Contributions
Abstract: EP1823
Type: ePoster
Abstract Category: Therapy - symptomatic - 33 Treatment of specific symptoms
Background: Persons with Multiple Sclerosis (pwMS) each experience unique constellations of cognitive symptoms. Standardized assessment tools, such as the BICAMS, do not offer a pwMS the opportunity to express explicit examples of functional challenges in day to day routines. Speech-Language Pathologists (SLPs) treat the symptoms of cognitive impairment, but require information from patients about cognitive challenges the pwMS may be experiencing. A Multiple Sclerosis Cognitive-Linguistic Checklist (MSC-LC) was developed by a SLP at a Comprehensive MS Care Center in the U.S., and was revised through a Delphi Protocol with patients at the Comprehensive Care Center acting as the “experts” on the panel (unpublished). Content, format and appearance of the MSC-LC was generated with direct input of pwMS managing the disease progression on a daily basis. In order to provide a complete clinical picture of the pwMS, both objective and subjective data need to be collected. The MSC-LC has been in clinical use in conjunction with the BICAMS for approximately one year.
Goal: In order to improve the quality of patient care…determine if scores on the MSC-LC in correlate with the BICAMS when collected during the same assessment. As these are clinical data, there are no exclusions from these calculations.
Results: The MSC-LC contains 20 questions. Of the individual questions:
Eleven correlate with the SDMT at a value of p< .05; (55%)
Thirteen correlate with the CVLT2 at a value of p< .05; (65%)
Ten correlate with the BVMTR at a value of p< .05; (50%)
Correlations are as follows when the 20 questions are grouped by content:
Language Retrieval - SDMT (p=0.0061), CVLT2 (p=0.073), BVMTR (p=0.057)
Managing Distractions - SDMT (p=0.011), CVLT2 (p=0.001), BVMTR (p=0.057)
Conversation - SDMT (p=0.021), CVLT2 (p=0.0064), BVMTR (p=0.066)
Information Management - SDMT (p=0.0019), CVLT2 (p=0.0055), BVMTR (p=0.0007)
Organization - SDMT (p=0.0013), CVLT2 (p=0.0051), BVMTR (p=0.454)
Conclusion: The majority of questions on the MSC-LC are correlated with standardized measures of cognitive impairment (BICAMS). Future directions- determine if ruling out groups with optic neuritis and/or non-native English speakers will change the correlations.
Disclosure:
Lori Ann Kostich M.S. CCC-SLP, MSCS has nothing to disclose.
Dorothy Wakefield M.S. PStat has nothing to disclose.
Project Funded by a BestCare Pilot and Training Grant through St. Francis Hospital, Hartford, CT U.S.A.
Abstract: EP1823
Type: ePoster
Abstract Category: Therapy - symptomatic - 33 Treatment of specific symptoms
Background: Persons with Multiple Sclerosis (pwMS) each experience unique constellations of cognitive symptoms. Standardized assessment tools, such as the BICAMS, do not offer a pwMS the opportunity to express explicit examples of functional challenges in day to day routines. Speech-Language Pathologists (SLPs) treat the symptoms of cognitive impairment, but require information from patients about cognitive challenges the pwMS may be experiencing. A Multiple Sclerosis Cognitive-Linguistic Checklist (MSC-LC) was developed by a SLP at a Comprehensive MS Care Center in the U.S., and was revised through a Delphi Protocol with patients at the Comprehensive Care Center acting as the “experts” on the panel (unpublished). Content, format and appearance of the MSC-LC was generated with direct input of pwMS managing the disease progression on a daily basis. In order to provide a complete clinical picture of the pwMS, both objective and subjective data need to be collected. The MSC-LC has been in clinical use in conjunction with the BICAMS for approximately one year.
Goal: In order to improve the quality of patient care…determine if scores on the MSC-LC in correlate with the BICAMS when collected during the same assessment. As these are clinical data, there are no exclusions from these calculations.
Results: The MSC-LC contains 20 questions. Of the individual questions:
Eleven correlate with the SDMT at a value of p< .05; (55%)
Thirteen correlate with the CVLT2 at a value of p< .05; (65%)
Ten correlate with the BVMTR at a value of p< .05; (50%)
Correlations are as follows when the 20 questions are grouped by content:
Language Retrieval - SDMT (p=0.0061), CVLT2 (p=0.073), BVMTR (p=0.057)
Managing Distractions - SDMT (p=0.011), CVLT2 (p=0.001), BVMTR (p=0.057)
Conversation - SDMT (p=0.021), CVLT2 (p=0.0064), BVMTR (p=0.066)
Information Management - SDMT (p=0.0019), CVLT2 (p=0.0055), BVMTR (p=0.0007)
Organization - SDMT (p=0.0013), CVLT2 (p=0.0051), BVMTR (p=0.454)
Conclusion: The majority of questions on the MSC-LC are correlated with standardized measures of cognitive impairment (BICAMS). Future directions- determine if ruling out groups with optic neuritis and/or non-native English speakers will change the correlations.
Disclosure:
Lori Ann Kostich M.S. CCC-SLP, MSCS has nothing to disclose.
Dorothy Wakefield M.S. PStat has nothing to disclose.
Project Funded by a BestCare Pilot and Training Grant through St. Francis Hospital, Hartford, CT U.S.A.