Published online by Cambridge University Press: 22 June 2020
Older adults’ mental health problems are a growing public health concern, especially because their rate of mental health service use is particularly low. Decades of mental health service utilisation models have been developed, yet key assumptions from these models focus primarily on factors that facilitate or inhibit access into the treatment system without taking into considering the dynamics of how individuals respond to their mental health problems and engage in service utilisation. More recently, dynamic models like the Network Episode Model (NEM-II) have been developed to challenge the underlying, rational choice assumption of traditional utilisation models. Given the multifaceted and complex nature of older adults’ mental health problems, the objective of this study was to examine whether the NEM-II is a helpful and appropriate model for understanding the dynamic process of how older adults navigate the mental health system, including factors that advanced and delayed help-seeking. Our qualitative analyses from 15 interviews with older adults revealed that their backgrounds, social supports and treatment systems influence, and are influenced by, their illness careers. Factors that delayed help-seeking included: a lack of support, ‘inappropriate’ referrals/advice from treatment professionals and poor mental health literacy. This research suggests the NEM-II is a helpful and appropriate theory for understanding older adults’ pathways to treatment, and has implications to enhance older adults’ access to psychological services.