The relationship between anticoagulation knowledge, health literacy, and medication adherence in patients with atrial fibrillation

2017 ◽  
Vol 13 (4) ◽  
pp. e29
Author(s):  
Kehinde O. Obamiro ◽  
Chanelle Rolls ◽  
Leanne Chalmers ◽  
Luke R. Bereznicki
Keyword(s):  
Atrial Fibrillation ◽  
Medication Adherence ◽  
Health Literacy ◽  
The Relationship

scholarly journals Disparities in the use of a mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes

2015 ◽  
Vol 23 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Lyndsay A Nelson ◽  
Shelagh A Mulvaney ◽  
Tebeb Gebretsadik ◽  
Yun-Xian Ho ◽  
Kevin B Johnson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Depressive Symptoms ◽  
Medication Adherence ◽  
Health Literacy ◽  
Low Income ◽  
Mhealth Intervention ◽  
Lower Health ◽  
The Relationship ◽  
Lower Health Literacy

Abstract Objective Mobile health (mHealth) interventions may improve diabetes outcomes, but require engagement. Little is known about what factors impede engagement, so the authors examined the relationship between patient factors and engagement in an mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes (T2DM). Materials and Methods Eighty patients with T2DM participated in a 3-month mHealth intervention called MEssaging for Diabetes that leveraged a mobile communications platform. Participants received daily text messages addressing and assessing medication adherence, and weekly interactive automated calls with adherence feedback and questions for problem solving. Longitudinal repeated measures analyses assessed the relationship between participants’ baseline characteristics and the probability of engaging with texts and calls. Results On average, participants responded to 84.0% of texts and participated in 57.1% of calls. Compared to Whites, non-Whites had a 63% decreased relative odds (adjusted odds ratio [AOR] = 0.37, 95% confidence interval [CI], 0.19-0.73) of participating in calls. In addition, lower health literacy was associated with a decreased odds of participating in calls (AOR = 0.67, 95% CI, 0.46-0.99, P = .04), whereas older age ( Pnonlinear = .01) and more depressive symptoms (AOR = 0.62, 95% CI, 0.38-1.02, P = .059) trended toward a decreased odds of responding to texts. Conclusions Racial/ethnic minorities, older adults, and persons with lower health literacy or more depressive symptoms appeared to be the least engaged in a mHealth intervention. To facilitate equitable intervention impact, future research should identify and address factors interfering with mHealth engagement.

scholarly journals Disparities in access to mobile devices and e-health literacy among breast cancer survivors

2021 ◽  
Author(s):  
Zoe Moon ◽  
Mira Zuchowski ◽  
Rona Moss-Morris ◽  
Myra S. Hunter ◽  
Sam Norton ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Health Literacy ◽  
Cancer Survivors ◽  
Mobile Devices ◽  
Breast Cancer Survivors ◽  
Social Deprivation ◽  
Logistic Regressions ◽  
Widespread Access ◽  
The Relationship ◽  
Questionnaire Pack

Abstract Background The number of e-health interventions developed for breast cancer survivors continues to increase. However, issues with engagement and retention are common. This study aimed to explore e-health literacy rates and access to smartphones and tablets in a large sample of breast cancer survivors. Methods In study 1, women were recruited from outpatient breast clinics across England and Wales. Eligible women were asked to complete a questionnaire pack to assess their access to devices and their e-health literacy. Multiple regression analyses were run to assess the relationship between technology access and e-health literacy with sociodemographic variables such as age, social deprivation, and education. Study 2 presents a smaller sample recruited through social media who answered a questionnaire relating to use of mobile devices and e-health, and apps. Results Two thousand nine women participated in the study. Seventy-one percent had access to a smartphone, 54% had access to a tablet, and 20% did not have access to either device. Multiple logistic regressions showed that women who were younger, had higher levels of education, and who were from less deprived areas were more likely to have access to either device. Poorer e-health literacy was associated with being older, having less education, and not having access to a mobile device. Conclusions Whilst the results show relatively widespread access to mobile devices, there is evidence of a digital divide across some groups. Online interventions should be developed with consideration of individuals who are less e-health-literate and less technologically adept in order to increase the likelihood of engagement.

scholarly journals Correction to: The relationship between comorbidity medication adherence and health related quality of life among patients with cancer

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Dana Drzayich Antol ◽  
Adrianne Waldman Casebeer ◽  
Raya Khoury ◽  
Todd Michael ◽  
Andrew Renda ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Medication Adherence ◽  
Health Related Quality ◽  
Patients With Cancer ◽  
Related Quality ◽  
Health Related ◽  
The Relationship

An amendment to this paper has been published and can be accessed via the original article.

Motivational Interviewing to Support Oral AntiCoagulation adherence in patients with non-valvular Atrial Fibrillation (MISOAC-AF): a randomised clinical trial

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Tzikas ◽  
A Samaras ◽  
A Kartas ◽  
D Vasdeki ◽  
G Fotos ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Medication Adherence ◽  
Medical Care ◽  
Oral Anticoagulation ◽  
Intervention Group ◽  
Control Group ◽  
Motivational Intervention ◽  
Clinical Events ◽  
Secondary Outcomes

Abstract Background Oral anticoagulation (OAC) is paramount to effective thromboprophylaxis; yet adherence to OAC remains largely suboptimal in patients with atrial fibrillation (AF). Purpose We aimed to assess the impact of an educational, motivational intervention on the adherence to OAC in patients with non-valvular AF. Methods Hospitalised patients with non-valvular AF who received OAC were randomly assigned to usual medical care or a proactive intervention, comprising motivational interviewing and tailored counseling on medication adherence. The primary study outcome was adherence to OAC at 1-year, evaluated as Proportion of Days Covered (PDC) by OAC regimens and assessed through nationwide prescription registers. Secondary outcomes included the rate of persistence to OAC, gaps in treatment, proportion of VKA-takers with labile INR (defined as time to therapeutic range<70%) and clinical events. Results A total of 1009 patients were randomised, 500 in the intervention group and 509 in the control group. At 1-year follow-up, 77.2% (386/500) of patients in the intervention group had good adherence (PDC>80%), compared with 55% (280/509) in the control group (adjusted odds ratio 2.84, 95% confidence interval 2.14–3.75; p<0.001). Mean PDC±SD was 0.85±0.26 and 0.75±0.31, respectively (p<0.001). Patients that received the intervention were more likely to persist in their OAC therapy at 1 year, while usual medical care was associated with more major (≥3 months) treatment gaps [Figure]. Among 212 VKA-takers, patients in the intervention group were less likely to have labile INR compared with those in the control group [21/120 (17.1%) vs 34/92 (37.1%), OR 0.33 95% CI 1.15–0.72, p=0.005]. Clinical events over a median follow-up period of 2 years occurred at a numerically lower, yet non-significant, rate in the intervention group [Table]. Conclusions In patients receiving OAC therapy for non-valvular AF, a motivational intervention significantly improved patterns of medication adherence, without significantly affecting clinical outcomes. Primary and secondary outcomes Funding Acknowledgement Type of funding source: None

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