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Facilitating the work of a meta-analyst
1University of Connecticut, School of Nursing U-26, Storrs 06269-2026, USA.
Research in Nursing & Health
|January 8, 2000
Summary
Meta-analysis synthesizes research for nurses, but data retrieval issues in primary studies, like missing statistics, hinder its effectiveness. Improving reporting standards can enhance knowledge transfer from research to clinical practice.
Area of Science:
- Nursing Research
- Evidence-Based Practice
- Quantitative Synthesis
Background:
- Meta-analysis is crucial for translating nursing research findings to clinical practice.
- This method faces challenges in synthesizing quantitative literature effectively.
- Existing literature reviews highlight benefits and criticisms of meta-analysis in nursing.
Purpose of the Study:
- To identify benefits and criticisms of meta-analysis within the nursing field.
- To delineate specific challenges encountered by meta-analysts during quantitative synthesis.
- To propose recommendations for authors, editors, and reviewers to improve data reporting.
Main Methods:
- Identification of common problems in data retrieval from primary nursing studies.
- Analysis of issues such as inexact p-values, incomplete sample descriptions, and reporting errors.
- Formulation of suggestions to mitigate these data retrieval roadblocks.
Main Results:
- Significant data retrieval problems were identified, including insufficient statistical values and incomplete methodological details.
- Errors in primary study tables and inadequate descriptions of samples and groups were common.
- Lack of precise statistical reporting impedes accurate quantitative literature reviews.
Conclusions:
- Enhancing the reporting standards of primary nursing studies is essential for effective meta-analysis.
- Authors should report exact statistical values and detailed methodological information.
- Editors and reviewers play a key role in ensuring comprehensive data availability for meta-analysts.