Literature DB >> 8561163

Use of proxies to measure health and functional status in epidemiologic studies of community-dwelling women aged 65 years and older.

J Magaziner1, S S Bassett, J R Hebel, A Gruber-Baldini.   

Abstract

Proxy and subject responses to survey questions about chronic conditions, health symptoms, and physical and instrumental functioning were compared to determine the extent of disagreement, the direction of nonrandom discrepancies (i.e., bias), and how disagreement and bias vary by proxy and subject characteristics. Subjects included 538 community-dwelling women aged 65 years and older who participated in the third home interview of a health survey in Baltimore, Maryland, 1986, and a self-designated proxy for each. The authors observed kappa values of > 0.6 (i.e., substantial to almost perfect agreement) for five of nine chronic conditions, no health symptoms, six of seven physical tasks of daily living, and seven of seven instrumental tasks of daily living. With few exceptions, proxies were more likely than subjects to report the presence of a condition, symptom, or functional problem. Variations in agreement and bias were noted by subject and proxy characteristics, with different patterns observed for different measurement areas. When using proxy reports in place of self-reports, it is important to evaluate the impact that using proxies has on study results.

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Year:  1996        PMID: 8561163     DOI: 10.1093/oxfordjournals.aje.a008740

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  40 in total

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Authors:  E M Andresen; V J Vahle; D Lollar
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2.  Pattern-mixture models for analyzing normal outcome data with proxy respondents.

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3.  Driving status and risk of entry into long-term care in older adults.

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4.  Health status in patients with Alzheimer's disease: an investigation of inter-rater agreement.

Authors:  J L Novella; F Boyer; C Jochum; N Jovenin; I Morrone; D Jolly; S Bakchine; F Blanchard
Journal:  Qual Life Res       Date:  2006-06       Impact factor: 4.147

5.  The association of childhood socioeconomic conditions with healthy longevity at the oldest-old ages in China.

Authors:  Zeng Yi; Danan Gu; Kenneth C Land
Journal:  Demography       Date:  2007-08

6.  Missing data: a special challenge in aging research.

Authors:  Susan E Hardy; Heather Allore; Stephanie A Studenski
Journal:  J Am Geriatr Soc       Date:  2009-02-10       Impact factor: 5.562

7.  Ratings of activities of daily living in nursing home residents: comparison of self- and proxy ratings with actual performance and the impact of cognitive status.

Authors:  Kateřina Macháčová; Hana Vaňková; Iva Holmerová; Inna Čábelková; Ladislav Volicer
Journal:  Eur J Ageing       Date:  2018-01-19

8.  Sampling and non-response bias on health-outcomes in surveys of the oldest old.

Authors:  Susanne Kelfve; Mats Thorslund; Carin Lennartsson
Journal:  Eur J Ageing       Date:  2013-03-26

9.  Healthiness of survival and quality of death among oldest old in China using fuzzy sets.

Authors:  Danan Gu; Yi Zeng
Journal:  J Aging Health       Date:  2012-10

10.  Spouse-rated vs self-rated health as predictors of mortality.

Authors:  Liat Ayalon; Kenneth E Covinsky
Journal:  Arch Intern Med       Date:  2009-12-14
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