Anxiety and depression in patients with non-site-specific cancer symptoms: data from a rapid diagnostic clinic.

Background: Rapid diagnostic clinics (RDCs) provide a streamlined holistic pathway for patients presenting with non-site specific (NSS) symptoms concerning of malignancy. The current study aimed to: 1) assess the prevalence of anxiety and depression, and 2) identify a combination of patient characteristics and symptoms associated with severe anxiety and depression at Guy's and St Thomas' Foundation Trust (GSTT) RDC in Southeast London. Additionally, we compared standard statistical methods with machine learning algorithms for predicting severe anxiety and depression. Methods: Patients seen at GSTT RDC between June 2019 and January 2023 completed the General Anxiety Disorder Questionnaire (GAD-7) and Patient Health Questionnaire (PHQ-8) questionnaires, at baseline. We used logistic regression (LR) and 2 machine learning (ML) algorithms (random forest (RF), support vector machine (SVM)) to predict risk of severe anxiety and severe depression. The models were constructed using a set of sociodemographic and clinical variables. Results: A total of 1734 patients completed GAD-7 and PHQ-8 questionnaires. Of these, the mean age was 59 years (Standard Deviation: 15.5), and 61.5% (n:1067) were female. Prevalence of severe anxiety (GAD-7 score ≥15) was 13.8% and severe depression (PHQ-8 score≥20) was 9.3%. LR showed that a combination of previous mental health condition (PMH, Adjusted Odds Rario (AOR) 3.28; 95% confidence interval (CI) 2.36-4.56), symptom duration >6 months (AOR 2.20; 95%CI 1.28-3.77), weight loss (AOR 1.88; 95% CI 1.36-2.61), progressive pain (AOR 1.71; 95%CI 1.26-2.32), and fatigue (AOR 1.36; 95%CI 1.01-1.84), was positively associated with severe anxiety. Likewise, a combination PMH condition (AOR 3.95; 95%CI 2.17-5.75), fatigue (AOR 2.11; 95%CI 1.47-3.01), symptom duration >6 months (AOR 1.98; 95%CI 1.06-3.68), weight loss (AOR 1.66; 95%CI 1.13-2.44), and progressive pain (AOR 1.50; 95%CI 1.04-2.16), was positively associated with severe depression. LR and SVM had highest accuracy levels for severe anxiety (LR: 86%, SVM: 85%) and severe depression (SVM: 89%, LR: 86%). Conclusion: High prevalence of severe anxiety and severe depression was found. PMH, fatigue, weight loss, progressive pain, and symptoms >6 months emerged as combined risk factors for both these psychological comorbidities. RDCs offer an opportunity to alleviate distress in patients with concerning symptoms by expediting diagnostic evaluations.

Melting the Snowy White Peaks: The needs, expectations and experiences of Black, Asian and minority ethnic student nurses to support equitable nursing education and career progression.

BACKGROUND: There is an under-representation of Black, Asian and minority ethnic nurses in senior positions within the UK's national healthcare system. OBJECTIVES: To understand student nurses' perspectives on the role of race and ethnicity on career expectations, course learning and delivery, and areas for additional training and skill development for all nurses in understanding structural inequalities in healthcare. DESIGN: Qualitative study involving semi-structured interviews. SETTINGS: University in south-east England, UK. PARTICIPANTS: 15 nursing students (14 women, one man) from a range of ethnic backgrounds, age-groups and nationalities. METHODS: Interviews lasting 30-60 min were conducted with nursing students and thematic analyses undertaken. RESULTS: Four inter-related themes were constructed: altered career expectations, lack of understanding, absent discussion of racism and missing representation. Experiences of racism were not uncommon for students from Black, Asian and minority ethnic backgrounds and these experiences affected these students' career expectations. Students described a lack of understanding about racism and that it was a taboo topic on their course and in placements. CONCLUSIONS: Findings highlight an urgent need for universities to challenge existing nursing curricula to ensure inclusive, anti-racist educational provision that works equitably for all future nurses. The importance of representation was highlighted among those who deliver courses, in the content of nursing curriculum through inclusive education, decolonised curricula and with student voices embedded to enable the development of culturally-competent nursing graduates.

Study protocol for a case series: implementation and evaluation of an integrated mental and physical healthcare programme to screen for mental health symptoms in people with epilepsy.

INTRODUCTION: The prevalence of mental health symptoms in people with epilepsy (PWE) is elevated compared with that of the general population. These symptoms can negatively impact epilepsy management and patient outcomes but can be treated once recognised. It is, therefore, important to screen for these symptoms to identify needs and put in place appropriate support. Unfortunately, mental health symptoms are rarely addressed in epilepsy services due to time constraints, lack of resources and communication between psychological and medical professionals. These barriers can result in diagnostic overshadowing, where symptoms may be attributed to the disease and reduce the level of support PWE receive. Implementing an online screening tool embedded in the electronic health record (EHR) platform with supported referral pathways may remove some of these barriers. METHODS AND ANALYSIS: We will follow the Integrating Mental and Physical Healthcare: Research Training and Services framework, which is a routine clinical data collection tool used by clinical teams to electronically screen psychological symptoms among patients with long-term physical health conditions. Patient outcomes including mental health, physical health and psychosocial outcomes will be collected and uploaded to the EHR platform in real-time. An appropriate referral pathway will be recommended depending on severity of the outcome scores. We will initially pilot the tool for individuals aged 13 years and above through epilepsy clinics at King's College Hospital. Following this, the acceptability and feasibility of the tool will be assessed at baseline, 6 and 12 months. ETHICS AND DISSEMINATION: Ethics approval was obtained from the National Health Service Research Ethics Committee of South Central-Oxford C, reference: 21/EM/0205. This study is expected to inform the use of integrated electronic mental health screening for youth in epilepsy clinics and improve access to psychological support. The findings will be disseminated through academic peer-reviewed journals, poster presentations and scientific meetings.