Differentiating among research, evaluation and measures to assure quality

Area of Science:

• Methodology
• Scientific Inquiry
• Healthcare Improvement

Background:

• Research, evaluation, and quality measurement are often conflated.
• Clear differentiation is crucial for appropriate application and interpretation.
• Existing frameworks may not adequately distinguish these related but distinct activities.

Purpose of the Study:

• To delineate the similarities, differences, and overlaps among research, evaluation, and quality measurement.
• To provide clear criteria for distinguishing these three concepts.
• To guide the selection of appropriate methods, support, and reporting for each.

Main Methods:

• Comparative analysis of research, evaluation, and quality measurement.
• Identification and application of key differentiating criteria.
• Criteria include: purpose, generalizability, intended use, subjects, and intent to prove causation.

Main Results:

• Distinct criteria were identified to differentiate research, evaluation, and quality measurement.
• Purpose, generalizability, intended use, subjects, and intent to prove causation emerged as key discriminators.
• These criteria facilitate tailored approaches to project design and execution.

Conclusions:

• Recognizing the unique characteristics of research, evaluation, and quality measurement is essential.
• Applying specific criteria aids in selecting appropriate methodologies and reporting standards.
• This distinction supports more effective and targeted scientific and quality improvement initiatives.