Predictors of Medication Adherence Using a Multidimensional Adherence Model in Patients With Heart Failure

Wu, Jia Rong; Moser, Debra K.; Chung, Misook L.; Lennie, Terry A.

doi:10.1016/j.cardfail.2008.02.011

Cited by 171 publications

(137 citation statements)

References 106 publications

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“…Factors that may be related to financial need such as insurance coverage and place of residence were also not associated with readmission [9]. On the other hand, self-described inability to make ends meet was found to contribute to lower rates of adherence to heart failure medications [53].…”

Section: Financial Meansmentioning

confidence: 90%

“…Patients with poor social support as measured by the lack of close family members, social clubs, support groups or prayer organizations are three times more likely to be readmitted to the hospital [52]. In other studies, poor social support was found to negatively affect adherence [53] and outweigh even depression with regards to increasing mortality in heart failure [54].…”

Section: Neuropsychological Statusmentioning

confidence: 94%

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Hospital readmission in heart failure, a novel analysis of a longstanding problem

2014

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Acute decompensated heart failure is a significant source of morbidity and mortality in the USA. It is the most common reason for admission in the Medicare population and the greatest cause of hospital readmission in both medical and surgical patients. As many of these readmissions are considered preventable, providers and hospital systems are seeking novel strategies to reduce rehospitalization. Several specific interventions have been shown to decrease readmission for heart failure. However, these are typically narrow in scope, focusing on one aspect of patient care and providing a one-size-fits-all approach. We review the data and propose integrating some of these interventions into a comprehensive patient-centered model that is organized into six categories: quality of medical management, early reassessment, health literacy, neuropsychological status, financial means and functional status. By screening for deficiencies in each of these categories, providers and hospital systems can use resources more efficiently to make targeted interventions to improve health outcomes and mitigate readmissions.

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Section: Financial Meansmentioning

confidence: 90%

Section: Neuropsychological Statusmentioning

confidence: 94%

Hospital readmission in heart failure, a novel analysis of a longstanding problem

2014

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“…2 Support from partners of patients with chronic heart failure has proven to be beneficial with regard to the patient's quality of life and survival 11,12 but also in terms of patient self-care 13 and patient adherence to therapy. 14 However, burdensome caregiving can cause impaired mental and physical health and even untimely death in partners or other caregivers. 15,16 Ågren et al 6 specifically addressed the needs and experiences of spouses of patients with complications of HF after cardiac surgery.…”

Section: Surgical (And Percutaneous) Coronary Revascularization Is Inmentioning

confidence: 99%

Caregiving tasks and caregiver burden; effects of an psycho-educational intervention in partners of patients with post-operative heart failure

et al. 2015

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“…We used a meta-analysis methodology to minimize these issues. We conducted a literature review to obtain papers with adherence correlation values and identified a representative sample of 14 papers (Wagner et al, 2011;Holzemer et al, 1999;Gifford et al, 2000;Carrico et al, 2011;Schneider, Kaplan, Greenfield, Li, & Wilson, 2004;Ammassari et al, 2001;Simoni, Frick, & Huang, 2006;Bottonari, Safren, McQuaid, Hsiao, & Roberts, 2010;Grant et al, 2004;Johnson, Elliott, Neilands, Morin, & Chesney, 2006;Wu, Moser, Chung, & Lennie, 2008;Maeda, Shen, Schwartz, Farrell, & Mallon, 2012;Hansen et al, 2009;Stawski, Silwinski, Almeida, & Smyth, 2008). We reserved a statistically rigorous metaanalysis for later studies.…”

Section: Formulationmentioning

confidence: 99%

Modeling Hepatitis C treatment policy.

Kuypers¹,

L’Ambert²,

Moore³

et al. 2013

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Chronic infection with Hepatitis C virus (HCV) results in cirrhosis, liver cancer and death. As the nation's largest provider of care for HCV, US Veterans Health Administration (VHA) invests extensive resources in the diagnosis and treatment of the disease. This report documents modeling and analysis of HCV treatment dynamics performed for the VHA aimed at improving service delivery efficiency. System dynamics modeling of disease treatment demonstrated the benefits of early detection and the role of comorbidities in disease progress and patient mortality. Preliminary modeling showed that adherence to rigorous treatment protocols is a primary determinant of treatment success. In depth meta-analysis revealed correlations of adherence and various psycho-social factors. This initial meta-analysis indicates areas where substantial improvement in patient outcomes can potentially result from VA programs which incorporate these factors into their design. 5 CONTENTS

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Predictors of Medication Adherence Using a Multidimensional Adherence Model in Patients With Heart Failure

Cited by 171 publications

References 106 publications

Hospital readmission in heart failure, a novel analysis of a longstanding problem

Hospital readmission in heart failure, a novel analysis of a longstanding problem

Caregiving tasks and caregiver burden; effects of an psycho-educational intervention in partners of patients with post-operative heart failure

Modeling Hepatitis C treatment policy.

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