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With the number of aged people increasing and the lifespan lengthen, dementia is becoming a great public challenge in China. Early recognition of dementia is crucial to improve the prognosis of dementia patients and decrease the society disease burden. It is a pity that the early recognition rate of dementia is less than 7% in China. Most of the aged people live in the community and general practitioners (GP) in community provide health service much more frequently than other medical workers. It is suggested that GPs should be the best one to screen dementia in its early period. However, most of GPs have not receive any training about dementia early recognition in China. It is imperative and meaningful to provide training to GPs for improve GPs' knowledge and skills about dementia early recognition. How to train GPs for early recognizing dementia and how about the training effect? Which training model may be better? We did not find consistent conclusion about these questions in China. This study aims to set up an effective and convenient model to training GPs in dementia early recognition. A total of 152 GPs in Beijing will be enrolled and be randomly divided into two groups. One group will firstly have lessons about dementia early recognition and then receive face-to-face supervision and key messages by Wechat about dementia early recognition once a month in the following 6 months. Another group will firstly have lessons about dementia early recognition and then receive face-to-face supervision and key messages by Wechat about dementia early recognition once a month in the following 3 months. The score of knowledge and attitude about dementia early recognition, the accuracy of analyzing dementia cases, the usage of dementia screening scales and the referral rate of dementia will be evaluated at different time point respectively. This study will provide evidence for training GPs effectively in dementia early recognition in the future and will promote dementia early recognition in community.
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162 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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