The prevalence of suicidal behavior and ideation during pregnancy and postpartum period, its variation in the COVID-19 pandemic, and the related factors: A systematic review and meta-analysis of observational studies

Bacground Pregnancy and postpartum are sensitive periods for mental health problems due to increased stressors and demands, and the prevalence of intentional self-harming behaviors such as suicidal behavior and ideation may increase. Changes in the provision of prenatal care services and utilization of health services and adverse living conditions during the COVID-19 epidemic may also trigger or exacerbate mental illnesses. Aims To investigate the prevalence of suicidal behavior and ideation encountered during pregnancy and postpartum period, its change in the COVID-19 pandemic, and the related factors. Methods A systematic review and meta-analysis of observational studies was conducted. A search was conducted in April 2021 and updated in April 2023 on Web of Science, PubMed, PsycINFO, EBSCO, Turk Medline, Turkish Clinics, and ULAKBIM databases. Two authors independently conducted the search, selection of articles, data extraction, and quality assessment procedures, and an experienced researcher controlled all these steps. Joanna Briggs Institute's Critical Appraisal Checklists were used to assess the quality of the studies. Results The meta-analysis included 38 studies and the total sample size of the studies was 9 044 991. In this meta-analysis, the prevalence of suicidal behavior in women during pregnancy and postpartum periods was 5.1 % (95 % CI, 0.01–1.53), suicidal ideation 7.2 % (95 % CI, 0.03–0.18), suicide attampt 1 % (95 % CI, 0.00–0.07) and suicidal plan 7.8 % (95 % CI, 0.06–0.11). Rate of suicidal behavior, ideation/thought increased and attempts in the pandemic process (2.5% vs 19.7 %; 6.3% vs 11.3 %; 3.6% vs 1.4 %, respectively). Prevalences of suicidal behavior, ideation, attempts, and plan in the postpartum period was higher than during pregnancy (1.1% vs 23.4 %; 6.1% vs 9.2 %; 0.5% vs 0.7 %; 7.5% vs 8.8 %, respectively). ... (AU)

COVID-19 fatality and DALYs, and associated metabolic disorders and ambient air pollutants in pre-Omicron era of the pandemic: an international comparative study.

BACKGROUND: Air pollution and a number of metabolic disorders have been reported to increase the risk of severe COVID-19 outcomes. This study explored the association between severe COVID-19 outcomes, metabolic disorders and environmental air pollutants, at regional level, across 38 countries. METHODS: We conducted an ecological study using COVID-19 data related to countries of the Organization for Economic Cooperation and Development (OECD), with an estimated population of 1.4 billion. They were divided into 3 regions: 1. Europe & Middle east; 2. Americas (north, central & south America); 3. East-Asia & West Pacific. The outcome variables were: COVID-19 case-fatality rate (CFR) and disability-adjusted life years (DALYs) at regional level. Freely accessible datasets related to regional DALYs, demographics and other environmental pollutants were obtained from OECD, WHO and the World in Data websites. Generalized linear model (GLM) was performed to determine the regional determinants of COVID-19 CFR and DALYs using the aggregate epidemiologic data (Dec. 2019-Dec. 2021). RESULTS: Overall cumulative deaths were 65,000 per million, for mean CFR and DALYs of 1.31 (1.2)% and 17.35 (2.3) years, respectively. Globally, GLM analysis with adjustment for elderly population rate, showed that COVID-19 CFR was positively associated with atmospheric PM2.5 level (beta = 0.64(0.0), 95%CI: 0.06-1.35; p < 0.05), diabetes prevalence (beta = 0.26(0.1), 95%CI: 0.12-0.41; p < 0.001). For COVID-19 DALYs, positive associations were observed with atmospheric NOx level (beta = 0.06(0.0), 95%CI: 0.02-0.82; p < 0.05) and diabetes prevalence (beta = 0.32(0.2), 95%CI: 0.04-0.69; p < 0.05). At regional level, adjusted GLM analysis showed that COVID-19 CFR was associated with atmospheric PM2.5 level in the Americas and East-Asia & Western Pacific region; it was associated with diabetes prevalence for countries of Europe & Middle east and East-Asia & Western Pacific region. Furthermore, COVID-19 DALYs were positively associated with atmospheric PM2.5 and diabetes prevalence for countries of the Americas only. CONCLUSION: These findings confirm that diabetes and air pollution increase the risk of disability and fatality due to COVID-19, with disparities in terms of their impact. They suggest that efficient preventive and management programs for diabetes and air pollution countermeasures would have curtailed severe COVID-19 outcome rates.

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.

The impact of the COVID-19 pandemic on renal cancer care.

PURPOSE: To evaluate the impact of the COVID-19 pandemic on renal cell carcinoma (RCC) care in the Netherlands. METHODS: Newly diagnosed RCCs between 2018 and 2021 were selected from the Netherlands Cancer Registry; 2020-2021 was defined as COVID period and 2018-2019 as reference period. Numbers of RCCs were evaluated using 3-week-moving averages, overall and by disease stage and age. Changes in treatment were evaluated with logistic regression analyses. To evaluate possible delays in care, time to start of treatment was assessed. The cumulative number of metastatic RCC (mRCC) over time was assessed to evaluate stage shift. RESULTS: During the 1st COVID wave (weeks 9-22, 2020), the number of new RCC diagnoses decreased with 15%. Numbers restored partially in 2020, but remained 10% lower compared to 2018/2019. The decline was mostly due to a drop in T1a/T1b RCCs and in age > 70 years. 2021 showed similar numbers of new RCC diagnoses compared to 2018/2019 without an increase due to previously missed RCCs. Treatment-related changes during the 1st COVID wave were limited and temporarily; less surgery in T1a RCCs in favor of more active surveillance, and in mRCC targeted therapy was preferred over immunotherapy. Time to start of firstline treatment was not prolonged during the 1st COVID wave. No increase in mRCC was found until the end of 2021. CONCLUSIONS: The COVID-19 pandemic resulted in fewer RCC diagnoses, especially T1a/T1b tumors. Treatment-related changes appeared to be limited, temporarily and in accordance with the adapted guidelines. The diagnostic delay could lead to more advanced RCCs in later years but there are no indications for this yet.

Community health worker outreach to farmworkers in rural North Carolina: Learning from adaptations to the SARS-CoV-2 pandemic.

BACKGROUND: Community health workers represent a critical part of the health outreach and services for migrant and seasonal farmworkers ('farmworkers') in rural areas of the United States. PURPOSE: We sought to identify adaptations to farmworker patient engagement and health outreach made by community health workers during the first 18 months of the COVID-19 pandemic. METHODS: In this qualitative study, we used semi-structured interviews with community health workers from August 2020 to February 2022 (n = 21). Two coders used thematic analysis to identify three themes related to the experiences of community health workers in conducting health education and outreach to farmworkers prior to and following the onset of the pandemic. FINDINGS: We found themes related to pre-pandemic outreach efforts to provide health education resource sharing with farmworkers and pandemic-related outreach efforts that included adoption of porch drops and distanced delivery of health education, adaptation of modes of health education and communication through technology and the internet, and taking on new roles related to COVID-19. Finally, we identified changes that reverted after the pandemic or will continue as adaptations. CONCLUSIONS: Community health workers created practice-based innovations in outreach in response to the COVID-19 pandemic. These innovations included new COVID-19 related roles and new modes of health education and outreach, including the use of digital resources. The changes developed for emergency use in COVID-19, particularly related to internet and technology, have likely altered how community health workers conduct outreach in North Carolina going forward. Funders, community health worker training programs, and researchers should take note of these innovations. PATIENT OR PUBLIC CONTRIBUTION: Community health workers who typically come from patient populations and provide critical navigation and connection with the health care system advised on the design and creation of this research project, including serving on an advisory board. Two authors have experience working as community health workers.

Harnessing technology to improve sleep in frontline healthcare workers: A pilot study of electronic noise-masking earbuds on subjective and objective sleep measures.

Objective: This pilot study assessed the effects of electronic noise-masking earbuds on subjective sleep perception and objective sleep parameters among healthcare workers (HCWs) reporting sleep difficulties during the COVID-19 pandemic. Methods: Using a pre-post design, 77 HCWs underwent 3 nights of baseline assessment followed by a 7-night intervention period. Participants wore an at-home sleep monitoring headband to assess objective sleep measures and completed subjective self-report assessments. The difference in mean sleep measures from baseline to intervention was estimated in linear mixed models. Results: Compared to baseline assessments, HCWs reported significant improvements in sleep quality as measured by the Insomnia Severity Index (ISI) (Cohen's d = 1.74, p < 0.001) and a significant reduction in perceived sleep onset latency (SOL) during the intervention (M = 17.2 minutes, SD = 7.7) compared to baseline (M = 24.7 minutes, SD = 16.1), (Cohen's d = -0.42, p = 0.001). There were no significant changes in objective SOL (p = 0.703). However, there was a significant interaction between baseline objective SOL (<20 minutes vs >20 minutes) and condition (baseline vs intervention) (p = 0.002), such that individuals with objective SOL >20 minutes experienced a significant decrease in objective SOL during the intervention period compared to baseline (p = 0.015). Conclusions: HCWs experienced a significant improvement in perceived SOL and ISI scores after using the electronic noise-masking earbuds. Our data provide preliminary evidence for a nonpharmacological intervention to improve the sleep quality of HCWs which should be confirmed by future controlled studies.

Changes in long-term care insurance revenue among service providers during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has impacted peoples' health-related behaviors, especially those of older adults, who have restricted their activities in order to avoid contact with others. Moreover, the pandemic has caused concerns in long-term care insurance (LTCI) providers regarding management and financial issues. This study aimed to examine the changes in revenues among LTCI service providers in Japan during the pandemic and analyze its impact on different types of services. METHODS: In this study, we used anonymized data from "Kaipoke," a management support platform for older adult care operators provided by SMS Co., Ltd. Kaipoke provides management support services to more than 27,400 care service offices nationwide and has been introduced in many home-care support offices. The data used in this study were extracted from care plans created by care managers on the Kaipoke platform. To examine the impact of the pandemic, an interrupted time-series analysis was conducted in which the date of the beginning of the pandemic was set as the prior independent variable. RESULTS: The participating providers were care management providers (n = 5,767), home-visit care providers (n = 3,506), home-visit nursing providers (n = 971), and adult day care providers (n = 4,650). The results revealed that LTCI revenues decreased significantly for care management providers, home-visit nursing providers, and adult day care providers after the COVID-19 pandemic began. The largest decrease was an average base of USD - 1668.8 in adult day care. CONCLUSION: The decrease in revenue among adult day care providers was particularly concerning in terms of the sustainability of their business. This decrease in revenue may have made it difficult to retain personnel, and staff may have needed to be laid off as a result. Although this study has limitations, it may provide useful suggestions for countermeasures in such scenarios, in addition to support conducted measures.

Burdens and resources of Austrian clinical psychologists: results of a qualitative study two years into the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic increased the mental health burden in the general population, enhancing the demands placed on mental healthcare professionals. METHODS: This study aimed to assess the burdens and resources of clinical psychologists that emerged since the beginning of the pandemic. N = 172 Austrian clinical psychologists participated in a cross-sectional online survey between April and May 2022. The burdens and the sources of support that emerged during the pandemic were analyzed using qualitative content analysis. RESULTS: Mental health-related issues were identified as the greatest burden, followed by work-related themes and restrictions imposed by the government to combat the spreading of the virus. The most important resources mentioned by the clinical psychologists were social contacts and recreational activities. Practising mindfulness and focusing on inner processes and work-related aspects were further important resources mentioned. CONCLUSION: Overall, it seems that clinical psychologists have a high awareness of mental health-related problems related to the pandemic and use adaptive coping strategies to deal with them.

Identifying and overcoming COVID-19 vaccination impediments using Bayesian data mining techniques.

The COVID-19 pandemic has profoundly reshaped human life. The development of COVID-19 vaccines has offered a semblance of normalcy. However, obstacles to vaccination have led to substantial loss of life and economic burdens. In this study, we analyze data from a prominent health insurance provider in the United States to uncover the underlying reasons behind the inability, refusal, or hesitancy to receive vaccinations. Our research proposes a methodology for pinpointing affected population groups and suggests strategies to mitigate vaccination barriers and hesitations. Furthermore, we estimate potential cost savings resulting from the implementation of these strategies. To achieve our objectives, we employed Bayesian data mining methods to streamline data dimensions and identify significant variables (features) influencing vaccination decisions. Comparative analysis reveals that the Bayesian method outperforms cutting-edge alternatives, demonstrating superior performance.

Intra and inter-rater remote assessment of bradykinesia in Parkinson's disease.

INTRODUCTION: Reliable assessment of individuals with Parkinson's disease (PD) is essential for providing adequate treatment. Clinical assessment is a complex and time-consuming task, especially for bradykinesia, since its evaluation can be influenced by the degree of experience of the examiner, patient collaboration and individual bias. Improvement of the clinical evaluation can be obtained by considering assessments from several professionals. However, this is only true when inter and intra-rater agreement are high. Recently, the Movement Disorder Society highlighted, during the COVID-19 pandemic, the need to develop and validate technologies for remote assessment of the motor status of people with PD. Thus, this study introduces an objective strategy for the remote evaluation of bradykinesia using multi-specialist analysis. METHODS: Twelve volunteers with PD participated and these were asked to execute finger tapping, hand opening/closing and pronation/supination movements. Each task was recorded and rated by fourteen PD health experts for each patient. The scores were assessed on an individual basis. Intra and inter-rater agreement and correlation were estimated. RESULTS: The results showed that agreements and correlations between experienced examiners were high with low variability. In addition, group analysis was noted as possessing the potential to solve individual inconsistency bias. CONCLUSION: Furthermore, this study demonstrated the need for a group with prior training and experience, along with indicating the importance for the development of a clinical protocol that can use telemedicine for the evaluation of individuals with PD, as well as the inclusion of a specialized mediating group. In Addition, this research helps to the development of a valid remote assessment of bradykinesia.

COVID-19 inequalities in England: a mathematical modelling study of transmission risk and clinical vulnerability by socioeconomic status.

BACKGROUND: The COVID-19 pandemic resulted in major inequalities in infection and disease burden between areas of varying socioeconomic deprivation in many countries, including England. Areas of higher deprivation tend to have a different population structure-generally younger-which can increase viral transmission due to higher contact rates in school-going children and working-age adults. Higher deprivation is also associated with a higher presence of chronic comorbidities, which were convincingly demonstrated to be risk factors for severe COVID-19 disease. These two major factors need to be combined to better understand and quantify their relative importance in the observed COVID-19 inequalities. METHODS: We used UK Census data on health status and demography stratified by decile of the Index of Multiple Deprivation (IMD), which is a measure of socioeconomic deprivation. We calculated epidemiological impact using an age-stratified COVID-19 transmission model, which incorporated different contact patterns and clinical health profiles by decile. To separate the contribution of each factor, we considered a scenario where the clinical health profile of all deciles was at the level of the least deprived. We also considered the effectiveness of school closures and vaccination of over 65-year-olds in each decile. RESULTS: In the modelled epidemics in urban areas, the most deprived decile experienced 9% more infections, 13% more clinical cases, and a 97% larger peak clinical size than the least deprived; we found similar inequalities in rural areas. Twenty-one per cent of clinical cases and 16% of deaths in England observed under the model assumptions would not occur if all deciles experienced the clinical health profile of the least deprived decile. We found that more deaths were prevented in more affluent areas during school closures and vaccination rollouts. CONCLUSIONS: This study demonstrates that both clinical and demographic factors synergise to generate health inequalities in COVID-19, that improving the clinical health profile of populations would increase health equity, and that some interventions can increase health inequalities.

Ophthalmic manifestations as the first presenting feature in dengue fever: a 10-year study.

Purpose: To report patients who first presented with various ocular manifestations and eventually ascertained to have underlying dengue. Methods: A prospective study was conducted at multiple tertiary eye-care centers in India from 2012 to 2022. Cases reporting initially with ocular features along with fever/past history of fever over the last two weeks or with clinical features of dengue were selected. After an ophthalmological examination, patients underwent complete serological and biochemical analysis and those with reduced platelet counts were evaluated for dengue. Results: Out of 564 cases, 15 patients were verified to be afflicted with dengue eventually. A rising trend of cases was seen every year and out of 15 cases, eight cases were reported during the Covid-19 pandemic (from 2020 to 2022), but were COVID-negative. 9 cases presented with acute redness followed by diminished vision. Seven cases presented a history of fever over the last few days and one had traveled from dengue endemic area. The various ocular presentations included subconjunctival hemorrhage, viral keratitis, anterior uveitis, sixth-nerve palsy, and vitreous hemorrhage. On serological examination, all 15 patients were detected to have low platelets. All cases responded well with supportive treatment and the ocular features subsided in all within a couple of weeks with good visual recovery. Conclusion: In a tropical nation, such as India, with endemic dengue zones and increasing figures of dengue lately, ophthalmologists must include dengue fever among the differential diagnoses in various ocular presentations like subconjunctival hemorrhage, viral keratitis, anterior uveitis, sixth nerve palsy, and vitreous hemorrhage. Abbreviations: DHF = dengue hemorrhagic fever, PCR = polymerase chain reaction, RT-PCR = real-time automated reverse transcriptase (RT-PCR), SD = standard deviation, MAC-ELIS = IgM antibodies capture enzyme-linked immunosorbent assay, RE = right eye, LE = left eye, CECT = Contrast-enhanced computed tomography.

Relationship Between Severity and Length of Exposure to COVID-19 Parameters and Resulting Government Responses and the Suicide Crisis Syndrome (SCS).

OBJECTIVE: The COVID-19 pandemic has had a globally devastating psychosocial impact. A detailed understanding of the mental health implications of this worldwide crisis is critical for successful mitigation of and preparation for future pandemics. Using a large international sample, we investigated in the present study the relationship between multiple COVID-19 parameters (both disease characteristics and government responses) and the incidence of the suicide crisis syndrome (SCS), an acute negative affect state associated with near-term suicidal behavior. METHODS: Data were collected from 5528 adults across 10 different countries in an anonymous web-based survey between June 2020 and January 2021. RESULTS: Individuals scoring above the SCS cut-off lived in countries with higher peak daily cases and deaths during the first wave of the pandemic. Additionally, the longer participants had been exposed to markers of pandemic severity (eg, lockdowns), the more likely they were to screen positive for the SCS. Findings reflected both country-to-country comparisons and individual variation within the pooled sample. CONCLUSION: Both the pandemic itself and the government interventions utilized to contain the spread appear to be associated with suicide risk. Public policy should include efforts to mitigate the mental health impact of current and future global disasters.

Utilization of the Disaster Medical Assistance Team (DMAT) in an Inner-City Emergency Department During the COVID-19 Pandemic.

OBJECTIVE: To evaluate the effect of the Disaster Medical Assistance Team (DMAT) in an inner-city emergency department during the coronavirus disease (COVID-19) pandemic. METHODS: Data were abstracted from individual emergency department encounters over 6 weeks. The study compared left without being seen (LWBS) percentage, door-to-provider, and door-to-disposition times for 2 weeks before, during, and after the DMAT. RESULTS: The LWBS percentages for the 2 weeks before and after the DMAT were 16.2% and 11.6%, respectively. The LWBS percentage during the DMAT was 8.1%. Door-to-disposition times for the 2 weeks before and after the DMAT were 7.36 hours and 8.53 hours, respectively. The door-to-disposition during the DMAT was 7.33 hours. Door-to-disposition was statistically significant during the 2 weeks of the DMAT compared to the 2 weeks after the DMAT (7.33 vs 8.53, P < 0.05) but not statistically significant when compared to the period before the DMAT (7.36 vs 7.33, P = 1.00). Door-to-provider time was the longest during the DMAT (122.5 minutes [2.04 hours]) when compared to the time frame before the DMAT (114.54 minutes [1.91 hours]) and after the DMAT (102.84 minutes [1.71 hours]). CONCLUSION: The DMAT had the most positive impact on LWBS percentages. The DMAT showed no improvement in door-to-provider times in the study and only in door-to-disposition times when comparing the time the DMAT was present to after the DMAT departed.

Opioid-related deaths between 2019 and 2021 across 9 Canadian provinces and territories.

BACKGROUND: The drug toxicity crisis continues to accelerate across Canada, with rapid increases in opioid-related harms following the onset of the COVID-19 pandemic. We sought to describe trends in the burden of opioid-related deaths across Canada throughout the pandemic, comparing these trends by province or territory, age, and sex. METHODS: We conducted a repeated cross-sectional analysis of accidental opioid-related deaths between Jan. 1, 2019, and Dec. 31, 2021, across 9 Canadian provinces and territories using aggregated national data. Our primary measure was the burden of premature opioid-related death, measured by potential years of life lost. Our secondary measure was the proportion of all deaths attributable to opioids; we used the Cochrane-Armitage test for trend to compare proportions. RESULTS: Between 2019 and 2021, the annual number of opioid-related deaths increased from 3007 to 6222 and years of life lost increased from 126 115 to 256 336 (from 3.5 to 7.0 yr of life lost per 1000 population). In 2021, the highest number of years of life lost was among males (181 525 yr) and people aged 30-39 years (87 045 yr). In 2019, we found that 1.7% of all deaths among those younger than 85 years were related to opioids, rising to 3.2% in 2021. Significant increases in the proportion of deaths related to opioids were observed across all age groups (p < 0.001), representing 29.3% and 29.0% of deaths among people aged 20-29 and 30-39 years in 2021, respectively. INTERPRETATION: Across Canada, the burden of premature opioid-related deaths doubled between 2019 and 2021, representing more than one-quarter of deaths among younger adults. The disproportionate loss of life in this demographic group highlights the critical need for targeted prevention efforts.

"Like not having an arm": a qualitative study of the impact of visitor restrictions on cancer care during the COVID-19 pandemic.

PURPOSE: Visitor restriction policies to prevent the spread of COVID-19 among patients and clinicians were widespread during the pandemic, resulting in the exclusion of caregivers at key points of cancer care and treatment decision-making. The aim of this study was to explore how visitor restrictions impacted cancer treatment decision-making and care from patient and physician perspectives. METHODS: Sixty-seven interviews, including 48 cancer patients and 19 cancer and palliative care physicians from four academic cancer centers in the USA between August 2020 and July 2021. RESULTS: Visitor restrictions that prevented caregivers from participating in clinic appointments and perioperative hospital care created challenges in cancer care that spanned three domains: practical, social, and informational. We identified eight themes that characterized challenges within the three domains across all three groups, and that these challenges had negative emotional and psychological consequences for both groups. Physicians perceived that patients' negative experiences due to lack of support through the physical presence of caregivers may have worsened patient outcomes. CONCLUSIONS: Our data demonstrate the tripartite structure of the therapeutic relationship in cancer care with caregivers providing critical support in the decision-making and care process to both patients and physicians. Caregiver absences led to practical, psychosocial, and informational burdens on both groups, and likely increased the risk of burnout among physicians. Our findings suggest that the quality of cancer care can be enhanced by engaging caregivers and promoting their physical presence during clinical encounters.

Changes in stillbirths and child and youth mortality in 2020 and 2021 during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has been extensively studied for its impact on mortality, particularly in older age groups. However, the pandemic effects on stillbirths and mortality rates in neonates, infants, children and youth remain poorly understood. This study comprehensively analyses the pandemic influence on young mortality and stillbirths across 112 countries and territories in 2020 and 104 in 2021. METHODS: Using data from civil registers and vital statistics systems (CRVS) and the Health Management Information System (HMIS), we estimate expected mortality levels in a non-pandemic setting and relative mortality changes (p-scores) through generalized linear models. The analysis focuses on the distribution of country-specific mortality changes and the proportion of countries experiencing deficits, no changes and excess mortality in each age group. RESULTS: Results show that stillbirths and under-25 mortality were as expected in most countries during 2020 and 2021. However, among countries with changes, more experienced deficits than excess mortality, except for stillbirths, neonates and those aged 10-24 in 2021, where, despite the predominance of no changes, excess mortality prevailed. Notably, a fifth of examined countries saw increases in stillbirths and a quarter in young adult mortality (20-24) in 2021. Our findings are highly consistent between females and males and similar across income levels. CONCLUSION: Despite global disruptions to essential services, stillbirths and youth mortality were as expected in most observed countries, challenging initial hypotheses. However, the study suggests the possibility of delayed adverse effects that require more time to manifest at the population level. Understanding the lasting impacts of the COVID-19 pandemic requires ongoing, long-term monitoring of health and deaths among children and youth, particularly in low- and lower-middle-income countries.

Proportion of cancer cases and deaths attributable to potentially modifiable risk factors in Peru.

BACKGROUND: Limited evidence exists on the population attributable fraction (PAF) of cancer cases and deaths in Latin America. In Peru several studies have been published regarding the PAF of various risk factors and their associated diseases. The objective of this study was to estimate the fraction of cancer cases and deaths attributable to potentially modifiable risk factors in Peru in 2018, before the COVID-19 pandemic in the population of 15 years old and older. METHODS: An ecological study was conducted using the prevalence of exposure of the Peruvian population to modifiable risk factors for cancer, the relative risk associated with each factor, and the number of cancer cases and deaths in 2018 as inputs. We used the Parkin formula with a Montecarlo statistical simulation model to calculate the PAF and confidence intervals. The number of new cancer cases and deaths attributed to each risk factor was determined by multiplying the number of cases and deaths in each gender by the PAF of each risk factor. FINDINGS: In Peru, 38.5% of new cases (34.5% in men and 42% in women) and 43.4% of cancer-related deaths (43.4% in men and 43.4% in women) were attributable to modifiable risk factors. The number of cancers attributable was 25,308 (10,439 in men and 14,869 in women) and the number of deaths attributable to cancer was 14,839 (6,953 in men and 7,886 in women). The predominant modifiable risk factors contributing to the highest number of cases and deaths were HPV infection (4,563 cases, 2,409 deaths), current tobacco use (3,348 cases, 2,180 deaths), and helicobacter pylori infection (2,677 cases, 1,873 deaths). Among the risk factors, oncogenic infections constituted the group with the highest PAF (16.6% for cases, 19.2% for deaths) followed by other unhealthy lifestyle factors (14.2% for cases, 16.7% for deaths), tobacco (7.2% for cases, 7.2% for deaths) and ultraviolet radiation (0.5% for cases, 0.3% for deaths). CONCLUSIONS: Prior to the COVID-19 pandemic, 38.5% of cancer cases and 43.4% of cancer-related deaths in Peru were linked to modifiable risk factors in the population of 15 years old and older. Most preventable cancer cases and deaths were related to oncogenic infections, primarily caused by HPV and helicobacter pylori, followed by tobacco and obesity.

Associations of U.S. state-level COVID-19 policies intensity with cannabis sharing behaviors in 2020.

BACKGROUND: Cannabis use before the COVID-19 pandemic for many involved sharing prepared cannabis for inhalation, practices that were less prevalent during the pandemic. State-level COVID-19 containment policies may have influenced this decrease. This study examined the extent to which the intensity of state-level COVID-19 policies were associated with individual-level cannabis sharing. Findings have the potential to guide harm reduction policies for future respiratory pandemics and seasonal respiratory virus waves. METHODS: This study used cross-sectional individual-level data from the COVID-19 Cannabis Study, an anonymous U.S.-based web survey on cannabis use disseminated during the early phase of the pandemic (Full sample N = 1,883). We combined individual-level data with state-level policy data from Kaiser Family Foundation's State COVID-19 Data and Policy Actions for three time-points from June to August 2020 that overlapped with the survey period. Cannabis sharing was dichotomized as any versus no sharing. We adapted a previously published coding framework to score the intensity of COVID-19 policies implemented in each U.S. state and averaged the policy score across the time period. We then used Poisson regression models to quantify the associations of the average state-level COVID-19 policy score with cannabis sharing during the pandemic. RESULTS: Participants (n = 925) reporting using inhalation as a mode for cannabis use were included in this analysis. Most respondents were male (64.1%), non-Hispanic White (54.3%), with a mean age of 33.7 years (SD 8.8). A large proportion (74.9%) reported sharing cannabis during the pandemic. Those who shared cannabis more commonly lived in states with a lower average policy score (16.7, IQR 12.3-21.5) compared to those who did not share (18.6, IQR 15.3-25.3). In adjusted models, the prevalence ratio of any cannabis sharing per every 5-unit increase in the average COVID-19 policy score was 0.97 (95% CI 0.93, 1.01). CONCLUSIONS: Fewer individuals shared cannabis in states with more intense COVID-19 containment policies compared to those in states with less intense policies. Individuals who use cannabis may be willing to make changes to their behavior and may further benefit from specific and directed public health messaging to avoid sharing during respiratory infection outbreaks.

Engaging the public in decisions about emergency vaccine deployment strategies: Lessons from scenario-based discussions in Sierra Leone.

ABSTRACTThe COVID-19 pandemic has amplified discussions on emergency vaccine deployment strategies, with current perspectives often neglecting extensive community involvement in ethical, logistical and political aspects. Existing social science literature predominantly delves into factors influencing trust, overlooking the untapped potential for community engagement.Our study examines community preparedness in Sierra Leone's Kambia District, exploring diverse viewpoints on vaccine deployment strategies, emphasising Ebola and COVID-19 vaccinations. Utilising extensive ethnographic research from the Ebola vaccine trials (EBOVAC Salone) conducted in Kambia District from 2015 to 2021, including participant observation and tailored focus group discussions, we investigated various deployment scenarios with community leaders and citizens.Our findings underscore the multifaceted contributions of social science research with communities in shaping emergency vaccination strategies. These contributions span logistical insights, aligning campaigns with local livelihoods and social structures, and grounded ethical concerns assessing social justice outcomes across epidemic scenarios. This study emphasises the imperative of integrating discussions on vaccine confidence and deployment. It highlights communities' proficiency in epidemiological reasoning and their ability to bring this in conversation with salient socio-cultural, economic and religious dimensions. We therefore promote the cultivation of public dialogue, collaborative creation of impactful vaccination initiatives alongside relevant communities in recognition of their invaluable perspectives .