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The Six-Clicks Mobility Measure: A Useful Tool for Predicting Discharge Disposition
Elizabeth R Pfoh1, Aaron Hamilton1, Bo Hu2
1Center for Value-Based Care Research, Medicine Institute, Cleveland Clinic, Cleveland, Ohio.
Archives of Physical Medicine and Rehabilitation
|April 10, 2020
Summary
The 6-clicks score effectively predicts patient discharge destination, outperforming the Braden scale. Integrating electronic health record data offers minor improvements for discharge planning.
Area of Science:
- Gerontology
- Health Services Research
- Clinical Prediction Models
Background:
- Accurate prediction of hospital discharge destination is crucial for effective patient care and resource allocation.
- Functional mobility is a key factor influencing discharge disposition.
- Existing tools for assessing mobility may have limitations in predictive accuracy.
Purpose of the Study:
- To evaluate the predictive performance of the 6-clicks score and the Braden scale mobility score for hospital discharge destination.
- To determine the added value of electronic health record (EHR) data to these mobility measures.
Main Methods:
- A retrospective cohort study was conducted on 19,963 inpatient admissions from a large integrated health system.
- Predictive models incorporated patient demographics, laboratory values, vital signs, and functional mobility (6-clicks score, Braden scale) within 48 hours of admission.
- The primary outcome was discharge destination (home vs. other).
Main Results:
- The 6-clicks score demonstrated moderate discrimination for discharge destination (c-statistic=0.78), outperforming the Braden scale (c-statistic=0.68).
- EHR data alone showed poor predictive ability (c-statistic=0.66).
- Adding EHR data to the 6-clicks model resulted in a modest increase in predictive accuracy (adjusted c-statistic=0.80).
Conclusions:
- The 6-clicks score is a valuable tool for predicting discharge destination within 48 hours of hospital admission.
- Early identification of patients likely to be discharged home can facilitate timely discharge planning.
- While EHR data offers some additional predictive value, functional mobility assessment remains a primary predictor.

