systematic Review ◽  
Health Promotion ◽  
Educational Intervention ◽  
Communication Technology ◽  
Mobile Applications ◽  
Mobile Application ◽  
Technology Development ◽  
Meta Analysis ◽  
Cost Effective ◽  
Educational Interventions

Background: Stunting is a global issue that, including Indonesia, has not been resolved until now. The Sustainable Development Goals are targeted for 2030 so that the problem of stunting can be fully resolved. In order to reduce the incidence of stunting, interventions through education to increase knowledge and behavior change have been shown to be successful. In order to prevent stunting through mobile applications, communication technology development is expected to be more effective than interpersonal campaigns. This study aimed to analyze the effectiveness of mobile application as educational intervention to prevent stunting. Subjects and Methods: This was a systematic review study. Articles were obtained from Scopus, ProQuest, and Google Scholar through a search using Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA). The articles taken were published in 2019-2020. Results: Of the total of 11 articles, interpersonal educational interventions on health issues have been shown to have significant effects and results. However, there was no study that simultaneously discusses the comparison in one study of the effectiveness of interpersonal education intervention and mobile application. The advantages of intervention through mobile applications were 1) many people in different socio-cultures can accept mobile phones that have been widely used, 2) cost-effective, 3) people can access information easily whenever necessary, and 4) get stronger engagement because monitoring can be carried out continuously. Conclusion: Innovative educational interventions can be carried out through mobile applications with the development of communication technology and health promotion research, which have the advantage of being stronger, easier for the public to accept, stronger engagement, and cost-effectiveness. Keywords: mobile application, health promotion, stunting Correspondence: Naenda Stasya. Masters Program of Hospital Administration, Faculty of Public Health, Universitas Indonesia. Email: [email protected]. Mobile: 082121280037. DOI: https://doi.org/10.26911/the7thicph.02.09

scholarly journals 30 Days Wild: who benefits most?

2018 ◽  
Vol 17 (3) ◽  
pp. 95-104 ◽  
Author(s):  
Miles Richardson ◽  
Kirsten McEwan ◽  
Gulcan Garip
Keyword(s):  
Repeated Measures ◽  
Large Scale ◽  
Community Sample ◽  
Cost Effective ◽  
Well Being ◽  
Content Type ◽  
Nature Connection ◽  
Effective Interventions ◽  
Sustained Effects ◽  
Naturalistic Setting

PurposeThere is a need to provide interventions to improve well-being that are accessible and cost-effective. Interventions to increase engagement with nature are coming to the fore. The Wildlife Trusts 30 Days Wild campaign shows promise as a large-scale intervention for improving public engagement with nature for well-being. The paper aims to discuss this issue.Design/methodology/approachIn total, 273 people fully participated in a repeated measures evaluation comparing baseline measures of nature connection, health, happiness and conservation behaviours with measures post-30 days and 3 months.FindingsThere were sustained and significant increases for scores in nature connection, health, happiness and conservation behaviours. Those with lower scores at baseline in nature connection, conservation behaviours and happiness showed the most benefit. Older participants and those with higher baseline scores in conservation behaviours were the most likely to sustain their engagement with the campaign.Research limitations/implicationsAlthough the design and defined outcomes meet criteria for public health interventions, the self-reported measures, self-selecting sample and attrition are limitations.Originality/valueThe significant and sustained effects of the campaign on health, happiness and nature connection and conservation make this a promising intervention for improving human’s and nature’s well-being. The large community sample and naturalistic setting for the intervention make these data relevant to future interventions and policy.

scholarly journals Effectiveness of intervention programs in primary care for the robust elderly

2015 ◽  
Vol 57 (3) ◽  
pp. 265 ◽  
Author(s):  
Célia Pereira Caldas ◽  
Kenio Costa-de Lima ◽  
Renato Peixoto-Veras ◽  
Luciana Branco da Motta ◽  
Diego Bonfada ◽  
...  
Keyword(s):  
Primary Care ◽  
Care Management ◽  
Elderly Care ◽  
Cost Effective ◽  
The Elderly ◽  
Educational Interventions ◽  
Risk Prevention ◽  
Intervention Programs ◽  
Multidisciplinary Intervention ◽  
Effective Interventions

Objective. This study aimed to search the literature for intervention programs in primary care with a multiprofessional character, specifically directed at the robust elderly, and with viable and cost-effective interventions. Materials and methods. The search strategies were applied in Cochrane, Lilacs, Pubmed, Scopus, WHOLIS, Embase, Medcarib, Scielo, Web of Science, and PAHO databases. Results. 3 665 articles were found and 32 remained for analysis, grouped into four categories: care management; multidisciplinary intervention;interventions on the basis of risk; and educational interventions with health professionals. Conclusion. Strategies such as domestic interventions can promote health and functionality of elderlies, as well as reduce mortality, use of the health system and costs. Besides that, the use of hard and light-hard technologies are important for risk prevention and care management for the elderly. There is a need to create programs for risk prevention and effective management of elderly care at the primary level.

Intelligent Lighting Control System in Large-Scale Sports Competition Venues

2018 ◽  
pp. 172-182 ◽  
Author(s):  
Shengmin CAO
Keyword(s):  
Control System ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Practical Significance ◽  
Lighting Control ◽  
Sports Events ◽  
Planning And Design ◽  
Comprehensive Evaluation Model

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.

Efficient Schedule of Energy-Constrained UAV Using Crowdsourced Buses in Last-Mile Parcel Delivery

2021 ◽  
Vol 5 (1) ◽  
pp. 1-23
Author(s):  
Yan Pan ◽  
Shining Li ◽  
Qianwu Chen ◽  
Nan Zhang ◽  
Tao Cheng ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Large Scale ◽  
Load Capacity ◽  
Scheduling Algorithm ◽  
Cost Effective ◽  
Promising Alternative ◽  
Logistics Industry ◽  
Last Mile ◽  
Delivery Scheduling ◽  
Schedule Approach

Stimulated by the dramatical service demand in the logistics industry, logistics trucks employed in last-mile parcel delivery bring critical public concerns, such as heavy cost burden, traffic congestion and air pollution. Unmanned Aerial Vehicles (UAVs) are a promising alternative tool in last-mile delivery, which is however limited by insufficient flight range and load capacity. This paper presents an innovative energy-limited logistics UAV schedule approach using crowdsourced buses. Specifically, when one UAV delivers a parcel, it first lands on a crowdsourced social bus to parcel destination, gets recharged by the wireless recharger deployed on the bus, and then flies from the bus to the parcel destination. This novel approach not only increases the delivery range and load capacity of battery-limited UAVs, but is also much more cost-effective and environment-friendly than traditional methods. New challenges therefore emerge as the buses with spatiotemporal mobility become the bottleneck during delivery. By landing on buses, an Energy-Neutral Flight Principle and a delivery scheduling algorithm are proposed for the UAVs. Using the Energy-Neutral Flight Principle, each UAV can plan a flying path without depleting energy given buses with uncertain velocities. Besides, the delivery scheduling algorithm optimizes the delivery time and number of delivered parcels given warehouse location, logistics UAVs, parcel locations and buses. Comprehensive evaluations using a large-scale bus dataset demonstrate the superiority of the innovative logistics UAV schedule approach.

Development of a multimedia intervention to improve pneumoconiosis prevention in construction workers using RE-AIM framework

2021 ◽  
Author(s):  
Jieling Chen ◽  
Cho Lee Wong ◽  
Bernard Man Hin Law ◽  
Winnie Kwok Wei So ◽  
Doris Yin Ping Leung ◽  
...  
Keyword(s):  
South Asian ◽  
Educational Intervention ◽  
Self Efficacy ◽  
Intervention Mapping ◽  
Intervention Development ◽  
Educational Interventions ◽  
Construction Workers ◽  
Post Intervention ◽  
Cohen’S D ◽  
Cohen's D

Summary Pneumoconiosis is a common occupational lung disease among construction workers. Educational interventions targeting specific ethnic groups of construction workers are of benefit for pneumoconiosis prevention. The aim of this study was to develop a multimedia educational intervention for pneumoconiosis prevention for South Asian construction workers, and to evaluate its feasibility, acceptability and effectiveness in increasing knowledge of pneumoconiosis, modifying beliefs about pneumoconiosis, and enhancing intention to implement measures for its prevention among the workers. This evaluation was performed using the Reach-Effectiveness-Adoption-Implementation-Maintenance framework. A one-group design was adopted and intervention mapping was used to guide the process of intervention development, while the Health Belief Model guided the development of intervention content. The intervention was delivered at construction sites, ethnic minority associations and South Asian community centres. Data were collected via surveys completed at pre-intervention, post-intervention and 3 months after the intervention. A total of 1002 South Asian construction workers participated in the intervention. The participants reported a moderate-to-large increase in knowledge, perceived susceptibility, perceived severity, perceived benefits, cues to action and self-efficacy (Cohen’s d: 0.37–0.89), a small reduction in perceived barriers (Cohen’s d = 0.12) and a moderate improvement in attitudes and intention to practice (Cohen’s d: 0.45, 0.51) at post-intervention. A follow-up survey of 121 participants found that the implementation of preventive measures appeared to increase. Overall, the findings demonstrate that the implementation of a culturally adapted multimedia educational intervention could be an effective approach to improving knowledge, self-efficacy and intention regarding pneumoconiosis prevention among South Asian construction workers.

scholarly journals Multi-Country Scale Assessment of Available Energy Recovery Potential Using Micro-Hydropower in Drinking, Pressurised Irrigation and Wastewater Networks, Covering Part of the EU

Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 899
Author(s):  
Djordje Mitrovic ◽  
Miguel Crespo Chacón ◽  
Aida Mérida García ◽  
Jorge García Morillo ◽  
Juan Antonio Rodríguez Diaz ◽  
...  
Keyword(s):  
Drinking Water ◽  
Northern Ireland ◽  
Energy Recovery ◽  
Large Scale ◽  
Significant Proportion ◽  
Value Added ◽  
Cost Effective ◽  
Net Energy ◽  
Water Networks ◽  
Scale Assessment

Studies have shown micro-hydropower (MHP) opportunities for energy recovery and CO2 reductions in the water sector. This paper conducts a large-scale assessment of this potential using a dataset amassed across six EU countries (Ireland, Northern Ireland, Scotland, Wales, Spain, and Portugal) for the drinking water, irrigation, and wastewater sectors. Extrapolating the collected data, the total annual MHP potential was estimated between 482.3 and 821.6 GWh, depending on the assumptions, divided among Ireland (15.5–32.2 GWh), Scotland (17.8–139.7 GWh), Northern Ireland (5.9–8.2 GWh), Wales (10.2–8.1 GWh), Spain (375.3–539.9 GWh), and Portugal (57.6–93.5 GWh) and distributed across the drinking water (43–67%), irrigation (51–30%), and wastewater (6–3%) sectors. The findings demonstrated reductions in energy consumption in water networks between 1.7 and 13.0%. Forty-five percent of the energy estimated from the analysed sites was associated with just 3% of their number, having a power output capacity >15 kW. This demonstrated that a significant proportion of energy could be exploited at a small number of sites, with a valuable contribution to net energy efficiency gains and CO2 emission reductions. This also demonstrates cost-effective, value-added, multi-country benefits to policy makers, establishing the case to incentivise MHP in water networks to help achieve the desired CO2 emissions reductions targets.

scholarly journals Modeling Fused Filament Fabrication using Artificial Neural Networks

2021 ◽  
Author(s):  
Paul Oehlmann ◽  
Paul Osswald ◽  
Juan Camilo Blanco ◽  
Martin Friedrich ◽  
Dominik Rietzel ◽  
...  
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Cost Effective ◽  
Print Quality ◽  
Ann Model ◽  
Production Environment ◽  
Fused Filament Fabrication ◽  
Artificial Neural ◽  
Using Data ◽  
Artificial Neural Network Ann

AbstractWith industries pushing towards digitalized production, adaption to expectations and increasing requirements for modern applications, has brought additive manufacturing (AM) to the forefront of Industry 4.0. In fact, AM is a main accelerator for digital production with its possibilities in structural design, such as topology optimization, production flexibility, customization, product development, to name a few. Fused Filament Fabrication (FFF) is a widespread and practical tool for rapid prototyping that also demonstrates the importance of AM technologies through its accessibility to the general public by creating cost effective desktop solutions. An increasing integration of systems in an intelligent production environment also enables the generation of large-scale data to be used for process monitoring and process control. Deep learning as a form of artificial intelligence (AI) and more specifically, a method of machine learning (ML) is ideal for handling big data. This study uses a trained artificial neural network (ANN) model as a digital shadow to predict the force within the nozzle of an FFF printer using filament speed and nozzle temperatures as input data. After the ANN model was tested using data from a theoretical model it was implemented to predict the behavior using real-time printer data. For this purpose, an FFF printer was equipped with sensors that collect real time printer data during the printing process. The ANN model reflected the kinematics of melting and flow predicted by models currently available for various speeds of printing. The model allows for a deeper understanding of the influencing process parameters which ultimately results in the determination of the optimum combination of process speed and print quality.

scholarly journals Anti-meningococcal B vaccination in Italian adolescents: a cost-effective health opportunity

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
D Panatto ◽  
P Landa ◽  
D Amicizia ◽  
P L Lai ◽  
E Lecini ◽  
...  
Keyword(s):  
Large Scale ◽  
Public Health Problem ◽  
Vaccination Strategy ◽  
Cost Effective ◽  
Dose Schedule ◽  
Developed Countries ◽  
Invasive Disease ◽  
International Setting ◽  
The Impact

Abstract Background Invasive disease due to Neisseria meningitidis (Nm) is a serious public health problem even in developed countries, owing to its high lethality rate (8-15%) and the invalidating sequelae suffered by many (up to 60%) survivors. As the microorganism is transmitted via the airborne route, the only available weapon in the fight against Nm invasive disease is vaccination. Our aim was to carry out an HTA to evaluate the costs and benefits of anti-meningococcal B (MenB) vaccination with Trumenba® in adolescents in Italy, while also considering the impact of this new vaccination strategy on organizational and ethics aspects. Methods A lifetime Markov model was developed. MenB vaccination with the two-dose schedule of Trumenba® in adolescents was compared with 'non-vaccination'. Two perspectives were considered: the National Health Service (NHS) and society. Three disease phases were defined: acute, post-acute and long-term. Epidemiological, economic and health utilities data were taken from Italian and international literature. The analysis was conducted by means of Microsoft Excel 2010®. Results Our study indicated that vaccinating adolescents (11th year of life) with Trumenba® was cost-effective with an ICER = € 7,912/QALY from the NHS perspective and € 7,758/QALY from the perspective of society. Vaccinating adolescents reduces the number of cases of disease due to meningococcus B in one of the periods of highest incidence of the disease, resulting in significant economic and health savings. Conclusions This is the first study to evaluate the overall impact of free MenB vaccination in adolescents both in Italy and in the international setting. Although cases of invasive disease due to meningococcus B are few, if the overall impact of the disease is adequately considered, it becomes clear that including anti-meningococcal B vaccination into the immunization program for adolescents is strongly recommended from the health and economic standpoints. Key messages Free, large-scale MenB vaccination is key to strengthening the global fight against invasive meningococcal disease. Anti-meningococcal B vaccination in adolescents is a cost-effective health opportunity.

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