Rugged landscapes: complexity and implementation science.

Rugged landscapes: complexity and implementation science.
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崎岖的地貌:复杂性与实施科学。

DOI:
10.1186/s13012-020-01028-5
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发表时间:
2020-09-29
期刊:
Implementation science : IS
影响因子:
--
通讯作者:
Brownson RC
Brownson RC
中科院分区:
其他
文献类型:
--
作者:
Ornstein JT;Hammond RA;Padek M;Mazzucca S;Brownson RC

文献摘要

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Mis-implementation—defined as failure to successfully implement and continue evidence-based programs—is widespread in public health practice. Yet the causes of this phenomenon are poorly understood. We develop an agent-based computational model to explore how complexity hinders effective implementation. The model is adapted from the evolutionary biology literature and incorporates three distinct complexities faced in public health practice: dimensionality, ruggedness, and context-specificity. Agents in the model attempt to solve problems using one of three approaches—Plan-Do-Study-Act (PDSA), evidence-based interventions (EBIs), and evidence-based decision-making (EBDM). The model demonstrates that the most effective approach to implementation and quality improvement depends on the underlying nature of the problem. Rugged problems are best approached with a combination of PDSA and EBI. Context-specific problems are best approached with EBDM. The model’s results emphasize the importance of adapting one’s approach to the characteristics of the problem at hand. Evidence-based decision-making (EBDM), which combines evidence from multiple independent sources with on-the-ground local knowledge, is a particularly potent strategy for implementation and quality improvement.
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