Lower AM-PAC 6-Clicks Basic Mobility Score Predicts Discharge to a Postacute Care Facility Among Patients in Cardiac Intensive Care Units

被引:13
|
作者
Whitlock, Katelyn C. [1 ]
Mandala, Mahender [2 ,3 ]
Bishop, Kathy Lee [4 ]
Moll, Vanessa [5 ]
Sharp, Jennifer J. [4 ]
Krishnan, Shilpa [4 ,6 ]
机构
[1] Emory Univ Hosp, Dept Rehabil Therapy, Atlanta, GA USA
[2] Georgia Inst Technol, Sch Interact Comp, Coll Comp, Atlanta, GA USA
[3] Apollo Neurosci Inc, Pittsburgh, PA USA
[4] Emory Univ, Dept Rehabil Med, Div Phys Therapy, Sch Med, Atlanta, GA 30322 USA
[5] Emory Sch Med, Dept Anesthesiol, Div Crit Care Med, Atlanta, GA USA
[6] US Dept Vet Affairs, Ctr Visual & Neurocognit Rehabil, Atlanta VA Hlth Care Syst, Decatur, GA 30033 USA
来源
PHYSICAL THERAPY | 2022年 / 102卷 / 01期
关键词
Cardiac Intensive Care Unit; Cardiovascular Diseases; Discharge Location; Function; Insurance; Health; Post-Acute Care; PHYSICAL THERAPIST PRACTICE; TERM ACUTE-CARE; FUNCTIONAL STATUS; OUTCOME MEASURES; HOME DISCHARGE; REHABILITATION; MOBILIZATION; SURVIVORS; ICU;
D O I
10.1093/ptj/pzab252
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Objective The objective of this study was to determine the ability of the Activity Measure for Post-Acute Care "6-Clicks" Basic Mobility Short Form to predict patient discharge destination (home vs postacute care [PAC] facility) from the cardiac intensive care unit (ICU), including patients from the cardiothoracic surgical ICU and coronary care unit. Methods This retrospective cohort study utilized electronic medical records of patients in cardiac ICU (n = 359) in an academic teaching hospital in the southeastern region of United States from September 1, 2017, through August 31, 2018. Results The median interquartile range age of the sample was 68 years (75-60), 55% were men, the median interquartile range 6-Clicks score was 16 (20-12) at the physical therapist evaluation, and 79% of the patients were discharged to home. Higher score on 6-Clicks indicates improved function. A prediction model was constructed based on a machine learning approach using a classification tree. The classification tree was constructed and evaluated by dividing the sample into a train-test split using the Leave-One-Out cross-validation approach. The classification tree split the data into 4 distinct groups along with their predicted outcomes. Patients with a 6-Clicks score >15.5 and a score between 11.5 and 15.5 with primary insurance other than Medicare were discharged to home. Patients with a 6-Clicks score between 11.5 and 15.5 with Medicare insurance and those with a score <= 11.5 were discharged to a PAC facility. Conclusion Patients with lower 6-Clicks scores were more likely to be discharged to a PAC facility. Patients without Medicare insurance had to be significantly lower functioning, as indicated by lower 6-Clicks scores for PAC facility placement than those with Medicare insurance. Impact The ability of 6-Clicks along with primary insurance to determine discharge destination allows for early discharge planning from cardiac ICUs.
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页数:9
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