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. 2022 Feb 17;10(2):e27337. doi: 10.2196/27337

Table 3.

Key characteristics of studies examining the measurement of alcohol via a smartphone.

Study Country App name Publicly available Measurement approach Measurement properties assessed





Reliability Measurement error Content validity Construct validity Criterion validity Responsiveness Risk of bias
Arnold et al [3] United States AlcoGait NRa Passive objective b Very good
Bae et al [67] United States AWARE Yes Passive objective Very good
Barrio et al [74] Spain SIDEAL No Self-report Doubtful
Bernhardt et al [90] United States HAND NR Self-report Very good
Dulin et al [72] United States LBMI-Ac NR Self-report Adequate
Kim et al [76] United States SPAQd NR Active objective Inadequate
Kizakevich et al [73] United States PHITe for duty No Self-report Very good
Luczak et al [66] United States Intellidrink Yes Self-report Very good
Matsumuraet al [77] Japan Spiral NR Active objective Very good
McAfee et al [78] United States AlcoGait and AlcoWear Smartwatch app N/Af Passive objective Doubtful
Monk et al [71] United Kingdom NR NR Self-report Very good
Paolillo et al [70] United States NR N/A Self-report Very good
Poulton et al [89] Australia CNLab-A Yes Self-report Adequate
Santani et al [79] Switzerland Sensor logger and Drink logger No Passive objective Doubtful
Swendeman et al [68] United States Ohmage Yes Self-report Doubtful
Wray et al [69] United States Metricwire No Self-report Adequate

aNR: not reported.

bNo reporting of measurement property assessed.

cLBMIA: Location-Based Monitoring and Intervention for Alcohol Use Disorders.

dSPAQ: Smartphone Addiction Questionnaire.

ePHIT: Personal Health Intervention Toolkit.

fN/A: not applicable.