Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study
Background There is an unmet need for reliable and sensitive measures for better monitoring people with multiple sclerosis (PwMS) to detect disease progression early and adapt therapeutic measures accordingly. Objective To assess reliability of extracted features and meaningfulness of 11 tests appli...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Woelfle, Tim [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of neurology - [Darmstadt] : Steinkopff, 1891, 270(2022), 1 vom: 30. Aug., Seite 262-271 |
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| Übergeordnetes Werk: |
volume:270 ; year:2022 ; number:1 ; day:30 ; month:08 ; pages:262-271 |
| Links: |
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| DOI / URN: |
10.1007/s00415-022-11306-5 |
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| Katalog-ID: |
SPR048972649 |
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| 245 | 1 | 0 | |a Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study |
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| 520 | |a Background There is an unmet need for reliable and sensitive measures for better monitoring people with multiple sclerosis (PwMS) to detect disease progression early and adapt therapeutic measures accordingly. Objective To assess reliability of extracted features and meaningfulness of 11 tests applied through a smartphone application (“dreaMS”). Methods PwMS (age 18–70 and EDSS ≤ 6.5) and matched healthy volunteers (HV) were asked to perform tests installed on their smartphone once or twice weekly for 5 weeks. Primary outcomes were test–retest reliability of test features (target: intraclass correlation [ICC] ≥ 0.6 or median coefficient of variation [mCV] < 0.2) and reported meaningfulness of the tests by PwMS. Meaningfulness was self-assessed for each test on a 5-point Likert scale (target: mean score of > 3) and by a structured interview. ClinicalTrials.gov Identifier: NCT04413032. Results We included 31 PwMS (21 [68%] female, mean age 43.4 ± 12.0 years, median EDSS 3.0 [range 1.0–6.0]) and 31 age- and sex-matched healthy volunteers. Out of 133 features extracted from 11 tests, 89 met the preset reliability criteria. All 11 tests were perceived as highly meaningful to PwMS. Conclusion The dreaMS app reliably assessed features reflecting key functional domains meaningful to PwMS. More studies with longer follow-up are needed to prove validity of these measures as digital biomarkers in PwMS. | ||
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| 700 | 1 | |a Wiencierz, Andrea |0 (orcid)0000-0001-8786-7915 |4 aut | |
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10.1007/s00415-022-11306-5 doi (DE-627)SPR048972649 (SPR)s00415-022-11306-5-e DE-627 ger DE-627 rakwb eng Woelfle, Tim verfasserin (orcid)0000-0001-6279-4158 aut Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background There is an unmet need for reliable and sensitive measures for better monitoring people with multiple sclerosis (PwMS) to detect disease progression early and adapt therapeutic measures accordingly. Objective To assess reliability of extracted features and meaningfulness of 11 tests applied through a smartphone application (“dreaMS”). Methods PwMS (age 18–70 and EDSS ≤ 6.5) and matched healthy volunteers (HV) were asked to perform tests installed on their smartphone once or twice weekly for 5 weeks. Primary outcomes were test–retest reliability of test features (target: intraclass correlation [ICC] ≥ 0.6 or median coefficient of variation [mCV] < 0.2) and reported meaningfulness of the tests by PwMS. Meaningfulness was self-assessed for each test on a 5-point Likert scale (target: mean score of > 3) and by a structured interview. ClinicalTrials.gov Identifier: NCT04413032. Results We included 31 PwMS (21 [68%] female, mean age 43.4 ± 12.0 years, median EDSS 3.0 [range 1.0–6.0]) and 31 age- and sex-matched healthy volunteers. Out of 133 features extracted from 11 tests, 89 met the preset reliability criteria. All 11 tests were perceived as highly meaningful to PwMS. Conclusion The dreaMS app reliably assessed features reflecting key functional domains meaningful to PwMS. More studies with longer follow-up are needed to prove validity of these measures as digital biomarkers in PwMS. Multiple sclerosis (dpeaa)DE-He213 Digital biomarkers (dpeaa)DE-He213 Smartphone (dpeaa)DE-He213 Smartwatch (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 Pless, Silvan (orcid)0000-0002-9660-9077 aut Reyes, Oscar (orcid)0000-0003-0169-297X aut Wiencierz, Andrea (orcid)0000-0001-8786-7915 aut Feinstein, Anthony (orcid)0000-0002-0132-0909 aut Calabrese, Pasquale (orcid)0000-0003-3347-5187 aut Gugleta, Konstantin (orcid)0000-0002-3520-2791 aut Kappos, Ludwig (orcid)0000-0003-4175-5509 aut Lorscheider, Johannes (orcid)0000-0003-1100-2506 aut Naegelin, Yvonne (orcid)0000-0002-1315-4100 aut Enthalten in Journal of neurology [Darmstadt] : Steinkopff, 1891 270(2022), 1 vom: 30. Aug., Seite 262-271 (DE-627)242065155 (DE-600)1421299-7 1432-1459 nnns volume:270 year:2022 number:1 day:30 month:08 pages:262-271 https://dx.doi.org/10.1007/s00415-022-11306-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 270 2022 1 30 08 262-271 |
| spelling |
10.1007/s00415-022-11306-5 doi (DE-627)SPR048972649 (SPR)s00415-022-11306-5-e DE-627 ger DE-627 rakwb eng Woelfle, Tim verfasserin (orcid)0000-0001-6279-4158 aut Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background There is an unmet need for reliable and sensitive measures for better monitoring people with multiple sclerosis (PwMS) to detect disease progression early and adapt therapeutic measures accordingly. Objective To assess reliability of extracted features and meaningfulness of 11 tests applied through a smartphone application (“dreaMS”). Methods PwMS (age 18–70 and EDSS ≤ 6.5) and matched healthy volunteers (HV) were asked to perform tests installed on their smartphone once or twice weekly for 5 weeks. Primary outcomes were test–retest reliability of test features (target: intraclass correlation [ICC] ≥ 0.6 or median coefficient of variation [mCV] < 0.2) and reported meaningfulness of the tests by PwMS. Meaningfulness was self-assessed for each test on a 5-point Likert scale (target: mean score of > 3) and by a structured interview. ClinicalTrials.gov Identifier: NCT04413032. Results We included 31 PwMS (21 [68%] female, mean age 43.4 ± 12.0 years, median EDSS 3.0 [range 1.0–6.0]) and 31 age- and sex-matched healthy volunteers. Out of 133 features extracted from 11 tests, 89 met the preset reliability criteria. All 11 tests were perceived as highly meaningful to PwMS. Conclusion The dreaMS app reliably assessed features reflecting key functional domains meaningful to PwMS. More studies with longer follow-up are needed to prove validity of these measures as digital biomarkers in PwMS. Multiple sclerosis (dpeaa)DE-He213 Digital biomarkers (dpeaa)DE-He213 Smartphone (dpeaa)DE-He213 Smartwatch (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 Pless, Silvan (orcid)0000-0002-9660-9077 aut Reyes, Oscar (orcid)0000-0003-0169-297X aut Wiencierz, Andrea (orcid)0000-0001-8786-7915 aut Feinstein, Anthony (orcid)0000-0002-0132-0909 aut Calabrese, Pasquale (orcid)0000-0003-3347-5187 aut Gugleta, Konstantin (orcid)0000-0002-3520-2791 aut Kappos, Ludwig (orcid)0000-0003-4175-5509 aut Lorscheider, Johannes (orcid)0000-0003-1100-2506 aut Naegelin, Yvonne (orcid)0000-0002-1315-4100 aut Enthalten in Journal of neurology [Darmstadt] : Steinkopff, 1891 270(2022), 1 vom: 30. Aug., Seite 262-271 (DE-627)242065155 (DE-600)1421299-7 1432-1459 nnns volume:270 year:2022 number:1 day:30 month:08 pages:262-271 https://dx.doi.org/10.1007/s00415-022-11306-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 270 2022 1 30 08 262-271 |
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10.1007/s00415-022-11306-5 doi (DE-627)SPR048972649 (SPR)s00415-022-11306-5-e DE-627 ger DE-627 rakwb eng Woelfle, Tim verfasserin (orcid)0000-0001-6279-4158 aut Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background There is an unmet need for reliable and sensitive measures for better monitoring people with multiple sclerosis (PwMS) to detect disease progression early and adapt therapeutic measures accordingly. Objective To assess reliability of extracted features and meaningfulness of 11 tests applied through a smartphone application (“dreaMS”). Methods PwMS (age 18–70 and EDSS ≤ 6.5) and matched healthy volunteers (HV) were asked to perform tests installed on their smartphone once or twice weekly for 5 weeks. Primary outcomes were test–retest reliability of test features (target: intraclass correlation [ICC] ≥ 0.6 or median coefficient of variation [mCV] < 0.2) and reported meaningfulness of the tests by PwMS. Meaningfulness was self-assessed for each test on a 5-point Likert scale (target: mean score of > 3) and by a structured interview. ClinicalTrials.gov Identifier: NCT04413032. Results We included 31 PwMS (21 [68%] female, mean age 43.4 ± 12.0 years, median EDSS 3.0 [range 1.0–6.0]) and 31 age- and sex-matched healthy volunteers. Out of 133 features extracted from 11 tests, 89 met the preset reliability criteria. All 11 tests were perceived as highly meaningful to PwMS. Conclusion The dreaMS app reliably assessed features reflecting key functional domains meaningful to PwMS. More studies with longer follow-up are needed to prove validity of these measures as digital biomarkers in PwMS. Multiple sclerosis (dpeaa)DE-He213 Digital biomarkers (dpeaa)DE-He213 Smartphone (dpeaa)DE-He213 Smartwatch (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 Pless, Silvan (orcid)0000-0002-9660-9077 aut Reyes, Oscar (orcid)0000-0003-0169-297X aut Wiencierz, Andrea (orcid)0000-0001-8786-7915 aut Feinstein, Anthony (orcid)0000-0002-0132-0909 aut Calabrese, Pasquale (orcid)0000-0003-3347-5187 aut Gugleta, Konstantin (orcid)0000-0002-3520-2791 aut Kappos, Ludwig (orcid)0000-0003-4175-5509 aut Lorscheider, Johannes (orcid)0000-0003-1100-2506 aut Naegelin, Yvonne (orcid)0000-0002-1315-4100 aut Enthalten in Journal of neurology [Darmstadt] : Steinkopff, 1891 270(2022), 1 vom: 30. Aug., Seite 262-271 (DE-627)242065155 (DE-600)1421299-7 1432-1459 nnns volume:270 year:2022 number:1 day:30 month:08 pages:262-271 https://dx.doi.org/10.1007/s00415-022-11306-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 270 2022 1 30 08 262-271 |
| allfieldsGer |
10.1007/s00415-022-11306-5 doi (DE-627)SPR048972649 (SPR)s00415-022-11306-5-e DE-627 ger DE-627 rakwb eng Woelfle, Tim verfasserin (orcid)0000-0001-6279-4158 aut Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background There is an unmet need for reliable and sensitive measures for better monitoring people with multiple sclerosis (PwMS) to detect disease progression early and adapt therapeutic measures accordingly. Objective To assess reliability of extracted features and meaningfulness of 11 tests applied through a smartphone application (“dreaMS”). Methods PwMS (age 18–70 and EDSS ≤ 6.5) and matched healthy volunteers (HV) were asked to perform tests installed on their smartphone once or twice weekly for 5 weeks. Primary outcomes were test–retest reliability of test features (target: intraclass correlation [ICC] ≥ 0.6 or median coefficient of variation [mCV] < 0.2) and reported meaningfulness of the tests by PwMS. Meaningfulness was self-assessed for each test on a 5-point Likert scale (target: mean score of > 3) and by a structured interview. ClinicalTrials.gov Identifier: NCT04413032. Results We included 31 PwMS (21 [68%] female, mean age 43.4 ± 12.0 years, median EDSS 3.0 [range 1.0–6.0]) and 31 age- and sex-matched healthy volunteers. Out of 133 features extracted from 11 tests, 89 met the preset reliability criteria. All 11 tests were perceived as highly meaningful to PwMS. Conclusion The dreaMS app reliably assessed features reflecting key functional domains meaningful to PwMS. More studies with longer follow-up are needed to prove validity of these measures as digital biomarkers in PwMS. Multiple sclerosis (dpeaa)DE-He213 Digital biomarkers (dpeaa)DE-He213 Smartphone (dpeaa)DE-He213 Smartwatch (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 Pless, Silvan (orcid)0000-0002-9660-9077 aut Reyes, Oscar (orcid)0000-0003-0169-297X aut Wiencierz, Andrea (orcid)0000-0001-8786-7915 aut Feinstein, Anthony (orcid)0000-0002-0132-0909 aut Calabrese, Pasquale (orcid)0000-0003-3347-5187 aut Gugleta, Konstantin (orcid)0000-0002-3520-2791 aut Kappos, Ludwig (orcid)0000-0003-4175-5509 aut Lorscheider, Johannes (orcid)0000-0003-1100-2506 aut Naegelin, Yvonne (orcid)0000-0002-1315-4100 aut Enthalten in Journal of neurology [Darmstadt] : Steinkopff, 1891 270(2022), 1 vom: 30. Aug., Seite 262-271 (DE-627)242065155 (DE-600)1421299-7 1432-1459 nnns volume:270 year:2022 number:1 day:30 month:08 pages:262-271 https://dx.doi.org/10.1007/s00415-022-11306-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 270 2022 1 30 08 262-271 |
| allfieldsSound |
10.1007/s00415-022-11306-5 doi (DE-627)SPR048972649 (SPR)s00415-022-11306-5-e DE-627 ger DE-627 rakwb eng Woelfle, Tim verfasserin (orcid)0000-0001-6279-4158 aut Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background There is an unmet need for reliable and sensitive measures for better monitoring people with multiple sclerosis (PwMS) to detect disease progression early and adapt therapeutic measures accordingly. Objective To assess reliability of extracted features and meaningfulness of 11 tests applied through a smartphone application (“dreaMS”). Methods PwMS (age 18–70 and EDSS ≤ 6.5) and matched healthy volunteers (HV) were asked to perform tests installed on their smartphone once or twice weekly for 5 weeks. Primary outcomes were test–retest reliability of test features (target: intraclass correlation [ICC] ≥ 0.6 or median coefficient of variation [mCV] < 0.2) and reported meaningfulness of the tests by PwMS. Meaningfulness was self-assessed for each test on a 5-point Likert scale (target: mean score of > 3) and by a structured interview. ClinicalTrials.gov Identifier: NCT04413032. Results We included 31 PwMS (21 [68%] female, mean age 43.4 ± 12.0 years, median EDSS 3.0 [range 1.0–6.0]) and 31 age- and sex-matched healthy volunteers. Out of 133 features extracted from 11 tests, 89 met the preset reliability criteria. All 11 tests were perceived as highly meaningful to PwMS. Conclusion The dreaMS app reliably assessed features reflecting key functional domains meaningful to PwMS. More studies with longer follow-up are needed to prove validity of these measures as digital biomarkers in PwMS. Multiple sclerosis (dpeaa)DE-He213 Digital biomarkers (dpeaa)DE-He213 Smartphone (dpeaa)DE-He213 Smartwatch (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 Pless, Silvan (orcid)0000-0002-9660-9077 aut Reyes, Oscar (orcid)0000-0003-0169-297X aut Wiencierz, Andrea (orcid)0000-0001-8786-7915 aut Feinstein, Anthony (orcid)0000-0002-0132-0909 aut Calabrese, Pasquale (orcid)0000-0003-3347-5187 aut Gugleta, Konstantin (orcid)0000-0002-3520-2791 aut Kappos, Ludwig (orcid)0000-0003-4175-5509 aut Lorscheider, Johannes (orcid)0000-0003-1100-2506 aut Naegelin, Yvonne (orcid)0000-0002-1315-4100 aut Enthalten in Journal of neurology [Darmstadt] : Steinkopff, 1891 270(2022), 1 vom: 30. Aug., Seite 262-271 (DE-627)242065155 (DE-600)1421299-7 1432-1459 nnns volume:270 year:2022 number:1 day:30 month:08 pages:262-271 https://dx.doi.org/10.1007/s00415-022-11306-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 270 2022 1 30 08 262-271 |
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English |
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Enthalten in Journal of neurology 270(2022), 1 vom: 30. Aug., Seite 262-271 volume:270 year:2022 number:1 day:30 month:08 pages:262-271 |
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Enthalten in Journal of neurology 270(2022), 1 vom: 30. Aug., Seite 262-271 volume:270 year:2022 number:1 day:30 month:08 pages:262-271 |
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Multiple sclerosis Digital biomarkers Smartphone Smartwatch Mobile health |
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Woelfle, Tim @@aut@@ Pless, Silvan @@aut@@ Reyes, Oscar @@aut@@ Wiencierz, Andrea @@aut@@ Feinstein, Anthony @@aut@@ Calabrese, Pasquale @@aut@@ Gugleta, Konstantin @@aut@@ Kappos, Ludwig @@aut@@ Lorscheider, Johannes @@aut@@ Naegelin, Yvonne @@aut@@ |
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2022-08-30T00:00:00Z |
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Objective To assess reliability of extracted features and meaningfulness of 11 tests applied through a smartphone application (“dreaMS”). Methods PwMS (age 18–70 and EDSS ≤ 6.5) and matched healthy volunteers (HV) were asked to perform tests installed on their smartphone once or twice weekly for 5 weeks. Primary outcomes were test–retest reliability of test features (target: intraclass correlation [ICC] ≥ 0.6 or median coefficient of variation [mCV] < 0.2) and reported meaningfulness of the tests by PwMS. Meaningfulness was self-assessed for each test on a 5-point Likert scale (target: mean score of > 3) and by a structured interview. ClinicalTrials.gov Identifier: NCT04413032. Results We included 31 PwMS (21 [68%] female, mean age 43.4 ± 12.0 years, median EDSS 3.0 [range 1.0–6.0]) and 31 age- and sex-matched healthy volunteers. Out of 133 features extracted from 11 tests, 89 met the preset reliability criteria. All 11 tests were perceived as highly meaningful to PwMS. 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Woelfle, Tim |
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Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study Multiple sclerosis (dpeaa)DE-He213 Digital biomarkers (dpeaa)DE-He213 Smartphone (dpeaa)DE-He213 Smartwatch (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 |
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10.1007/s00415-022-11306-5 |
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| title_sort |
reliability and acceptance of dreams, a software application for people with multiple sclerosis: a feasibility study |
| title_auth |
Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study |
| abstract |
Background There is an unmet need for reliable and sensitive measures for better monitoring people with multiple sclerosis (PwMS) to detect disease progression early and adapt therapeutic measures accordingly. Objective To assess reliability of extracted features and meaningfulness of 11 tests applied through a smartphone application (“dreaMS”). Methods PwMS (age 18–70 and EDSS ≤ 6.5) and matched healthy volunteers (HV) were asked to perform tests installed on their smartphone once or twice weekly for 5 weeks. Primary outcomes were test–retest reliability of test features (target: intraclass correlation [ICC] ≥ 0.6 or median coefficient of variation [mCV] < 0.2) and reported meaningfulness of the tests by PwMS. Meaningfulness was self-assessed for each test on a 5-point Likert scale (target: mean score of > 3) and by a structured interview. ClinicalTrials.gov Identifier: NCT04413032. Results We included 31 PwMS (21 [68%] female, mean age 43.4 ± 12.0 years, median EDSS 3.0 [range 1.0–6.0]) and 31 age- and sex-matched healthy volunteers. Out of 133 features extracted from 11 tests, 89 met the preset reliability criteria. All 11 tests were perceived as highly meaningful to PwMS. Conclusion The dreaMS app reliably assessed features reflecting key functional domains meaningful to PwMS. More studies with longer follow-up are needed to prove validity of these measures as digital biomarkers in PwMS. © The Author(s) 2022 |
| abstractGer |
Background There is an unmet need for reliable and sensitive measures for better monitoring people with multiple sclerosis (PwMS) to detect disease progression early and adapt therapeutic measures accordingly. Objective To assess reliability of extracted features and meaningfulness of 11 tests applied through a smartphone application (“dreaMS”). Methods PwMS (age 18–70 and EDSS ≤ 6.5) and matched healthy volunteers (HV) were asked to perform tests installed on their smartphone once or twice weekly for 5 weeks. Primary outcomes were test–retest reliability of test features (target: intraclass correlation [ICC] ≥ 0.6 or median coefficient of variation [mCV] < 0.2) and reported meaningfulness of the tests by PwMS. Meaningfulness was self-assessed for each test on a 5-point Likert scale (target: mean score of > 3) and by a structured interview. ClinicalTrials.gov Identifier: NCT04413032. Results We included 31 PwMS (21 [68%] female, mean age 43.4 ± 12.0 years, median EDSS 3.0 [range 1.0–6.0]) and 31 age- and sex-matched healthy volunteers. Out of 133 features extracted from 11 tests, 89 met the preset reliability criteria. All 11 tests were perceived as highly meaningful to PwMS. Conclusion The dreaMS app reliably assessed features reflecting key functional domains meaningful to PwMS. More studies with longer follow-up are needed to prove validity of these measures as digital biomarkers in PwMS. © The Author(s) 2022 |
| abstract_unstemmed |
Background There is an unmet need for reliable and sensitive measures for better monitoring people with multiple sclerosis (PwMS) to detect disease progression early and adapt therapeutic measures accordingly. Objective To assess reliability of extracted features and meaningfulness of 11 tests applied through a smartphone application (“dreaMS”). Methods PwMS (age 18–70 and EDSS ≤ 6.5) and matched healthy volunteers (HV) were asked to perform tests installed on their smartphone once or twice weekly for 5 weeks. Primary outcomes were test–retest reliability of test features (target: intraclass correlation [ICC] ≥ 0.6 or median coefficient of variation [mCV] < 0.2) and reported meaningfulness of the tests by PwMS. Meaningfulness was self-assessed for each test on a 5-point Likert scale (target: mean score of > 3) and by a structured interview. ClinicalTrials.gov Identifier: NCT04413032. Results We included 31 PwMS (21 [68%] female, mean age 43.4 ± 12.0 years, median EDSS 3.0 [range 1.0–6.0]) and 31 age- and sex-matched healthy volunteers. Out of 133 features extracted from 11 tests, 89 met the preset reliability criteria. All 11 tests were perceived as highly meaningful to PwMS. Conclusion The dreaMS app reliably assessed features reflecting key functional domains meaningful to PwMS. More studies with longer follow-up are needed to prove validity of these measures as digital biomarkers in PwMS. © The Author(s) 2022 |
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Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study |
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Pless, Silvan Reyes, Oscar Wiencierz, Andrea Feinstein, Anthony Calabrese, Pasquale Gugleta, Konstantin Kappos, Ludwig Lorscheider, Johannes Naegelin, Yvonne |
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Pless, Silvan Reyes, Oscar Wiencierz, Andrea Feinstein, Anthony Calabrese, Pasquale Gugleta, Konstantin Kappos, Ludwig Lorscheider, Johannes Naegelin, Yvonne |
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| score |
7.399908 |