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A New Frontier: Integrating Behavioral and Digital Technology to Promote Health Behavior

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Abstract

Modifiable behavioral risk factors such as cigarette smoking, physical inactivity, and obesity contribute to over 40 % of premature deaths in the USA. Advances in digital and information technology are creating unprecedented opportunities for behavior analysts to assess and modify these risk factors. Technological advances include mobile devices, wearable sensors, biomarker detectors, and real-time access to therapeutic support via information technology. Integrating these advances with behavioral technology in the form of conceptually systematic principles and procedures could usher in a new generation of effective and scalable behavioral interventions targeting health behavior. In this selective review of the literature, we discuss how technological tools can assess and modify a range of antecedents and consequences of healthy and unhealthy behavior. We also describe practical, methodological, and conceptual advantages for behavior analysts that stem from the use of technology to assess and treat health behavior.

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Notes

  1. Distinguishing between the discriminative, motivative, and other functions of verbal stimuli is beyond the scope of this paper; for a discussion of alternative functions of verbal stimuli, see Schlinger (1993).

References

  • Acosta, F. J., Bosch, E., Sarmiento, G., Juanes, N., Caballero-Hidalgo, A., & Mayans, T. (2009). Evaluation of noncompliance in schizophrenia patients using electronic monitoring (MEMS®) and its relationship to sociodemographic, clinical and psychopatholoigcal variables. Schizophrenia Research, 107, 213–217.

    PubMed  Google Scholar 

  • Alcohol Monitoring Systems (2013). Retrieved from http://www.alcoholmonitoring.com/index/scram/scram-remote-breath

  • Alessi, S. M., & Petry, N. M. (2013). A randomized study of cellphone technology to reinforce alcohol abstinence in the natural environment. Addiction, 108(5), 900–909.

    PubMed Central  PubMed  Google Scholar 

  • Ali, A. A., Hossain, S. M., Hovsepian, K., Rahman, M. M., Plarre, K., & Kumar, S. (2012). mPuff: automated detection of cigarette smoking puffs from respiration measurements. Paper presented at the Proceedings of the 11th International Conference on Information Processing in Sensor Networks, 269–280.

  • Anderson, C. M., Hawkins, R. P., Freeman, K. A., & Scotti, J. R. (2000). Private events: do they belong in a science of human behavior? The Behavior Analyst, 23(1), 1.

    PubMed Central  PubMed  Google Scholar 

  • Anestis, M. D., Silva, C., Lavender, J. M., Crosby, R. D., Wonderlich, S. A., Engel, S. G., & Joiner, T. E. (2012). Predicting nonsuicidal self-injury episodes over a discrete period of time in a sample of women diagnosed with bulimia nervosa: an analysis of self-reported trait and ecological momentary assessment based affective lability and previous suicide attempts. The International Journal of Eating Disorders, 45(6), 808–811.

    PubMed Central  PubMed  Google Scholar 

  • Armey, M. F., Crowther, J. H., & Miller, I. W. (2011). Changes in ecological momentary assessment reported affect associated with episodes of nonsuicidal self-injury. Behavior Therapy, 42(4), 579–588.

    PubMed  Google Scholar 

  • Asch, D. A., Muller, R. W., & Volpp, K. G. (2012). Automated hovering in health care—watching over the 5,000 hours. The New England Journal of Medicine, 367(1), 1–3.

    PubMed  Google Scholar 

  • Axelrod, S. (1991). Smoking cessation through functional analysis. Journal of Applied Behavior Analysis, 24, 717–718.

    PubMed Central  PubMed  Google Scholar 

  • Barclay, E. (2009). Text messages could hasten tuberculosis drug compliance. The Lancet, 373(9657), 15–16.

    Google Scholar 

  • Barnett, N. P., Tidey, J., Murphy, J. G., Swift, R., & Colby, S. M. (2011). Contingency management for alcohol use reduction: a pilot study using a transdermal alcohol sensor. Drug and Alcohol Dependence, 118(2), 391–399.

    PubMed Central  PubMed  Google Scholar 

  • Bastawrous, A., & Armstrong, M. J. (2013). Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature. Journal of the Royal Society of Medicine, 106(4), 130–142.

    PubMed  Google Scholar 

  • Beavers, G. A., Iwata, B. A., & Lerman, D. C. (2013). Thirty years of research on the functional analysis of problem behavior. Journal of Applied Behavior Analysis, 46, 1–21.

    PubMed  Google Scholar 

  • Bickel, W. K., DeGrandpre, R. J., & Higgins, S. T. (1993). Behavioral economics: a novel experimental approach to the study of drug dependence. Drug and Alcohol Dependence, 33(2), 173–192.

    PubMed  Google Scholar 

  • Bickel, W. K., Marsch, L. A., Buchhalter, A. R., & Badger, G. J. (2008). Computerized behavior therapy for opioid-dependent outpatients: a randomized controlled trial. Experimental and Clinical Psychopharmacology, 16(2), 132–143.

    PubMed Central  PubMed  Google Scholar 

  • Bigelow, G. E., Brooner, R. K., & Silverman, K. (1998). Competing motivations: drug reinforcement vs non-drug reinforcement. Journal of Psychopharmacology (Oxford, England), 12(1), 8–14.

    Google Scholar 

  • Bosworth, H. B. (2012). How can innovative uses of technology be harnessed to improve medication adherence? Expert Review of Pharmacoeconomics & Outcomes Research, 12(2), 133–135.

    Google Scholar 

  • Bough, K. J., Lerman, C., Rose, J. E., McClernon, F. J., Kenny, P. J., Tyndale, R. F., & Amur, S. (2013). Biomarkers for smoking cessation. Clinical Pharmacology and Therapeutics, 93(6), 526–538.

    PubMed Central  PubMed  Google Scholar 

  • Boyer, E. W., Fletcher, R., Fay, R. J., Smelson, D., Ziedonis, D., & Picard, R. W. (2012). Preliminary efforts directed toward the detection of craving of illicit substances: the iHeal project. Journal of Medical Toxicology : Official Journal of the American College of Medical Toxicology, 8(1), 5–9. doi:10.1007/s13181-011-0200-4.

    Google Scholar 

  • Brennan, J. (2013) Pew Internet: mobile. Retrieved from www.pewinternet.org.

  • Bricker, J., Wyszynski, C., Comstock, B., & Heffner, J. L. (2013). Pilot randomized controlled trial of web-based acceptance and commitment therapy for smoking cessation. Nicotine & Tobacco Research, 15(10), 1756–1764.

    Google Scholar 

  • Brown, I., Sheeran, P., & Reuber, M. (2009). Enhancing antiepileptic drug adherence: a randomized controlled trial. Epilepsy & Behavior, 16(4), 634–639.

    Google Scholar 

  • Buckner, J. D., Crosby, R. D., Silgado, J., Wonderlich, S. A., & Schmidt, N. B. (2012). Immediate antecedents of marijuana use: an analysis from ecological momentary assessment. Journal of Behavior Therapy and Experimental Psychiatry, 43(1), 647–655.

    PubMed Central  PubMed  Google Scholar 

  • Burkhart, P. V., Rayens, M. K., Oakley, M. G., Abshire, D. A., & Zhang, M. (2007). Testing an intervention to promote children’s adherence to asthma self-management. Journal of Nursing Scholarship: An Official Publication of Sigma Theta Tau International Honor Society of Nursing/Sigma Theta Tau, 39(2), 133–140.

    Google Scholar 

  • Burns, M. N., Begale, M., Duffecy, J., Gergle, D., Karr, C. J., Giangrande, E., & Mohr, D. C. (2011). Harnessing context sensing to develop a mobile intervention for depression. Journal of Medical Internet Research, 13(3), 158–174.

    Google Scholar 

  • Cain, A. E., Depp, C. A., & Jeste, D. V. (2009). Ecological momentary assessment in aging research: a critical review. Journal of Psychiatric Research, 43, 987–996.

    PubMed Central  PubMed  Google Scholar 

  • Carroll, K. M., & Rounsaville, B. J. (2007). A perfect platform: combining contingency management with medications for drug abuse. The American Journal of Drug and Alcohol Abuse, 33(3), 343–365.

    PubMed Central  PubMed  Google Scholar 

  • Carroll, K. M., Nich, C., Lapaglia, D. M., Peters, E. N., Easton, C. J., & Petry, N. M. (2012). Combining cognitive behavioral therapy and contingency management to enhance their effects in treating cannabis dependence: less can be more, more or less. Addiction (Abingdon, England), 107(9), 1650–1659.

    Google Scholar 

  • Charach, A., Gajaria, A., Skyba, A., & Chen, S. (2008). Documenting adherence to psychostimulants in children with ADHD. Journal of the Canadian Academy of Child and Adolescent Psychiatry/Journal De l’Académie Canadienne De Psychiatrie De l’Enfant Et De l’Adolescent, 17(3), 131–136.

    Google Scholar 

  • Collins, L. M., Murphy, S. A., Nair, V. N., & Strecher, V. J. (2005). A strategy for optimizing and evaluating behavioral interventions. Annals of Behavioral Medicine: A Publication of the Society of Behavioral Medicine, 30(1), 65–73.

    Google Scholar 

  • Collins, L. M., Murphy, S. A., & Strecher, V. (2007). The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions. American Journal of Preventive Medicine, 32(5), S112–S118.

    PubMed Central  PubMed  Google Scholar 

  • Critchfield, T. S., Tucker, J. A., & Vuchinich, R. E. (1998). Self-report methods. In K. A. Lattal & M. Perone (Eds.), Handbook of methods for the experimental analysis of human behavior (pp. 435–470). New York: Plenum.

    Google Scholar 

  • Crowely, T. J., MacDonald, M. J., Zerbe, G. O., & Petty, T. L. (1991). Reinforcing breath carbon monoxide reductions in chronic obstructive pulmonary disease. Drug and Alcohol Dependence, 29, 47–62.

    Google Scholar 

  • Crowley-Koch, B., & Van Houten, R. (2013). Automated measurement in applied behavior analysis: a review. Behavioral Interventions, 28(3), 225–240.

    Google Scholar 

  • Dallery, J., & Raiff, B. R. (2011). Contingency management in the 21st century: technological innovations to promote smoking cessation. Substance Use & Misuse, 46(1), 10–22.

    Google Scholar 

  • Dallery, J, & Raiff, B. R. (2014). Optimizing behavioral health interventions with single-case designs: from development to dissemination. Translational Behavioral Medicine. doi: 10.1007/s13142-014-0258-z

  • Dallery, J., Glenn, I. M., & Raiff, B. R. (2007). An internet-based abstinence reinforcement treatment for cigarette smoking. Drug and Alcohol Dependence, 86(2–3), 230–238.

    PubMed  Google Scholar 

  • Dallery, J., Meredith, S., & Glenn, I. M. (2008). A deposit contract method to deliver abstinence reinforcement for cigarette smoking. Journal of Applied Behavior Analysis, 41(4), 609–615.

    PubMed Central  PubMed  Google Scholar 

  • Dallery, J., Meredith, S. M., & Budney, A. (2012). Contingency management in the substance abuse treatment clinic. In S. T. Walters & F. Rotgers (Eds.), Treating substance abuse (3rd ed.). New York: Guilford.

    Google Scholar 

  • Dallery, J., Cassidy, R. N., & Raiff, B. R. (2013). Single-case experimental designs to evaluate novel technology-based health interventions. Journal of Medical Internet Research, 15(2). doi:10.2196/jmir.2227.

  • Dallery, J., Raiff, B. R., & Grabinski, M. (2013b). Internet-based contingency management to promote smoking cessation: a randomized, controlled study. Journal of Applied Behavior Analysis, 46, 750–764.

    PubMed  Google Scholar 

  • Dallery, J., Kurti, A., & Martner, S. (2014b). Technological methods to assess and treat cigarette smoking. In L. Marsch, S. Lord, & J. Dallery (Eds.), Behavioral health care and technology: using science-based innovations to transform practice. Oxford: Oxford University Press.

    Google Scholar 

  • Dallery, J., Riley, W. T., & Nahum-Shani, I. (2014c). Research designs to develop and evaluate technology-based health behavior interventions. In L. Marsch, S. Lord, & J. Dallery (Eds.), Behavioral health care and technology: using science-based innovations to transform practice. Oxford: Oxford University Press.

    Google Scholar 

  • Davies, C. A., Spence, J. C., Vandelanotte, C., Caperchione, C. M., & Mummery, W. K. (2012). Meta-analysis of internet-delivered interventions to increase physical activity levels. International Journal of Behavioral Nutrition and Physical Activity, 9, 52. doi:10.1186/1479-5868-9-52.

    PubMed Central  PubMed  Google Scholar 

  • DeFulio, A., Donlin, W. D., Wong, C. J., & Silverman, K. (2009). Employment-based abstinence reinforcement as a maintenance intervention for the treatment of cocaine dependence: a randomized controlled trial. Addiction, 104(9), 1530–1538.

    PubMed Central  PubMed  Google Scholar 

  • DeMaio, J., Schwartz, L., Cooley, P., & Tice, A. (2001). The application of telemedicine technology to a directly observed therapy program for tuberculosis: a pilot project. Clinical Infectious Diseases, 33(12), 2082–2084.

    PubMed  Google Scholar 

  • Denhaerynck, K., Schäfer-Keller, P., Young, J., Steiger, J., Bock, A., & De Geest, S. (2008). Examining assumptions regarding valid electronic monitoring of medication therapy: development of a validation framework and its application on a European sample of kidney transplant patients. BMC Medical Research Methodology, 8, doi:10.1186/1471-2288-8-5

  • Donlin Washington, W., Knealing, T. W., Needham, M., Wong, C. J., & Silverman, K. (2008). Attendance rates in a workplace predict subsequent outcome of employment-based reinforcement of cocaine abstinence in methadone patients. Journal of Applied Behavior Analysis, 41(4), 499–516.

    Google Scholar 

  • Donlin Washington, W., Banna, K. M., & Gibson, A. L. (2014). Preliminary efficacy of prize-based contingency management to increase activity levels in healthy adults. Journal of Applied Behavior Analysis, 47, 231–245.

    Google Scholar 

  • Dougher, M. J., & Hackbert, L. (2000). Establishing operations, cognition, and emotion. The Behavior Analyst, 23(1), 11–24.

    PubMed Central  PubMed  Google Scholar 

  • Duan, N., Kravitz, R. L., & Schmid, C. H. (2013). Single-patient (n-of-1) trials: a pragmatic clinical decision methodology for patient-centered comparative effectiveness research. Journal of Clinical Epidemiology, 66(8 Suppl), S21–S28.

    PubMed Central  PubMed  Google Scholar 

  • Ducharme, J. M., & Worling, D. E. (1994). Behavioral momentum and stimulus fading in the acquisition and maintenance of child compliance in the home. Journal of Applied Behavior Analysis, 27(4), 639–647.

    PubMed Central  PubMed  Google Scholar 

  • Erb, P., Meredith, S. E., Raiff, B. R., & Dallery, J. (2014). The accuracy of a lower-cost breath carbon monoxide meter in distinguishing smokers from nonsmokers. Journal of Smoking Cessation. doi:10.1017/jsc.2013.37.

    Google Scholar 

  • Ertin, E., Stohs, N., Kumar, S., Raij, A., al’Absi, M., & Shah, S. (2011). AutoSense: unobtrusively wearable sensor suite for inferencing of onset, causality, and consequences of stress in the field. Proceedings of 9th ACM Conference on Embedded Networked Sensing Systems, 274–287.

  • Forbes, E. E., Stepp, S. D., Dahl, R. E., Ryan, N. D., Whalen, D., Axelson, D. A., & Silk, J. S. (2012). Real-world affect and social context as predictors of treatment response in child and adolescent depression and anxiety: an ecological momentary assessment study. Journal of Child and Adolescent Psychopharmacology, 22(1), 37–47.

    PubMed Central  PubMed  Google Scholar 

  • Foreman, K. F., Stockl, K. M., Le, L. B., Fisk, E., Shah, S. M., Lew, H. C., & Curtis, B. S. (2012). Impact of a text messaging pilot program on patient medication adherence. Clinical Therapeutics, 34(5), 1084–1091.

    PubMed  Google Scholar 

  • Foster, S. L., & Masch, E. J. (1999). Assessing social validity in clinical treatment research: issues and procedures. Journal of Consulting and Clinical Psychology, 67, 308–319.

    PubMed  Google Scholar 

  • Fridlund Dunton, G., Liao, Y., Kawabata, K., Intille, S. (2012). Momentary assessment of adults’ physical activity and sedentary behavior: feasibility and validity. Frontiers in Psychology, 3, doi: 10.3389/fpsyg.2012.00260.

  • Friman, P. C. (2010). Come on in, the water is fine: achieving mainstream relevance through integration with primary medical care. The Behavior Analyst, 33, 19–36.

    PubMed Central  PubMed  Google Scholar 

  • Gambelunghe, C., Rossi, R., Aroni, K., Bacci, M., Lazzarini, A., De Giovanni, N., & Fucci, N. (2013). Sweat testing to monitor drug exposure. Annals of Clinical & Laboratory Science, 43(1), 22–30.

    Google Scholar 

  • Gibbons, M. C., Fleisher, L., Slamon, R. E., Bass, S., Kandadai, V., & Beck, J. R. (2011). Exploring the potential of web 2.0 to address health disparities. Journal of Health Communication, 16(Suppl 1), 77–89.

    PubMed  Google Scholar 

  • Glenn, S. S., Ellis, J., & Greenspoon, J. (1992). On the revolutionary nature of the operant as a unit of behavioral selection. American Psychologist, 47(11), 1329–1336.

    Google Scholar 

  • Granger, B. B., & Bosworth, H. B. (2011). Medication adherence: emerging use of technology. Current Opinion in Cardiology, 26(4), 279–287.

    PubMed Central  PubMed  Google Scholar 

  • Gullov, A. L., Koefoed, B. G., Petersen, P., Pedersen, T. S., Andersen, E. D., Godtfredsen, J., & Boysen, G. (1998). Fixed minidose warfarin and aspirin alone and in combination vs adjusted-dose warfarin for stroke prevention in atrial fibrillation: second Copenhagen atrial fibrillation, aspirin, and anticoagulation study. Archives of Internal Medicine, 158(14), 1513.

    PubMed  Google Scholar 

  • Gustafson, D. H., McTavish, F. M., Chih, M. Y., Atwood, A. K., Johnson, R. A., Boyle, M. G., & Shah, D. (2014). A smartphone application to support recovery from alcoholism: a randomized clinical trial. Journal of the American Medical Association Psychiatry, 71(5), 566–572.

    PubMed Central  PubMed  Google Scholar 

  • Hackenberg, T. D. (2009). Token reinforcement: a review and analysis. Journal of the Experimental Analysis of Behavior, 91(2), 257–286.

    PubMed Central  PubMed  Google Scholar 

  • Haedt-Matt, A. A., & Keel, P. K. (2011). Revisiting the affect regulation model of binge eating: a meta-analysis of studies using ecological momentary assessment. Psychological Bulletin, 137(4), 660–681.

    PubMed Central  PubMed  Google Scholar 

  • Hall, S. M., Humfleet, G. L., Munoz, R. F., Reus, V. I., Prochaska, J. J., & Robbins, J. A. (2011). Using extended cognitive behavioral treatment and medication to treat dependent smokers. American Journal of Public Health, 101(12), 2349–2356.

    PubMed Central  PubMed  Google Scholar 

  • Hand, D. J., Heil, S. H., Sigmon, S. C., & Higgins. S. T. (2014). Improving medicaid health incentives programs: Lessons from substance abuse treatment research. Preventive Medicine, 63, 87–89.

  • Hanley, G. P. (2012). Functional assessment of problem behavior: dispelling myths, overcoming implementation obstacles, and developing new lore. Behavior Analysis in Practice, 5(1), 54–72.

    PubMed Central  PubMed  Google Scholar 

  • Hanley, G. P., Iwata, B. A., & McCord, B. E. (2003). Functional analysis of problem behavior: a review. Journal of Applied Behavior Analysis, 36(2), 147–185.

    PubMed Central  PubMed  Google Scholar 

  • Hayes, S. C., Brownstein, A. J., Zettle, R. D., & Rosenfarb, I. (1986). Rule-governed behavior and sensitivity to changing consequences of responding. Journal of the Experimental Analysis of Behavior, 45(3), 237–256.

    PubMed Central  PubMed  Google Scholar 

  • Heron, K. E., & Smyth, J. M. (2010). Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. British Journal of Health Psychology, 15(1), 1–39.

    PubMed Central  PubMed  Google Scholar 

  • Hertzberg, J. S., Carpenter, V. L., Kirby, A. C., Calhoun, P. S., Moore, S. D., Dennis, M. F., & Beckham, J. C. (2013). Mobile contingency management as an adjunctive smoking cessation treatment for smokers with posttraumatic stress disorder. Nicotine & Tobacco Research, 15, 1934–1938.

    Google Scholar 

  • Heyman, G. M. (2009). Addiction: a disorder of choice. Cambridge: Harvard University Press.

    Google Scholar 

  • Higgins, S. T., Budney, A. J., Bickel, W. K., Foerg, F. E., Donham, R., & Badger, G. J. (1994). Incentives improve outcome in outpatient behavioral treatment of cocaine dependence. Archives of General Psychiatry, 51(7), 568–576.

    PubMed  Google Scholar 

  • Higgins, S. T., Silverman, K., & Heil, S. H. (2008). Contingency management in substance abuse treatment. New York: Guilford.

    Google Scholar 

  • Hineline, P. N. (1990). The origins of environment-based psychological theory. Journal of the Experimental Analysis of Behavior, 53(2), 305–320.

    PubMed Central  PubMed  Google Scholar 

  • Hoffman, J. A., Cunningham, J. R., Suleh, A. J., Sundsmo, A., Dekker, D., Vago, F., & Hunt-Glassman, J. (2010). Mobile direct observation treatment for tuberculosis patients: a technical feasibility pilot using mobile phones in Nairobi, Kenya. American Journal of Preventive Medicine, 39(1), 78–80.

    PubMed  Google Scholar 

  • Hunt, G. M., & Azrin, N. H. (1973). A community-reinforcement approach to alcoholism. Behaviour Research and Therapy, 11(1), 91–104.

    PubMed  Google Scholar 

  • Hustyi, K. M., Normand, M. P., Larson, T. A., & Morley, A. J. (2012). The effect of outdoor activity context on physical activity in preschool children. Journal of Applied Behavior Analysis, 45, 401–405.

    PubMed Central  PubMed  Google Scholar 

  • Hyers, T. M., Agnelli, G., Hull, R. D., Morris, T. A., Samama, M., Tapson, V., & Weg, J. G. (2001). Antithrombotic therapy for venous thromboembolic disease. Chest, 119(1), 176S–193S.

    PubMed  Google Scholar 

  • Iguchi, M. Y., Belding, M. A., Morral, A. R., Lamb, R. J., & Husband, S. D. (1997). Reinforcing operants other than abstinence in drug abuse treatment: an effective alternative for reducing drug use. Journal of Consulting and Clinical Psychology, 65, 421–428.

    PubMed  Google Scholar 

  • International Telecommunications Union. (2011). Retrieved from http://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx, 11/11/13.

  • Intille, S. S., Albinali, F., Mota, S., Kuris, B., Botana, P., & Haskell, W. L. (2011). Design of a wearable physical activity monitoring system using mobile phones and accelerometers. Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3,636–3,639.

  • Iwata, B. A., Dorsey, M. F., Slifer, K. J., Bauman, K. E., & Richman, G. S. (1994). Toward a functional analysis of self-injury. Journal of Applied Behavior Analysis, 27(2), 197–209.

    PubMed Central  PubMed  Google Scholar 

  • Javors, M. A., Hatch, J. P., & Lamb, R. J. (2005). Cut-off levels for breath carbon monoxide as a marker for cigarette smoking. Addiction, 100, 159–167.

    PubMed  Google Scholar 

  • Kamps, A., Roorda, R., & Brand, P. (2001). Peak flow diaries in childhood asthma are unreliable. Thorax, 56(3), 180–182.

    PubMed Central  PubMed  Google Scholar 

  • Kanning, M.K., Ebner-Priemer, U. W., & Schlicht, W. M. (2013). How to investigate within-subject associations between physical activity and momentary affective states in everyday life: a position statement based on a literature overview. Frontiers in Psychology, 29. doi: 10.3389/fpsyg.2013.00187.

  • Kaplan, R. M., & Stone, A. A. (2013). Bringing the laboratory and clinic to the community: mobile technologies for health promotion and disease prevention. Annual Review of Psychology, 64, 471–498.

    PubMed  Google Scholar 

  • Kazdin, A. E. (1999). The meanings and measurement of clinical significance. Journal of Consulting and Clinical Psychology, 67, 332–339.

    PubMed  Google Scholar 

  • Kerr, J., Duncan, S., & Schipperijn, J. (2011). Using global positioning systems in health research: a practical approach to data collection and processing. American Journal of Preventive Medicine, 41(5), 532–540.

    PubMed  Google Scholar 

  • Kidorf, M., & Stitzer, M. L. (1999). Contingent access to clinic privileges reduces drug abuse in methadone maintenance patients. In K. Silverman (Ed.), Motivating behavior change among illicit-drug abusers: research on contingency management interventions (pp. 221–241). Washington: American Psychological Association.

    Google Scholar 

  • Kimmel, S. E., Chen, Z., Price, M., Parker, C. S., Metlay, J. P., Christie, J. D., & Gross, R. (2007). The influence of patient adherence on anticoagulation control with warfarin: results from the International Normalized Ratio Adherence and Genetics (IN-RANGE) study. Archives of Internal Medicine, 167(3), 229.

    PubMed  Google Scholar 

  • King, A. C., Hekler, E. B., Grieco, L. A., Winter, S. J., Sheats, J. L., Buman, M. P., Cirimele, J. (2013). Harnessing different motivational frames via mobile phones to promote daily physical activity and reduce sedentary behavior in aging adults. PloS One, 8(4), doi: 10.1371/journal.pone.0062613.

  • Krummenacher, I., Cavassini, M., Bugnon, O., & Schneider, M. P. (2011). An interdisciplinary HIV-adherence program combining motivational interviewing and electronic antiretroviral drug monitoring. AIDS Care, 23(5), 550–561.

    PubMed  Google Scholar 

  • Kumar, S., Nilsen, W., Pavel, M., & Srivastava, M. (2013a). Mobile health: revolutionizing healthcare through transdisciplinary research. Computer, 46(1), 28–35.

    Google Scholar 

  • Kumar, S., Nilsen, W. J., Abernethy, A., Atienza, A., Patrick, K., Pavel, M., & Swendeman, D. (2013b). Mobile health technology evaluation: the mHealth evidence workshop. American Journal of Preventive Medicine, 45(2), 228–236.

    PubMed Central  PubMed  Google Scholar 

  • Kurti, A. N., & Dallery, J. (2013). Internet‐based contingency management increases walking in sedentary adults. Journal of Applied Behavior Analysis.

  • Lamb, R. J., Kirby, K. C., Morral, A. R., Galbicka, G., & Iguchi, M. Y. (2004). Improving contingency management programs for addiction. Addictive Behaviors, 29, 507–523.

    PubMed  Google Scholar 

  • Lane, N. D., Mohammod, M., Lin, M., Yang, X., Lu, H., Ali, S., Campbell, A. (2011). BeWell: a smartphone application to monitor, model and promote wellbeing. Paper presented at the 5th International Conference on Pervasive Computing Technologies for Healthcare.

  • Laraway, S., Snycerski, S., Michael, J., & Poling, A. (2003). Motivating operations and terms to describe them: some further refinements. Journal of Applied Behavior Analysis, 36(3), 407–414.

    PubMed Central  PubMed  Google Scholar 

  • Larson, E. C., Goel, M., Boriello, G., Heltshe, S., Rosenfeld, M., & Patel, S. N. (2012). SpiroSmart: using a microphone to measure lung function on a mobile phone. Paper presented at the Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 280–289.

  • Larson, T. A., Normand, M. P., Morley, A. J., & Miller, B. G. (2013). A functional analysis of moderate-to-vigorous physical activity in young children. Journal of Applied Behavior Analysis, 46, 199–207.

    PubMed  Google Scholar 

  • Lee, M., Lee, H., Kang, S., Yang, J., Ahn, H., Rhee, M., & Kim, S. (2010a). Variables influencing antidepressant medication adherence for treating outpatients with depressive disorders. Journal of Affective Disorders, 123(1), 216–221.

    PubMed  Google Scholar 

  • Lee, W. G., Kim, Y. G., Chung, B. G., Demirci, U., & Khademhosseini, A. (2010b). Nano/microfluidics for diagnosis of infectious diseases in developing countries. Advanced Drug Delivery Reviews, 62(4–5), 449–457.

    PubMed Central  PubMed  Google Scholar 

  • Leffingwell, T. R., Cooney, N. J., Murphy, J. G., Luczak, S., Rosen, G., Dougherty, D. M., & Barnett, N. P. (2013). Continuous objective monitoring of alcohol use: twenty‐first century measurement using transdermal sensors. Alcoholism: Clinical and Experimental Research, 37(1), 16–22.

    Google Scholar 

  • Legorreta, A. P., Christian-Herman, J., O'Connor, R. D., Hasan, M. M., Evans, R., & Leung, K. (1998). Compliance with national asthma management guidelines and specialty care: A health maintenance organization experience. Archives of Internal Medicine, 158(5), 457.

  • Li, X., Ballerini, D. R., & Shen, W. (2012). A perspective on paper-based microfluidics: current status and future trends. Biomicrofluidics, 6, 011301.

    PubMed Central  Google Scholar 

  • Lillie, E. O., Patay, B., Diamant, J., Issell, B., Topol, E. J., & Schork, N. J. (2011). The n-of-1 clinical trial: the ultimate strategy for individualizing medicine? Personalized Medicine, 8(2), 161–173.

    PubMed Central  PubMed  Google Scholar 

  • Lotfizadeh, A. D., Edwards, T. L., Redner, R., & Poling, A. (2012). Motivating operations affect stimulus control: a largely overlooked phenomenon in discrimination learning. The Behavior Analyst, 35(1), 89–100.

    PubMed Central  PubMed  Google Scholar 

  • Mace, F. C., Lalli, J. S., Shea, M. C., Lalli, E. P., West, B. J., Roberts, M., & Nevin, J. A. (1990). The momentum of human behavior in a natural setting. Journal of the Experimental Analysis of Behavior, 54(3), 163–172.

    PubMed Central  PubMed  Google Scholar 

  • Madison, K., Schmidt, H., & Volpp, K. G. (2013). Smoking, obesity, health insurance, and health incentives in the affordable care act. Journal of the American Medical Association, 310(2), 143–144.

    PubMed  Google Scholar 

  • Makeyev, O., Lopez-Meyer, P., Schuckers, S., Besio, W., & Sazonov, E. (2012). Automatic food intake detection based on swallowing sounds. Biomedical Signal Processing and Control, 7(6), 649–656.

    PubMed Central  PubMed  Google Scholar 

  • Marhe, R., Waters, A. J., van de Wetering, B. J., & Franken, I. H. (2013). Implicit and explicit drug-related cognitions during detoxification treatment are associated with drug relapse: an ecological momentary assessment study. Journal of Consulting and Clinical Psychology, 81(1), 1–12.

    PubMed Central  PubMed  Google Scholar 

  • Marsch, L. A., & Bickel, W. K. (2004). The efficacy of computer-based HIV/AIDS education for injection drug users. American Journal of Health Behavior, 28, 316–27.

    PubMed  Google Scholar 

  • Marsch, L. A., & Dallery, J. (2012). Advances in the psychosocial treatment of addiction: the role of technology in the delivery of evidence-based psychosocial treatment. Psychiatric Clinics of North America, 35(2), 481–493.

    PubMed Central  PubMed  Google Scholar 

  • Marsch, L. A., Guarino, H., Acosta, M., Aponte-Melendez, Y., Cleland, C., Grabinski, M., & Edwards, J. J. (2014). Web-based behavioral treatment for substance use disorders as a partial replacement of standard methadone maintenance treatment. Journal of Substance Abuse and Treatment, 46(1), 43–51.

    Google Scholar 

  • Martens, B. K., Gertza, L. E., Werdera, C. S., Rymanowskia, J. L., & Shankarb, K. H. (2014). Measures of association in contingency space analysis. Journal of Mathematical Psychology.

  • McClernon, F. J., & Roy Choudhury, R. (2013). I am your smartphone and I know you are about to smoke: the application of mobile sensing and computing approaches to smoking research and treatment. Nicotine & Tobacco Research, 5(10), 1651–1654.

    Google Scholar 

  • McComas, J. J., Vollmer, T. R., & Kennedy, C. (2009). Descriptive analysis: quantification and examination of behavior-environment interactions. Journal of Applied Behavior Analysis, 42, 411–412.

    PubMed Central  PubMed  Google Scholar 

  • McDonell, M. G., Howell, D. N., McPherson, S., Cameron, J. M., Srebnik, D., Roll, J. M., & Ries, R. K. (2012). Voucher-based reinforcement for alcohol abstinence using the ethyl-glucuronide alcohol biomarker. Journal of Applied Behavior Analysis, 45(1), 161–165.

    PubMed Central  PubMed  Google Scholar 

  • Meredith, S. E., Grabinski, M. J., & Dallery, J. (2011). Internet-based group contingency management to promote abstinence from cigarette smoking: a feasibility study. Drug and Alcohol Dependence, 118(1), 23–30.

    PubMed Central  PubMed  Google Scholar 

  • Meredith, S. E., Robinson, A., Erb, P., Spieler, C., Klugman, N., Dutta, P., & Dallery, J. (2013). A mobile-phone-based breath carbon monoxide meter to detect cigarette smoking. Nicotine and Tobacco Research, 16, 766–773.

    Google Scholar 

  • Meredith, S. E., Jarvis, B. P., Raiff, B. R., Rojewski, A., Kurti, A., Cassidy, R. N., & Dallery, J. (2014). The ABCs of incentive-based treatment in health care: a behavior analytic framework to inform research and practice. Psychology Research and Behavior Management, 2014(7), 103–114.

    Google Scholar 

  • Michael, J. (2000). Implications and refinements of the establishing operation concept. Journal of Applied Behavior Analysis, 33(4), 401–410.

    PubMed Central  PubMed  Google Scholar 

  • Mitchell, J. T., Dennis, M. F., English, J. S., Dennis, P. A., Brightwood, A., Beckham, J. C., Kollins, S. H. (2014). Ecological momentary assessment of antecedents and consequences of smoking in adults with attention-deficit/hyperactivity disorder. Substance Use and Misuse.

  • Morey, T. E., Booth, M., Wasdo, S., Wishin, J., Quinn, B., Gonzalez, D., & Melker, R. J. (2013). Oral adherence monitoring using a breath test to supplement highly active antiretroviral therapy. AIDS and Behavior, 17(1), 298–306.

    PubMed Central  PubMed  Google Scholar 

  • Morford, Z. H., Witts, B. N., Killingsworth, K. J., & Alavosius, M. P. (2014). Gamification: the intersection between behavior analysis and game design technologies. The Behavior Analyst, 37, 25–40.

    Google Scholar 

  • Mulvaney, S. A., Rothman, R. L., Dietrich, M. S., Wallston, K. A., Grove, E., Elasy, T. A., & Johnson, K. B. (2012). Using mobile phones to measure adolescent diabetes adherence. Health Psychology, 31(1), 43–50.

    PubMed Central  PubMed  Google Scholar 

  • Nevin, J. (1996). The momentum of compliance. Journal of Applied Behavior Analysis, 29(4), 535–547.

    PubMed Central  PubMed  Google Scholar 

  • Normand, M. P., & Kohn, C. S. (2013). Don’t wag the dog: extending the reach of applied behavior analysis. The Behavior Analyst, 36, 109–122.

    PubMed Central  PubMed  Google Scholar 

  • Oldenmenger, W. H., Echteld, M. A., de Wit, R., Sillevis Smitt, P. A., Stronks, D. L., Stoter, G., & van der Rijt, C. C. (2007). Analgesic adherence measurement in cancer patients: comparison between electronic monitoring and diary. Journal of Pain and Symptom Management, 34(6), 639–647.

    PubMed  Google Scholar 

  • Olmstead, T. A., Sindelar, J. L., & Petry, N. M. (2007a). Clinic variation in the cost-effectiveness of contingency management. The American Journal on Addictions/American Academy of Psychiatrists in Alcoholism and Addictions, 16(6), 457–460.

    PubMed Central  PubMed  Google Scholar 

  • Olmstead, T. A., Sindelar, J. L., & Petry, N. M. (2007b). Cost-effectiveness of prize-based incentives for stimulant abusers in outpatient psychosocial treatment programs. Drug and Alcohol Dependence, 87(2–3), 175–182.

    PubMed Central  PubMed  Google Scholar 

  • Palmer, D. C. (2012). The role of atomic repertoires in complex behavior. The Behavior Analyst, 35(1), 59–73.

    PubMed Central  PubMed  Google Scholar 

  • Perrine, M. W., Mundt, J. C., Searles, J. S., & Lester, L. S. (1995). Validation of daily self-reported alcohol consumption using interactive voice response (IVR) technology. Journal of Studies on Alcohol, 56(5), 487–490.

    PubMed  Google Scholar 

  • Petry, N. M. (2010). Contingency management treatments: controversies and challenges. Addiction, 105(9), 1507–1509.

    PubMed  Google Scholar 

  • Petry, N. M., & Simcic, F., Jr. (2002). Recent advances in the dissemination of contingency management techniques: clinical and research perspectives. Journal of Substance Abuse Treatment, 23(2), 81–86.

    PubMed  Google Scholar 

  • Piasecki, T. M., McCarthy, D. E., Fiore, M. C., & Baker, T. B. (2008). Alcohol consumption, smoking urge, and the reinforcing effects of cigarettes: an ecological study. Psychology of Addictive Behaviors, 22, 230–239.

    PubMed  Google Scholar 

  • Piasecki, T. M., Jahng, S., Wood, P. K., Robertson, B. M., Epler, A. J., Cronk, N. J., & Sher, K. J. (2011). The subjective effects of alcohol-tobacco co-use: an ecological momentary assessment investigation. Journal of Abnormal Psychology, 120, 557–571.

    PubMed Central  PubMed  Google Scholar 

  • Plarre, K., Raij, A., Hossain, S. M., Ali, A. A., Nakajima, M., al’Absi, M., Scott, M. (2011). Continuous inference of psychological stress from sensory measurements collected in the natural environment. Paper presented at the Information Processing in Sensor Networks (IPSN), 2011 10th International Conference, 97–108.

  • Plasqui, G., Bonomi, A. G., & Westerterp, K. R. (2013). Daily physical activity assessment with accelerometers: new insights and validation studies. Obesity Reviews, 14(6), 451–462.

    PubMed  Google Scholar 

  • Raiff, B. R., & Dallery, J. (2008). The generality of nicotine as a reinforcer-enhancer in rats: effects on responding maintained by primary and conditioned reinforcers and resistance to extinction. Psychopharmacology, 201, 305–14.

    PubMed  Google Scholar 

  • Raiff, B. R., & Dallery, J. (2010). Internet-based contingency management to improve adherence with blood glucose testing recommendations for teens with type 1 diabetes. Journal of Applied Behavior Analysis, 43(3), 487–491.

    PubMed Central  PubMed  Google Scholar 

  • Raiff, B. R., Jarvis, B. P., & Rapoza, D. (2012). Prevalence of video game use, cigarette smoking, and acceptability of a video game-based smoking cessation intervention among online adults. Nicotine & Tobacco Research, 14(12), 1453–1457.

    Google Scholar 

  • Raiff, B. R., Jarvis, B. P., Turturici, M., & Dallery, D. (2013). Acceptability of an Internet-based contingency management intervention for smoking cessation: the views of smokers, nonsmokers, and healthcare professionals. Experimental and Clinical Psychopharmacology, 21, 204–13.

    PubMed Central  PubMed  Google Scholar 

  • Rand, C. S., Stitzer, M. L., Bigelow, G. E., & Mead, A. M. (1989). The effects of contingent payment and frequent workplace monitoring on smoking abstinence. Addictive Behaviors, 14, 121–128.

    PubMed  Google Scholar 

  • Remington, G., Teo, C., Mann, S., Hahn, M., Foussias, G., & Agid, O. (2013). Examining levels of antipsychotic adherence to better understand nonadherence. Journal of Clinical Psychopharmacology, 33(2), 261–263.

    PubMed  Google Scholar 

  • Reynolds, B., Dallery, J., Shroff, P., Patak, M., & Leraas, K. (2008). A web-based contingency management program with adolescent smokers. Journal of Applied Behavior Analysis, 41(4), 597–601.

    PubMed Central  PubMed  Google Scholar 

  • Riekert, K. A., & Rand, C. S. (2002). Electronic monitoring of medication adherence: when is high-tech best? Journal of Clinical Psychology in Medical Settings, 9(1), 25–32.

    Google Scholar 

  • Rigsby, M. O., Rosen, M. I., Beauvais, J. E., Cramer, J. A., Rainey, P. M., O’Malley, S. S., & Rounsaville, B. J. (2000). Cue-dose training with monetary reinforcement: pilot study of an antiretroviral adherence intervention. Journal of General Internal Medicine, 15(12), 841–847.

    PubMed Central  PubMed  Google Scholar 

  • Riley, W. T., Rivera, D. E., Atienza, A. A., Nilsen, W., Allison, S. M., & Mermelstein, R. (2011). Health behavior models in the age of mobile interventions: are our theories up to the task? Translational Behavioral Medicine, 1(1), 53–71.

    PubMed Central  PubMed  Google Scholar 

  • Robles, E., Silverman, K., Preston, K. L., Cone, E. J., Katz, E., Bigelow, G. E., & Stitzer, M. L. (2000). The brief abstinence test: voucher-based reinforcement of cocaine abstinence. Drug and Alcohol Dependence, 58(1–2), 205–212.

    PubMed  Google Scholar 

  • Rosales‐Ruiz, J., & Baer, D. M. (1997). Behavioral cusps: a developmental and pragmatic concept for behavior analysis. Journal of Applied Behavior Analysis, 30(3), 533–544.

    PubMed Central  PubMed  Google Scholar 

  • Rosen, M. I., Dieckhaus, K., McMahon, T. J., Valdes, B., Petry, N. M., Cramer, J., & Rounsaville, B. (2007). Improved adherence with contingency management. AIDS Patient Care and STDs, 21(1), 30–40.

    PubMed  Google Scholar 

  • Rothney, M. P., Schaefer, E. V., Neumann, M. M., Choi, L., & Chen, K. Y. (2008). Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers. Obesity, 16, 1946–1952.

    PubMed Central  PubMed  Google Scholar 

  • Schlinger, H. D. (1993). Separating discriminative and function-altering effects of verbal stimuli. The Behavior Analyst, 16, 9–23.

    PubMed Central  PubMed  Google Scholar 

  • Schroeder, S. A. (2007). Shattuck lecture. We can do better—improving the health of the American people. The New England Journal of Medicine, 357(12), 1221–1228.

    PubMed  Google Scholar 

  • Shiffman, S. (2009a). Ecological momentary assessment (EMA) in studies of substance use. Psychological Assessment, 21(4), 486.

    PubMed Central  PubMed  Google Scholar 

  • Shiffman, S. (2009b). How many cigarettes did you smoke? Assessing cigarette consumption by global report, time-line follow-back, and ecological momentary assessment. Health Psychology, 28, 519–526. doi:10.1037/a0015197.

    PubMed Central  PubMed  Google Scholar 

  • Shiffman, S. (2014). Conceptualizing analyses of ecological momentary assessment data. Nicotine and Tobacco Research, 16(Suppl 2), S76–S87.

  • Shiffman, S., & Kirchner, T. R. (2009). Cigarette-by-cigarette satisfaction during ad libitum smoking. Journal of Abnormal Psychology, 118, 348–359.

    PubMed Central  PubMed  Google Scholar 

  • Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1–32.

    PubMed  Google Scholar 

  • Silverman, K. (2004). Exploring the limits and utility of operant conditioning in the treatment of drug addiction. The Behavior Analyst, 27(2), 209–230.

    PubMed Central  PubMed  Google Scholar 

  • Silverman, K., Chutuape, M. A., Bigelow, G. E., & Stitzer, M. L. (1996a). Voucher-based reinforcement of attendance by unemployed methadone patients in a job skills training program. Drug and Alcohol Dependence, 41(3), 197–207.

    PubMed  Google Scholar 

  • Silverman, K., Higgins, S. T., Brooner, R. K., Montoya, I. D., Cone, E. J., Schuster, C. R., & Preston, K. L. (1996b). Sustained cocaine abstinence in methadone maintenance patients through voucher-based reinforcement therapy. Archives of General Psychiatry, 53(5), 409–415.

    PubMed  Google Scholar 

  • Silverman, K., Wong, C. J., Higgins, S. T., Brooner, R. K., Montoya, I. D., Contoreggi, C., & Preston, K. L. (1996c). Increasing opiate abstinence through voucher-based reinforcement therapy. Drug and Alcohol Dependence, 41(2), 157–165.

    PubMed  Google Scholar 

  • Silverman, K., Wong, C. J., Grabinski, M. J., Hampton, J., Sylvest, C. E., Dillon, E. M., & Wentland, R. D. (2005). A web-based therapeutic workplace for the treatment of drug addiction and chronic unemployment. Behavior Modification, 29(2), 417–463.

    PubMed  Google Scholar 

  • Silverman, K., Wong, C. J., Needham, M., Diemer, K. N., Knealing, T., Crone-Todd, D., & Kolodner, K. (2007). A randomized trial of employment-based reinforcement of cocaine abstinence in injection drug users. Journal of Applied Behavior Analysis, 40(3), 387–410.

    PubMed Central  PubMed  Google Scholar 

  • Silverstein, J., Klingensmith, G., Copeland, K., Plotnick, L., Kaufman, F., Laffel, L., & Holzmeister, L. A. (2005). Care of children and adolescents with type 1 diabetes: a statement of the American Diabetes Association. Diabetes Care, 28(1), 186–212.

    PubMed  Google Scholar 

  • Sindelar, J., Elbel, B., & Petry, N. M. (2007). What do we get for our money? Cost-effectiveness of adding contingency management. Addiction, 102(2), 309–316.

    PubMed  Google Scholar 

  • Skinner, B. F. (1953). Science and human behavior. Oxford: Macmillan.

    Google Scholar 

  • Sokolovsky, A. W., Mermelstein, R. J., & Hedeker, D. (2012). Factors predicting compliance to ecological momentary assessment among adolescent smokers. Nicotine and Tobacco Research, 16, 351–358.

    Google Scholar 

  • Sorensen, J. L., Haug, N. A., Delucchi, K. L., Gruber, V., Kletter, E., Batki, S. L., & Hall, S. (2007). Voucher reinforcement improves medication adherence in HIV-positive methadone patients: a randomized trial. Drug and Alcohol Dependence, 88(1), 54–63.

    PubMed Central  PubMed  Google Scholar 

  • Spring, B., Schneider, K., McFadden, H. G., Vaughn, J., Kozak, A. T., Smith, M., & Hedeker, D. (2012). Multiple behavior changes in diet and activity: a randomized controlled trial using mobile technology. Archives of Internal Medicine, 172(10), 789–796.

    PubMed Central  PubMed  Google Scholar 

  • Stitzer, M. L., Bigelow, G. E., Liebson, I. A., & Hawthorne, J. W. (1982). Contingent reinforcement for benzodiazepine-free urines: evaluation of a drug abuse treatment intervention. Journal of Applied Behavior Analysis, 15(4), 493–503.

    PubMed Central  PubMed  Google Scholar 

  • Stokes, T. F., & Baer, D. M. (1977). An implicit technology of generalization. Journal of Applied Behavior Analysis, 10, 349–367.

  • Stoops, W. W., Dallery, J., Fields, N. M., Nuzzo, P. A., Schoenberg, N. E., Martin, C. A., & Wong, C. J. (2009). An internet-based abstinence reinforcement smoking cessation intervention in rural smokers. Drug and Alcohol Dependence, 105(1–2), 56–62.

    PubMed Central  PubMed  Google Scholar 

  • Sun, F., Kuo, C., Cheng, H., Buthpitiya, S., Collins, P., & Griss, M. (2012). Activity-aware mental stress detection using physiological sensors. Mobile computing, applications, and services, 76, 211–230.

    Google Scholar 

  • Sundberg, M. L. (2013). Thirty points about motivation from Skinner’s book verbal behavior. Analysis of Verbal Behavior, 29, 13–40.

    PubMed Central  PubMed  Google Scholar 

  • Swift, R. (2003). Direct measurement of alcohol and its metabolites. Addiction, 98(s2), 73–80.

    PubMed  Google Scholar 

  • Tang, J., Mandrusiak, A., & Russell, T. (2012). The feasibility and validity of a remote pulse oximetry system for pulmonary rehabilitation: a pilot study. International Journal of Telemedicine and Applications, 2012, 11.

    Google Scholar 

  • Tapper, K. (2005). Motivating operations in appetite research. Appetite, 45, 95–107.

    PubMed  Google Scholar 

  • Thompson, T. (2007). Relations among functional systems in behavior analysis. Journal of the Experimental Analysis of Behavior, 87(3), 423–440.

    PubMed Central  PubMed  Google Scholar 

  • Thompson, R. H., & Borrero, J. C. (2011). Direct observation. In W. W. Fisher, C. C. Piazza, & H. S. Roane (Eds.), Handbook of applied behavior analysis (pp. 191–205). New York: Guilford.

    Google Scholar 

  • Todd, M., Armeli, S., & Tennen, H. (2009). Interpersonal problems and negative mood as predictors of within-day time to drinking. Psychology of Addictive Behaviors, 23(2), 205.

    PubMed Central  PubMed  Google Scholar 

  • Tomlinson, M., Rotheram-Borus, M. J., Swartz, L., & Tsai, A. C. (2013). Scaling up mHealth: where is the evidence? PLoS Medicine, 10(2), e1001382.

    PubMed Central  PubMed  Google Scholar 

  • Topol, E. J. (2012). The creative destruction of medicine how the digital revolution will create better health care. New York: Basic Books.

  • Twyman, J. S. (2011). Emerging technologies and behavioral cusps: a new era for behaviour analysis? European Journal of Behavior Analysis, 12, 461–482.

    Google Scholar 

  • Valdovinos, M. G., & Kennedy, C. H. (2004). A behavior-analytic conceptualization of the side effects of psychotropic medication. The Behavior Analyst, 27, 231–238.

    PubMed Central  PubMed  Google Scholar 

  • Van Camp, C. M., & Hayes, L. B. (2012). Assessing and increasing physical activity. Journal of Applied Behavior Analysis, 45(4), 871.

    PubMed Central  PubMed  Google Scholar 

  • van Onzenoort, H. A., Neef, C., Verberk, W. W., van Iperen, H. P., de Leeuw, P. W., & van der Kuy, P. H. (2012). Determining the feasibility of objective adherence measurement with blister packaging smart technology. American Journal of Health-System Pharmacy: AJHP: Official Journal of the American Society of Health-System Pharmacists, 69(10), 872–879.

    Google Scholar 

  • Volpp, K. G., Loewenstein, G., Troxel, A. B., Doshi, J., Price, M., Laskin, M., & Kimmel, S. E. (2008). A test of financial incentives to improve warfarin adherence. BMC Health Services Research, 8(1), 272.

  • Wade, V. A., Karnon, J., Eliott, J. A., & Hiller, J. E. (2012). Home videophones improve direct observation in tuberculosis treatment: a mixed methods evaluation. PloS One, 7(11). doi:10.1371/journal.pone.0050155.

  • Weiser, M. (1994). The computer for the 21st century. Scientific American, September, 94-104.

  • Williams, A. B., Amico, K. R., Bova, C., & Womack, J. A. (2013). A proposal for quality standards for measuring medication adherence in research. AIDS and Behavior, 17(1), 284–97.

    PubMed Central  PubMed  Google Scholar 

  • Wise, J., & Operario, D. (2008). Use of electronic reminder devices to improve adherence to antiretroviral therapy: a systematic review. AIDS Patient Care and STDs, 22(6), 495–504.

    PubMed  Google Scholar 

  • Zeller, A., Schroeder, K., & Peters, T. J. (2007). Electronic pillboxes (MEMS) to assess the relationship between medication adherence and blood pressure control in primary care. Scandinavian Journal of Primary Health Care, 25(4), 202–207.

    PubMed Central  PubMed  Google Scholar 

  • Zickuhr, K., & Smith, A. (2012). Digital differences. Washington: Pew Charitable Trust. Retrieved from http://www.pewinternet.org/2012/04/13/digital-differences/.

  • Zullig, L. L., Shaw, R. J., & Bosworth, H. B. (2014). Applying technology to medication management and adherence. In L. Marsch, S. Lord, & J. Dallery (Eds.), Behavioral health care and technology: using science-based innovations to transform practice. Oxford: Oxford University Press.

    Google Scholar 

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Acknowledgments

The preparation of this paper was supported in part by Grants P30DA029926 and R01DA023469 from the National Institute on Drug Abuse. We thank Brantley Jarvis and Paul Soto for helpful comments on a previous draft of this manuscript.

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  1. Department of Psychology, University of Florida, P. O. Box 112250, Gainesville, FL, 32611, USA

    Jesse Dallery, Allison Kurti & Philip Erb

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Dallery, J., Kurti, A. & Erb, P. A New Frontier: Integrating Behavioral and Digital Technology to Promote Health Behavior. BEHAV ANALYST 38, 19–49 (2015). https://doi.org/10.1007/s40614-014-0017-y

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