Effective Measures Research Articles

Targeted hand hygiene audits and training: an effective tool for improvement in hand hygiene compliance

Background: Hand hygiene (HH) is the simplest, but most effective infection prevention and control measure. This study was aimed to determine HH compliance among health care workers (HCWs) in a cancer hospital and the impact of targeted and phased training over changes in HH compliance and determination of Hawthorne effect among HCWs. Methods: Prospective observational study conducted in two phases by HH trained auditor (Overt observer) and ICN (Covert observer) performing 30 minutes HH audit at ICU, haemato-lymphoid (HL) ward and paediatric ward to observe the pattern of HH compliance among HCW for HH moments and its impact over Hawthorne effect for HH compliance. Results: Highest compliance for HH was observed at HL ward (59.34%) in first phase and at ICU (70.08%) in second phase. Gradual and significant improvement in HH compliance was observed for ICU (52.24% to 70.08%), HL ward (59.34% to 68.48%) and paediatric ward (43.42% to 53.46%). Profession specific Hawthorne effect was observed for nurses with higher compliance in covert observation in first phase and for doctors with higher compliance in overt observation in second phase of the study. Conclusions: Regular targeted HH audit with motivational training is the better influential tool for improving HH compliance. Regular audits also improve efficiency of auditor for effective HH compliance supervision. Decentralization and availability of workstation specific HH auditor is the most of effective cost saving approach for achieving significant progressive improvement in HH adherence.

Analysis of cold island effect in city parks from the perspectives of maximum and cumulative values – a case study of Xi'an City

The continuous process of urbanization and climate change has led to severe urban heat island (UHI) effects. Constructing parks with cooling capabilities is considered an effective measure to alleviate UHI effects. However, most studies only quantify the cooling effect from a maximum value perspective, lacking a measure of temperature diffusion in space. This study combines the perspectives of maximum value and accumulation to define a cold island index, quantifying the cooling effect of 40 urban parks in the main urban area of Xi'an city. The results show that, on average, urban parks can reduce the surrounding environment by approximately 2.3℃, with a cooling range of about 127.1ha, which is three times the park area. Different factors drive the measurement of the cooling effect using different cold island indexes, but all indexes are highly correlated with green space area. There are significant differences in the cooling effect among different types of parks, and overall, ecological parks have the best cooling effect. The directional spread of internal cold islands in parks is most related to park shape, while external spread is related to surrounding green spaces. The research results have practical value in the construction of parks with cooling effects and the sustainable development of cities in urban planning processes..

Effects of Face Mask Mandates on COVID-19 Transmission in 51 Countries: Retrospective Event Study.

The question of the utility of face masks in preventing acute respiratory infections has received renewed attention during the COVID-19 pandemic. However, given the inconclusive evidence from existing randomized controlled trials, evidence based on real-world data with high external validity is missing. To add real-world evidence, this study aims to examine whether mask mandates in 51 countries and mask recommendations in 10 countries increased self-reported face mask use and reduced SARS-CoV-2 reproduction numbers and COVID-19 case growth rates. We applied an event study approach to data pooled from four sources: (1) country-level information on self-reported mask use was obtained from the COVID-19 Trends and Impact Survey, (2) data from the Oxford COVID-19 Government Response Tracker provided information on face mask mandates and recommendations and any other nonpharmacological interventions implemented, (3) mobility indicators from Google's Community Mobility Reports were also included, and (4) SARS-CoV-2 reproduction numbers and COVID-19 case growth rates were retrieved from the Our World in Data-COVID-19 data set. Mandates increased mask use by 8.81 percentage points (P=.006) on average, and SARS-CoV-2 reproduction numbers declined on average by -0.31 units (P=.008). Although no significant average effect of mask mandates was observed for growth rates of COVID-19 cases (-0.98 percentage points; P=.56), the results indicate incremental effects on days 26 (-1.76 percentage points; P=.04), 27 (-1.89 percentage points; P=.05), 29 (-1.78 percentage points; P=.04), and 30 (-2.14 percentage points; P=.02) after mandate implementation. For self-reported face mask use and reproduction numbers, incremental effects are seen 6 and 13 days after mandate implementation. Both incremental effects persist for >30 days. Furthermore, mask recommendations increased self-reported mask use on average (5.84 percentage points; P<.001). However, there were no effects of recommendations on SARS-CoV-2 reproduction numbers or COVID-19 case growth rates (-0.06 units; P=.70 and -2.45 percentage points; P=.59). Single incremental effects on self-reported mask use were observed on days 11 (3.96 percentage points; P=.04), 13 (3.77 percentage points; P=.04) and 25 to 27 (4.20 percentage points; P=.048 and 5.91 percentage points; P=.01) after recommendation. Recommendations also affected reproduction numbers on days 0 (-0.07 units; P=.03) and 1 (-0.07 units; P=.03) and between days 21 (-0.09 units; P=.04) and 28 (-0.11 units; P=.05) and case growth rates between days 1 and 4 (-1.60 percentage points; P=.03 and -2.19 percentage points; P=.03) and on day 23 (-2.83 percentage points; P=.05) after publication. Contrary to recommendations, mask mandates can be used as an effective measure to reduce SARS-CoV-2 reproduction numbers. However, mandates alone are not sufficient to reduce growth rates of COVID-19 cases. Our study adds external validity to the existing randomized controlled trials on the effectiveness of face masks to reduce the spread of SARS-CoV-2.

Towards Climate Resilience: A Comprehensive Study on Eco-Friendly Alternatives for Single-Use Plastic Sheets in Somalia

This research critically examines the recent policy intervention by the Somali government, focusing on the prohibition of single-use plastic sheets. The primary aim is to safeguard the environment and enhance public safety, aligning with global efforts to address plastic pollution and promote sustainable practices. The government&amp;apos;s proactive approach urges manufacturers to explore alternative materials that prioritize community well-being and minimize environmental impact. This research, in response to the government&amp;apos;s call for action, seeks to contribute comprehensive strategies that complement existing efforts. One key facet of the proposed initiatives involves research and development to identify and promote eco-friendly substitutes for single-use plastic sheets. This includes investigating materials with minimal environmental impact throughout their lifecycle. By encouraging innovation in materials science, the study aims to support the government&amp;apos;s commitment to sustainable practices and reduce dependence on harmful substances. In addition to material innovation, the research emphasizes the importance of awareness campaigns to educate the public about the environmental and social implications of plastic usage. Community awareness is crucial for fostering a collective understanding of the need for change and garnering support for the government&amp;apos;s policies. This aspect of the study aims to develop targeted communication strategies to engage diverse segments of the population and promote a culture of responsible consumption. Furthermore, the research advocates for the implementation of recycling programs to manage existing plastic waste effectively. Developing robust waste management infrastructure is essential for ensuring that discarded plastic materials are recycled efficiently, reducing their impact on the environment. Recognizing the economic aspects of the transition, the research proposes incentives for businesses that adopt sustainable materials. These incentives can include financial support, tax breaks, or preferential treatment in government procurement processes. By aligning economic interests with ecological responsibility, the study aims to facilitate a smooth transition and encourage widespread adoption of sustainable practices. Through a comprehensive analysis of various initiatives, the research aims to provide actionable insights for policymakers. Recommendations will be formulated to guide the government in implementing effective measures that align with its commitment to environmental sustainability and the overall safety of the Somali population. In conclusion, this research aspires to contribute practical strategies for Somalia, balancing economic interests with ecological responsibility. By fostering a harmonious coexistence between human activities and the environment, the study aims to support the government&amp;apos;s vision of a resilient and sustainable future.

Improving detection of oral lesions: Eye tracking insights from a randomized controlled trial comparing standardized to conventional approach.

Early detection of oral cancer (OC) or its precursors is the most effective measure to improve outcome. The reasons for missing them on conventional oral examination (COE) or possible countermeasures are still unclear. In this randomized controlled trial, we investigated the effects of standardized oral examination (SOE) compared to COE. 49 dentists, specialists, and dental students wearing an eye tracker had to detect 10 simulated oral lesions drawn into a volunteer's oral cavity. SOE had a higher detection rate at 85.4% sensitivity compared to 78.8% in the control (p = 0.017) due to higher completeness (p < 0.001). Detection rate correlated with examination duration (p = 0.002). A standardized approach can improve systematics and thereby detection rates in oral examinations. It should take at least 5 min. Perceptual and cognitive errors and improper technique cause oral lesions to be missed. Its wide implementation could be an additional strategy to enhance early detection of OC.

Securitising information in European borders: how can democracies balance openness with curtailing Russian malign information influence?

ABSTRACT The EU views malign information influence (MII) as a threat, and this has been enhanced with the Russian invasion of Ukraine resulting in a ban on several Russian media. This article adds to research on the dilemmas of democracies in combatting MII, by consulting the public on whether the ban was a proportionate and effective measure and if it stained the EU’s moral authority. Combining focus groups with a survey of the Swedish population, we found robust support for the ban – slightly stronger among women and increasing with age – and little backlash towards the EU. Respondents supported active countermeasures yet recognised problems with curtailing the free flow of information. The results indicate a need for refinement of an ideal-type model of countermeasures to MII (Hellman and Wagnsson 2017). We suggest a new category – “fortifying” – that highlights shared state/individual responsibility and the strengthening of citizens, authorities and the media. We conclude by suggesting a need for additional research on how to balance values of freedom and security and whether public support of bans relies on the precarious geopolitical situation resulting from the Russian invasion of Ukraine or if securitisation of information is an enduring trend.

Tobacco cessation: one of the most effective medical measures

Tobacco smoking is widespread in Germany. An increase in the number of teenagers and young adults that smoke has recently been acause for concern. The high prevalence in Germany is contrasted by inadequate preventive measures compared to international standards. Smoking behavior should always be inquired about and documented in the same way as vital signs. All smokers, regardless of the reason for contact and motivation, should receive short, low-threshold advice, e.g. using the ABC approach (ask, brief advice, cessation). In addition to repeated advice and referral to further services, the use of nicotine replacement or drug therapy is essential for the success of quitting. The combination of long- and short-acting nicotine replacement products doubles the success rate. Electronic nicotine delivery systems are not recommended for smoking cessation.

Research on the Scaling Mechanism and Countermeasures of Tight Sandstone Gas Reservoirs Based on Machine Learning

The Sulige gas field is a typical “three lows” (low permeability, low pressure, and low abundance) tight sandstone gas reservoir, with formation pressures often characterized by abnormally high or low pressures. The complex geological features of the reservoir further deviate from conventional understanding, impacting the effective implementation of wellbore blockage removal measures. Therefore, it is imperative to establish the wellbore blockage mechanism, prediction model, and effective prevention measures for the target area. In this study, based on field data, we first experimentally analyzed the water quality and types of blockage in the target area. Subsequently, utilizing a BP neural network model, we established a model for predicting the risk of wellbore blockage and analyzing mitigation measures in the target reservoir. The model’s prediction results, consistent with on-site actual results, demonstrate its reliability and accuracy. Experimental results show that the water quality in the target area is mainly a CaCl2 type, and the predominant scales produced are CaCO3 and BaSO4. Model calculations reveal that temperature, pressure, and ion concentration all influence scaling, with BaSO4 more influenced by pressure and CaCO3 more influenced by temperature. Under the combined effect of temperature, pressure, and ion concentration, different types of scales exhibit distinct trends in scaling quantity. Combining scaling quantity calculations with wellbore contraction ratios, it was found that when the temperature, pressure, and ion concentration are within a certain range, the wellbore contraction rate can be controlled below 4%. At this point, the wellbore scaling risk is minimal, and preventive measures against wellbore scaling can be achieved by adjusting production systems, considering practical production conditions. This study investigates the mechanism of scaling in wellbores of tight sandstone gas reservoirs and proposes a cost-effective scaling prevention measure. This approach can guide the prediction of scaling risks and the implementation of scaling prevention measures for gas wells in tight sandstone reservoirs.

Cigarette Prices and Smoking Experimentation among Zimbabwean children: a survival analysis of the 2014 Global Youth Tobacco Survey.

Zimbabwe has a smoking prevalence of 11.7% among the adult population (15 years and older). Thus, in the absence of effective tobacco-control measures, the economic burden of tobacco use will be aggravated, especially considering the increasing tobacco industry activity in the country. Increasing cigarette prices is one possible strategy to reduce tobacco consumption. This study seeks to examine the relationship between cigarette prices and smoking experimentation among children in Zimbabwe, thereby expanding the evidence base for the likely impact of excise taxes on cigarette demand in low-income and middle-income countries. A survival analysis using the Zimbabwe 2014 Global Youth Tobacco Survey data. A 10% increase in the price of cigarettes reduces the probability of experimenting with smoking by 9%. Also, children are more likely to experiment with smoking if they have a smoking brother or father who smokes, or see teachers who smoke. The likelihood of experimenting with smoking is higher among boys than girls and is positively associated with age. There is strong evidence that increasing excise taxes can play an effective role in discouraging children from experimenting with cigarette smoking. Considering the relatively low excise tax burden in Zimbabwe, the government should consider substantially increasing the excise tax burden. With the number of smokers in low- and middle-income countries expected to increase as the industry intensively expands its market by targeting the youth, increasing excise taxes will play a significant role in preventing children from initiating smoking and help those already using tobacco to quit. An increase in the excise tax increases the retail price of tobacco products, making them less affordable, and reduces the demand for them.

The Hydrogenation of CO2 to Free Formic Acid at Room Temperature over Pd/MgAl‐LDH

AbstractThe hydrogenation of CO2 to free formic acid is not only one of the most effective measures to make waste profitable, but also a significant and promising method for the hydrogen storage. Herein, we firstly achieved the hydrogenation of CO2 to free formic acid at room temperature over Pd/MgAl‐LDH and the TON of free HCOOH could reach 116. The Ni dopant could further improve the performance of the catalyst and the TON could increase to 134 over PdNi/MgAl‐LDH, which results from more electronic‐rich Pd centre. It was also found that the chemical composition of LDH could affect the catalytic performance due to different alkalinity.

Hydrophobic solution functions as a multifaceted mosquito repellent by enhancing chemical transfer, altering object tracking, and forming aversive memory

Developing a safe and potent repellent of mosquitoes applicable to human skins is an effective measure against the spread of mosquito-borne diseases. Recently, we have identified that hydrophobic solutions such as low viscosity polydimethylsiloxane (L-PDMS) spread on a human skin prevent mosquitoes from staying on and biting it. This is likely due to the ability of L-PDMS in wetting mosquito legs and exerting a capillary force from which the mosquitoes attempt to escape. Here we show three additional functions of L-PDMS that can contribute to repel Aedes albopictus, by combining physicochemical analysis and behavioral assays in both an arm cage and a virtual flight arena. First, L-PDMS, when mixed with topical repellents and applied on a human skin, enhances the effect of topical repellents in reducing mosquito bites by efficiently transferring them to mosquito legs upon contact. Second, L-PDMS applied to mosquito tarsi compromises visual object tracking during flight, exerting an influence outlasting the contact. Finally, L-PDMS applied to mosquito tarsi acts as an aversive reinforcer in associative learning, making mosquitoes avoid the conditioned odor. These results uncover a multifaceted potential of L-PDMS in altering a sequence of mosquito behaviors from biting a human skin, visual object tracking following takeoff, to the response to an odor linked with L-PDMS.

SCORING METHOD OF EVALUATING ROAD SAFETY AS PART OF MANAGEMENT SYSTEM

Known methods of assessing the level of traffic safety on highway sections are considered. Factors that can significantly affect forecasting accuracy have been identified. It is proposed to improve the existing method by introducing additional parameters, which were obtained as a result of the formalization of accident statistics at the places of traffic accidents concentration. The purpose of the work is to provide traffic safety specialists with an effective express method of evaluating the level of traffic safety with points directly on the road. The proposed scoring method of evaluating road safety also arouses interest due to the recent implementation in Ukraine of a road safety audit at the stage of operational maintenance, which is specifically designed to conduct an independent inspection of dangerous sections of highways and prescribe low-cost and effective measures to reduce accidents. This will help to make decisions in the road safety management system that will relate to effective measures.

Comparison of Land Cover Change Prediction Models: A Case Study in Kedungkandang District, Malang City

The infrastructure of Malang City is currently being directed towards the eastern and southeastern parts, Kedungkandang District. Infrastructure plays an important role in the aspect of land cover change, which raises the complexity of the emergence of urban forms and dynamics. This study compares three models, Artificial Neural Network (ANN), Logistic Regression (LR), and Multi-Criteria Evaluation (MCE), to predict changes in land cover in the Kedungkandang District using the Cellular Automata (CA) approach. The prediction results indicate that the ANN and MCE models have the highest overall Kappa values (prediction accuracy), while the ANN and LR models have the highest location-specific Kappa values. However, overall, the ANN model demonstrates the highest accuracy and performance among the other two models. This research makes a significant contribution to urban planning by highlighting the importance of using machine learning-based technology to predict land cover changes in Malang City, particularly in the Kedungkandang District. Stakeholders can leverage this technology to design more effective and sustainable infrastructure policies and implement preventive measures to mitigate the negative impacts of uncontrolled urban growth.

Does Mn2+-Mn2+ Spin-Exchange Interaction Involve Mn2+ Luminescence of Mn2+-Doped/Concentrated Materials?

Mn2+-doped luminescent quantum dots play a vital role in the fields of optoelectronic materials and devices. The presence of five unpaired d electrons in Mn2+ ions facilitates spin-exchange interactions, profoundly influencing the spin state of the exciton and thereby impacting the optical behaviors. However, the involvement and specific effects of spin-exchange interactions on optical properties of Mn2+ in insulating bulk phosphors remain a subject of controversy, attributed to the scarcity of solid evidence and the interference of various factors. In this Perspective, we delve into the fundamentals and recent advancements concerning the Mn2+-Mn2+ spin-exchange interaction in Mn2+ luminescent materials. The discussion encompasses various aspects, such as types of magnetic coupling, the coupling mechanism in optical ground state and excited state, as well as effective measures for verification. This Perspective underscores the existing knowledge gaps in Mn2+-doped bulk phosphors, highlighting significant opportunities for further exploration and advancement in both fundamental and applied research within this domain.

Impact of single and combined local air pollution mitigation measures in an urban environment

Urban air pollution is one of the most important environmental problems for human health and several strategies have been developed for its mitigation. The objective of this study is to assess the impact of single and combined mitigation measures on concentrations of air pollutants emitted by traffic at pedestrian level in the same urban environment. The effectiveness of different scenarios of green infrastructure (GI), the implementation of photocatalytic materials and traffic low emission zones (LEZ) are investigated, as well as several combinations of LEZ and GI. A wide set of scenarios is simulated through Computational Fluid Dynamics (CFD) modelling for two different wind directions (perpendicular (0°) and 45° wind directions). Wind flow for the BASE scenario without any measure implemented was previously evaluated using wind-tunnel measurements. Air pollutant concentrations for this scenario are compared with the results obtained from the different mitigation scenarios. Reduction of traffic emissions through LEZ is found to be the most effective single measure to improve local air quality. However, GI enhances the effects of LEZ, which makes the combination of LEZ + GI a very effective measure. The effectiveness of this combination depends on the GI layout, the intensity of emission reduction in the LEZ and the traffic diversion in streets surrounding the LEZ. These findings, in line with previous literature, suggest that the implementation of GI may increase air pollutant concentrations at pedestrian level for some cases. However, this study highlights that this negative effect on air quality can turn into positive when used in combination with reductions of local traffic emissions.

Rapid presentation of a de novo intracranial aneurysm: illustrative case.

Intracranial aneurysms are prevalent, particularly with advancing age. De novo aneurysms, occurring independently from the initial lesion, pose a unique challenge because of their unpredictable nature. Although risk factors such as female sex, smoking history, and hypertension have been proposed, the mechanisms underlying de novo aneurysm development remain unclear. A 79-year-old female developed a de novo saccular aneurysm within a year after management of a ruptured vertebral artery dissecting aneurysm. Her complex clinical course involved subarachnoid hemorrhage with diffuse vasospasm, stent occlusion of a dissecting aneurysm, discovery of a right 7- to 8-mm de novo middle cerebral artery aneurysm at the 1-year magnetic resonance angiography follow-up, and successful coil embolization. This rare occurrence challenges established timelines, as most de novo aneurysms manifest over a longer interval. Studies have attempted to identify risk factors, yet consensus remains elusive, particularly regarding the influence of treatment modality on de novo formation rates. This unique case urges reconsideration of posttreatment surveillance protocols, proposing shorter intervals for imaging and more vigilant follow-up strategies to detect asymptomatic de novo aneurysms. Timelier identification could significantly impact patient outcomes by averting potential ruptures. This emphasizes the need for further research to delineate effective monitoring and preventive measures for these enigmatic lesions.

Measurement of Carbon Total Factor Productivity in the Context of Carbon–Electricity Market Collaboration: An Application of Biennial Luenberger Productivity Index

China’s industrial sector generally relies on electricity as its main source of energy, and industrial production can be affected if there are problems with the electricity supply. In order to deal with the uncertain electricity supply and achieve the “dual carbon” target, the industrial sector needs to take effective measures to enhance carbon total factor productivity (CTFP). We use the biennial Luenberger productivity index (BLPI) to try to provide strategies for low-carbon industrial development in China. The results indicate that the overall CTFP of China’s industrial sector showed an increasing trend from 2006 to 2019. Technology change was the main contributor to the change in CTFP, but fluctuations in efficiency change remained a challenge. Differences were observed between the light industry sector (LIS) and the heavy industry sector (HIS) in terms of changes in CTFP, with LIS showing more stable changes and HIS experiencing larger fluctuations. Most sub-sectors showed increased CTFP during the sample period. R&amp;D investment and R&amp;D personnel have a positive impact on CTFP, while energy structure is found to hinder CTFP. According to the research results of this study, we offer the corresponding policy implications. This study is the first to explore the balance between low-carbon goals and industrial production from the perspective of improving CTFP, providing a new viewpoint on the contributions of technological innovation to solving socio-economic issues.

Infective Versus Non-Infective Respiratory Illness Admissions: Comparative cost analysis in a tertiary hospital in Malaysia

Background: Severe Acute Respiratory Infection (SARI) that is mainly caused by the Influenza virus, poses a significant public health threat, demanding timely detection and preventive measures. This study assesses the financial implications of managing two distinct respiratory conditions: SARI and Acute Exacerbation of Bronchial Asthma (AEBA). Method: Data were collected for 100 patients, with 50 cases of SARI and 50 cases of AEBA, admitted to Hospital Canselor Tuanku Muhriz (HCTM) from July to December 2022. Cost analysis was conducted from a provider perspective, considering factors such as building, asset, emolument, overhead, utility, medication, consumables, and laboratory and imaging expenses. Results: The study revealed that the average total cost of treating SARI patients was RM 1,587.11 ($US334.80), significantly higher (30.7%) than AEBA patients at RM 1,214.41 ($US256.18).This was mainly due to the acute and severe nature of SARI, requiring more intensive medical interventions, potentially leading to complications and greater strain on healthcare resources. The study highlighted the economic challenges posed by SARI, provided valuable insights for resource allocation and public health planning. The study's limitations include retrospective data collection and potential underestimation of actual costs due to top-down costing methodology. Conclusion: SARI, especially in the elderly population, leads to substantial healthcare costs and economic impact. Effective preventive measures, such as vaccination, are crucial in reducing the burden of influenza-related illnesses. Health financing plays a vital role in addressing communicable diseases and ensuring the well-being of the population.

PREVENTION OF CYBER FRAUDS IN THE BANKING SECTOR

The project under study explores the prevention of cyber fraud in the banking sector. With the rise of digital banking and increasing cyber threats, it is crucial to identify effective measures to combat cyber fraud and protect the integrity of the banking system. The key strategies for prevention, include education and awareness, technology solutions, fraud detection, and monitoring, as well as collaboration and regulatory measures. Educating customers and bank employees about cyber fraud risks, implementing multi-factor authentication systems, utilizing encryption techniques, and employing anomaly detection algorithms are some of the preventive measures discussed. The project emphasizes the importance of collaboration between banks, law enforcement agencies, and cybersecurity organizations to enhance information sharing and response to cyber threats. Strengthening regulatory frameworks and imposing strict penalties are also identified as crucial steps in promoting cybersecurity practices and deterring cyber criminals. By understanding and implementing these preventive measures, the banking sector can mitigate the risks associated with cyber fraud and safeguard customer assets and data. Key Words: — Banking, Cyber security, Cyber Fraud detection, Finance, Institution, Clients, Customer, Prevention, Research, Collaboration, Interdisciplinary, Strategies, Measures,

The restaurant delivery problem with uncertain cooking time and travel time

Eliminating delays under uncertain delivery conditions presents a formidable challenge for meal delivery platforms. Nevertheless, by implementing effective measures, these platforms can successfully mitigate the impacts of uncertainties on delays. This paper introduces a scenario-based chance-constrained programming model tailored for meal delivery services with uncertain cooking time and travel time, ensuring a more accurate representation of real-world scenarios. The objective is to minimize the delivery cost while considering the decision preferences of a platform. To generate high-quality solutions, this work proposes a novel island harmony search algorithm that incorporates several key components, including greedy search, harmony selection, neighborhood reduction, island migration, and scenario-based simulation. Additionally, a matheuristic is introduced for the purpose of comparison. Comparative evaluation against a set of adopted benchmarks reveals the superior performance of both algorithms. A series of sensitivity analyses are conducted to explore the advantages of considering uncertainty, and investigate how decision preference values influence the feasibility of solutions for meal delivery platforms. The proposed formulation and algorithm yield high-quality solutions for delivery platforms with various preferences, facilitating decision-making that aligns with their operational context.