scholarly journals Meaningful Change Estimates for the Late-Life Function and Disability Instrument in Older Adults

2018 ◽  
Vol 74 (4) ◽  
pp. 556-559 ◽  
Author(s):  
Marla K Beauchamp ◽  
Rachel E Ward ◽  
Alan M Jette ◽  
Jonathan F Bean

Abstract Background The Late-Life Function and Disability Instrument (LLFDI) is a well-validated and frequently used patient-reported outcome for older adults. The aim of this study was to estimate the minimal clinically important difference (MCID) of the LLFDI-Function Component (LLFDI-FC) and its subscales among community-dwelling older adults with mobility limitations. Methods We performed a secondary analysis of the Boston Rehabilitative Impairment Study of the Elderly, a longitudinal cohort study of older adults with mobility limitations residing in the community. The MCID for each LLFDI-FC scale over 1 year of follow-up was estimated using both anchor- and distribution-based methods, including mean change scores on a patient-reported global rating of change in function scale, the standard error of measurement (SEM), and the minimal detectable change with 90% confidence (MDC90). Results Data from 320 older adults were used in the analysis (mean age 76 years, 69% female, mean of four chronic conditions). Meaningful change estimates for “small change” based on the global rating of change and SEM were 2, 3, 4, and 4 points for the LLFDI-FC overall function scale and basic lower-extremity, advanced lower-extremity, and upper-extremity subscales, respectively. Estimates for “substantial change” based on the global rating of change and minimal detectable change with 90% confidence were 5, 6, 9, and 10 points for the overall function scale and basic lower-extremity, advanced lower-extremity, and upper-extremity subscales, respectively. Conclusion This study provides the first MCID estimates for the LLFDI-FC, a widely used patient-reported measure of function. These values can be used to interpret the outcomes of longitudinal investigations of functional status in similar populations of community-dwelling older adults.

2020 ◽  
Vol 40 ◽  
pp. 684
Author(s):  
D.B. Estrada-deLeón ◽  
E.A. Struijk ◽  
F.F. Caballero ◽  
M. Sotos Prieto ◽  
F. Rodríguez-Artalejo ◽  
...  

2019 ◽  
Vol 28 (10) ◽  
pp. 793-799 ◽  
Author(s):  
Roel Boumans ◽  
Fokke van Meulen ◽  
Koen Hindriks ◽  
Mark Neerincx ◽  
Marcel G M Olde Rikkert

Background /ObjectivesHealthcare professionals (HCP) are confronted with an increased demand for assessments of important health status measures, such as patient-reported outcome measurements (PROM), and the time this requires. The aim of this study was to investigate the effectiveness and acceptability of using an HCP robot assistant, and to test the hypothesis that a robot can autonomously acquire PROM data from older adults.DesignA pilot randomised controlled cross-over study where a social robot and a nurse administered three PROM questionnaires with a total of 52 questions.SettingA clinical outpatient setting with community-dwelling older adults.ParticipantsForty-two community-dwelling older adults (mean age: 77.1 years, SD: 5.7 years, 45% female).MeasurementsThe primary outcome was the task time required for robot–patient and nurse–patient interactions. Secondary outcomes were the similarity of the data and the percentage of robot interactions completed autonomously. The questionnaires resulted in two values (robot and nurse) for three indexes of frailty, well-being and resilience. The data similarity was determined by comparing these index values using Bland-Altman plots, Cohen’s kappa (κ) and intraclass correlation coefficients (ICC). Acceptability was assessed using questionnaires.ResultsThe mean robot interview duration was 16.57 min (SD=1.53 min), which was not significantly longer than the nurse interviews (14.92 min, SD=8.47 min; p=0.19). The three Bland-Altman plots showed moderate to substantial agreement between the frailty, well-being and resilience scores (κ=0.61, 0.50 and 0.45, and ICC=0.79, 0.86 and 0.66, respectively). The robot autonomously completed 39 of 42 interviews (92.8%).ConclusionSocial robots may effectively and acceptably assist HCPs by interviewing older adults.


2017 ◽  
Vol 25 (4) ◽  
pp. 621-627 ◽  
Author(s):  
Yongwoo Lee ◽  
Wonjae Choi ◽  
Kyeongjin Lee ◽  
Changho Song ◽  
Seungwon Lee

Avatar-based three-dimensional technology is a new approach to improve physical function in older adults. The aim of this study was to use three-dimensional video gaming technology in virtual reality training to improve postural balance and lower extremity strength in a population of community-dwelling older adults. The experimental group participated in the virtual reality training program for 60 min, twice a week, for 6 weeks. Both experimental and control groups were given three times for falls prevention education at the first, third, and fifth weeks. The experimental group showed significant improvements not only in static and dynamic postural balance but also lower extremity strength (p < .05). Furthermore, the experimental group was improved to overall parameters compared with the control group (p < .05). Therefore, three-dimensional video gaming technology might be beneficial for improving postural balance and lower extremity strength in community-dwelling older adults.


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