Evaluation Of Impact Research Articles

A Dynamic Impact Evaluation of the High-Quality Development of China’s Construction Industry Using the Panel Vector Autoregressive Model

A Dynamic Impact Evaluation of the High-Quality Development of China’s Construction Industry Using the Panel Vector Autoregressive Model

Sustainability and Quality of Life in Marginalized Areas: An Impact Evaluation of a Community Center in Santa Fe, Mexico

The aim of this paper is to present the results of an impact evaluation of a community center in health, capacity building, and digital access, which form an approximation of quality of life, in the population of Santa Fe town in Mexico City, from 2022 to 2024. The methodology is quantitative, using an impact index and the differences in differences (DD) technique. The data were obtained from primary sources with surveys undertaken via questionnaires. The center is operated by a private university and funded by private firms. The results show a positive impact of 0.287127 out of 1 on the weighted impact index, which allows us to consider this program successful in improving the quality of life of the target population. Through impact evaluation, the effectiveness of interventions and opportunities for improvement are identified, fostering collaboration among local actors, including community members, state-run public programs, and community centers. This collaborative effort improves the quality of life, creating a sustainable community wherein each actor addresses specific needs. Impact evaluation plays a crucial role in measuring sustainability because it is a continuous improvement process that, when combined with other actions, enhances the community’s overall well-being.

Review of indium, gallium, and germanium as emerging contaminants: occurrence, speciation and evaluation of the potential environmental impact

Review of indium, gallium, and germanium as emerging contaminants: occurrence, speciation and evaluation of the potential environmental impact

Food waste reduction and its environmental consequences: a quasi-experimental study in a campus canteen

BackgroundFood waste is the third-largest contributor to greenhouse gas emissions, which has severe environmental and economic effects. This study presents a two-level intervention to estimate the quantity and environmental consequences of food waste at a campus canteen, offering innovative solutions to reduce food waste and its environmental footprint.MethodologyThis study involved 300 students and consisted of three main stages: initial food waste assessment, environmental and economic impact evaluation, and qualitative exploration of the causes of food waste through interviews with students. The assessment included direct measures and weighing of leftover food, and the environmental and economic impact was calculated. A two-level intervention was implemented for students and staff, and a re-assessment of food waste was conducted to evaluate the intervention’s impact. Statistical analysis was performed using SPSS.ResultsThe study monitored 26 meals, finding that the total amount of food waste in the university canteens was (mean = 60.65 g/person), and the intervention reduced food waste by 16.35% per meal (50.73 g/person). Moreover, after the intervention, the amount of food waste costs and total water waste were reduced by 30.14% and 16.66%, respectively. Grey water was reduced significantly by 12.5% (p = 0.033). Interviews with students identified low-quality meals, unpleasant taste, large portions, and a limited menu as the main causes of food waste.ConclusionsIt is possible to tackle food waste effectively with educational intervention, decreasing portion size, and improving the quality and variety of food.

Digital Leadership Capability in Muhammadiyah Charity Units A Literature Review

This research explores digital leadership capabilities in Muhammadiyah business charity units through a literature review. In the midst of rapid digital transformation, the ability to adopt and implement digital technology has become crucial for nonprofit organizations, including Muhammadiyah. Using a systematic literature review methodology, this study identifies and analyzes previous studies on digital leadership in the context of nonprofit and religious organizations. The results of this review demonstrate that digital leadership capabilities in Muhammadiyah charity units are influenced by factors such as technological skills, strategic vision, organizational support, and culture of innovation. This research also found that although several studies have discussed digital leadership, a significant gap remains in the literature regarding specific implementations in the context of Muhammadiyah. Based on these findings, this article provides practical recommendations for developing digital leadership capabilities that improve the effectiveness and operational efficiency of Muhammadiyah charity units. In addition, this study suggests directions for further research that focus on implementation strategies and impact evaluation of digital leadership in the nonprofit sector.

A realist impact evaluation of a tool to strengthen equity in local government policy-making

BackgroundLocal governments have a critical role to play in addressing health inequities. Health equity impact assessments are recommended to help governments apply an equity lens to the development and implementation of policies and programs. Despite evidence of equity-positive benefits of such tools, adoption remains limited, prompting calls for evaluations to assess their impact and identify factors that will promote uptake across various contexts.MethodsWe conducted a mixed method study to evaluate the impact of an equity impact assessment (EIA) tool and process on policies and organisational capacity in a local government in Victoria, Australia, and identify factors that influenced this impact. We analysed 33 documents related to 18 EIAs, and conducted surveys (n = 40) and in-depth interviews (n = 17) with staff involved in EIAs.ResultsAlmost all (17 of 18) EIAs resulted in equity-positive changes to policies and programs, most frequently addressing individual-level factors, such as making community communications and consultations more accessible to under-represented or under-served groups. Structural-level recommendations from one EIA, such as increasing diversity in decision-making panels, were found to impact both the current policy and a broad range of future, related projects and services. Improvements in equity-centric organisational culture and capacity (including staff awareness, skills and confidence) and increased engagement with under-represented communities were also reported. Factors perceived to influence the impact of EIA’s related to organisational commitment and capacity to prioritise equity, process-level factors related to the type and timing of EIAs, and extent of implementation support.ConclusionOur study supports wider uptake of health equity impact assessments in local government policies and programs. Legislation, leadership and resources from upper-tiers of government can help increase the adoption of equity tools to reduce disparities in population health.

The Greening of One Health: Plants, Pathogens, and the Environment.

One Health has an aspirational goal of ensuring the health of humans, animals, plants, and the environment through transdisciplinary, collaborative research. At its essence, One Health addresses the human clash with Nature by formulating strategies to repair and restore a (globally) perturbed ecosystem. A more nuanced evaluation of humankind's impact on the environment (Nature, Earth, Gaia) would fully intercalate plants, plant pathogens, and beneficial plant microbes into One Health. Here, several examples point out how plants and plant microbes are keystones of One Health. Meaningful cross-pollination between plant, animal, and human health practitioners can drive discovery and application of innovative tools to address the many complex problems within the One Health framework.

Cost, Cost-effectiveness and Survival Impact Assessment for A Better Management of Colorectal Cancer Patients: A Single Centre Comprehensive Analysis.

The world healthcare systems are currently challenged by the accumulating burden of colorectal cancer (CRC), and cancer registries represent an important segment for prevention and developing management plans, being useful in providing data regarding incidence, mortality, survival, exposure to carcinogens, lifestyle. Retrospective data from CRC patients in Romania was used to assess survival impact, costs, and cost-effectiveness considering three crucial aspects: pharmacology, chemo-/radio-therapy, and hospitalization for care and management of these patients. 423 CRC patients from the Institutional Cancer Registry of the Prof. Dr. Ion Chiricuta Institute of Oncology in Cluj-Napoca, Romania were included in the cost analysis. For the assessment of cost efficiency of the primary treatment strategy, we collected data regarding direct medical costs associated with surgery, radiotherapy and medication, as well as the afferent day or continuous hospitalization, for each patient. For the cost-effectiveness analysis we used the method of estimation of incremental cost-effectiveness ratio. No compelling differences regarding survival time were observed in different therapeutic options per CRC stage. Substantial differences in cost effectiveness among therapeutic options in the same stage of several thousand Euros in stages I-III, while for stage IV, the ICER was more than 100,000 Euros per life saved. Systematic evaluation of costs, cost-effectiveness, and survival impact, helps healthcare systems can make informed decisions to improve the management of colorectal cancer patients, optimizing outcomes while minimizing financial burden.

Academia's Role in Climate Action: Enhancing Awareness and Reducing Environmental Impact of Academic Events

A clean environment is vital for both population health and the well-being of our planet (Brusseau et al., 2019). In-person gatherings, like academic conferences, significantly contribute to carbon emissions that harm the environment, highlighting the importance of finding opportunities to reduce these emissions (Tao et al., 2021). Cognizant of the environmental cost of our annual national in-person research team gathering, our team sought to minimize the environmental impact of our 2023 gathering while raising awareness among team members. Our actions included using reusable tableware, composting food waste, and hosting an education session by the local environment office. Not only did our efforts increase awareness among gathering attendees about the importance of considering environmental impact reduction opportunities in their work, but they also catalyzed similar efforts at two national conferences. Our team took the lead in developing an evaluation of the environmental impact of each national conference and surveyed over 150 conference attendees. We collected demographic information, travel mode to the conference, and attitudes about environmental harms via a digital conference application. We also observed environmental actions implemented by event organizers and venue hosts. A carbon emission score and frequency distributions of attitudes surrounding the environment were calculated. Where possible, a food waste assessment was conducted. Findings showed that event organizers made efforts to minimize the environmental impact of their event by selecting a venue whose management was interested in collaborating; by encouraging attendees to carpool and use reusable water bottles; by serving plant-based meals, and by minimizing single-use products. Findings also revealed that most conference attendees consider it important to reduce the environmental impact of their professional lives. Given the value of face-to-face interaction in facilitating knowledge exchange (Chan et al., 2023), it is important that organizers continue to make efforts to reduce carbon emissions when planning events.

The Use of Contribution Analysis in Evaluating Health Interventions: A Scoping Review.

Contribution Analysis (CA) is a promising theory-based evaluation approach for complex interventions, yet its application in health interventions remains largely unexplored. To bridge this gap, we conducted a scoping review to examine the extent of such applications and the methodologies, strengths, and limitations of this approach in health programming. Our comprehensive search strategy was developed and used in 15 databases to identify peer-reviewed articles from 1999 to 2023 that focused on using CA to evaluate health interventions. We then implemented rigorous double- and triple-screening processes for abstracts and full-text papers, respectively. Data were extracted and narratively summarized. Our review found seven relevant studies, which showed that CA has been employed in health promotion programs, health policies, and targeted health issues such as nutrition, cardiovascular disease, substance misuse, and suicide prevention. The studies identified strengths of using CA, including its flexible impact evaluation approach, capacity to inform decision-making, and potential to enhance understanding of health programs and policies. However, challenges such as how to determine suitable evidence levels and how to best manage resource intensity were also identified. The limited number of studies indicates that CA is still a novel approach, whereas the variation in the reporting of the studies suggests that this approach could benefit from more standardized methods and detailed stakeholder engagement strategies.

The role of utilizing artificial intelligence and renewable energy in reaching sustainable development goals

Many nations want to use only renewable energy by 2050. Given the recent rapid expansion in RE use in the global energy mix and its progressive impact on the global energy sector, the evaluation and analysis of Renewable Energy's impact on achieving sustainable development goals is insufficient. Wind energy could be renewable. For smart grid supply-and-demand issues, wind power forecasting is critical. One of the biggest challenges of wind energy is its significant fluctuation and intermittent nature, which makes forecasting difficult. This study's goal is to develop data-driven models to predict wind speed and power. This paper uses Machine Learning (ML) and Deep Learning (DL) to improve a wind speed prediction and recommendation system for wind turbine power production using site climatological data. This system optimizes turbine use by selecting the right number of turbines to operate solely based on the required energy, which is related to wind power and speed, and recommends the best power station location to determine the best turbine run time. The Proposed Enhanced Recommendation System (PERS) includes the Wind Speed Prediction Module (WSPM), Wind Speed vs. Power Consumption Calculation (WSPC), and Recommendation Module (RM). Test results showed the suggested method works in run time. The XGBoost or Random Forest regressor predicted 15-day power output with 94 % accuracy and 6 % mean average percentage error.

Comparative Evaluation of Impact of In-office Bleaching Agents on Shade and Gloss of Permanent Teeth -An In-vitro Study

Comparative Evaluation of Impact of In-office Bleaching Agents on Shade and Gloss of Permanent Teeth -An In-vitro Study

The level, source, and health outcome of PM2.5 exposure in Southwest Iran

IntroductionDusty storms considerably increase airborne particles in dry and semi-dry locations, such as deserts with no plants and strong winds. Therefore, the environment and people are affected severely. Ahvaz, an important metropolis, is often polluted by neighboring nations. The present research studies the concentration, source, and calculation of these particles' effects. Material and methodFor health consequences evaluation, the WHO suggests the Air Quality Health Impact Evaluation Programmed (Air Q 2.2.3). Khuzestan Meteorology Office recorded particulate matter measurements on both hazy and clear days. The data was gathered voluminously in 2023. ResultAccording to data collected from Khuzestan province's meteorology documents, 49 days in 2023 had very unsafe air quality. The most polluted months in terms of the number of dust days are as follows: January (14 days) > December (12 days) > November (11 days) > August (5 days) > May (3 days) > September (2 days) > March, February, June, July, October (1 day) > April (0 days). HYSPLIT maps indicate that Iran causes dust in March, the Great Arabian Desert in December and August, Iraq in April, September, and October, Kuwait in January, Turkey in February and July, Egypt in June and May, and Oman in November. ConclusionThe meteorology database reveals that Ahvaz is highly polluted and that 49 days had unacceptable dust levels. Based on assessments obtained employing the Air Q+ programs, the people of Ahvaz encountered heart disease, respiratory disease, and stroke caused by their exposure to PM2.5 particulates.

Effectiveness of malaria chemoprevention in the first two years of life in Cameroon and Côte d’Ivoire compared to standard of care: study protocol for a population-based prospective cohort impact evaluation study

BackgroundPerennial malaria chemoprevention (PMC) is a chemoprevention strategy endorsed by the World Health Organization (WHO) and is increasingly being adopted by National Malaria Programmes. PMC aims to reduce morbidity and mortality caused by malaria and anaemia in in young children through provision of antimalarial drugs at routine contact points with the local health system. This study aims to evaluate the impact of the programmatically-implemented country-tailored PMC programmes targeting children up to two years of age using sulfadoxine-pyrimethamine (SP) on the incidence of malaria and anaemia in children in Cameroon and Côte d’Ivoire.MethodsWe will assess the impact of PMC using passive and active monitoring of a prospective observational cohort of children up to 36 months of age at recruitment in selected study sites in Cameroon and Côte d’Ivoire. The primary and secondary outcomes include malaria, anaemia and malnutrition incidence. We will also conduct a time-series analysis of passively detected malaria and anaemia cases comparing the periods before and after PMC introduction. This study is powered to detect a 30% and 40% reduction of malaria incidence compared to the standard of care in Cameroon and Côte d’Ivoire, respectively.DiscussionThis multi-country study aims to provide evidence of the effectiveness of PMC targeting children in the first two years of life on malaria and anaemia and will provide important information to inform optimal operationalization and evaluation of this strategy.Trial RegistrationCameroon - NCT05889052; Côte d’Ivoire - NCT05856357.

The Value of Variation: Embracing Heterogeneity in Intervention Research

If our goal in education research is to produce knowledge that is useful and used, we need to design impact evaluations that value understanding variation as much as understanding average impact. The context in which an intervention is implemented and the characteristics of participants are integral components of the intervention, and we need to study those components just as seriously as we do the intervention itself. Better understanding variation requires building a framework for what contextual information is likely to predict effectiveness, so researchers know what data to collect; measuring inputs into education systems, not just outputs; and increasing collaboration across disciplines and modes of inquiry. It will also require creating more space for practitioners to participate equitably in research so their insights can inform our research questions and findings. Most challenging, researchers will need to let go of some old ways of working in service of producing research that better serves the field of education.

Long-term evaluation of psychosocial impact and stuttering severity after intensive stuttering therapy.

The purpose of this study was to assess the long-term stability of objective and subjective psychosocial improvements and fluency more than 10 years after participation in an intensive stuttering therapy camp. Ten former participants in intensive stuttering therapy (IST; mean age at time of intervention 14; 2 years) participated in this study. Outcomes of the IST at that time were assessed with the Stuttering Severity Instrument (SSI-3; Riley, 1994) and a questionnaire to measure the psychosocial impact of stuttering. A semi-structured video call and a general questionnaire for the long-term evaluation were used to gauge the participants' perceptions of the IST. These follow-up data were compared to the therapy outcomes reported by Cook (2011, 2013). Therapy effects on the severity of stuttering and psychosocial impact were stable over the follow-up period of more than 10 years. Moreover, scores for psychosocial impact and severity of stuttering further decreased from the end of the IST to the long-term evaluation. The intensive time and the periodically offered follow-up treatments were described as particularly positive by the participants. Intensive stuttering therapy in childhood or adolescence can have a long-term positive effect on both internal and external stuttering symptoms.

No Money No Time Culinary Nutrition Website eHealth Challenge: A Pre-Post Evaluation of Impact on Diet Quality, Food Expenditure, and Engagement.

No Money No Time (NMNT) is a culinary nutrition website designed to optimize diet quality. The primary aim was to evaluate the impact of an online targeted nutrition challenge email campaign that encouraged engagement with NMNT and goal setting to improve diet quality and weekly food expenditure. A secondary aim was to assess NMNT engagement. Australian adults ≥18 years were recruited to the eHealth nutrition challenge delivered via weekly emails. Diet quality was assessed using the Healthy Eating Quiz (HEQ) diet quality tool. Engagement was assessed using email open and click-through rates. Intention-to-treat (ITT) analysis was conducted using mixed effects linear regression. Of 481 adults (49.7 ± 13.9 years, 84% female) who enrolled 79 (16%) completed the challenge. ITT results indicated statistically significant 6-week increases in diet quality score (+3.8 points p ≤ 0.001, d = 0.58) with sub-scale improvements in vegetables (+0.9 points, p = 0.01, d = 0.32), fruit (+1.2 points, p ≤ 0.001, d = 0.55), and dairy (+0.9 points, p ≤ 0.001, d = 0.58). There were significant post-challenge reductions in household spending on takeaway/snacks/coffee of AUD 8.9 per week (p = 0.01, d = 0.29), body weight reduction (-0.6 kg, p = 0.03, d = 0.26), and BMI (-0.2 kg/m2p = 0.02, d = 0.28). The email open rate remained constant at around 67% (56% to 75%), with an average click-through rate of 18% (7.1% to 37.9%). The eHealth nutrition challenge significantly improved diet quality while reducing BMI and money spent on discretionary foods. Strategies to scale the challenge should be tested as an innovative population strategy for improving diet quality, health indicators, and managing household food budgets.

P10-08 Evaluation of real-life PFAS mixture toxicity and impact on 3D placenta spheroid model

P10-08 Evaluation of real-life PFAS mixture toxicity and impact on 3D placenta spheroid model

The use of orthogonal analytical approaches to profile lipid nanoparticle physicochemical attributes

Abstract Lipid nanoparticles have become a major disruptor within the drug delivery field of complex RNA molecules. The wide applicability of prototype nanomedicines have the potential to fill clinical requirements against current untreatable diseases. The uptake and implementation of analytical technologies to evaluate these prototype nanomedicines have not experienced similar growth rates hindering the translation of LNPs. Here, we evaluate a model RNA-LNP formulation with a selection of routine, and high-resolution orthogonal analytical techniques across studies on manufacturing process parameter impact and formulation stability evaluation under refrigerated and ultra-low temperatures. We analysed model cationic RNA complexed lipid nanoparticle formulation through process impact on formulation critical quality attributes, short term refrigerated stability evaluation, and frozen storage stability using zetasizer dynamic light scattering and nanoparticle tracking analysis. We also evaluated freeze/thaw induced stress on LNP formulation using high resolution field-flow fractionation. Statistical analysis and correlations between techniques were drawn to further enhance our understanding of LNP formulation design, and physiochemical attributes to facilitate LNP formulation clinical translation.

Do Generative Artificial Intelligence Company Strategies of ‘Moving Fast and Breaking Things’ in Civil Society Cancel Their Social Licence to Operate? A Nurse’s Evaluation of Chatbot Impacts

A rapid expansion of the computer technology industry, particularly in the field of artificial intelligence, has ignited a global concern that warrants our immediate action. As nurses, our professional values frameworks compel us to protect public health and address national and global health issues. When industry activities adversely affect the social wellbeing of civil society and social institutions, it is important to evaluate them against their industry’s ‘social license to operate, which is a measure of public trust, credibility, and the legitimacy of their industrial and corporate citizenship status. The central question is, do computer technology companies continue to have a social license to operate in civil society? Nurses are encouraged to evaluate the computer technology industry’s recent ‘generative artificial intelligence’ chatbot activities against its tacit undertaking to be good corporate citizens in return for social acceptance of their operations and behaviour. An evidence-based overview of chatbot impacts on societies, environmental sustainability and human rights provide a basis for evaluation. Basic computer technology terminology and relevant concepts are explained. This article is a direct call to action for clinical nurses and those involved in research, education, management, and policy. We have a duty to critically assess the claims made by chatbot technology vendors in both practice and social contexts. If these vendors integrate chatbot technologies with existing machine learning used in nursing and healthcare technologies it could result in detrimental effects beyond user control. By influencing decisions on technology adoption, we can ensure the implementation of safeguards, protect patient safety and social well-being, and uphold the integrity of nursing values. A closing discussion of impacts of computer industry trust deficits on healthcare and research reflects the author’s concerns and conclusions about the central question. Readers may draw other conclusions and perhaps use the issues and evidence presented here to stimulate further investigations.