Wheelchair Mobility

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Christine M Mcdonough - One of the best experts on this subject based on the ideXlab platform.

  • development of a computer adaptive physical function instrument for social security administration disability determination
    Archives of Physical Medicine and Rehabilitation, 2013
    Co-Authors: Pengsheng Ni, Christine M Mcdonough, Alan M Jette, Kara Bogusz, Elizabeth E Marfeo, Elizabeth K Rasch, Diane E Brandt, Mark Meterko, Stephen M Haley
    Abstract:

    Abstract Objectives To develop and test an instrument to assess physical function for Social Security Administration (SSA) disability programs, the SSA-Physical Function (SSA-PF) instrument. Item response theory (IRT) analyses were used to (1) create a calibrated item bank for each of the factors identified in prior factor analyses, (2) assess the fit of the items within each scale, (3) develop separate computer-adaptive testing (CAT) instruments for each scale, and (4) conduct initial psychometric testing. Design Cross-sectional data collection; IRT analyses; CAT simulation. Setting Telephone and Internet survey. Participants Two samples: SSA claimants (n=1017) and adults from the U.S. general population (n=999). Interventions None. Main Outcome Measures Model fit statistics, correlation, and reliability coefficients. Results IRT analyses resulted in 5 unidimensional SSA-PF scales: Changing & Maintaining Body Position, Whole Body Mobility, Upper Body Function, Upper Extremity Fine Motor, and Wheelchair Mobility for a total of 102 items. High CAT accuracy was demonstrated by strong correlations between simulated CAT scores and those from the full item banks. On comparing the simulated CATs with the full item banks, very little loss of reliability or precision was noted, except at the lower and upper ranges of each scale. No difference in response patterns by age or sex was noted. The distributions of claimant scores were shifted to the lower end of each scale compared with those of a sample of U.S. adults. Conclusions The SSA-PF instrument contributes important new methodology for measuring the physical function of adults applying to the SSA disability programs. Initial evaluation revealed that the SSA-PF instrument achieved considerable breadth of coverage in each content domain and demonstrated noteworthy psychometric properties.

  • development of a computer adaptive physical function instrument for social security administration disability determination
    Archives of Physical Medicine and Rehabilitation, 2013
    Co-Authors: Christine M Mcdonough, Alan M Jette, Kara Bogusz, Elizabeth E Marfeo, Elizabeth K Rasch, Diane E Brandt, Mark Meterko, Stephen M Haley, Leighton Chan
    Abstract:

    Abstract Objectives To develop and test an instrument to assess physical function for Social Security Administration (SSA) disability programs, the SSA-Physical Function (SSA-PF) instrument. Item response theory (IRT) analyses were used to (1) create a calibrated item bank for each of the factors identified in prior factor analyses, (2) assess the fit of the items within each scale, (3) develop separate computer-adaptive testing (CAT) instruments for each scale, and (4) conduct initial psychometric testing. Design Cross-sectional data collection; IRT analyses; CAT simulation. Setting Telephone and Internet survey. Participants Two samples: SSA claimants (n=1017) and adults from the U.S. general population (n=999). Interventions None. Main Outcome Measures Model fit statistics, correlation, and reliability coefficients. Results IRT analyses resulted in 5 unidimensional SSA-PF scales: Changing & Maintaining Body Position, Whole Body Mobility, Upper Body Function, Upper Extremity Fine Motor, and Wheelchair Mobility for a total of 102 items. High CAT accuracy was demonstrated by strong correlations between simulated CAT scores and those from the full item banks. On comparing the simulated CATs with the full item banks, very little loss of reliability or precision was noted, except at the lower and upper ranges of each scale. No difference in response patterns by age or sex was noted. The distributions of claimant scores were shifted to the lower end of each scale compared with those of a sample of U.S. adults. Conclusions The SSA-PF instrument contributes important new methodology for measuring the physical function of adults applying to the SSA disability programs. Initial evaluation revealed that the SSA-PF instrument achieved considerable breadth of coverage in each content domain and demonstrated noteworthy psychometric properties.

Alyssa J. Schnorenberg - One of the best experts on this subject based on the ideXlab platform.

  • a comparison of glenohumeral joint kinematics and muscle activation during standard and geared manual Wheelchair Mobility
    Medical Engineering & Physics, 2019
    Co-Authors: Brooke A. Slavens, Omid Jahanian, Alyssa J. Schnorenberg, Elizabeth T Hsiaowecksler
    Abstract:

    Abstract The high prevalence of upper extremity joint injuries among manual Wheelchair users is largely attributed to the high repetitive loading during propulsion. The purpose of this study was to evaluate the effects of using geared wheels for manual Wheelchair Mobility on shoulder joint biomechanics. Fourteen able-bodied participants performed overground propulsion and ramp ascension using standard and geared manual Wheelchair wheels. Spatial temporal parameters, glenohumeral joint kinematics, and shoulder muscle activity were quantified. Findings indicated that regardless of the level of slope, the propulsion speed and stroke distance decreased significantly ( p  ≪ 0.001), and the stroke frequency increased significantly ( p  ≤ 0.025) during geared manual Wheelchair propulsion. The glenohumeral joint ranges of motion in the coronal plane ( p  ≤ 0.005) and peak joint angles in the coronal ( p  ≤ 0.023) and transverse ( p  ≤ 0.012) planes were significantly different between standard and geared wheels usage. Shoulder muscle activity was substantially less using the geared wheels with significant findings in the pectoralis major (level floor, p  ≤ 0.008) and infraspinatus ( p  ≤ 0.014) peak muscle activity, and the anterior deltoid ( p  ≤ 0.014) and pectoralis major ( p  ≤ 0.015) integrated muscle activity. However, the shoulder flexor normalized integrated muscle activity (muscle activity per stroke distance) was not different between the wheels.

  • biomechanical model for evaluation of pediatric upper extremity joint dynamics during Wheelchair Mobility
    Journal of Biomechanics, 2014
    Co-Authors: Alyssa J. Schnorenberg, Brooke A. Slavens, Mei Wang, Lawrence C Vogel, Peter A Smith
    Abstract:

    Pediatric manual Wheelchair users (MWU) require high joint demands on their upper extremity (UE) during Wheelchair Mobility, leading them to be at risk of developing pain and pathology. Studies have examined UE biomechanics during Wheelchair Mobility in the adult population; however, current methods for evaluating UE joint dynamics of pediatric MWU are limited. An inverse dynamics model is proposed to characterize three-dimensional UE joint kinematics and kinetics during pediatric Wheelchair Mobility using a SmartWheel instrumented handrim system. The bilateral model comprises thorax, clavicle, scapula, upper arm, forearm, and hand segments and includes the sternoclavicular, acromioclavicular, glenohumeral, elbow and wrist joints. A single 17 year-old male with a C7 spinal cord injury (SCI) was evaluated while propelling his Wheelchair across a 15-meter walkway. The subject exhibited wrist extension angles up to 60°, large elbow ranges of motion and peak glenohumeral joint forces up to 10% body weight. Statistically significant asymmetry of the wrist, elbow, glenohumeral and acromioclavicular joints was detected by the model. As demonstrated, the custom bilateral UE pediatric model may provide considerable quantitative insight into UE joint dynamics to improve Wheelchair prescription, training, rehabilitation and long-term care of children with orthopaedic disabilities. Further research is warranted to evaluate pediatric Wheelchair Mobility in a larger population of children with SCI to investigate correlations to pain, function and transitional changes to adulthood.

Stephen M Haley - One of the best experts on this subject based on the ideXlab platform.

  • development of a computer adaptive physical function instrument for social security administration disability determination
    Archives of Physical Medicine and Rehabilitation, 2013
    Co-Authors: Pengsheng Ni, Christine M Mcdonough, Alan M Jette, Kara Bogusz, Elizabeth E Marfeo, Elizabeth K Rasch, Diane E Brandt, Mark Meterko, Stephen M Haley
    Abstract:

    Abstract Objectives To develop and test an instrument to assess physical function for Social Security Administration (SSA) disability programs, the SSA-Physical Function (SSA-PF) instrument. Item response theory (IRT) analyses were used to (1) create a calibrated item bank for each of the factors identified in prior factor analyses, (2) assess the fit of the items within each scale, (3) develop separate computer-adaptive testing (CAT) instruments for each scale, and (4) conduct initial psychometric testing. Design Cross-sectional data collection; IRT analyses; CAT simulation. Setting Telephone and Internet survey. Participants Two samples: SSA claimants (n=1017) and adults from the U.S. general population (n=999). Interventions None. Main Outcome Measures Model fit statistics, correlation, and reliability coefficients. Results IRT analyses resulted in 5 unidimensional SSA-PF scales: Changing & Maintaining Body Position, Whole Body Mobility, Upper Body Function, Upper Extremity Fine Motor, and Wheelchair Mobility for a total of 102 items. High CAT accuracy was demonstrated by strong correlations between simulated CAT scores and those from the full item banks. On comparing the simulated CATs with the full item banks, very little loss of reliability or precision was noted, except at the lower and upper ranges of each scale. No difference in response patterns by age or sex was noted. The distributions of claimant scores were shifted to the lower end of each scale compared with those of a sample of U.S. adults. Conclusions The SSA-PF instrument contributes important new methodology for measuring the physical function of adults applying to the SSA disability programs. Initial evaluation revealed that the SSA-PF instrument achieved considerable breadth of coverage in each content domain and demonstrated noteworthy psychometric properties.

  • development of a computer adaptive physical function instrument for social security administration disability determination
    Archives of Physical Medicine and Rehabilitation, 2013
    Co-Authors: Christine M Mcdonough, Alan M Jette, Kara Bogusz, Elizabeth E Marfeo, Elizabeth K Rasch, Diane E Brandt, Mark Meterko, Stephen M Haley, Leighton Chan
    Abstract:

    Abstract Objectives To develop and test an instrument to assess physical function for Social Security Administration (SSA) disability programs, the SSA-Physical Function (SSA-PF) instrument. Item response theory (IRT) analyses were used to (1) create a calibrated item bank for each of the factors identified in prior factor analyses, (2) assess the fit of the items within each scale, (3) develop separate computer-adaptive testing (CAT) instruments for each scale, and (4) conduct initial psychometric testing. Design Cross-sectional data collection; IRT analyses; CAT simulation. Setting Telephone and Internet survey. Participants Two samples: SSA claimants (n=1017) and adults from the U.S. general population (n=999). Interventions None. Main Outcome Measures Model fit statistics, correlation, and reliability coefficients. Results IRT analyses resulted in 5 unidimensional SSA-PF scales: Changing & Maintaining Body Position, Whole Body Mobility, Upper Body Function, Upper Extremity Fine Motor, and Wheelchair Mobility for a total of 102 items. High CAT accuracy was demonstrated by strong correlations between simulated CAT scores and those from the full item banks. On comparing the simulated CATs with the full item banks, very little loss of reliability or precision was noted, except at the lower and upper ranges of each scale. No difference in response patterns by age or sex was noted. The distributions of claimant scores were shifted to the lower end of each scale compared with those of a sample of U.S. adults. Conclusions The SSA-PF instrument contributes important new methodology for measuring the physical function of adults applying to the SSA disability programs. Initial evaluation revealed that the SSA-PF instrument achieved considerable breadth of coverage in each content domain and demonstrated noteworthy psychometric properties.

Alan M Jette - One of the best experts on this subject based on the ideXlab platform.

  • development of a computer adaptive physical function instrument for social security administration disability determination
    Archives of Physical Medicine and Rehabilitation, 2013
    Co-Authors: Pengsheng Ni, Christine M Mcdonough, Alan M Jette, Kara Bogusz, Elizabeth E Marfeo, Elizabeth K Rasch, Diane E Brandt, Mark Meterko, Stephen M Haley
    Abstract:

    Abstract Objectives To develop and test an instrument to assess physical function for Social Security Administration (SSA) disability programs, the SSA-Physical Function (SSA-PF) instrument. Item response theory (IRT) analyses were used to (1) create a calibrated item bank for each of the factors identified in prior factor analyses, (2) assess the fit of the items within each scale, (3) develop separate computer-adaptive testing (CAT) instruments for each scale, and (4) conduct initial psychometric testing. Design Cross-sectional data collection; IRT analyses; CAT simulation. Setting Telephone and Internet survey. Participants Two samples: SSA claimants (n=1017) and adults from the U.S. general population (n=999). Interventions None. Main Outcome Measures Model fit statistics, correlation, and reliability coefficients. Results IRT analyses resulted in 5 unidimensional SSA-PF scales: Changing & Maintaining Body Position, Whole Body Mobility, Upper Body Function, Upper Extremity Fine Motor, and Wheelchair Mobility for a total of 102 items. High CAT accuracy was demonstrated by strong correlations between simulated CAT scores and those from the full item banks. On comparing the simulated CATs with the full item banks, very little loss of reliability or precision was noted, except at the lower and upper ranges of each scale. No difference in response patterns by age or sex was noted. The distributions of claimant scores were shifted to the lower end of each scale compared with those of a sample of U.S. adults. Conclusions The SSA-PF instrument contributes important new methodology for measuring the physical function of adults applying to the SSA disability programs. Initial evaluation revealed that the SSA-PF instrument achieved considerable breadth of coverage in each content domain and demonstrated noteworthy psychometric properties.

  • development of a computer adaptive physical function instrument for social security administration disability determination
    Archives of Physical Medicine and Rehabilitation, 2013
    Co-Authors: Christine M Mcdonough, Alan M Jette, Kara Bogusz, Elizabeth E Marfeo, Elizabeth K Rasch, Diane E Brandt, Mark Meterko, Stephen M Haley, Leighton Chan
    Abstract:

    Abstract Objectives To develop and test an instrument to assess physical function for Social Security Administration (SSA) disability programs, the SSA-Physical Function (SSA-PF) instrument. Item response theory (IRT) analyses were used to (1) create a calibrated item bank for each of the factors identified in prior factor analyses, (2) assess the fit of the items within each scale, (3) develop separate computer-adaptive testing (CAT) instruments for each scale, and (4) conduct initial psychometric testing. Design Cross-sectional data collection; IRT analyses; CAT simulation. Setting Telephone and Internet survey. Participants Two samples: SSA claimants (n=1017) and adults from the U.S. general population (n=999). Interventions None. Main Outcome Measures Model fit statistics, correlation, and reliability coefficients. Results IRT analyses resulted in 5 unidimensional SSA-PF scales: Changing & Maintaining Body Position, Whole Body Mobility, Upper Body Function, Upper Extremity Fine Motor, and Wheelchair Mobility for a total of 102 items. High CAT accuracy was demonstrated by strong correlations between simulated CAT scores and those from the full item banks. On comparing the simulated CATs with the full item banks, very little loss of reliability or precision was noted, except at the lower and upper ranges of each scale. No difference in response patterns by age or sex was noted. The distributions of claimant scores were shifted to the lower end of each scale compared with those of a sample of U.S. adults. Conclusions The SSA-PF instrument contributes important new methodology for measuring the physical function of adults applying to the SSA disability programs. Initial evaluation revealed that the SSA-PF instrument achieved considerable breadth of coverage in each content domain and demonstrated noteworthy psychometric properties.

  • spinal cord injury functional index item banks to measure physical functioning in individuals with spinal cord injury
    Archives of Physical Medicine and Rehabilitation, 2012
    Co-Authors: David S Tulsky, Alan M Jette, Claire Z Kalpakjian, Pamela A Kisala, Marcel P Dijkers, Gale G Whiteneck, Steven Kirshblum, Susan Charlifue
    Abstract:

    Abstract Tulsky DS, Jette AM, Kisala PA, Kalpakjian C, Dijkers MP, Whiteneck G, Ni P, Kirshblum S, Charlifue S, Heinemann AW, Forchheimer M, Slavin MD, Houlihan B, Tate DG, Dyson-Hudson T, Fyffe D, Williams S, Zanca J. Spinal Cord Injury-Functional Index: item banks to measure physical functioning in individuals with spinal cord injury. Objectives To develop a comprehensive set of patient-reported items to assess multiple aspects of physical functioning relevant to the lives of people with spinal cord injury (SCI), and to evaluate the underlying structure of physical functioning. Design Cross-sectional. Setting Inpatient and community. Participants Item pools of physical functioning were developed, refined, and field tested in a large sample of individuals (N=855) with traumatic SCI stratified by diagnosis, severity, and time since injury. Interventions None. Main Outcome Measure Spinal Cord Injury-Functional Index (SCI-FI) measurement system. Results Confirmatory factor analysis (CFA) indicated that a 5-factor model, including basic Mobility, ambulation, Wheelchair Mobility, self-care, and fine motor function, had the best model fit and was most closely aligned conceptually with feedback received from individuals with SCI and SCI clinicians. When just the items making up basic Mobility were tested in CFA, the fit statistics indicated strong support for a unidimensional model. Similar results were demonstrated for each of the other 4 factors, indicating unidimensional models. Conclusions Though unidimensional or 2-factor (Mobility and upper extremity) models of physical functioning make up outcomes measures in the general population, the underlying structure of physical function in SCI is more complex. A 5-factor solution allows for comprehensive assessment of key domain areas of physical functioning. These results informed the structure and development of the SCI-FI measurement system of physical functioning.

Brooke A. Slavens - One of the best experts on this subject based on the ideXlab platform.

  • a comparison of glenohumeral joint kinematics and muscle activation during standard and geared manual Wheelchair Mobility
    Medical Engineering & Physics, 2019
    Co-Authors: Brooke A. Slavens, Omid Jahanian, Alyssa J. Schnorenberg, Elizabeth T Hsiaowecksler
    Abstract:

    Abstract The high prevalence of upper extremity joint injuries among manual Wheelchair users is largely attributed to the high repetitive loading during propulsion. The purpose of this study was to evaluate the effects of using geared wheels for manual Wheelchair Mobility on shoulder joint biomechanics. Fourteen able-bodied participants performed overground propulsion and ramp ascension using standard and geared manual Wheelchair wheels. Spatial temporal parameters, glenohumeral joint kinematics, and shoulder muscle activity were quantified. Findings indicated that regardless of the level of slope, the propulsion speed and stroke distance decreased significantly ( p  ≪ 0.001), and the stroke frequency increased significantly ( p  ≤ 0.025) during geared manual Wheelchair propulsion. The glenohumeral joint ranges of motion in the coronal plane ( p  ≤ 0.005) and peak joint angles in the coronal ( p  ≤ 0.023) and transverse ( p  ≤ 0.012) planes were significantly different between standard and geared wheels usage. Shoulder muscle activity was substantially less using the geared wheels with significant findings in the pectoralis major (level floor, p  ≤ 0.008) and infraspinatus ( p  ≤ 0.014) peak muscle activity, and the anterior deltoid ( p  ≤ 0.014) and pectoralis major ( p  ≤ 0.015) integrated muscle activity. However, the shoulder flexor normalized integrated muscle activity (muscle activity per stroke distance) was not different between the wheels.

  • biomechanical model for evaluation of pediatric upper extremity joint dynamics during Wheelchair Mobility
    Journal of Biomechanics, 2014
    Co-Authors: Alyssa J. Schnorenberg, Brooke A. Slavens, Mei Wang, Lawrence C Vogel, Peter A Smith
    Abstract:

    Pediatric manual Wheelchair users (MWU) require high joint demands on their upper extremity (UE) during Wheelchair Mobility, leading them to be at risk of developing pain and pathology. Studies have examined UE biomechanics during Wheelchair Mobility in the adult population; however, current methods for evaluating UE joint dynamics of pediatric MWU are limited. An inverse dynamics model is proposed to characterize three-dimensional UE joint kinematics and kinetics during pediatric Wheelchair Mobility using a SmartWheel instrumented handrim system. The bilateral model comprises thorax, clavicle, scapula, upper arm, forearm, and hand segments and includes the sternoclavicular, acromioclavicular, glenohumeral, elbow and wrist joints. A single 17 year-old male with a C7 spinal cord injury (SCI) was evaluated while propelling his Wheelchair across a 15-meter walkway. The subject exhibited wrist extension angles up to 60°, large elbow ranges of motion and peak glenohumeral joint forces up to 10% body weight. Statistically significant asymmetry of the wrist, elbow, glenohumeral and acromioclavicular joints was detected by the model. As demonstrated, the custom bilateral UE pediatric model may provide considerable quantitative insight into UE joint dynamics to improve Wheelchair prescription, training, rehabilitation and long-term care of children with orthopaedic disabilities. Further research is warranted to evaluate pediatric Wheelchair Mobility in a larger population of children with SCI to investigate correlations to pain, function and transitional changes to adulthood.