Anxiety Depression, Burnout, Sleep
Conditions
Keywords
psychiatric probldems in cardiologists, psychiatric problems in cardiovascular patients
Brief summary
The goal of this observational cross-sectional study is to determine the prevalence of psychiatric problems (depression, anxiety, stress, and burnout) among patients with cardiovascular diseases and healthcare providers working in the Department of Cardiovascular Medicine at Assiut University Heart Hospital. The main questions it aims to answer are: * What is the prevalence of depression, anxiety, and stress among cardiovascular patients? * What is the prevalence of burnout, depression, and anxiety among healthcare providers in the same department? The study will also explore potential sociodemographic, occupational, and clinical factors associated with these psychological outcomes.
Detailed description
Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide. Psychological comorbidities-such as depression, anxiety, post-traumatic stress disorder, and cognitive impairment-are highly prevalent among patients with CVD and are known to adversely affect treatment adherence, quality of life, and overall outcomes. Similarly, healthcare professionals working in cardiovascular medicine are exposed to continuous psychological stress due to long working hours, critical decision-making, and frequent exposure to life-threatening situations. These stressors contribute to burnout, depression, anxiety, and reduced job satisfaction, all of which may negatively influence patient safety and workforce stability. Despite the recognized importance of mental health in cardiology, limited data exist from low- and middle-income countries-particularly from Egypt-regarding the concurrent assessment of mental health among both patients and healthcare providers within the same clinical setting. Therefore, this study aims to estimate the prevalence and correlates of psychiatric symptoms among cardiovascular patients and healthcare providers in a tertiary care center. The results are expected to guide the development of psychosocial support programs and promote mental health awareness in hospital cardiology departments. Study Design: Type: Cross-sectional, descriptive, hospital-based study Setting: Assiut University Heart Hospital Sample: \ 380 cardiovascular patients (systematic random sampling) and all available healthcare providers (census approach) Tools: Standardized and validated questionnaires including SCL-90R, PSS, PSQI, MBI, and COPE Inventory Data Analysis: Descriptive and multivariate logistic regression analyses using SPSS v26
Interventions
OTHERPsychological Assessment using Validated Questionnaires
Participants will complete validated mental health questionnaires, including SCL-90R, COPE Inventory, Eysenck Personality Questionnaire, Perceived Stress Scale (PSS), Pittsburgh Sleep Quality Index (PSQI). Healthcare providers will additionally complete the Maslach Burnout Inventory (MBI). No experimental treatment or behavioral intervention will be applied.
Sponsors
Assiut University
Study design
Observational model
OTHER
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
Patients Age ≥ 18 years. Diagnosed with a cardiovascular disease (e.g., ischemic heart disease, heart failure, valvular disease). Able to understand and complete self-administered questionnaires or participate in structured interviews. Provided informed written consent. Healthcare Providers Physicians, residents, nurses, or allied staff working in the Department of Cardiovascular Medicine for ≥6 months. Provided informed written consent.
Exclusion criteria
Severe cognitive impairment or communication difficulties that prevent questionnaire completion. Refusal to participate.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Measuring the prevalence of depressive symptoms among cardiovascular patients assessed by SCL-90R | Within 12 months | The Symptom Checklist-90-Revised (SCL-90R) will be used to assess depression subscale scores among patients with cardiovascular diseases. A predefined cutoff score indicates the presence of depressive symptoms. Unit of measure: Percentage of participants with depressive symptoms (%) |
| Measuring the prevalence of anxiety symptoms among cardiovascular patients assessed by SCL-90R | Within 12 months | Anxiety subscale of SCL-90R will be used to quantify anxiety symptoms in patients. Unit of measure : Percentage of participants with anxiety symptoms (%) |
| Prevalence of burnout among healthcare providers assessed by Maslach Burnout Inventory (MBI) | Within 12 months | The Maslach Burnout Inventory (MBI) will be used to assess emotional exhaustion, depersonalization, and personal accomplishment among cardiology staff. Unit of measure : Percentage of participants meeting burnout criteria (%) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Association between sociodemographic and clinical factors and psychiatric symptoms | within 12 months | Multivariate logistic regression will be used to identify predictors (e.g., age, sex, job type, disease severity) associated with depression, anxiety, and burnout. Unit is Odds ratio (95% CI). |
| Mean Perceived Stress Scale (PSS) score among patients and providers | within 12 months | Perceived Stress Scale will be used to measure stress levels; higher scores indicate greater perceived stress. Unit of measure : Mean PSS score (0-40) |
Countries
Egypt
Contacts
Primary ContactHossam Loly Abdullah, bachelor's
Outcome results
None listed