Mental health in Europe during the COVID-19 pandemic: a systematic review.

The COVID-19 pandemic caused immediate and far-reaching disruption to society, the economy, and health-care services. We synthesised evidence on the effect of the pandemic on mental health and mental health care in high-income European countries. We included 177 longitudinal and repeated cross-sectional studies comparing prevalence or incidence of mental health problems, mental health symptom severity in people with pre-existing mental health conditions, or mental health service use before versus during the pandemic, or between different timepoints of the pandemic. We found that epidemiological studies reported higher prevalence of some mental health problems during the pandemic compared with before it, but that in most cases this increase reduced over time. Conversely, studies of health records showed reduced incidence of new diagnoses at the start of the pandemic, which further declined during 2020. Mental health service use also declined at the onset of the pandemic but increased later in 2020 and through 2021, although rates of use did not return to pre-pandemic levels for some services. We found mixed patterns of effects of the pandemic on mental health and social outcome for adults already living with mental health conditions.

Recording of intellectual disability in general hospitals in England 2006-2019: Cohort study using linked datasets.

BACKGROUND: Accurate recognition and recording of intellectual disability in those who are admitted to general hospitals is necessary for making reasonable adjustments, ensuring equitable access, and monitoring quality of care. In this study, we determined the rate of recording of intellectual disability in those with the condition who were admitted to hospital and factors associated with the condition being unrecorded. METHODS AND FINDINGS: Retrospective cohort study using 2 linked datasets of routinely collected clinical data in England. We identified adults with diagnosed intellectual disability in a large secondary mental healthcare database and used general hospital records to investigate recording of intellectual disability when people were admitted to general hospitals between 2006 and 2019. Trends over time and factors associated with intellectual disability being unrecorded were investigated. We obtained data on 2,477 adults with intellectual disability who were admitted to a general hospital in England at least once during the study period (total number of admissions = 27,314; median number of admissions = 5). People with intellectual disability were accurately recorded as having the condition during 2.9% (95% CI 2.7% to 3.1%) of their admissions. Broadening the criteria to include a nonspecific code of learning difficulty increased recording to 27.7% (95% CI 27.2% to 28.3%) of all admissions. In analyses adjusted for age, sex, ethnicity, and socioeconomic deprivation, having a mild intellectual disability and being married were associated with increased odds of the intellectual disability being unrecorded in hospital records. We had no measure of quality of hospital care received and could not relate this to the presence or absence of a record of intellectual disability in the patient record. CONCLUSIONS: Recognition and recording of intellectual disability in adults admitted to English general hospitals needs to be improved. Staff awareness training, screening at the point of admission, and data sharing between health and social care services could improve care for people with intellectual disability.

Investigating time-dependent COVID-19 pandemic mental health data: Challenges and opportunities of using panel data analysis.

Mariana Pinto da Costa and Robert Stewart provide commentary on a large prospective panel survey of mental health during the pandemic and consider the implications of such data science initiatives.

Feedback from the 8th European Bioanalysis Forum Young Scientist Symposium.

After 2 years of COVID-19 restrictions, the 8th Young Scientist Symposium was organized again as a face-to-face meeting covering a broad array of scientific presentations. As in the previous editions, the meeting was organized by young scientists for young scientists under the umbrella of the European Bioanalysis Forum and in collaboration with academia. The traditional Science Café was again included as an interactive round table session. This year, the main focus was on the challenges of communication. New for the 8th edition was a session connecting the young scientists with more seasoned experts in an effort to bridge talent and experience. In this article, we share the feedback of the scientific sessions and the Science Café held at the symposium.

Characterizing the Differences in Descriptions of Violence on Reddit During the COVID-19 Pandemic.

Concerns have been raised over the experiences of violence such as domestic violence (DV) and intimate partner violence (IPV) during the COVID-19 pandemic. Social media such as Reddit represent an alternative outlet for reporting experiences of violence where healthcare access has been limited. This study analyzed seven violence-related subreddits to investigate the trends of different violence patterns from January 2018 to February 2022 to enhance the health-service providers' existing service or provide some new perspective for existing violence research. Specifically, we collected violence-related texts from Reddit using keyword searching and identified six major types with supervised machine learning classifiers: DV, IPV, physical violence, sexual violence, emotional violence, and nonspecific violence or others. The increase rate (IR) of each violence type was calculated and temporally compared in five phases of the pandemic. The phases include one pre-pandemic phase (Phase 0, the date before February 26, 2020) and four pandemic phases (Phases 1-4) with separation dates of June 17, 2020, September 7, 2020, and June 4, 2021. We found that the number of IPV-related posts increased most in the earliest phase; however, that for COVID-citing IPV was highest in the mid-pandemic phase. IRs for DV, IPV, and emotional violence also showed increases across all pandemic phases, with IRs of 26.9%, 58.8%, and 28.8%, respectively, from the pre-pandemic to the first pandemic phase. In the other three pandemic phases, all the IRs for these three types of violence were positive, though lower than the IRs in the first pandemic phase. The findings highlight the importance of identifying and providing help to those who suffer from such violent experiences and support the role of social media site monitoring as a means of informative surveillance for help-providing authorities and violence research groups.

Adverse outcomes associated with recorded victimization in mental health electronic records during the first UK COVID-19 lockdown.

PURPOSE: The impact of COVID-19 pandemic policies on vulnerable groups such as people with mental health problems who experience violence remains unknown. This study aimed to investigate the prevalence of victimization recorded in mental healthcare records during the first UK lockdown, and associations with subsequent adverse outcomes. METHODS: Using a large mental healthcare database, we identified all adult patients receiving services between 16.12.2019 and 15.06.2020 and extracted records of victimisation between 16.03.2020 and 15.06.2020 (first UK COVID-19 lockdown). We investigated adverse outcomes including acute care, emergency department referrals and all-cause mortality in the year following the lockdown (16.06.2020- 01.11.2021). Multivariable Cox regressions models were constructed, adjusting for socio-demographic, socioeconomic, clinical, and service use factors. RESULTS: Of 21,037 adults receiving mental healthcare over the observation period, 3,610 (17.2%) had victimisation mentioned between 16.03.2020 and 15.06.2020 (first UK COVID-19 lockdown). Service users with mentions of victimisation in their records had an elevated risk for all outcomes: acute care (adjusted HR: 2.1; 95%CI 1.9-2.3, p < 0.001), emergency department referrals (aHR: 2.0; 95%CI 1.8-2.2; p < 0.001), and all-cause mortality (aHR: 1.5; 95%CI 1.1-1.9; p = 0.003), when compared to service users with no recorded victimisation. We did not observe a statistically significant interaction with gender; however, after adjusting for possible confounders, men had slightly higher hazard ratios for all-cause mortality and emergency department referrals than women. CONCLUSION: Patients with documented victimisation during the first UK lockdown were at increased risk for acute care, emergency department referrals and all-cause mortality. Further research is needed into mediating mechanisms.

UrbanPop: A spatial microsimulation framework for exploring demographic influences on human dynamics

Ensuring the social equity of planning measures in social systems requires an understanding of human dynamics, particularly how individual relationships, activities, and interactions intersect with individual needs. Spatial microsimulation models (SMSMs) support planning for human security goals by representing human dynamics through realistic, georeferenced synthetic populations, that a) provide a complete representation of social systems while b) also protecting individual privacy. In this paper, we present UrbanPop, an open and reproducible SMSM framework for analysis of human dynamics with high spatial, temporal, and demographic resolution. UrbanPop creates synthetic populations of demographically detailed worker and student agents, positioning them first at probable nighttime locations (home), then moving them to probable daytime locations (work/school). Summary aggregations of these populations match the granular detail available at the census block group level in the American Community Survey Summary File (SF), providing realistic approximations of the actual population. UrbanPop users can select particular demographic traits important in their application, resulting in a highly tailored agent population. We first lay out UrbanPop's baseline methodology, including population synthesis, activity modeling, and diagnostics, then demonstrate these capabilities by developing case studies of shifting population distributions and high-risk populations in Knox County, TN during the global COVID-19 pandemic. • Individual demographics, location, and activities influence population responses to transformational events. • Increased telework rates, school closures altered daytime population distributions early in the COVID-19 pandemic. • Spatial heterogeneity of high-risk individuals during COVID-19 pandemic during both nighttime and daytime. [ FROM AUTHOR]

UrbanPop: A spatial microsimulation framework for exploring demographic influences on human dynamics

Ensuring the social equity of planning measures in social systems requires an understanding of human dynamics, particularly how individual relationships, activities, and interactions intersect with individual needs. Spatial microsimulation models (SMSMs) support planning for human security goals by representing human dynamics through realistic, georeferenced synthetic populations, that a) provide a complete representation of social systems while b) also protecting individual privacy. In this paper, we present UrbanPop, an open and reproducible SMSM framework for analysis of human dynamics with high spatial, temporal, and demographic resolution. UrbanPop creates synthetic populations of demographically detailed worker and student agents, positioning them first at probable nighttime locations (home), then moving them to probable daytime locations (work/school). Summary aggregations of these populations match the granular detail available at the census block group level in the American Community Survey Summary File (SF), providing realistic approximations of the actual population. UrbanPop users can select particular demographic traits important in their application, resulting in a highly tailored agent population. We first lay out UrbanPop's baseline methodology, including population synthesis, activity modeling, and diagnostics, then demonstrate these capabilities by developing case studies of shifting population distributions and high-risk populations in Knox County, TN during the global COVID-19 pandemic.

Managing Crises in Tourism: Resilience Strategies from the Caribbean

Managing Crises in Tourism: Resilience Strategies from the Caribbean presents a timely and relevant exploration on what has grown to become a critical economic issue for Small Island Developing States (SIDS) that are highly tourism dependent. SIDS are known to face exposures to crises, including natural disasters and economic distress. More concerning, however, are the resource constraints that limit recovery when SIDS face said crises. The current text explores this resilience capacity constraint and its consequences. In addition to the resource capacity constraint, tourism dependent SIDS are further faced with significant economic recovery limitations when crisis impact disrupts the tourism sector. The COVID-19 pandemic presents a noteworthy example.

The impact of the first UK COVID-19 lockdown on presentations with psychosis to mental health services for older adults: An electronic health records study in South London.

OBJECTIVES: Social distancing restrictions in the COVID-19 pandemic may have had adverse effects on older adults' mental health. Whereby the impact on mood is well-described, less is known about psychotic symptoms. The aim of this study was to compare characteristics associated with psychotic symptoms during the first UK lockdown and a pre-pandemic comparison period. METHODS: In this retrospective observational study we analysed anonymised records from patients referred to mental health services for older adults in South London in the 16-week period of the UK lockdown starting in March 2020, and in the comparable pre-pandemic period in 2019. We used logistic regression models to compare the associations of different patient characteristics with increased odds of presenting with any psychotic symptom (defined as hallucinations and/or delusion), hallucinations, or delusions, during lockdown and the corresponding pre-pandemic period. RESULTS: 1991 referrals were identified. There were fewer referrals during lockdown but a higher proportion of presentations with any psychotic symptom (48.7% vs. 42.8%, p = 0.018), particularly hallucinations (41.0% vs. 27.8%, p < 0.001). Patients of non-White ethnicity (adjusted odds ratio (OR): 1.83; 95% confidence interval (CI): 1.13-2.99) and patients with dementia (adjusted OR: 3.09; 95% CI: 1.91-4.99) were more likely to be referred with psychotic symptoms during lockdown. While a weaker association between dementia and psychotic symptoms was found in the pre-COVID period (adjusted OR: 1.55; 95% CI: 1.19-2.03), interaction terms indicated higher odds of patients of non-White ethnicity or dementia to present with psychosis during the lockdown period. CONCLUSIONS: During lockdown, referrals to mental health services for adults decreased, but contained a higher proportion with psychotic symptoms. The stronger association with psychotic symptoms in non-White ethnic groups and patients with dementia during lockdown suggests that barriers in accessing care might have increased during the COVID-19 pandemic.

Near real time monitoring and forecasting for COVID-19 situational awareness.

In the opening months of the pandemic, the need for situational awareness was urgent. Forecasting models such as the Susceptible-Infectious-Recovered (SIR) model were hampered by limited testing data and key information on mobility, contact tracing, and local policy variations would not be consistently available for months. New case counts from sources like John Hopkins University and the NY Times were systematically reliable. Using these data, we developed the novel COVID County Situational Awareness Tool (CCSAT) for reliable monitoring and decision support. In CCSAT, we developed a retrospective seven-day moving window semantic map of county-level disease magnitude and acceleration that smoothed noisy daily variations. We also developed a novel Bayesian model that reliably forecasted county-level magnitude and acceleration for the upcoming week based on population and new case count data. Together these formed a robust operational update including county-level maps of new case rate changes, estimates of new cases in the upcoming week, and measures of model reliability. We found CCSAT provided stable, reliable estimates across the seven-day time window, with the greatest errors occurring in cases of anomalous, single day spikes. In this paper, we provide CCSAT details and apply it to a single week in June 2020.

COVID-related hospitalization, intensive care treatment, and all-cause mortality in patients with psychosis and treated with clozapine.

Clozapine, an antipsychotic, is associated with increased susceptibility to infection with COVID-19, compared to other antipsychotics. Here, we investigate associations between clozapine treatment and increased risk of adverse outcomes of COVID-19, namely COVID-related hospitalisation, intensive care treatment, and death, amongst patients taking antipsychotics with schizophrenia-spectrum disorders. Using the clinical records of South London and Maudsley NHS Foundation Trust, we identified 157 individuals who had an ICD-10 diagnosis of schizophrenia-spectrum disorders, were taking antipsychotics (clozapine or other antipsychotics) at the time of COVID-19 pandemic in the UK and had a laboratory-confirmed COVID-19 infection. The following health outcomes were measured: COVID-related hospitalisation, COVID-related intensive care treatment and death. We tested associations between clozapine treatment and each outcome using logistic regression models, adjusting for gender, age, ethnicity, neighbourhood deprivation, obesity, smoking status, diabetes, asthma, bronchitis and hypertension using propensity scores. Of the 157 individuals who developed COVID-19 while on antipsychotics (clozapine or other antipsychotics), there were 28% COVID-related hospitalisations, 8% COVID-related intensive care treatments and 8% deaths of any cause during the 28 days follow-up period. amongst those taking clozapine, there were 25% COVID-related hospitalisations, 7% COVID-related intensive care treatments and 7% deaths. In both unadjusted and adjusted analyses, we found no significant association between clozapine and any of the outcomes. Thus, we found no evidence that patients with clozapine treatment at time of COVID-19 infection had increased risk of hospitalisation, intensive care treatment or death, compared to non-clozapine antipsychotic-treated patients. However, further research should be considered in larger samples to confirm this.

Cardiovascular Outcomes in Nova Scotia During the Early Phase of the COVID-19 Pandemic.

BACKGROUND: This study sought to determine the impact of the COVID-19 pandemic response to healthcare delivery on outcomes in patients with cardiovascular disease. METHODS: This is a population-based cohort study performed in the province of Nova Scotia, Canada (population 979,499), between the pre-COVID (March 1, 2017-March 16, 2020) and in-COVID (March 17, 2020-December 31, 2020) periods. Adult patients (age ≥ 18 years) with new-onset or existing cardiovascular disease were included for comparison between periods. The main outcome measures included the following: cardiovascular emergency department visits or hospitalizations, mortality, and out-of-hospital cardiac arrest. RESULTS: In the first month of the in-COVID period, emergency department visits (n = 51,750) for cardiac symptoms decreased by 20.8% (95% confidence interval [CI] 14.0%-27.0%, P < 0.001). Cardiovascular hospitalizations (n = 20,609) declined by 48.1% (95% CI 40.4% to 54.9%, P < 0.001). The in-hospital mortality rate increased in patients with cardiovascular admissions in secondary care institutions by 55.1% (95% CI 10.1%-118%, P = 0.013). A decline of 20.4%-44.0% occurred in cardiovascular surgical/interventional procedures. The number of out-of-hospital cardiac arrests (n = 5528) increased from a monthly mean of 115 ± 15 to 136 ± 14, beginning in May 2020. Mortality for ambulatory patients awaiting cardiac intervention (n = 14,083) increased from 0.16% (n = 12,501) to 2.49% (n = 361) in the in-COVID period (P < 0.0001). CONCLUSIONS: This study demonstrates increased cardiovascular morbidity and mortality during restrictions maintained during the COVID-19 period, in an area with a low burden of COVID-19. As the healthcare system recovers or enters subsequent waves of COVID-19, these findings should inform communication to the public regarding cardiovascular symptoms, and policy for delivery of cardiovascular care.

CONTEXTE: Cette étude visait à déterminer les répercussions de la réponse à la pandémie de COVID-19 sur la prestation des soins de santé et son incidence sur les résultats obtenus par les patients atteints d'une maladie cardiovasculaire. MÉTHODOLOGIE: Il s'agit d'une étude de cohorte représentative de la population réalisée dans la province de la Nouvelle-Écosse, au Canada (population de 979 499 habitants), entre la période précédant le début de la pandémie de COVID-19 (du 1er mars 2017 au 16 mars 2020) et la période de pandémie (du 17 mars 2020 au 31 décembre 2020). Des patients adultes (âge ≥ 18 ans) atteints d'une maladie cardiovasculaire préexistante ou d'apparition récente ont été inclus pour la comparaison entre les périodes. Les principaux paramètres d'évaluation comprenaient les visites ou hospitalisations dans un service d'urgences cardiovasculaires, la mortalité et l'arrêt cardiaque en milieu extrahospitalier. RÉSULTATS: Au cours du premier mois de la période de pandémie, les visites aux services des urgences (n = 51 750) pour des symptômes cardiaques ont diminué de 20,8 % (intervalle de confiance [IC] à 95 % : 14,0 % ­ 27,0 %, p < 0,001). Les hospitalisations en raison d'un événement cardiovasculaire (n = 20 609) ont décliné de 48,1 % (IC à 95 % : 40,4 % ­ 54,9 %, p < 0,001). Le taux de mortalité hospitalière parmi les patients admis dans des établissements de soins secondaires a augmenté de 55,1 % (IC à 95 % : 10,1 % ­ 118 %, p = 0,013). Une baisse de 20,4 à 44,0 % du nombre d'interventions chirurgicales ou interventionnelles visant à prendre en charge un événement cardiovasculaire a également été enregistrée. Le nombre d'arrêts cardiaques survenus en milieu extrahospitalier (n = 5 528) est passé d'une moyenne mensuelle de 115 ± 15 à 136 ± 14, à compter de mai 2020. La mortalité des patients ambulatoires en attente d'une intervention cardiaque (n = 14 083) a augmenté, passant de 0,16 % (n = 12 501) à 2,49 % (n = 361) pendant la période de pandémie (p < 0,0001). CONCLUSIONS: Cette étude révèle une augmentation de la morbidité et de la mortalité cardiovasculaires durant le maintien des restrictions liées à la COVID-19 dans une région où le fardeau associé à cette maladie est faible. À mesure que le système de santé se rétablit ou affronte les vagues subséquentes de COVID-19, ces résultats devraient éclairer les communications au public concernant les symptômes cardiovasculaires et orienter la politique de prestation de soins cardiovasculaires.

Pericapsular nerve group (PENG) block provides improved short-term analgesia compared with the femoral nerve block in hip fracture surgery: a single-center double-blinded randomized comparative trial.

BACKGROUND: The femoral nerve block (FNB) may be used for analgesia in hip fracture surgery. The pericapsular nerve group (PENG) block is a novel regional technique and may provide better pain reduction while preserving motor function, but these blocks have not been directly compared. METHODS: In a single-center double-blinded randomized comparative trial, patients presenting for hip fracture surgery received analgesia with either FNB or PENG block. The primary outcome measure was pain scores (Numeric Rating Scale (NRS) 0 to 10). Secondary outcomes were postoperative quadriceps strength, opiate use, complications, length of hospital stay, and patient-reported outcomes. RESULTS: Sixty patients were randomized and equally allocated between groups. Baseline demographics were similar. Postoperatively in recovery (day 0), the PENG group experienced less pain compared with the FNB group. (In the PENG group, 63% experienced no pain, 27% mild pain, and 10% moderate to severe pain. In comparison, 30% of the FNB group reported no pain, 27% mild pain, and 36% moderate to severe pain; p=0.04). This was assessed using an 11-point Likert NRS. Quadriceps strength was better preserved in the PENG group in the recovery unit (assessed using Oxford muscle strength grading, 60% intact in the PENG group vs none intact in the FNB group; p<0.001) and on day 1 (90% intact vs 50%, respectively; p=0.004). There was no difference in other outcomes. CONCLUSIONS: Patients receiving a PENG block for intraoperative and postoperative analgesia during hip fracture surgery experience less postoperative pain in the recovery room with no difference detected by postoperative day 1. Quadriceps strength was better preserved with the PENG block. Despite the short-term analgesic benefit and improved quadriceps strength, there were no differences detected in the quality of recovery.

All-cause and cause-specific mortality in people with mental disorders and intellectual disabilities, before and during the COVID-19 pandemic: cohort study.

BACKGROUND: People with mental disorders and intellectual disabilities experience excess mortality compared with the general population. The impact of COVID-19 on exacerbating this, and in widening ethnic inequalities, is unclear. METHODS: Prospective data (N=167,122) from a large mental healthcare provider in London, UK, with deaths from 2019 to 2020, used to assess age- and gender-standardised mortality ratios (SMRs) across nine psychiatric conditions (schizophrenia-spectrum disorders, affective disorders, somatoform/ neurotic disorders, personality disorders, learning disabilities, eating disorders, substance use disorders, pervasive developmental disorders, dementia) and by ethnicity. FINDINGS: Prior to the World Health Organization (WHO) declaring COVID-19 a public health emergency on 30th January 2020, all-cause SMRs across all psychiatric cohorts were more than double the general population. By the second quarter of 2020, when the UK experienced substantial peaks in COVID-19 deaths, all-cause SMRs increased further, with COVID-19 SMRs elevated across all conditions (notably: learning disabilities: SMR: 9.24 (95% CI: 5.98-13.64), pervasive developmental disorders: 5.01 (95% CI: 2.40-9.20), eating disorders: 4.81 (95% CI: 1.56-11.22), schizophrenia-spectrum disorders: 3.26 (95% CI: 2.55-4.10), dementia: 3.82 (95% CI: 3.42, 4.25) personality disorders 4.58 (95% CI: 3.09-6.53)). Deaths from other causes remained at least double the population average over the whole year. Increased SMRs were similar across ethnic groups. INTERPRETATION: People with mental disorders and intellectual disabilities were at a greater risk of deaths relative to the general population before, during and after the first peak of COVID-19 deaths, with similar risks by ethnicity. Mortality from non-COVID-19/ other causes was elevated before/ during the pandemic, with higher COVID-19 mortality during the pandemic. FUNDING: ESRC (JD, CM), NIHR (JD, RS, MH), Health Foundation (JD), GSK, Janssen, Takeda (RS).

Loneliness in older adult mental health services during the COVID-19 pandemic and before: Associations with disability, functioning and pharmacotherapy.

OBJECTIVES: Loneliness is associated with psychiatric morbidity. Restrictions placed on the population during the first COVID-19 lockdown may have disproportionately affected older adults, possibly through increasing loneliness. We sought to investigate this by examining loneliness in referrals to mental health of older adults (MHOA) services during the first UK COVID-19 lockdown. METHODS: Referrals to MHOA services from a large South London catchment area were identified for the 16-week period of the UK lockdown starting in March 2020 and for the corresponding period in 2019. A natural language processing algorithm identified loneliness in the patients' records. We applied logistic regression models adjusted for age, gender, ethnicity and diagnosis, to examine associations of loneliness in the study population. RESULTS: 1991 referrals were identified, 56.9% of whom were female, with a mean age of 77.9 years. Only 26.9% occurred during the 2020 lockdown, but with a higher prevalence of loneliness (22.0 vs. 17.7%, p = 0.028). In the whole sample, loneliness was associated with non-accidental self-injury (Odds ratio [OR]: 1.65), depressed mood (OR: 1.73), psychotic symptoms (OR: 1.65), relationship problems (OR: 1.49), problems with daytime activities (OR: 1.36), and antidepressant use (OR: 2.11). During lockdown, loneliness was associated with non-accidental self-injury (OR: 2.52), problem drinking or drug-taking (OR 2.33), and antidepressant use (OR 2.10). CONCLUSIONS: Loneliness is associated with more severe symptoms of affective illness, worse functional problems and increased use of antidepressant medication in older adults. During lockdown, loneliness in referrals to MHOA services increased and was associated with increased risk-taking behaviour. Loneliness is a potential modifiable risk factor for mental illness, and efforts to minimise it in older adults should be prioritised as we emerge from the pandemic.

Associations Between COVID-19 Symptoms and Psychological Distress.

Background: Hospital isolation for COVID-19 may cause significant psychological stress. The association between COVID-19 symptoms and psychological symptoms has not been systematically studied. We investigated the effects of telephonic intervention on the relationship between psychological symptoms and COVID-19 symptoms at the time of hospitalization and 1 week later. Method: We screened 461 patients with COVID-19 for psychiatric symptoms from February 29, 2020, to January 3, 2021. In total, 461 patients were evaluated 2 days after admission, and 322 (69.8%) were followed 1 week later. To assess anxiety and depressive symptoms, the Hospital Anxiety and Depression Scale (HADS) was administered to patients once per week. The Insomnia Severity Index (ISI) and item 9 of the Beck Depression Inventory (BDI-9) were used weekly to assess insomnia and suicidal ideation. Results: Of 461 enrolled patients, we observed clinically meaningful psychological anxiety symptoms (in 75/16.3% of patients), depression (122/26.5%), insomnia (154/33.4%), and suicidal ideation (54/11.7%). Commonly reported COVID-19 symptoms are cough/sputum/sneezing (244, 52.9%), headache/dizziness (98, 21.3%), myalgia (113, 24.5%), and sore throat (89, 19.3%). Compared to baseline, significant improvements were found in anxiety, depression, and suicidal ideation at 1 week. No significant group differences in ISI score were observed. Conclusions: COVID-19 symptoms at baseline had a significant and persistent negative impact on anxiety and depression at admission and at 1 week after hospitalization. Early intervention is essential to improve the outcomes of patients with mental illness.