Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-24T13:53:09.170Z Has data issue: false hasContentIssue false

37 - Monitoring Interventions

from Part III - Behavior Change Interventions: Practical Guides to Behavior Change

Published online by Cambridge University Press:  04 July 2020

Martin S. Hagger
Affiliation:
University of California, Merced
Linda D. Cameron
Affiliation:
University of California, Merced
Kyra Hamilton
Affiliation:
Griffith University
Nelli Hankonen
Affiliation:
University of Helsinki
Taru Lintunen
Affiliation:
University of Jyväskylä
Get access

Summary

Monitoring is a self-regulatory process involved in making changes to behavior. Monitoring involves a person, group, or organization taking stock of the current situation, comparing this to some goal or reference value, and identifying whether or not there is a discrepancy. Noting a discrepancy can be a reason for taking additional action to ensure goals are achieved or for adjusting or disengaging from the goal. Monitoring can also identify actions required to overcome barriers to goal striving and whether these actions have the intended effects. Given that people often do not monitor their progress, termed “the ostrich problem,” interventions that prompt monitoring can be an effective way to promote changes in behavior. This chapter reviews the evidence that monitoring interventions promote changes in behavior, identifies how monitoring has been conceptualized within theoretical models and existing taxonomies of behavior change techniques, and describes some of the mechanisms by which monitoring promotes behavior change. The chapter concludes that monitoring can be an effective strategy for promoting changes in a range of behaviors and contexts but also that developing monitoring interventions can be complex. A practical guide for the development and application of monitoring strategies is also presented, based on the literature and research evidence on monitoring interventions.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. A. (2005). Review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology, 25, 273291. https://doi.org/10.1016/j.jenvp.2005.08.002CrossRefGoogle Scholar
Anseel, F., Beatty, A., Shen, W., Lievens, F., & Sackett, P. R. (2015). How are we doing after 30 years? A meta-analytic review of the antecedents and outcomes of feedback-seeking behavior. Journal of Management, 41, 318348. https://doi.org/10.1177/0149206313484521Google Scholar
Ashford, S. J. (1986). Feedback-seeking in individual adaptation: A resource perspective. Academy of Management Journal, 29, 465487. https://doi.org/10.2307/256219Google Scholar
Ashford, S. J. (2003). Reflections on the looking glass: A review of research on feedback-seeking behavior in organizations. Journal of Management, 29, 773799. https://doi.org/10.1016/S0149-2063(03)00079-5Google Scholar
Banas, K., Lyimo, R. A., Hospers, H. J., van der Ven, A., & de Bruin, M. (2017). Predicting adherence to combination antiretroviral therapy for HIV in Tanzania: A test of an extended theory of planned behavior model. Psychology & Health, 32, 12491265. https://doi.org/10.1080/08870446.2017.1283037Google Scholar
Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50, 248287. https://doi.org/10.1016/0749-5978(91)90022-LGoogle Scholar
Baumeister, R. F., Vohs, K. D., DeWall, C. N., & Zheng, L. (2007). How emotion shapes behavior: Feedback, anticipation, and reflection, rather than direct causation. Personality and Social Psychology Review, 11, 167203. https://doi.org/10.1177/1088868307301033Google Scholar
Beck, J. W., Scholer, A. A., & Hughes, J. (2017). Divergent effects of distance versus velocity disturbances on emotional experiences during goal pursuit. Journal of Applied Psychology, 102, 11091123. https://doi.org/10.1037/apl0000210.Google Scholar
Bonezzi, A., Brendl, C. M., & De Angelis, M. (2011). Stuck in the middle: The psychophysics of goal pursuit. Psychological Science, 22, 607612. https://doi.org/10.1177/0956797611404899CrossRefGoogle ScholarPubMed
Bray, E. P., Holder, R., Mant, J., & McManus, R. J. (2010). Does self-monitoring reduce blood pressure? Meta-analysis with meta-regression of randomized controlled trials. Annals of Medicine, 42, 371386. https://doi.org/10.3109/07853890.2010.489567Google Scholar
Brown, C. M., & McConnell, A. R. (2011). Discrepancy-based and anticipated emotions in behavioral self-regulation. Emotion, 11, 10911095. https://doi.org/10.1037/a0021756Google Scholar
Butryn, M. L., Phelan, S., Hill, J. O., & Wing, R. R. (2007). Consistent self-monitoring of weight: A key component of successful weight loss maintenance. Obesity, 15, 30913096. https://doi.org/10.1038/oby.2007.368Google Scholar
Campion, M. A., & Lord, R. G. (1982). A control systems conceptualization of the goal-setting and changing process. Organizational Behavior and Human Performance, 30, 265287. https://doi.org/10.1016/0030-5073(82)90221-5Google Scholar
Carraro, N., & Gaudreau, P. (2013). Spontaneous and experimentally induced action planning and coping planning for physical activity: A meta-analysis. Psychology of Sport and Exercise, 14, 228248. http://dx.doi.org/10.1016/j.psychsport.2012.10.004CrossRefGoogle Scholar
Carver, C. S. (2003). Pleasure as a sign you can attend to something else: Placing positive feelings within a general model of affect. Cognition and Emotion, 17, 241261. https://doi.org/10.1080/02699930302294Google Scholar
Carver, C. S., & Scheier, M. F. (1982). Control theory: A useful conceptual framework for personality-social, clinical, and health psychology. Psychological Bulletin, 92, 111135. https://doi.org/10.1037/0033-2909.92.1.111Google Scholar
Carver, C. S., & Scheier, M. F. (1990). Origins and functions of positive and negative affect: A control-process view. Psychological Review, 97, 1935. https://doi.org/10.1037/0033-295X.97.1.19Google Scholar
Carver, C. S., Lawrence, J. W., & Scheier, C. S. (1999). Self-discrepancies and affect: Incorporating the role of feared selves. Personality and Social Psychology Bulletin, 25, 783792. https://doi.org/10.1177/0146167299025007002Google Scholar
Clar, C., Barnard, K., Cummins, E., Royle, P., & Waugh, N. (2010). Self-monitoring of blood glucose in type 2 diabetes: Systematic review. Health Technology Assessment, 14, 1140. https://doi.org/10.3310/hta14120Google Scholar
de Bruin, M., Hospers, H. J., van Breukelen, G. J., Kok, G., Koevoets, W. M., & Prins, J. M. (2010). Electronic monitoring-based counseling to enhance adherence among HIV-infected patients: a randomized controlled trial. Health Psychology, 29, 421428. https://doi.org/10.1037/a0020335CrossRefGoogle ScholarPubMed
de Bruin, M., Hospers, H. J., van den Borne, H. W., Kok, G., & Prins, J. M. (2005). Theory and evidence-based intervention to improve adherence to antiretroviral therapy among HIV-infected patients in the Netherlands: a pilot study. AIDS Patient Care and STDs, 19, 384394. https://doi.org/10.1089/APC.2005.19.384CrossRefGoogle ScholarPubMed
de Bruin, M., Oberjé, E. J. M., Viechtbauer, W. et al. (2017). Effectiveness and cost-effectiveness of a nurse-delivered intervention to improve adherence to treatment for HIV: A pragmatic, multicentre, open-label, randomised clinical trial. The Lancet Infectious Diseases, 17, 595604. https://doi.org/10.1016/S1473-3099(16)30534-5Google Scholar
de Bruin, M., Sheeran, P., Kok, G. et al. (2012). Self-regulatory processes mediate the intention-behavior relation for adherence and exercise behaviors. Health Psychology, 31, 695703. https://doi.org/10.1037/ a0027425Google Scholar
Della Libera, C., & Chelazzi, L. (2006). Visual selective attention and the effects of monetary rewards. Psychological Science, 17, 222227. https://doi.org/10.1111/j.1467-9280.2006.01689.xGoogle Scholar
Dombrowski, S. U., Sniehotta, F. F., Avenell, A., Johnston, M., MacLennan, G., & Araújo-Soares, V. (2012). Identifying active ingredients in complex behavioural interventions for obese adults with obesity-related co-morbidities or additional risk factors for co-morbidities: A systematic review. Health Psychology Review, 6, 732. https://doi.org/10.1080/ 17437199.2010.513298Google Scholar
Duval, S., & Wicklund, R. (1972). A Theory of Objective Self-Awareness. New York: Academic Press.Google Scholar
Febbraro, G. A. R., & Clum, G. A. (1998). Meta-analytic investigation of the effectiveness of self-regulatory components in the treatment of adult problem behaviors. Clinical Psychology Review, 18, 143161. https://doi.org/10.1016/S0272-7358(97)00008-1Google Scholar
Finkelstein, E. A., Haaland, B. A., Bilger, M. et al. (2016). Effectiveness of activity trackers with and without incentives to increase physical activity (TRIPPA): A randomised controlled trial. The Lancet Diabetes and Endocrinology, 4, 983995. https://doi.org/10.1016/S2213-8587(16)30284-4Google Scholar
Fishbach, A., Touré-Tillery, M., Carter, T. J., & Sheldon, O. J. (2012). The problem with self-control. Paper presented at the Society for Personality and Social Psychology Conference, January, San Diego, CA, January 26–28.Google Scholar
Ford, D. H. (1987). Humans As Self-Constructing Living Systems: A Developmental Perspective on Behavior and Personality. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Gollwitzer, P. M., & Sheeran, P. (2006). Implementation intentions and goal achievement: A meta-analysis of effects and processes. Advances in Experimental Social Psychology, 38, 69120. http://dx.doi.org/10.1016/ S0065-2601(06)38002–1Google Scholar
Gonzalez, J. S., Safren, S. A., Cagliero, E. et al. (2007). Depression, self-care, and medication adherence in Type 2 Diabetes: Relationships across the full range of symptom severity. Diabetes Care, 30, 22222227. https://doi.org/10.2337/dc07-0158Google Scholar
Greaves, C. J., Sheppard, K. E., Abraham, C. et al. (2011). Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions. BMC Public Health, 11, 119. https://doi.org/10.1186/1471-2458-11-119CrossRefGoogle ScholarPubMed
Hargreaves, T., Nye, M., & Burgess, J. (2010). Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors. Energy Policy, 38, 61116119. https://doi.org/10.1016/j.enpol.2010.05.068Google Scholar
Harkin, B., Webb, T. L., Chang, B. P. I. et al. (2016). Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence. Psychological Bulletin, 142, 198229. https://doi.org/10.1037/bul0000025Google Scholar
Helsel, D. L., Jakicic, J. M., & Otto, A. D. (2007). Comparison of techniques for self-monitoring eating and exercise behaviors on weight loss in a correspondence-based intervention. Journal of the American Dietetic Association, 107, 18071810. https://doi.org/10.1016/j.jada.2007.07.014Google Scholar
Heneghan, C., Ward, A., Perera, R. et al. (2012). Self-monitoring of oral anticoagulation: Systematic review and meta-analysis of individual patient data. The Lancet, 379. https://doi.org/10.1016/S0140-6736(11)61294-4Google Scholar
Howansky, K., Dominick, J. K., & Cole, S. (2018). The look of success or failure: Biased self-perceptions serve as informational feedback during goal pursuit. Motivation Science. https://doi.org/10.1037/mot0000121CrossRefGoogle Scholar
Huang, S.-C., Zhang, Y., & Broniarczyk, S. M. (2012). So near and yet so far: The mental representation of goal progress. Journal of Personality and Social Psychology, 103, 225241. https://doi.org/10.1037/a0028443Google Scholar
Ickes, W., Dugosh, J. W., Simpson, J. A., & Wilson, C. L. (2003). Suspicious minds: The motive to acquire relationship-threatening information. Personal Relationships, 10, 131148. https://doi.org/10.1111/1475-6811.00042Google Scholar
Jakicic, J. M., Davis, K. K., Rogers, R. J., et al. (2016). Effect of wearable technology combined with a lifestyle intervention on long-term weight loss: The idea randomized clinical trial. Journal of the American Medical Association, 316, 11611171. https://doi.org/10.1001/jama.2016.12858Google Scholar
Kanfer, F. H., & Karoly, P. (1972). Self-control: A behavioristic excursion into the lion’s den. Behavior Therapy, 3, 398416. https://doi.org/10.1016/S0005-7894(72)80140-0Google Scholar
Kluger, A. N., & DeNisi, A. (1996). The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119, 254284. https://doi.org/10.1037/0033-2909.119.2.254Google Scholar
Kok, G., Gottlieb, N. H., Peters, G.-J. Y. et al. (2016). A taxonomy of behaviour change methods: An intervention mapping approach. Health Psychology Review, 10, 297312. https://doi.org/10.1080/17437199.2015.1077155CrossRefGoogle ScholarPubMed
Latham, G. P., & Locke, E. A. (1991). Self-regulation through goal setting. Organizational Behavior and Human Decision Processes, 50, 212247. https://doi.org/10.1016/0749-5978(91)90021-KGoogle Scholar
Lewin, K. (1951). Field Theory in Social Science. New York: Harper.Google Scholar
Louro, M. J., Pieters, R., & Zeelenberg, M. (2007). Dynamics of multiple-goal pursuit. Journal of Personality and Social Psychology, 93, 174193. https://doi.org/10.1037/0022-3514.93.2.174Google Scholar
Michie, S., Abraham, C., Whittington, C., McAteer, J., & Gupta, S. (2009). Effective techniques in healthy eating and physical activity interventions: A meta-regression. Health Psychology, 28, 690701. https://doi.org/10.1037/a0016136CrossRefGoogle Scholar
Michie, S., Richardson, M., Johnston, M. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https://doi.org/10.1007/s12160-013-9486-6Google Scholar
Miller, G. A., Galanter, E., & Pribram, K. H. (1960). Plans and the Structure of Behavior. New York: Holt, Rinehart, & Winston. https://doi.org/10.1037/10039-000Google Scholar
Moberly, N. J., & Watkins, E. R. (2010). Negative affect and ruminative self-focus during everyday goal pursuit. Cognition and Emotion, 24, 729739. https://doi.org/10.1080/02699930802696849Google Scholar
Myrseth, K. O. R., & Fishbach, A. (2009). Self-control: A function of knowing when and how to exercise restraint. Current Directions in Psychological Science, 18, 247252. https://doi.org/10.1111/j.1467-8721.2009.01645.xGoogle Scholar
Powers, W. T. (1973). Behavior: The Control of Perception. Chicago: Aldine.Google Scholar
Reynolds, J. P., Webb, T. L., Benn, Y., Chang, B. P. I., & Sheeran, P. (2018). Feeling bad about progress does not lead people to want to change their health behaviour. Psychology and Health, 33, 275291. https://doi.org/10.1080/08870446.2017.1310862CrossRefGoogle Scholar
Richardson, C. R., Newton, T. L., Abraham, J. J., Sen, A., Jimbo, M., & Swartz, A. M. (2008). A meta-analysis of pedometer-based walking interventions and weight loss. Annals of Family Medicine, 6, 6977. https://doi.org/10.1370/afm.761Google Scholar
Shaffer, J. A., Kronish, I. M., Falzon, L., Cheung, Y. K., & Davidson, K. W. (2018). N-of-1 randomized intervention trials in health psychology: A systematic review and methodology critique. Annals of Behavioral Medicine, 52, 731742. https://doi.org/10.1093/abm/kax026.Google Scholar
Tice, D. M., Bratslavsky, E., & Baumeister, R. F. (2001). Emotional distress regulation takes precedence over impulse control: If you feel bad, do it! Journal of Personality and Social Psychology, 80, 5367. https://doi.org/10.1037/0022-3514.80.1.53Google Scholar
Wang, C., & Mukhopadhyay, A. (2012). The dynamics of goal revision: A Cybernetic Multiperiod Test-Operate-Test-Adjust-Loop (TOTAL) model of self-regulation. Journal of Consumer Research, 38, 815832. https://doi.org/10.1086/660853Google Scholar
Webb, T. L., Benn, Y., & Chang, B. P. I. (2014). Antecedents and consequences of monitoring domestic electricity consumption. Journal of Environmental Psychology, 40, 228238. https://doi.org/10.1016/j.jenvp.2014.07.001Google Scholar
Webb, T. L., Chang, B. P. I., & Benn, Y. (2013). “The ostrich problem”: Motivated avoidance or rejection of information about goal progress. Social and Personality Psychology Compass, 7, 794807. https://doi.org/10.1111/spc3.12071Google Scholar
Webber, J., Scheuermann, B., McCall, C., & Coleman, M. (1993). Research on self-monitoring as a behavior management technique in special-education classrooms: A descriptive review. Remedial and Special Education, 14, 3856. https://doi.org/10.1177/074193259301400206Google Scholar
WHO (World Health Organization). (2015). Sugars Intake for Adults and Children. Geneva: WHO. www.who.int/nutrition/publications/guidelines/sugars_intake/enGoogle Scholar
Wilhite, H., & Ling, R. (1995). Measured energy savings from a more informative energy bill. Energy and Buildings, 22, 145155.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×