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The Role of Health Literacy in Diabetes Knowledge, Self-Care, and Glycemic Control: a Meta-analysis.

ABSTRACT: BACKGROUND:Empirical evidence on how health literacy affects diabetes outcomes is inconsistent. The purpose of this meta-analysis was to quantitatively summarize the findings on the associations between health literacy and diabetes knowledge, self-care activities, and glycemic control as disease-related outcomes, with specific focus on the type of health literacy assessment. DATA SOURCES:Nine databases (MEDLINE, CINAHL, Communication and Mass Media Complete, PsychInfo, PsychArticles, Psychology and Behavioral Sciences Collection, ERIC, Sociology, Embase) were searched for peer-reviewed original research articles published until 31 March 2018. METHODS:Studies with type 1 and/or type 2 diabetes patients aged 18 or older, providing a calculable baseline effect size for functional health literacy and diabetes knowledge, self-care activities, or HbA1C were included. RESULTS:The meta-analysis includes 61 studies with a total of 18,905 patients. The majority were conducted in the USA, on type 2 diabetes patients, and used the S-TOFHLA as a performance-based or the BHLS as a perception-based measure of functional health literacy. Meta-analytic results show that all three outcomes are related to health literacy. Diabetes knowledge was best predicted by performance-based health literacy measures, self-care by self-report measures, and glycemic control equally by both types of health literacy assessment. DISCUSSION:Health literacy plays a substantial role in diabetes knowledge. Findings for the role of health literacy in self-care and glycemic control remain heterogeneous, partly due to the type of health literacy assessment (performance- vs. perception-based). This has implications for the use of health literacy measures in clinical settings and original research. This meta-analysis was limited to functional health literacy and, due to the paucity of studies, did not investigate the role of other dimensions including communicative and critical health literacy.

SUBMITTER: Marciano L

PROVIDER: S-EPMC6544696 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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The Role of Health Literacy in Diabetes Knowledge, Self-Care, and Glycemic Control: a Meta-analysis.

Marciano Laura L Camerini Anne-Linda AL Schulz Peter J PJ

Journal of general internal medicine 20190315 6

<h4>Background</h4>Empirical evidence on how health literacy affects diabetes outcomes is inconsistent. The purpose of this meta-analysis was to quantitatively summarize the findings on the associations between health literacy and diabetes knowledge, self-care activities, and glycemic control as disease-related outcomes, with specific focus on the type of health literacy assessment.<h4>Data sources</h4>Nine databases (MEDLINE, CINAHL, Communication and Mass Media Complete, PsychInfo, PsychArticl ...[more]

PMID: 30877457

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Project description:ObjectiveEffective diabetes self-management can prevent long-term health complications but is often complex and difficult to achieve. Health care professionals' support for patients' autonomy (autonomy support) in managing their diabetes contributes to better diabetes self-care and glycemic control. Most adults with diabetes also receive self-management support from informal health supporters. Yet, the role of autonomy support from these informal health supporters has not been explored. We examined patients' perceived autonomy support from their main health supporter (family member or friend) in relation to their diabetes distress, self-efficacy, self-monitoring of blood glucose (SMBG), medication adherence, and hemoglobin A1c (HbA1c).MethodThree hundred twenty-six veterans with Type 2 diabetes at high risk for complications, who identified a main health supporter, were surveyed using self-report measures of social support, diabetes distress, self-efficacy, and self-care. HbA1c and prescription fill data were extracted from VA electronic records for the 12-months before and after the survey. Linear regression and linear mixed models examined the associations of autonomy support with diabetes distress, self-efficacy, SMBG, medication adherence, and glycemic control, controlling for participant-supporter relationship characteristics and patient-factors.ResultsIn adjusted models, greater autonomy support was associated with lower diabetes distress (B = -.323, SE = .098, p = .001), greater self-efficacy (B = .819, SE = .148, p < .001), more frequent SMBG (B = .297, SE = .082, p < .001), and better subsequent 12-month glycemic control (B = .257, SE = .085, p = .003) but not with medication adherence (B = .001, SE = .020, p = .994).ConclusionsAutonomy support from main health supporters is significantly associated better diabetes related attitudes, self-care, and glycemic control after adjusting for relationship and patient characteristics. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Project description:BackgroundUnderstanding how people with diabetes seek online health information and use health applications is important to ensure these electronic tools are successfully supporting patient self-care. Furthermore, identifying the relationship between patient mobile eHealth literacy (mobile eHL) and diabetes outcomes can have far-reaching utility, for example, in the design of targeted interventions to address mobile eHL limitations. However, only limited studies have explored the impact of mobile eHL in a population with diabetes.ObjectiveThis study aims to present data about online information-seeking behavior and mobile health (mHealth) app usage, investigate the factors related to mobile eHL in Taiwanese patients with type 2 diabetes, and flesh out the relationship between eHealth literacy (eHL), mobile health literacy (mHL), and health outcomes.MethodsSubjects were recruited from January 2017 to December 2017 in the outpatient departments of 3 hospitals in Taiwan. A total of 249 Taiwanese patients with diabetes voluntarily completed a cross-sectional survey assessing sociodemographic characteristics; diabetes status; knowledge and skills of computers, the internet, and mobile apps; mobile eHL; and patient outcomes (self-care behaviors, self-rated health, HbA1c). Structural equation modeling analyses examined the model fit of mobile eHL scores and the interrelationships between latent constructs and observable variables.ResultsOf the 249 patients with diabetes, 67% (164/249) reported they had searched for online diabetes information. The participants with smartphones had owned them for an average of 6.5 years and used them for an average of 4.5 (SD 3.81) hours per day. Only 1.6% (4/249) of the patients used health apps. Some demographic factors affecting mobile eHL included age, education, and duration of type 2 diabetes. Mobile eHL was related to self-care behaviors as well as knowledge and skills of computers, the internet, and mobile technology, but only had a weak, indirect effect on self-rated health. The final model had adequate goodness-of-fit indexes: chi-square (83)=149.572, P<.001; comparative fit index (CFI)=0.925; root mean square of approximation (RMSEA)=0.057 (90% CI 004-006); chi-square/df=1.082. Mobile eHL had a weak, indirect effect on self-rated health through the variables of knowledge with skills.ConclusionsOur study reveals that although people with diabetes who rated their health conditions as moderate were confident in using mobile eHealth and technology, few adopted these tools in their daily lives. The study found that mobile eHL had a direct effect on self-care behavior as well as knowledge and skills of computers, the internet, and mobile technology, and had an indirect effect on health outcomes (glycemic control and self-rated health status). Information about this population's experiences and the role mobile eHL plays in them can spur necessary mobile eHealth patient education.

Project description:IntroductionThe exact pathway linking health literacy, self-efficacy, medication adherence, and glycemic control for type 2 diabetes remains unclear. Understanding the relationship between patient factors, medication adherence, and lower glycated hemoglobin (HbA1c) may help patients better manage their disease. This study examined the association of health literacy and medication self-efficacy with self-reported diabetes medication adherence, and the association of health literacy, medication self-efficacy, and self-reported diabetes medication adherence with HbA1c of patients with type 2 diabetes.MethodsThis cross-sectional study utilized a face-to-face questionnaire at two family medicine clinics in a Midwestern state among 174 patients; subjects enrolled were at least 20 years old with diagnosed type 2 diabetes, prescribed at least one oral diabetes medicine, and understood English. Questionnaires were administered to assess the participants': health literacy, using the Newest Vital Sign six-item questionnaire (NVS); self-efficacy for medication use, using the 13-item Self-Efficacy for Appropriate Medication Use Scale; and self-report medication adherence, using the eight-item Morisky Medication Adherence Scale. HbA1c values were obtained from participants' electronic medical records. Multiple linear regressions were used to explore the association of health literacy and medication self-efficacy with both medication adherence and HbA1c level after controlling for all other covariates.ResultsSelf-reported health status (β = 0.17, p = 0.015) and medication self-efficacy (β = 0.53, p < 0.001) were positively associated with diabetes medication adherence. Health literacy was neither associated with diabetes medication adherence (β = -0.04, p = 0.586) nor HbA1c (β = -0.06, p = 0.542). Lower diabetes medication adherence (β = -0.26, p = 0.008) and higher number of prescribed medications (β = 0.28, p = 0.009) were correlated with higher HbA1c.ConclusionHealth literacy, as measured by the NVS, does not correlate with medication adherence or glycemic control among patients with type 2 diabetes. Interventions to improve patients' self-efficacy of medication use may improve diabetes medication adherence.

Project description:Background: This study investigated the determinants (with a special emphasis on the role of diabetes app use, use of continuous glucose monitoring (CGM) device, and self-care behavior) of glycemic control of type 1 and type 2 diabetes mellitus (DM). Methods: A web-based survey was conducted using diabetes Facebook groups, online patient-forums, and targeted Facebook advertisements (ads). Demographic, CGM, diabetes app use, and self-care behavior data were collected. Glycemic level data were categorized into hyperglycemia, hypoglycemia, and good control. Multinomial logistic regression stratified by diabetes type was performed. Results: The survey URL was posted in 78 Facebook groups and eight online forums, and ten targeted Facebook ads were conducted yielding 1854 responses. Of those owning smartphones (n = 1753, 95%), 1052 (62.6%) had type 1 and 630 (37.4%) had type 2 DM. More than half of the type 1 respondents (n = 549, 52.2%) and one third the respondents with type 2 DM (n = 210, 33.3%) reported using diabetes apps. Increased odds of experiencing hyperglycemia were noted in persons with type 1 DM with lower educational status (Adjusted Odds Ratio (AOR) = 1.7; 95% Confidence Interval (CI): 1.21⁻2.39); smokers (1.63, 95% CI: 1.15⁻2.32), and high diabetes self-management concern (AOR = 2.09, 95% CI: 1.15⁻2.32). CGM use (AOR = 0.66, 95% CI: 0.44⁻1.00); "general diet" (AOR = 0.86, 95% CI: 0.79⁻0.94); and "blood glucose monitoring" (AOR = 0.88, 95%CI: 0.80⁻0.97) self-care behavior reduced the odds of experiencing hyperglycemia. Hypoglycemia in type 1 DM was reduced by using CGM (AOR = 0.24, 95% CI: 0.09⁻0.60), while it was increased by experiencing a high diabetes self-management concern (AOR = 1.94, 95% CI: 1.04⁻3.61). Hyperglycemia in type 2 DM was increased by age (OR = 1.02, 95% CI: 1.00⁻1.04); high self-management concern (AOR = 2.59, 95% CI: 1.74⁻3.84); and poor confidence in self-management capacity (AOR = 3.22, 2.07⁻5.00). Conversely, diabetes app use (AOR = 0.63, 95% CI: 0.41⁻0.96) and "general diet" self-care (AOR = 0.84, 95% CI: 0.75⁻0.94), were significantly associated with the reduced odds of hyperglycemia. Conclusion: Diabetes apps, CGM, and educational interventions aimed at reducing self-management concerns and enhancing dietary self-care behavior and self-management confidence may help patients with diabetes to improve glycemic control.

Project description:ObjectivesThe psychological distress of people living with diabetes is increased and associated with poorer glycemic outcomes and self-care. We aimed to examine the frequency of depression, anxiety, and diabetes-related distress (DRD) of individuals with type 2 diabetes (T2D) in primary care (PC) and their comparative associations with clinical, self-care, and socio-demographic characteristics, testing for possible different roles on glycemic control and self-care.MethodsThis is a cross-sectional study of 182 adults with a T2D diagnosis of at least six months, recruited between August 2019-March 2020 and May-October 2020, from an urban PC unit. Participants were screened for symptoms of depression (Patient Health Questionnaire-9 (PHQ-9)), anxiety (Generalized Anxiety Disorder-7 (GAD-7)), and DRD (Diabetes Distress Scale (DDS)). Clinical, self-care, and socio-demographic parameters were recorded.ResultsThe frequency of clinically significant symptoms of depression was 16.6%, (PHQ-9 score ⩾10), anxiety 17.7% (GAD-7 score ⩾10), and DRD 22.6% (DDS score ⩾2). All PHQ-9, GAD-7, and DDS scores intercorrelated, and higher scores were found to be associated with female gender, lower income, and prior diagnosis of depression. Higher PHQ-9 and GAD-7 scores were found to be associated with lower education, more hypoglycemia episodes, more blood glucose self-tests and antidepressant or benzodiazepine use. The retired/housewives scored significantly lower in GAD-7 and DDS compared to the unemployed participants. Higher DDS scores were associated with higher glycated hemoglobin, higher fasting plasma glucose, and insulin use. It was also noted that higher PHQ-9 scores were associated with lower uric acid levels and were significantly higher in the sedentary lifestyle group.ConclusionDRD was associated with poorer glycemic outcomes while depressive symptoms were associated with lower physical activity perhaps sharing different roles for glycemic control and self-care. The psychological burden of individuals with T2D may be considered in PC.

Project description:BackgroundAlthough important achievements have been done in type 2 diabetes mellitus (T2D) treatment and glycemic control, new strategies may take advantage of non-pharmacological approaches and of other potential determinants of health (e.g., socioeconomic status, education, diabetes knowledge, physical activity, and self-care behavior). However, the relationships between these factors are not totally clear and have not been studied in the context of large urban settings. This study aimed to explore the relationship between these determinants of glycemic control (GC) in a low-income urban population from Mexico City, focused in exploring potential the mediation of self-care behaviors in the association between diabetes knowledge and GC.MethodsA multicenter cross-sectional study was conducted in patients with type 2 diabetes (T2D) from 28 primary care outpatient centers located in Mexico City. Using multivariable-adjusted models, we determined the associations between diabetes knowledge, self-care behaviors, and GC. The mediation analyses to determine the pathways on glycemic control were done using linear regression models, where the significance of indirect effects was calculated with bootstrapping.ResultsThe population (N = 513) had a mean age of 53.8 years (standard deviation: 11.3 yrs.), and 65.9% were women. Both socioeconomic status and level of education were directly associated with diabetes knowledge. Using multivariable-adjusted linear models, we found that diabetes knowledge was associated with GC (β: -0.102, 95% Confidence Interval [95% CI] -0.189, - 0.014). Diabetes knowledge was also independently associated with self-care behavior (for physical activity: β: 0.181, 95% CI 0.088, 0.273), and self-care behavior was associated with GC (for physical activity: β: -0.112, 95% CI -0.194, - 0.029). The association between diabetes knowledge and GC was not observed after adjustment for self-care behaviors, especially physical activity (β: -0.084, 95% CI -0.182, 0.014, p-value: 0.062). Finally, the mediation models showed that the effect of diabetes knowledge on GC was 17% independently mediated by physical activity (p-value: 0.049).ConclusionsSocioeconomic and educational gradients influence diabetes knowledge among primary care patients with type 2 diabetes. Self-care activities, particularly physical activity, mediated the effect of diabetes knowledge on GC. Our results indicate that diabetes knowledge should be reinforced in low-income T2D patients, with an emphasis on the benefits physical activity has on improving GC.

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The Role of Health Literacy in Diabetes Knowledge, Self-Care, and Glycemic Control: a Meta-analysis.

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The Role of Health Literacy in Diabetes Knowledge, Self-Care, and Glycemic Control: a Meta-analysis.

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