Differential item functioning (DIF) occurs when items in a measure perform in ways that are different for members of a target group when the different performance is not related to the individual’s overall ability to be assessed. DIF may arise for a number of reasons but is often evaluated in order to ensure that tests and measures are fair evaluations of a group’s abilities. Based on observations when administering the test, we developed the hypothesis that some items on the reading comprehension subtest of the Test of Functional Health Literacy (TOFHLA) might be differentially more difficult for older adults and the elderly due to its use of the cloze response format, in which the participant is required to determine what word, when placed in a blank space in a sentence, will ensure that the sentence is intelligible. Others have suggested that the cloze response format may make demands on verbal fluency, an ability that is reduced with the increasing age. Our analyses show that age-related DIF may present in a nearly one-half of reading comprehension items of the TOFHLA. Results of this measure in older persons should be interpreted cautiously. 1. Introduction Health literacy has assumed increasing importance over the past decade as research has continued to accumulate showing that patients’ levels of it have important relations to their health, use of health services, and health outcomes [1, 2]. Health literacy is defined as “… the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions [3].” It has been related to a number of variables reflecting patients’ ability to obtain and use information to reach their desired state of health, including use of preventive health services, indices of disease control such as glycosylated hemoglobin in diabetes, risk for hospitalization, and even increased likelihood for death [1, 4]. One especially important finding in health literacy research has been the fact that racial and ethnic minorities and the elderly perform at lower levels on several measures of health literacy compared to the general population [5, 6]. One widely cited study, for example, was the National Assessment of Adult Literacy (NAAL) which included a health literacy scale [5]. The study, based on a nationally representative sample, showed that blacks, Hispanics, and the elderly had lower levels of health literacy on the NAAL health literacy scale. Studies with other measures, including the widely used Test of Functional Health Literacy in
References
[1]
N. D. Berkman, S. L. Sheridan, K. E. Donahue, D. J. Halpern, and K. Crotty, “Low health literacy and health outcomes: an updated systematic review,” Annals of Internal Medicine, vol. 155, no. 2, pp. 97–107, 2011.
[2]
N. D. Berkman, D. A. Dewalt, M. P. Pignone et al., “Literacy and health outcomes,” Evidence Report/Technology Assessment, no. 87, pp. 1–8, 2004.
[3]
Department of Health and Human Services, “Healthy people 2020: topics and objectives,” Tech. Rep., Department of Health and Human Services, Washington, DC, USA, http://healthypeople.gov/2020/topicsobjectives2020/pdfs/HP2020objectives.pdf.
[4]
D. A. Dewalt, N. D. Berkman, S. Sheridan, K. N. Lohr, and M. P. Pignone, “Literacy and health outcomes: a systematic review of the literature,” Journal of General Internal Medicine, vol. 19, no. 12, pp. 1228–1239, 2004.
[5]
S. White and S. Dillow, “Key concepts and features of the 2003 National Assessment of Adult Literacy,” Tech. Rep. NCES 2006-471, US Department of Education, National Center for Educational Statistics, Washington, DC, USA, 2005.
[6]
C. Y. Osborn, M. K. Paasche-Orlow, T. C. Davis, and M. S. Wolf, “Health literacy: an overlooked factor in understanding HIV health disparities,” American Journal of Preventive Medicine, vol. 33, no. 5, pp. 374–378, 2007.
[7]
R. M. Parker, D. W. Baker, M. V. Williams, and J. R. Nurss, “The test of functional health literacy in adults: a new instrument for measuring patients' literacy skills,” Journal of General Internal Medicine, vol. 10, no. 10, pp. 537–541, 1995.
[8]
P. L. Ackerman, M. E. Beier, and K. R. Bowen, “Explorations of crystallized intelligence: completion tests, cloze tests, and knowledge,” Learning and Individual Differences, vol. 12, no. 1, pp. 105–121, 2000.
[9]
D. C. Park and A. H. Gutchess, “Cognitive aging and everyday life,” in Aging and Communication, N. A. Charness, D. C. Park, and B. Sabel, Eds., pp. 217–232, Springer, New York, NY, USA, 2000.
[10]
P. W. Murphy, T. C. Davis, S. W. Long, R. H. Jackson, and B. C. Decker, “Rapid Estimate of Adult Literacy in Medicine (REALM): a quick reading test for patients,” Journal of Reading, vol. 37, pp. 124–130, 1993.
[11]
V. F. Reyna, W. L. Nelson, P. K. Han, and N. F. Dieckmann, “How numeracy influences risk comprehension and medical decision making,” Psychological Bulletin, vol. 135, no. 6, pp. 943–973, 2009.
[12]
B. D. Weiss, M. Z. Mays, W. Martz et al., “Quick assessment of literacy in primary care: the newest vital sign,” Annals of Family Medicine, vol. 3, no. 6, pp. 514–522, 2005.
[13]
J. E. Jordan, R. H. Osborne, and R. Buchbinder, “Critical appraisal of health literacy indices revealed variable underlying constructs, narrow content and psychometric weaknesses,” Journal of Clinical Epidemiology, vol. 64, no. 4, pp. 366–379, 2011.
[14]
A. Pleasant, J. McKinney, and R. V. Rikard, “Health literacy measurement: a proposed research agenda,” Journal of Health Communication, vol. 16, 3, pp. 11–21, 2011.
[15]
R. L. Ownby, C. Hertzog, and S. J. Czaja, “Tailored information and automated reminding to improve medication adherence in Spanish- and English-speaking elders treater for memory impairment,” Clinical Gerontologist, vol. 35, no. 3, pp. 221–238, 2012.
[16]
R. L. Ownby, C. Hertzog, and S. J. Czaja, “Relations between cognitive status and medication adherence in patients treated for memory disorders,” Ageing Research, vol. 3, no. 1, 2012.
[17]
P. L. Ackerman, M. E. Beier, and M. O. Boyle, “Individual differences in working memory within a nomological network of cognitive and perceptual speed abilities,” Journal of Experimental Psychology, vol. 131, no. 4, pp. 567–589, 2002.
[18]
S. E. Embretson and S. P. Reise, Item Response Theory for Psychologists, Lawrence Erlbaum, Mahwah, NJ, USA, 2000.
[19]
D. Waldrop-Valverde, D. L. Jones, F. Gould, M. Kumar, and R. L. Ownby, “Neurocognition, health-related reading literacy, and numeracy in medication management for HIV infection,” AIDS Patient Care and STDs, vol. 24, no. 8, pp. 477–484, 2010.
[20]
J. O. Ramsay, TestGraft98 Manual, McGill University, Montreal, Canada, http://www.psych.mcgill.ca/faculty/ramsay/TestGraf.html.
[21]
B. D. Zumbo and P. M. Witarsa, “Nonparametric IRT methodology for detecting DIF in moderate-to-small scale measurment: operating characteristics and a compartions with the Mantel Haenszel,” in Proceedings of the Annual Meeting of the American Educational Research Association, 2004, http://educ.ubc.ca/faculty/zumbo/aera/papers/Zumbo_Witarsa_AERA.pdf.
[22]
D. C. Park, G. Lautenschlager, T. Hedden, N. S. Davidson, A. D. Smith, and P. K. Smith, “Models of visuospatial and verbal memory across the adult life span,” Psychology and Aging, vol. 17, no. 2, pp. 299–320, 2002.
[23]
J. K. Kirk, J. G. Grzywacz, T. A. Arcury et al., “Performance of health literacy tests among older adults with diabetes,” Journal of General Internal Medicine, vol. 27, pp. 534–540, 2012.
[24]
C. L. Shigaki, R. L. Kruse, D. R. Mehr, and B. Ge, “The REALM vs. NVS: a comparison of health literacy measures in patients with diabetes,” Annals of Behavioral Science and Medical Education, vol. 18, pp. 9–13, 2012.
[25]
R. L. Sudore, K. M. Mehta, E. M. Simonsick et al., “Limited literacy in older people and disparities in health and healthcare access,” Journal of the American Geriatrics Society, vol. 54, no. 5, pp. 770–776, 2006.
[26]
D. E. Vance, V. G. Wadley, M. G. Crowe, J. L. Raper, and K. K. Ball, “Cognitive and everyday functioning in older and younger adults with and without HIV,” Clinical Gerontologist, vol. 34, no. 5, pp. 413–426, 2011.
[27]
L. A. Cysique, P. Maruff, M. P. Bain, E. Wright, and B. J. Brew, “HIV and age do not substantially interact in HIV-associated neurocognitive impairment,” Journal of Neuropsychiatry and Clinical Neurosciences, vol. 23, no. 1, pp. 83–89, 2011.
[28]
L. D. Chew, J. M. Griffin, M. R. Partin et al., “Validation of screening questions for limited health literacy in a large VA outpatient population,” Journal of General Internal Medicine, vol. 23, no. 5, pp. 561–566, 2008.
[29]
J. Haun, S. Luther, V. Dodd, and P. Donaldson, “Measurement variation across health literacy assessments: implications for assessment selection in research and practice,” Journal of Community Health, vol. 17, supplement 3, pp. 141–159, 2012.