Table 2.
Gaps that Limit Full Integration of Functional Assessment in Clinical Research
| Gap | Desirable characteristics of tools or research to fill the gap | What filling the gap would enable |
|---|---|---|
| Set of feasible measures for use in clinical settings | • Brief • Administration requires minimal training or equipment • Can be integrated into electronic health record and/or Medicare Minimum Data Set • Reliable and reproducible • Accurately assesses health domains relevant to function, even in people with multiple impairments (eg, cognitive assessment in people with hearing or visual impairment) |
Incorporation of functional measures in clinical care in a manner that is standardized and benchmarked across clinical settings |
| Data sets that characterize clinically relevant aspects of function | • Account for changes in function over time (dynamic or repeated measures) • Allow comparison of measured and reported function (from patient, caregivers, providers) • Assess individual preferences and values related to function • Assess acute stressors or precipitants of change in function |
Research to validate and more fully explore the role of function in health and clinical decision making |
| Population norms of function and its determinants, including for populations who are underrepresented in clinical research | • Can be used to explore racial, ethnic, and sex trends • Characterize expected functional trajectories associated with various chronic conditions, comorbidities, and procedures • Describe how changes in health domains over time relate to functional changes |
Early detection of decline in function and targeting for intervention |