Qualitative study on adherence to prescribed antipsychotics in individuals with schizophrenia in regional Victoria, Australia
Year: 2026
Type: article
Abstract: Non-adherence to prescribed antipsychotics contributes to relapse of psychotic symptoms, increasing risks of rehospitalisation, involuntary treatment, and higher health-care costs. Little is known about medication adherence experiences of adults with schizophrenia residing in regional Australia. This qualitative study explored why individuals aged 25–65 years with schizophrenia living in regional Victoria adhere to their prescribed antipsychotic medication. Eleven purposively selected participants completed one-to-one semi-structured interviews, which were recorded, transcribed, and analysed using Braun and Clarke’s Reflexive Thematic Analysis. Interviews were carried out between 15 April 2024 and 10 February 2025. Three overarching themes were identified: adherence as avoidance of adverse consequences, adherence within relationships of dependency and constrained choice, and medication as a pathway to stability and everyday life. Participants described adherence as motivated by fear of hospitalisation, worsening psychosocial circumstances, loss of support, limited autonomy in treatment decision-making, perceived benefits of medication, established routines, and the desire to maintain social relationships and everyday functioning. The findings suggest that adherence among adults with schizophrenia in regional Australia is influenced by a complex interaction of perceived benefits, social relationships, support systems, and treatment experiences. Expanding home visits, strengthening telehealth, integrating peer support workers, promoting social prescribing, improving regional mental health research, and enhancing social infrastructure may support sustained adherence. Multidisciplinary efforts have a key role in addressing these needs.
Source: Communications Health
Language: English
Subfield: Family Practice
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7223476967