Does an App a Day Keep the Doctor Away? AI Symptom Checker Applications, Entrenched Bias, and Professional Responsibility.

The growing prominence of artificial intelligence (AI) in mobile health (mHealth) has given rise to a distinct subset of apps that provide users with diagnostic information using their inputted health status and symptom information-AI-powered symptom checker apps (AISympCheck). While these apps may potentially increase access to health care, they raise consequential ethical and legal questions. This paper will highlight notable concerns with AI usage in the health care system, further entrenchment of preexisting biases in the health care system and issues with professional accountability. To provide an in-depth analysis of the issues of bias and complications of professional obligations and liability, we focus on 2 mHealth apps as examples-Babylon and Ada. We selected these 2 apps as they were both widely distributed during the COVID-19 pandemic and make prominent claims about their use of AI for the purpose of assessing user symptoms. First, bias entrenchment often originates from the data used to train AI systems, causing the AI to replicate these inequalities through a "garbage in, garbage out" phenomenon. Users of these apps are also unlikely to be demographically representative of the larger population, leading to distorted results. Second, professional accountability poses a substantial challenge given the vast diversity and lack of regulation surrounding the reliability of AISympCheck apps. It is unclear whether these apps should be subject to safety reviews, who is responsible for app-mediated misdiagnosis, and whether these apps ought to be recommended by physicians. With the rapidly increasing number of apps, there remains little guidance available for health professionals. Professional bodies and advocacy organizations have a particularly important role to play in addressing these ethical and legal gaps. Implementing technical safeguards within these apps could mitigate bias, AIs could be trained with primarily neutral data, and apps could be subject to a system of regulation to allow users to make informed decisions. In our view, it is critical that these legal concerns are considered throughout the design and implementation of these potentially disruptive technologies. Entrenched bias and professional responsibility, while operating in different ways, are ultimately exacerbated by the unregulated nature of mHealth.

Investigating Health and Well-Being Challenges Faced by an Aging Workforce in the Construction and Nursing Industries: Computational Linguistic Analysis of Twitter Data.

BACKGROUND: Construction and nursing are critical industries. Although both careers involve physically and mentally demanding work, the risks to workers during the COVID-19 pandemic are not well understood. Nurses (both younger and older) are more likely to experience the ill effects of burnout and stress than construction workers, likely due to accelerated work demands and increased pressure on nurses during the COVID-19 pandemic. In this study, we analyzed a large social media data set using advanced natural language processing techniques to explore indicators of the mental status of workers across both industries before and during the COVID-19 pandemic. OBJECTIVE: This social media analysis aims to fill a knowledge gap by comparing the tweets of younger and older construction workers and nurses to obtain insights into any potential risks to their mental health due to work health and safety issues. METHODS: We analyzed 1,505,638 tweets published on Twitter (subsequently rebranded as X) by younger and older (aged <45 vs >45 years) construction workers and nurses. The study period spanned 54 months, from January 2018 to June 2022, which equates to approximately 27 months before and 27 months after the World Health Organization declared COVID-19 a global pandemic on March 11, 2020. The tweets were analyzed using big data analytics and computational linguistic analyses. RESULTS: Text analyses revealed that nurses made greater use of hashtags and keywords (both monograms and bigrams) associated with burnout, health issues, and mental health compared to construction workers. The COVID-19 pandemic had a pronounced effect on nurses' tweets, and this was especially noticeable in younger nurses. Tweets about health and well-being contained more first-person singular pronouns and affect words, and health-related tweets contained more affect words. Sentiment analyses revealed that, overall, nurses had a higher proportion of positive sentiment in their tweets than construction workers. However, this changed markedly during the COVID-19 pandemic. Since early 2020, sentiment switched, and negative sentiment dominated the tweets of nurses. No such crossover was observed in the tweets of construction workers. CONCLUSIONS: The social media analysis revealed that younger nurses had language use patterns consistent with someone experiencing the ill effects of burnout and stress. Older construction workers had more negative sentiments than younger workers, who were more focused on communicating about social and recreational activities rather than work matters. More broadly, these findings demonstrate the utility of large data sets enabled by social media to understand the well-being of target populations, especially during times of rapid societal change.

[Generational differences in lifestyle changes among outpatients with cardiovascular disease during the coronavirus disease pandemic].

AIM: The coronavirus disease (COVID-19) pandemic has caused significant disruptions in various aspects of daily life. The Japanese Government declared a state of emergency in April 2020, which resulted in reduced physical activity. This study investigated the impact of these lifestyle changes by generation among outpatients with cardiovascular disease (CVD). METHODS: In autumn 2020, we conducted a questionnaire survey of 1,156 CVD outpatients who visited the Department of Cardiology at our institution. The survey collected data on physical activities and changes in daily behaviors over the course of the COVID-19 pandemic. Participants were classified into 3 age groups: middle-aged (n=114, ≤64 years old), semi-old (n=330, aged 65-74 years old), and old (n=712, ≥75 years old). The number of steps per day and sedentary time per day were compared between autumn 2019 and 2020, over the course of the pandemic. RESULTS: In autumn 2020, the number of steps per day was significantly decreased and sedentary time significantly increased in all age groups compared to the pre-pandemic levels. However, there were no significant differences in the extent of changes in steps per day or sedentary time over the study period across all age groups. Regarding changes in daily behaviors, only the old-age group reported a decline in volunteering and reduced utilization of daycare services. CONCLUSIONS: The COVID-19 pandemic has resulted in changes in daily activities and lifestyles across all age groups. Because lifestyle patterns differ across generations, it may be necessary to implement age-specific interventions and procedures.

Comparison of COVID-19 Infection in Operating Room Staff During Two COVID-19 Waves Using Different Preventive Strategies in a Tertiary Care Hospital in Pakistan.

OBJECTIVE: To assess if limiting elective surgeries during specific pandemic phases significantly affected COVID-19 incidence among operating room (OR) staff. STUDY DESIGN: Retrospective cohort study. Place and Duration of the Study: Operation Theatre (OT), The Aga Khan University Hospital, Karachi, Pakistan, from May 2020 to 2021. METHODOLOGY: This retrospective study compared two pandemic waves: Wave 1, during which elective surgeries were restricted (REL), and Wave 2, during which elective surgeries were continued routinely (EL). Exposure levels were measured based on OR activity. Incidence rates were calculated per 100 OR staff, per 100 ORs, and per 100 surgeries for both Groups. RESULTS: No statistically significant difference emerged in COVID-19 incidence among OR staff between REL (13.8 per 100 staff) and EL (14.4 per 100 staff) Groups (p = 0.825). However, the EL Group exhibited a significantly lower incidence risk per running OR (5.6 per 100 ORs vs. REL's 12 per 100 ORs, p <0.001). Additionally, the EL Group showed a lower incidence per 100 surgeries (1.5 vs. REL's 2.9, p <0.002). CONCLUSION: Restricting elective surgeries during the early pandemic phase did not significantly reduce COVID-19 incidence among OR staff. Infections were primarily linked to interactions with colleagues and the community, emphasising the need for a balanced pandemic response considering patient care and the consequences of surgery restrictions. KEY WORDS: COVID-19 infection, Operating room staff, COVID-19 waves, COVID-19 transmission, Hospital epidemiology, Pandemic response.

Breast Cancer Management During the COVID Pandemic.

OBJECTIVE: To explore the impact of COVID-19 among both the newly diagnosed patients and patients under follow-up for breast cancer by focusing on patients' accessibility to management and comparing the distribution of them before and during pandemic. STUDY DESIGN: Single-centric retrospective study. Place and Duration of the Study: Department of General Surgery and Department of Physical Medicine and Rehabilitation, Atilim University, Medicana International Ankara Hospital, Ankara, Turkiye, from March 2018 to 2022. METHODOLOGY: The data were collected to analyse numbers and distributions of physician visits regarding breast cancer. RESULTS: The mean age of patients was 55.98 ± 12.60 years. The percentages of newly diagnosed cases showed similarity (7.37% vs. 9.79%) before and during the pandemic (p = 0.18).  The number of imaging studies decreased by 53.33% in patients under follow-up (p = 0.006), despite screening tests showed a similar trend (p = 0.145). General surgery visits marked up (+44.6%), in contrast to plastic surgery visits (-42.04%, p <0.001). Patients' admissions decreased in many COVID-19 related clinics (pulmonology, emergency, internal medicine, and intensive care), but cardiology (+96.59%) and rehabilitation (+75%) admissions increased during the pandemic (p <0.001). The number of medical oncology and radiation oncology visits did not change (p >0.05). CONCLUSION: Total number of physician visits was similar before and during the pandemic despite the changing distribution. While COVID-19 led to markedly rising trends of surgical, cardiological, and rehabilitative management in patients with breast cancer, falling trends were seen in other specialities except oncology which showed a plateau during two years. The falling trends of visits to pulmonology, emergency, internal medicine, and intensive care clinics may be explained by crowded COVID-19 cases. KEY WORDS: Breast cancer, COVID-19, Surgery, Oncology, Rehabilitation.

Not Only How Much But How: The Importance Of Diversifying Funding Streams In A Reimagined Public Health System.

Revenue diversification may be a synergistic strategy for transforming public health, yet few national or trend data are available. This study quantified and identified patterns in revenue diversification in public health before and during the COVID-19 pandemic. We used National Association of County and City Health Officials' National Profile of Local Health Departments study data for 2013, 2016, 2019, and 2022 to calculate a yearly diversification index for local health departments. Respondents' revenue portfolios changed fairly little between 2016 and 2022. Compared with less-diversified local health departments, well-diversified departments reported a balanced portfolio with local, state, federal, and clinical sources of revenue and higher per capita revenues. Less-diversified local health departments relied heavily on local sources and saw lower revenues. The COVID-19 period exacerbated these differences, with less-diversified departments seeing little revenue growth from 2019 to 2022. Revenue portfolios are an underexamined aspect of the public health system, and this study suggests that some organizations may be under financial strain by not having diverse revenue portfolios. Practitioners have ways of enhancing diversification, and policy attention is needed to incentivize and support revenue diversification to enhance the financial resilience and sustainability of local health departments.

The United States Needs A Better Testing Playbook For Future Public Health Emergencies.

The absence of a comprehensive national playbook for developing and deploying testing has hindered the United States' ability to rapidly suppress recent biological emergencies (for example, the COVID-19 pandemic and outbreaks of mpox). We describe here the Testing Playbook for Biological Emergencies, a national testing playbook we developed. It includes a set of decisions and actions for US officials to take at specific times during infectious disease emergencies to implement testing rapidly and to ensure that available testing meets clinical and public health needs. Although the United States had multiple plans at the federal level for responding to pandemic threats, US leaders were unable to quickly and efficiently operationalize those plans to deploy different types of tests during the COVID-19 pandemic in 2020-21, and again during the US mpox outbreak in 2022. The playbook fills a critical gap by providing the necessary specific and adaptable guidance for decision makers to meet this need.

Reimagining Rural Health Equity: Understanding Disparities And Orienting Policy, Practice, And Research In Rural America.

A narrative has taken hold that public health has failed the US. We argue instead that the US has chronically failed public health, and nowhere have these failures been more apparent than in rural regions. Decades of underinvestment in rural communities, health care, and public health institutions left rural America uniquely vulnerable to the COVID-19 pandemic. Rural communities outpaced urban ones in deaths, and many rural institutions and communities sustained significant impacts. At the same time, the pandemic prompted creative actions to meet urgent health and social needs, and it illuminated opportunities to address long-standing rural challenges. This article draws on our cross-disciplinary expertise in public health and medical anthropology, as well as our research on COVID-19 and rural health equity in northern New England. In this Commentary, we articulate five principles to inform research, practice, and policy efforts in rural America. We contend that advancing rural health equity beyond the pandemic requires understanding the forces that generate rural disparities and designing policies and practices that account for rural disadvantage.

Transforming Public Health Practice With Generative Artificial Intelligence.

Public health practice appears poised to undergo a transformative shift as a result of the latest advancements in artificial intelligence (AI). These changes will usher in a new era of public health, charged with responding to deficiencies identified during the COVID-19 pandemic and managing investments required to meet the health needs of the twenty-first century. In this Commentary, we explore how AI is being used in public health, and we describe the advanced capabilities of generative AI models capable of producing synthetic content such as images, videos, audio, text, and other digital content. Viewing the use of AI from the perspective of health departments in the United States, we examine how this new technology can support core public health functions with a focus on near-term opportunities to improve communication, optimize organizational performance, and generate novel insights to drive decision making. Finally, we review the challenges and risks associated with these technologies, offering suggestions for health officials to harness the new tools to accomplish public health goals.

Reimagining Public Health: Mapping A Path Forward.

The COVID-19 pandemic and other ongoing public health challenges have highlighted deficiencies in the US public health system. The United States is in a unique moment that calls for a transformation that builds on Public Health 3.0 and its focus on social determinants of health and partnerships with diverse sectors while also acknowledging how the pandemic altered the landscape for public health. Based on relevant literature, our experience, and interviews with public health leaders, we describe seven areas of focus within three broad categories to support transformational change. Contextual areas of focus include increasing accountability and addressing politicization and polarization. Topical areas of focus highlight prioritizing climate change and sharpening the focus on equity. Technical areas of focus include advancing data sciences, building the workforce, and enhancing communication capacity. A transformed public health system will depend highly on leadership, funding incentives, and both bottom-up and top-down approaches. A broad effort is needed by public health agencies, governments, and academia to accelerate the transition to a next phase for public health.

Weighted Blanket: An Anxiety Reduction Tool in the Outpatient Oncology Infusion Setting.

BACKGROUND: Adults with cancer experience a significantly higher level of anxiety compared with the general population. Anxiety is reported at diagnosis and throughout the cancer trajectory, and it is particularly heightened at the initiation of infusion treatments. In 2020, the COVID-19 pandemic exacerbated anxiety levels in patients receiving cancer treatments. OBJECTIVES: This evidence-based practice project evaluated the feasibility and effectiveness of using medical-grade weighted blankets to reduce anxiety in patients with cancer receiving the first two infusion treatments in the ambulatory setting. METHODS: Patients completed a modified version of the Visual Analog Scale for Anxiety to self-report anxiety pre- and postimplementation. Patients and nurses completed feasibility surveys. FINDINGS: Patients reported reduced anxiety after using a weighted blanket and described weighted blankets as comforting and soothing. More than 90% of surveyed patients agreed or strongly agreed that the blanket was comfortable, not too heavy, and easy to put on, and did not interfere with nursing care or their own activities. Nurses valued the ease of use and adherence to infection control standards.

Building Resilience in New Graduate RNs: Lessons Learned.

BACKGROUND: Transitioning into oncology practice can be challenging for new graduate RNs. High patient acuity, a steep learning curve, psychosocial challenges, and frequent patient deaths can be overwhelming. OBJECTIVES: The purpose of this program was to provide resilience training for new graduate oncology nurses as part of an existing nurse residency program. Building resilience among oncology nurses was a primary goal during the COVID-19 pandemic and continues to be an important goal. METHODS: Resilience training in this program consisted of didactic lectures, personalized goal setting, one-on-one mentoring, and a follow-up support group. Various measurement scales were used at baseline, 6 months, and 12 months to assess resilience, professional quality of life, and new graduate experience measures, including communication and organizational skills. FINDINGS: Resilience significantly declined from baseline to six months; professional quality of life and new graduate experience measures also worsened. Some improvements in organizational skills and communication emerged at 12 months. Results indicate an ongoing need to consider extending nurse residency programs, resilience training, and support beyond the traditional one-year period.

Knowledge sharing among academics from Egyptian medical schools during the COVID-19 pandemic.

BACKGROUND: Sharing knowledge among scientists during global health emergencies is a critical issue. So, this study investigates knowledge-sharing behavior and attitude among staff members of 19 Medical schools in Egyptian universities during the COVID-19 pandemic. METHODS: Across-sectional study was conducted using a web-based questionnaire. A total of 386 replies from the 10,318 distributed questionnaires were analyzed. Descriptive statistics were computed using SPSS (version 22) to summarize the demographic data. Inferential statistics such as the independent and chi-square test were used to achieve the study aims. RESULTS: More than half of the respondents (54.4%) indicated that their levels of knowledge of COVID-19 were good. Most participants (72.5%) reported that scientific publications and international websites were the most reliable source of their knowledge concerning COVID-19. More than 46% stated they sometimes share their knowledge. The lack of time to share and organizational culture were the most important factors that could affect their knowledge sharing. Additionally, about 75% of participants shared knowledge about treatment.

Mycoplasma pneumoniae detections in children with lower respiratory infection before and during the COVID-19 pandemic: a large sample study in China from 2019 to 2022.

BACKGROUND: Nonpharmaceutical interventions (NPIs) implemented to reduce the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have suppressed the spread of other respiratory viruses during the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to explore the epidemiological trends and clinical characteristics of Mycoplasma pneumoniae (MP) infection among inpatient children with lower respiratory tract infection (LRTI) before and during the COVID-19 pandemic, and investigate the long-term effects of China's NPIs against COVID-19 on the epidemiology of MP among inpatient children with LRTI. METHODS: Children hospitalised for LRTI at the Department of Pulmonology, The Children's Hospital, Zhejiang University School of Medicine (Hangzhou, China) between January 2019 and December 2022 were tested for common respiratory pathogens, including Mycoplasma pneumoniae (MP), Chlamydia trachomatis (CT) and other bacteria. Clinical data on age, sex, season of onset, disease spectrum, and combined infection in children with MP-induced LRTI in the past 4 years were collected and analysed. RESULTS: Overall, 15909 patients were enrolled, and MP-positive cases were 1971 (34.0%), 73 (2.4%), 176 (5.8%), and 952 (20.6%) in 2019, 2020, 2021, and 2022, respectively, with a significant statistical difference in the MP-positive rate over the 4 years (p <0.001). The median age of these children was preschool age (3-6 years), except for 2022, when they were school age (7-12 years), with statistical differences. Comparing the positive rates of different age groups, the school-age children (7-12 years) had the highest positive rate, followed by the preschoolers (3-6 years) in each of the 4 years. Compared among different seasons, the positive rate of MP in children with LRTI was higher in summer and autumn, whereas in 2020, it was highest in spring. The monthly positive rate peaked in July 2019, remained low from 2020 to 2021, and rebounded until 2022. Regarding the disease spectrum, severe pneumonia accounted for the highest proportion (46.3%) pre-pandemic and lowest (0%) in 2020. CONCLUSION: Trends in MP detection in children with LRTIs suggest a possible correlation between COVID-19 NPIs and significantly reduced detection rates. The positivity rate of MP gradually rose after 2 years. The epidemic season showed some differences, but school-age children were more susceptible to MP before and during the COVID-19 pandemic.

The COVID-19 pandemic "anthropause" decreased plastic ingestion in neotropic cormorants Nannopterum brasilianus in Lima, Peru.

Background: The anthropause during the recent COVID-19 pandemic provided a unique opportunity to examine the impact of human activity on seabirds. Lockdowns in Peru prevented people from visiting coastal areas, thereby reducing garbage disposal on beaches and the movement of microplastics into the ocean. This cessation of activities likely led to a temporary decrease in plastic pollution in coastal regions. We aimed to investigate this phenomenon in inshore-feeding neotropic cormorants (Nannopterum brasilianus) along the Circuito de Playas Costa Verde (CPCV), situated on the coastal strip of Lima, Peru (∼ 11 million people). Methods: We collected and analyzed fresh pellets along the CPCV before (over 11 months) and during the pandemic lockdowns (over 8 months). Results: Our findings revealed a significant reduction in the occurrence of plastic in pellets during the pandemic period (% Oc = 2.47, n = 647 pellets) compared to pre-pandemic conditions (% Oc = 7.13, n = 800 pellets). The most common plastic debris item found in the pellets was threadlike microplastic. Additionally, our study highlights the direct correlation between human presence on beaches and the quantity of microplastics (mainly threadlike) found in cormorant pellets. We suggest that the reintroduction of these materials into the sea, previously accumulated on the coast, is likely facilitated by the movement and activity of beachgoers toward the ocean.

Occupational Health Barriers in South Africa: A Call for Ubuntu.

Many low- and middle-income countries (LMICs) grapple with shortages of health workers, a crucial component of robust health systems. The COVID-19 pandemic underscored the imperative for appropriate staffing of health systems and the occupational health (OH) threats to health workers. Issues related to accessibility, coverage, and utilization of OH services in public sector health facilities within LMICs were particularly accentuated during the pandemic. This paper draws on the observations and experiences of researchers engaged in an international collaboration to consider how the South African concept of Ubuntu provides a promising way to understand and address the challenges encountered in establishing and sustaining OH services in public sector health facilities. Throughout the COVID-19 pandemic, the collaborators actively participated in implementing and studying OH and infection prevention and control measures for health workers in South Africa and internationally as part of the World Health Organizations' Collaborating Centres for Occupational Health. The study identified obstacles in establishing, providing, maintaining and sustaining such measures during the pandemic. These challenges were attributed to lack of leadership/stewardship, inadequate use of intelligence systems for decision-making, ineffective health and safety committees, inactive trade unions, and the strain on occupational health professionals who were incapacitated and overworked. These shortcomings are, in part, linked to the absence of the Ubuntu philosophy in implementation and sustenance of OH services in LMICs.

The intervention of local public authorities and the impact of the COVID-19 pandemic in Romania: a subnational analysis.

The COVID-19 pandemic had a strong territorial dimension, with a highly asymmetric impact among Romanian counties, depending on pre-existing vulnerabilities, regions' economic structure, exposure to global value chains, specialization, and overall ability to shift a large share of employees to remote working. The aim of this paper is to assess the role of Romanian local authorities during this unprecedented global medical emergency by capturing the changes of public spending at the local level between 2010 and 2021 and amid the COVID-19 pandemic, and to identify clusters of Romanian counties that shared similar characteristics in this period, using a panel data quantitative model and hierarchical cluster analysis. Our empirical analysis shows that between 2010-2021, the impact of social assistance expenditures was higher than public investment (capital spending and EU funds) on the GDP per capita at county level. Additionally, based on various macroeconomic and structural indicators (health, labour market performance, economic development, entrepreneurship, and both local public revenues and several types of expenditures), we determined seven clusters of counties. The research contributes to the discussion regarding the increase of economic resilience but also to the evidence-based public policies implementation at local level.

The interaction of disease transmission, mortality, and economic output over the first 2 years of the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has caused over 7.02 million deaths as of January 2024 and profoundly affected most countries' Gross Domestic Product (GDP). Here, we study the interaction of SARS-CoV-2 transmission, mortality, and economic output between January 2020 and December 2022 across 25 European countries. METHODS: We use a Bayesian mixed effects model with auto-regressive terms to estimate the temporal relationships between disease transmission, excess deaths, changes in economic output, transit mobility and non-pharmaceutical interventions (NPIs) across countries. RESULTS: Disease transmission intensity (logRt) decreases GDP and increases excess deaths, where the latter association is longer-lasting. Changes in GDP as well as prior week transmission intensity are both negatively associated with each other (-0.241, 95% CrI: -0.295 - -0.189). We find evidence of risk-averse behaviour, as changes in transit and prior week transmission intensity are negatively associated (-0.055, 95% CrI: -0.074 to -0.036). Our results highlight a complex cost-benefit trade-off from individual NPIs. For example, banning international travel is associated with both increases in GDP (0.014, 0.002-0.025) and decreases in excess deaths (-0.014, 95% CrI: -0.028 - -0.001). Country-specific random effects, such as the poverty rate, are positively associated with excess deaths while the UN government effectiveness index is negatively associated with excess deaths. INTERPRETATION: The interplay between transmission intensity, excess deaths, population mobility and economic output is highly complex, and none of these factors can be considered in isolation. Our results reinforce the intuitive idea that significant economic activity arises from diverse person-to-person interactions. Our analysis quantifies and highlights that the impact of disease on a given country is complex and multifaceted. Long-term economic impairments are not fully captured by our model, as well as long-term disease effects (Long COVID).

Incidence, characteristics, and risk factors of new liver disorders 3.5 years post COVID-19 pandemic in the Montefiore Health System in Bronx.

PURPOSE: To determine the incidence of newly diagnosed liver disorders (LD) up to 3.5-year post-acute COVID-19, and risk factors associated with new LD. METHODS: We analyzed 54,699 COVID-19 patients and 1,409,547 non-COVID-19 controls from March-11-2020 to Jan-03-2023. New liver disorders included abnormal liver function tests, advanced liver failure, alcohol and non-alcohol related liver disorders, and cirrhosis. Comparisons were made with ambulatory non-COVID-19 patients and patients hospitalized for other lower respiratory tract infections (LRTI). Demographics, comorbidities, laboratory data, incomes, insurance status, and unmet social needs were tabulated. The primary outcome was new LD at least two weeks following COVID-19 positive test. RESULTS: Incidence of new LD was not significantly different between COVID-19 and non-COVID-19 cohorts (incidence:1.99% vs 1.90% p>0.05, OR = 1.04[95%CI: 0.92,1.17], p = 0.53). COVID-19 patients with new LD were older, more likely to be Hispanic and had higher prevalence of diabetes, hypertension, chronic kidney disease, and obesity compared to patients without new LD. Hospitalized COVID-19 patients had no elevated risk of LD compared to hospitalized LRTI patients (2.90% vs 2.07%, p>0.05, OR = 1.29[0.98,1.69], p = 0.06). Among COVID-19 patients, those who developed LD had fewer patients with higher incomes (14.18% vs 18.35%, p<0.05) and more with lower incomes (21.72% vs 17.23%, p<0.01), more Medicare and less Medicaid insurance, and more patients with >3 unmet social needs (6.49% vs 2.98%, p<0.001) and fewer with no unmet social needs (76.19% vs 80.42%, p<0.001). CONCLUSIONS: Older age, Hispanic ethnicity, and obesity, but not COVID-19 status, posed increased risk for developing new LD. Lower socioeconomic status was associated with higher incidence of new LD.

Mental health is just an Addendum: Assessing stakeholder's perceptions on COVID-19 and mental health services provision in Malawi.

INTRODUCTION: The World Health Organization declared COVID-19 as a pandemic in March 2020. COVID-19 has since caused a significant increase in mental health problems at national and global levels. This study assessed the views of key mental health stakeholders regarding the state of mental health service provision in Malawi and the pandemic's impact on the sector. METHODS: The study utilised a qualitative approach through key informant interviews (KIIs) conducted using a semi-structured interview guide. The interviews were audio recorded in English language and were manually transcribed for thematic analysis by generating codes re-classified into themes, sub-themes and quotes. RESULTS: The results are categorised into five themes. Firstly, the availability of mental health services. All experts confirmed the lack of availability of the mental health services especially at the lower levels of care. Currently, only 0.3% of facilities offer mental health services in Malawi. Moreover, although mental health services are part of the essential health care package and, therefore, are supposed to be provided for free in public facilities at all levels, the services are centralised and only functional at a tertiary level of care in public facilities. Secondly, funding sources for mental health in public and private facilities. We learnt that public facilities depend on donor sources and there is lack of prioritisation in budget allocation for mental health services. Whereas private facilities, their major source of funding is user fees. Thirdly, government's response in the provision of mental health services during COVID-19. Almost all experts echoed that government took a proactive approach to address the mental health needs of its population during the pandemic. There was increased collaboration between the government and the private sector to provide psychosocial and counselling services to health workers working directly with COVID-19 patients in isolation centres. Furthermore, to increase awareness of the general population on where to seek counselling services. Lastly, challenges in the provision of mental health services were highlighted and how the pandemic acerbated the challenges including shortage in human resources for health and inadequate funding. CONCLUSION: This study underscores the urgency of addressing mental health challenges in Malawi. Policymakers must prioritize the decentralization of mental health services, explore funding opportunities, and build on the successful collaboration with the private sector. These measures will not only enhance the accessibility and quality of mental health services but also ensure that mental well-being is a central component of public health efforts in Malawi.