Advertisement
Original research| Volume 101, ISSUE 7, P1199-1203, July 2020

The Six-Clicks Mobility Measure: A Useful Tool for Predicting Discharge Disposition

Published:April 06, 2020DOI:https://doi.org/10.1016/j.apmr.2020.02.016

      Abstract

      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.

      Keywords

      List of abbreviations:

      AM-PAC (Activity Measure for Post-Acute Care), HER (electronic health record)
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Archives of Physical Medicine and Rehabilitation
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Henke R.M.
        • Karaca Z.
        • Jackson P.
        • Marder W.D.
        • Wong H.S.
        Discharge planning and hospital readmissions.
        Med Care Res Rev. 2017; 74: 345-368
        • Ragavan M.V.
        • Svec D.
        • Shieh L.
        Barriers to timely discharge from the general medicine service at an academic teaching hospital.
        Postgrad Med J. 2017; 93: 528-533
        • Sadeghi B.
        • Walling A.M.
        • Romano P.S.
        • Ahluwalia S.C.
        • Ong M.K.
        A hospital-based advance care planning intervention for patients with heart failure: a feasibility study.
        J Palliat Med. 2016; 19: 451-455
        • Singh S.
        • Nosyk B.
        • Sun H.
        • Christenson J.M.
        • Innes G.
        • Anis A.H.
        Value of information of a clinical prediction rule: informing the efficient use of healthcare and health research resources.
        Int J Technol Assess Health Care. 2008; 24: 112-119
        • Ahmad F.S.
        • Metlay J.P.
        • Barg F.K.
        • Henderson R.R.
        • Werner R.M.
        Identifying hospital organizational strategies to reduce readmissions.
        Am J Med Qual. 2013; 28: 278-285
        • Tabak Y.P.
        • Sun X.
        • Nunez C.M.
        • Johannes R.S.
        Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS).
        J Am Med Inform Assoc. 2014; 21: 455-463
        • Tabak Y.P.
        • Sun X.
        • Derby K.G.
        • Kurtz S.G.
        • Johannes R.S.
        Development and validation of a disease-specific risk adjustment system using automated clinical data.
        Health Serv Res. 2010; 45: 1815-1835
        • Jette D.U.
        • Stilphen M.
        • Ranganathan V.K.
        • Passek S.D.
        • Frost F.S.
        • Jette A.M.
        AM-PAC "6-clicks" functional assessment scores predict acute care hospital discharge destination.
        Phys Ther. 2014; 94: 1252-1261
        • Jette D.U.
        • Stilphen M.
        • Ranganathan V.K.
        • Passek S.
        • Frost F.S.
        • Jette A.M.
        Interrater reliability of AM-PAC "6-clicks" basic mobility and daily activity short forms.
        Phys Ther. 2015; 95: 758-766
        • Jette D.U.
        • Stilphen M.
        • Ranganathan V.K.
        • Passek S.D.
        • Frost F.S.
        • Jette A.M.
        Validity of the AM-PAC "6-clicks" inpatient daily activity and basic mobility short forms.
        Phys Ther. 2014; 94: 379-391
        • Phillips W.
        • Hershey M.
        • Willcutts K.
        • Dietzler-Otte J.
        The effectiveness of the Braden Scale as a tool for identifying nutrition risk.
        J Acad Nutr Diet. 2018; 118: 385-391
        • Menendez M.E.
        • Schumacher C.S.
        • Ring D.
        • Freiberg A.A.
        • Rubash H.E.
        • Kwon Y.M.
        Does "6-clicks" day 1 postoperative mobility score predict discharge disposition after total hip and knee arthroplasties?.
        J Arthroplasty. 2016; 31: 1916-1920
        • Bergstrom N.
        • Braden B.
        • Kemp M.
        • Champagne M.
        • Ruby E.
        Predicting pressure ulcer risk: a multisite study of the predictive validity of the Braden Scale.
        Nurs Res. 1998; 47: 261-269
        • Braden Scale for Predicting Pressure Sore Risk
        (Available at:) (Accessed April 24, 2020)
        • Valiani V.
        • Chen Z.
        • Lipori G.
        • Pahor M.
        • Sabba C.
        • Manini T.M.
        Prognostic value of Braden Activity Subscale for mobility status in hospitalized older adults.
        J Hosp Med. 2017; 12: 396-401
        • Languasco A.
        • Cazap N.
        • Marciano S.
        • et al.
        Hemoglobin concentration variations over time in general medical inpatients.
        J Hosp Med. 2010; 5: 283-288
        • Hoyer E.H.
        • Young D.L.
        • Klein L.M.
        • et al.
        Toward a common language for measuring patient mobility in the hospital: reliability and construct validity of interprofessional mobility measures.
        Phys Ther. 2018; 98: 133-142
        • Ballester N.
        • Parikh P.J.
        • Donlin M.
        • May E.K.
        • Simon S.R.
        An early warning tool for predicting at admission the discharge disposition of a hospitalized patient.
        Am J Manag Care. 2018; 24: e325-e331
        • Johnson T.
        • McNutt R.
        • Odwazny R.
        • Patel D.
        • Baker S.
        Discrepancy between admission and discharge diagnoses as a predictor of hospital length of stay.
        J Hosp Med. 2009; 4: 234-239