Archives of Physical Medicine and Rehabilitation
Volume 89, Issue 11 , Pages 2140-2145, November 2008

Clinimetric Evaluation of the Physical Mobility Scale Supports Clinicians and Researchers in Residential Aged Care

  • Anna L. Barker, BPhty, MPhty

      Affiliations

    • Division of Physiotherapy, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia
    • The Northern Clinical Research Centre, Melbourne, Australia
    • Corresponding Author InformationReprint requests to Anna L. Barker, BPhty, MPhty, Division of Physiotherapy, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia
  • ,
  • Jennifer C. Nitz, BPhty, MPhty, PhD

      Affiliations

    • Division of Physiotherapy, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia
  • ,
  • Nancy L. Low Choy, BPhty, MPhty, PhD

      Affiliations

    • Faculty of Health Sciences and Medicine, Bond University, Robina, Australia
  • ,
  • Terry P. Haines, BPhty, PhD

      Affiliations

    • Southern Health, Melbourne, Australia
    • Monash University, Melbourne, Australia

Abstract 

Barker AL, Nitz JC, Low Choy NL, Haines TP. Clinimetric evaluation of the Physical Mobility Scale supports clinicians and researchers in residential aged care.

Objective

To investigate the interrater agreement and the internal construct validity of the Physical Mobility Scale, a tool routinely used to assess mobility of people living in residential aged care.

Design

Prospective, multicenter, external validation study.

Setting

Nine residential aged care facilities in Australia.

Participants

Residents (N=186). Phase 1 cohort (99 residents; mean age, 85.22±5.1y); phase 2 cohort (87 residents; mean age, 81.59±10.69y).

Interventions

Not applicable.

Main Outcome Measures

Kappa statistics, minimal detectable change (MDC90) scores, and Bland-Altman plots were used to assess interrater agreement. Scale unidimensionality, item hierarchy, and person separation were examined with Rasch analysis for both cohorts.

Results

Agreement between raters on 6 of the 9 Physical Mobility Scale items was high (κ>.60). The MDC90 value was 4.39 points, and no systematic differences in scores between raters were found. The Physical Mobility Scale showed a unidimensional structure demonstrated by fit to the Rasch model in both cohorts (phase 1: χ2=23.90, P=.16, person separation index=0.96; phase 2: χ2=22.00, P=.23, person separation index=0.96). Standing balance was the most difficult item in both cohorts (phase 1: logit=2.48, SE, 0.16; phase 2: logit=2.53, SE, 0.15). The person-item threshold map indicated no floor or ceiling effects in either cohort.

Conclusions

The Physical Mobility Scale demonstrated good interrater agreement and internal construct validity with good fit to the Rasch model in both cohorts. The comparative results across the 2 cohorts indicate generality of the findings. The Physical Mobility Scale total raw scores can be converted to Rasch transformed scores, providing an interval measure of mobility. The Physical Mobility Scale may be suited to a range of clinical and research applications in residential aged care.

Key Words: Aged, Nursing homes, Outcome assessment (health care), Rehabilitation

List of Abbreviations: BBS, Berg Balance Scale, MDC, minimal detectable change, MDC90, minimal detectable change at 90% confidence interval, PSI, person separation index, RMI, Rivermead Mobility Index

 

 No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit on the authors or on any organization with which the authors are associated.

 Supported by the School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia.

PII: S0003-9993(08)00551-0

doi:10.1016/j.apmr.2008.04.017

Archives of Physical Medicine and Rehabilitation
Volume 89, Issue 11 , Pages 2140-2145, November 2008