Assessment of the Current Practice of Managing Depression in Patients with Asthma in Saudi Arabia: Physicians’ Views

OBJECTIVE: Depression is a common comorbidity in patients with asthma with a significant impact on clinical management. However, little information is available about physicians’ perceptions and current practices in identifying and managing depression in individuals with asthma in Saudi Arabia. Thus, this study aims to assess physicians’ views and current practices of identifying and managing depression in patients with asthma in Saudi Arabia. METHODS: A cross-sectional study was employed. Between September 2022 and February 2023, an online survey was distributed to physicians (general practitioners and family, internal and pulmonary medicine specialists) in Saudi Arabia. Descriptive statistics were performed to analyze the collected responses. RESULTS: Out of 1800 invited participants, a total of 1162 physicians completed the online survey. Nearly 40% of the respondents received adequate training for managing depression. More than 60% of physicians reported that depression interferes with self-management and worsens asthma symptoms, while 50% viewed the importance of regular screening for depression. Less than 40% (n=443) aim to identify depression during patients’ visits. Of those, only 20% always screen for depression in asthma patients. Physicians show a low level of confidence when asking patients about their feelings (30%), being able to recognize depression (23%), and knowing if patients have depression (23%). The most common barriers linked to recognizing depression are high workload (50%), lack of time to screen for depression (46%), limited knowledge about depression (42%), and poor training (41%). CONCLUSION: The rate of recognizing and confidently managing depression in asthmatic patients is significantly low. This is attributed to high workload, poor training, and limited knowledge about depression. There is a need to support psychiatric training and implement a systematic approach to depression detection in clinical settings.