Abstract
BACKGROUND: Detection and management of late-life depression largely relies on primary care. Yet in Singapore, older adults are unlikely to seek help for their mental health from their primary care providers. This qualitative descriptive study explores how late-life depression manifests to general practitioners (GPs) in the Singaporean primary care setting. METHODS: Twenty-eight private GPs practicing in Singapore were asked about their clinical experience with late-life depression during semi-structured group and individual discussions conducted online. Participants were purposively sampled across age, gender, and ethnicity (Chinese, Malay, Indian). Transcripts were analysed with reflexive thematic analysis. FINDINGS: To GPs, depression in older patients often manifests through somatic symptoms or subtle behavioural changes, only detectable through follow-ups or collateral history. GPs reported that older patients attribute depressive symptoms to normal ageing or do not mention them, particularly within an Asian culture encouraging stoic endurance. GPs perceived late-life depression as reactions to ageing-related stressors, with male, low-income, or institutionalised patients being at particular risk of insidious, severe depression. GPs noted ethnic differences regarding families' involvement in care, which they described as helpful, but sometimes stress-provoking for patients. Fear of burdensomeness or loss of autonomy/social role could prompt rejection of diagnosis and treatment in patients. GPs considered good patient-doctor rapport as a facilitator at every step of the care process, noting more favourable prognosis in care-concordant patients. INTERPRETATION: Depression in older adults in Singapore can be covert, with favourable outcomes relying on GPs' ability to pick up on subtle changes, assess patients holistically, and build rapport with patients and families. FUNDING: This work was funded by the Division of Family Medicine Research Capabilities Building Budget under the project "Technology and Compassion: Improving Patient Outcomes Through Data Analytics and Patients' Voice in Primary Care" [NUHSRO/2022/049/NUSMed/DFM].