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基于复杂性理论的健康干预措施有效吗?一项范围综述。

Do complexity-informed health interventions work? A scoping review.

作者信息

Brainard Julii, Hunter Paul R

机构信息

Norwich Medical School, University of East Anglia, Norwich, NR4 7TJ, UK.

出版信息

Implement Sci. 2016 Sep 20;11(1):127. doi: 10.1186/s13012-016-0492-5.

Abstract

BACKGROUND

The lens of complexity theory is widely advocated to improve health care delivery. However, empirical evidence that this lens has been useful in designing health care remains elusive. This review assesses whether it is possible to reliably capture evidence for efficacy in results or process within interventions that were informed by complexity science and closely related conceptual frameworks.

METHODS

Systematic searches of scientific and grey literature were undertaken in late 2015/early 2016. Titles and abstracts were screened for interventions (A) delivered by the health services, (B) that explicitly stated that complexity science provided theoretical underpinning, and (C) also reported specific outcomes. Outcomes had to relate to changes in actual practice, service delivery or patient clinical indicators. Data extraction and detailed analysis was undertaken for studies in three developed countries: Canada, UK and USA. Data were extracted for intervention format, barriers encountered and quality aspects (thoroughness or possible biases) of evaluation and reporting.

RESULTS

From 5067 initial finds in scientific literature and 171 items in grey literature, 22 interventions described in 29 articles were selected. Most interventions relied on facilitating collaboration to find solutions to specific or general problems. Many outcomes were very positive. However, some outcomes were measured only subjectively, one intervention was designed with complexity theory in mind but did not reiterate this in subsequent evaluation and other interventions were credited as compatible with complexity science but reported no relevant theoretical underpinning. Articles often omitted discussion on implementation barriers or unintended consequences, which suggests that complexity theory was not widely used in evaluation.

CONCLUSIONS

It is hard to establish cause and effect when attempting to leverage complex adaptive systems and perhaps even harder to reliably find evidence that confirms whether complexity-informed interventions are usually effective. While it is possible to show that interventions that are compatible with complexity science seem efficacious, it remains difficult to show that explicit planning with complexity in mind was particularly valuable. Recommendations are made to improve future evaluation reports, to establish a better evidence base about whether this conceptual framework is useful in intervention design and implementation.

摘要

背景

复杂性理论视角被广泛提倡用于改善医疗服务的提供。然而,关于该视角在设计医疗保健方面是否有用的实证证据仍然难以捉摸。本综述评估了是否有可能在受复杂性科学及密切相关概念框架启发的干预措施中,可靠地获取结果或过程有效性的证据。

方法

于2015年末/2016年初对科学文献和灰色文献进行了系统检索。对标题和摘要进行筛选,寻找符合以下条件的干预措施:(A)由卫生服务机构提供;(B)明确指出复杂性科学提供了理论基础;(C)还报告了具体结果。结果必须与实际实践、服务提供或患者临床指标的变化相关。对加拿大、英国和美国这三个发达国家的研究进行了数据提取和详细分析。提取了干预形式、遇到的障碍以及评估和报告的质量方面(全面性或可能的偏差)的数据。

结果

从科学文献中的5067条初始检索结果和灰色文献中的171条记录中,筛选出了29篇文章中描述的22项干预措施。大多数干预措施依靠促进合作来寻找解决特定或一般问题的方法。许多结果非常积极。然而,一些结果仅通过主观测量得出,一项干预措施在设计时考虑了复杂性理论,但在后续评估中未再次提及,其他干预措施被认为与复杂性科学兼容,但未报告相关理论基础。文章常常省略了对实施障碍或意外后果的讨论,这表明复杂性理论在评估中并未得到广泛应用。

结论

在试图利用复杂适应系统时,很难确定因果关系,甚至更难可靠地找到证据来证实基于复杂性的干预措施通常是否有效。虽然有可能表明与复杂性科学兼容的干预措施似乎有效,但仍然难以证明明确以复杂性为导向的规划具有特别的价值。提出了一些建议,以改进未来的评估报告,建立一个关于这个概念框架在干预设计和实施中是否有用的更好的证据基础。

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