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Using a tailored health information technology- driven intervention to improve health literacy and medication adherence in a Pakistani population with vascular disease (Talking Rx) - study protocol for a randomized controlled trial.

ABSTRACT: Vascular disease, manifesting as myocardial infarction and stroke, is a major cause of morbidity and mortality, especially in low- and middle-income countries. Current estimates are that only one in six patients have good adherence to medications and very few have sufficient health literacy. Our aim is to explore the effectiveness and acceptability of Prescription Interactive Voice Response (IVR) Talking Prescriptions (Talking Rx) and SMS reminders in increasing medication adherence and health literacy in Pakistani patients with vascular disease.This is a randomized, controlled, single center trial. Adult participants, with access to a cell phone and a history of vascular disease, taking multiple risk-modifying medications (inclusive of anti-platelets and statins) will be selected from cerebrovascular and cardiovascular clinics. They will be randomized in a 1:1 ratio via a block design to the intervention or the control arm with both groups having access to a helpline number to address their queries in addition to standard of care as per institutional guidelines. Participants in the intervention group will also have access to Interactive Voice Response (IVR) technology tailored to their respective prescriptions in the native language (Urdu) and will have the ability to hear information about their medication dosage, correct use, side effects, mechanism of action and how and why they should use their medication, as many times as they like. Participants in the intervention arm will also receive scheduled SMS messages reminding them to take their medications. The primary outcome measure will be the comparison of the difference in adherence to anti-platelet and statin medication between baseline and at 3-month follow-up in each group measured by the Morisky Medication Adherence Scale. To ascertain the impact of our intervention on health literacy, we will also compare a local content-validated and modified version of Test of Health Literacy in Adults (TOFHLA) between the intervention and the control arm. We estimate that a sample size of 86 participants in each arm will be able to detect a difference of 1 point on the MMAS with a power of 90 % and significance level of 5 %. Accounting for an attrition rate of 15 %, we plan to enroll 100 participants in each arm (total study population = 200). We hypothesize that a linguistically tailored health IT intervention based on IVR and SMS will be associated with an improvement in adherence (to anti-platelet and lipid-lowering medications) and an improvement in health literacy in Pakistani patients with vascular disease.This innovative study will provide early data for the feasibility of the use of IT based prescriptions in an lower middle incorme country setting with limited numeracy and literacy skills.Clinical Trials.gov: NCT02354040 - 2 February 2015.

SUBMITTER: Kamal AK

PROVIDER: S-EPMC4779210 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

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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:BackgroundAtrial fibrillation (AF) is a highly prevalent heart rhythm condition that has significant associated morbidity and requires chronic treatment. Mobile health (mHealth) technologies have the potential to enhance multiple aspects of AF care, including education, monitoring of symptoms, and encouraging and tracking medication adherence. We have previously implemented and tested relational agents to improve outcomes in chronic disease and sought to develop a smartphone-based relational agent for improving patient-centered outcomes in AF.ObjectiveThe objective of this study was to pilot a smartphone-based relational agent as preparation for a randomized clinical trial, the Atrial Fibrillation Health Literacy Information Technology Trial (AF-LITT).MethodsWe developed the relational agent for use by a smartphone consistent with our prior approaches. We programmed the relational agent as a computer-animated agent to simulate a face-to-face conversation and to serve as a health counselor or coach specific to AF. Relational agent's dialogue content, informed by a review of literature, focused on patient-centered domains and qualitative interviews with patients with AF, encompassed AF education, common symptoms, adherence challenges, and patient activation. We established that the content was accessible to individuals with limited health or computer literacy. Relational agent content coordinated with use of the smartphone AliveCor Kardia heart rate and rhythm monitor. Participants (N=31) were recruited as a convenience cohort from ambulatory clinical sites and instructed to use the relational agent and Kardia for 30 days. We collected demographic, social, and clinical characteristics and conducted baseline and 30-day assessments of health-related quality of life (HRQoL) with the Atrial Fibrillation Effect on Quality of life (AFEQT) measure; self-reported medication adherence with the Morisky 8-item Medication Adherence Scale (MMAS-8); and patient activation with the Patient Activation Measure (PAM).ResultsParticipants (mean age 68 [SD 11]; 39% [12/31] women) used the relational agent for an average 17.8 (SD 10.0) days. The mean number of independent log-ins was 19.6 (SD 10.7), with a median of 20 times over 30 days. The mean number of Kardia uses was 26.5 (SD 5.9), and participants using Kardia were in AF for 14.3 (SD 11.0) days. AFEQT scores improved significantly from 64.5 (SD 22.9) at baseline to 76.3 (SD 19.4) units at 30 days (P<.01). We observed marginal but statistically significant improvement in self-reported medication adherence (baseline: 7.3 [SD 0.9], 30 days: 7.7 [SD 0.5]; P=.01). Assessments of acceptability identified that most of the participants found the relational agent useful, informative, and trustworthy.ConclusionsWe piloted a 30-day smartphone-based intervention that combined a relational agent with dedicated content for AF alongside Kardia heart rate and rhythm monitoring. Pilot participants had favorable improvements in HRQoL and self-reported medication adherence, as well as positive responses to the intervention. These data will guide a larger, enhanced randomized trial implementing the smartphone relational agent and the Kardia monitor system.

Project description:ObjectivesTo give an overview over the associations between self-reported health literacy and medication adherence in older adults.DesignA systematic literature review of quantitative studies published in English and German.Data sourcesMEDLINE via PubMed, CINAHL, Cochrane Library, Epistemonikos and LIVIVO were searched.Eligibility criteriaIncluded studies had to examine the associations between self-reported health literacy and medication adherence in the elderly (samples including ≥66% of ≥60 years old) and had to use a quantitative methodology and had to be written in English or German.Data extraction and synthesisAll studies were screened for inclusion criteria by two independent reviewers. A narrative synthesis was applied to analyse all included studies thematically. Quality assessment was conducted using the NIH Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies.ResultsWe found 2313 studies, of which nine publications from eight studies were included in this review. Five studies reported a majority of participants with limited health literacy, one study reported a majority of participants with adequate health literacy, and three publications from two studies only reported mean levels of health literacy. Eight publications from seven studies used self-reports to measure medication adherence, while one study used the medication possession ratio. Overall, six publications from five studies reported significantly positive associations between health literacy and medication adherence while two studies reported positive but non-significant associations between both constructs and one study reported mixed results.ConclusionIn this review, associations between self-reported health literacy and medication adherence are rather consistent, indicating positive associations between both constructs in older adults. However, concepts and measures of health literacy and medication adherence applied in the included studies still show a noteworthy amount of heterogeneity (eg, different use of cutoffs). These results reveal the need for more differentiated research in this area.Prospero registration numberCRD42019141028.

Project description:Background: Few studies have investigated the association between medication literacy and medication adherence as well as the influence of medication literacy on medication adherence in hypertensive patients. Thus, the goal of the present study was to determine the association between medication literacy and medication adherence in hypertensive patients. Methods: A cross-sectional survey was conducted between August 2016 and December 2016. Self-administered questionnaires were completed, including a self-developed and structured socio-demographic questionnaire; a self-developed, validated, and self-reported Medication Literacy Scale for Hypertensive Patients (C-MLSHP) used for medication literacy measurement; and the Chinese Version of the Morisky Medication Adherence Scale-8 (C-MMAS-8), an eight-item validated, self-report scale for adherence measurement with a total score range of 0-8. A cut-off of 6 was applied to differentiate adherence levels, including patients with an MMAS score <6 (low adherence), MMAS score = 8 (high adherence), and MMAS score ?6 and <8 (moderate adherence). In this study, hypertensive patients' medication literacy levels and adherence to antihypertensive agents were identified. Pearson correlation analysis was carried out to identify the correlation between medication literacy and adherence. Binary logistic regression analysis was performed with medication adherence as the outcome variable in order to confirm factors associated with medication adherence. Results: A total of 420 hypertensive patients, including 198 women and 222 men with a mean age of 60.6 years (SD = 12.4), were recruited. The mean score of hypertensive patients on the medication literacy scale was 24.03 (SD = 5.13). The mean scores of the four dimensions of knowledge, attitude, skill, and behavior on the medication literacy scale of this study were 6.22 ± 2.22, 5.04 ± 1.16, 4.50 ± 2.21, and 8.27 ± 1.90, respectively. Regarding medication adherence, the mean score of the C-MMAS-8 in this study was 4.82 (SD = 2.11). A total of 63.6% of patients presented with low adherence, 29.5% presented with moderate adherence, and 7.6% presented with high adherence. The Pearson correlation results showed that medication literacy (r = 0.342, P < 0.01) as a whole variable and the three dimensions of knowledge (r = 0.284, P < 0.01), attitude (r = 0.405, P < 0.01), and behavior (r = 0.237, P < 0.01) were significantly associated with medication adherence. Binary logistic regression analysis indicated that annual income [OR 1.199 (95% CI: 1.011-1.421); P = 0.037] and two dimensions of attitude [OR 2.174 (95% CI: 1.748-2.706); P = 0.000] and behavior [OR 1.139 (95% CI: 1.002-1.294); P = 0.046] in medication literacy were found to be independent predictors of medication adherence. Individuals with better attitudes and behavior literacy in medication literacy were more likely to adhere to the use of antihypertensive agents. Those who had higher annual incomes were more likely to adhere to the use of antihypertensive agents. Conclusion: The levels of medication literacy and medication adherence of hypertensive patients are suboptimal and need to be improved in China. The level of medication literacy in patients with hypertension could affect their adherence to antihypertensive drugs. It was suggested that hypertensive patients' medication adherence could be improved and driven by increasing the medication literacy level, especially in the attitude and behavior domains. Pertinent strategies that are specific to several dimensions of medication literacy should be developed and implemented in order to promote full medication literacy among hypertensive patients, thus facilitating optimal adherence and blood pressure control.

Project description:Rationale, aims, and objectivesClinical studies show equivalent health outcomes from interventional procedures and treatment with medication only for stable angina patients. However, patients may be subject to overuse or access barriers for interventional procedures and may exhibit suboptimal adherence to medications. Our objective is to evaluate whether community-level health literacy is associated with treatment selection and medication adherence patterns.MethodThe sample included Medicare fee-for-service beneficiaries (20% random sample) with stable angina in 2007-2013. We used an area-level health literacy variable because of the lack of an individual measure in claims. We measured the association between (a) area-based health literacy with treatment selection (medication only, percutaneous coronary intervention [PCI], or coronary artery bypass grafting (CABG) surgery) and (b) area-based health literacy with medication adherence. We controlled for other factors including demographics, co-morbidity burden, dual eligibility, and area deprivation index.ResultsWe identified 8300 patients of whom 8.7% lived in a low health literacy area. Overall, 56% of patients received medication only, 28% received PCI, and 15% received CABG. Patients in low health literacy areas were less likely to receive CABG (-3.5 percentage points; 95% CI, -6.8 to -0.3) than were patients in high health literacy areas, but the significance was sensitive to specification. Overall, 81.5% and 71.5% of patients were adherent to antianginals and statins, respectively. Living in low health literacy areas was associated with lower adherence to antianginals (-3.3 percentage points; 95% CI, -6.1 to -0.6) but not statins.ConclusionsLow area-based health literacy was associated with being less likely to receive CABG and lower adherence, but the differences between low and high health literacy areas were small and sensitive to model specification. Individual factors such as dual eligibility status and race/ethnicity had stronger associations with outcomes than had area-based health literacy, suggesting that this area-based measure was inadequate to account for social determinants in this study.

Project description:ObjectiveTo determine whether the use of computerized physician order entry (CPOE) and electronic medication administration records (eMAR) is associated with better quality of medication administration at medium-to-large acute-care hospitals. DATA/STUDY SETTING: A retrospective cross-sectional analysis of data from three sources: CPOE/eMAR usage from HIMSS Analytics (2010), medication quality scores from CMS Hospital Compare (2010), and hospital characteristics from CMS Acute Inpatient Prospective Payment System (2009). The analysis focused on 11 quality indicators (January-December 2009) at 2603 medium-to-large (≥ 100 beds), non-federal acute-care hospitals measuring proportion of eligible patients given (or prescribed) recommended medications for conditions, including acute myocardial infarction, heart failure, and pneumonia, and surgical care improvement. Using technology adoption by 2008 as reference, hospitals were coded: (1) eMAR-only adopters (n=986); (2) CPOE-only adopters (n=115); and (3) adopters of both technologies (n=804); with non-adopters of both technologies as reference group (n=698). Hospitals were also coded for duration of use in 2-year increments since technology adoption. Hospital characteristics, historical measure-specific patient volume, and propensity scores for technology adoption were used to control for confounding factors. The analysis was performed using a generalized linear model (logit link and binomial family).Principal findingsRelative to non-adopters of both eMAR and CPOE, the odds of adherence to all measures (except one) were higher by 14-29% for eMAR-only hospitals and by 13-38% for hospitals with both technologies, translating to a marginal increase of 0.4-2.0 percentage points. Further, each additional 2 years of technology use was associated with 6-15% higher odds of compliance on all medication measures for eMAR-only hospitals and users of both technologies.ConclusionsImplementation and duration of use of health information technologies are associated with improved adherence to medication guidelines at US hospitals. The benefits are evident for adoption of eMAR systems alone and in combination with CPOE.

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Using a tailored health information technology- driven intervention to improve health literacy and medication adherence in a Pakistani population with vascular disease (Talking Rx) - study protocol for a randomized controlled trial.

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