Advances in data-collection tools and analytics for crop pest and disease management.

Innovative methods in data collection and analytics for pest and disease management are advancing together with computational efficiency. Tools, such as the open-data kit, research electronic data capture, fall armyworm monitoring, and early warning- system application and remote sensing have aided the efficiency of all types of data collection, including text, location, images, audio, video, and others. Concurrently, data analytics have also evolved with the application of artificial intelligence and machine learning (ML) for early warning and decision-support systems. ML has repeatedly been used for the detection, diagnosis, modeling, and prediction of crop pests and diseases. This paper thus highlights the innovations, implications, and future progression of these technologies for sustainability.

Use of Real-World Data and Evidence in Drug Development of Medicinal Products Centrally Authorized in Europe in 2018-2019.

Real-world data/real-world evidence (RWD/RWE) are considered to have a great potential to complement, in some cases, replace the evidence generated through randomized controlled trials. By tradition, use of RWD/RWE in the postauthorization phase is well-known, whereas published evidence of use in the pre-authorization phase of medicines development is lacking. The primary aim of this study was to identify and quantify the role of potential use of RWD/RWE (RWE signatures) during the pre-authorization phase, as presented in the initial marketing authorization applications of new medicines centrally evaluated with a positive opinion in 2018-2019 (n = 111) by the European Medicines Agency (EMA). Data for the study was retrieved from the evaluation overviews of the European Public Assessment Reports (EPARs), which reflect the scientific conclusions of the assessment process and are accessible through the EMA website. RWE signatures were extracted into an RWE Data Matrix, including 11 categories divided over 5 stages of the drug development lifecycle. Nearly all EPARs included RWE signatures for the discovery (98.2%) and life-cycle management (100.0%). Half of them included RWE signatures for the full development phase (48.6%) and for supporting regulatory decisions at the registration (46.8%), whereas over a third (35.1%) included RWE signatures for the early development. RWE signatures were more often seen for orphan and conditionally approved medicines. Oncology, hematology, and anti-infectives stood out as therapeutic areas with most RWE signatures in their full development phase. The findings bring unprecedented insights about the vast use of RWD/RWE in drug development supporting the regulatory decision making.

RECONSTRUCTION, VERIFICATION AND ANALYSIS OF RESULTS OF WBC MEASUREMENTS DATED 1986 THAT WERE INPUTTED TO ELECTRONIC DATABASE IN 2019-2021. / VIDNOVLENNIa, VERYFIKATsIIa TA ANALIZ REZUL'TATIV LVL/VYMIRIuVAN' 1986 R., ShchO VNESENI DO ELEKTRONNOÏ BAZY U 2019­2021 rr.

Objective of research is to improve the electronic database of WBC measurements dated 1986 by inputting of newinformation from paper carriers, reconstruction of information gaps, verification and analysis of new entered data,revision of internal exposure doses that are based on results of WBC measurements dated 1986. MATERIALS AND METHODS: In 2013-2015 during a revision of databases (DB) of WBC measurements results dated1986-2014, it was discovered a great amount of paper carriers with information about WBC measurements, includ-ing the ones dated 1986, that were not inputted to the electronic DB. The paper carriers were systematized andordered by the following indicators: place of residence of a person and place of WBC measurement, institution andoperator that made the measurement, measurement device and date of measurement. For a comfortable inputtingof the information to the electronic DB, it was additionally created a form which exists as an option in existing program complex Silbody (Version 19.0.9). In the revised DB of WBC measurements dated 1986 internal exposure dosesfrom radio-cesium of Chornobyl origin were computed based on an ecological and dosimetric model for radio-cesiummigration in environment and a model for radio-cesium metabolism in human body. In the work, mathematical andstatistical methods of research were used. RESULTS: In 2019-2021 additionally 35,319 notes were inputted to the electronic DB of WBC measurement dated1986, and as a result its volume increased in 2.2 times. Mostly those are data on results concerning residents of Kyiv,Zhytomyr, Donetsk, Cherkasy, Odessa, Ivano-Frankivsk, and Rivne Oblasts. It was established the information onmeasurement devices and respectively on the minimal detected activity (MDA) for 27,119 notes (76.7 % of all newentered). Information is reconstructed about the body mass of all persons under investigation. Evaluation is madefor values of intake of incorporated radionuclides 137Cs and 134Cs for all new entered to DB. Quality of reconstructedinformation was analyzed. To group 1, «qualitative¼, it was classified 18,598 notes (53 % of all new entered), measurements in 1986 (including new entered). Dose not exceeding 1 mSv was obtained by 80 % of adults (older than20), as well as 73 % of persons younger than 20. CONCLUSION: To DB of WBC measurements, it was additionally inputted 35,319 notes on results of measurementsdated 1986. New entered information is verified and distributed by the quality groups. Individual exposure dosesevaluated based on those data can be used for further scientific research.

Using the Newcomb-Benford law to study the association between a country's COVID-19 reporting accuracy and its development.

The COVID-19 pandemic has spurred controversies related to whether countries manipulate reported data for political gains. We study the association between accuracy of reported COVID-19 data and developmental indicators. We use the Newcomb-Benford law (NBL) to gauge data accuracy. We run an OLS regression of an index constructed from developmental indicators (democracy level, gross domestic product per capita, healthcare expenditures, and universal healthcare coverage) on goodness-of-fit measures to the NBL. We find that countries with higher values of the developmental index are less likely to deviate from the Newcomb-Benford law. The relationship holds for the cumulative number of reported deaths and total cases but is more pronounced for the death toll. The findings are robust for second-digit tests and for a sub-sample of countries with regional data. The NBL provides a first screening for potential data manipulation during pandemics. Our study indicates that data from autocratic regimes and less developed countries should be treated with more caution. The paper further highlights the importance of independent surveillance data verification projects.

Estimation of the Width of Uncertainty in Care Consumption and Costs When Using Common Data Collection Tools in Economic Evaluations: A Benchmark for Sensitivity Analyses.

OBJECTIVES: This study aimed to evaluate the uncertainty related to the use of common collection tools to assess costs in economic evaluations compared with an exhaustive administrative database. METHODS: A pragmatic study was performed using preexisting cost-effectiveness studies. Patients were probabilistically matched with themselves in the French National Health Data System (Système National des Données de Santé [SNDS]), and all their reimbursed hospital and ambulatory care data during the study were extracted. Outcomes included the ratio of the number of each type of resources consumed using trial data (case report forms for ambulatory care and local hospital data for hospital care) versus the SNDS and the ratio of corresponding costs. Mean ratios and 95% confidence intervals (CIs) were calculated using bootstrapping. The impact of the collection tool on the result of the economic evaluation was calculated with the difference in costs between the 2 treatment arms with both collection methods. RESULTS: Five cost-effectiveness studies were included in the analysis. A total of 397 patients had the SNDS hospital data, and 321 had ambulatory care data. Common collection tools underestimated hospital admissions by 13% (95% CI 8-20), corresponding costs by 5% (95% CI 2-14), and ambulatory acts by 41% (95% CI 33-51), with large variations in costs depending on the study. There was no change in the economic conclusion in any study. CONCLUSIONS: The use of common collection tools underestimates healthcare resource consumption and its associated costs, particularly for ambulatory care. Our results could provide useful evidence-based estimates to inform sensitivity analyses' parameters in future cost-effectiveness analyses.

Discovering New Trends & Connections: Current Applications of Biomedical Text Mining.

The explosive growth of digital information in recent years has amplified the information overload experienced by today's health-care professionals. In particular, the wide variety of unstructured text makes it difficult for researchers to find meaningful data without spending a considerable amount of time reading. Text mining can be used to facilitate better discoverability and analysis, and aid researchers in identifying critical trends and connections. This column will introduce key text-mining terms, recent use cases of biomedical text mining, and current applications for this technology in medical libraries.

Electronic forms for patient reported outcome measures (PROMs) are an effective, time-efficient, and cost-minimizing alternative to paper forms.

BACKGROUND: Patient reported outcome measures (PROMs) provide valuable insight on patients' well-being and facilitates communication between healthcare providers and their patients. The increased integration of the technology within the healthcare setting presents the opportunity to collect PROMs electronically, rather than on paper. The Childhood Health Assessment Questionnaire (CHAQ) and Quality of My Life (QoML) are common PROMs collected from pediatric rheumatology patients. The objectives of this study are to (a) determine the equivalence of the paper and electronic forms (e-form) of CHAQ and QoML questionnaires; (b) identify potential benefits and barriers associated with using an e-form to capture PROMs; and (c) gather feedback on user experience. METHODS: Participants completed both a paper and an e-form of the questionnaires in a randomized order, following which they completed a feedback survey. Agreement of the scores between the forms were statistically analyzed using the intraclass correlation coefficient (ICC) (95 % Confidence Interval (CI)) and bias was assessed using a Bland-Altman plot. Completion and processing times of the forms were compared using mean and median measures. Quantitative analysis was performed to assess user experience ratings, while comments were qualitatively analyzed to identify important themes. RESULTS: 196 patients participated in this project. Scores on the forms had high ICC agreement > 0.9. New patients took longer than returning patients to complete the forms. Overall, the e-form was completed and processed in a shorter amount of time than the paper form. 83 % of survey respondents indicated that they either preferred the e-form or had no preference. Approximately 10 % of respondents suggested improvements to improve the user interface. CONCLUSIONS: E-forms collect comparable information in an efficient manner to paper forms. Given that patients and caregivers indicated they preferred completing PROMs in this manner, we will implement their suggested changes and incorporate e-forms as standard practice for PROMs collection in our pediatric rheumatology clinic.

'If relevant, yes; if not, no': General practitioner (GP) users and GP perceptions about asking ethnicity questions in Irish general practice: A qualitative analysis using Normalization Process Theory.

CONTEXT: The use of ethnic identifiers in health systems is recommended in several European countries as a means to identify and address heath inequities. There are barriers to implementation that have not been researched. OBJECTIVE: This study examines whether and how ethnicity data can be collected in Irish general practices in a meaningful and acceptable way. METHODS: Qualitative case study data generation was informed by Normalization Process Theory (NPT) constructs about 'sense' making and 'engagement'. It consisted of individual interviews and focus group discussions based on visual participatory techniques. There were 70 informants, including 62 general practitioner (GP) users of diverse ethnic backgrounds recruited through community organisations and eight GPs identified through an inter-agency steering group. Data were analysed according to principles of thematic analysis using NPT. RESULTS: The link between ethnicity and health was often considered relevant because GP users grasped connections with genetic (skin colour, lactose intolerance), geographic (prevalence of disease, early years exposure), behavioural (culture/food) and social determinant (housing) factors. The link was less clear with religion. There was some scepticism and questions about how the collection of data would benefit GP consultations and concerns regarding confidentiality and the actual uses of these data (e.g. risk of discrimination, social control). For GPs, the main theme discussed was relevance: what added value would it bring to their consultations and was it was their role to collect these data? Their biggest concern was about data protection issues in light of the European Union (EU) General Data Protection Regulation (GDPR). The difficulty in explaining a complex concept such as 'ethnicity' in the limited time available in consultations was also worrying. CONCLUSIONS: Implementation of an ethnicity identifier in Irish general practices will require a strong rationale that makes sense to GP users, and specific measures to ensure that its benefits outweigh any potential harm. This is in line with both our participants' views and the EU GDPR.

Precision Medicine: Academic dreaming or clinical reality?

Precision medicine can be distilled into a concept of accounting for an individual's unique collection of clinical, physiologic, genetic, and sociodemographic characteristics to provide patient-level predictions of disease course and response to therapy. Abundant evidence now allows us to determine how an average person with epilepsy will respond to specific medical and surgical treatments. This is useful, but not readily applicable to an individual patient. This has brought into sharp focus the desire for a more individualized approach through which we counsel people based on individual characteristics, as opposed to population-level data. We are now accruing data at unprecedented rates, allowing us to convert this ideal into reality. In addition, we have access to growing volumes of administrative and electronic health records data, biometric, imaging, genetics data, microbiome, and other "omics" data, thus paving the way toward phenome-wide association studies and "the epidemiology of one." Despite this, there are many challenges ahead. The collating, integrating, and storing sensitive multimodal data for advanced analytics remains difficult as patient consent and data security issues increase in complexity. Agreement on many aspects of epilepsy remains imperfect, rendering models sensitive to misclassification due to a lack of "ground truth." Even with existing data, advanced analytics models are prone to overfitting and often failure to generalize externally. Finally, uptake by clinicians is often hindered by opaque, "black box" algorithms. Systematic approaches to data collection and model generation, and an emphasis on education to promote uptake and knowledge translation, are required to propel epilepsy-based precision medicine from the realm of the theoretical into routine clinical practice.

Wicked Solution for Wicked Problems: Citizen Science for Vector-Borne Disease Control in Africa.

At the crossroads of interacting biological, socioeconomic, behavioral, and institutional factors, vector-borne diseases are complex 'wicked problems'. In this article, we argue that citizen science can help in vector control by boosting scientific data collection, tapping into local knowledge, and building durable partnerships between scientists and communities.

Web search trends related to oral health issues during the Covid-19 outbreak in Brazil: an infodemiological survey

Objective: To compare the web search trends related to oral health issues during the COVID-19 outbreak with the previous year, focusing on dental trauma (DT), bruxism (BX) and toothache (TA). Methods: It was an infodemiological study carried out using Google Trends tool. Popular terms related to oral health issues investigated were used in Portuguese to retrieve relative search volumes (RSV) normalized by the algorithm. The case period consisted of data relating to the interval from December 12, 2019 to December 12, 2020, while the control period referred to the interval from December 11, 2018 to December 11, 2019. Results: Within the case and control periods, popular terms related to TA were significantly more searched on the web, followed by BX and DT terms (all p-value <0.05). There were higher RSV for all popular terms related to oral health issues investigated during the COVID-19 outbreak than in the previous year (all p-value <0.05), especially in the third and fourth quarters. The mean frequencies were significantly higher in the case period for all oral health issues (all p-value <0.05). Conclusion: In Brazil, it was possible to observe that the web search trends related to oral health issues investigated were greater during the COVID-19 outbreak than in the previous year.

Objetivo: Comparar as tendências de pesquisa na web relacionadas a problemas de saúde bucal durante o surto de COVID-19 com o ano anterior, com foco em trauma dentário (TD), bruxismo (BX) e dor de dente (DD). Métodos: Foi um estudo infodemiológico realizado com a ferramenta Google Trends. Termos populares relacionados aos problemas de saúde bucal investigados foram usados ​​em português para recuperar os volumes relativos de pesquisa (RSV) normalizados pelo algoritmo. O período do caso consistiu em dados referentes ao intervalo de 12 de dezembro de 2019 a 12 de dezembro de 2020, enquanto o período de controle referiu-se ao intervalo de 11 de dezembro de 2018 a 11 de dezembro de 2019. Resultados: Nos períodos de caso e controle, os termos populares relacionados à DD foram significativamente mais pesquisados ​​na web, seguidos pelos termos BX e TD (todos os valores de p<0.05). Houve maior RSV para todos os termos populares relacionados aos problemas de saúde bucal investigados durante o surto de COVID-19 do que no ano anterior (todos os valores de p<0,05), especialmente no terceiro e quarto trimestres. As frequências médias foram significativamente maiores no período do caso para todos os problemas de saúde bucal (todos os valores de p<0,05). Conclusão: No Brasil, foi possível observar que as tendências de buscas na web relacionadas aos problemas de saúde bucal investigados foram maiores durante o surto de COVID-19 do que no ano anterior.

Ensuring the quality and specificity of preregistrations.

Researchers face many, often seemingly arbitrary, choices in formulating hypotheses, designing protocols, collecting data, analyzing data, and reporting results. Opportunistic use of "researcher degrees of freedom" aimed at obtaining statistical significance increases the likelihood of obtaining and publishing false-positive results and overestimated effect sizes. Preregistration is a mechanism for reducing such degrees of freedom by specifying designs and analysis plans before observing the research outcomes. The effectiveness of preregistration may depend, in part, on whether the process facilitates sufficiently specific articulation of such plans. In this preregistered study, we compared 2 formats of preregistration available on the OSF: Standard Pre-Data Collection Registration and Prereg Challenge Registration (now called "OSF Preregistration," http://osf.io/prereg/). The Prereg Challenge format was a "structured" workflow with detailed instructions and an independent review to confirm completeness; the "Standard" format was "unstructured" with minimal direct guidance to give researchers flexibility for what to prespecify. Results of comparing random samples of 53 preregistrations from each format indicate that the "structured" format restricted the opportunistic use of researcher degrees of freedom better (Cliff's Delta = 0.49) than the "unstructured" format, but neither eliminated all researcher degrees of freedom. We also observed very low concordance among coders about the number of hypotheses (14%), indicating that they are often not clearly stated. We conclude that effective preregistration is challenging, and registration formats that provide effective guidance may improve the quality of research.

Availability of substances for use in personal vaporisers on three online cryptomarkets.

BACKGROUND: Personal vaporisers are gaining popularity as an alternative route of administration for a range of substances. Online cryptomarkets are becoming increasingly popular among people who use substances due to their perceived anonymity, ease of use, and reduced risk of violence compared to traditional face-to-face dealers. We examined the diversity of substances marketed for use in a personal vaporiser on these marketplaces. METHODS: Vaping related listings were extracted from three online cryptomarkets ('Agartha', 'Cryptonia', and 'Tochka') using The Onion Router browser. Data collection occurred between October and November 2019. RESULTS: We identified 1929 listings from 201 unique sellers. The top product on Agartha, Cryptonia, and Tochka were vape cartridges prefilled with the e-liquid (70.4 %, 39.4 %, 52.3 % respectively). The most common substance in these products was cannabis oil (96.1 %, 82.1 %, 87.8 %), followed by synthetic cannabinoids (3.7 %, 9.7 %, 9.8 %) and psychedelic substances (0.2 %, 6.4 %, 1.2 %). Vendors were primarily from the USA. Many products offered worldwide shipping (96.3 %, 42.4 %, 51.2 %). CONCLUSION: Vaping products listed on online cryptomarkets in 2019 primarily contained cannabis oils. Future studies should continue to examine cryptomarkets to identify emerging trends of substances that can be used in personal vaporisers.

Incidence of Traumatic Spinal Fractures in the Netherlands: Analysis of a Nationwide Database.

STUDY DESIGN: Retrospective database study based on prospectively collected data. OBJECTIVE: The aim of this study was to describe the current incidence and epidemiology of traumatic spinal fractures in the Netherlands SUMMARY OF BACKGROUND DATA.: Traumatic spinal fractures may lead to severe disability and have considerable consequences on healthcare capacity and costs. Several studies have reported a large and increasing share of fractures in elderly. Currently, a reliable, detailed, and up to date incidence of these injuries in the Netherlands is lacking. These numbers could aid in the composition of preventative measures. METHODS: All patients from 2010 to 2017 that were admitted with a spinal fracture were included. Patients were selected based on Abbreviated Injury Scores (AIS) codes. Collected data consisted of patient- and injury characteristics, afflicted spine-region, associated injury, referral- and discharge location, and geographic region of admittance. RESULTS: Overall, 29,637 patients were included in this study. The incidence of spinal fractures increased from 2010 to 2017 (from 21.5 to 24.0 per 100,000 inhabitants). Most patients were injured by a (low-energy) fall from the same level followed by (high-energy) traffic accidents. Elderly patients (≥65 years of age) made up 42% of all patients. The proportion of elderly increased significantly faster over the years compared to younger patients. More than half of polytrauma (injury severity score ≥16) patients had fractures in multiple spine regions. 5,5% of all patients suffered spinal cord injury (SCI), most often associated with cervical fractures in polytrauma patients. Regional differences were found mainly in presentation through referral and low- and high-energy falls. CONCLUSION: The incidence of patients with spinal fractures increased and elderly made up a large part. Preventative measures could be regional dependent and should focus on low-energy falls, traffic accidents, and bicycle accidents in specific. In polytraumatized patients there should be special attention for any additional spine fractures and SCI. LEVEL OF EVIDENCE: 3.

Virtual reality as a clinical tool in mental health research and practice
.

Virtual reality (VR) is a potentially powerful technology for enhancing assessment in mental health. At any time or place, individuals can be transported into immersive and interactive virtual worlds that are fully controlled by the researcher or clinician. This capability is central to recent interest in how VR might be harnessed in both treatment and assessment of mental health conditions. The current review provides a summary of the advantages of using VR for assessment in mental health, focusing on increasing ecological validity of highly controlled environments, enhancing personalization and engagement, and capturing real-time, automated data in real-world contexts. Considerations for the implementation of VR in research and clinical settings are discussed, including current issues with cost and access, developing evidence base, technical challenges, and ethical implications. The opportunities and challenges of VR are important to understand as researchers and clinicians look to harness this technology to improve mental health outcomes.
.

La realidad virtual (RV) es una tecnología potencialmente poderosa para mejorar la evaluación en salud mental. En cualquier momento o lugar, las personas pueden ser transportadas y quedar inmersos en mundos virtuales interactivos que están totalmente controlados por el investigador o el clínico. Esta capacidad es parte fundamental del interés reciente por la manera en cómo se podría aprovechar la RV tanto en el tratamiento como en la evaluación de las condiciones de salud mental. Esta revisión proporciona un resumen de las ventajas del empleo de la RV para la evaluación en salud mental, enfocándose en el aumento de la validez ecológica de entornos altamente controlados, en mejorar la personalización y el compromiso, y capturar datos automatizados en tiempo real en contextos del mundo real. Se discuten las consideraciones para la implementación de la realidad virtual en investigación y en situaciones clínicas, incluidos los problemas actuales de costo y acceso, el desarrollo en base a la evidencia, los desafíos técnicos y las implicancias éticas. Es importante comprender las oportunidades y los desafíos de la realidad virtual, ya que los investigadores y los médicos buscan aprovechar esta tecnología para mejorar los resultados de salud mental.

L'évaluation de la santé mentale pourrait bénéficier de la puissance de la technologie de la réalité virtuelle (RV). Les sujets peuvent être transportés en immersion à tout moment ou en tout lieu dans des mondes virtuels interactifs totalement contrôlés par le chercheur ou le médecin. C'est ce qui motive l'intérêt récent sur la façon d'exploiter la RV à la fois dans le traitement et l'évaluation des maladies mentales. Notre présentation résume les avantages de la RV dans ce cadre ; elle est centrée sur la validité écologique renforcée des environnements très contrôlés, sur une meilleure personnalisation et participation du sujet, et sur la saisie de données automatisées en temps et contextes réels. Nous analysons les conditions de l'introduction de la RV en recherche et en clinique, y compris les enjeux actuels de coût et d'accès, le développement d'une base de données, les défis techniques et les questions éthiques. Chercheurs et médecins souhaitent expérimenter la réalité virtuelle pour améliorer les résultats dans le contexte de la santé mentale, il est donc important d'en comprendre les opportunités et les difficultés.

Nursing Care Delivery Redesign: Using the Right Data to Make the Right Decisions.

BACKGROUND: In British Columbia, the Nursing Policy Secretariat of the Ministry of Health recently issued a series of priority nursing recommendations, including team-based care delivery models. AIM: This paper will describe the data collection and analysis phase of a quality improvement initiative focused on care delivery redesign within three healthcare organizations. The focus of the care delivery redesign was a transition from total nursing care to team-based nursing care. METHODS: Our leadership-academic partnership used the Canadian Nurses Association's "Staff Mix Decision-Making Framework for Quality Nursing Care" to guide data collection and analysis on patient, nurse and organizational factors. Data were collected by nurse-led project teams using a patient needs assessment tool, surveys of nurses' scope of practice and teamwork and an environmental profile tool with nurse demographics and unit/facility-level characteristics. RESULTS: Findings from one organization's pediatric medicine and surgery units are presented in this paper. CONCLUSION: Quality improvement data provide multiple opportunities for proactive human resource planning and professional development. Resources and examples are provided to guide others' redesign efforts.