Descriptive Insights Research Articles

Impact of telehealth implementation on medical non-consultant hospital doctors training experience

Telehealth is defined as the provision of health care services over a distance. Major health systems, including outpatient clinics and check-ups alike, turned to telehealth and teleconsultation amid the COVID19 pandemic. There are many recognized advantages of telehealth and its increasing implementation, however, not much is known about the specific impact of remote consultation on the quality of non-consultant hospital doctors (NCHD) training experiences in medicine. This study aimed to gain rich descriptive insights into the specific impact of remote consultation on the quality of medical NCHD training experiences and their perceptions, through purposeful sampling. Data was collected via semi-structured virtual interviews of fifteen NCHD participants. The interviews were recorded, transcribed and analysed using thematic analysis. The collective transcripts were analysed using NVIVO data software for common themes. The themes identified suggested that there were both advantages and disadvantages to telehealth and its impact on training across a spectrum of entities including; doctor-patient relationships, peer relationships, service provision, work morale, working hours, clinical skills experience and general feedback as a trainee. NCHD perspectives expressed were mixed across all themes. Further research is recommended to advance understanding of the potential impact of telehealth on current and prospective doctors in training. With a greater understanding of general insights, future changes, including telehealth training programmes, could be implemented to build confidence and familiarity with telehealth utilization and potentiate its conceivable benefits.

Detection and classification of surface defects on hot-rolled steel using vision transformers

This study proposes a vision transformer to detect visual defects on steel surfaces. The proposed approach utilizes an open-source image dataset to classify steel surface conditions into six fault categories namely, crazing, inclusion, rolled in, pitted surface, scratches and patches. The defect images are first subject to resizing and then fed into a vision transformer subject to different hyperparameter configurations to determine the most optimal setting to render highest classification performance. The performance of the model is evaluated for different hyperparameter configurations, and the most optimal configuration is examined using the associated confusion matrices. It was observed that the proposed model presents a high overall accuracy of 96.39 % for detection and classification of steel surface faults. The study presents a descriptive insight into the vision transformer architecture and in addition, compares the performance of the current model with the results of other approaches suggested for application in literature. Vision transformers can serve as standalone approaches and suitable alternatives to the widely used convolution neural networks (CNNs) by actuating complex defect detection and classification tasks in real-time, enabling efficient and robust condition monitoring of a wide range of defects.

Target Situation Needs Analysis of English Language Skills Required by Syrians in the Arabian Gulf Area

The English language has always been a barrier facing Syrians who aim to find a better life and job opportunities in countries where English has excellent value. This research paper investigates and analyzes the linguistic skills needed by Syrians who are part of the field of business in the Arabian Gulf countries. The study utilizes a mixed-method approach for collecting data and analyzing it through a questionnaire and interviews. This research aims to specify the specific English language needs of Syrian students in countries where English is drastically needed for life and business to help design online English for Business course that aligns with those needs. The study aims to provide descriptive insights into the linguistic challenges faced by Syrian students and to propose recommendations for curriculum development in English for Business. The findings of this study can be useful for English language teachers, developers of curriculums, and policymakers.

Investment in tax haven jurisdiction by Indian MNCs: a conceptual study

PurposeThis study aims to understand the investments made by Indian MNCs in different tax havens to optimize their tax liabilities. The study also aims to provide insights into the conceptual framework of such practices, highlighting potential benefits and risks and providing policy recommendations that promote transparency, fairness and sustainable economic practices.Design/methodology/approachThe study involves a combination of quantitative and qualitative approaches. The quantitative aspect analyzes investments made by Nifty 50 companies in tax haven jurisdictions from the financial data of the parent company from 2019 to 2023. The qualitative aspect involves a conceptual framework developed from previous studies and examining the role of various organizations in combating tax avoidance. This mixed-method approach enables a comprehensive understanding of the motivations, impacts and regulatory responses related to the use of tax havens.FindingsThe paper provides conceptual and descriptive insights on investments made by Indian MNCs in tax havens during 2019–21 to save tax. The study suggests that while investing in tax havens, businesses give more priority to ease of doing business and other considerations such as a lower tax rate.Research limitations/implicationsThe present study suggests policymakers about the effectiveness of current tax laws and their enforcement, highlighting loopholes and potential avenues for modification.Originality/valueThis paper assesses the reasons for Indian MNCs starting subsidiaries and making investments in different tax haven jurisdictions and suggests appropriate measures to avoid the menace of tax havens.

The Physiology of Vocal Damping: Historical Overview and Descriptive Insights in Professional Singers

Summary/ObjectiveVocal damping has been historically described as a distinctive phonatory glottic behavior where the posterior part of the vocal folds is strongly adducted and vibration occurs in the anterior part. The aim of the present descriptive study is to analyze anterior glottis phonation patterns in professional singers through a multidimensional approach, in order to better understand the physiological underpinnings of vocal damping and their relation to glottic vibratory mechanisms. MethodsTen professional singers (five males and five females) with no vocal complaints were recruited. Each subject was asked to produce ascending and descending glissandos in a spontaneous way; sustained vowels and little sung fragments in vocal fry, chest voice, falsetto, and whistle register. Each singer was asked to produce – where possible – damping sounds.A multidimensional investigation including acoustic analysis, electroglottography and videolaryngostroboscopy was carried out. ResultsAmong the enrolled singers, nine out of ten successfully produced vocalizations with a typical anterior-vibrating glottic pattern indicative of damping. All nine singers achieved a damping glottic configuration when vocalizing in the falsetto register and five were consciously able to switch between a full-glottic falsetto and a damping falsetto upon request. Three male and two female singers were able to produce a damping glottic configuration while emitting whistle notes. Three male singers demonstrated damping glottic configurations when producing chest notes in a belting style. ConclusionsIn conclusion, it is possible to state that damping is an existing and documentable glottic behavior, with a wide range of manifestations across vocal registers. The present preliminary study describes damping in the domains of chest voice, falsetto and whistle register. A proper damping phenomenon, defined as the modification of the glottic vibratory boundaries according to pitch variations, is described for M2 emissions, both in male and female larynx. The analysis of passaggio patterns allows to describe damping-M2 as a possible vibratory sub-mechanism.

Enhancing E-learning effectiveness: a process mining approach for short-term tutorials

AbstractThe rise of e-learning systems has revolutionized education, enabling the collection of valuable students’ activity data for continuous improvement. While existing studies have predominantly focused on prolonged learning paths, short-term tutorials offer a flexible and efficient alternative that is recently gaining increasing popularity. This article presents a methodology for investigating e-learning systems for short-term tutorials leveraging user behavior tracking and process mining techniques. A case study involving a web-based tutorial with approximately one hour of learning explores the learning processes of 250 students in Italy. The study analyzes learning outcomes and investigates the impact of different learning paths on student progress. The research questions concern i) the extraction of activity flows in short-term tutorials; ii) the prediction of outcomes in the early stages of short-term learning process. The proposed approach provides descriptive insights into the learning process which can also be used to offer prescriptive guidance.

The best way to the trap: An ecological study of coffee berry borer (Hypothenemus hampei) preference to several volatile compounds

This study explored the effectiveness of ethanol and methanol as attractants for controlling the coffee berry borer (CBB), Hypothenemus hampei Ferr 1867, a significant pest in global coffee plantations. The research aimed to assess the efficiency of these substances as attractant traps for CBB in Kaliselogiri, Banyuwangi, Indonesia. Using a single-factor randomized block design, the experiment involved nine treatments, each replicated three times, with modified PTE traps of 2 L volume set up at 1.5 m height. Traps were checked weekly to monitor CBB attack intensity before and after applying attractants. Statistical analyses including the Mann-Whitney Non-parametric test and Duncan’s test were used to examine variations across blocks and weeks. Abundance boxplot graphs offered descriptive insights. Over six weeks, 14,044 CBB’s were captured. The peak was in the third week, with a decline in the fourth, followed by a resurgence until the end of the study. The Mann-Whitney U test showed a significant p-value (p = 0.000; confidence level = 5%), confirming the effectiveness of the attractants on CBB. Of the treatments, K6 (Ethanol: Methanol = 2:1) was most effective. Ethanol and methanol proved to be efficient lures in CBB management traps, with ethanol particularly effective in larger compositions, suggesting its wider application. These results support the use of attractant-based strategies for CBB control and highlight the importance of ethanol and methanol. Further research is needed to optimize attractant compositions and assess long-term impacts on CBB populations and agroecosystems. The ecological consequences, including potential effects on non-target species and overall sustainability, warrant further investigation. In summary, this study advances CBB management through attractant-based traps, emphasizing the importance of ethanol.

The best way to the trap: An ecological study of coffee berry borer (Hypothenemus hampei) preference to several volatile compounds

This study explored the effectiveness of ethanol and methanol as attractants for controlling the coffee berry borer (CBB), Hypothenemus hampei Ferr 1867, a significant pest in global coffee plantations. The research aimed to assess the efficiency of these substances as attractant traps for CBB in Kaliselogiri, Banyuwangi, Indonesia. Using a single-factor randomized block design, the experiment involved nine treatments, each replicated three times, with modified PTE traps of 2 L volume set up at 1.5 m height. Traps were checked weekly to monitor CBB attack intensity before and after applying attractants. Statistical analyses including the Mann-Whitney Non-parametric test and Duncan’s test were used to examine variations across blocks and weeks. Abundance boxplot graphs offered descriptive insights. Over six weeks, 14,044 CBB’s were captured. The peak was in the third week, with a decline in the fourth, followed by a resurgence until the end of the study. The Mann-Whitney U test showed a significant p-value (p = 0.000; confidence level = 5%), confirming the effectiveness of the attractants on CBB. Of the treatments, K6 (Ethanol: Methanol = 2:1) was most effective. Ethanol and methanol proved to be efficient lures in CBB management traps, with ethanol particularly effective in larger compositions, suggesting its wider application. These results support the use of attractant-based strategies for CBB control and highlight the importance of ethanol and methanol. Further research is needed to optimize attractant compositions and assess long-term impacts on CBB populations and agroecosystems. The ecological consequences, including potential effects on non-target species and overall sustainability, warrant further investigation. In summary, this study advances CBB management through attractant-based traps, emphasizing the importance of ethanol.

The Information and Communication Technology Maturity Assessment at Primary Health Care Services Across 9 Provinces in Indonesia: Evaluation Study.

Indonesia has rapidly embraced digital health, particularly during the COVID-19 pandemic, with over 15 million daily health application users. To advance its digital health vision, the government is prioritizing the development of health data and application systems into an integrated health care technology ecosystem. This initiative involves all levels of health care, from primary to tertiary, across all provinces. In particular, it aims to enhance primary health care services (as the main interface with the general population) and contribute to Indonesia's digital health transformation. This study assesses the information and communication technology (ICT) maturity in Indonesian health care services to advance digital health initiatives. ICT maturity assessment tools, specifically designed for middle-income countries, were used to evaluate digital health capabilities in 9 provinces across 5 Indonesian islands. A cross-sectional survey was conducted from February to March 2022, in 9 provinces across Indonesia, representing the country's diverse conditions on its major islands. Respondents included staff from public health centers (Puskesmas), primary care clinics (Klinik Pratama), and district health offices (Dinas Kesehatan Kabupaten/Kota). The survey used adapted ICT maturity assessment questionnaires, covering human resources, software and system, hardware, and infrastructure. It was administered electronically and involved 121 public health centers, 49 primary care clinics, and 67 IT staff from district health offices. Focus group discussions were held to delve deeper into the assessment results and gain more descriptive insights. In this study, 237 participants represented 3 distinct categories: 121 public health centers, 67 district health offices, and 49 primary clinics. These instances were selected from a sample of 9 of the 34 provinces in Indonesia. Collected data from interviews and focus group discussions were transformed into scores on a scale of 1 to 5, with 1 indicating low ICT readiness and 5 indicating high ICT readiness. On average, the breakdown of ICT maturity scores was as follows: 2.71 for human resources' capability in ICT use and system management, 2.83 for software and information systems, 2.59 for hardware, and 2.84 for infrastructure, resulting in an overall average score of 2.74. According to the ICT maturity level pyramid, the ICT maturity of health care providers in Indonesia fell between the basic and good levels. The need to pursue best practices also emerged strongly. Further analysis of the ICT maturity scores, when examined by province, revealed regional variations. The maturity of ICT use is influenced by several critical components. Enhancing human resources, ensuring infrastructure, the availability of supportive hardware, and optimizing information systems are imperative to attain ICT maturity in health care services. In the context of ICT maturity assessment, significant score variations were observed across health care levels in the 9 provinces, underscoring the diversity in ICT readiness and the need for regionally customized follow-up actions.

The 2024 General Elections in Indonesia: Issues of Political Dynasties, Electoral Fraud, and The Emergence of A National Protest Movements

This research aims to explain the phenomenon of political dynasties, electoral fraud, and protest movements during the 2024 General Elections in Indonesia. By using a qualitative descriptive method, this research focuses on aspects related to the main factors of the emergence of political dynasties, electoral fraud, and protest movements in the 2024 election based on secondary data obtained from online news sources. Data collection process was carried out through reading the news articles using the keywords “political dynasties”, “electoral fraud”, “protest movements”, and “2024 General Elections”. Data analysis was conducted through content analysis of news texts to obtain accurate data, descriptive insights and thematically explore the data inductively. The findings in this study show that the issues of political dynasties, electoral fraud, and the national protest movements in the 2024 General Elections are a series of interconnected phenomena. In addition, this study also reccomends further research on the importance of understanding public perceptions of political dynasties, the issue of electoral fraud, and protest actions against active voters in the 2024 General Elections using an empirical approach.

Is Primary Care Patient Experience Associated with Provider-Patient Language Concordance and Use of Interpreters for Spanish-preferring Patients: A Systematic Literature Review.

Healthcare provided by a bilingual provider or with the assistance of an interpreter improves care quality; however, their associations with patient experience are unknown. We reviewed associations of patient experience with provider-patient language concordance (LC) and use of interpreters for Spanish-preferring patients. We reviewed articles from academic databases 2005-2023 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and Joanna Briggs Institute Checklists to rate study quality. We reviewed 217 (of 2193) articles, yielding 17 for inclusion. Of the 17 included articles, most articles focused on primary (n = 6 studies) or pediatric care (n = 5). All were cross-sectional, collecting data by self-administered surveys (n = 7) or interviews (n = 4). Most assessed the relationship between LC or interpreter use and patient experience by cross-sectional associations (n = 13). Two compared subgroups, and two provided descriptive insights into the conversational content (provider-interpreter-patient). None evaluated interventions, so evidence on effective strategies is lacking. LC for Spanish-preferring patients was a mix of null findings (n = 4) and associations with better patient experience (n = 3) (e.g., receiving diet/exercise counseling and better provider communication). Evidence on interpreter use indicated better (n = 2), worse (n = 2), and no association (n = 2) with patient experience. Associations between Spanish-language preference and patient experience were not significant (n = 5) or indicated worse experience (n = 4) (e.g., long waits, problems getting appointments, and not understanding nurses). LC is associated with better patient experience. Using interpreters is associated with better patient experience but only with high-quality interpreters. Strategies are needed to eliminate disparities and enhance communication for all Spanish-preferring primary care patients, whether with a bilingual provider or an interpreter.

FIGURATIVE LANGUAGE AND SPEECH ACTS IN "THE ADVENTURES OF SHERLOCK HOLMES": A STUDY ON DESCRIPTIVE TEXTS

Abstract This study explores the intricacies of figurative language and speech acts within five selected short stories from "The Adventures of Sherlock Holmes." Through a qualitative analysis grounded in the theories of Austin and Searle for speech acts, and further supported by the descriptive insights of figurative language as discussed by Adiwangsa Sakinah (2023) and Ampa Quraisy (2018), this research aims to identify the dominant types of speech acts and the underlying meanings conveyed through figurative expressions. The methodology encompasses content analysis, with the researcher herself acting as the primary instrument, supplemented by digital tools for text examination. The findings reveal the prevalence of directive, expressive, and representative speech acts manifested in similes, metaphors, and metonyms, underscoring the significance of these linguistic features in enhancing the interpretative richness of literary texts. This study contributes to the broader discourse on linguistic analysis in literature, offering insights into the dynamic interplay between language form and function, and its educational implications in English Language and Arts curricula.

PEACE EDUCATION AT THE REPUBLIC OF INDONESIA DEFENSE UNIVERSITY IN INCREASING WORLD PEACE

In the context of dynamic changes in global security issues, the important role of peace education at the Republic of Indonesia Defense University (RIDU) is becoming increasingly prominent as a key factor in strengthening efforts to achieve world peace. Through educational programs that are holistic, proactive, and solution-oriented, the RIDU is committed to building an in-depth understanding of the importance of cooperation, dialogue, and peaceful conflict resolution to create broad positive impacts in reducing tensions and promoting sustainable peace at the global level. The main objectives of this qualitative study were to explore the important role of peace education at the RIDU in supporting and encouraging efforts to achieve world peace. The qualitative research approach was chosen to delve deeply into the nuances and complexities of peace education at the Republic of Indonesia Defense University. This approach provides rich, descriptive insights that are invaluable in understanding the intrinsic values, beliefs, and practices of those engaged in promoting peace. The discussion on efforts to build peace education holistically is carried out with three main pillars: increasing educational capacity, socializing peace education standards in the defense discipline, and establishing education standards and quality education personnel in the field of peace. The conclusions from this article are in carrying out peace education, it is necessary to increase the capacity of education, and socialization of peace education standards in the discipline of defense

Effectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels

Learning Analytics Dashboards (LADs) are gaining popularity as a platform for providing students with insights into their learning behaviour patterns in online environments. Existing LAD studies are mainly centred on displaying students’ online behaviours with simplistic descriptive insights. Only a few studies have integrated predictive components, while none possess the ability to explain how the predictive models work and how they have arrived at specific conclusions for a given student. A further gap exists within existing LADs with respect to prescriptive analytics that generate data-driven feedback to students on how to adjust their learning behaviour. The LAD in this study attempts to address this gap and integrates a full spectrum of current analytics technologies for sense-making while anchoring them within theoretical educational frameworks. This study’s LAD (SensEnablr) was evaluated for its effectiveness in impacting learning in a student cohort at a tertiary institution. Our findings demonstrate that student engagement with learning technologies and course resources increased significantly immediately following interactions with the dashboard. Meanwhile, results showed that the dashboard boosted the respondents’ learning motivation levels and that the novel analytics insights drawn from predictive and prescriptive analytics were beneficial to their learning. This study, therefore, has implications for future research when investigating student outcomes and optimizing student learning using LAD technologies.

Dual Branding by National Brand Manufacturers: Drivers and Outcomes

This article is the first generalizable empirical analysis of dual branding, that is, the supply of private labels (PLs) by national brand (NB) manufacturers. The authors compile a unique data set combining the identity of PL suppliers in over 260 packaged goods categories with multiple years of scanner data in the Spanish grocery market to offer several contributions. First, they provide new descriptive insights on the prevalence of dual branding in categories where the manufacturer does and does not have NBs, the longevity of PL supply arrangements, and the differences in PL sourcing across retailers. Second, they integrate the literature on motivators and dissuaders of dual branding and test the impact of relevant manufacturer, retailer, and dyad characteristics on PL supply in NB and non-NB categories. The results reveal a more nuanced empirical reality than is evident from prior research regarding the role of multicategory scope, fighter brands, NB differentiation, and size and positioning of the retailer's PL. Third, they examine the outcomes of PL supply for the NBs of dual branders and find that starting (terminating) PL supply to a retailer significantly benefits (hurts) the relative distribution depth but not the relative share of the dual brander's NBs at that retailer.

Changes in doctoral graduates' employment and doctoral students' views of their future career in Japan in 2012–2018

AbstractThis study investigates the employment landscape and career expectations of doctoral graduates in Japan through the analysis of three national surveys conducted in 2012, 2015 and 2018. The research explores the changing factors influencing graduates' employment destinations during this period, encompassing changes by discipline and proposing strategies to address challenges faced by these graduates. Unlike previous studies, which predominantly focussed on analysing data and interviewing students, this research offers both descriptive insights and analytical perspectives on Japanese doctoral education. Key findings include an increase in doctoral graduates employed in universities and the private sector, while academia employment varies by discipline. Humanities exhibit the highest academic employment, while engineering shows diverse fluctuations. Additionally, career expectations shift, with declining interest in tenure positions and growing inclination towards non‐academic paths. The study identifies challenges stemming from shifting academic appeal, skill mismatches, sector concentration and field‐specific hurdles, providing insights into global trends while emphasizing Japan's unique complexities.

Relationship between climate change and tourism: an integrative review

ABSTRACT The relationship between tourism and climate change has been explored and studied for a considerable amount of time. In the past quarter-century, more specialised research has emerged, and most recently, the subject of adaptation has been highlighted as an essential study requirement in tourism and climate change studies. This study offers a comprehensive literature assessment on climate change and tourism to date. We did a Boolean-based search on Scopus and got 703 records, which were then analysed bibliometrically using the bibliometrix package of R. It covers adaptation issues, the characteristics of vulnerability in a tourism setting, and the ramifications of such research for local communities. This study illustrates the difficulties associated with the interdependence of climate change and tourism by presenting the most relevant authors, countries, key terms, and research fields. In addition to descriptive insights into the field, we provide the conceptual framework (keyword analysis and thematic map). In addition to bibliometrically evaluating the publications, we closely reviewed the sample studies to gain a more comprehensive picture of the literature on climate change and tourism. Our evaluation reveals significant knowledge gaps and offers future research and policy objectives. Our study has suggested multiple research avenues for this topic.

A bibliometric journey into research trends in curriculum field: Analysis of two journals

The field of curriculum is characterized by its porous and evolving boundaries, which are influenced by ongoing shifts in sociological, technological, scientific, and political domains. Given this dynamic context, the field necessitates continuous advancements to address these evolving trends. Consequently, its scope and prevailing research foci are subject to change, thereby shaping curricular adaptations. The primary objective of this study is to delineate the contemporary scope of curriculum studies by examining prevailing topics of discourse. Research articles published in two selected journals—Curriculum Inquiry and Journal of Curriculum Studies—were analyzed to achieve this. These journals were chosen for their alignment with the study's objective and were employed as primary data sources. A bibliometric analysis was conducted on data harvested from these publications, utilizing descriptive statistics through the Web of Science (WoS) system as an initial analytical step. Subsequently, VOSviewer software was employed for advanced bibliometric analyses. The study's findings offer both visual and descriptive insights into how the thematic focus within curriculum studies has shifted over time. Notably, recent discussions within the field underscore the exigency for democratic curriculum reforms. Moreover, the issues addressed by the selected journals closely align with current societal challenges.

State policy and local resilience: evaluating state policies for flood resilience in the Great Lakes region of the United States

ABSTRACT Flood resilience policy and planning are highly localized in the United States (US) and many parts of the world, with local governments responsible for a wide range of land use and infrastructure investment decisions that drive flood risk and response. However, many local governments lack the resources to plan for and adapt to increased flooding without external support. State governments can help by promulgating rules and providing guidance and resources that make flood resilience planning at the local level easier, more likely, and more equitable. However, very little is known about the programmes and policies US states can and do develop to support local flood resilience, how much these programmes and policies vary between states, and the extent to which states are going beyond required or standard practice. In this study, we develop an evaluation framework for state flood policies and programmes that captures the types of programmes and policies used by states in the US, distinguishing between required or standard practices and more advanced approaches. We use a numeric scoring system to operationalize four distinct categories of state policy: information provision, planning guidance, regulations and standards, and funding and financing. The scoring system accounts for whether states incorporate climate change and social equity into their resources. We then apply the framework and scoring system to the eight states of the Great Lakes region: Illinois, Indiana, Michigan, Minnesota, New York, Ohio, Pennsylvania, and Wisconsin. Our findings demonstrate both the consistencies and variation in state-level flood management programmes and policies, identify policy leaders in the region, and reveal areas where states can prioritize further investment and policy development for better flood risk management. The study provides an evaluation framework for scholars and practitioners of subnational flood policies and programmes, and descriptive insights into the status of state-level flood resilience policy and planning in the Great Lakes region.

Detection and Management of Intraocular Inflammation after Brolucizumab Treatment for Neovascular Age-Related Macular Degeneration

To present interim descriptive insights from the OCTOPUS and SWIFT studies on incidence, clinical features, management, and outcomes of intraocular inflammation (IOI), vasculitis, and occlusive vasculitis with brolucizumab treatment (Beovu, Novartis) in patients with neovascular age-related macular degeneration (nAMD) who were anti-VEGF naive or pretreated with anti-VEGFs (ranibizumab or aflibercept). OCTOPUS (NCT04239027) and SWIFT (NCT04264819) studies are prospective phase IIIb single-arm, open-label, multicenter studies assessing brolucizumab. Anti-VEGF naive (OCTOPUS) and pretreated (SWIFT) patients with nAMD. Interim prespecified analysis on the efficacy end point provided an opportunity to analyze IOI-related safety. Reports of IOI-related adverse events (AEs) were reviewed, and AE images and clinical features and outcomes of each case were analyzed by a review committee. Of 505 brolucizumab-treated eyes/patients with median brolucizumab treatment of 8.8 months, 53 eyes demonstrated at least 1 IOI-related AE. The incidence of overall IOI-related AEs was 10.5%; among these events, the incidence was 7.1% for IOI only without retinal involvement and 3.4% for IOI with retinal involvement (2.0% with vasculitis, 1.4% with vascular occlusion with or without vasculitis). Incidence was similar in naive and pretreated patients. Before the onset of the first IOI-related AE, eyes received a median of 2 brolucizumab injections; 81.1% of IOI-related AEs occurred during the loading phase (median, 25.0 days from the last brolucizumab injection). At AE onset, most frequently reported symptoms were floaters (52.8%) and blurred or decreased vision (37.8%). Of the 86.8% of AEs that were treated, most were treated with topical corticosteroids (75.5%), 28.3% by systemic corticosteroids, and 26.8% by intraocular corticosteroids. No severe vision loss was reported for the 7 nontreated AEs. Overall, the median best-corrected visual acuity (BCVA) change at IOI-related AEs resolution from baseline was 1 letter (range,-74 to+32 letters), and 2 patients with occlusive vasculitis had BCVA loss ≥ 15 letters due to IOI-related AEs. All eyes permanently discontinued brolucizumab after the first IOI-related AE. This analysis highlights the need for monitoring and education of patients to report any signs of IOI-related events immediately when being treated with brolucizumab. IOI should be treated promptly and intensely with corticosteroids. Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.