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Factors associated with medication adherence among heart failure patients and their caregivers.

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TLDR
Enthusiasm from patients and caregivers in new technologies to aid in adherence was tempered by potential burden, and should be considered when designing interventions to promote adherence.
Abstract
Background: Reducing the rate of rehospitalization among heart failure patients is a major public health challenge; medication non-adherence is a crucial factor shown to trigger rehospitalizations. Objective: To collect pilot data to inform the design of educational interventions targeted to heart failure patients and their caregivers to improve medication adherence. Methods: Heart failure patients with an implantable cardioverter defibrillator and their family caregivers were recruited from an outpatient electrophysiology clinic at an urban university medical center (N = 10 caregiver and patient dyads, 70% race/ethnic minority, mean patient age = 63 years). Quantitative and qualitative research methods were utilized.  Semi-structured individual interviews were conducted to assess patients’ and caregivers’ individual interest in, and access to, new medication adherence technologies.  Patient adherence to medications, medication self-efficacy, and depression were assessed by validated questionnaires.  Medication adherence and hospitalization rates were assessed among patients at 30-days post-clinic visit by mailed survey. Results: At baseline, 60% of patients reported sometimes forgetting to take their medications.  The most common factors associated with non-adherence included forgetfulness (50%), having other medications to take (20%), and being symptom-free (20%).  At 30-day follow-up, half of patients reported non-adherence to their medications, and 1 in 10 reported being hospitalized within the past month. Dyads reported widespread access to technology, with the majority of dyads showing interest in mobile applications and text messaging.  There was less acceptance of medication-dispensing technologies; caregivers and patients were concerned about added burden. Conclusions: The majority of etiologies of medication non-adherence were subject to intervention. Enthusiasm from patients and caregivers in new technologies to aid in adherence was tempered by potential burden, and should be considered when designing interventions to promote adherence.

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Medication management activities performed by informal caregivers of older adults.

TL;DR: In informal caregivers play a vital role in ensuring safe and appropriate medication use by older adults, and should be an important component of interventions that aim to improve medication use among older adults.
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Predicting adherence of patients with HF through machine learning techniques.

TL;DR: The aim of this work is to predict the adherence of patients with HF, through the application of machine learning techniques, and aims to classify a patient not only as medication adherent or not, but also in terms of medication, nutrition and physical activity (global adherent).
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Improving medication adherence of patients with chronic heart failure: challenges and solutions

TL;DR: This work is distributed under the terms of the License http://creativecommons.org/licenses/by-nc/3.0/.
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A qualitative secondary data analysis of intentional and unintentional medication nonadherence in adults with chronic heart failure

TL;DR: This secondary data analysis of qualitative data explored narrative accounts about medication adherence from four previous studies to explore factors contributing to intentional and unintentional medication nonadherence in adults with chronic heart failure and four interconnected patterns of behavior emerged.
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TL;DR: Strategies to assess and enhance medication adherence (or compliance) are reviewed, to help patients adhere to prescribed treatment regimens and avoid stigmatization.
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Concurrent and predictive validity of a self reported measure of medication adherence

TL;DR: The psychometric properties and predictive validity of a structured four-item self-reported adherence measure (alpha reliability = 0.61) are tested, which can be easily integrated into the medical visit and address barriers to medication-taking.