Adoption Of Best Practices Research Articles

COVID-19 and household water insecurities in vulnerable communities in the Mekong Region

Access to sufficient clean water is important for reducing the risks from COVID-19. It is unclear, however, what influence COVID-19 has had on water insecurities. The objective of this study was to assess the associations between COVID-19 control measures and household water insecurities. A survey of 1559 individuals living in vulnerable communities in five countries (Cambodia, Laos, Myanmar, Thailand, Vietnam) showed that increased needs for clean water to wash hands or facemasks made it more likely a person was water insecure along those dimensions. Water insecurities with respect to handwashing and drinking, in turn, made adoption of the corresponding good practices less likely, whereas in the case of washing facemasks there was no association. Water system infrastructure, environmental conditions such as floods and droughts, as well as gender norms and knowledge, were also important for water insecurities and the adoption of good practices. As domestic water insecurities and COVID-19 control measures are associated with each other, efforts should therefore be directed at identifying and assisting the water insecure at high risk when COVID-19 reaches their communities.

Cost-effectiveness of dehydrated human amnion/chorion membrane allografts in lower extremity diabetic ulcer treatment.

To evaluate the cost-effectiveness and budget impact of using standard care (no advanced treatment, NAT) compared with an advanced treatment (AT), dehydrated human amnion/chorion membrane (DHACM), when following parameters for use (FPFU) in treating lower extremity diabetic ulcers (LEDUs). We analysed a retrospective cohort of Medicare patients (2015-2019) to generate four propensity-matched cohorts of LEDU episodes. Outcomes for DHACM and NAT, such as amputations, and healthcare utilisation were tracked from claims codes, analysed and used to build a hybrid economic model, combining a one-year decision tree and a four-year Markov model. The budget impact was evaluated in the difference in per member per month spending following completion of the decision tree. Likewise, the cost-effectiveness was analysed before and after the Markov model at a willingness to pay (WTP) threshold of $100,000 per quality adjusted life year (QALY). The analysis was conducted from the healthcare sector perspective. There were 10,900,127 patients with a diagnosis of diabetes, of whom 1,213,614 had an LEDU. Propensity-matched Group 1 was generated from the 19,910 episodes that received AT. Only 9.2% of episodes were FPFU and DHACM was identified as the most widely used AT product among Medicare episodes. Propensity-matched Group 4 was limited by the 590 episodes that used DHACM FPFU. Episodes treated with DHACM FPFU had statistically fewer amputations and healthcare utilisation. In year one, DHACM FPFU provided an additional 0.013 QALYs, while saving $3,670 per patient. At a WTP of $100,000 per QALY, the five-year net monetary benefit was $5003. The findings of this study showed that DHACM FPFU reduced costs and improved clinical benefits compared with NAT for LEDU Medicare patients. DHACM FPFU provided better clinical outcomes than NAT by reducing major amputations, ED visits, inpatient admissions and readmissions. These clinical gains were achieved at a lower cost, in years 1-5, and were likely to be cost-effective at any WTP threshold. Adoption of best practices identified in this retrospective analysis is expected to generate clinically significant decreases in amputations and hospital utilisation while saving money.

Local Solution for a Global Problem


 
 
 Nitrogen pollution is one of the most pressing environmental problems in the U.S. today, with grave implications for human and environmental health. Agricultural activities release the most nitrogen pollution of any industry, but a combination of prescriptive regulation of farmers and voluntary adoption of best practices has not solved the problem. However, municipal ordinances encouraging the sale of EEFs (Enhanced Efficiency Fertilizers) could be a new approach to tackle nitrogen pollution. More than 11 million acres of corn farms, largely in just five states, apply fertilizer extremely inefficiently. These states could realize the most benefits from an EEF ordinance in the form of lowered costs for farmers, higher revenues for fertilizer companies, and fewer environmental and humanhealth problems caused by nitrogen. This Note describes the issue of nitrogen fertilizer pollution in the U.S., provides the reasoning for a municipal minimum sales share EEF ordinance, and proposes a sample ordinance that a municipality in Illinois, Minnesota, Michigan, Nebraska, or Ohio could adopt to manage the most serious effects of nitrogen pollution on public health and the environment. This Note then analyzes the history of ordinances that municipalities have passed in order to regulate certain products similar to nitrogen fertilizers. The litigation that ensued after these ordinances passed illuminates the likely legal hurdles that an EEF ordinance would face.
 
 

Infecção por circovírus suíno associado a micotoxicose: relato de caso

Circovirus is widespread in pig farming, and mainly affects piglets increasing morbidity and mortality rates, being vaccination the most effective strategy to control one. However, for an effective vaccine response, certain factors must be considered, such as the adoption of good practices during the conservation and handling of vaccines, environmental challenges, nutritional and health status of the animals, and presence of immunosuppressive agents, such as mycotoxins, in the feed. Here, we describe a circovirus outbreak associated with mycotoxin immunosuppression that occurred in the piglets during the nursery phase at a commercial farm, which initiated with a sudden increase in the mortality of vaccinated piglets. Blood samples were collected and analyzed using RT-PCR, while the feed was subjected to mycotoxicological analysis. RT-PCR analysis revealed the presence of porcine circovirus type 2 (PCV-2) in the blood serum samples, thereby confirming the circovirus outbreak. The feed analysis revealed elevated levels of mycotoxins (deoxynivalenol, aflatoxins, and fumonisins), which were above the levels tolerated by the piglets during the nursery phase. Therefore, the contaminated feed was discarded, and a new ration was made available. Concurrently, the vaccination program was amended to normalize the mortality rate. The presence of mycotoxins in the feed could be the predisposed factor for piglet infection caused by PCV-2 and other diseases. This is an important aspect because the immunosuppressive effect of mycotoxins can alter the vaccine response, thereby making the piglets more susceptible to the diseases even after being vaccinated, although they should be immunologically protected.

Evaluation of an educational strategy to improve medication reconciliation in ambulatory care

BackgroundImproper medication reconciliation can result in inaccurate medication lists. When medication lists are inaccurate, it can result in drug-drug interactions, dosing errors, and medication duplication. Interventions targeting medication reconciliation have had varying levels of success. ObjectiveThis study aimed to describe the medication reconciliation educational program, its implementation in a health care system, pharmacist and clinic personnel perception of the program, and its impact on clinic personnel knowledge and practice. MethodsGuided by the Conceptual Model of Implementation Research, a partially mixed sequential dominant status evaluation of a pharmacist-led educational program on evidence-based practices for medication reconciliation implemented into all primary care clinic sites by examining implementation outcomes was conducted. The implementation outcomes measured include penetration, fidelity, acceptability, appropriateness, feasibility, and adoption. Data were collected through program data and direct observations, pre- and postsurveys, and semistructured interviews of pharmacists and clinic personnel. ResultsOf 46 primary care sites, 37 primary care sites (80%) implemented the pharmacist-delivered medication reconciliation education from April to June 2021 with representation from each of Geisinger’s regions. Ten clinic sites (27%) completed the medication reconciliation educational program as originally designed, with the remainder adapting the program. A total of 296 clinic personnel completed the presurvey, and 178 completed the postsurvey. There were no differences in baseline characteristics between clinic personnel who completed the pre- versus postsurvey. All clinic personnel interviewed felt satisfied with the educational program and felt it was appropriate because it directly affected their job. Clinic personnel felt the educational program was acceptable and appropriate; two major concerns were discussed: a lack of patient knowledge about their medications and a lack of time to complete the medication reconciliation. The adherence rate to the elements of the medication reconciliation that were covered in the education program ranged from 0% to 95% in the 55 observations conducted. ConclusionAn educational program for medication reconciliation was found to be acceptable and appropriate but was often adapted to fit site-specific needs. Additional barriers affected adoption of best practices and should be addressed in future studies.

Citrus Stubborn Disease: Current Insights on an Enigmatic Problem Prevailing in Citrus Orchards.

Citrus stubborn was initially observed in California in 1915 and was later proven as a graft-transmissible disease in 1942. In the field, diseased citrus trees have compressed and stunted appearances, and yield poor-quality fruits with little market value. The disease is caused by Spiroplasma citri, a phloem-restricted pathogenic mollicute, which belongs to the Spiroplasmataceae family (Mollicutes). S. citri has the largest genome of any Mollicutes investigated, with a genome size of roughly 1780 Kbp. It is a helical, motile mollicute that lacks a cell wall and peptidoglycan. Several quick and sensitive molecular-based and immuno-enzymatic pathogen detection technologies are available. Infected weeds are the primary source of transmission to citrus, with only a minor percentage of transmission from infected citrus to citrus. Several phloem-feeding leafhopper species (Cicadellidae, Hemiptera) support the natural spread of S. citri in a persistent, propagative manner. S. citri-free buds are used in new orchard plantings and bud certification, and indexing initiatives have been launched. Further, a quarantine system for newly introduced types has been implemented to limit citrus stubborn disease (CSD). The present state of knowledge about CSD around the world is summarized in this overview, where recent advances in S. citri detection, characterization, control and eradication were highlighted to prevent or limit disease spread through the adoption of best practices.

The influence of strategic management accounting on value creation in government linked companies

This study aims to examine the connection between strategic management accounting (SMA) practices and the elements of value creation. 215 data from state and federal government linked companies (GLCs) in Malaysia were collected through a questionnaire survey. Respondents for this study were selected through purposive sampling. These data were analysed using SPSS and AMOS to test the relationship between the SMA variables such as benchmarking, integrated performance measurement, strategic costing, strategic pricing, brand valuation, quality costing and competitors' performance evaluation. This study found that the practitioners are aware of the advantages of adopting SMA practices and their impact on business management and performance by creating value in their organisations. SMA techniques provide strategic planning and non-financial information that encourage competition and the adoption of best practices, which helps GLCs to perform better and achieve a sustainable competitive advantage, which directly reflects in generating value creation.

Preliminary N2O Emissions of Major Vegetable Cropping Systems in Peri-urban Hanoi, Vietnam

Crop management practices in intensive vegetable production can influence nitrous oxide (N2O) emissions from soils. This study quantified seasonal N2O emissions and N2O emission intensities, and investigated the factors driving emissions in different vegetable management practices. Emissions from four typical vegetable crops (two choy sums, a mustard, and a cabbage) were intensively measured over the 2016 autumn season on farms in Van Noi and Dang Xa communes in the Hanoi peri-urban area. Different N2O emissions were observed in the four leafy vegetable crops. The average daily emissions varied from 12.15 g to 40.08 g N2O-N ha-1 and the autumn season N2O emissions varied from 1.13 kg to 8.45 kg N2O-N ha-1 across the four crops. The greatest daily and season emissions were from cabbage, and the lowest were from mustard. Emission intensities varied among the types of vegetables and was the lowest at the mustard farm (37 kg CO2-e t-1), indicating that the crop management practices increased the mustard yield but retained a low N2O emission rate. Practices responsible for high N2O emissions were overuse of nitrogen fertilisers and furrow irrigation. An improvement in the farmers’ adoption of best practices in fertiliser application and irrigation could reduce N2O emissions without affecting crop productivity.

Fibrocytes: A Critical Review and Practical Guide.

Fibrocytes are hematopoietic-derived cells that directly contribute to tissue fibrosis by producing collagen following injury, during disease, and with aging. The lack of a fibrocyte-specific marker has led to the use of multiple strategies for identifying these cells in vivo. This review will detail how past studies were performed, report their findings, and discuss their strengths and limitations. The motivation is to identify opportunities for further investigation and promote the adoption of best practices during future study design.

Increased adoption of best practices in ecological forecasting enables comparisons of forecastability.

Near‐term iterative forecasting is a powerful tool for ecological decision support and has the potential to transform our understanding of ecological predictability. However, to this point, there has been no cross‐ecosystem analysis of near‐term ecological forecasts, making it difficult to synthesize diverse research efforts and prioritize future developments for this emerging field. In this study, we analyzed 178 near‐term (≤10‐yr forecast horizon) ecological forecasting papers to understand the development and current state of near‐term ecological forecasting literature and to compare forecast accuracy across scales and variables. Our results indicated that near‐term ecological forecasting is widespread and growing: forecasts have been produced for sites on all seven continents and the rate of forecast publication is increasing over time. As forecast production has accelerated, some best practices have been proposed and application of these best practices is increasing. In particular, data publication, forecast archiving, and workflow automation have all increased significantly over time. However, adoption of proposed best practices remains low overall: for example, despite the fact that uncertainty is often cited as an essential component of an ecological forecast, only 45% of papers included uncertainty in their forecast outputs. As the use of these proposed best practices increases, near‐term ecological forecasting has the potential to make significant contributions to our understanding of forecastability across scales and variables. In this study, we found that forecastability (defined here as realized forecast accuracy) decreased in predictable patterns over 1–7 d forecast horizons. Variables that were closely related (i.e., chlorophyll and phytoplankton) displayed very similar trends in forecastability, while more distantly related variables (i.e., pollen and evapotranspiration) exhibited significantly different patterns. Increasing use of proposed best practices in ecological forecasting will allow us to examine the forecastability of additional variables and timescales in the future, providing a robust analysis of the fundamental predictability of ecological variables.

Perceptions of Biosecurity-Based Accreditation in the Plant Trade: A UK Example

It is widely acknowledged that a major threat to tree health biosecurity comes from trade, particularly through the importation of containerised live plants and associated growing media. Nurseries can collectively play a key role in mitigating pests and diseases through attention to their daily practices (e.g., procuring plants, storage and management). More widespread adoption of best practices in the sector could be promoted through the introduction of a UK-wide accreditation scheme. However, the success of such a scheme would depend not only on its uptake by nurseries but also on the attitudes of key consumers in the plant supply chain. To date, the perspectives of the nursery sector on the feasibility of plant biosecurity, as well as the sensitivity of these sectors to consumer opinion, have remained under-researched. Using the COM-B [Capability, Opportunity, Motivation—Behaviour] model as a framework, we draw on qualitative results to assess the appetite for a hypothetical accreditation scheme amongst UK nurseries and the capability, opportunities and motivations to enhance their biosecurity practices. Nineteen semi-structured interviews were conducted with plant nurseries and 22 with their consumers. Overall a plant health accreditation scheme should have actions that are: (1) viable within the confines of the site and supply chain; (2) affordable where the benefits of changes/improvements outweigh the costs; (3) beneficial in that they promote biosecurity; (4) attractive to consumers looking to purchase products from accredited nurseries; (5) fair and inclusive where everyone has responsibility for biosecurity; (6) transparent with the scheme involving a strong monitoring and auditing component. This study provides important insights that will feed into the development of plant biosecurity-focussed accreditation or certification.

UCEasy: A software package for automating and simplifying the analysis of ultraconserved elements (UCEs).

BackgroundThe use of Ultraconserved Elements (UCEs) as genetic markers in phylogenomics has become popular and has provided promising results. Although UCE data can be easily obtained from targeted enriched sequencing, the protocol for in silico analysis of UCEs consist of the execution of heterogeneous and complex tools, a challenge for scientists without training in bioinformatics. Developing tools with the adoption of best practices in research software can lessen this problem by improving the execution of computational experiments, thus promoting better reproducibility.New informationWe present UCEasy, an easy-to-install and easy-to-use software package with a simple command line interface that facilitates the computational analysis of UCEs from sequencing samples, following the best practices of research software. UCEasy is a wrapper that standardises, automates and simplifies the quality control of raw reads, assembly and extraction and alignment of UCEs, generating at the end a data matrix with different levels of completeness that can be used to infer phylogenetic trees. We demonstrate the functionalities of UCEasy by reproducing the published results of phylogenomic studies of the bird genus Turdus (Aves) and of Adephaga families (Coleoptera) containing genomic datasets to efficiently extract UCEs.

Efficiency Analysis as a Tool for Revealing Best Practices and Innovations: The Case of the Sheep Meat Sector in Europe.

Simple SummaryThe European sheep meat sector faces technical, market and financial challenges that threaten its economic performance and overall sustainability. At the same time, the sector is characterized by poor and slow adoption of innovations that could help towards facing these challenges. In this study, the technical efficiency of extensive, semi-intensive and intensive sheep meat farms in France, Spain and the UK was explored to reveal the profile of the most efficient ones and identify the best practices and innovations that these farms apply. The most efficient sheep meat farms reared large flocks, used available infrastructure at full capacity and managed human labor in a rational way. These best farms emphasized feeding and grazing innovations, marketing strategies, breeding programs and use of digital technologies. The uptake of such practices and innovations by farms of similar production systems could help to increase the productivity and economic performance of the sheep meat sector.The slow adoption of innovations is a key challenge that the European sheep sector faces for its sustainability. The future of the sector lies on the adoption of best practices, modern technologies and innovations that can improve its resilience and mitigate its dependence on public support. In this study, the concept of technical efficiency was used to reveal the most efficient sheep meat farms and to identify the best practices and farm innovations that could potentially be adopted by other farms of similar production systems. Data Envelopment Analysis was applied to farm accounting data from 458 sheep meat farms of intensive, semi-intensive and extensive systems from France, Spain and the UK, and the structural and economic characteristics of the most efficient farms were analyzed. These best farmers were indicated through a survey, which was conducted within the Innovation for Sustainable Sheep and Goat Production in the Europe (iSAGE) Horizon 2020 project, the management and production practices and innovations that improve their economic performance and make them better than their peers.

Exploring Internal Facilitators' Experience With NeoECHO to Foster NEC Prevention and Timely Recognition Through the iPARIHS Lens.

Necrotizing enterocolitis (NEC) remains a major complication in the neonatal population. Standard practices regarding the care of premature infants and attitudes toward NEC prevention strategies vary across neonatal intensive care units (NICUs). Evidence-based best practice dissemination was presented through the NEC-Zero bundle. To close gaps between evidence and practice, a telehealth-delivered intervention (ie, NeoECHO) was provided to NICUs. The purpose of this study was to enable adoption of best practice for NEC prevention using NeoECHO through describing the local volunteer unit leaders', or internal facilitators' (IFs'), experiences in participating in NeoECHO and identifying the extent to which the facilitation activities within the NeoECHO experience were consistent with constructs from the integrated Promoting Action on Research Implementation in Health Services (iPARHIS) framework. The design of this study was qualitative descriptive. Six IFs were recruited in the Southwest. After 6 NeoECHO sessions, individual interviews were conducted and transcribed verbatim. Content analysis was applied. Codes were informed by the iPARIHS framework. Major themes were (1) Innovation: Quality Improvement Projects, Bundles of Care, and Huddle; (2) Recipient: Reluctant Stakeholders and Technical Modalities; (3) Context: Buy-In, Timing, Resources, Leadership, and Blame; (4) Facilitation: Betterment, Buddy System, Passionate Care, and Empowerment; and (5) Adoption: Continuous Quality Improvement, Evidence-Based Practice, and Honest Discussions. NeoECHO fostered a learning community to share current practices, policies, and strategies for NEC prevention, but the IFs were essential to foster local participation. The long-term impacts of NeoECHO are the focus of current research.Video Abstract available athttps://journals.lww.com/advancesinneonatalcare/Pages/videogallery.aspx.

MSCAT: A Machine Learning Assisted Catalog of Metabolomics Software Tools.

The bottleneck for taking full advantage of metabolomics data is often the availability, awareness, and usability of analysis tools. Software tools specifically designed for metabolomics data are being developed at an increasing rate, with hundreds of available tools already in the literature. Many of these tools are open-source and freely available but are very diverse with respect to language, data formats, and stages in the metabolomics pipeline. To help mitigate the challenges of meeting the increasing demand for guidance in choosing analytical tools and coordinating the adoption of best practices for reproducibility, we have designed and built the MSCAT (Metabolomics Software CATalog) database of metabolomics software tools that can be sustainably and continuously updated. This database provides a survey of the landscape of available tools and can assist researchers in their selection of data analysis workflows for metabolomics studies according to their specific needs. We used machine learning (ML) methodology for the purpose of semi-automating the identification of metabolomics software tool names within abstracts. MSCAT searches the literature to find new software tools by implementing a Named Entity Recognition (NER) model based on a neural network model at the sentence level composed of a character-level convolutional neural network (CNN) combined with a bidirectional long-short-term memory (LSTM) layer and a conditional random fields (CRF) layer. The list of potential new tools (and their associated publication) is then forwarded to the database maintainer for the curation of the database entry corresponding to the tool. The end-user interface allows for filtering of tools by multiple characteristics as well as plotting of the aggregate tool data to monitor the metabolomics software landscape.

31 Identifying and Responding to Elder Mistreatment in the Emergency Department: Results from a Multi-Site Feasibility Study

Elder mistreatment (EM) is a prevalent problem in the US that has devastating consequences for victims’ health and quality of life and additional costs for families, health care systems, and social services systems. Emergency departments (ED) disproportionately care for older persons with known risk factors for EM and are well positioned to identify and address EM. However, ED systems issues such as staff overload and lack of EM-focused training, screening and response protocols, have prevented widespread adoption of best practices that would increase identification of and appropriate intervention for older adults experiencing or at risk for EM. The National Collaboratory to Address Elder Mistreatment designed an integrated Elder Mistreatment Emergency Department Toolkit (the Toolkit) to help ED staff identify and respond to suspicion of or risk for EM. The Toolkit uses a two-stage screening approach (brief then triggered) and a structured response which was implemented in EDs within five US hospitals. In order to better understand factors influencing implementation of the toolkit, a feasibility study was conducted to answer three research questions: 1. Is the Toolkit feasible to implement in the ED? 2. Are EDs better able to identify and manage cases of elder mistreatment when they implement the Toolkit? 3. How does implementation of the Toolkit affect other aspects of ED operations? To answer these questions, this study utilized a mixed-methods approach. Quantitative data included staff’s baseline and follow-up assessments of ED practices related to EM; staff changes in knowledge before and after participation in training about screening for and responding to suspected cases of EM; aggregated hospital-level data on indicators of ED functioning; and patient-level data on screening rates and EM risk factors. ED staff provided rich qualitative information on the extent to which the Toolkit achieved seven feasibility criteria: practicality, acceptability, utility, implementation, integration, adaptability, and initial efficacy. We present preliminary findings organized by evaluation question. Staff training resulted in significant increases (p < 0.05) in knowledge and efficacy. Staff at all sites were receptive to the two-stage screening approach and found tools easy to use. The Toolkit was implemented differently in terms of which ED staff conducted the two-staged screening (ie, triage nurse, bedside nurse, social work). The proportion of patients screened at each site varied widely (18% to 87%), but screening rates increased over time at all sites. Of the older adults who were brief screened (n=15, 710), 1% screened positive in the brief screening stage and were then screened intensively using the triggered screen. Of these, 32% (n=42) were designated as suspected cases of elder mistreatment. An elder mistreatment screening and response toolkit may be successfully implemented in EDs. Training led to increases in staff knowledge about EM following training. Rates of screening increased, and ED providers found the toolkit useful. We found variations between EDs in how the toolkit was adapted, deployed, and integrated into ED workflow.

Drivers of organizational adoption of automation

• Organizational adoption of automation is made possible by technological progress • Labor shortage, due to demographic change, livability, and labor mobility, calls for automation. • Customer characteristics and culture determine how automation is designed and implemented. • Transformational leadership is key to successful realization of business model innovation. • These factors can be employed to improve adoption of best practices of automation in tourism.

Business resilience best practices that do not work: Cautions and guidance

Across the world, there is an increasing tendency for businesses to rely on best practices, based on the assumption that they provide proven, credible and efficient solutions. In-depth scrutiny of ‘best practicism’, however, paints a different picture of its effectiveness; indeed, the adoption of best practices is commonly ineffective due to their misapplication or the use of unsupported assumptions. This article explores the use of best practices in the business resilience profession and describes reasons why assumptions about them are often incorrect. Cautions about best practices focus on the importance of change processes, underestimating problem complexity, and the influence of confirmation bias. These factors, and ways to address them, are described in the context of business resilience.

Vaccine hesitancy and other obstacles to COVID-19 control: lessons from smallpox.

The world confronts today a disease which was unknown as recently as early 2019. Now that there is a safe and effective vaccine against COVID-19, lessons can usefully be drawn from previous well documented vaccination efforts. Of these, the best documented and most successful is the Smallpox Eradication Program (SEP). A review was made of publications by major players in smallpox eradication, respecting the important differences between the disease, this review revealed several points of connection. Cultural factors loomed large both in the eradication of smallpox and progress, to date, in the control of COVID-19. Other points of similarity included political commitment, the set-up of strong surveillance mechanisms, and assurance of uniformly high quality vaccines tested and approved by the World Health Organization. The future of COVID-19 control depends, in part, on lessons learned from previous vaccination efforts. A review of those efforts will avoid repetition of past errors and permit adoption of best practices from the past. Such analyses must, of course, respect the important differences between COVID-19 and smallpox.

The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging.

Neuroimaging stands to benefit from emerging ultrahigh-resolution 3D histological atlases of the human brain; the first of which is 'BigBrain'. Here, we review recent methodological advances for the integration of BigBrain with multi-modal neuroimaging and introduce a toolbox, 'BigBrainWarp', that combines these developments. The aim of BigBrainWarp is to simplify workflows and support the adoption of best practices. This is accomplished with a simple wrapper function that allows users to easily map data between BigBrain and standard MRI spaces. The function automatically pulls specialised transformation procedures, based on ongoing research from a wide collaborative network of researchers. Additionally, the toolbox improves accessibility of histological information through dissemination of ready-to-use cytoarchitectural features. Finally, we demonstrate the utility of BigBrainWarp with three tutorials and discuss the potential of the toolbox to support multi-scale investigations of brain organisation.