Abstract
Objectives
To investigate the relationship between functional health literacy and glycaemic control in a sample of older patients with type 2 diabetes.
Design
Cross-sectional study.
Setting
A government-financed outpatient geriatric clinic in São Paulo, Brazil.
Participants
129 older patients with type 2 diabetes, a mean (SD) age of 75.9 (6.2) years, a mean glycosylated haemoglobin (HbA1c) of 7.2% (1.4), of which 14.7% had no formal education and 82.9% had less than a high-school diploma.
Measures
HbA1c was used as a measure of glycaemic control. Functional health literacy was assessed with the 18-item Short Assessment of Health Literacy for Portuguese-speaking Adults (SAHLPA-18), a validated instrument to evaluate pronunciation and comprehension of commonly used medical terms. Regression models were controlled for demographic data, depressive symptoms, diabetes duration, treatment regimen, diabetes knowledge and assistance for taking medications.
Results
Functional health literacy below adequate was encountered in 56.6% of the sample. After controlling for potential confounding factors, patients with inadequate functional health literacy were more likely than patients with adequate functional health literacy to present poor glycaemic control (OR=4.76; 95% CI 1.36 to 16.63). In a fully adjusted linear regression model, lower functional health literacy (β=−0.42; p<0.001), longer diabetes duration (β=0.24; p=0.012) and lack of assistance for taking medications (β=0.23; p=0.014) were associated with higher levels of HbA1c. Contrary to our expectations, illiterate patients did not have poorer outcomes when compared with patients with adequate functional health literacy, raising the hypothesis that illiterate individuals are more likely to have their difficulties recognised and compensated. However, the small subsample of illiterate patients provided limited power to reject differences with small magnitude.
Conclusions
Patients with inadequate functional health literacy presented with higher odds of poor glycaemic control. These findings reinforce the importance of addressing limited functional health literacy in clinical practice.
Keywords: Health Literacy, Diabetes, Glycemic Control, Older Adults
Strengths and limitations of this study.
The study included a sample which represents the lowest levels of the health literacy spectrum, where the association of health literacy with health outcomes is deemed to be stronger.
A wide range of potentially confounding variables has been controlled and we have made a careful selection of the sample, excluding conditions that can affect the accuracy of the HbA1c assay or determine different targets of glycaemic control.
The study was conducted in a government-financed health system which provides medications at no cost. This factor may attenuate inequalities in access to therapeutic resources, making the role of functional health literacy more evident.
Although we have excluded individuals with a clinical diagnosis of dementia, we did not screen for dementia and did not make adjustments for cognitive performance.
The relatively small subsample of illiterate patients provided limited power to reject risk differences with small magnitude.
Introduction
Health literacy has been defined by the WHO as ‘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’.1 The concept of health literacy is not restricted to the ability to read and follow medical instructions. It includes a range of communicative and critical skills such as searching for specific health knowledge, evaluating information for credibility, balancing risks and benefits, expressing needs and negotiating preferences.
The term ‘functional health literacy’ has been used to imply one's ability to function adequately in healthcare settings, as determined by instruments which access basic skills needed to deal with health-related written materials.2 This somewhat narrow approach misses the richness implied by the WHO definition, but warrants practical feasibility for studies investigating the relationships between health literacy and health outcomes. Inadequate functional health literacy has been independently associated with poorer ability to take medications appropriately, lower utilisation of preventive services, more hospitalisations, poorer overall health status and higher mortality rates.3 Multiple interventions exist to lessen the negative effects of inadequate functional health literacy,4 but health professionals often overestimate patients’ abilities and fail to recognise the problem.5
Some segments of the population are at greater risk for inadequate health literacy, including the socioeconomically disadvantaged, immigrants and older adults. In a study that included Medicare enrollees aged 65 years and older, functional health literacy skills declined dramatically with age, even after adjusting for educational status and cognitive impairment.6 Inadequate health literacy may disproportionately affect the health of older persons, not only because it is more prevalent in this age group but also because older persons are more exposed to healthcare services and more likely to receive complex therapeutic regimens.7
Diabetes care involves extensive self-management behaviours and requires pharmacological regimens that tend to become increasingly complex over time. This prototypical chronic disease constitutes a representative model for studying the influence of health literacy on health outcomes. However, although many theoretical mechanisms are proposed that link health literacy to diabetes self-care and clinical outcomes, the direct association between functional health literacy and glycaemic control is still controversial.8
In a recent systematic review, 13 studies were included that have explored the relationship between health literacy and glycaemic control.9 Results were inconsistent across studies, and the heterogeneity did not allow the estimation of an overall effect. Therefore, the evidence for direct association was rated insufficient. These findings may indicate that health literacy is related to certain outcomes in particular populations, but not in others. Only one study was conducted in a developing country, including a population with very low levels of educational attainment.10 In that study, higher scores on the Short Test of Functional Health Literacy in Adults (S-TOFHLA) were strongly associated with reduced levels of glycosylated haemoglobin (HbA1c). In general, there is paucity of data on the association between health literacy and glycaemic control in patients who have only rudimentary reading skills and in those who are unable to read at all.
The purpose of this study was to determine the independent association of functional health literacy with glycaemic control in a Brazilian sample of heterogeneous, predominantly low-educated older adults with type 2 diabetes.
Methods
Subjects
A convenient sample was recruited between June 2011 and July 2012 from a government-financed outpatient geriatric clinic in the city of São Paulo, southeastern Brazil. During this period, 225 older adults with type 2 diabetes were screened for participation. At the time of the study, there was no diabetes management programme or educational intervention in place. All patients were treated by geriatricians or geriatricians in training, were provided diabetes medications at no cost and had access to the same range of services.
Research staff reviewed medical records and spoke with patients to verify inclusion and exclusion criteria. Eligibility criteria included: (1) age ≥60 years; (2) self-reported ability to speak fluent Portuguese; (3) type 2 diabetes currently being treated with daily medication and (4) an HbA1c measurement performed within a 6-month period. Patients were ineligible if they had a hearing, vision, motor or speech problem that precluded adequate interaction with the interviewer or impeded appropriate completion of the proposed assessments. Patients with a diagnosis of dementia were excluded because cognitive impairment has been associated with poor performance in functional health literacy tests and may affect an individual's ability to manage drug regimens.11 12 Patients with overt thyroid dysfunction (thyroid-stimulating hormone <0.1 or >10 mU/L), anaemia (haemoglobin <11 mg/dL for men and <10 mg/dL for women) and severe renal failure (estimated glomerular filtration rate <30 mL/min/1.73 m2) were excluded because these conditions can affect the accuracy of the HbA1c assay.13–15
We further excluded participants who fulfilled criteria for frailty, because less stringent targets of glycaemic control have been proposed for the frail elderly.16 Frailty status was determined according to the Study of Osteoporotic Fracture (SOF) index.17 The SOF index is composed of the following three items: (1) weight loss of more than 5% during the last year; (2) inability to rise from a chair five consecutive times without using the arms and (3) self-perceived reduced energy level. Participants were assessed systematically and excluded if at least two of the three criteria were fulfilled.
Eligible patients attending scheduled appointments were approached in the clinic waiting room and provided a description of the study procedures. Informed consent was obtained before the interview. The consent form was read aloud and explained in plain language for those individuals who declared being illiterate or were judged by the interviewer as having questionable capacity to understand the form.
Demographic and clinical data
All participants were interviewed for demographic information, including age, gender, educational attainment (highest grade completed), race (white or non-white) and lifetime occupation (predominantly manual or non-manual). Individuals were further classified as married (including cohabiting) or unmarried (never married, divorced or widowed). Economic status was determined according to the Brazilian Economic Classification Criterion,18 which provides a discrete scale calculated by assigning scores to the number of household assets.
Duration of diabetes was registered and treatment was characterised as oral agents alone or an insulin-containing regimen. Participants were further asked if they had supervision or help in taking medications and classified as receiving assistance or not. As some studies have reported depression as an important factor influencing glycaemic control,19 we assessed depressive symptoms using the 15-Item Geriatric Depression Scale (GDS-15).20 21
Functional health literacy
We assessed functional health literacy by using the 18-item Short Assessment of Health Literacy for Portuguese-speaking Adults (SAHLPA-18), a test that evaluates pronunciation and comprehension of commonly used medical terms. SAHLPA-18 has been previously validated in a sample of Brazilian older adults, presenting moderate-to-high correlations with construct criteria, high internal consistency and adequate test–retest reliability.22
We used laminated flash cards, each with a medical term printed in boldface on the top and two association words at the bottom. One of the words is meaningfully associated with the medical term and the other is not. Respondents were shown flash cards one at a time and asked to read aloud the medical term in boldface. The interviewer then read the two association words and asked which one was meaningfully associated with the medical term. As the purpose of the association questions was to assess comprehension, respondents were instructed not to guess and say ‘don’t know’ if they did not know the correct association. The answer was deemed correct only when the respondent correctly pronounced the medical term and made the correct association. One point was scored for each correct item with a maximum score of 18. Using previously validated criteria,22 we categorised patients as having inadequate functional health literacy if the SAHLPA-18 score was 1–14 and adequate functional health literacy if it was 15–18. Patients were considered illiterates if the SAHLPA-18 score was 0 or if individuals did not attempt to complete the test alleging being unable to read at all.
Diabetes knowledge
Diabetes knowledge was assessed with the Spoken Knowledge in Low Literacy patients with Diabetes (SKILLD), a 10-item test with questions about behaviours patients should have to best manage their diabetes.23 SKILLD is verbally administrated—questions are read aloud in an open-ended format and answers are recorded as either correct or incorrect. Full marks are given only for complete answers and all questions are weighted equally. SKILLD was chosen because it provides measures of diabetes knowledge that are more independent of the literacy status, as it does not require reading tasks and the patients are allowed to explain answers in their own words.
Diabetes outcomes
The most recent HbA1c value extracted from the electronic medical record was used as a measure of glycaemic control, reflecting the mean glycaemia over the preceding 2–3 months. Recently published guidelines from the American Geriatrics Society Expert Panel on the Care of Older Adults with Diabetes Mellitus recommend that the ‘target goal for HbA1c in older adults generally should be 7.5–8%’.16 Accordingly, inadequate glycaemic control was defined as HbA1c >8%. Data on diabetes complications (ie, retinopathy, nephropathy and neuropathy) were obtained from medical records and registered as dichotomous variables (present or absent).
Statistical analysis
We performed descriptive statistics to characterise the sample and the studied variables. Patients were classified according to their functional health literacy status in one of three categories: illiteracy, inadequate functional health literacy or adequate functional health literacy. Variables were compared between the three groups using the Fisher exact test for categorical data, one-way analyses of variance (ANOVA) for continuous parametric data and Kruskal-Wallis for continuous non-parametric data. Post hoc tests for determining differences between means were accomplished with Tukey's honestly significant difference procedure. Effect sizes were calculated using Cohen's d method.
Regression analyses were used to explore the association between functional health literacy and glycaemic control while controlling for other potentially confounding variables. In primary analyses, functional health literacy and glycaemic control were used as continuous variables in hierarchical multiple linear regressions. In these models, HbA1c was the dependent variable and SAHLPA-18 was the primary independent variable. Covariates were entered in four sequential steps for examining their incremental validity, as indicated by changes in the coefficient of determination (R2). In the first step, SAHLPA-18 was entered without covariates. In the second step, seven sociodemographic variables were entered as a block (ie, age, gender, race, educational attainment, occupation, economic status and marital status). The incremental role of four clinical variables was examined in the third step (ie, depressive symptoms, diabetes duration, treatment regimen and assistance for taking medications). SKILLD was entered as the last step, because diabetes knowledge represents a further adjustment factor deemed to be interrelated with health literacy and that has not been used as a covariate in many studies. As SAHLPA-18 does not provide useful measures in illiterates, those individuals were not included in multiple linear models. Moreover, as regression models have included a substantial number of correlated variables, multicollinearity was assessed using the variance inflation factor (VIF).
In secondary analyses, functional health literacy and glycaemic control were taken as categorical variables in logistic regression models. The odds of inadequate glycaemic control were calculated separately for patients with illiteracy and inadequate health literacy taking patients with adequate functional health literacy as a reference. We also used logistic regression models to determine the independent effect of health literacy on the risk of diabetes complications.
Two-way interactions were carried out to investigate whether the impact of functional health literacy on glycaemic control differs according to age, gender, depressive symptoms, diabetes duration, insulin use and assistance for taking medications. In addition, we have investigated interactions between all variables that were significantly associated with glycaemic control in the fully adjusted linear regression model.
Based on a two-sided significance level of 0.05 and 80% power, we estimated a total sample size of 128 patients for detecting differences between two groups with medium effect sizes (Cohen's d=0.5). Statistical analyses were performed with Stata V.12.1 (Stata Corp. LP, College Station, Texas, USA) and power calculations were conducted with the software G*Power 3.1.5.24 All statistical tests were two-tailed, and an α level of less than 0.05 was used to indicate statistical significance.
Results
Two hundred and twenty-five older adults with type 2 diabetes were screened for participation. Of these, 66 were ineligible because they had dementia (n=51), renal failure (n=9), did not speak fluent Portuguese (n=3) and had anaemia (n=2) and aphasia (n=1). All the remaining 159 patients were approached at a clinical appointment. Of these, 13 were excluded because they were considered frail according to the SOF criteria, 10 presented with poor visual acuity, 1 had severe hearing impairment and 6 refused to participate.
Our sample consisted of 129 older adults with a mean age (SD) of 75.9 (6.2) years, 69.8% of whom were women. Median educational attainment was 4 years, with 14.7% of the individuals having no formal education and 82.9% having less than a high-school diploma. Functional health literacy below adequate as measured by SAHLPA-18 was encountered in 56.6% of the sample—11.6% who were illiterate and 45% who presented with inadequate functional health literacy. Overall, the median duration since the diagnosis of diabetes was 10 years, 31.8% of the patients were taking insulin and the mean (SD) HbA1c was 7.2% (1.4). Based on the most recent results for HbA1c, 52.7% of the patients were in tight control (HbA1c ≤7%), 24.8% were in fair control (HbA1c 7.1–8%) and 22.5% presented with inadequate glycaemic control (HbA1c >8%). Table 1 lists additional demographic and clinical characteristics of the sample.
Table 1.
Characteristics of the sample stratified by the functional health literacy level
| Characteristics | Total (n=129) | Functional health literacy level |
p Value* | ||
|---|---|---|---|---|---|
| Illiterate (n=15) | Inadequate (n=58) | Adequate (n=56) | |||
| Age, mean (SD), years | 75.9 (6.2) | 78.2 (6.3) | 75.9 (5.9) | 75.3 (6.4) | 0.280 |
| Female gender, No. (%) | 90 (69.8) | 14 (93.3) | 37 (63.8) | 39 (69.6) | 0.074 |
| White race, No. (%) | 61 (47.9) | 4 (26.7) | 21 (36.2) | 36 (64.3) | 0.003 |
| Education, median (IQR), years | 4 (2–8) | 0 (0–0) | 4 (3–4) | 7.5 (4–11) | <0.001 |
| Economic level (BECC score), mean (SD) | 19.9 (6.2) | 16.4 (5.8) | 19.2 (5.5) | 21.7 (6.5) | 0.006 |
| Manual occupation, No. (%) | 67 (51.9) | 14 (93.3) | 30 (51.7) | 23 (41.1) | 0.001 |
| Married, No. (%) | 42 (32.6) | 1 (6.7) | 19 (32.8) | 22 (39.3) | 0.057 |
| Assistance with medications, No. (%) | 22 (17.1) | 5 (33.3) | 10 (17.2) | 7 (12.5) | 0.200 |
| Diabetes knowledge (SKILLD), mean (SD) | 4.2 (2.6) | 2.5 (2.6) | 3.5 (2.2) | 5.3 (2.6) | <0.001 |
| Health literacy (SAHLPA-18), median (IQR) | 13 (10–16) | 0 (0–0) | 11.5 (10–13) | 16 (15–17) | <0.001 |
| Depressive symptoms (GDS-15), median (IQR) | 3 (1–5) | 4 (2.3–5.8) | 3 (1–5) | 2 (1–4.5) | 0.170 |
| Insulin containing regimen, No. (%) | 41 (31.8) | 6 (40.0) | 18 (31.0) | 17 (30.4) | 0.772 |
| Diabetes duration, median (IQR), years | 10 (5–20) | 20 (7.3–20) | 10 (5–19) | 12 (4.5–20) | 0.365 |
| HbA1c, mean (SD) | 7.2 (1.4) | 6.8 (1.1) | 7.6 (1.6) | 7.0 (1.1) | 0.034 |
| LDL cholesterol, mean (SD) | 110.5 (36.5) | 105.7 (29.6) | 108.3 (38.5) | 114.1 (36.3) | 0.605 |
| Systolic blood pressure, mean (SD) | 143.1 (23.5) | 147.3 (23.8) | 142.9 (23.7) | 142.0 (23.6) | 0.741 |
| Diastolic blood pressure, mean (SD) | 79.4 (10.8) | 78.0 (12.1) | 79.7 (7.9) | 79.5 (13.1) | 0.866 |
| Any microvascular complication, No. (%) | 33 (25.6) | 3 (20.0) | 18 (31.0) | 12 (21.4) | 0.468 |
| Retinopathy, No. (%) | 16 (12.4) | 0 (0) | 10 (17.2) | 6 (10.7) | 0.210 |
| Nephropathy, No. (%) | 17 (13.2) | 1 (6.7) | 9 (15.5) | 7 (12.5) | 0.813 |
| Neuropathy, No. (%) | 15 (11.6) | 3 (20.0) | 6 (10.3) | 6 (10.7) | 0.538 |
| Any macrovascular complication, No. (%) | 37 (28.7) | 5 (33.3) | 20 (34.5) | 12 (21.4) | 0.262 |
| Cerebrovascular disease, No. (%) | 15 (11.6) | 0 (0) | 10 (17.2) | 5 (8.9) | 0.142 |
| Coronary artery disease, No. (%) | 17 (13.2) | 4 (26.7) | 9 (15.5) | 4 (7.1) | 0.092 |
| Peripheral artery disease, No. (%) | 11 (8.5) | 2 (13.3) | 6 (10.3) | 3 (5.4) | 0.451 |
*The Fisher exact test was used for categorical variables, analysis of variance for means of continuous variables and Kruskal-Wallis test for medians of continuous variables.
BECC, Brazilian Economic Classification Criterion; GDS-15, 15-Item Geriatric Depression Scale; HbA1c, glycosylated haemoglobin; LDL, low-density lipoprotein; SAHLPA-18, 18-item Short Assessment of Health Literacy for Portuguese-speaking Adults; SKILLD, Spoken Knowledge in Low Literacy patients with Diabetes.
Patients with lower functional health literacy levels were more likely to have a non-white ethnicity, present a lower economic status, have a manual occupation, report a lower educational attainment and have less diabetes-specific knowledge. Overall, one-way ANOVA detected a significant difference in HbA1c means across functional health literacy levels (p=0.034). Post hoc tests revealed a significant difference between individuals with adequate and inadequate functional health literacy (HbA1c 6.96 vs 7.56; p=0.049), with a Cohen's d of 0.44 indicating a medium effect size.25 There was no difference in glycaemic control between individuals with adequate functional health literacy and those who were considered illiterates (HbA1c 6.96 vs 6.85; p=0.953).
In linear regression models, lower SAHLPA-18 scores were associated with higher levels of HbA1c throughout all adjustment steps. In the fully adjusted model, SAHLPA-18 was the variable more strongly associated with glycaemic control, with a standardised β of –0.42 (p<0.001). This means that, with all other variables held constant, a 1 SD increase on SAHLPA-18 would be associated with an improvement of 0.42 SD on the predicted HbA1c. The other variables associated with a poorer glycaemic control in the fully adjusted model were lack of assistance for taking medications and longer diabetes duration (table 2). The maximum VIF was 2.11 and mean VIF was 1.46, indicating that multicollinearity was not a problem. Interaction analyses did not yield any significant effects.
Table 2.
Association between HbA1c and patient characteristics in hierarchical multiple linear regression models (n=114)
| Independent variables | Standardised β coefficients |
|||
|---|---|---|---|---|
| Step 1 R2=0.06 |
Step 2 R2=0.15 |
Step 3 R2=0.29 |
Step 4 R2=0.29 |
|
| Health literacy, SAHLPA-18 score | −0.25** | −0.31** | −0.41*** | −0.42*** |
| Age (years) | −0.16 | −0.16 | −0.16 | |
| Gender (female vs male) | 0.08 | 0.16 | 0.16 | |
| Race (white vs non-white) | 0.03 | 0.03 | 0.03 | |
| Education (years) | 0.11 | 0.12 | 0.10 | |
| Occupation (manual vs non-manual) | 0.14 | 0.11 | 0.10 | |
| Economic status (BECC score) | 0.16 | 0.15 | 0.15 | |
| Marital status (married vs unmarried) | −0.09 | −0.08 | −0.08 | |
| Depressive symptoms, GDS-15 score | −0.07 | −0.06 | ||
| Diabetes duration (years) | 0.25** | 0.24* | ||
| Insulin containing regimen (yes vs no) | 0.17 | 0.16 | ||
| Assistance with medications (yes vs no) | −0.22* | −0.23* | ||
| Diabetes knowledge, SKILLD score | 0.05 | |||
Multiple linear regression models with HbA1c as the dependent variable, SAHLPA-18 as the primary independent variable and other characteristics as covariates. The coefficient of determination (R2) indicates the proportion of the variance of HbA1c which can be explained by the set of predictors.
*p<0.05.
**p<0.01.
***p<0.001.
BECC, Brazilian Economic Classification Criterion; GDS-15, 15-Item Geriatric Depression Scale; HbA1c, glycosylated haemoglobin; SAHLPA-18, 18-item Short Assessment of Health Literacy for Portuguese-speaking Adults; SKILLD, Spoken Knowledge in Low Literacy patients with Diabetes.
In fully adjusted logistic regression models, patients with inadequate functional health literacy were more likely than patients with adequate functional health literacy to present with inadequate glycaemic control (HbA1c >8%) and with adjusted OR of 4.76 (95% CI 1.36 to 16.63). We did not find significant associations between inadequate functional health literacy and diabetes complications. In all adjusted models, illiterate individuals did not have poorer diabetes outcomes when compared with individuals with adequate functional health literacy (table 3).
Table3.
Functional health literacy and poor diabetes outcomes (n=129)
| Outcome | Health literacy level | No. (%) | OR (95% CI) |
|
|---|---|---|---|---|
| Unadjusted | Adjusted* | |||
| Inadequate glycaemic control (HbA1C >8%) | Adequate | 9 (16.1) | 1.00 | 1.00 |
| Inadequate | 18 (31.0) | 2.35 (0.95 to 5.81) | 4.76 (1.36 to 16.63) | |
| Illiteracy | 2 (13.3) | 0.80 (0.15 to 4.19) | 1.17 (0.13 to 10.87) | |
| Retinopathy | Adequate | 6 (10.7) | 1.00 | 1.00 |
| Inadequate | 10 (17.2) | 1.74 (0.59 to 5.15) | 2.88 (0.60 to 13.86) | |
| Illiteracy | 0 (0.0) | NA | NA | |
| Nephropathy | Adequate | 7 (12.5) | 1.00 | 1.00 |
| Inadequate | 9 (15.5) | 1.29 (0.44 to 3.73) | 0.91 (0.19 to 4.42) | |
| Illiteracy | 1 (6.7) | 0.50 (0.06 to 4.41) | 0.23 (0.01 to 3.85) | |
| Neuropathy | Adequate | 6 (10.7) | 1.00 | 1.00 |
| Inadequate | 6 (10.3) | 0.96 (0.29 to 3.18) | 0.98 (0.22 to 4.36) | |
| Illiteracy | 3 (20.0) | 2.08 (0.45 to 9.55) | 1.24 (0.15 to 10.27) | |
*Adjusted for: age, gender, race, educational attainment, occupation, economic status, marital status, assistance for taking medications, depressive symptoms, diabetes duration, treatment regimen and diabetes knowledge.
HbA1c, glycosylated haemoglobin; NA, not applicable.
Discussion
In a sample of low-educated older patients with type 2 diabetes, our study demonstrates that lower scores on a functional health literacy test are associated with a higher likelihood of poor glycaemic control after adjusting for potential confounders. Our result is consistent with that reported by Tang et al,10 who studied a sample of Chinese patients with educational levels that are compatible with those encountered in our sample.
It has been suggested that there may be a threshold for the association between health literacy and health outcomes, that is, a certain level of health literacy is needed for a good outcome, but higher levels add little benefit.26 According to that rationale, the influence of health literacy on health outcomes would be stronger at the lower end of the health literacy spectrum, with the association curve tending to reach a plateau at the higher end. Our study, as well as that of Tang et al,10 has included a sample which represents properly the lowest levels of the health literacy spectrum, where the association of health literacy with health outcomes is deemed to be stronger. This may explain, at least in part, the convincing associations that have been found in both studies, but more studies with very low educated populations from developing countries are needed to confirm that hypothesis.
In addition to the preceding hypothesis, two additional factors can be invoked to explain the significant association observed in our study between functional health literacy and glycaemic control. First, we have made a careful selection of the sample, excluding conditions that can influence scores in functional health literacy tests, affect the accuracy of the HbA1c assay or determine different targets of glycaemic control. Second, the study was conducted in a government-financed health system which provides medications at no cost. This factor may attenuate inequalities in access to therapeutic resources, making the role of functional health literacy more evident.
After conducting a systematic review, Al Sayah et al9 suggested that a confounder could explain the inconsistency in results across studies designed to investigate the effects of health literacy on diabetes outcomes. Significant associations between functional health literacy and HbA1c were found mostly in studies that did not adjust for diabetes knowledge. Our study brings a new piece of evidence that is contrary to that hypothesis—we have controlled for diabetes knowledge and have still found a significant association between functional health literacy and glycaemic control. The use of a verbally administered test to evaluate diabetes knowledge in our study may explain this contrasting result. In prior studies, tests of diabetes knowledge which involve reading and writing may have provided measures that are highly correlated with functional health literacy tests, thus suppressing some of the effects of this variable.
In our study, the diabetes knowledge test was moderately correlated with the measure of functional health literacy (r=0.39) and its corresponding VIF was 1.70, indicating that it did not cause multicollinearity. When SKILLD was added to a model already containing SAHLPA-18, demographic characteristics and clinical factors, it was not significantly associated with glycaemic control; it did not change the results and also did not improve the predictive power of the regression model (table 2). Findings from a recent study conducted by Jeppesen et al27 have raised concerns about the properties of SKILLD. Besides presenting only a moderate correlation with a measure of criterion validity, the test has been shown to have limited inter-rater reliability and low internal consistency. Taking into account the findings of Jeppesen et al and those of the present study, it is worth suggesting that the properties of SKILLD should be carefully investigated in future studies before it can be assumed to provide valid and useful measures.
Contrary to our expectations, illiterate patients did not have poorer glycaemic control when compared to patients with adequate functional health literacy. This finding raises questions on how illiterate patients may compensate for their difficulties. We can speculate that, when caring for patients who report being unable to read at all, health professionals and family members are more aware of the need for compensation strategies. In contrast, among individuals who report being able to read, inadequate health literacy is a frequently unrecognised condition.5 Unfortunately, our study did not include a specific instrument to assess social support, which would have allowed us to explore a possible interaction of this factor with functional health literacy in determining diabetes outcomes. In future studies, instruments designed to assess social support may possibly explain how illiterate patients can compensate for their difficulties.
In an Iranian diabetes clinic, Jahanlou and Karami28 did not find a significant difference in HbA1c levels between illiterate (n=108) and literate (n=148) patients. Similarly, Hawthorne and Tomlinson29 reported comparable levels of HbA1c between illiterate (n=54) and literate (n=158) Pakistani patients with type 2 diabetes. However, both studies have based their reports on bivariate analyses, without appropriate control for confounding variables. In our study, the relatively small subsample of illiterate patients provided limited power to reject differences with small or even moderate magnitude. Therefore, these preliminary findings regarding glycaemic control in illiterate patients should be confirmed in future studies with adequate sample size and adjustment for confounding variables.
Our study has a number of limitations. First, its cross-sectional design does not allow the establishment of causal associations between inadequate functional health literacy and poor diabetes outcomes. Second, although we have excluded individuals with a diagnosis of dementia, we did not screen for dementia and did not make adjustments for cognitive performance. Third, our study was clearly underpowered to investigate the association between functional health literacy and diabetes complications, which presented low prevalence in our sample, varying from 11.6% (neuropathy) to 13.2% (nephropathy). Fourth, although SAHLPA-18 has been shown to be valid and to present good psychometric properties in Brazilian older adults,22 it does not include tasks to assess some important aspects of health literacy, such as numeracy skills, interactive skills and critical skills.30
In conclusion, this study found that, in a sample of low-educated older patients with type 2 diabetes, lower functional health literacy skills were associated with higher odds of poor glycaemic control. These findings reinforce the importance of addressing limited functional health literacy in clinical practice.
Supplementary Material
Footnotes
Contributors: JGS participated in the study design, collected the data and wrote the first draft of the manuscript. DA conceived the study, conducted the statistical analysis and wrote the final draft of the manuscript. RMM, ALB, FC and WJ-F participated in the study design and revised the manuscript.
Funding: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: None.
Ethics approval: Comissão de Ética para Análise de Projetos de Pesquisa do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (CAPPesq).
Provenance and peer review: Not commissioned; externally peer reviewed.
Data sharing statement: No additional data are available.
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