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Titre : | The Six-Clicks Mobility Measure: A Useful Tool for Predicting Discharge Disposition (2020) |
Auteurs : | Elizabeth R. Pfoh ; Aaron Hamilton ; Bo Hu |
Type de document : | Article |
Dans : | Archives of Physical Medicine and Rehabilitation (Vol. 101, n° 7, 2020) |
Article en page(s) : | p. 1199-1203 |
Note générale : | https://doi.org/10.1016/j.apmr.2020.02.016 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Planification hospitalière ; Réadaptation ; Sortie du patient |
Résumé : |
Objective
To assess the predictive capabilities of 2 measures of functional mobility, the 6-clicks score and the Braden scale mobility score. We also identified the additional predictive value of adding electronic health record data (demographics, laboratory data, and vital signs) to each model. Design Cohort study. Setting A large integrated health system. Participants Patients ≥18 years of age (N=17,022) admitted to the inpatient medical service of one of 8 hospitals. Interventions None. Main Outcome Measures Predictive measures were patient demographics, laboratory values, vital signs, and functional mobility as measured by the 6-clicks score within the first 48 hours of hospital admission. Our outcome was discharge destination (home vs other). Results Our final sample included 19,963 records. Patients were discharged alive from 19,698 admissions. The majority were women (n=11,729, 59%) with a mean age of 73 (standard deviation, 15.3) years. Patients initial 6-clicks score had moderate discrimination for discharge destination (c-statistic of 0.78) and outperformed the Braden score (c-statistic of 0.68). Electronic health record data alone had poor discrimination (c-statistic of 0.66) and added little to the model of 6-clicks alone (adjusted c-statistic increased from 0.78 to 0.80). Conclusion Functional mobility measured via 6-clicks within 48 hours of admission can help identify patients who are likely to go home, facilitating early discharge planning. |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S0003999320301714 |