Skip to main content
Log in

A new perspective on proxy report: Investigating implicit processes of understanding through patient–proxy congruence

  • Published:
Quality of Life Research Aims and scope Submit manuscript

All our knowledge begins with the senses, proceeds then to the understanding, and ends with reason.

Immanuel Kant

Abstract

Background

Utilizing proxy report is a common solution to gathering quality-of-life information from people who are not capable of reliably answering questionnaires, such as people with dementia. Proxy report could, however, also provide information about patients’ implicit processes of understanding, which we define as automatic, schema-driven cognitive processes that allow one to have a better understanding of oneself and of one’s body, make oneself known and knowable to members of the social network, and allow one to react proactively in response to cues. We investigated whether implicit processes of understanding explain some of the association between reserve and healthy lifestyle behaviors.

Methods

We operationalized three implicit processes of understanding: (a) psychosocial understanding; (b) insight into physical disability; and (c) somatic awareness. This secondary analysis involved a cohort of multiple sclerosis patients and their caregiver informants (n = 118 pairs). Measures included a neurologist-administered Expanded Disability Status Scale, patient- and informant-completed survey measures, and a heartbeat perception test (interoception). Patient–other congruence assessed implicit processes of understanding: psychosocial understanding (neurocognitive and personality); physical-disability insight; and somatic awareness (interoception).

Results

Effect sizes (ES) for the inter-correlations between the three implicit processes were small. Psychosocial understanding was associated with higher past reserve-building activities (small ES). Psychosocial understanding explained variance in healthy lifestyle behaviors over and above the variance explained by current reserve-building activities (∆R 2 = 0.04; model R 2Adjusted  = 0.18).

Conclusions

Proxy versus patient report can provide information about underlying interpretational processes related to insight. These processes are distinct from reserve, predict health outcomes, and can inform lifestyle-changing interventions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Sprangers, M. A., & Aaronson, N. K. (1992). The role of health care providers and significant others in evaluating the quality of life of patients with chronic disease: a review. Journal of Clinical Epidemiology, 45(7), 743–760.

    Article  CAS  PubMed  Google Scholar 

  2. Varni, J. W., Limbers, C. A., & Burwinkle, T. M. (2007). Parent proxy-report of their children’s health-related quality of life: An analysis of 13,878 parents’ reliability and validity across age subgroups using the PedsQL™ 4.0 Generic Core Scales. Health and Quality of Life Outcomes 5(2).

  3. Sneeuw, K. C., Aaronson, N. K., Sprangers, M. A., Detmar, S. B., Wever, L. D., & Schornagel, J. H. (1998). Comparison of patient and proxy EORTC QLQ-C30 ratings in assessing the quality of life of cancer patients. Journal of Clinical Epidemiology, 51(7), 617–631.

    Article  CAS  PubMed  Google Scholar 

  4. Rothman, M. L., Hedrick, S. C., Bulcroft, K. A., Hickam, D. H., & Rubenstein, L. Z. (1991). The validity of proxy-generated scores as measures of patient health status. Medical Care, 29(2), 115–124.

    Article  CAS  PubMed  Google Scholar 

  5. Funder, D. C., & Dobroth, K. M. (1987). Differences between traits: Properties associated with interjudge agreement. Journal of Personality and Social Psychology, 52(2), 409–418.

    Article  CAS  PubMed  Google Scholar 

  6. Funder, D. C. (2003). Toward a social psychology of person judgments: Implications for person perception accuracy and self-knowledge. In K. D. Williams & W. Von Hippel (Eds.), Social judgments: Implicit and explicit processes (pp. 115–133). New York, NY: Cambridge University Press.

    Google Scholar 

  7. Schwartz, C. E., & Rapkin, B. D. (2004). Reconsidering the psychometrics of quality of life assessment in light of response shift and appraisal. Health and Quality of Life Outcomes, 2, 16.

    Article  PubMed Central  PubMed  Google Scholar 

  8. Brunswick, E. (1956). Perception and the representative design of experiments. Berkeley: University of California Press.

    Google Scholar 

  9. Funder DC. (1995). On the accuracy of personality judgment: A realistic approach. Psychological Review, 102(4), 652–670.

    Article  PubMed  Google Scholar 

  10. Lippa, R. (1998). The nonverbal display and judgment of extraversion, masculinity, femininity, and gender diagnosticity: A lens model approach. Journal of Research in Personality, 32, 80–107.

    Article  Google Scholar 

  11. Funder DC. (2012). Accurate personality judgment. Current Directions in Psychological Science, 21(3), 177–182.

    Article  Google Scholar 

  12. Zaki, J. (2013). Cue integration: A common framework for social cognition and physical perception. Perspectives on Psychological Science, 8(3), 296–312.

    Article  PubMed  Google Scholar 

  13. Hoerger, M., Chapman, B., Ma, Y., Tu, X., Useda, J. D., Hirsch, J., et al. (2011). Agreement between informant and self-reported personality in depressed older adults: What are the roles of medical illness and cognitive function? Psychol Aging, 26(4), 1000–1006.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Schwartz, C. E., Wheeler, H. B., Hammes, B., Basque, N., Edmunds, J., Reed, G., et al. (2002). Early intervention in planning end-of-life care with ambulatory geriatric patients: Results of a pilot trial. Archives of Internal Medicine, 162(14), 1611–1618.

    Article  PubMed  Google Scholar 

  15. Messer, S. B., & McWilliams, N. (2007). Insight in psychodynamic therapy: Theory and assessment. In L. G. Castonguay & C. Hill (Eds.), Insight in psychotherapy (pp. 9–29). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

  16. Rollnick, S., & Miller, W. R. (1995). What is motivational interviewing? Behavioural and Cognitive Psychotherapy, 23(04), 325–334.

    Article  Google Scholar 

  17. Sheeren, P., Gollwitzer, P. M., & Bargh, J. A. (2013). Nonconscious processes and health. Health Psychology, 32(5), 460–473.

    Article  Google Scholar 

  18. Kahneman, D. (2011). Thinking, fast and slow. New York: Farrar, Straus, and Giroux.

    Google Scholar 

  19. Mead, G. H. (1934). Mind, self, and society: From the standpoint of a social behaviorist. London: University of Chicago Press, Ltd.

    Google Scholar 

  20. Vygotsky, L. S. (Ed.). (2004). Interaction between learning and development (4th ed.). New York: Macmillan.

    Google Scholar 

  21. Stern, Y. (2007). Cognitive reserve: Theory and applications. New York: Taylor & Francis.

    Google Scholar 

  22. Legendre, S. A., Stern, R. A., Solomon, D. A., Furman, M. J., & Smith, K. E. (2003). The influence of cognitive reserve on memory following electroconvulsive therapy. The Journal of Neuropsychiatry and Clinical Neurosciences., 15, 333–339.

    Article  PubMed  Google Scholar 

  23. Alchanatis, M., Zias, N., Deligiorgis, N., Amfilochiou, A., Dionellis, G., & Orphanidou, D. (2005). Sleep apnea-related cognitive deficits and intelligence: An implication of cognitive reserve theory. Journal of Sleep Research, 14(1), 69–75.

    Article  PubMed  Google Scholar 

  24. Elkins, J. S., Longstreth, W. T., Manolio, T. A., Newman, A. B., Bhadelia, R. A., & Johnston, S. C. (2006). Education and the cognitive decline associated with MRI-defined brain infarct. Neurology, 67, 435–440.

    Article  CAS  PubMed  Google Scholar 

  25. Ropacki, M., & Elias, J. (2003). Preliminary examination of cognitive reserve theory in closed head injury. Archives of Clinical Neuropsychology, 18, 643–654.

    Article  PubMed  Google Scholar 

  26. Bleecker, M. L., Ford, D. P., Celio, M. A., Vaughan, C. G., & Lindgren, K. N. (2007). Impact of cognitive reserve on the relationship of lead exposure and neurobehavioral performance. Neurology., 69, 470–476.

    Article  CAS  PubMed  Google Scholar 

  27. Ahles, T. A., Saykin, A. J., McDonald, B. C., Li, Y., Furstenberg, C. T., Hanscom, B. S., et al. (2010). Longitudinal assessment of cognitive changes associated with adjuvant treatment for breast cancer: Impact of age and cognitive reserve. Journal of Clinical Oncology, 28(29), 4434–4440.

    Article  PubMed Central  PubMed  Google Scholar 

  28. Schwartz, C. E., Snook, E. M., Quaranto, B. R., Benedict, R. H. B., & Vollmer, T. (2013). Cognitive reserve and patient-reported outcomes. MS Journal, 19(1), 87–105.

    Google Scholar 

  29. Schwartz, C. E., Ayandeh, A., Benedict, R. B. B., Weinstock-Guttman, B., Ramanathan, M., Dwyer, M. G., et al. (Eds.) (2014). How does neurological reserve compare between MS patients and healthy controls? In ECTRIMS, Boston, MA.

  30. Schwartz, C. E., Quaranto, B. R., Healy, B. C., Benedict, R. H. B., & Vollmer, T. (2013). Cognitive reserve and symptom experience in multiple sclerosis: A buffer to disability progression over time? Archives of Physical Medicine and Rehabilitation, 94, 1971–1981.

    Article  PubMed  Google Scholar 

  31. Booth, A. J., Rodgers, J. D., Schwartz, C. E., Quaranto, B. R., Weinstock-Guttman, B., Zivadinov, R., et al. (2013). Active cognitive reserve influences the regional atrophy to cognition link in multiple sclerosis. Journal of the International Neuropsychological Society, 19(10), 1128–1133.

    Article  PubMed  Google Scholar 

  32. NMSS. (2005). Multiple sclerosis information sourcebook. New York, NY: Information Resource Center and Library of the National Multiple Sclerosis Society.

    Google Scholar 

  33. Rammohan, K. W., & Shoemaker, J. (2010). Emerging multiple sclerosis oral therapies. Neurology, 74(Supplement 1), S47–S53.

    Article  PubMed  Google Scholar 

  34. Tremlett, H., Zhao, Y., Rieckmann, P., & Hutchinson, M. (2010). New perspectives in the natural history of multiple sclerosis. Neurology, 74, 2004–2015.

    Article  PubMed  Google Scholar 

  35. Schwartz, C. E., Quaranto, B. R., Healy, B. C., Benedict, R. H., & Vollmer, T. L. (2013). Cognitive reserve and symptom experience in multiple sclerosis: A buffer to disability progression over time? Archives of Physical Medicine and Rehabilitation, 94(10), 1971–1981.

    Article  PubMed  Google Scholar 

  36. Motl, R. W. (2014). Lifestyle physical activity in persons with multiple sclerosis: The new kid on the MS block. Multiple Sclerosis, 20(8), 1025–1029.

    Article  PubMed  Google Scholar 

  37. Chiaravalloti, N. D., DeLuca, J., Moore, N. B., & Ricker, J. H. (2005). Treating learning impairments improves memory performance in multiple sclerosis: A randomized clinical trial. Multiple Sclerosis, 11(1), 58–68.

    Article  PubMed  Google Scholar 

  38. Polman, C. H., Reingold, S. C., Edan, G., Filippi, M., Hartung, H. P., Kappos, L., et al. (2005). Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”. Annals of Neurology, 58(6), 840–846.

    Article  PubMed  Google Scholar 

  39. Kurtzke, J. F. (1983). Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS). Neurology, 33(11), 1444–1452.

    Article  CAS  PubMed  Google Scholar 

  40. Walker, S. N., Sechrist, K. R., & Pender, N. J. (1987). The health-promoting lifestyle profile: Development and psychometric characteristics. Nursing Research, 36(2), 76–81.

    Article  CAS  PubMed  Google Scholar 

  41. Costa, P. T., & McCrae, R. R. (1992). Professional manual for the revised NEO personality inventory and NEO five-factor inventory. Odessa, FL: Psychological Assessment Resources, Inc.

    Google Scholar 

  42. Benedict, R. H. B., Munschauer, F., Linn, R., Miller, C., Murphy, E., Foley, F., et al. (2003). Screening for multiple sclerosis cognitive impairment using a self-administered 15-item questionnaire. Multiple Sclerosis, 9, 95–101.

    Article  CAS  PubMed  Google Scholar 

  43. Bowen, J., Gibbons, L., Gianas, A., & Kraft, G. H. (2001). Self-administered Expanded Disability Status Scale with functional system scores correlates well with a physician-administered test. Multiple Sclerosis Journal, 7(3), 201–206.

    Article  CAS  PubMed  Google Scholar 

  44. Tsakiris, M., Tajadura-Jiménez, A., & Costantini, M. (2011). Just a heartbeat away from one’s body: Interoceptive sensitivity predicts malleability of body-representations. Proceedings of the Royal Society B, 278, 2470–2476.

    Article  PubMed Central  PubMed  Google Scholar 

  45. Arnold, C. (2012). Inside the wrong body. Scientific American Mind May/June, 37–41.

  46. Uttl, B. (2002). North American adult reading test: Age norms, reliability, and validity. Journal of Clinical and Experimental Neuropsychology, 24(8), 1123–1137.

    Article  PubMed  Google Scholar 

  47. Benedict, R. H., Morrow, S. A., Weinstock-Guttman, B., Cookfair, D., & Schretlen, D. J. (2010). Cognitive reserve moderates decline in information processing speed in multiple sclerosis patients. Journal of the International Neuropsychological Society, 16(05), 829–835.

    Article  PubMed  Google Scholar 

  48. Heinemann, A. W., Magasi, S., Bode, R. K., Hammel, J., Whiteneck, G. G., Bogner, J., et al. (2013). Measuring enfranchisement: Importance of and control over participation by people with disabilities. Archives of Physical Medicine and Rehabilitation, 94, 2157–2165.

    Article  PubMed  Google Scholar 

  49. Schwartz, C. E., Wheeler, H. B., Hammes, B., Basque, N., Edmunds, J., Reed, G., et al. (2002). Early intervention in planning end-of-life care with ambulatory geriatric patients: Results of a pilot trial. Archives of Internal Medicine, 162(14), 1611–1618.

    Article  PubMed  Google Scholar 

  50. Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159.

    Article  CAS  PubMed  Google Scholar 

  51. Peterson, N. G., Mumford, M. D., Borman, W. C., Richard, J. P., & Fleishman, E. A. (Eds.). (1999). An occupational information system for the 21st century: The development of O*NET. Washington, DC: American Psychological Association.

    Google Scholar 

  52. Schwartz, C. E., Snook, E., Quaranto, B. R., Benedict, R. B., Rapkin, B. D., & Vollmer, T. (2013). Cognitive reserve and appraisal in multiple sclerosis. Multiple Sclerosis and Related Disorders, 2, 36–44.

    Article  PubMed  Google Scholar 

  53. Schwartz, C. E., Kozora, E., & Zeng, Q. (1996). Towards patient collaboration in cognitive assessment: Specificity, sensitivity, and incremental validity of self-report. Annals of Behavioral Medicine, 18(3), 177–184.

    Article  CAS  PubMed  Google Scholar 

  54. Herbert, B. M., Muth, E. R., Pollatos, O., & Herbert, C. (2012). Interoception across modalities: On the relationship between cardiac awareness and the sensitivity for gastric functions. PLoS ONE, 7(5), e36646.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  55. Ives-Deliperi, V. L., Solms, M., & Meintjes, E. M. (2011). The neural substrates of mindfulness: An fMRI investigation. Social Neuroscience, 6(3), 231–241.

    Article  PubMed  Google Scholar 

  56. Farb, N. A., Segal, Z. V., & Anderson, A. K. (2013). Mindfulness meditation training alters cortical representations of interoceptive attention. Social Cognitive and Affective Neuroscience, 8(1), 15–26.

    Article  PubMed Central  PubMed  Google Scholar 

  57. Terasawa, Y., Fukushima, H., & Umeda, S. (2013). How does interoceptive awareness interact with the subjective experience of emottion? An fMRI study. Human Brain Mapping, 34(3), 598–612.

    PubMed  Google Scholar 

  58. Fukushima, H., Terasawa, Y., & Umeda, S. (2011). Association between interoception and empathy: Evidence from heartbeat-evoked brain potential. International Journal of Psychophysiology, 79(2), 259–265.

    Article  PubMed  Google Scholar 

  59. Benedict, R. H. B., Wahlig, E., Bakshi, R., Fishman, I., Munschauer, F., Zivadinov, R., et al. (2005). Predicting quality of life in multiple sclerosis: Accounting for physical disability, fatigue, cognition, mood disorder, personality, and behavior change. Journal of the Neurological Sciences, 231(1–2), 29–34.

  60. Katkin, E. S., Wiens, S., & Ohman, A. (2001). Nonconscious fear conditioning, visceral perception, and the development of gut feelings. Psychological Science, 12(5), 366–370.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This work was funded in part by a National Multiple Sclerosis Society Pilot Grant to Dr. Benedict (RG4060A3/1) and by the University of Rochester Hendershott Fund. We thank Brian Quaranto for data management services early in the project and are grateful to Dr. Janine Devine and Dr. Teresa Young for helpful comments on an earlier draft of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carolyn E. Schwartz.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (XLS 59 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schwartz, C.E., Ayandeh, A., Rodgers, J.D. et al. A new perspective on proxy report: Investigating implicit processes of understanding through patient–proxy congruence. Qual Life Res 24, 2637–2649 (2015). https://doi.org/10.1007/s11136-015-1017-4

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-015-1017-4

Keywords

Navigation