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Reporting sample size calculations for randomized controlled trials published in nursing journals: A cross-sectional
Wilson Tam1, Kenneth Lo2, Brigitte Woo1
1Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Many nursing randomized controlled trials (RCTs) lack proper sample size reporting. Only 15% of studies provided sufficient details for sample size re-computation, indicating inadequate methodology reporting in nursing research.
Area of Science:
- Clinical Research
- Nursing Science
- Biostatistics
Background:
- Sample size calculation is critical for the statistical power of randomized controlled trials (RCTs).
- Ensuring adequate power prevents participant over-recruitment and detects significant differences between groups.
- Compliance with sample size calculation reporting in nursing RCTs is not well-documented.
Purpose of the Study:
- To evaluate the reporting standards of sample size methodology in nursing journals.
- To identify the parameters used in sample size calculations for nursing RCTs.
- To assess the adequacy of reported sample size information.
Main Methods:
- A cross-sectional study analyzed RCTs published in 116 nursing journals from January to December 2016.
- Two-arm RCTs were reviewed for the mention and sufficiency of sample size estimation methods.
- Sample sizes were recomputed for RCTs with effect size data and compared to reported values.
Main Results:
- Of 223 included RCTs, 143 (64.1%) reported sample size methodology.
- Among those reporting, only 22 (15.4%) provided all necessary parameters for sample size computation.
- Reporting of significance level (92.3%), power (93.0%), and effect size (58.7%) varied, with only 15.4% providing complete information.
Conclusions:
- A significant proportion of nursing RCTs (36%) fail to report their sample size calculations.
- Inadequate reporting of sample size methodology and parameters is prevalent in nursing RCTs.
- Improved reporting standards are needed to ensure the rigor and reproducibility of nursing research.
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