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Clinical significance in nursing research: A discussion and descriptive analysis
Affiliation:1. Humanalysis, Inc.,75 Clinton Street, Saratoga Springs, NY, 12866 USA;2. Centre for Health Practice Innovation, Griffith University, 170 Kessels Road, Nathan, Brisbane, QLD, 4111 Australia
Abstract:BackgroundIt is widely understood that statistical significance should not be equated with clinical significance, but the topic of clinical significance has not received much attention in the nursing literature. By contrast, interest in conceptualizing and operationalizing clinical significance has been a “hot topic” in other health care fields for several decades.ObjectivesThe major purpose of this paper is to briefly describe recent advances in defining and quantifying clinical significance. The overview covers both group-level indicators of clinical significance (e.g., effect size indexes), and individual-level benchmarks (e.g., the minimal important change index). A secondary purpose is to describe the extent to which developments in clinical significance have penetrated the nursing literature.MethodsA descriptive analysis of a sample of primary research articles published in three high-impact nursing research journals in 2016 was undertaken. A total of 362 articles were electronically searched for terms relating to statistical and clinical significance.ResultsOf the 362 articles, 261 were reports of quantitative studies, the vast majority of which (93%) included a formal evaluation of the statistical significance of the results. By contrast, the term “clinical significance” or related surrogate terms were found in only 33 papers, and most often the term was used informally, without explicit definition or assessment.ConclusionsRaising consciousness about clinical significance should be an important priority among nurse researchers. Several recommendations are offered to improve the visibility and salience of clinical significance in nursing science.
Keywords:Change scores  Clinical significance  COSMIN  Effect size index  Evidence-based practice  Minimal important change  Minimal clinically important difference  Reliable Change Index  Responder analysis  Statistical significance
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