Computer activities for persons with dementia
Abstract
Purpose of the study: The study examined participant's experience and individual characteristics during a 7-week computer activity program for persons with dementia. Design and Methods: The descriptive study with mixed methods design collected 612 observational logs of computer sessions from 27 study participants, including individual interviews before and after the program. Quantitative data analysis included descriptive statistics, correlational coefficients, t-test, and chi-square. Content analysis was used to analyze qualitative data. Results: Each participant averaged 23 sessions and 591min for 7 weeks. Computer activities included slide shows with music, games, internet use, and emailing. On average, they had a high score of intensity in engagement per session. Women attended significantly more sessions than men. Higher education level was associated with a higher number of different activities used per session and more time spent on online games. Older participants felt more tired. Feeling tired was significantly correlated with a higher number of weeks with only one session attendance per week. More anticholinergic medications taken by participants were significantly associated with a higher percentage of sessions with disengagement. The findings were significant at p <. 05. Qualitative content analysis indicated tailoring computer activities appropriate to individual's needs and functioning is critical. All participants needed technical assistance. Implications: A framework for tailoring computer activities may provide guidance on developing and maintaining treatment fidelity of tailored computer activity interventions among persons with dementia. Practice guidelines and education protocols may assist caregivers and service providers to integrate computer activities into homes and aging services settings.
Publication Title
Gerontologist
Recommended Citation
Tak, S., Zhang, H., Patel, H., & Hong, S. (2015). Computer activities for persons with dementia. Gerontologist, 55, S140-S149. https://doi.org/10.1093/geront/gnv003