Prevalence, risk factors and characterisation of individuals with long COVID using Electronic Health Records in over 1.5 million COVID cases in England.

OBJECTIVES: This study examines clinically confirmed long-COVID symptoms and diagnosis among individuals with COVID in England, aiming to understand prevalence and associated risk factors using electronic health records. To further understand long COVID, the study also explored differences in risks and symptom profiles in three subgroups: hospitalised, non-hospitalised, and untreated COVID cases. METHODS: A population-based longitudinal cohort study was conducted using data from 1,554,040 individuals with confirmed SARS-CoV-2 infection via Clinical Practice Research Datalink. Descriptive statistics explored the prevalence of long COVID symptoms 12 weeks post-infection, and Cox regression models analysed the associated risk factors. Sensitivity analysis was conducted to test the impact of right-censoring data. RESULTS: During an average 400-day follow-up, 7.4% of individuals with COVID had at least one long-COVID symptom after acute phase, yet only 0.5% had long-COVID diagnostic codes. The most common long-COVID symptoms included cough (17.7%), back pain (15.2%), stomach-ache (11.2%), headache (11.1%), and sore throat (10.0%). The same trend was observed in all three subgroups. Risk factors associated with long-COVID symptoms were female sex, non-white ethnicity, obesity, and pre-existing medical conditions like anxiety, depression, type II diabetes, and somatic symptom disorders. CONCLUSIONS: This study is the first to investigate the prevalence and risk factors of clinically confirmed long-COVID in the general population. The findings could help clinicians identify higher risk individuals for timely intervention and allow decision-makers to more efficiently allocate resources for managing long-COVID.

Medically not yet explained symptoms in hypothyroidism.

Persistent symptoms are common in the general population and even more so in people with hypothyroidism. When symptoms are unexplained and brought to medical attention, they can be referred to as medically not yet explained symptoms (MNYES), a term preferred to other descriptors by patients, care-givers and experts. MNYES might be neglected by endocrinologists or misattributed to hypothyroidism. Awareness of MNYES could open up more effective and less harmful interventions for patients who present to endocrinologists with unexplained symptoms than costly over-investigations and over-treatment with thyroid hormones (such as levothyroxine and liothyronine). The role of the endocrinologist is to recognize and acknowledge that MNYES could be underlying a patient's presentation, to communicate effectively with the patient and others involved in the patient's care, to apply a 'two-track approach' in management by paying equal attention to physical and psychosocial contributors, and to collaborate with other relevant health professionals. Categorization of patients into levels of risk for symptom deterioration helps in selecting suitable therapies. Effective management of MNYES demands time, training, expertise and resources.

Differential attrition and engagement in randomized controlled trials of occupational mental health interventions in person and online: A systematic review and meta-analysis.

OBJECTIVE: This study systematically reviewed and meta-analyzed the differential attrition and utilization of occupational mental health interventions, specifically examining delivery methods (internet-based versus in-person). METHODS: The research, with papers spanning 2010-2024, involved filtering criteria and comprehensive searches across PubMed, Scopus, and Web of Science Core (PROSPERO registration n. CRD42022322394). Of 28 683 titles, 84 records were included in the systematic review, with 75 in meta-analyses. Risk of bias was assessed through the revised Cochrane risk of bias tool for randomized control trials and funnel plots. Differential attrition across studies was meta-analysed through a random-effects model with limited maximum-likelihood estimation for the degree of heterogeneity. RESULTS: Findings reveal higher mean differential attrition in the intervention group, indicating a potential challenge in maintaining participant engagement. The attrition rates were not significantly influenced by the mode of intervention delivery (internet versus in-person). Compensation for participation and year of publication could potentially influence differential attrition from baseline to follow-up measurements. CONCLUSIONS: These results suggest a need for cautious consideration of attrition in occupational mental health intervention study designs and emphasize the importance of adapting statistical analyses to mitigate potential bias arising from differential attrition.

Integrated care policy recommendations for complex multisystem long term conditions and long COVID.

The importance of integrated care for complex, multiple long term conditions was acknowledged before the COVID pandemic but remained a challenge. The pandemic and consequent development of Long COVID required rapid adaptation of health services to address the population's needs, requiring service redesigns including integrated care. This Delphi consensus study was conducted in the UK and found similar integrated care priorities for Long COVID and complex, multiple long term conditions, provided by 480 patients and health care providers, with an 80% consensus rate. The resultant recommendations were based on more than 1400 responses from survey participants and were supported by patients, health care professionals, and by patient charities. Participants identified the need to allocate resources to: support integrated care, provide access to care and treatments that work, provide diagnostic procedures that support the personalization of treatment in an integrated care environment, and enable structural consultation between primary and specialist care settings including physical and mental health care. Based on the findings we propose a model for delivering integrated care by a multidisciplinary team to people with complex multisystem conditions. These recommendations can inform improvements to integrated care for complex, multiple long term conditions and Long COVID at international level.

Accessing care for Long Covid from the perspectives of patients and healthcare practitioners: A qualitative study.

BACKGROUND: Long Covid is an emerging long-term condition, with those affected raising concerns about lack of healthcare support. OBJECTIVE: We conducted a qualitative study to identify facilitators and barriers to healthcare access for people with Long Covid, aiming to enhance our understanding of the specific nature of these barriers and how patient experiences may vary. SETTING AND PARTICIPANTS: In the context of the Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways (STIMULATE-ICP) Delphi study, a nationally distributed online survey was conducted. Eight patients and eight healthcare practitioners (HCP) were interviewed via telephone or video call. Framework analysis, sensitised by the candidacy theory, was used to identify barriers and facilitators over four levels of access to care. RESULTS: Three themes were identified: (i) patients' efforts to navigate emerging pathways for Long Covid, (ii) the patient-HCP interaction and (iii) service resources and structural constraints. Barriers to specialist care included long waiting times, communication gaps across services and a lack of continuity in care. Facilitators included collaborative, patient-centred approaches, patients' active role in their healthcare and blended approaches for appointments. The perspectives of both patients and HCPs largely aligned. DISCUSSION: The candidacy framework was valuable in understanding the experiences of people with Long Covid seeking access to healthcare. Individuals perceived themselves as eligible for care, but they often encountered obstacles in obtaining the expected level of care or, in some cases, did not receive it at all. Our findings are discussed in the context of the candidacy model through multiple processes of identification, negotiation, permeability and appearances at health services. These themes seem to be especially important for the emerging new pathway model and are relevant to both primary and secondary care. CONCLUSIONS: This study highlights that despite these interviews being conducted two years after the start of the COVID-19 pandemic, people with Long Covid still struggle to access healthcare, emphasising the ongoing need to provide equitable timely healthcare access for people with Long Covid. PATIENT OR PUBLIC CONTRIBUTION: People with Long Covid advised on all stages of this research.

Prevalence of mental health conditions and brain fog in people with long COVID: A systematic review and meta-analysis.

OBJECTIVE: Long COVID can include impaired cognition ('brain fog'; a term encompassing multiple symptoms) and mental health conditions. We performed a systematic review and meta-analysis to estimate their prevalence and to explore relevant factors associated with the incidence of impaired cognition and mental health conditions. METHODS: Searches were conducted in Medline and PsycINFO to cover the start of the pandemic until August 2023. Included studies reported prevalence of mental health conditions and brain fog in adults with long COVID after clinically-diagnosed or PCR-confirmed SARS-CoV-2 infection. FINDINGS: 17 studies were included, reporting 41,249 long COVID patients. Across all timepoints (3-24 months), the combined prevalence of mental health conditions and brain fog was 20·4% (95% CI 11·1%-34·4%), being lower among those previously hospitalised than in community-managed patients(19·5 vs 29·7% respectively; p = 0·047). The odds of mental health conditions and brain fog increased over time and when validated instruments were used. Odds of brain fog significantly decreased with increasing vaccination rates (p = ·000). CONCLUSIONS: Given the increasing prevalence of mental health conditions and brain fog over time, preventive interventions and treatments are needed. Research is needed to explore underlying mechanisms that could inform further research in development of effective treatments. The reduced risk of brain fog associated with vaccination emphasizes the need for ongoing vaccination programs.

Determinants of workload-related clinician stress levels in general hospital consultation liaison psychiatry services during the COVID-19 pandemic in England and Ireland. Short report.

OBJECTIVE: To explore workload-related stress levels experienced by consultation liaison psychiatry (CLP) staff in England and Ireland, and factors relevant to such a burden, during the COVID-19 pandemic. METHODS: Data were obtained for England and Ireland from a European survey among CLP services in general hospitals spread via CLP networks (11th June - 3rd October 2021). The heads of respective CLP services in general hospitals responded on behalf of each service, on 100 CLP hospital staff in total. DEPENDENT VARIABLE: workload-related stress levels in CLP services due to COVID-19 (0-10 point scale). INDEPENDENT VARIABLES: hospital size, CLP service size, degree of hospital involvement in COVID-19-related care, and the number of support options available to hospital staff. Spearman's rho correlation analyses were performed. RESULTS: There was a significant association between the hospital's involvement in COVID-19-related care and workload-related stress levels as reported by CLP staff: r(22) = 0.41, p = 0.045, R2 = 0.17. There were no significant associations between workload-related stress levels and other variables including staff support (p = 0.74). CONCLUSION: Our findings suggest that perceived workload-related stress levels of CLP staff during the COVID-19 pandemic can be an indicator of COVID-19 involvement of the hospitals. Staff support seemed not to alleviate work stress in the context of the pandemic. Healthcare policies should improve working conditions for CLP hospital staff that play an essential role from a population health perspective. Rigorous measures may be needed to ensure mental healthcare provision remains tenable and sustainable in the long term.