Abstract
Depression is the most common mental health problem in older adults; however, a lack of understanding in the interaction between physical and social causes hinders effective treatment. Unique issues such as age-specific increases in comorbid physical problems and alienation from social contact can make it difficult for health providers to identify instances of depression. These also make it difficult for depressed older adults to communicate with their social resources, such as friends, family, and health providers. Integrating technology-assisted collaboration with members of patients' social network to observe and manage multi-dimensional factors in depressed older adults' states is a potential way to improve the quality of practitioners' treatment-planning around these multi-dimensional factors, as well as provide assistance for family and friends' involvement in managing the depression. We conducted an interview study on stakeholders' perceptions of depression and communication to understand the opportunities and challenges involved in implementing such collaborative design. Interviewees included 16 depressed older adult patients, 10 of their family members, and two psychiatrists. Our findings reveal new insights into 1) patients' and families' social values and understandings of patients' condition, as well as 2) how these values and understandings influenced decision-making on communicating with each other and acting on depression. These insights have implications for the consideration of information and communication systems to aid depressed older adults' recovery and engagement with social network members.
Original language | English |
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Article number | 74 |
Journal | Proceedings of the ACM on Human-Computer Interaction |
Volume | 7 |
Issue number | CSCW1 |
DOIs | |
Publication status | Published - 2023 Apr 16 |
Externally published | Yes |
Keywords
- collaborative health
- depression
- health technology
- mental health
- older adults
- qualitative methods
ASJC Scopus subject areas
- Social Sciences (miscellaneous)
- Human-Computer Interaction
- Computer Networks and Communications