Journal of Behavioral Medicine

, Volume 40, Issue 2, pp 373–376 | Cite as

Choose (and use) your tools wisely: “Validated” measures and advanced analyses can provide invalid evidence for/against a theory

  • L. Alison Phillips
  • Howard Leventhal
  • Edith A. Burns
Letter to the Editor

Keywords

Illness Perception Treatment Behavior Illness Representation Ascot Care Seek 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Compliance with ethical standards

Conflict of interest

L. Alison Phillips, Howard Leventhal, and Edith A. Burns declare that they have no conflict of interest.

References

  1. Abubakari, A.-R., Jones, M. C., Lauder, W., Kirk, A., Anderson, J., & Devendra, D. (2011). Associations between knowledge, illness perceptions, self-management and metabolic control of type 2 diabetes among African and European-origin patients. Journal of Nursing and Healthcare of Chronic Illness, 3, 245–256. doi: 10.1111/j.1752-9824.2011.01098.x CrossRefGoogle Scholar
  2. 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: 10.1080/17437199.2013.820986 CrossRefPubMedGoogle Scholar
  3. Cameron, L., Leventhal, E. A., & Leventhal, H. (1993). Symptom representations and affect as determinants of care seeking in a community-dwelling, adult sample population. Health Psychology, 12, 171–179. doi: 10.1037/0278-6133.12.3.171 CrossRefPubMedGoogle Scholar
  4. Chen, S.-L., Tsai, J.-C., & Lee, W.-L. (2009). The impact of illness perception on adherence to therapeutic regimens of patients with hypertension in Taiwan. Journal of Clinical Nursing, 18, 2234–2244. doi: 10.1111/j.1365-2702.2008.02706.x CrossRefPubMedGoogle Scholar
  5. Chilcot, J., Wellsted, D., & Farrington, K. (2010). Illness representations are associated with fluid nonadherence among hemodialysis patients. Journal of Psychosomatic Research, 68, 203–212. doi: 10.1016/j.jpsychores.2009.08.010 CrossRefPubMedGoogle Scholar
  6. Danner, U. N., Aarts, H., & de Vries, N. K. (2008). Habit vs. intention in the prediction of future behavior: The role of frequency, context stability, and mental accessibility of past behavior. British Journal of Social Psychology, 47, 245–265.CrossRefPubMedGoogle Scholar
  7. DiMatteo, M. R., Haskard, K. B., & Williams, S. L. (2007). Health beliefs, disease severity, and patient adherence: A meta-analysis. Medical Care, 45, 521–528. doi: 10.1097/MLR.0b013e318032937e CrossRefPubMedGoogle Scholar
  8. Doyle, F., & Mullan, B. (2016). Does the CSM really provide a consistent framework for understanding self-management? Journal of Behavioral Medicine. doi: 10.1007/s10865-016-9806-y Google Scholar
  9. Figueiras, M., Marcelino, D. S., Claudino, A., Cortes, M. A., Maroco, J., & Weinman, J. (2010). Patients’ illness schemata of hypertension: The role of beliefs for the choice of treatment. Psychology & Health, 25, 507–517. doi: 10.1080/08870440802578961 CrossRefGoogle Scholar
  10. Garber, M. C., Nau, D., Erickson, S. R., Aikens, J. E., & Lawrence, J. B. (2004). The concordance of self-report with other measures of medication adherence: A summary of the literature. Medical Care, 42, 649–652.CrossRefPubMedGoogle Scholar
  11. Halm, E. A., Mora, P., & Leventhal, H. (2006). No symptoms, no asthma: The acute episodic disease belief is associated with poor self-management among inner-city adults with persistent asthma. Chest, 129, 573–580.CrossRefPubMedGoogle Scholar
  12. 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,. doi: 10.1371/journal.pone.0080633 Google Scholar
  13. Horne, R., Clatworthy, J., Hankins, M., & Investigators, A. S. C. O. T. (2010). High adherence and concordance within a clinical trial of antihypertensives. Chronic Illness, 6, 243–251. doi: 10.1177/1742395310369018 CrossRefPubMedGoogle Scholar
  14. Hunter, J. E., & Schmidt, F. L. (2004). Methods of meta-analysis: Correcting error and bias in research findings (2nd ed.). Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
  15. Leventhal, H., Phillips, L. A., & Burns, E. A. (2016). The Common-Sense Model of Self-Regulation (CSM): A dynamic framework for understanding illness self-management. Journal of Behavioral Medicine. doi: 10.1007/s10865-016-9782-2 Google Scholar
  16. Mann, D. M., Ponieman, D., Leventhal, H., & Halm, E. A. (2009). Predictors of adherence to diabetes medications: The role of disease and medication beliefs. Journal of Behavioral Medicine, 32, 278–284.CrossRefPubMedGoogle Scholar
  17. Phillips, L. A., Cohen, J., Burns, E. A., Abrams, J., & Renninger, S. (2016). Self-management of chronic illness: The role of ‘habit’ versus reflective factors in exercise and medication adherence. Journal of Behavioral Medicine,. doi: 10.1007/s10865-016-9732-z Google Scholar
  18. Phillips, L. A., Leventhal, H., & Leventhal, E. A. (2013). Assessing theoretical predictors of long-term medication adherence: Patients’ treatment-related beliefs, experiential feedback, and habit development. Psychology and Health, 28, 1135–1151. doi: 10.1080/08870446.2013.793798 CrossRefGoogle Scholar
  19. Prentice, D. A., & Miller, D. T. (1992). When small effects are impressive. Psychological Bulletin, 112, 160–164. doi: 10.1037/0033-2909.112.1.160 CrossRefGoogle Scholar
  20. Rees, G., Lamoureux, E. L., Xie, J., Sturrock, B. A., & Fenwick, E. F. (2013). Using Rasch analysis to evaluate the validity of the diabetes-specific version of the Illness Perception Questionnaire-Revised. Journal of Health Psychology, 20, 1340–1356. doi: 10.1177/1359105313511840 CrossRefPubMedGoogle Scholar
  21. Ross, S., Walker, A., & MacLeod, M. J. (2004). Patient compliance in hypertension: Role of illness perceptions and treatment beliefs. Journal of Human Hypertension, 18, 607–613. doi: 10.1038/sj.jhh.1001721 CrossRefPubMedGoogle Scholar
  22. Sackett, D. L. (1979). Bias in analytic research. Journal of Chronic Disease, 32, 51–63.CrossRefGoogle Scholar
  23. Schmidt, F., & Hunter, E. (2015). Methods of meta-analysis: Correcting error and bias in research findings (3rd ed.). Los Angeles, CA: Sage.CrossRefGoogle Scholar
  24. Sirey, J. A., Bruce, M. L., Perlick, D. A., Friedman, S. J., & Meyers, B. S. (2001). Perceived stigma and patient-rated severity of illness as predictors of antidepressant drug adherence. Psychiatric Services, 52, 1615–1620.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of PsychologyIowa State UniversityAmesUSA
  2. 2.Department of Psychology, Institute for HealthRutgers UniversityNew BrunswickUSA
  3. 3.Division of GeriatricsMedical College of WisconsinMilwaukeeUSA

Personalised recommendations