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| Demand for traditional Chinese medicine healthcare services among the elderly in community：A perspective of Andersen's behavioral model |
| ZHANG Xiao*, LI Chaochao, GUO Qing
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| *College of Basic Medical and Public Health,Zhejiang Chinese Medical University,Hangzhou,hejiang 310053,China |
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Abstract Objective To learn the demand for traditional Chinese medicine（TCM）healthcare services among the elderly people in community based on Andersen's behavioral model. Methods The people aged 60 years or above in six communities of Changqing Street,Xiacheng District,Hangzhou were recruited. Based on Andersen's behavioral model,a questionnaire was developed to investigate their demand for TCM healthcare services. The logistic regression model was used to analyze the influencing factors for the demand,and the advantage analysis method was used to figure out the importance of the influencing factors. Results A total of 360 questionnaires were sent out and 352（97.78%）valid questionnaires were recovered. There were 215（61.08%）people with demand for TCM healthcare services,ranking first in TCM health intervention and assessment（68.84%）,followed by TCM health consultation and guidance（42.79%）. The results of multivariate logistic regression analysis showed that age of 70 years old and over（OR：1.958-2.767,95%CI：1.087-6.493）,monthly income of 2 000 yuan and over（OR：2.757-3.409,95%CI：1.356-6.555）,modest family relation（OR=0.152,95%CI：0.076-0.306）,severity of disability（OR：2.980-4.332,95%CI：1.545-11.906）and severity of depression（OR：3.792-17.347,95%CI：1.972-68.020）were the influencing factors for TCM healthcare services demand of the elderly. Among them,the importance weights of the demand factors（disability and depression）,the ability factors（monthly income and family relation）and propensity factors（age）were 47.59%,34.02% and 18.39%,respectively. Conclusions Factors influencing the demand for TCM healthcare services in the elderly include age,monthly income,family relation,disability and depression,with the last two factors of the most importance.
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Received: 26 September 2019
Revised: 03 November 2019
Published: 10 January 2020
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