Literature DB >> 16961097

Pathways, networks and choice in health care.

Justin Keen1, Jeanette Moore, Robert West.   

Abstract

PURPOSE: The purpose of the paper is to present an alternative to the supply chain model of health care delivery that currently informs most thinking about the design of care processes. DESIGN/METHODOLOGY/APPROACH: The paper draws on arguments from systems theories and public administration, to generate an analysis of the nature of health care processes. It sets out a model of services characterised by treatment and care needs that vary over time, that are inherently uncertain, involve frequent assessment and re-assessment, and provide patients and service providers with choices about treatment and care. Evidence from an evaluation of intermediate care is used to illustrate the analysis.
FINDINGS: The analysis suggests that both the supply chain and a more network-like model of health care processes can help us to understand health care processes. The two are complementary. RESEARCH LIMITATIONS/IMPLICATIONS: Largely conceptual in nature. The empirical evidence is taken from one study. The ideas are presented to stimulate thinking rather than to prove an argument. PRACTICAL IMPLICATIONS: The conceptualisation of care processes as network-like has implications for the way in which we think about the design and performance of health care systems. ORIGINALITY/VALUE: There have been few publications that seek to use both systems and network approaches to understand health care processes.

Entities:  

Mesh:

Year:  2006        PMID: 16961097     DOI: 10.1108/09526860610671373

Source DB:  PubMed          Journal:  Int J Health Care Qual Assur Inc Leadersh Health Serv        ISSN: 1366-0756


  1 in total

1.  Integration in primary community care networks (PCCNs): examination of governance, clinical, marketing, financial, and information infrastructures in a national demonstration project in Taiwan.

Authors:  Blossom Yen-Ju Lin
Journal:  BMC Health Serv Res       Date:  2007-06-19       Impact factor: 2.655

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.