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The SRA Symposium - College of Medicine

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For subjects experiencing research-related injuries or “dignitary harm,” could your institution<br />

legally justify sponsors and researchers who write and IRBs that approve consent forms that do<br />

not meet federal or institutional guidelines? Could your institution justify in a deposition or in<br />

court the extensive use <strong>of</strong> consent forms at a grade 12-14 reading level—4 to 8 grades higher than<br />

recommended? If not, is your institution willing to deal with media stories such as “University<br />

approves unreadable research” or “Hospital violates own ethics rules?” What impact would these<br />

stories have on the reputation <strong>of</strong> your institution and researchers, and their ability to recruit future<br />

research subjects?<br />

Informed consent communication problems<br />

Both proponents <strong>of</strong> readability formulas (such as Klare) and opponents (such as Redish, Shriver)<br />

agree on some <strong>of</strong> the most common problems found with readability formulas, the writers who<br />

use and misuse them, and reader understanding. Federal agencies and IRBs that uncritically<br />

recommend readability formulas seem completely unfamiliar with the extensive research done on<br />

the use and misuse us <strong>of</strong> these formulas (e.g., Davision & Green, 1988; Zakaluk & Samuels, 1988;<br />

Chall & Dale, 1995). Although consent form researchers <strong>of</strong>ten cite other studies on informed consent<br />

readability, they almost never cite research on the strengths and weaknesses <strong>of</strong> readability formulas<br />

themselves. Such omissions suggest that researchers, journal editors, and peer reviewers are<br />

unaware <strong>of</strong> readability formula research issues. Table #1 summarizes major readability problems<br />

in the context <strong>of</strong> informed consent, addressing issues that are not covered in regulatory agency or<br />

IRB readability guidelines.<br />

Table #1: Summary <strong>of</strong> informed consent problems<br />

Readability formula problems Consent form writer problems Consent form reader problems<br />

Formula relevance Consent form layout/design Adolescent vs adult readers<br />

Validity and reliability Not cleaning files Text comprehension<br />

Readability estimates vs consent<br />

form content<br />

Papers<br />

Misusing readability formulas Reader testing vs consent form<br />

testing<br />

Readability formula problems:<br />

Formula relevance: Are readability formulas relevant for clinical trial consent forms? Most formulas<br />

were designed for textbook selection in elementary and secondary schools to ensure<br />

that students weren’t expected to read books that were too hard to understand. Such readability<br />

formulas are about 30-60 years old; Rudolf Flesch’s Reading Ease formula dates from 1948, while<br />

the revised 1995 Dale-Chall Formula is based on data collected in the late 1970s. Because reading<br />

level estimates are based on how reading skills from 50 years ago, it’s not at all clear if an 8th grade<br />

reading level in 1948 (original Dale-Chall) or 1968 (Gunning Fog Index) or 1975 (Flesch-Kincaid)<br />

is easier, the same, or harder than an 8th grade level in 2005.<br />

Validity and reliability: Some formulas, such as the Flesch-Kincaid, were developed for technical<br />

materials, but no readability formulas have been developed specifically for informed consent<br />

forms. Thus, there is no data on the validity and reliability <strong>of</strong> readability formulas for informed<br />

consent forms in adult population.<br />

Reliability usually refers to an instrument’s ability to give consistent results over time. But in the<br />

context <strong>of</strong> readability formula s<strong>of</strong>tware, reliability means the ability <strong>of</strong> different readability s<strong>of</strong>tware<br />

programs to give the same result for the same formula. Readability formulas generally rely on<br />

counts <strong>of</strong> the number <strong>of</strong> words in a sentence and the number <strong>of</strong> syllables per word. While that’s an<br />

easy calculations for researchers to do “by hand,” it’s much harder to write s<strong>of</strong>tware programs to<br />

accurately count words and syllables. Some programmers estimate syllables based on the number<br />

2005 <strong>Symposium</strong> Proceedings Book 117

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