Attribution Analysis of Implementation Bias of Hierarchical Medical Policy Based on Procedural Grounded Theory

China Health Insurance ›› 2023, Vol. 0 ›› Issue (7) : 41-47.

China Health Insurance ›› 2023, Vol. 0 ›› Issue (7) : 41-47. DOI: 10.19546/j.issn.1674-3830.2023.7.005
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Attribution Analysis of Implementation Bias of Hierarchical Medical Policy Based on Procedural Grounded Theory

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Abstract

Objective: The paper explores the key reasons for the implementation deviation of graded diagnosis and treatment policies in China, establishes an attribution model, and provides policy suggestions for improving the hierarchical diagnosis and treatment system in China. Methods: Based on the programmatic grounded theory, the contents of 47 literature included were analyzed with NVivo12 software, and the factors affecting the implementation effect of graded diagnosis and treatment policies in China were preliminarily extracted. Results: After coding and analysis, 294 effective data units, 47 initial concepts, 18 subcategories, 4 main categories and 1 core category were obtained. Conclusion: Hierarchical diagnosis and treatment is a complex problem involving problem identification and process interpretation, and its implementation deviation is the result of multi-factor interaction, which can be summarized into four attribution paths, namely, the attribution of target groups' complexity, the attribution of policy subjects' limitation, the attribution of imperfect guarantee mechanism, and the attribution of particularity of policy environment.

Key words

hierarchical diagnosis and treatment / programmatic grounded theory / attribution analysis

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Attribution Analysis of Implementation Bias of Hierarchical Medical Policy Based on Procedural Grounded Theory[J]. China Health Insurance. 2023, 0(7): 41-47 https://doi.org/10.19546/j.issn.1674-3830.2023.7.005

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