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The evolution and inter-sectoral interaction mechanism of China's national medical alliance: An analysis based on complex systems theory.
Feng, Chong; Zhu, Jianping; Chen, Yusheng.
Afiliación
  • Feng C; Management School, Xiamen University, Xiamen, China.
  • Zhu J; Data Mining Research Center, Xiamen University, Xiamen, China.
  • Chen Y; Management School, Xiamen University, Xiamen, China.
Int J Health Plann Manage ; 37(3): 1454-1476, 2022 May.
Article en En | MEDLINE | ID: mdl-34984751
ABSTRACT
This work investigates the performance and inter-sectoral interaction mechanism of China's largest vertically integrated care network, the national medical alliance (NMA). The data collected derive from the China Health Statistics Bulletin and the China Health Statistical Yearbook for the period 2009-2018. The data include 64 observation indicators for five medical sectors in the NMA, namely, tertiary hospitals (THS), secondary hospitals (SHS), community health centres (CHCS), township hospitals (TsHS) and professional public health institutions (PPHIS). This research combines complex systems theory with a multilevel structural dynamic factor model, and yields two main results. First, although the trend for the NMA's global factor is increasing, the evolutionary paths for sectoral factors differ substantially. Among the sectoral factors, the sectoral factor of THS continued to decline, and neither the sectoral factor of CHCS nor the sectoral factor of TsHS has significantly improved. Then, the interaction mechanism between the various NMA sectors is investigated. While a close relationship has been formed between THS and CHCS and between SHS and CHCS, there remains no close two-way relationship between either THS and TsHS or THS and SHS. Thus, going forward, to reach the policy expectations, China's NMA implementation must consider the interaction between different constituent sectors.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Teoría de Sistemas / Salud Pública Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Int J Health Plann Manage Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE / SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Teoría de Sistemas / Salud Pública Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Int J Health Plann Manage Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE / SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: China