Abstract
A proxy or informant is an individual who provides reports on behalf of, or about, a study participant. Proxies are essential in studies of older adults for minimizing selection bias and preserving external validity. Important items to consider when designing studies that will use proxies include determining the wording of questions, determining how the proxies will be selected, determining the proxy perspective, and selecting appropriate analytical methods. Future research directions on the use of proxies include the development of new analytical methods. In summary, the use of proxies should be thoughtful, well-documented, reported in results, and—wherever possible—assessed for bias in the populations and domains that are utilized in the studies.
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Abbreviations
- ADL:
-
Activities of Daily Living
- BMI:
-
Body Mass Index
- CCC:
-
Concordance Correlation Coefficient
- FDA:
-
Food and Drug Administration
- ICC:
-
Interclass Correlation Coefficient
- NeuroQOL:
-
Quality-Of-Life in Neurological Disorders
- NHIS:
-
National Health Interview Survey
- NIH:
-
National Institutes of Health
- NPHS:
-
Canadian National Population Health Surveys
- PROMIS:
-
Patient Reported Outcomes MeasureÂment Information System
- PROs:
-
Patient-Reported Outcomes
- US:
-
United States
References
Lynn Snow A, Cook KF, Lin PS et al (2005) Proxies and other external raters: methodological considerations. Health Serv Res 40(5):1676–1693
Pickard AS, Knight SJ (2005) Proxy evaluation of health-related quality of life: a conceptual framework for understanding multiple proxy perspectives. Med Care 43(5):493–499
Neumann PJ, Araki SS, Gutterman EM (2000) The use of proxy respondents in studies of older adults: lessons, challenges, and opportunities. J Am Geriatr Soc 48(12):1646–1654
Long K, Sudha S, Mutran EJ (1998) Elder-proxy agreement concerning the functional status and medical history of the older person: the impact of caregiver burden and depressive symptomatology. J Am Geriatr Soc 46(9):1103–1111
Shields M (2000) Proxy reporting in the National Population Health Survey. Health Rep 12(1):21–39 (Eng); 23–44 (Fre)
Perruccio AV, Badley EM (2004) Proxy reporting and the increasing prevalence of arthritis in Canada. Can J Public Health 95(3):169–173
Elliott MN, Beckett MK, Chong K et al (2008) How do proxy responses and proxy-assisted responses differ from what Medicare beneficiaries might have reported about their health care? Health Serv Res 43(3):833–848
Magaziner J (1992) The use of proxy respondents in health studies of the aged. In: Wallace RB, Woolson RF (eds) The epidemiologic study of the elderly. Oxford University Press, New York, pp 120–129
Kuczmarski MF, Kuczmarski RJ, Najjar M (2001) Effects of age on validity of self-reported height, weight, and body mass index: findings from the Third National Health and Nutrition Examination Survey, 1988–1994. J Am Diet Assoc 101(1):28–34; quiz 35–36
Reither EN, Utz RL (2009) A procedure to correct proxy-reported weight in the National Health Interview Survey, 1976–2002. Popul Health Metr 7:2
Quinn C, Haber MJ, Pan Y (2009) Use of the concordance correlation coefficient when examining agreement in dyadic research. Nurs Res 58(5):368–373
Magaziner J, Simonsick EM, Kashner TM et al (1988) Patient-proxy response comparability on measures of patient health and functional status. J Clin Epidemiol 41(11):1065–1074
Magaziner J, Bassett SS, Hebel JR et al (1996) Use of proxies to measure health and functional status in epidemiologic studies of community-dwelling women aged 65 years and older. Am J Epidemiol 143(3):283–292
Hung SY, Pickard AS, Witt WP et al (2007) Pain and depression in caregivers affected their perception of pain in stroke patients. J Clin Epidemiol 60(9):963–970
Teri L, Wagner AW (1991) Assessment of depression in patients with Alzheimer’s disease: concordance among informants. Psychol Aging 6(2):280–285
Todorov A, Kirchner C (2000) Bias in proxies’ reports of disability: data from the National Health Interview Survey on disability. Am J Public Health 90(8):1248–1253
Kojetin B, Jerstad S (1997) The quality of proxy reports on the consumer expenditure survey. Paper presented at the society of consumer psychology conference, St. Petersburg
Magaziner J, Zimmerman SI, Gruber-Baldini AL et al (1997) Proxy reporting in five areas of functional status. Comparison with self-reports and observations of performance. Am J Epidemiol 146(5):418–428
Muus I, Petzold M, Ringsberg KC (2009) Health-related quality of life after stroke: reliability of proxy responses. Clin Nurs Res 18(2):103–118
Pickard AS, Lin HW, Knight SJ et al (2009) Proxy assessment of health-related quality of life in African American and White respondents with prostate cancer: perspective matters. Med Care 47(2):176–183
Gundy CM, Aaronson NK (2008) The influence of proxy perspective on patient-proxy agreement in the evaluation of health-related quality of life: an empirical study. Med Care 46(2):209–216
Hays RD, Vickrey BG, Hermann BP et al (1995) Agreement between self reports and proxy reports of quality of life in epilepsy patients. Qual Life Res 4(2):159–168
Poulin V, Desrosiers J (2008) Participation after stroke: comparing proxies’ and patients’ perceptions. J Rehabil Med 40(1):28–35
Sneeuw KC, Aaronson NK, de Haan RJ et al (1997) Assessing quality of life after stroke. The value and limitations of proxy ratings. Stroke 28(8):1541–1549
Rothman ML, Hedrick SC, Bulcroft KA et al (1991) The validity of proxy-generated scores as measures of patient health status. Med Care 29(2):115–124
Satariano W (2005) Epidemiology of aging: an ecological approach. Jones and Bartlett Publishers, Sudbury
Ostbye T, Tyas S, McDowell I et al (1997) Reported activities of daily living: agreement between elderly subjects with and without dementia and their caregivers. Age Ageing 26(2):99–106
Administration on Aging and US Department of Health and Human Services (2010) A Profile of Older Americans. US Department of Health and Human Services, Washington, DC
Daltroy LH, Larson MG, Eaton HM et al (1999) Discrepancies between self-reported and observed physical function in the elderly: the influence of response shift and other factors. Soc Sci Med 48(11):1549–1561
Gibbons FX (1999) Social comparison as a mediator of response shift. Soc Sci Med 48(11):1517–1530
Blanchard-Fields F, Beatty C (2005) Age differences in blame attributions: the role of relationship outcome ambiguity and personal identification. J Gerontol B Psychol Sci Soc Sci 60(1):19–26
Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174
Carrasco JL, Jover L, King TS et al (2007) Comparison of concordance correlation coefficient estimating approaches with skewed data. J Biopharm Stat 17(4):673–684
McBride GB (2005) A proposal for strength-of-agreement criteria for Lin’s concordance correlation coefficient. NIWA client report: HAM 2005–062
Shardell M, Hicks GE, Miller RR et al (2010) Pattern-mixture models for analyzing normal outcome data with proxy respondents. Stat Med 29(14):1522–1538
Huang R, Liang Y, Carriere KC (2005) The role of proxy information in missing data analysis. Stat Method Med Res 14(5):457–471
Rubin D (1986) Multiple imputation for non-response in surveys. W.C.L. edn. Wiley, New York
Matza LS, Secnik K, Rentz AM et al (2005) Assessment of health state utilities for attention-deficit/hyperactivity disorder in children using parent proxy report. Qual Life Res 14(3):735–747
U.S. Department of Health and Human Services Food and Drug Administration (2009) Guidance for industry patient-reported outcome measures: use in medical product development to support labeling claims. www.fda.gov Web site. http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM193282.pdf. Accessed 22 June 2011
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Gruber-Baldini, A.L., Shardell, M., Lloyd, K.D., Magaziner, J. (2012). Use of Proxies and Informants. In: Newman, A., Cauley, J. (eds) The Epidemiology of Aging. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5061-6_6
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