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      Acceptability, Validity, and Engagement With a Mobile App for Frequent, Continuous Multiyear Assessment of Youth Health Behaviors (mNCANDA): Mixed Methods Study

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          Abstract

          Background

          Longitudinal studies of many health behaviors often rely on infrequent self-report assessments. The measurement of psychoactive substance use among youth is expected to improve with more frequent mobile assessments, which can reduce recall bias. Researchers have used mobile devices for longitudinal research, but studies that last years and assess youth continuously at a fine-grained, temporal level (eg, weekly) are rare. A tailored mobile app (mNCANDA [mobile National Consortium on Alcohol and Neurodevelopment in Adolescence]) and a brief assessment protocol were designed specifically to provide a feasible platform to elicit responses to health behavior assessments in longitudinal studies, including NCANDA (National Consortium on Alcohol and Neurodevelopment in Adolescence).

          Objective

          This study aimed to determine whether an acceptable mobile app system could provide repeatable and valid assessment of youth’s health behaviors in different developmental stages over extended follow-up.

          Methods

          Participants were recruited (n=534; aged 17-28 years) from a larger longitudinal study of neurodevelopment. Participants used mNCANDA to register reports of their behaviors for up to 18 months. Response rates as a function of time measured using mNCANDA and participant age were modeled using generalized estimating equations to evaluate response rate stability and age effects. Substance use reports captured using mNCANDA were compared with responses from standardized interviews to assess concurrent validity. Reactivity was assessed by evaluating patterns of change in substance use after participants initiated weekly reports via mNCANDA. Quantitative feedback about the app was obtained from the participants. Qualitative interviews were conducted with a subset of participants who used the app for at least one month to obtain feedback on user experience, user-derived explanations of some quantitative results, and suggestions for system improvements.

          Results

          The mNCANDA protocol adherence was high (mean response rate 82%, SD 27%) and stable over time across all age groups. The median time to complete each assessment was 51 s (mean response time 1.14, SD 1.03 min). Comparisons between mNCANDA and interview self-reports on recent (previous 30 days) alcohol and cannabis use days demonstrate close agreement (eg, within 1 day of reported use) for most observations. Models used to identify reactivity failed to detect changes in substance use patterns subsequent to enrolling in mNCANDA app assessments ( P>.39). Most participants (64/76, 84%) across the age range reported finding the mNCANDA system acceptable. Participants provided recommendations for improving the system (eg, tailoring signaling times).

          Conclusions

          mNCANDA provides a feasible, multi-year, continuous, fine-grained (eg, weekly) assessment of health behaviors designed to minimize respondent burden and provides acceptable regimes for long-term self-reporting of health behaviors. Fine-grained characterization of variability in behaviors over relatively long periods (eg, up to 18 months) may, through the use of mNCANDA, improve our understanding of the relationship between substance use exposure and neurocognitive development.

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          Most cited references55

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          International physical activity questionnaire: 12-country reliability and validity.

          Physical inactivity is a global concern, but diverse physical activity measures in use prevent international comparisons. The International Physical Activity Questionnaire (IPAQ) was developed as an instrument for cross-national monitoring of physical activity and inactivity. Between 1997 and 1998, an International Consensus Group developed four long and four short forms of the IPAQ instruments (administered by telephone interview or self-administration, with two alternate reference periods, either the "last 7 d" or a "usual week" of recalled physical activity). During 2000, 14 centers from 12 countries collected reliability and/or validity data on at least two of the eight IPAQ instruments. Test-retest repeatability was assessed within the same week. Concurrent (inter-method) validity was assessed at the same administration, and criterion IPAQ validity was assessed against the CSA (now MTI) accelerometer. Spearman's correlation coefficients are reported, based on the total reported physical activity. Overall, the IPAQ questionnaires produced repeatable data (Spearman's rho clustered around 0.8), with comparable data from short and long forms. Criterion validity had a median rho of about 0.30, which was comparable to most other self-report validation studies. The "usual week" and "last 7 d" reference periods performed similarly, and the reliability of telephone administration was similar to the self-administered mode. The IPAQ instruments have acceptable measurement properties, at least as good as other established self-reports. Considering the diverse samples in this study, IPAQ has reasonable measurement properties for monitoring population levels of physical activity among 18- to 65-yr-old adults in diverse settings. The short IPAQ form "last 7 d recall" is recommended for national monitoring and the long form for research requiring more detailed assessment.
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            Statistical methods for assessing agreement between two methods of clinical measurement.

            In clinical measurement comparison of a new measurement technique with an established one is often needed to see whether they agree sufficiently for the new to replace the old. Such investigations are often analysed inappropriately, notably by using correlation coefficients. The use of correlation is misleading. An alternative approach, based on graphical techniques and simple calculations, is described, together with the relation between this analysis and the assessment of repeatability.
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              Toward a Conceptual Framework for Mixed-Method Evaluation Designs

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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                February 2021
                10 February 2021
                : 9
                : 2
                : e24472
                Affiliations
                [1 ] Department of Psychology University of California San Diego La Jolla, CA United States
                [2 ] Department of Psychiatry School of Medicine University of California San Diego La Jolla, CA United States
                [3 ] Department of Family Medicine and Public Health University of California San Diego La Jolla, CA United States
                [4 ] Department of Psychology Northern Kentucky University Highland Heights, KY, CA United States
                [5 ] Department of Psychiatry Institute for Health, Healthcare Policy and Aging Research New Brunswick, NJ United States
                [6 ] Department of Music University of California San Diego La Jolla, CA, CA United States
                [7 ] Department of Data Science and Operations University of Southern California Los Angeles, CA United States
                [8 ] Department of Psychology California State University Los Angeles Los Angeles, CA United States
                [9 ] Department of Psychology University of North Carolina Wilmington Wilmington, NC, CA United States
                Author notes
                Corresponding Author: Kevin M Cummins kcummins@ 123456ucsd.edu
                Author information
                https://orcid.org/0000-0003-1982-7836
                https://orcid.org/0000-0002-1712-2878
                https://orcid.org/0000-0002-1527-2792
                https://orcid.org/0000-0002-7499-041X
                https://orcid.org/0000-0003-3390-9598
                https://orcid.org/0000-0002-3216-9690
                https://orcid.org/0000-0003-2204-7929
                https://orcid.org/0000-0002-6628-7062
                https://orcid.org/0000-0003-3756-649X
                https://orcid.org/0000-0001-8780-0323
                https://orcid.org/0000-0001-7259-6112
                Article
                v9i2e24472
                10.2196/24472
                7904399
                33565988
                85b35b05-5eaa-4c45-a8e8-20570715ab65
                ©Kevin M Cummins, Ty Brumback, Tammy Chung, Raeanne C Moore, Trevor Henthorn, Sonja Eberson, Alyssa Lopez, Tatev Sarkissyan, Kate B Nooner, Sandra A Brown, Susan F Tapert. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 10.02.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

                History
                : 21 September 2020
                : 5 December 2020
                : 10 December 2020
                : 24 December 2020
                Categories
                Original Paper
                Original Paper

                mobile applications,young adults,smartphone,health behavior,underage drinking,alcohol drinking,self-report,illicit drugs,mobile phone

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