Using large data bases in nursing and health policy research

Area of Science:

• Health Services Research
• Health Informatics
• Nursing Research

Background:

• Growing interest in health policy research driven by concerns over healthcare quality, cost, and outcomes.
• Increased accessibility of large clinical and administrative healthcare databases for research purposes.
• Clinical databases capture patient care episodes and outcomes, while administrative databases cover indirect processes like claims and quality assurance.

Purpose of the Study:

• To highlight the potential of large clinical and administrative databases in health policy research.
• To address the challenges and special techniques required for analyzing large, multi-site databases with missing data.
• To identify the need for nursing-relevant data elements in existing databases to support nursing research.

Main Methods:

• Review of the characteristics and applications of large clinical and administrative healthcare databases.
• Discussion of data manipulation and analytic techniques necessary for large datasets.
• Identification of current limitations in nursing data within these databases.

Main Results:

• Large databases are utilized in epidemiology, risk assessment, technology assessment, and practice pattern variation studies.
• Existing large databases often lack nursing-specific data, hindering nursing research.
• Specialized data manipulation and analytical techniques are essential for large-scale health data.

Conclusions:

• There is a need to establish consensus on essential nursing data elements for inclusion in large databases.
• Integrating nursing data into ongoing data collection efforts by governmental and private organizations is vital.
• Enhancing large databases with nursing-relevant information will empower nurse researchers and improve health policy research.