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Maximum Time Between Tests : A Digital Biomarker to Detect Therapy Compliance and Assess Schedule Quality in Measurement-Based eHealth Systems for Alcohol Use Disorder

Zetterström, Andreas (author)
Kontigo Care AB, Pavel Snickares Grand 12, S-75320 Uppsala, Sweden
Hämäläinen, Markku D. (author)
Kontigo Care AB, Pavel Snickares Grand 12, S-75320 Uppsala, Sweden
Karlberg, Elin (author)
Uppsala Univ Hosp, Innovat Akad, S-75185 Uppsala, Sweden
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Winkvist, Maria (author)
Kontigo Care AB, Pavel Snickares Grand 12, S-75320 Uppsala, Sweden
Söderquist, Marcus (author)
Kontigo Care AB, Pavel Snickares Grand 12, S-75320 Uppsala, Sweden
Öhagen, Patrik (author)
Uppsala universitet,Uppsala kliniska forskningscentrum (UCR)
Andersson, Karl, 1972- (author)
Uppsala universitet,Medicinsk strålningsvetenskap,Ridgeview Instruments AB, Skillsta 4, S-74020 Vange, Sweden
Nyberg, Fred, 1945- (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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 (creator_code:org_t)
2018-12-12
2019
English.
In: Alcohol and Alcoholism. - : OXFORD UNIV PRESS. - 0735-0414 .- 1464-3502. ; 54:1, s. 70-72
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Aim: To evaluate, in a breathalyzer-based eHealth system, whether the time-based digital biomarker maximum time between tests' (MTBT) brings valuable information on alcohol consumption patterns as confirmed by correlation with blood phosphatidyl ethanol (PEth), serum carbohydrate deficient transferrin (CDT) and timeline follow-back data.Method: Data on 54 patients in follow-up for treatment of alcohol use disorder were analysed.Results: The model of weekly averages of 24-log transformed MTBT adequately described timeline follow-back data (P < 0.0001, R = 0.27-0.38, n = 650). Significant correlations were noted between MTBT and PEth (P < 0.0001, R = 0.41, n = 148) and between MTBT and CDT (P < 0.0079, R = 0.22, n = 120).Conclusions: The time-based digital biomarker maximum time between tests' described here has the potential to become a generally useful metric for all scheduled measurement-based eHealth systems to monitor test behaviour and compliance, factors important for dosing' of eHealth systems and for early prediction and interventions of lapse/relapse.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Beroendelära (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Substance Abuse (hsv//eng)

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