The feasibility of using cellular phones to collect ecological momentary assessment data: Application to alcohol consumption.

Collins, R. Lorraine; Kashdan, Todd B.; Gollnisch, Gernot

doi:10.1037/1064-1297.11.1.73

Cited by 185Mental Health Research TopicsSubstance Abuse Treatment and OutcomesDigital Mental Health Interventions

The feasibility of using cellular phones to collect ecological momentary assessment data: Application to alcohol consumption.

Collins, R. Lorraine, Kashdan, Todd B., Gollnisch, Gernot·2003·Experimental and Clinical Psychopharmacology

DOI 10.1037/1064-1297.11.1.73

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Abstract

The limitations of paper-and-pencil self-monitoring (PM) are leading to the use of more sophisticated techniques. PM was compared with cellular phone monitoring (CM) to collect ecological momentary assessment data on alcohol use. Twenty social drinkers were randomly assigned to the 2 groups, and their drinking was monitored for 14 days. PM participants recorded data on cards. CM participants carried telephones and responded to an interactive voice response system. The authors found few significant group differences in alcohol use, compliance with the self-monitoring, and satisfaction. However, CM had useful advantages, including instantaneous entry of data into a central database, date and time stamping of data, and easy integration into daily life. Although preliminary, this study suggests that CM is a promising alternative to PM.

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The sample size for usability testing was based on previously published development and feasibility studies testing mobile phone technology to promote behavior change.
“The sample size was based on previously published development and feasibility studies testing mobile phone technology to promote behavior change [39,40].”
From Development and Implementation of a Mobile Phone–Based Prevention of Mother-To-Child Transmission of HIV Cascade Analysis Tool: Usability and Feasibility Testing in Kenya and Mozambique (2019) · cites this paper as [39]

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Smith, A. D. M., de Salas, K., Lewis, I. J., & Schüz, B. (2017) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2017.07.007 · Cited by 32 · see citing works
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That Which Is Measured Improves”: An Integrative Review Of The Role Of Self-monitoring In Symptom Self-management And Behavior Change.
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Toward a just-in-time adaptive intervention to reduce emerging adult alcohol use: Testing approaches for identifying when to intervene
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“…and wearables, the use of ecological momentary assessments and daily process measures are increasingly common in substance use research (Cohn et al., 2011; Collins et al., 2003; Fridberg et al., 2019; Heron et al., 2017; Serre et al., 2015; Shiffman, 2009; Stone et al., 2007; Wray et al., 2014).”
Method
Feasibility and acceptability of text messaging to assess daily substance use and sexual behaviors among urban emerging adults
Bonar, E. E., Cunningham, R. M., Collins, R. L., Cranford, J. A., Chermack, S. T., Zimmerman, M. A., Blow, F. C., & Walton, M. A. (2017) · Addiction Research & Theory · doi:10.1080/16066359.2017.1310205 · Cited by 22 · see citing works
“Few researchers using IVR for substance use data have enrolled youth or emerging adults, with the exception of Collins and colleagues (Collins et al. 2003) who sampled 10 emerging adults.”
BackgroundResultInfluentialSelf-citation
A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity
Poulton, A., Pan, J., Bruns, L., Sinnott, R., & Hester, R. (2018) · JMIR mhealth and uhealth · doi:10.2196/11157 · Cited by 22 · see citing works
“Early studies typically featured hand-held electronic devices [6,7] or interactive voice response systems [8,9].”
Feasibility of Using Interactive Voice Response to Monitor Daily Drinking, Moods, and Relationship Processes on a Daily Basis in Alcoholic Couples
Cranford, J. A., Tennen, H. A., & Zucker, R. A. (2009) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2009.01115.x · Cited by 21 · see citing works
“Kranzler and colleagues (2004) also found evidence for the effectiveness of automated reminder calls in an IVR study of heavy drinkers, and Corkrey and Parkinson (2002) reviewed several studies showing that automated IVR calls increased appointment rates and treatment compliance (also see Abu-Hasaballah et al.”
Background
A Cognitive Behavioral Therapy-Based Text Messaging Intervention for Methamphetamine Dependence
Keoleian, V., Stalcup, S. A., Polcin, D. L., Brown, M. J., & Galloway, G. P. (2013) · Journal of Psychoactive Drugs · doi:10.1080/02791072.2013.847995 · Cited by 21 · see citing works
The feasibility of using smartphones and mobile breathalyzers to monitor alcohol consumption among people living with HIV/AIDS
Lauckner, C., Taylor, E. W., Patel, D., & Whitmire, A. (2019) · Addiction Science & Clinical Practice · doi:10.1186/s13722-019-0174-0 · Cited by 21 · see citing works
The feasibility of assessing alcohol use among college students using wireless mobile devices: Implications for health education and behavioural research
Mays, D. M., Cremeens, J. L., Usdan, S., Martin, R. J., Arriola, K. J., & Bernhardt, J. M. (2010) · Health Education Journal · doi:10.1177/0017896910364831 · Cited by 20 · see citing works
KNOWME
Thatte, G., Li, M., Lee, S., Emken, A., Narayanan, S. S., Mitra, U., Spruijt‐Metz, D., & Annavaram, M. (2012) · ACM Transactions on Embedded Computing Systems · doi:10.1145/2331147.2331158 · Cited by 20 · see citing works
“Recent studies have demonstrated the efficacy of mobile phones for monitoring alcohol abuse [Collins et al. 2003] and controlling tobacco [Rodgers et al.”
Background
The social-psychological process of fearing crime: Developing and testing a new momentary model of victimisation worry
Chataway, M., Hart, T. C., & Bond, C. E. W. (2019) · Australian & New Zealand Journal of Criminology · doi:10.1177/0004865819836153 · Cited by 19 · see citing works
Development and Implementation of a Mobile Phone–Based Prevention of Mother-To-Child Transmission of HIV Cascade Analysis Tool: Usability and Feasibility Testing in Kenya and Mozambique
Kawakyu, N., Nduati, R., Munguambe, K., Coutinho, J., Mburu, N., DeCastro, G., Inguane, C., Zunt, A., Abburi, N., Sherr, K., et al. (2019) · JMIR mHealth and uHealth · doi:10.2196/13963 · Cited by 19 · see citing works
“The sample size was based on previously published development and feasibility studies testing mobile phone technology to promote behavior change [39,40].”
Space and Place in Alcohol Research
Mair, C., Frankeberger, J., Gruenewald, P. J., Morrison, C. N., & Freisthler, B. (2019) · Current Epidemiology Reports · doi:10.1007/s40471-019-00215-3 · Cited by 20 · see citing works
Feasibility of Ecological Momentary Assessment Using Cellular Telephones in Methamphetamine Dependent Subjects
Galloway, G. P., Didier, R. A., Garrison, K. J., & Mendelson, J. E. (2008) · Substance Abuse Research and Treatment · doi:10.4137/sart.s428 · Cited by 18 · see citing works
“While both methods produced similar adherence rates, confi dence in IVR data was higher due to the ability to verify data entry date and time [5].”
Alcohol Use and Alcohol Use Disorders
Sher, K. J., Talley, A. E., Littlefield, A. K., & Martinez, J. A. (2012) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780195342819.013.0028 · Cited by 21 · see citing works
Feasibility and Utility of Momentary Sampling of Sex Events in Young Couples
Sunner, L. E., Walls, C. E., Blood, E., et al. (2012) · The Journal of Sex Research · doi:10.1080/00224499.2012.674574 · Cited by 16 · see citing works
Utility of ecological momentary assessments to collect data on fear of crime
Irvin-Erickson, Y., Malik, A. A., Kamiran, F., et al. (2020) · International Journal of Comparative and Applied Criminal Justice · doi:10.1080/01924036.2020.1719532 · Cited by 16 · see citing works
Mobile Phones in Data Collection
Şahin, F., & Yan, Z. (2013) · International Journal of Cyber Behavior Psychology and Learning · doi:10.4018/ijcbpl.2013070106 · Cited by 16 · see citing works
Visual Data Mining With Self-organizing Maps for “Self-monitoring” Data Analysis
Oliver, E., Vallés-Ṕerez, I., Baños, R., et al. (2016) · Sociological Methods & Research · doi:10.1177/0049124116661576 · Cited by 14 · see citing works
“A consistent relationship has been found between self-register adherence and success in both losing weight and maintaining weight loss (Baker and Kirschenbaum 1998; Collins, Kashdan, and Gollnish 2003).”
Background
Use of Real‐Time Interactive Voice Response in a Study of Stress and Alcohol Consumption
Andersson, C. R., Gordh, A. S., & Berglund, M. (2007) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2007.00520.x · Cited by 14 · see citing works
Usability and Feasibility of PmEB: A Mobile Phone Application for Monitoring Real Time Caloric Balance
Tsai, C. C., Lee, G., Raab, F., Norman, G. J., Sohn, T. Y., Griswold, W. G., & Patrick, K. (2006) · doi:10.1109/pcthealth.2006.361659 · Cited by 13 · see citing works
“who compared the benefits of mobile phone monitoring versus paper-and-pencil monitoring of alcohol consumption [13].”
Background
Testing the Feasibility of Using Ecological Momentary Assessment to Collect Real-Time Behavior and Mood to Predict Technology-Measured HIV Medication Adherence
Shacham, E., Lew, D., Xiao, T., López, J. D., Trull, T. J., Schootman, M., & Presti, R. M. (2019) · AIDS and Behavior · doi:10.1007/s10461-018-2378-9 · Cited by 13 · see citing works
How Chronic Self-Regulatory Stress, Poor Anger Regulation, and Momentary Affect Undermine Treatment for Alcohol Use Disorder: Integrating Social Action Theory with the Dynamic Model of Relapse
Maisto, S. A., Xie, F. C., Witkiewitz, K. A., Ewart, C. K., Connors, G. J., Hongtu Zhu, B., Elder, G. J., Ditmar, M., & Chow, S. (2017) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.2017.36.3.238 · Cited by 13 · see citing works
Mobile diaries – Benchmark against metered measurements: An empirical investigation
Lovett, M. J., & Peres, R. (2018) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2018.01.002 · Cited by 13 · see citing works
Faceit: supporting reflection upon social anxiety events with lifelogging
Rennert, K., & Karapanos, E. (2013) · CHI Extended Abstracts · doi:10.1145/2468356.2468437 · Cited by 19 · see citing works
“Many patients fail to return accurate and useful monitoring data to their therapists [5, 6] as they have a hard time committing to logging occurrences on a daily or regular basis [2].”
Background
Modeling reciprocal relations between emotion dysregulation and alcohol use using dynamic structural equation modeling: A micro‐longitudinal study
Weiss, N. H., Brick, L. A. D., Forkus, S. R., Goldstein, S. C., Thomas, E. D., Schick, M. R., Barnett, N. P., Contractor, A. A., & Sullivan, T. P. (2022) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14881 · Cited by 12 · see citing works
TelEMA: a low-cost and user-friendly telephone assessment platform
Fernandez, K. C., Johnson, M. R., & Rodebaugh, T. L. (2012) · Behavior Research Methods · doi:10.3758/s13428-012-0287-9 · Cited by 12 · see citing works
“An IVR system uses a central computer that is programmed to send and receive telephone calls and administer verbal interviews or collect other forms of information (Collins et al., 2003).”
Background
S2NI: A mobile platform for nutrition monitoring from spoken data
Hezarjaribi, N., Reynolds, C. A., Miller, D. T., Chaytor, N. S., & Ghasemzadeh, H. G. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7591115 · Cited by 12 · see citing works
Application of mobile‐phone cameras to home health care and welfare in the elderly: Experience in a rural practice
Kotani, K., Morii, M., Asai, Y., et al. (2005) · Australian Journal of Rural Health · doi:10.1111/j.1440-1854.2005.00682.x · Cited by 11 · see citing works
Acceptability of ecological momentary assessment among young men who have sex with men
Duncan, D. T., Kapadia, F., Kirchner, T., et al. (2017) · Journal of LGBT Youth · doi:10.1080/19361653.2017.1365038 · Cited by 8 · see citing works
History of Substance Abuse Research in the United States
VanGeest, J. B., Johnson, T. P., & Alemagno, S. A. (2017) · Springer eBooks · doi:10.1007/978-3-319-55980-3_1 · Cited by 7 · see citing works
Perfect for a Gin and Tonic: How Context Drives Consumption Within a Modified Bogus Taste Test
Monk, R. L., Qureshi, A., McNeill, A. M., Erskine-Shaw, M., & Heim, D. (2017) · Alcohol and Alcoholism · doi:10.1093/alcalc/agx084 · Cited by 7 · see citing works
Micro-Longitudinal Examination of Emotion Dysregulation and Posttraumatic Stress Disorder Symptoms among Community Women Experiencing Intimate Partner Violence: Modeling Reciprocal Relationships Using Dynamic Structural Equation Modeling
Weiss, N. H., Raudales, A. M., Contractor, A. A., Forkus, S. R., Kiefer, R., Brick, L. A. D., & Sullivan, T. P. (2023) · Journal of Emotion and Psychopathology · doi:10.55913/joep.v1i1.23 · Cited by 6 · see citing works
“First, though acceptable, survey compliance was slightly lower than other studies using ESM (Collins et al., 2003; Searles et al., 2002; Searles et al., 1995).”

Authors: Collins, R. L., Kashdan, T. B., & Gollnisch, G.
Affiliations: University at Buffalo, State University of New York (US)
ORCID: Kashdan, Todd B.
Venue: Experimental and Clinical Psychopharmacology
Publisher: American Psychological Association (APA)
Published: 2003-02
Volume: 11
Issue: 1
Pages: 73-78
ISSN: 1064-1297 (ISSN-L)
1936-2293
DOI: 10.1037/1064-1297.11.1.73
OpenAlex: W2124478199
Cited by: 185
References: 0
Citations by year: 2026: 3 · 2025: 4 · 2024: 1 · 2023: 5 · 2022: 5 · 2021: 5 · 2020: 3 · 2019: 13 · 2018: 5 · 2017: 15 · 2016: 12 · 2015: 5 · 2014: 8 · 2013: 14 · 2012: 19
FWCI: 10.52
Type: journal article
Language: en
Open access: closed
Locations: Experimental and Clinical Psychopharmacology (publishedVersion)
PubMed (publishedVersion)
Funders: U.S. Public Health Service (R01-07595)
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords: ecological momentary assessment, alcohol consumption, self-monitoring, interactive voice response, compliance, participant satisfaction, social drinkers, data collection feasibility
MeSH terms: Adult, Alcohol Drinking, Consumer Behavior, Data Collection, Feasibility Studies, Female, Humans, Male, Marijuana Smoking, Surveys and Questionnaires, Smoking, Social Environment, Cell Phone

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The feasibility of using cellular phones to collect ecological momentary assessment data: Application to alcohol consumption.

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