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Bias in proxies' reports of disability: Data from the National Health Interview Survey on disability

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  • Todorov, A.
  • Kirchner, C.

Abstract

Objectives. These studies examined whether differences between self- reports and proxy reports of disabilities reflect proxy response biases or only respon-debt selection factors. Methods. The data Were from the National Health Interview Survey on Disability (1994-1995, phases 1 and 2). In study 1, reports of disabilities were regressed on respondent status, self vs proxy, and demographic factors. In study 2, the ratios of the proportions of self-reports and proxy reports of disabilities were regressed on independent lay ratings of observability of these disabilities and their 'finteractional' nature. In study 3, the disability reports for people who differed in respondent status in one phase but self-reported the same disability in the Other phase were compared. Results. In study 1, proxies under reported disabilities for people aged 18 to 64 years but overreported for people 65 years or older. In study 2, the observability and interactional scores accounted for more than 60% of the variance of self and proxy differences in an inverse relationship. Study 3 confirmed the basic findings of study 1. Conclusions. Use of proxies in representative surveys on disability introduces systematic biases, affecting national disability estimates.

Suggested Citation

  • Todorov, A. & Kirchner, C., 2000. "Bias in proxies' reports of disability: Data from the National Health Interview Survey on disability," American Journal of Public Health, American Public Health Association, vol. 90(8), pages 1248-1253.
  • Handle: RePEc:aph:ajpbhl:2000:90:8:1248-1253_4
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    Cited by:

    1. Anastasia A. Lam & Katherine Keenan & Genevieve Cezard & Hill Kulu & Mikko Myrskylä, 2023. "Inequalities in disability-free and disabling multimorbid life expectancy in Costa Rica, Mexico, and the United States," MPIDR Working Papers WP-2023-002, Max Planck Institute for Demographic Research, Rostock, Germany.
    2. Bérengère Davin & Xavier Joutard & Alain Paraponaris, 2019. ""If You Were Me": Proxy Respondents' Biases in Population Health Surveys," Working Papers halshs-02036434, HAL.
    3. Michaël Schwarzinger & Fabrice Carrat & Stéphane Luchini, 2009. ""If you have the flu symptoms, your asymptomatic spouse may better answer the willingness-to-pay question". Evidence from a double-bounded dichotomous choice model with heterogeneous anchori," Post-Print inserm-00636179, HAL.
    4. Davin, Bérengère & Paraponaris, Alain & Verger, Pierre, 2009. "Socioeconomic determinants of the need for personal assistance reported by community-dwelling elderly: Empirical evidence from a French national health survey," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(1), pages 138-146, January.
    5. Islay Mactaggart & Ammar Hasan Bek & Lena Morgon Banks & Tess Bright & Carlos Dionicio & Shaffa Hameed & Shailes Neupane & GVS Murthy & Ahmed Orucu & Joseph Oye & Jonathan Naber & Tom Shakespeare & An, 2021. "Interrogating and Reflecting on Disability Prevalence Data Collected Using the Washington Group Tools: Results from Population-Based Surveys in Cameroon, Guatemala, India, Maldives, Nepal, Turkey and ," IJERPH, MDPI, vol. 18(17), pages 1-14, August.
    6. Takuya Maruyama & Kenta Hosotani & Tomoki Kawano, 2021. "Inferring proxy response in household travel surveys with unknown completer using a group-based choice model," Transportation, Springer, vol. 48(1), pages 283-302, February.
    7. Isabel Benítez Baena & Jose Padilla García & Yfke Ongena, 2012. "Evaluation of the convergence between “self-reporters” and “proxies” in a disability questionnaire by means of behaviour coding method," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(4), pages 1311-1322, June.
    8. Schwarzinger, Michaël & Carrat, Fabrice & Luchini, Stéphane, 2009. ""If you have the flu symptoms, your asymptomatic spouse may better answer the willingness-to-pay question": Evidence from a double-bounded dichotomous choice model with heterogeneous anchori," Journal of Health Economics, Elsevier, vol. 28(4), pages 873-884, July.
    9. Agree Emily M. & Wolf Douglas A., 2018. "Disability Measurement in the Health and Retirement Study," Forum for Health Economics & Policy, De Gruyter, vol. 21(1), pages 1-14, June.
    10. Holzberg Jessica & Ellis Renee & Virgile Matt & Kaplan Robin & Edgar Jennifer, 2019. "Can They and Will They? Exploring Proxy Response of Sexual Orientation and Gender Identity in the Current Population Survey," Journal of Official Statistics, Sciendo, vol. 35(4), pages 885-911, December.

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