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RESEARCH AND PRACTICE |
Alia A. Al-Tayyib, Susan M. Rogers, James N. Gribble, Maria Villarroel, and Charles F. Turner are with the Program in Health and Behavior Measurement, Research Triangle Institute, Washington, DC. Charles F. Turner is also with the City University of New York, Queens College and Graduate Center, Flushing, NY.
Correspondence: Requests for reprints should be sent to Alia A. Al-Tayyib, Research Triangle Institute, 1615 M St, NW, Suite 740, Washington, DC 20036 (e-mail: alia{at}rti.org).
| INTRODUCTION |
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This brief report examines the relationship between assessed levels of medical literacy, respondent characteristics, and the quality of measurements made in the 1997/98 Baltimore Sexually Transmitted Disease (STD) and Behavior Survey.
| METHODS |
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Rapid Estimate of Adult Literacy in Medicine
Following completion of the questionnaire, interviewers administered the Rapid Estimate of Adult Literacy in Medicine (REALM) to all participants. The REALM was designed for use in public health settings to identify patients who may need special attention with health care instructions because of low literacy.3 The REALM measures a respondents ability to read and correctly pronounce 66 common medical terms. The total number of correctly pronounced words measures each respondents REALM score. Scores are collapsed into 4 reading grade range estimates: grade 3 and below, grades 4 through 6, grades 7 through 8, and grade 9 and above.
Paper Self-Administered Questionnaires
The first SAQ contained 10 questions about alcohol and illicit drug use. Respondents who indicated that they had used alcohol were asked 4 CAGE scale questions on alcohol-related problems.4 Respondents indicating that they had never used alcohol were instructed to skip to questions that assessed illicit drug use. The second SAQ contained 12 questions about same-sex attraction and sexual contact, masturbation, forced sexual intercourse, and paid sexual intercourse.5,6 This form also contained skip patterns based on whether or not the respondent had engaged in a particular behavior.
Types of Errors
We identified 3 types of errors made in completing the SAQs. Skip errors included instances in which the respondent did not properly follow the printed skip instructions. Although this type of error may indicate low forms literacy or simple inattention to instructions, it does not suggest that the respondent was unable to comprehend the questions. A second category, logically inconsistent answers, suggests that the respondent was not reading the question and was merely circling an answer at random, or that the respondent did not understand the question. The final category, other errors, included circling more than 1 answer, writing in answers not offered as responses, or writing that the question did not apply.
| RESULTS |
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| CONCLUSIONS |
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Our data suggest that, although persons with low medical literacy will provide answers on paper self-administered forms, they may respond to questions that they do not completely understand. For example, we found that logically inconsistent answers on the alcohol SAQ were 8 times more likely in the lowest than in the highest medical literacy group (error rate: 7.1% vs 0.8%). A similar pattern was found for the same-sex sexual intercourse and masturbation SAQ. Logically inconsistent answers were found 2.5 times more often with respondents at the level of grade 3 and below (17.9%) than with respondents at the level of grade 9 or higher (6.5%). Measurements made with SAQs are also vulnerable to errors when respondents do not follow questionnaire skip instructions. These error rates increase with lower literacy. Nonetheless, we found that error rates on skip instructions were quite high even among persons whose REALM-assessed literacy tested at the grade 9 and above range (25% to 40%).
These findings provide important evidence for the potential benefits of audio computer-assisted self-interviewing technologies.812 ACASI does not require respondent literacy; the respondent listens to the recorded questions and the defined response categories through headphones. ACASI eliminates the requirement that respondents be forms literate by automatically skipping respondents to the next question that is appropriate for them. The trend in survey research to adopt computer-based technologies offers promise for reducing the errors associated with low literacy, thereby improving the quality of survey measurements.
| Acknowledgments |
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The authors would like to thank the members of the 1997/98 Baltimore STD and Behavior Survey team for their contributions to the study and the survey operations staff of the Research Triangle Institute for their fielding of the survey. We would also like to thank Dr. Terry Davis and her colleagues for the use of their literacy assessment instrument.
Human Participant Protection
The protocol for this study was approved by institutional review boards at the Research Triangle Institute (RTI) and the Johns Hopkins Medical Institutions (JHMIs).
| Footnotes |
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A. A. Al-Tayyib analyzed the data and wrote the brief. S. M. Rogers supervised data analysis and contributed to the writing. J. N. Gribble supervised the initial conception of the data analysis plan. M. Villarroel duplicated the data analysis for quality control purposes. C. F. Turner conceived and designed the 1997/98 Baltimore Sexually Transmitted Diseases and Behavior Survey and contributed to the writing of the brief. All authors approved the final version of this brief.
Accepted for publication November 12, 2001.
| References |
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2. Turner, CF, Gribble JN, Al-Tayyib AA, Chromy JR. Falsification in epidemiologic surveys: detection and remediation. Paper presented at ORI-NIH-AAAS-AAMC-NSF Conference on Research Integrity, Bethesda, Md, November 1820, 2000.
3. Davis TC, Long SW, Jackson RH, et al. Rapid estimate of adult literacy in medicine: a shortened screening instrument. Fam Med. 1993;25:391395.[Medline]
4. Mayfield D, McLeod G, Hall P. The CAGE questionnaire: validation of a new alcoholism screening instrument. Am J Psychiatry. 1974;131:11211123.
5. Laumann EO, Gagnon JH, Michael RT, Michaels S. The Social Organization of Sexuality. Chicago, Ill: University of Chicago Press; 1994.
6. Johnson AM, Wadsworth J, Wellings K, Field J. Sexual Attitudes and Lifestyles. Oxford, England: Blackwell Scientific Publications; 1994.
7. US Bureau of the Census, Population Division, Population Estimates Program. Population Estimates for Cities With Populations of 100,000 and Greater; July 1, 1998. Washington, DC: US Bureau of the Census; 1999. Publication series SU-981.
8. Turner CF, Ku L, Rogers SM, Lindberg LD, Pleck JH, Sonenstein FL. Adolescent sexual behavior, drug use, and violence: increased reporting with computer survey technology. Science. 1998;280:867873.
9. OReilly JM, Hubbard ML, Lessler JT, Biemer PP, Turner CF. Audio and video computer-assisted selfinterviewing: preliminary tests of new technologies for data collection. Journal of Official Statistics. 1994;10:197214.
10. Turner CF, Forsyth BH, OReilly JM, et al. Automated self-interviewing and the survey measurement of sensitive behaviors. In: Couper MP, Baker RP, Bethlehem J, et al, eds. Computer-Assisted Survey Information Collection. New York, NY: John Wiley & Sons, Inc; 1998: 455473.
11. Rogers SM, Gribble JN, Turner CF, Miller HG. Entretiens Autoadministré sur ordinateur et mesure des comportements sensibles [Computerized selfinterviewing and the measurement of sensitive behaviors]. Population. 1999;54(2):231250.
12. Gribble JN, Miller HG, Rogers SM, Turner CF. Interview mode and measurement of sexual behaviors: methodological issues. J Sex Res. 1999;36:1624.
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