ABSTRACT
Objective:To construct a cognitive training program suitable for elderly patients with mild cognitive impairment based on horticultural therapy, so as to effectively slow down the cognitive decline of patients with mild cognitive impairment.Methods:Through searching the Chinese and English database literature of cognitive intervention from July 2000 to July 2020 and field visits to nursing homes, the draft intervention plan was formed. Two rounds of focus group interview were held to consult experts in cognitive impairment and geriatric care, etc., and to revise the intervention plan.Results:In the two rounds of focus group interview, the expert positive coefficient was 100%, the expert judgment basis was 0.84, the expert familiarity degree was 0.84, and the expert authority coefficient was 0.84. In the end, a 10-week cognitive intervention program targeting six cognitive domains -- "visuospatial/executive ability", "memory ability", "language ability", "attention ability", "abstract ability" and "naming ability" was formed, and the implementation steps of the program were improved.Conclusions:The construction process of cognitive training program for patients with mild cognitive impairment based on horticultural therapy theory is rigorous, scientific and feasible, and can be used to guide the cognitive training of patients with mild cognitive impairment.
ABSTRACT
OBJECTIVE:To strengthen application management of antibiotics in outpatients,promote rational use of antibiot-ics,and to provide reference for scientific management and decision-making in the hospital. METHODS:The proportion of outpa-tients receiving antibiotics in total outpatients was analyzed statistically during Jan. 2008-Jun. 2016. Utilization rate data of antibiot-ics in outpatients during 2008-2015 were used to establish Autoregressive integrated moving average model(ARIMA),and the data of the first half of 2016 was used to validate established model;the utilization rate trend of antibiotics in outpatients in the second half of 2016 was predicted. SPSS 20.0 statistical software was adopted for statistical analysis. RESULTS:Established ARIMA(2,1, 0)(2,1,0)12 model has higher fitting degree. There was a small difference between measured value and fitted value of utilization rate of antibiotics in outpatients in 2016. Average absolute error was 0.72%,and average relative error was 4.20%,within 95%confidence interval of fitted value. Dynamic trend of model predicted value was basically consistent with measured value. CONCLU-SIONS:ARIMA model simulates utilization rate trend of antibiotics in outpatients well,can be used for short-term prediction and dynamic analysis of utilization rate trend of antibiotics. However,for long-term prediction,various factors should be considered.