Development of a nurse executive decision support database. A model for outcomes evaluation

Area of Science:

• Healthcare Management
• Nursing Practice Innovation
• Health Services Research

Background:

• Systematic evaluation of nursing innovations and practice changes is crucial for effective management.
• Strategic planning requires the identification of appropriate data elements for decision-making.
• Data collection and analysis strategies are essential for evaluating changes in nursing.

Purpose of the Study:

• To describe a model for systematically evaluating innovations and changes in nursing practice and management.
• To identify key data elements for effective decision-making in nursing.
• To outline strategies for data collection and analysis in nursing management.

Main Methods:

• The study describes a model for evaluating nursing practice and management changes.
• The model utilizes identifiable groups of variables for data collection.
• Variables include clinical, fiscal, quality, productivity, and care provider metrics.

Main Results:

• A model is presented for baseline and comparative evaluations of nursing innovations.
• The model incorporates a range of critical variables for comprehensive assessment.
• This approach supports data-driven decision-making for nurse executives.

Conclusions:

• Systematic evaluation using a defined model is essential for nurse executives.
• Identifying and collecting relevant data (clinical, fiscal, quality, productivity, care provider) is key to effective planning.
• The described model facilitates informed decision-making regarding nursing practice and management changes.