Service user experiences of a 4-week self-guided nature intervention for people with Parkinson's disease displaying depressive symptoms: A pilot study for intervention development
Year: 2024
Type: article
Abstract: Background People with Parkinson's disease are at an increased risk of developing depression. Nature interventions may help to reduce depression. This paper explored the feasibility, acceptability and participant attitudes towards a self-guided nature intervention for people with Parkinson's disease experiencing depressive symptoms. Methods The 4-week nature intervention was developed based on the CBT technique ‘behavioural activation’. The intervention aimed to increase positive activities, and in particular time in nature, into a person with Parkinson's routine. Service users were involved in intervention development. Attendance, study completion, and satisfaction were determined to determine intervention acceptability and feasibility. Participants took part in exit interviews to understand experiences and attitudes towards the intervention. Interviews were analysed using reflexive thematic analysis. Results Eleven people with Parkinson's disease who were experiencing depressive symptoms received the intervention. Two participants dropped out after 3 interventions sessions. The mean session satisfaction score was 8.86/10. Nine exit interviews were conducted. Three themes were discovered: 1) I was satisfied with the intervention; 2) The intervention helped my mental health; and 3) The perfect intervention would look like, which reflected suggestions for improvements to the intervention. Conclusions The nature intervention was feasible and acceptable and well received by people with Parkinson's disease.
Authors: Natasha Martland, Alexandra Palombi
Institution: Royal Holloway University of London
Language: English
Topic: Urban Green Space and Health
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,000
OpenAlex ID: W4402082345
