Advances on prediction on adherence

doi:10.3969/j.issn.1674-490X.2015.05.023

Abstract

Abstract: Adherence has an important significance on clinical effect and disease recovery. It is critical to predict adherence early and find out the important factors, which will help medical staff take specific interventions and then improve the patients’ adherence. This paper mainly introduces the development of concept of adherence, influence factors, prediction model and adherence rating score system. It will provide some basis to the research about adherence prediction.

Key words: adherence, prediction, prediction model, rating score system

CLC Number:

R-055

YANG Hui, WANG Yan. Advances on prediction on adherence[J]. Medical Reserch and Education, 2015, 32(6): 89-93.

References

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