Although hypotheses about the link between literacy and health outcomes were published in the 1980s,1  the potential consequences of limited literacy in U.S. health care settings was brought to the attention of the larger clinical and health policy communities by a study published in 1995. In this landmark study, researchers revealed dramatic statistics: up to two-thirds of patients seen in public hospitals in the United States were unable to comprehend key health information such as how to take a medication or schedule a follow-up appointment.2  Hundreds of studies have since explored how patients' ability to read and comprehend the written information encountered in health care settings is independently associated with a variety of poorer health outcomes.

Because low literacy is more common among vulnerable populations (racial and ethnic minorities, elderly people, patients with chronic conditions, and those seeking care in public systems), it likely contributes to the disproportionate burden of disease-related problems among disadvantaged and vulnerable populations.3  In fact, when literacy is considered, the role of race in health disparities decreases dramatically.4,5 

With an estimated 40% of adults in the United States having less-than-functional literacy,6  addressing health literacy has moved to the forefront of several policy agendas aimed at improving health care quality and outcomes.

Despite the growing literature on the topic, definitions of what constitutes literacy in health care settings continue to be developed and refined. One of the most commonly used definitions of literacy is that put forth by the U.S. Department of Education, which defines functional literacy as “the ability to use reading, writing, and computational skills at a level adequate to meet the needs of everyday situations.”7 

But it is commonly recognized that literacy in health care settings, also called health literacy, encompasses many unique skills. Being functionally literate in health care settings not only requires an ability to read and understand terminology unique to health care settings, but also to do so during what may be emotionally charged or physically challenging circumstances. Health care encounters often include complex instructions for taking medications, undergoing medical tests, and obtaining insurance reimbursement. The more context-specific skill set required to function in health care settings is reflected in the widely accepted definition of health literacy adopted by the Institute of Medicine (IOM): “the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions.”8 

Building on its basic definition of health literacy, the IOM examines health literacy as capability in four primary domains: cultural and conceptual knowledge, speaking and listening skills, writing and reading skills, and numeracy.8  These domains are reflected in studies that have expanded on early work, largely based on patients' reading ability, to document that numeracy (i.e., the ability to accurately manipulate numerical information) and listening skills are associated with literacy skills, as well as with engagement in health behaviors and disease-related outcomes.914 

Achieving optimal health outcomes for many conditions requires that patients are not only able to read and understand written and numerical information, but also able to take appropriate action. Researchers continue to elucidate concepts related to health literacy. One such example of how literacy can be further refined is by distinguishing between functional literacy skills (those needed to function effectively in everyday situations), interactive literacy skills (those needed to actively participate in everyday activities), and critical literacy skills (those needed to critically analyze information and exert control over life events).15,16 

This is particularly relevant to people with diabetes and their health care providers. For patients, successful diabetes self-management requires actively participating in a wide range of complex tasks that go beyond accurately interpreting written information to relaying the integration of a number of behaviors into the context of daily life. Recognizing that skills necessary to successfully manage diabetes draw on the more complex interactive and critical types of literacy suggests that health literacy in diabetes may be better served by adopting the definition of health literacy offered by the World Health Organization (WHO) and researcher Donald Nutbeam, which states that “health literacy represents the cognitive and social skills which determine the motivation and ability of individuals to gain access to, understand, and use information in ways which promote and maintain good health.”17 

We are only at the beginning of associating health literacy with the wide range of psychosocial and emotional factors implied by the WHO definition of health literacy. However, this line of reasoning is generally supported by our emerging understanding of how health literacy affects health outcomes for diseases such as diabetes, which require a high degree of self-management. Findings suggesting that health outcomes are influenced by the literacy of family members,18  that health literacy influences family support,19  and that literacy is associated with social isolation are just a few examples of the complex relationships currently being explored.20 

In response, expert clinical and health literacy researchers have recently called for the health literacy community to adopt an even more comprehensive definition of health literacy, which not only takes into account patients' reading and numeracy skills, but also considers evidence of how a broad range of cognitive and psychosocial factors—such as confidence, engagement, problem-solving, and social support—are associated with patients' ability to successfully engage in self-management behaviors. These experts propose that referring to health literacy as “health-learning capacity” may help stakeholders recognize the ever-broadening factors contributing to patients' ability to act appropriately on health information and inspire researchers to draw on work from the diverse fields of education, cognitive science, and psychology to create increasingly informed, comprehensive, and innovative clinical interventions.21 

According to the American Diabetes Association (ADA), assessing patients' literacy is instrumental in developing a comprehensive plan of care and providing self-management education.22  However, because of its inherent complexity, there is currently no single measure that reflects the many constructs related to health literacy; measures are continually being developed and refined.

Although providing a comprehensive list of instruments assessing health literacy is beyond the scope of this article, one can gain a general understanding of commonly used health literacy assessments by placing them into three primary categories that measure patients' ability to 1) read written words, 2) comprehend prose, and 3) comprehend and conduct numerical calculations. Many instruments incorporate one or more of these skills, measure skills particular to diabetes management, and are available in languages other than English. Instruments range from lengthy, comprehensive assessments that take close to 1 hour to complete to short, 1-item screeners (Table 1).

The choice of assessment is largely determined by its appropriateness for a population (e.g., availability in Spanish or diabetes-specific), utility (e.g., whether the assessment will be used for a research study or during routine care), information germane to the clinical setting or research question (e.g., the ability to calculate carbohydrates), and/or feasibility (e.g., the amount of time needed to complete the assessment).

Two examples of instruments that assess reading ability are the Rapid Estimate of Adult Literacy in Medicine (REALM)9,23,24  and the diabetes-specific Literacy Assessment for Diabetes (LAD).25  The REALM is a 66-word screening instrument that quickly identifies patients who are unable to read and pronounce commonly used medical terms. Words pronounced correctly from the list are summed, giving a score range from 0 to 66. Although REALM does not assess reading comprehension, it has excellent concurrent validity with other literacy assessments (0.88–0.97) and high test-retest reliability (0.99). REALM has been successfully used in a wide variety of patient populations and takes approximately 3 minutes to administer and score. A shortened version of the REALM, the Rapid Assessment of Adult Literacy in Medicine–Revised (REALM-R), is also available and consists of only eight items.26  LAD is a diabetes-specific word recognition test that has three graded word lists ordered by difficulty (fourth-, sixth-, and sixteenth-grade reading levels) for the patient. It measures patients' ability to pronounce terms related to health care and can be administered in 3 minutes or less.

The well-established Test of Functional Health Literacy in Adults (TOFHLA),27  which was used in the landmark 1995 study documenting the prevalence of health literacy, continues as a standard against which other health literacy assessments are measured. TOFHLA consists of reading passages related to common health care scenarios and multiple choice questions that assess reading comprehension (50 items) and numeracy (17 items). Because TOFHLA takes ∼ 20–25 minutes to administer, the Short Test of Functional Health Literacy in Adults (S-TOFHLA)28  was developed. S-TOFHLA, which uses 36 items from the reading comprehension subsection of the full test, takes only 7 minutes to administer. S-TOFHLA retains much of the validity and reliability of the full version (e.g., it is highly correlated with tests used in general education). It is scored on a scale of 0–36, with scores of 23–36 indicating adequate literacy, 17–22 indicating marginal literacy, and 0–16 indicating inadequate literacy.

Table 1.

Health Literacy Assessment Tools

 Health Literacy Assessment Tools
 Health Literacy Assessment Tools

Because diabetes self-management often requires that patients accurately conduct numerical calculations, health literacy assessments that are growing in popularity among diabetes researchers and clinicians are those that assess not only patients' ability to comprehend written information, but also their ability to accurately manipulate numerical data. One such assessment, adopted from the field of education, is the Wide Range Achievement Test (WRAT).29  WRAT measures arithmetic computation in addition to reading and spelling and is available in two levels (Level I for children ages 5–11 years and Level II for individuals ages 12–64 years). Because the full assessment takes ∼ 30 minutes to complete, many health care researchers use only the reading recognition subtest, which takes ∼ 5 minutes to administer.30 

A new assessment that is specifically tailored to the skills needed for diabetes self-management is the Diabetes Numeracy Test (DNT). The DNT is associated with other measures of literacy and math skills, as well as with diabetes knowledge. Because the full DNT takes an average of 33 minutes to complete, a shortened version that takes ∼ 10–15 minutes—the DNT15—is also available.31 

Finally, for those who face time limitations or who may not be providing in-depth diabetes education, very short screening instruments are available. The Newest Vital Sign (NVS), which consists of a nutrition label with six accompanying questions to assess literacy, takes ∼ 3 minutes to administer.32  Even shorter is the Single-Item Literacy Screener (SILS),33,34  which is designed to quickly identify patients who need help with reading health-related information. The instrument asks one question: “How often do you need to have someone help you when you read instructions, pamphlets, or other written material from your doctor or pharmacy?” with possible responses ranging from 1 (never) to 5 (always). To help address traditional underreporting of difficulties by patients, the authors identified the cut-off point as 2 to capture more who may be in need of assistance (i.e., to increase the tool's sensitivity). Although data suggest that these instruments may not have psychometric properties similar to other instruments developed for research purposes,35  they may be much more feasible to implement during routine care.

There are many barriers to formally integrating health literacy assessments into clinical encounters, including time limitations and concerns about embarrassing patients. But a great deal of evidence suggests that the alternative—identifying patients with limited health literacy by using demographic risk factors alone—is ineffective. Self-reported health literacy is inaccurate, and, although variables such as years of education are associated with health literacy, they are not perfectly correlated and do not provide enough information to guide care.

That said, missed appointments, not following through on discussed plans, lack of questions, and inability to recall prescriptions are important clues that can be gleaned from routine clinical encounters and may indicate that a patient is having difficulty understanding health-related information. Experts also suggest that informal assessment may be accomplished by simply asking patients to read a prescription label.36  But incorporating technologies such as check-in kiosks and tablet PCs may help remove barriers to more formally assessing patients' health literacy during routine clinical encounters.

Because of the high degree of shame associated with illiteracy, it is a subject that needs to be approached with sensitivity.37,38  However, data suggest that patients are generally supportive of measures that help inform their health care providers of their literacy status.39  When incorporated as part of a comprehensive health and social history, addressing the subject and taking appropriate action can be nonthreatening and rewarding for both clinicians and patients.

Although discussions about how health literacy ought to be defined and measured will continue to guide interventions in coming years, by examining how to best support self-management, we can identify areas ripe for present-day clinical innovations. These include meeting patients' communication needs, developing patients' skills, and systematically integrating the two in a manner that removes self-management barriers across the continuum of care.

Clearly, patients must be able to understand what they are being instructed to do before they can do it. However, evidence suggests that health care encounters are laden with medical jargon,40  and, as a result, patients may understand as little as 50% of what is told to them during medical encounters.41  In a recent study of those with diabetes, two-thirds did not know their last A1C value and, of those who claimed they did, only 25% were able to accurately report the value.42 

Patients who rate their providers as being more thorough are more likely to know their A1C values,42  and patients whose physicians assessed recall or comprehension are more likely to have lower A1Cs.43  But few clinicians do this during visits; physicians assess understanding only 20% of the time, suggesting that, at its most basic level, literacy influences health outcomes by posing a barrier to knowledge acquisition and that focusing on improved communication during health care encounters may result in improved outcomes for patients.43 

Research exploring optimal methods for communicating with patients with limited literacy skills is by no means conclusive, but health literacy experts agree that incorporating a few simple techniques to improve communication and patients' understanding during clinical encounters is not only effective, but also feasible. These techniques include 1) asking open-ended questions, 2) limiting the number of new topics addressed and the amount of medical jargon used during clinical encounters, and 3) asking patients to restate information or to “teach back” information. Adopting these strategies allows health care providers to assess lapses in current understanding, uncover health beliefs, focus interventions, and appropriately tailor health messages.43 

An example of how to assess understanding through open-ended questioning is to ask patients about their understanding of diabetes, who else is involved in their care, examples of a typical day, and what medications they take, as well as how and when they take them. Research suggests that those with limited literacy may expect their involvement in health care decision-making to be limited to consenting to the recommendations offered by their health care provider instead of taking on a more active role and that those with less education more often involve relatives in their health decisions.44  Consequently, prompting patients for as much detail as possible and involving family members can uncover many health beliefs and areas on which to focus health education. For those providing more focused visits, simply asking patients to bring their medications and explain their name, dose, and purpose can be helpful for assessing understanding and identifying potential safety concerns, particularly for diabetic patients who are often prescribed several medications.

After gaining a sense of patients' skill and beliefs, clinicians should apply the information to appropriately tailor interventions and provide health education. For example, for a patient who demonstrates an inability to understand numerical information, it may not be reasonable to expect the patient to conduct preprandial glucose testing and insulin titrations. Instead, consistent doses, pre-dosed delivery methods, and fewer injections, although perhaps not optimal according to algorithms, may increase adherence and thus be a more effective treatment plan. Once a treatment plan has been developed, experts suggest limiting information to no more than three topics and, when giving information, doing so in clear, simple, jargon-free language. When possible, patients with limited literacy may benefit from visual aids and written materials to which they can refer after their visit.45 

Finally, after treatment decisions are made, experts strongly recommend that clinicians assess patients' understanding. This can be accomplished by asking patients to explain what was addressed during the visit, or to “teach back” to the clinician. An example of how this may take place is by the clinician simply stating his or her desire to ensure that the patient understands what was covered and asking the patient to explain or demonstrate it back. This process allows clinicians to facilitate mutual understanding by identifying sources of misinformation, lingering concerns, and the need to further tailor health messages.43 

Although ensuring that patients understand health information serves as a foundation for diabetes self-management, understanding alone does not translate into successful self-management on the part of patients. Many, if not most, patients with diabetes face significant self-management challenges. However, low health literacy is associated with a number of factors negatively influencing patients' ability to successfully translate knowledge into effective self-care, including lower self-efficacy (confidence), lower participation in decision-making, limited social support, depression, un- or underemployment, lack of insurance, and low socioeconomic status.4649 

These findings suggest that addressing the many psychosocial factors associated with self-management may be instrumental in improving the health outcomes for those with limited health literacy. Researchers have proposed that the health care community move beyond viewing health literacy as a risk factor to be “identified and appropriately managed” and instead view literacy as an asset to be developed that enables individuals “to exert greater control over their health and the range of personal, social, and environmental determinants of health.”16 

Research demonstrating that lower numeracy skills are associated with difficulty in performing a number of self-management tasks (e.g., correctly interpreting glucose meter readings and calculating carbohydrate intake and medication dosages) lead to worse glycemic control and are a source of racial health disparities. Because lower numeracy skills are associated with a host of negative outcomes, researchers and clinicians have begun to explore means of teaching numeracy skills to patients with diabetes.5,11,13  One example is the Diabetes Literacy and Numeracy Education Toolkit (DLNET), developed by clinician-researchers at Vanderbilt University.50  For further information, readers are referred to an article in this issue (p. 238) by the Vanderbilt University team that developed DLNET.

For many patients with diabetes, integrating the numerous self-management behaviors (e.g., medication management, glucose testing, regular appointments, diet, and exercise) into their daily lives also requires significant behavior changes. The process of integrating behaviors into the context of daily life not only requires knowledge acquisition, but also skill in applying practical information, setting realistic goals, and problem solving. Therefore, patient goal-setting and follow-up support have emerged as two cornerstones of quality self-management support.51,52 

Because data suggest that goal-setting and follow-up support are not commonly reported by diabetic patients,53  it has been suggested that integrating these areas into routine care is an important area for improving the quality of diabetes care.54  However, because goal-setting and follow-up are reported significantly less often by patients with low literacy skills,55  these needs may be a prime area of focus for interventions aiming to improve outcomes for those with limited literacy.

A number of interventions aimed at activating patients, supporting behavior change, and providing follow-up support are reported in the literature. One such example is the Living With Diabetes Toolkit, which pairs a simple behavioral change counseling strategy focused on constructing “action plans”—small, immediate, measureable behavioral goals—with visually appealing materials written at a low literacy level.45  When tested in a diverse sample of diabetic patients, the toolkit intervention resulted in improvements in a number of variables (e.g., self-efficacy, distress, activation, and knowledge) believed to contribute to improved self-management and thus to improved outcomes.56  In addition, patients reported a high degree of success achieving behavioral goals and a high level of satisfaction.57  The Living With Diabetes Toolkit is publicly available from the American College of Physicians' Foundation at http://diabetes.acponline.org/clinician. Patient materials are available in both English and Spanish.

Improving communication during health care encounters and developing patients' skills are important steps toward providing high-quality care for all patients with diabetes. However, evidence suggests that progress toward improving diabetes outcomes for those with limited literacy is slow. For example, when notified of their patients' limited health literacy, physicians successfully incorporated communication and management strategies recommended for patients with limited health literacy. But, although both physicians and patients felt screening was useful, these changes did not result in significant differences in patients' physiological outcomes, and physicians felt less satisfied with the overall quality of their visits.39  In a trial using DLNET, patients benefited from the materials and teaching strategy, but the differences in physiological outcomes between the intervention and control groups dissipated after 6 months.58 

On the surface, these results appear discouraging. However, what they likely suggest is that, for literacy-based interventions to affect patient outcomes, they need to be implemented as part of a system providing ongoing support for both people with diabetes and the clinicians caring for them. This is the primary reason for the diabetes self-management support requirements communicated in the ADA's National Standards for Diabetes Self-Management Education.59 

Success at achieving and sustaining improvement in diabetes outcomes for those with limited literacy may lie in recognizing and addressing the self-management barriers that exist throughout the continuum of patients' experiences. Low literacy is associated with many known self-management barriers that are unrelated to knowledge or skill acquisition, including lack of insurance, lack of transportation, and unemployment. Scarce resources pose significant self-management barriers for all patients, but the impact for those with limited literacy is likely to be more exaggerated; a seemingly minor change in pharmacy benefits can create an insurmountable barrier to accessing medications for a person who is unable to read. Adopting a comprehensive, coordinated approach that integrates a multidisciplinary team and community resources may help ameliorate many self-management barriers and improve health-related outcomes for those with limited literacy.

One example of system redesign is that offered by the popular Chronic Care Model (CCM), which has been applied to improve the overall quality of diabetes care delivered in primary care settings. Care modeled on the CCM includes providing not only self-management support to patients through goal-setting and routine follow-up, but also links to community resources and support to care providers through clinical information systems and decision support.6065 

Modeling primary care services on the CCM improves diabetes outcomes overall,6669  but data suggest that improvements for patients with limited literacy may be even greater in these systems that provide proactive, coordinated diabetes care, particularly those that help patients address access barriers such as insurance and transportation problems.70,71  The positive effect of proactive care modeled on the CCM may also be the result of better coordination of care across providers, reinforcement of messages, general awareness, and support from outside services. This coordination of care may be particularly helpful to patients with limited literacy who may struggle with communicating their comprehensive health histories in the setting of complex regimens and multiple provider visits. Additional details about the CCM and its implementation in clinical settings can be found online at http://www.improvingchroniccare.org.

A second, closely related effort based in part on the CCM is the adoption of the Patient-Centered Medical Home (PCMH) model by health care settings. The principles of the PCMH movement include finding sustainable and feasible means of providing ongoing access to a personal physician; a team of individuals at the practice-level who collectively take responsibility for the ongoing care of patients; a whole-person orientation that includes acute, chronic, preventive, and end-of-life care during all life stages; and care that is coordinated across the health care system and patients' community (e.g., family, public, and private community-based services).

Each of these principles, if realized, has important implications for meeting the needs of patients with limited literacy skills, particularly related to support for self-management needs and continued, personal follow-up, which are instrumental in efforts to improve the health outcomes of those with limited literacy. (For further discussion, readers are referred to the article on p. 228 of this issue by Erin E. Van Scoyoc, MD, MPH, and Darren A. DeWalt, MD, MPH.)

Although not specific to those with limited literacy, a number of demonstration projects sponsored by various stakeholder groups, including government agencies, payers, and providers, have reported early successes in improving health care for several conditions.72  Because limited literacy is more common among disadvantaged populations (e.g., those without insurance, racial and ethnic minorities, and those who are socially isolated), who are more likely to be without a medical home,73  widespread adoption of the PCMH model may be an important step to improving the quality of diabetes care delivered to those with limited literacy. Additional information about the PCMH model and movement can be found at http://www.pcpcc.net.

Limited literacy, when narrowly defined as the ability to read, is prevalent. When expanded to include the many skills related to successfully managing diabetes, literacy likely poses a barrier for > 50% of patients seeking care in our health care settings. The prevalence of limited health literacy has important implications in terms of health disparities, patient safety, and health care costs.

Numerous risk factors are associated with limited health literacy, but diabetes outcomes are influenced by health literacy through its effect on patient self-management. Although not well understood, there are a number of factors involved in this link, including ability to read prose and interpret numerical information, confidence and ability to act on health information, and problem-solving skills. As a result, interventions that aim to improve the outcomes of those with limited literacy are more likely to be successful if they are multifaceted, aim to help patients develop better oral and written communication strategies and key literacy and numeracy skills, and provide support for making behavior changes. In addition, because low health literacy exists in a context of other self-management challenges and access barriers, these efforts are more likely to succeed when carried out in the setting of a coordinated system supporting the self-management needs of patients across the continuum of care.

Next steps in improving the quality of care for those with limited literacy are likely to include a general understanding about how to implement complex interventions aimed at developing patients' skills into routine practice and the restructuring of care systems to better support the needs of busy providers trying to manage the complexities of diabetes care. Accurately screening all patients' health literacy skills may not be feasible on the large scale, so adopting clear communication strategies, supporting self-management, and redesigning care systems may be best viewed as a means of improving the overall quality of diabetes care, not only for those with limited health literacy, but for all patients.

The author thanks Linda L. Hand, PhD, of the University of Iowa in Iowa City for her editorial assistance.

In Brief

Approximately half of all Americans do not understand written and verbal health information well enough to take appropriate action. For chronic conditions requiring patients' ongoing self-management, limited literacy may be a powerful barrier to achieving optimal outcomes. Because low literacy is associated with a number of psychosocial variables that also act as barriers to self-management, health literacy experts recommend that efforts to alleviate the burden introduced by low literacy be addressed not only by developing means of increasing patients' understanding, but also by integrating such efforts into systems aiming to improve self-management support across the continuum of patient care. This article provides an overview of efforts to define, assess, and improve the quality of diabetes care provided to those with limited health literacy.

1.
Frankel
DH
:
Think horses, not zebras
.
Lancet
2
:
1515
-
1516
,
1987
2.
Williams
MV
,
Parker
RM
,
Baker
DW
,
Parikh
NS
,
Pitkin
K
,
Coates
WC
,
Nurss
JR
:
Inadequate functional health literacy among patients at two public hospitals
.
JAMA
274
:
1677
-
1682
,
1995
3.
Rudd
RE
:
Health literacy skills of U.S. adults
.
Am J Health Behav
31
(
Suppl. 1
):
8
-
18
,
2007
4.
Sentell
TL
,
Halpin
HA
:
Importance of adult literacy in understanding health disparities
.
J Gen Intern Med
21
:
862
-
866
,
2006
5.
Osborn
CY
,
Cavanaugh
K
,
Wallston
KA
,
White
RO
,
Rothman
RL
:
Diabetes numeracy: an overlooked factor in understanding racial disparities in glycemic control
.
Diabetes Care
32
:
1614
-
1619
,
2009
6.
Kutner
MG
,
EJin
Y
,
Paulsen
C
:
The Health Literacy of America's Adults: Results from the 2003 National Assessment of Health Literacy
.
Washington, D.C.
,
National Center for Education Statistics
,
2006
7.
Kirsch
IS
,
Jungeblut
A
,
Jenkins
L
,
Kolstad
A
:
Adult Literacy in America: A First Look at the Results of the National Adult Literacy Survey
.
Washington, D.C.
,
National Center for Education Statistics
,
1993
8.
Institute of Medicine
:
Health Literacy: A Prescription to End Confusion
.
Washington, D.C.
,
National Academies Press
,
2004
9.
Davis
TC
,
Wolf
MS
:
Health literacy: implications for family medicine
.
Fam Med
36
:
595
-
598
,
2004
10.
Rothman
RL
,
Housam
R
,
Weiss
H
,
Davis
D
,
Gregory
R
,
Gebretsadik
T
,
Shintani
A
,
Elasy
TA
:
Patient understanding of food labels: the role of literacy and numeracy
.
Am J Prev Med
31
:
391
-
398
,
2006
11.
Cavanaugh
K
,
Huizinga
MM
,
Wallston
KA
,
Gebretsadik
T
,
Shintani
A
,
Davis
D
,
Gregory
RP
,
Fuchs
L
,
Malone
R
,
Cherrington
A
,
Pignone
M
,
DeWalt
DA
,
Elasy
TA
,
Rothman
RL
:
Association of numeracy and diabetes control
.
Ann Intern Med
148
:
737
-
746
,
2008
12.
Sarkar
U
,
Schillinger
D
:
Does lower diabetes-related numeracy lead to increased risk for hypoglycemic events?
Ann Intern Med
149
:
594
,
2008
13.
Osborn
CY
,
Cavanaugh
K
,
Wallston
KA
,
White
RO
,
Rothman
RL
:
Diabetes numeracy: an overlooked factor in understanding racial disparities in glycemic control
.
Diabetes Care
32
:
1614
-
1619
,
2009
14.
Rosenfeld
L
,
Rudd
R
,
Emmons
KM
,
Acevedo-Garcia
D
,
Martin
L
,
Buka
S
:
Beyond reading alone: the relationship between aural literacy and asthma management
.
Patient Educ Couns
.
Electronically published ahead of print (DOI:10.1016/j.pec.2010.02.023)
15.
Nutbeam
D
:
The evolving concept of health literacy
.
Soc Sci Med
67
:
2072
-
2078
,
2008
16.
Nutbeam
D
:
Defining and measuring health literacy: what can we learn from literacy studies?
Int J Public Health
54
:
303
-
305
,
2009
17.
Nutbeam
D
:
Health promotion glossary
.
Health Promot Int
13
:
349
-
364
,
1998
18.
Hassan
K
,
Heptulla
RA
:
Glycemic control in pediatric type 1 diabetes: role of caregiver literacy
.
Pediatrics
125
:
e1104
-
e1108
,
2010
19.
Rosland
AM
,
Heisler
M
,
Choi
HJ
,
Silveira
MJ
,
Piette
JD
:
Family influences on self-management among functionally independent adults with diabetes or heart failure: do family members hinder as much as they help?
Chronic Illn
6
:
22
-
33
,
2010
20.
Banerjee
D
,
Perry
M
,
Tran
D
,
Arafat
R
:
Self-reported health, functional status and chronic disease in community dwelling older adults: untangling the role of demographics
.
J Community Health
35
:
135
-
141
,
2010
21.
Wolf
MS
,
Wilson
EA
,
Rapp
DN
,
Waite
KR
,
Bocchini
MV
,
Davis
TC
,
Rudd
RE
:
Literacy and learning in health care
.
Pediatrics
124
(
Suppl. 3
):
S275
-
S281
,
2009
22.
Funnell
MM
,
Brown
TL
,
Childs
BP
,
Haas
LB
,
Hosey
GM
,
Jensen
B
,
Maryniuk
M
,
Peyrot
M
,
Piette
JD
,
Reader
D
,
Siminerio
LM
,
Weinger
K
,
Weiss
MA
:
National standards for diabetes self-management education
.
Diabetes Care
32
(
Suppl. 1
):
S87
-
S94
,
2009
23.
Davis
TC
,
Crouch
MA
,
Long
SW
,
Jackson
RH
,
Bates
P
,
George
RB
,
Bairnsfather
LE
:
Rapid assessment of literacy levels of adult primary care patients
.
Fam Med
23
:
433
-
435
,
1991
24.
Davis
TC
,
Long
SW
,
Jackson
RH
,
Mayeaux
EJ
,
George
RB
,
Murphy
PW
,
Crouch
MA
:
Rapid estimate of adult literacy in medicine: a shortened screening instrument
.
Fam Med
25
:
391
-
395
,
1993
25.
Nath
CR
,
Sylvester
ST
,
Yasek
V
,
Gunel
E
:
Development and validation of a literacy assessment tool for persons with diabetes
.
Diabetes Educ
27
:
857
-
864
,
2001
26.
Bass
PF
 3rd
,
Wilson
JF
,
Griffith
CH
:
A shortened instrument for literacy screening
.
J Gen Intern Med
18
:
1036
-
1038
,
2003
27.
Parker
RM
,
Baker
DW
,
Williams
MV
,
Nurss
JR
:
The test of functional health literacy in adults: a new instrument for measuring patients' literacy skills
.
J Gen Intern Med
10
:
537
-
541
,
1995
28.
Baker
DW
,
Williams
MV
,
Parker
RM
,
Gazmararian
JA
,
Nurss
J
:
Development of a brief test to measure functional health literacy
.
Patient Educ Couns
38
:
33
-
42
,
1999
29.
Jastak
S
,
Wilkinson
GS
:
Wide Range Achievement Test—Revised 3
.
Wilmington, Del.
,
Jastak Associates
,
1993
30.
Berkman
ND
,
DeWalt
DA
,
Pignone
MP
,
Sheridan
SL
,
Lohr
KN
,
Lux
L
,
Sutton
SF
,
Swinson
T
,
Bonito
AJ
:
Literacy and Health Outcomes: Summary, Evidence Report/Technology Assessment: Number 87
.
AHRQ Publication Number 04-E007-1
.
Rockville, Md.
,
Agency for Healthcare Research and Quality
,
2004
. Available online from http://www.ahrq.gov/clinic/epcsums/litsum.htm.
31.
Huizinga
MM
,
Elasy
TA
,
Wallston
KA
,
Cavanaugh
K
,
Davis
D
,
Gregory
RP
,
Fuchs
LS
,
Malone
R
,
Cherrington
A
,
Dewalt
DA
,
Buse
J
,
Pignone
M
,
Rothman
RL
:
Development and validation of the Diabetes Numeracy Test (DNT)
.
BMC Health Serv Res
8
:
96
-
103
,
2008
32.
Weiss
BD
,
Mays
MZ
,
Martz
W
,
Castro
KM
,
DeWalt
DA
,
Pignone
MP
,
Mockbee
J
,
Hale
FA
:
Quick assessment of literacy in primary care: the newest vital sign
.
Ann Fam Med
3
:
514
-
522
,
2005
33.
Morris
NS
,
MacLean
CD
,
Chew
LD
,
Littenberg
B
:
The Single Item Literacy Screener: evaluation of a brief instrument to identify limited reading ability
.
BMC Fam Pract
7
:
21
-
27
,
2006
34.
Jeppesen
KM
,
Coyle
JD
,
Miser
WF
:
Screening questions to predict limited health literacy: a cross-sectional study of patients with diabetes mellitus
.
Ann Fam Med
7
:
24
-
31
,
2009
35.
Osborn
CY
,
Weiss
BD
,
Davis
TC
,
Skripkauskas
S
,
Rodrigue
C
,
Bass
PF
,
Wolf
MS
:
Measuring adult literacy in health care: performance of the newest vital sign
.
Am J Health Behav
31
(
Suppl. 1
):
S36
-
S46
,
2007
36.
Davis
TC
,
Michielutte
R
,
Askov
EN
,
Williams
MV
,
Weiss
BD
:
Practical assessment of adult literacy in health care
.
Health Educ Behav
25
:
613
-
624
,
1998
37.
Parikh
NS
,
Parker
RM
,
Nurss
JR
,
Baker
DW
,
Williams
MV
:
Shame and health literacy: the unspoken connection
.
Patient Educ Couns
27
:
33
-
39
,
1996
38.
Wolf
MS
,
Williams
MV
,
Parker
RM
,
Parikh
NS
,
Nowlan
AW
,
Baker
DW
:
Patients' shame and attitudes toward discussing the results of literacy screening
.
J Health Commun
12
:
721
-
732
,
2007
39.
Seligman
HK
,
Wang
FF
,
Palacios
JL
,
Wilson
CC
,
Daher
C
,
Piette
JD
,
Schillinger
D
:
Physician notification of their diabetes patients' limited health literacy: a randomized, controlled trial
.
J Gen Intern Med
20
:
1001
-
1007
,
2005
40.
Castro
CM
,
Wilson
C
,
Wang
F
,
Schillinger
D
:
Babel babble: physicians' use of unclarified medical jargon with patients
.
Am J Health Behav
31
(
Suppl. 1
):
S85
-
S95
,
2007
41.
Kessels
RP
:
Patients' memory for medical information
.
J R Soc Med
96
:
219
-
222
,
2003
42.
Heisler
M
,
Piette
JD
,
Spencer
M
,
Kieffer
E
,
Vijan
S
:
The relationship between knowledge of recent HbA1c values and diabetes care understanding and self-management
.
Diabetes Care
28
:
816
-
822
,
2005
43.
Schillinger
D
,
Piette
J
,
Grumbach
K
,
Wang
F
,
Wilson
C
,
Daher
C
,
Leong-Grotz
K
,
Castro
C
,
Bindman
AB
:
Closing the loop: physician communication with diabetic patients who have low health literacy
.
Arch Intern Med
163
:
83
-
90
,
2003
44.
Smith
SK
,
Dixon
A
,
Trevena
L
,
Nutbeam
D
,
McCaffery
KJ
:
Exploring patient involvement in healthcare decision-making across different education and functional health literacy groups
.
Soc Sci Med
69
:
1805
-
1812
,
2009
45.
Seligman
HK
,
Wallace
AS
,
DeWalt
DA
,
Schillinger
D
,
Arnold
CL
,
Shilliday
BB
,
Delgadillo
A
,
Bengal
N
,
Davis
TC
:
Facilitating behavior change with low-literacy patient education materials
.
Am J Health Behav
31
(
Suppl. 1
):
S69
-
S78
,
2007
46.
Karter
AJ
,
Subramanian
U
,
Saha
C
,
Crosson
JC
,
Parker
MM
,
Swain
BE
,
Moffet
HH
,
Marrero
DG
:
Barriers to insulin initiation: the translating research into action for diabetes insulin starts project
.
Diabetes Care
33
:
733
-
735
,
2010
47.
Karter
AJ
,
Stevens
MR
,
Brown
AF
,
Duru
OK
,
Gregg
EW
,
Gary
TL
,
Beckles
GL
,
Tseng
CW
,
Marrero
DG
,
Waitzfelder
B
,
Herman
WH
,
Piette
JD
,
Safford
MM
,
Ettner
SL
:
Educational disparities in health behaviors among patients with diabetes: the Translating Research Into Action for Diabetes (TRIAD) Study
.
BMC Public Health
7
:
308
-
314
,
2007
48.
Sarkar
U
,
Fisher
L
,
Schillinger
D
:
Is self-efficacy associated with diabetes self-management across race/ethnicity and health literacy?
Diabetes Care
29
:
823
-
829
,
2006
49.
DeWalt
DA
,
Boone
RS
,
Pignone
MP
:
Literacy and its relationship with self-efficacy, trust, and participation in medical decision-making
.
Am J Health Behav
31
(
Suppl. 1
):
S27
-
S35
,
2007
50.
Wolff
K
,
Cavanaugh
K
,
Malone
R
,
Hawk
V
,
Gregory
BP
,
Davis
D
,
Wallston
K
,
Rothman
RL
:
The Diabetes Literacy and Numeracy Education Toolkit (DLNET): materials to facilitate diabetes education and management in patients with low literacy and numeracy skills
.
Diabetes Educ
35
:
233
-
236
,
238–241, 244–245
,
2009
51.
Bodenheimer
T
,
Lorig
K
,
Holman
H
,
Grumbach
K
:
Patient self-management of chronic disease in primary care
.
JAMA
288
:
2469
-
2475
,
2002
52.
Estabrooks
PA
,
Nelson
CC
,
Xu
S
,
King
D
,
Bayliss
EA
,
Gaglio
B
,
Nutting
PA
,
Glasgow
RE
:
The frequency and behavioral outcomes of goal choices in the self-management of diabetes
.
Diabetes Educ
31
:
391
-
400
,
2005
53.
Bodenheimer
T
,
Handley
MA
:
Goal-setting for behavior change in primary care: an exploration and status report
.
Patient Educ Couns
76
:
174
-
180
,
2009
54.
Glasgow
RE
,
Whitesides
H
,
Nelson
CC
,
King
DK
:
Use of the Patient Assessment of Chronic Illness Care (PACIC) with diabetic patients: relationship to patient characteristics, receipt of care, and self-management
.
Diabetes Care
28
:
2655
-
2661
,
2005
55.
Wallace
AS
,
Carlson
JR
,
Malone
RM
,
Joyner
J
,
DeWalt
DA
:
The influence of literacy on patient-reported experiences of diabetes self-management support
.
Nurs Res
In press
56.
Wallace
AS
,
Seligman
HK
,
Davis
TC
,
Schillinger
D
,
Arnold
CL
,
Bryant-Shilliday
B
,
Freburger
JK
,
DeWalt
DA
:
Literacy-appropriate educational materials and brief counseling improve diabetes self-management
.
Patient Educ Couns
75
:
328
-
333
,
2009
57.
DeWalt
DA
,
Davis
TC
,
Wallace
AS
,
Seligman
HK
,
Bryant-Shilliday
B
,
Arnold
CL
,
Freburger
J
,
Schillinger
D
:
Goal setting in diabetes self-management: taking the baby steps to success
.
Patient Educ Couns
77
:
218
-
223
,
2009
58.
Cavanaugh
K
,
Wallston
KA
,
Gebretsadik
T
,
Shintani
A
,
Huizinga
MM
,
Davis
D
,
Gregory
RP
,
Malone
R
,
Pignone
M
,
DeWalt
D
,
Elasy
TA
,
Rothman
RL
:
Addressing literacy and numeracy to improve diabetes care: two randomized controlled trials
.
Diabetes Care
32
:
2149
-
2155
,
2009
59.
Funnell
MM
,
Brown
TL
,
Childs
BP
,
Haas
LB
,
Hosey
GM
,
Jensen
B
,
Maryniuk
M
,
Peyrot
M
,
Piette
JD
,
Reader
D
,
Siminerio
LM
,
Weinger
K
,
Weiss
MA
:
National standards for diabetes self-management education
.
Diabetes Care
31
(
Suppl. 1
):
S97
-
S104
,
2008
60.
Wagner
EH
:
Meeting the needs of chronically ill people
.
BMJ
323
:
945
-
946
,
2001
61.
Wagner
EH
,
Austin
BT
,
Davis
C
,
Hindmarsh
M
,
Schaefer
J
,
Bonomi
A
:
Improving chronic illness care: translating evidence into action
.
Health Aff
20
:
64
-
78
,
2001
62.
Wagner
EH
,
Glasgow
RE
,
Davis
C
,
Bonomi
AE
,
Provost
L
,
McCulloch
D
,
Carver
P
,
Sixta
C
:
Quality improvement in chronic illness care: a collaborative approach
.
Jt Comm J Qual Improv
27
:
63
-
80
,
2001
63.
Bodenheimer
T
,
Wagner
EH
,
Grumbach
K
:
Improving primary care for patients with chronic illness: the chronic care model, Part 2
.
JAMA
288
:
1909
-
1914
,
2002
64.
Bodenheimer
T
,
Wagner
EH
,
Grumbach
K
:
Improving primary care for patients with chronic illness
.
JAMA
288
:
1775
-
1779
,
2002
65.
Wagner
EH
,
Bennett
SM
,
Austin
BT
,
Greene
SM
,
Schaefer
JK
,
Vonkorff
M
:
Finding common ground: patient-centeredness and evidence-based chronic illness care
.
J Altern Complement Med
11
(
Suppl. 1
):
S7
-
S15
,
2005
66.
Bray
P
,
Roupe
M
,
Young
S
,
Harrell
J
,
Cummings
DM
,
Whetstone
LM
:
Feasibility and effectiveness of system redesign for diabetes care management in rural areas: the eastern North Carolina experience
.
Diabetes Educ
31
:
712
-
718
,
2005
67.
Bray
P
,
Thompson
D
,
Wynn
JD
,
Cummings
DM
,
Whetstone
L
:
Confronting disparities in diabetes care: the clinical effectiveness of redesigning care management for minority patients in rural primary care practices
.
J Rural Health
21
:
317
-
321
,
2005
68.
Siminerio
LM
,
Piatt
G
,
Zgibor
JC
:
Implementing the chronic care model for improvements in diabetes care and education in a rural primary care practice
.
Diabetes Educ
31
:
225
-
234
,
2005
69.
Siminerio
LM
,
Piatt
GA
,
Emerson
S
,
Ruppert
K
,
Saul
M
,
Solano
F
,
Stewart
A
,
Zgibor
JC
:
Deploying the chronic care model to implement and sustain diabetes self-management training programs
.
Diabetes Educ
32
:
253
-
260
,
2006
70.
Rothman
R
,
Malone
R
,
Bryant
B
,
Horlen
C
,
DeWalt
D
,
Pignone
M
:
The relationship between literacy and glycemic control in a diabetes disease-management program
.
Diabetes Educ
30
:
263
-
273
,
2004
71.
Rothman
RL
,
DeWalt
DA
,
Malone
R
,
Bryant
B
,
Shintani
A
,
Crigler
B
,
Weinberger
M
,
Pignone
M
:
Influence of patient literacy on the effectiveness of a primary care-based diabetes disease management program
.
JAMA
292
:
1711
-
1716
,
2004
72.
Reid
RJ
,
Fishman
PA
,
Yu
O
,
Ross
TR
,
Tufano
JT
,
Soman
MP
,
Larson
EB
:
Patient-centered medical home demonstration: a prospective, quasi-experimental, before and after evaluation
.
Am J Manag Care
15
:
e71
-
e87
,
2009
73.
Varkey
AB
,
Manwell
LB
,
Williams
ES
,
Ibrahim
SA
,
Brown
RL
,
Bobula
JA
,
Horner-Ibler
BA
,
Schwartz
MD
,
Konrad
TR
,
Wiltshire
JC
,
Linzer
M
;
MEMO Investigators
:
Separate and unequal: clinics where minority and nonminority patients receive primary care
.
Arch Intern Med
169
:
243
-
250
,
2009