Dyer I
University Hospital Birmingham NHS Trust, Queen Elizabeth Hospital, Edgbaston, UK.
Intensive Crit Care Nurs. 1997 Oct;13(5):259-65. doi: 10.1016/s0964-3397(97)80408-9.
Currently, much nursing practice is based on limited evidence, for example, small-scale research, case studies and clinical experience. In a mature science this would be undesirable, but nursing is in the early stages of development as a science, and many of its practices depend on relatively informal knowledge. To encourage the spread of potentially valuable ideas, nurses must be willing to share their clinical experience and journal editors should consider publishing this information. High-quality research is essential to the long-term development of 'evidence-based practice', but it is crucial at the present stage of nursing science that we do not become too concerned with perfect research methodology at the expense of good ideas. This particularly applies to tests of statistical significance. If we accept only information that has demonstrated statistical significance, we risk the dismissal of qualitative research and other information which may be extremely valuable but which have not yet been fully investigated. The aim of this paper is to convince practitioners and journal editors that statistical significance is not the only way to judge clinical importance and to suggest that decisions on what should be submitted and accepted for publication should be based on potential clinical relevance as well as statistical analysis.
目前，许多护理实践基于有限的证据，例如小规模研究、案例分析和临床经验。在一门成熟的科学中，这是不可取的，但护理作为一门科学尚处于发展初期，其许多实践依赖于相对非正式的知识。为鼓励有潜在价值的想法传播，护士必须愿意分享他们的临床经验，期刊编辑也应考虑发表此类信息。高质量研究对于“循证实践”的长期发展至关重要，但在护理科学的现阶段，至关重要的是我们不能过于关注完美的研究方法而牺牲好的想法。这尤其适用于统计显著性检验。如果我们只接受已证明具有统计显著性的信息，我们可能会摒弃定性研究和其他可能极有价值但尚未充分研究的信息。本文旨在说服从业者和期刊编辑，统计显著性并非判断临床重要性的唯一方式，并建议关于提交和接受发表内容的决策应基于潜在的临床相关性以及统计分析。
