38 research outputs found

    Challenges of observing mood in people with severe dementia

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    Ten long term care residents who were known to walk excessively and enter the private space of others participated in a three week trial that involved listening to a selection of their preferred music for 20 minutes daily. During the intervention, mood was observed (n=92 observations) in real time using Noldus Pocket Observer, a software package traditionally used to code behaviour from video footage. We used Lawton’s Modified Mood Scale to classify positive (interest, pleasure, joy), neutral and negative (sadness/depression, anxiety/fear, anger) mood. Rhythmic movement and happy tears were added to the positive mood state to capture anticipated mood associated with listening to music. During the intervention, positive mood was observed 58%, neutral mood 32% and negative mood 10%, of the time. Despite utilising gold standard methodology for training observers to recognise the nine mood states, and observers achieving 100% recognition in post training testing, the inter rater reliability (IRR) (n=11 observations) for observing the subtle categories of nine mood states the variability in duration of mood ranged from 6% to 11%, with interest and rhythmic movement having the greatest disparity. When the observations were coded for broader categories of positive, neutral and negative mood, the disparity in mood duration between observers was only 1-2% within categories/ across all categories. While the findings were not significantly different, this experience suggests that recognising and coding mood observation in older people with dementia beyond broad categories can be challenging during real time observatio
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