Objectively Measured, but Not Self-Reported, Medication Adherence Independently Predicts Event-Free Survival in Patients With Heart Failure

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

doi:10.1016/j.cardfail.2007.11.005

Cited by 135 publications

(164 citation statements)

References 52 publications

Supporting

Mentioning

152

Contrasting

Unclassified

Order By: Relevance

“…With patient or family assistance, hospital discharge and other medical records were obtained from identified sources of care outside of the study‐site healthcare systems. We have >20 years of experience collecting these data and have successfully obtained hospitalization data on all rural patients in our current and previous studies 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41. All‐cause mortality data (date and cause of death) were collected for 1 year from baseline by a combination of medical record review, electronic clinical record review, interviews with patients’ healthcare providers and family, and public death record review 30, 31, 40, 41, 42, 43…”

Section: Methodsmentioning

confidence: 99%

Micronutrient Deficiency Independently Predicts Time to Event in Patients With Heart Failure

Lennie

Andreae

Rayens

et al. 2018

JAHA

Self Cite

View full text Add to dashboard Cite

BackgroundDietary micronutrient deficiencies have been shown to predict event‐free survival in other countries but have not been examined in patients with heart failure living in the United States. The purpose of this study was to determine whether number of dietary micronutrient deficiencies in patients with heart failure was associated with shorter event‐free survival, defined as a combined end point of all‐cause hospitalization and death.Methods and ResultsFour‐day food diaries were collected from 246 patients with heart failure (age: 61.5±12 years; 67% male; 73% white; 45% New York Heart Association [NYHA] class III/IV) and analyzed using Nutrition Data Systems for Research. Micronutrient deficiencies were determined according to methods recommended by the Institute of Medicine. Patients were followed for 1 year to collect data on all‐cause hospitalization or death. Patients were divided according to number of dietary micronutrient deficiencies at a cut point of ≥7 for the high deficiency category versus <7 for the no to moderate deficiency category. In the full sample, 29.8% of patients experienced hospitalization or death during the year, including 44.3% in the high‐deficiency group and 25.1% in the no/moderate group. The difference in survival distribution was significant (log rank, P=0.0065). In a Cox regression, micronutrient deficiency category predicted time to event with depression, NYHA classification, comorbidity burden, body mass index, calorie and sodium intake, and prescribed angiotensin‐converting enzyme inhibitors, diuretics, or β‐blockers included as covariates.ConclusionsThis study provides additional convincing evidence that diet quality of patients with heart failure plays an important role in heart failure outcomes.

show abstract

Section: Methodsmentioning

confidence: 99%

Micronutrient Deficiency Independently Predicts Time to Event in Patients With Heart Failure

Lennie

Andreae

Rayens

et al. 2018

JAHA

Self Cite

View full text Add to dashboard Cite

show abstract

“…4 However, the burden of medications in patients with HF is largely unknown. A study of 16 patients with HF found that patients took an average of 11.1 medications daily.…”

Section: Burden Of Medicationsmentioning

confidence: 99%

“…[3][4][5][6][7][8][9][10] Further, previous studies have frequently identified patients with HF using administrative data alone, an approach known to have poor validity in some settings. 11 In addition, the methodology used to assess medication adherence may be unreliable because use of prescription claims data to assess adherence may miss prescriptions that are not charged to the insurance provider, and self-reported adherence assessments have shown poor correlation with electronic-based adherence.…”

mentioning

confidence: 99%

Medication Adherence Among Community-Dwelling Patients With Heart Failure

Dunlay

Eveleth

Shah

et al. 2011

Mayo Clinic Proceedings

View full text Add to dashboard Cite

“…Objective measures, including measurement of clinical outcomes, dose counts, pharmacy records, electronic monitoring of medication administration (e.g. the Medication Event Monitoring System, MEMS) and drug concentrations [18][19][20][21], seemingly provide the best measure of a patient's medication-taking behaviour in many contexts [22][23][24][25][26][27]. It is important to recognize that, while objective, most of these measures have drawbacks.…”

Section: Introductionmentioning

confidence: 99%

What are validated self-report adherence scales really measuring?: a systematic review

Nguyen

Caze

Cottrell

2014

Br J Clin Pharmacol

334

304

View full text Add to dashboard Cite

AIMSMedication non-adherence is a significant health problem. There are numerous methods for measuring adherence, but no single method performs well on all criteria. The purpose of this systematic review is to (i) identify self-report medication adherence scales that have been correlated with comparison measures of medication-taking behaviour, (ii) assess how these scales measure adherence and (iii) explore how these adherence scales have been validated. METHODSCinahl and PubMed databases were used to search articles written in English on the development or validation of medication adherence scales dating to August 2012. The search terms used were medication adherence, medication non-adherence, medication compliance and names of each scale. Data such as barriers identified and validation comparison measures were extracted and compared. RESULTSSixty articles were included in the review, which consisted of 43 adherence scales. Adherence scales include items that either elicit information regarding the patient's medication-taking behaviour and/or attempts to identify barriers to good medication-taking behaviour or beliefs associated with adherence. The validation strategies employed depended on whether the focus of the scale was to measure medication-taking behaviour or identify barriers or beliefs. CONCLUSIONSSupporting patients to be adherent requires information on their medication-taking behaviour, barriers to adherence and beliefs about medicines. Adherence scales have the potential to explore these aspects of adherence, but currently there has been a greater focus on measuring medication-taking behaviour. Selecting the 'right' adherence scale(s) requires consideration of what needs to be measured and how (and in whom) the scale has been validated.

show abstract

Objectively Measured, but Not Self-Reported, Medication Adherence Independently Predicts Event-Free Survival in Patients With Heart Failure

Abstract: Dose-count and dose-day predicted event-free survival. Neither dose-time nor self-reported adherence predicted outcomes. Health care providers should assess specific behaviors related to medication taking rather than a global patient self-assessment of patient adherence.

Cited by 135 publications

References 52 publications

Micronutrient Deficiency Independently Predicts Time to Event in Patients With Heart Failure

Micronutrient Deficiency Independently Predicts Time to Event in Patients With Heart Failure

Medication Adherence Among Community-Dwelling Patients With Heart Failure

What are validated self-report adherence scales really measuring?: a systematic review

Contact Info

Product

Resources

About