Reliability and validity of the Grip-Ball dynamometer for grip-strength measurement

Author(s):  
A. Chkeir ◽  
R. Jaber ◽  
D. J. Hewson ◽  
J. Duchene
2020 ◽  
Vol 27 (3) ◽  
pp. 1-10
Author(s):  
Stefan J Ortmann ◽  
Jürg Kesselring ◽  
Jan Kool

Background/Aims Robotic assisted devices are increasingly used in neurological rehabilitation for improving upper extremity function. The new hand therapy device Manovo Power of the Armeo Power provides integrated assessment of grip strength measurement. Reliability and validity of the grip strength measurement are unknown. The aim of this study was to evaluate the reliability and validity of grip strength measurement with the hand module of the Manovo Power robot-assisted device compared with a Biometrics E-Link hand-grip dynamometer. Methods This was a cross-sectional study design with grip strength measurements taken once a day for a total of 3 days, with a 2-day interval in between each test. Participants of the study were patients <24 months after first stroke with reduced hand function (n=51). Relative reliability was evaluated using intraclass correlation coefficients (ICC) (2,1). Satisfactory reliability was defined as an ICC>0.8. Absolute reliability was evaluated using limits of agreement (LoA). Validity was supported if the correlation between measures with the two devices was >0.6. Results The robotic device had good intra-rater reliability (ICC=0.89, 95% confidence interval [CI] 0.81–0.94, LoA 1.23–1.16) and inter-rater reliability (ICC=0.91, 95% CI 0.85–0.95, LoA 1.01–1.23). Intra-rater reliability of the Biometrics E-Link grip strength dynamometer was higher compared with the robotic device (ICC=0.98, 95% CI 0.96–0.99, LoA 3.94–4.42). Validity was confirmed by a correlation between devices of 0.76 (95% CI 0.60–0.85). Conclusions Measurement of grip strength with the robotic device was reliable and valid in patients with stroke and impaired hand function. There was no absolute measurement error that might have indicated a learning effect. Reliability was higher for the Biometrics E-Link grip strength dynamometer compared with the robotic-assisted device. Using the robotic device for grip strength measurement in patients who exercise with that device saves time and increases efficiency.


2012 ◽  
Vol 38 (2) ◽  
pp. 183-186 ◽  
Author(s):  
C. Savva ◽  
C. Karagiannis ◽  
A. Rushton

The objective of this study was to investigate the test–retest reliability of measurement of grip strength in full elbow extension. The grip strengths of 19 healthy participants were measured using the Jamar dynamometer by the same rater on two occasions with an interval of 7 days between measures. Test–retest reliability of grip strength measurement was excellent in full elbow extension and associated with low values of standard error of measurement and small variations in the differences between the two measurements in both testing sessions.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Gloria Y Kim ◽  
Arati A Gangadharan ◽  
Craig S Brown ◽  
Nicholas H Osborne ◽  
Matthew Corriere

Introduction: Objective screening for frailty is seldom performed because existing tools are time consuming and usually applied post-hoc. Implementation of efficient and feasible frailty screening approaches within clinic is needed. Purpose and hypothesis: We implemented grip strength measurement as a frailty screening tool in a cardiovascular clinic setting and compared this to existing frailty assessment tools, including the modified frailty index-5 (mFI-5) and -11 (mFI-11). We hypothesized that grip strength would be comparable to the mFI-5 and -11, associated with common adverse events including urinary incontinence (UI) and falls, and increased diagnosis of frailty would occur as a result implementation. Methods: Grip strength measurement was integrated into clinic intake to screen for weakness, a frailty component. Measurements were performed routinely for cardiovascular clinic visits and entered into the EMR data field. Categorical frailty was assessed based on 20 th percentile for grip strength (kg) adjusted for gender and BMI. A “dotphrase” statement was built to streamline clinical documentation, and quarterly newsletters were used to disseminate coding and other related information. Categorical tests were used to evaluate associations between grip, weakness, and other measures of frailty. Results: A total of 4,447 unique patients had grip strength measured. Mean age was 63.3±15.6, BMI 29.6±7.0, 47.6% (n=2,115) were female, and 86.5% were Caucasian/White. Based on grip strength, 34.6% (n=1,538) were weak, and 22.0% (n=980) and 16.9% (n=754) were frail based on mFI-5 and mFI-11, respectively. Less than 10% (n=408, 9.25%) had a history of falls and 39 (0.88%) had UI. Falls were associated with weakness (P<0.001) but UI was not. Only 45 (1.01%) had a coded frailty diagnosis in the EMR. Among those with a frailty diagnosis, 35 (77.8%) were considered frail by grip. The negative predictive value (NPV) of the grip strength when mFI-5 is used as the gold standard is 0.84. Conclusions: Grip strength is both feasible and practical for frailty screening in clinical environments. Mismatch between screening-based and coding-based frailty prevalence suggests an opportunity to improve risk screening through routine grip strength assessment.


2019 ◽  
Vol 60 (4) ◽  
pp. 437-442 ◽  
Author(s):  
Philip J. Hanwright ◽  
Jennifer L. Rath ◽  
Nicholas Guionneau ◽  
Thomas G.W Harris ◽  
Karim A. Sarhane ◽  
...  

2021 ◽  
Vol 73 (1) ◽  
pp. 250-257
Author(s):  
Thomas E. Reeve ◽  
Timothy E. Craven ◽  
Matthew P. Goldman ◽  
Justin B. Hurie ◽  
Gabriela Velazquez-Ramirez ◽  
...  

2019 ◽  
Vol 69 (1) ◽  
pp. e19-e20
Author(s):  
Thomas E. Reeve ◽  
Timothy E. Craven ◽  
Matthew P. Goldman ◽  
Justin B. Hurie ◽  
Gabriela Velazquez-Ramirez ◽  
...  

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