A generalizable and easy-to-use COVID-19 stratification model for the next pandemic via immune-phenotyping and machine learning.

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has affected billions of people worldwide, and the lessons learned need to be concluded to get better prepared for the next pandemic. Early identification of high-risk patients is important for appropriate treatment and distribution of medical resources. A generalizable and easy-to-use COVID-19 severity stratification model is vital and may provide references for clinicians. Methods: Three COVID-19 cohorts (one discovery cohort and two validation cohorts) were included. Longitudinal peripheral blood mononuclear cells were collected from the discovery cohort (n = 39, mild = 15, critical = 24). The immune characteristics of COVID-19 and critical COVID-19 were analyzed by comparison with those of healthy volunteers (n = 16) and patients with mild COVID-19 using mass cytometry by time of flight (CyTOF). Subsequently, machine learning models were developed based on immune signatures and the most valuable laboratory parameters that performed well in distinguishing mild from critical cases. Finally, single-cell RNA sequencing data from a published study (n = 43) and electronic health records from a prospective cohort study (n = 840) were used to verify the role of crucial clinical laboratory and immune signature parameters in the stratification of COVID-19 severity. Results: Patients with COVID-19 were determined with disturbed glucose and tryptophan metabolism in two major innate immune clusters. Critical patients were further characterized by significant depletion of classical dendritic cells (cDCs), regulatory T cells (Tregs), and CD4+ central memory T cells (Tcm), along with increased systemic interleukin-6 (IL-6), interleukin-12 (IL-12), and lactate dehydrogenase (LDH). The machine learning models based on the level of cDCs and LDH showed great potential for predicting critical cases. The model performances in severity stratification were validated in two cohorts (AUC = 0.77 and 0.88, respectively) infected with different strains in different periods. The reference limits of cDCs and LDH as biomarkers for predicting critical COVID-19 were 1.2% and 270.5 U/L, respectively. Conclusion: Overall, we developed and validated a generalizable and easy-to-use COVID-19 severity stratification model using machine learning algorithms. The level of cDCs and LDH will assist clinicians in making quick decisions during future pandemics.

Lessons Learned from the Implementation of Youth Wellness Hubs Ontario, an Integrated Youth Services Network: Perspectives from Network Leads.

Introduction: Mental health and substance use services for youth in Canada continue to be fragmented. In response, Integrated Youth Services (IYS) has been proposed to address gaps in youth mental health services that can lead to improved youth outcomes. Youth Wellness Hubs Ontario (YWHO) was launched in 2017 as Ontario's IYS Network for youth ages 12-25, prioritizing continuous improvement through evaluation. Description: At the end of the first three years of the YWHO initiative, an evaluation was carried out to identify the barriers and facilitators to the initial implementation of YWHO and service delivery modifications resulting from the COVID-19 pandemic across ten sites. Reporting on these is the focus of this article. Key informant interviews were conducted in early 2021 with Network Leads from all ten initial YWHO sites. Reflexive thematic analysis was used to analyze all interview data. Discussion: Facilitators to the implementation of the YWHO model included diversified funding models, YWHO Provincial Office implementation supports, clear hub processes, robust community partnerships, organizational support and dedicated staff. Common barriers included certain challenges related to staffing and finances, implementation of the shared data collection platform, implementation of measurement-based care, partnerships, integrated service delivery, and branding and communications. Conclusion: Implementation of IYS is highly collaborative and quite complex. As interest in such models increase, so does the need for knowledge related to optimal implementation. Learnings have informed developments and improvements made to the YWHO model. Insights will also inform how stakeholders support youth in their communities in designing and implementing services that improve youth mental health and overall well-being.

COVID-19 Mitigation in a K-12 School Setting: A Case Study of Avenues: The World School in New York City.

In this case study, we describe a well-resourced private school in New York City that implemented COVID-19 mitigation measures based on public health expert guidance and the lessons learned from this process. Avenues opened in New York City in 2012 and has since expanded, becoming Avenues: The World School, with campuses in São Paulo, Brazil; Shenzhen, China; the Silicon Valley, California; and online. It offers education at 16 grade levels: 2 early learning years, followed by a prekindergarten through grade 12. We describe the mitigation measures that Avenues implemented on its New York campus. We compare COVID-19 case prevalence at the school with COVID-19 case positivity in New York City, as reported by the New York State Department of Health. We also compare the school's indoor air quality to ambient indoor air quality measures reported in the literature. The school's mitigation measures successfully reduced the prevalence of COVID-19 among its students, staff, and faculty. The school also established a consistently high level of indoor air quality safety through various ventilation mechanisms, designed to reduce common indoor air pollutants. The school received positive parent and community feedback on the policies and procedures it established, with many parents commenting on the high level of trust and quality of communication established by the school. The successful reopening provides useful data for school closure and reopening standards to prepare for future pandemic and epidemic events.

Implications and Lessons Learned While Using Social Media Advertisements to Promote Longitudinal Social Network Study Participation in Latino Men Who Have Sex with Men (LMSM): A Brief Report.

We assess the effectiveness of paid ads on social media platforms as a research recruitment tool with Latino men who have sex with men (LMSM). We deployed four paid ad campaigns July-September 2022 in English and Spanish on Meta and Grindr featuring happy or risqué images of LMSM, documenting engagement and cost metrics. The four campaigns generated a total of 1,893,738 impressions and 1078 clicks (0.057 click-through rate) with a total cost of $7,989.39. Of the 58 people who accessed the study screener, 31 completed it (53.4%), 13 were eligible (22.4%), but none enrolled. Comparing platforms, Meta had higher engagement metrics than Grindr, while Grindr had higher proportions of those who completed the screener (57.9%) and were eligible (26.3%) than Meta (52.6% and 21.0%, respectively). Challenges to using paid ads as an LMSM recruitment tool included intersecting pandemics (Mpox, COVID-19), and limited connection between platforms and staff for study enrollment.

Pima County COVID-19 vaccine solutions dashboard project: lessons learned.

Recent improvements in the accessibility of mapping tools and an increased recognition of the importance of leveraging data to inform public health operations has led to enthusiasm among public health departments to rapidly evolve their ability to analyze and apply data to programs. As the COVID-19 pandemic made evident, many health department data systems have been neglected for decades and data literacy among staff low. Significant federal dollars have been allocated to local health departments to modernize health systems. This case study recounts the effort to equip the Pima County Health Department with a highly sophisticated "COVID-19 Vaccines Solutions Dashboard" in 2021-2022, quantifying community vulnerability in the midst of the COVID-19 pandemic and shares key successes and challenges in process and outcomes that can guide other such dashboard initiatives. The experience informed the development of Pima' County Health Department's Data & Informatics Team as well as efforts to cultivate a more robust data culture throughout the department. Many health departments around the United States are in a similar position, and these lessons learned are widely applicable.

Ethics in Mental Health Research with Haitian Migrants: Lessons from a Community-Based Study in Santiago, Chile.

Migration research poses several unique challenges and opportunities. Conducting ethical global health practice, especially when studying migrant mental health, is of particular concern. This article explores seven challenges and lessons learned in our mixed-methods study conducted to assess the impact of the migration experience on Haitian migrants' mental health in Santiago, Chile. The primary challenges were recruiting in a highly mobile population, building trust and community participation, overcoming language barriers, safety considerations during the Covid-19 pandemic, mitigating potential negative impacts of research on the community, providing psychological support, and finding meaningful ways to benefit the community. We propose moving toward a better and more ethical migrant research practice by ensuring language accessibility, hiring community members for the study team, working with local institutions and nongovernmental organizations, and maintaining sustainable connections.

Experiences, Lessons, and Challenges With Adapting REDCap for COVID-19 Laboratory Data Management in a Resource-Limited Country: Descriptive Study.

BACKGROUND: The COVID-19 pandemic brought challenges requiring timely health data sharing to inform accurate decision-making at national levels. In Botswana, we adapted and integrated the Research Electronic Data Capture (REDCap) and the District Health Information System version 2 (DHIS2) platforms to support timely collection and reporting of COVID-19 cases. We focused on establishing an effective COVID-19 data flow at the national public health laboratory, being guided by the needs of health care professionals at the National Health Laboratory (NHL). This integration contributed to automated centralized reporting of COVID-19 results at the Ministry of Health (MOH). OBJECTIVE: This paper reports the experiences, challenges, and lessons learned while designing, adapting, and implementing the REDCap and DHIS2 platforms to support COVID-19 data management at the NHL in Botswana. METHODS: A participatory design approach was adopted to guide the design, customization, and implementation of the REDCap platform in support of COVID-19 data management at the NHL. Study participants included 29 NHL and 4 MOH personnel, and the study was conducted from March 2, 2020, to June 30, 2020. Participants' requirements for an ideal COVID-19 data management system were established. NVivo 11 software supported thematic analysis of the challenges and resolutions identified during this study. These were categorized according to the 4 themes of infrastructure, capacity development, platform constraints, and interoperability. RESULTS: Overall, REDCap supported the majority of perceived technical and nontechnical requirements for an ideal COVID-19 data management system at the NHL. Although some implementation challenges were identified, each had mitigation strategies such as procurement of mobile Internet routers, engagement of senior management to resolve conflicting policies, continuous REDCap training, and the development of a third-party web application to enhance REDCap's capabilities. Lessons learned informed next steps and further refinement of the REDCap platform. CONCLUSIONS: Implementation of REDCap at the NHL to streamline COVID-19 data collection and integration with the DHIS2 platform was feasible despite the urgency of implementation during the pandemic. By implementing the REDCap platform at the NHL, we demonstrated the possibility of achieving a centralized reporting system of COVID-19 cases, hence enabling timely and informed decision-making at a national level. Challenges faced presented lessons learned to inform sustainable implementation of digital health innovations in Botswana and similar resource-limited countries.

The Respiratory Mechanics of COVID-19 Acute Respiratory Distress Syndrome-Lessons Learned?

Acute respiratory distress syndrome (ARDS) is a well-defined clinical entity characterized by the acute onset of diffuse pulmonary injury and hypoxemia not explained by fluid overload. The COVID-19 pandemic brought about an unprecedented volume of patients with ARDS and challenged our understanding and clinical approach to treatment of this clinical syndrome. Unique to COVID-19 ARDS is the disruption and dysregulation of the pulmonary vascular compartment caused by the SARS-CoV-2 virus, which is a significant cause of hypoxemia in these patients. As a result, gas exchange does not necessarily correlate with respiratory system compliance and mechanics in COVID-19 ARDS as it does with other etiologies. The purpose of this review is to relate the mechanics of COVID-19 ARDS to its underlying pathophysiologic mechanisms and outline the lessons we have learned in the management of this clinic syndrome.

Specific and Non-specific Aspects and Future Challenges of ICU Care Among COVID-19 Patients with Obesity: A Narrative Review.

PURPOSE OF REVIEW: Since the end of 2019, the coronavirus disease 2019 (COVID-19) pandemic has infected nearly 800 million people and caused almost seven million deaths. Obesity was quickly identified as a risk factor for severe COVID-19, ICU admission, acute respiratory distress syndrome, organ support including mechanical ventilation and prolonged length of stay. The relationship among obesity; COVID-19; and respiratory, thrombotic, and renal complications upon admission to the ICU is unclear. RECENT FINDINGS: The predominant effect of a hyperinflammatory status or a cytokine storm has been suggested in patients with obesity, but more recent studies have challenged this hypothesis. Numerous studies have also shown increased mortality among critically ill patients with obesity and COVID-19, casting doubt on the obesity paradox, with survival advantages with overweight and mild obesity being reported in other ICU syndromes. Finally, it is now clear that the increase in the global prevalence of overweight and obesity is a major public health issue that must be accompanied by a transformation of our ICUs, both in terms of equipment and human resources. Research must also focus more on these patients to improve their care. In this review, we focused on the central role of obesity in critically ill patients during this pandemic, highlighting its specificities during their stay in the ICU, identifying the lessons we have learned, and identifying areas for future research as well as the future challenges for ICU activity.

Experiences of medical educational managers in the early COVID-19 pandemic: A qualitative thematic analysis.

BACKGROUND: The coronavirus (COVID-19) pandemic changed and disrupted education at medical universities. Educational managers face new challenges and special complexities to manage this situation. This study aimed to explain the experiences of educational managers of Iranian medical universities in the early COVID-19 pandemic. MATERIALS AND METHODS: This descriptive-qualitative study was conducted at the Tehran University of Medical Sciences, 2020-2021. The study population included all educational managers in one of the positions of the dean of the faculty, educational Vice-Chancellor, head of the department, and other relevant educational directors in medical sciences universities during the COVID-19 pandemic. Data collected from semi-structured interviews were analyzed in MAXQDA2020 software using the thematic analysis approach. RESULTS: Four main themes and nine subthemes were identified: "The ups and downs of the transition from face-to-face training to virtual training," "Crisis in educational management," "Testing and Evaluation: Obstacles and Problems," "Education and lessons learned from COVID-19." CONCLUSION: Themes identified from the experiences of educational managers provide new information about the negative and positive effects of the COVID-19 pandemic on the learning and teaching process of medical sciences students. Lessons learned and experiences of educational managers in medical sciences universities amid the COVID-19 pandemic will help health education policymakers so that they can create transformation and innovation in the education of medical science students. Strengthening the e-learning infrastructure will help to create a foundation for a rich way of educating medical students in the post-corona era and when the outbreak of other emerging diseases is inevitable in the future.

Lessons Learned from COVID-19 Response in Correctional and Detention Facilities.

The COVID-19 pandemic disproportionately affected persons held in and working in correctional and detention facilities, causing facilities' traditional priorities to shift when healthcare and public health needs temporarily drove many aspects of operations. During July-August 2022, we interviewed members of health departments and criminal justice organizations to document lessons learned from the COVID-19 response in correctional settings. Participants valued enhanced partnerships, flexibility, and innovation, as well as real-time data and corrections-specific public health guidance. Challenges included cross-sector collaborations, population density, scarcity of equipment and supplies, and mental health. Most participants reported improved relationships between criminal justice and public health organizations during the pandemic. Lessons from COVID-19 can be applied to everyday public health preparedness and emergency response in correctional facilities by ensuring representation of correctional health in public health strategy and practice and providing timely, data-driven, and partner-informed guidance tailored to correctional environments when public health needs arise.

Lessons Learned from Cross-Systems Approach to COVID-19 Pandemic Response in Juvenile Justice System, Colorado, USA.

The global COVID-19 pandemic illustrates the importance of a close partnership between public health and juvenile justice systems when responding to communicable diseases. Many setting-specific obstacles must be navigated to respond effectively to limit disease transmission and negative health outcomes while maintaining necessary services for youth in confinement facilities. The response requires multidisciplinary expertise and collaboration to address unique considerations. Public health mitigation strategies must balance the risk for disease against the negative effects of restrictions. Key aspects of the COVID-19 response in the juvenile justice system of Colorado, USA, involved establishing robust communication and data reporting infrastructures, building a multidisciplinary response team, adapting existing infection prevention guidelines, and focusing on a whole-person health approach to infection prevention. We examine lessons learned and offer recommendations on pandemic emergency response planning and managing a statewide public health emergency in youth confinement settings that ensure ongoing readiness.

Lessons Learned from Public Health and State Prison Collaborations during COVID-19 Pandemic and Multifacility Tuberculosis Outbreak, Washington, USA.

The large COVID-19 outbreaks in prisons in the Washington (USA) State Department of Corrections (WADOC) system during 2020 highlighted the need for a new public health approach to prevent and control COVID-19 transmission in the system's 12 facilities. WADOC and the Washington State Department of Health (WADOH) responded by strengthening partnerships through dedicated corrections-focused public health staff, improving cross-agency outbreak response coordination, implementing and developing corrections-specific public health guidance, and establishing collaborative data systems. The preexisting partnerships and trust between WADOC and WADOH, strengthened during the COVID-19 response, laid the foundation for a collaborative response during late 2021 to the largest tuberculosis outbreak in Washington State in the past 20 years. We describe challenges of a multiagency collaboration during 2 outbreak responses, as well as approaches to address those challenges, and share lessons learned for future communicable disease outbreak responses in correctional settings.

Putting weight-related conversations into practice: Lessons learned from implementing a knowledge translation casebook in a disability context.

BACKGROUND: Due to reported challenges experienced by healthcare providers (HCPs) when having weight-related conversations with children with disabilities and their families, a knowledge translation (KT) casebook was developed, providing key communication principles with supportive resources. Our aim was to explore how the KT casebook could be implemented into a disability context. Study objectives were to develop and integrate needs-based implementation supports to help foster the uptake of the KT casebook communication principles. METHODS: A sample of nurses, physicians, occupational therapists and physical therapists were recruited from a Canadian paediatric rehabilitation hospital. Informed by the Theoretical Domains Framework, group interviews were conducted with participants to understand barriers to having weight-related conversations in their context. Implementation strategies were developed to deliver the KT casebook content that addressed these identified barriers, which included an education workshop, simulations, printed materials, and a huddle and email strategy. Participant experiences with the implementation supports were captured through workshop evaluations, pre-post surveys and qualitative interviews. Post-implementation interviews were analysed using descriptive content analysis. RESULTS: Ten HCPs implemented the KT casebook principles over 6 months. Participants reported that the workshop provided a clear understanding of the KT casebook content. While HCPs appreciated the breadth of the KT casebook, they found the abbreviated printed educational materials more convenient. Strategies developed to address participants' need for a sense of community and opportunities to learn from each other did not achieve their aim. Increased confidence in integrating the KT casebook principles into practice was not demonstrated, due, in part, to having few opportunities to practice. This was partly because of the increase in competing clinical demands at the onset of the COVID-19 pandemic. CONCLUSIONS: Despite positive feedback on the product itself, changes in the organisational and environmental context limited the success of the implementation plan. Monitoring and adapting implementation processes in response to unanticipated changes is critical to the success of implementation efforts.

Accelerated Development of a COVID-19 Lateral Flow Test in an Academic Setting: Lessons Learned.

ConspectusThe COVID-19 pandemic further demonstrated the need for usable, reliable, and cost-effective point-of-care diagnostics that can be broadly deployed, ideally for self-testing at home. Antigen tests using more-detectable reporter labels (usually at the cost of reader complexity) achieve better diagnostic sensitivity, supporting the value of higher-analytical-sensitivity reporter technologies in lateral flow.We developed a new approach to simple, inexpensive lateral flow assays (LFAs) of great sensitivity, based on the glow stick peroxyoxalate chemistry widely used in emergency settings and in children's toys. At the peak of the COVID-19 pandemic, we had the opportunity to participate in the pandemic-driven NIH Rapid Acceleration of Diagnostics (RADx) initiative aiming to develop a deployable lateral flow diagnostic for SARS-CoV-2 nucleoprotein based on our novel glow stick-inspired light-emitting reporter technology. During this project, we screened more than 250 antibody pairs for analytical sensitivity and specificity directly in LFA format, using recombinant nucleoprotein and then gamma-irradiated virions spiked into negative nasal swab extracts. Membranes and other LFA materials and swabs and extraction reagent components also were screened and selected. Optimization of conjugate preparation and spraying as well as pretreatment/conditioning of the sample pad led to the final optimized LFA strip. Technology development also included optimization of excitation liquid enclosed in disposable droppers, design of a custom cartridge and smartphone-based reader, and app development, even a prototype reader usable with any mobile phone. Excellent preclinical performance was first demonstrated with contrived samples and then with leftover clinical samples. Moving beyond traditional academic focus areas, we were able to establish a quality management system (QMS), produce large numbers of customized LFA cassettes by contract injection molding, build in-house facilities to assemble and store thousands of complete tests for verification and validation and usability studies, and source kitting/packaging services and quality standard reagents and build partnerships for clinical translation, regulatory guidance, scale up, and market deployment. We were not able to bring this early stage technology to the point of commercialization within the limited time and resources available, but we did achieve strong proof-of-concept and advance translational aspects of the platform including initial high-performance LFAs, reading by the iPhone app using only a $2 plastic dark box with no lens, and convenient, usable excitation liquid packaging in droppers manufacturable in very large numbers.In this Account, we aim to provide a concise overview of our 18-month sprint toward the practical development of a deployable antigen lateral flow assay under pandemic conditions and the challenges and successes experienced by our team. We highlight what it takes to coach a technically savvy but commercially inexperienced academic team through the accelerated translation of an early stage technology into a useful product. Finally, we provide a guided tutorial and workflow to empower others interested in the rapid development of translatable LFAs.

Lessons Learned on Observed-to-Expected Analysis Using Spontaneous Reports During Mass Vaccination.

During the COVID-19 vaccination campaign, observed-to-expected analysis was used by the European Medicines Agency to contextualise data from spontaneous reports to generate real-time evidence on emerging safety concerns that may impact the benefit-risk profile of COVID-19 vaccines. Observed-to-expected analysis compares the number of cases spontaneously reported for an event of interest after vaccination ('observed') to the 'expected' number of cases anticipated to occur in the same number of individuals had they not been vaccinated. Observed-to-expected analysis is a robust methodology that relies on several assumptions that have been described in regulatory guidelines and scientific literature. The use of observed-to-expected analysis to support the safety monitoring of COVID-19 vaccines has provided valuable insights and lessons on its design and interpretability, which could prove to be beneficial in future analyses. When undertaking an observed-to-expected analysis within the context of safety monitoring, several aspects need attention. In particular, we emphasise the importance of stratified and harmonised data collection both for vaccine exposure and spontaneous reporting data, the need for alignment between coding dictionaries and the crucial role of accurate background incidence rates for adverse events of special interest. While these considerations and recommendations were determined in the context of the COVID-19 mass vaccination setting, they are generalisable in principle.

Impact of COVID-19 first wave on the mental health of healthcare workers in a Front-Line Spanish Tertiary Hospital: lessons learned.

Healthcare workers (HCWs) were at high risk of experiencing psychological distress during COVID-19 pandemic. The objective of this study was to evaluate the impact on HCWs' mental health in a Spanish hospital. Cross-sectional study of HCW, active between May and June 2020. A web-based survey assessed probable current mental disorders (major depressive disorder [PHQ-8 ≥ 10], generalized anxiety disorder [GAD-7 ≥ 10], panic attacks, post-traumatic stress disorder [PTSD; PLC-5 ≥ 7], or substance use disorder [CAGE-AID ≥ 2]). The Sheehan Disability Scale (SDS) was used to assess severe impairment and items taken from the modified self-report version of the Columbia Suicide Severity Rating Scale (C-SSRS) assessed suicidal thoughts and behaviors. A total of 870 HCWs completed the survey. Most frequent probable mental disorders were major depressive disorder (33.6%), generalized anxiety disorder (25.5%), panic attacks (26.9%), PTSD (27.2%), and substance use disorder (5.0%). Being female, having aged 18-29 years, being an auxiliary nurse, direct exposure to COVID-19-infected patients, and pre-pandemic lifetime mental disorders were positively associated with mental issues. Hospital HCWs presented a high prevalence of symptoms of mental disorders, especially depression, PTSD, panic attacks, and anxiety. Younger individuals and those with lifetime mental disorders have been more vulnerable to experiencing them.

Digital storytelling online: a case report exploring virtual design, implementation opportunities and challenges.

BACKGROUND: Digital storytelling is an arts-informed approach that engages short, first-person videos, typically three to five minutes in length, to communicate a personal narrative. Prior to the pandemic, digital storytelling initiatives in health services research were often conducted during face-to-face workshops scheduled over multiple days. However, throughout the COVID-19 lockdowns where social distancing requirements needed to be maintained, many digital storytelling projects were adapted to online platforms. METHODS: As part of a research project aiming to explore the day surgery treatment and recovery experiences of women with breast cancer in Peel region, we decided to pivot our digital storytelling process to an online format. During the process, we observed that the online digital storytelling format had multiple opportunities and challenges to implementation. RESULTS: This paper outlines our promising practices and lessons learned when designing and implementing an online digital storytelling project including pre-production, production and post-production considerations. CONCLUSIONS: We provide lessons learned for future teams intending to conduct an online digital storytelling project.

Digital storytelling uses pictures, video clips and audio to create a short, first-person video, to share a person's story. Before the pandemic, digital storytelling workshops were often held in-person over multiple days to help members of the community create their own digital stories. However, throughout COVID-19, many digital storytelling workshops were held online instead. This paper outlines our lessons learned when hosting an online digital storytelling workshop series to capture women's experiences with breast cancer in our local community. We hope our lessons learned are helpful for other teams who are considering using online digital storytelling workshops for their own research projects.

Patterns and determinants of healthcare utilization and medication use before and during the COVID-19 crisis in Afghanistan, Bangladesh, and India.

BACKGROUND: COVID-19 rapidly spread through South Asian countries and overwhelmed the health systems that were unprepared for such an outbreak. Evidence from high-income countries showed that COVID-19 impacted healthcare utilization, including medication use, but empirical evidence is lacking in South Asia. This study aimed to investigate the effect of COVID-19 on healthcare utilization and medication use in South Asia. METHOD: The current study used longitudinal data from the 'Premise Health Service Disruption Survey' 2020 and 2021. The countries of interest were limited to Afghanistan, Bangladesh, and India. In these surveys, data related to healthcare utilization and medication use were collected for three-time points; 'Pre-COVID phase', 'Initial phase of COVID-19 outbreak', and 'One year of COVID-19 outbreak'. Generalized estimating equation (GEE) along with McNemar's test, Kruskal-Wallis test and χ2 test were applied in this study following the conceptualization of Andersen's healthcare utilization model. RESULT: The use of healthcare and medication was unevenly impacted by the COVID-19 epidemic in Afghanistan, Bangladesh, and India. Immediately after the COVID-19 outbreak, respondents in Bangladesh reported around four times higher incomplete healthcare utilization compared to pre-COVID phase. In contrast, respondents in Afghanistan reported lower incomplete utilization of healthcare in a similar context. In the post COVID-19 outbreak, non-adherence to medication use was significantly higher in Afghanistan (OR:1.7; 95%CI:1.6,1.9) and India (OR:1.3; 95%CI:1.1,1.7) compared to pre-COVID phase. Respondents of all three countries who sought assistance to manage non-communicable diseases (NCDs) had higher odds (Afghanistan: OR:1.5; 95%CI:1.3,1.8; Bangladesh: OR: 3.7; 95%CI:1.9,7.3; India: OR: 2.3; 95% CI: 1.4,3.6) of non-adherence to medication use after the COVID-19 outbreak compared to pre-COVID phase. CONCLUSION: The present study documented important evidence of the influence of COVID-19 epidemic on healthcare utilization and medication use in three countries of South Asia. Lessons learned from this study can feed into policy responses to the crisis and preparedness for future pandemics.