Contributions
Abstract: P714
Type: Poster Sessions
Abstract Category: Clinical aspects of MS - Clinical assessment tools
Introduction: People managing Multiple Sclerosis (pmMS) experience impairment in cognition, mobility and fatigue. The BICAMS is a brief, objective cognitive clinical tool administered by non-NPs. The MSC-LC (ECTRIMS 2017) is a cognitive-linguistic patient report tool designed by the PI, to identify areas of functional cognitive deficit. PTs and OTs also administer objective / subjective tools assessing patient function. To date, no real world data exist on the correlation between these cognitive clinical tools and similar clinical tools of physical function and fatigue.
Objective: Identify correlations between cognitive objective/subjective clinical tools (BICAMS and MSC-LC), and objective/subjective clinical tools targeting mobility and fatigue (EDSS Score, Perceived Deficits Scale, T255FW, TUG, MSWS12, R and Left 9 HPT and MFIS-5.
Aims: To improve the quality of patient care, look for correlations, in a real world sample, between cognitive and physical clinical tools supporting referral between rehab disciplines (PT, OT, SLP)
Method: A 4 year, real world sample of clinical patient data were compiled into a database. Spearman Correlation Coefficients were used to determine significance between the clinical tools.
Results: The 3 assessment tools of the BICAMS correlated significantly with all but two measures of physical function and fatigue.
SDMT - EDSS < .000.1; Perceived deficits 0.0024; t25fw < .0001; TUG < .0001; MSWS12 < .0001; MFIS5 0.0029
CVLT2 - EDSS 0.0005; Perceived deficits 0.1361; t25fw 0.0010; TUG < .0001; MSWS12 < .0001; MFIS5 0.1719
BVMTR - EDSS 0.0001; Perceived deficits 0.0351; t25fw < 0.0001; TUG < .0001; MSWS12 < .0001; MFIS5 0.0012
The 20 questions on the MSC-LC correlated more significantly with subjective patient report tools than objective measures of physical function and fatigue. 20 of 20 questions correlated with the MFIS5, 19 of 20 questions correlated with the Perceived Deficits questionnaire, and 13 of 20 correlated with the MSWS12. Three of the questions on the MSC-LC correlated with all measures of physical function and fatigue (I am able to 1. complete my responsibilities at all levels of fatigue, 2. manage more than one task at a time, and 3. participate in conversations occurring in background noise)
Conclusion: There is correlation between clinical tools measuring cognition, physical function and fatigue. These real world data suggest methods can develop to support referral between rehabilitation specialists.
Disclosure: Lori Ann Kostich M.S. CCC-SLP, MSCS: Nothing to disclose.
Abstract: P714
Type: Poster Sessions
Abstract Category: Clinical aspects of MS - Clinical assessment tools
Introduction: People managing Multiple Sclerosis (pmMS) experience impairment in cognition, mobility and fatigue. The BICAMS is a brief, objective cognitive clinical tool administered by non-NPs. The MSC-LC (ECTRIMS 2017) is a cognitive-linguistic patient report tool designed by the PI, to identify areas of functional cognitive deficit. PTs and OTs also administer objective / subjective tools assessing patient function. To date, no real world data exist on the correlation between these cognitive clinical tools and similar clinical tools of physical function and fatigue.
Objective: Identify correlations between cognitive objective/subjective clinical tools (BICAMS and MSC-LC), and objective/subjective clinical tools targeting mobility and fatigue (EDSS Score, Perceived Deficits Scale, T255FW, TUG, MSWS12, R and Left 9 HPT and MFIS-5.
Aims: To improve the quality of patient care, look for correlations, in a real world sample, between cognitive and physical clinical tools supporting referral between rehab disciplines (PT, OT, SLP)
Method: A 4 year, real world sample of clinical patient data were compiled into a database. Spearman Correlation Coefficients were used to determine significance between the clinical tools.
Results: The 3 assessment tools of the BICAMS correlated significantly with all but two measures of physical function and fatigue.
SDMT - EDSS < .000.1; Perceived deficits 0.0024; t25fw < .0001; TUG < .0001; MSWS12 < .0001; MFIS5 0.0029
CVLT2 - EDSS 0.0005; Perceived deficits 0.1361; t25fw 0.0010; TUG < .0001; MSWS12 < .0001; MFIS5 0.1719
BVMTR - EDSS 0.0001; Perceived deficits 0.0351; t25fw < 0.0001; TUG < .0001; MSWS12 < .0001; MFIS5 0.0012
The 20 questions on the MSC-LC correlated more significantly with subjective patient report tools than objective measures of physical function and fatigue. 20 of 20 questions correlated with the MFIS5, 19 of 20 questions correlated with the Perceived Deficits questionnaire, and 13 of 20 correlated with the MSWS12. Three of the questions on the MSC-LC correlated with all measures of physical function and fatigue (I am able to 1. complete my responsibilities at all levels of fatigue, 2. manage more than one task at a time, and 3. participate in conversations occurring in background noise)
Conclusion: There is correlation between clinical tools measuring cognition, physical function and fatigue. These real world data suggest methods can develop to support referral between rehabilitation specialists.
Disclosure: Lori Ann Kostich M.S. CCC-SLP, MSCS: Nothing to disclose.