Building the foundation to generate a fundamental care standardised data set

Area of Science:

• Healthcare performance measurement
• Quality improvement in healthcare
• Fundamental care metrics

Background:

• Global healthcare transformation focuses on the Quadruple Aim: improving care experience, population health, provider experience, and reducing costs.
• Healthcare organizations utilize performance measurement and quality improvement to achieve the Quadruple Aim.
• A gap exists in standardized data sets and patient-experience indicators for fundamental care (nutrition, hydration, mobility, respect, education, psychosocial support).

Purpose of the Study:

• To provide an overview of current performance measurement in healthcare.
• To identify key trends in healthcare performance measurement.
• To propose a methodological approach for generating a standardized dataset for fundamental care.

Main Methods:

• Review of current performance measurement practices and trends.
• Analysis of existing healthcare quality improvement methodologies.
• Development of a methodological framework for a standardized fundamental care dataset.

Main Results:

• Current performance measurement landscape is fragmented, lacking standardized data for fundamental care patient experiences.
• Key trends indicate a move towards value-based care and patient-centered outcomes.
• A methodological approach is presented to facilitate the creation of a comparable, standardized dataset.

Conclusions:

• Generating a routinely collected dataset for fundamental care is essential due to its link with safety and quality metrics.
• Standardized datasets enable data comparability across diverse settings and populations.
• Such data will support informed clinical, administrative, and health policy decision-making.