References
- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. doi: https://doi.org/10.1016/0749-5978(91)90020-T
- Alloy, L. B., & Tabachnik, N. (1984). Assessment of covariation by humans and animals: The joint influence of prior expectations and current situational information. Psychological Review, 91, 112–149. doi: https://doi.org/10.1037/0033-295X.91.1.112
- Anchisi, D., & Zanon, M. (2015). A Bayesian perspective on sensory and cognitive integration in pain perception and placebo analgesia. PLoS ONE, 10, 1–20. doi:https://doi.org/10.1371/journal.pone.0117270
- Bandura, A. (1977). Social learning theory. Englewood Cliffs, NJ: Prentice Hall.
- Benedetti, F., Enck, P., Frisaldi, E., & Schedlowski, M. (Eds.). (2014). Placebo: Handbook of experimental pharmacology, Vol. 225. Berlin: Springer.
- Bodenheimer, T., Lorig, K., Holman, H., & Grumbach, K. (2002). Patient self-management of chronic disease in primary care. Journal of the American Medical Association, 288, 2469–2475. doi: https://doi.org/10.1001/jama.288.19.2469
- Brandes, K., & Mullan, B. (2014). Can the common-sense model predict adherence in chronically ill patients? A meta-analysis. Health Psychology Review, 8, 129–153. doi:https://doi.org/10.1080/17437199.2013.820986
- Buehner, M. J. (2005). Contiguity and covariation in human causal inference. Animal Learning & Behavior, 33, 230–238. doi:https://doi.org/10.3758/BF03196065
- Campbell, U. B., Stang, P., & Barron, R. (2008). Survey assessment of continuation of and satisfaction with pharmacological treatment for urinary incontinence. Value in Health, 11, 726–732. doi:https://doi.org/10.1111/j.1524-4733.2007.00295.x
- Champion, V., & Skinner, C. (2008). The health belief model. In K. Glanz, B. Rimer, & K. Viswanath (Eds.), Health behavior and health education: Theory, research, and practice. (pp. 45–65). San Francisco, CA: Jossey-Bass.
- Clifford, S., Barber, N., Elliott, R., Hartley, E., & Horne, R. (2006). Patient-centred advice is effective in improving adherence to medicines. Pharmacy World and Science, 28, 165–170. doi:https://doi.org/10.1007/s11096-006-9026-6
- Clifford, S., Barber, N., & Horne, R. (2008). Understanding different beliefs held by adherers, unintentional nonadherers, and intentional nonadherers: Application of the necessity-concerns framework. Journal of Psychosomatic Research, 64, 41–46. doi:https://doi.org/10.1016/j.jpsychores.2007.05.004
- Cutler, D., & Everett, W. (2014). Thinking outside the pillbox – Medication adherence as a priority for health care reform. The New England Journal of Medicine, 362, 1553–1555. doi:https://doi.org/10.1056/NEJMp1415160
- Daw, N. D., O’Doherty, J. P., Dayan, P., Seymour, B., & Dolan, R. J. (2006). Cortical substrates for exploratory decisions in humans. Nature, 441, 876–879. doi:https://doi.org/10.1038/nature04766
- Dennis, M. J., & Ahn, W. K. (2001). Primacy in causal strength judgments: The effect of initial evidence for generative versus inhibitory relationships. Memory & Cognition, 29, 152–164. doi:https://doi.org/10.3758/BF03195749
- DiMatteo, M. R., Haskard-Zolnierek, K. B., & Martin, L. R. (2012). Improving patient adherence: A three-factor model to guide practice. Health Psychology Review, 6, 74–91. doi:https://doi.org/10.1080/17437199.2010.537592
- Dowell, J., & Hudson, H. (1997). A qualitative study of medication-taking behaviour in primary care. Family Practice, 14, 369–375. doi: https://doi.org/10.1093/fampra/14.5.369
- Gao, X., Nau, D., Rosenbluth, S., Scott, V., & Woodward, C. (2000). The relationship of disease severity, health beliefs and medication adherence among HIV patients. AIDS Care, 12, 387–398. doi: https://doi.org/10.1080/09540120050123783
- Gardner, E. M., Sharma, S., Peng, G., Hullsiek, K. H., Burman, W. J., Macarthur, R. D., … Mannheimer, S. B. (2008). Differential adherence to combination antiretroviral therapy is associated with virological failure with resistance. AIDS, 22, 75–82. doi:https://doi.org/10.1097/QAD.0b013e3282f366ff
- Geddes, J. R., Cipriani, A., & Horne, R. (2014). Communicating the harmful effects of medicines. BMJ (Clinical Research Ed.), 348, g4047. doi:https://doi.org/10.1136/bmj.g4047
- Gellad, W. F. (2014). Targeted cancer therapy: From bench to bedside to patient. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology, 32, 268–270. doi:https://doi.org/10.1200/JCO.2013.53.8413
- Granger, B. B., & Bosworth, H. B. (2011). Medication adherence: Emerging use of technology. Current Opinion in Cardiology, 26, 279–287. doi:https://doi.org/10.1097/HCO.0b013e328347c150
- Griffiths, T. L., & Tenenbaum, J. (2009). Theory-based causal induction. Psychological Review, 116, 661–716. doi:https://doi.org/10.1037/a0017201
- Griffiths, T. L., & Yuille, A. L. (2006). Technical introduction: A primer on probabilistic inference. Trends in Cognitive Sciences, 10, 1–10. doi: https://doi.org/10.1016/j.tics.2005.11.002
- Gureckis, T. M., & Love, B. C. (2009). Short-term gains, long-term pains: How cues about state aid learning in dynamic environments. Cognition, 113, 293–313. doi:https://doi.org/10.1016/j.cognition.2009.03.013
- Hagmayer, Y., & Mayrhofer, R. (2013). Hierarchical Bayesian models as formal models of causal reasoning. Argument & Computation, 4, 36–45. doi:https://doi.org/10.1080/19462166.2012.700321
- Hagmayer, Y., & Waldmann, M. R. (2002). How temporal assumptions influence causal judgments. Memory & Cognition, 30, 1128–1137. doi:https://doi.org/10.3758/BF03194330
- Hastie, R. (2016). Causal thinking in judgments. In Blackwell handbook of judgment and decision making (2nd ed., pp. 590–628). New York, NY: Blackwell.
- Hattori, M., & Oaksford, M. (2007). Adaptive non-interventional heuristics for covariation detection in causal induction: Model comparison and rational analysis. Cognitive Science: A Multidisciplinary Journal, 31, 765–814. doi:https://doi.org/10.1080/03640210701530755
- Hochbaum, G. M. (1958). Public participation in medical screening programs: A socio-psychological study. Washington, DC: US Department of Health, Education, and Welfare, Public Health Service, Bureau of State Services, Division of Special Health Services, Tuberculosis Program.
- Horne, R., Chapman, S. C. E., Parham, R., Freemantle, N., Forbes, A., & Cooper, V. (2013). Understanding patients’ adherence-related beliefs about medicines prescribed for long-term conditions: A meta-analytic review of the necessity-concerns framework. PLOS ONE, 8, 1–24. doi:https://doi.org/10.1371/journal.pone.0080633
- Horne, R., Parham, R., Driscoll, R., & Robinson, A. (2009). Patients’ attitudes to medicines and adherence to maintenance treatment in inflammatory bowel disease. Inflammatory Bowel Diseases, 15, 837–844. doi:https://doi.org/10.1002/ibd.20846
- Horne, R., & Weinman, J. (1999). Patients’ beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness. Journal of Psychosomatic Research, 47, 555–567. doi:https://doi.org/10.1016/S0022-3999(99)00057-4
- Horne, R., Weinman, J., & Hankins, M. (1999). The beliefs about medicines questionnaire: The development and evaluation of a new method for assessing the cognitive representation of medication. Psychology and Health, 14, 1–24. doi: https://doi.org/10.1080/08870449908407311
- Jackson, C., Eliasson, L., Barber, N., & Weinman, J. (2014). Applying COM-B to medication adherence: A suggested framework for research and interventions. The European Health Psychologist, 16, 7–17.
- Kabiri, M., Jazwinski, A. B., Roberts, M. S., Schaefer, A. J., & Chhatwal, J. (2014). The changing burden of hepatitis C virus infection in the United States: Model-based predictions. Annals of Internal Medicine, 161, 170–180. doi:https://doi.org/10.7326/M14-0095
- Karter, A. J., Parker, M. M., Moffet, H. H., Ahmed, A. T., Schmittdiel, J. a., & Selby, J. V. (2009). New prescription medication gaps: A comprehensive measure of adherence to new prescriptions. Health Services Research, 44, 1640–1661. doi:https://doi.org/10.1111/j.1475-6773.2009.00989.x
- Kravitz, R., Duan, N., & DEcIDE Methods Center N-of-1 Guidance Panel. (2014). Design and implementation of N-of-1 trials: A user’s guide. Rockville, MD: Agency for Healthcare Research and Quality. Retrieved from https://www.effectivehealthcare.ahrq.gov/ehc/products/534/1844/n-1-trials-report-130213.pdf
- Lacey, J., Cate, H., & Broadway, D. C. (2009). Barriers to adherence with glaucoma medications: A qualitative research study. Eye, 23, 924–932. doi:https://doi.org/10.1038/eye.2008.103
- Leventhal, H., Brissette, I., & Leventhal, E. (2003). The common-sense model of self-regulation of health and illness. In L. Cameron & H. Leventhal (Eds.), The self-regulation of health and illness behavior. (pp. 42–65). London: Routledge.
- Leventhal, H., Diefenbach, M., & Leventhal, E. (1992). Illness cognition: Using common sense to understand treatment adherence and affect cognition interactions. Cognitive Therapy and Research, 16, 143–163. doi: https://doi.org/10.1007/BF01173486
- Liljeholm, M., & Cheng, P. W. (2007). When is a cause the “same”? Coherent generalization across contexts. Psychological Science, 18, 1014–1021. doi:https://doi.org/10.1111/j.1467-9280.2007.02017.x
- Lucas, C. G., & Griffiths, T. L. (2010). Learning the form of causal relationships using hierarchical Bayesian models. Cognitive Science, 34, 113–147. doi:https://doi.org/10.1111/j.1551-6709.2009.01058.x
- Luhmann, C. C., & Ahn, W. (2011). Expectations and interpretations during causal learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 568–587. doi:https://doi.org/10.1037/a0022970
- Marcum, Z. A., Sevick, M. A., & Handler, S. M. (2013). Medication non-adherence: A diagnosable and treatable medical condition. Journal of the American Medical Association, 309, 2105–2106. doi: https://doi.org/10.1001/jama.2013.4638
- Marsh, J. K., & Ahn, W.-K. (2009). Spontaneous assimilation of continuous values and temporal information in causal induction. Journal of Experimental Psychology. Learning, Memory, and Cognition, 35, 334–352. doi:https://doi.org/10.1037/a0014929
- Mayrhofer, R., & Waldmann, M. R. (2015). Sufficiency and necessity assumptions in causal structure induction. Cognitive Science, 1–14. doi:https://doi.org/10.1111/cogs.12318
- McAlister, A., Perry, C., & Parcel, G. (2008). How individuals, environments, and health behaviors interact: Social cognitive theory. In K. Glanz, B. Rimer, & K. Viswanth (Eds.), Health behavior and health education: Theory, research, and practice. (4th ed., pp. 169–188). San Francisco, CA: Jossey-Bass.
- Menzies, P. (2004). Difference-making in context. In J. Collins, N. Hall, & L. A. Paul (Eds.), Causation and counterfactuals (pp. 139–180). Cambridge, MA: MIT Press.
- Meyer, D., Leventhal, H., & Gutmann, M. (1985). Common-sense models of illness: The example of hypertension. Health Psychology, 4, 115–135. doi:https://doi.org/10.1037//0278-6133.4.2.115
- Michie, S., van Stralen, M. M., & West, R. (2011). The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implementation Science, 6, 42. doi:https://doi.org/10.1186/1748-5908-6-42
- Morgan, M. (1996). Perceptions and use of anti-hypertensive drugs among cultural groups. In Modern medicine. Lay perspectives and experiences (pp. 95–116). London: UCL
- Murphy, K. P. (2012). Machine learning: A probabilistic perspective. Cambridge, MA: MIT Press.
- Nieuwlaat, R., Wilczynski, N., Navarro, T., Hobson, N., Jeffrey, R., Keepanasseril, A., … Haynes, R. (2014). Interventions for enhancing medication adherence. Cochrane Database of Systematic Reviews. doi:https://doi.org/10.1002/14651858.CD000011.pub4
- Nikles, C. J., Clavarino, A. M., & Del Mar, C. B. (2005). Using n-of-1 trials as a clinical tool to improve prescribing. British Journal of General Practice, 55, 175–180.
- Osterberg, L., & Blaschke, T. (2005). Adherence to medication. The New England Journal of Medicine, 353, 487–497. doi:https://doi.org/10.1056/NEJMra050100
- Pacer, M. D., & Griffiths, T. L. (2011). A rational model of causal induction with continuous causes. In J. Shawe-Taylor, R. S. Zemel, P. L. Bartlett, F. Pereira, & K. Q. Weinberger (Eds.), Proceedings of the 24th International Conference on Neural Information Processing Systems (pp. 2384–2392). La Jolla, CA.
- Phillips, A. L., Leventhal, H., & Leventhal, E. A. (2013). Assessing theoretical predictors of long-term medication adherence: Patients’ treatment-related beliefs, experiential feedback and habit development. Psychology & Health, 28, 1135–1151. doi:https://doi.org/10.1080/08870446.2013.793798
- Pineño, O., & Miller, R. R. (2007). Comparing associative, statistical, and inferential reasoning accounts of human contingency learning. Quarterly Journal of Experimental Psychology (2006), 60, 310–329. doi:https://doi.org/10.1080/17470210601000680
- Pollock, K., & Grime, J. (2000). Strategies for reducing the prescribing of proton pump inhibitors (PPIs): Patient self-regulation of treatment may be an under-exploited resource. Social Science & Medicine, 51, 1827–1839. doi:https://doi.org/10.1016/S0277-9536(00)00114-3
- Pound, P., Britten, N., Morgan, M., Yardley, L., Pope, C., Daker-White, G., & Campbell, R. (2005). Resisting medicines: A synthesis of qualitative studies of medicine taking. Social Science & Medicine (1982), 61, 133–155. doi:https://doi.org/10.1016/j.socscimed.2004.11.063
- Rescorla, R. A., & Wagner, A. R. (1972). A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. In A. H. Black & W. F. Prokasy (Eds.), Classical conditioning II: Current research and theory. (pp. 64–99). New York, NY: Appleton-Century-Crofts.
- Rollnick, S., Miller, W. R., & Butler, C. C. (2008). Motivational interviewing in health care: Helping patients change behavior. New York, NY: Guilford Press.
- Rosenbaum, L. (2015). Beyond belief – How people feel about taking medications for heart disease. The New England Journal of Medicine, 372, 183–187. doi: https://doi.org/10.1056/NEJMms1409015
- Rosenstock, I. M. (1974). The health belief model and preventive health behavior. Health Education & Behavior, 2, 354–386. doi: https://doi.org/10.1177/109019817400200405
- Rottman, B. M. (2016). Searching for the best cause: Roles of mechanism beliefs, autocorrelation, and exploitation. Journal of Experimental Psychology: Learning, Memory and Cognition. doi: https://doi.org/10.1037/xlm0000244
- Rottman, B. M., & Hastie, R. (2014). Reasoning about causal relationships: Inferences on causal networks. Psychological Bulletin, 140, 109–139. doi:https://doi.org/10.1037/a0031903
- Schedlowski, M., Enck, P., Rief, W., & Bingel, U. (2015). Neuro-bio-behavioral mechanisms of placebo and nocebo responses: Implications for clinical trials and clinical practice. Pharmacological Reviews, 67, 697–730. doi:https://doi.org/10.1124/pr.114.009423
- Schork, N. J. (2015). Personalized medicine: Time for one-person trials. Nature, 520, 609–611. doi:https://doi.org/10.1038/520609a
- Shanks, D. R., & Dickinson, A. (1987). Associative accounts of causality judgment. In G. H. Bower (Ed.), The psychology of learning and motivation (Vol. 21, pp. 229–261). San Diego, CA: Academic Press. Retrieved from http://books.google.com/books?hl=en&lr=&id=wACFBB2P-zwC&oi=fnd&pg=PA229&dq=Associative+accounts+of+causality+judgment&ots=VjcZYKpuI3&sig=3zYTPWtk1k6QFMkxn6gkmqkfecI
- Shanks, D. R., Pearson, S., & Dickinson, A. (1989). Temporal contiguity and the judgement of causality by human subjects. The Quarterly Journal of Experimental Psychology, 41B, 139–159. doi:https://doi.org/10.1080/14640748908401189
- Siegel, K., Schrimshaw, E. W., & Dean, L. (1999). Symptom interpretation and medication adherence among late middle-age and older HIV-infected adults. Journal of Health Psychology, 4, 247–257. doi:https://doi.org/10.1177/135910539900400217
- Sloman, S. A., & Lagnado, D. A. (2015). Causality in thought. Annual Review of Psychology, 66, 223–247. doi: https://doi.org/10.1146/annurev-psych-010814-015135
- Svensson, S., Kjellgren, K. I., Ahlner, J., & Saljo, R. (2000). Reasons for adherence with antihypertensive medication. International Journal of Cardiology, 76, 157–163. doi:https://doi.org/10.1016/S0167-5273(00)00374-0
- Tenenbaum, J. B., Kemp, C., Griffiths, T. L., & Goodman, N. D. (2011). How to grow a mind: Statistics, structure, and abstraction. Science (New York, N.Y.), 331, 1279–1285. doi:https://doi.org/10.1126/science.1192788
- Waldmann, M. R. (1996). Knowledge-based causal induction. In D. R. Shanks, K. L. Holyoak, & D. L. Medin (Eds.), The psychology of learning and motivation (Vol. 34: Causal, pp. 47–88). San Diego, CA: Academic Press. Retrieved from http://www.sciencedirect.com/science/article/pii/S0079742108605587
- Waldmann, M. R. (2000). Competition among causes but not effects in predictive and diagnostic learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 53–76. doi:https://doi.org/10.1037//0278-7393.26.1.53
- Zeppetella, G. (1999). How do terminally ill patients at home take their medication? Palliative Medicine, 13, 469–475. doi:https://doi.org/10.1191/026921699675653923