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Patient Perceptions and Familiarity With Medical Therapy for Heart Failure.

ABSTRACT: Importance:There are major gaps in use of guideline-directed medical therapy (GDMT) for patients with heart failure (HF). Patient-reported data outlining patient goals and preferences associated with GDMT are not available. Objective:To survey patients with chronic HF to better understand their experiences and perceptions of living with HF, including their familiarity and concerns with important GDMT therapies. Design, Setting, and Participants:Study participants were recruited from the GfK KnowledgePanel, a probability-sampled online panel representative of the US adult population. English-speaking adults who met the following criteria were eligible if they were (1) previously told by a physician that they had HF; (2) currently taking medications for HF; and (3) had no history of left ventricular assist device or cardiac transplant. Data were collected between October and November 2018. Analysis began in December 2018. Main Outcomes and Measures:The survey included 4 primary domains: (1) relative importance of disease-related goals, (2) challenges associated with living with HF, (3) decision-making process associated with HF medication use, and (4) awareness and concerns about available HF medications. Results:Of 30?707 KnowledgePanel members who received the initial survey, 15?091 (49.1%) completed the screening questions, 440 were eligible and began the survey, and 429 completed the survey. The median (interquartile range) age was 68 (60-75) years and most were white (320 [74.6%]), male (304 [70.9%]), and had at least a high school education (409 [95.3%]). Most survey responders reported familiarity with ?-blockers, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, and diuretics. Overall, 107 (24.9%) reported familiarity with angiotensin receptor-neprilysin inhibitors or mineralocorticoid receptor antagonists. Overall, 136 patients (42.5%) reported have safety concerns regarding angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, and 133 (38.5%) regarding ?-blockers, 35 (37.9%) regarding mineralocorticoid receptor antagonists, 38 (36.5%) regarding angiotensin receptor-neprilysin inhibitors, and 123 (37.2%) regarding diuretics. Between 27.7% (n = 26) and 38.5% (n = 136) reported concerns regarding the effectiveness of ?-blockers, angiotensin receptor-neprilysin inhibitors, mineralocorticoid receptor antagonists, or diuretics, while 41% (n = 132) were concerned with the effectiveness of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers. Conclusions and Relevance:In this survey study, many patients were not familiar with GDMT for HF, with familiarity lowest for angiotensin receptor-neprilysin inhibitors and mineralocorticoid receptor antagonists. Among patients not familiar with these therapies, significant proportions questioned their effectiveness and/or safety. Enhanced patient education and shared decision-making support may be effective strategies to improve the uptake of GDMT for HF in US clinical practice.

SUBMITTER: Samsky MD

PROVIDER: S-EPMC6865328 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Patient Perceptions and Familiarity With Medical Therapy for Heart Failure.

Samsky Marc D MD Lin Li L Greene Stephen J SJ Lippmann Steven J SJ Peterson Pamela N PN Heidenreich Paul A PA Laskey Warren K WK Yancy Clyde W CW Greiner Melissa A MA Hardy N Chantelle NC Kavati Abhishek A Park Siyeon S Mentz Robert J RJ Fonarow Gregg C GC O'Brien Emily C EC

JAMA cardiology 20200301 3

<h4>Importance</h4>There are major gaps in use of guideline-directed medical therapy (GDMT) for patients with heart failure (HF). Patient-reported data outlining patient goals and preferences associated with GDMT are not available.<h4>Objective</h4>To survey patients with chronic HF to better understand their experiences and perceptions of living with HF, including their familiarity and concerns with important GDMT therapies.<h4>Design, setting, and participants</h4>Study participants were recru ...[more]

PMID: 31734700

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Project description:Introduction/backgroundPatients with heart failure and reduced ejection fraction (HFrEF) are consistently underprescribed guideline-directed medications. Although many barriers to prescribing are known, identification of these barriers has relied on traditional a priori hypotheses or qualitative methods. Machine learning can overcome many limitations of traditional methods to capture complex relationships in data and lead to a more comprehensive understanding of the underpinnings driving underprescribing. Here, we used machine learning methods and routinely available electronic health record data to identify predictors of prescribing.MethodsWe evaluated the predictive performance of machine learning algorithms to predict prescription of four types of medications for adults with HFrEF: angiotensin converting enzyme inhibitor/angiotensin receptor blocker (ACE/ARB), angiotensin receptor-neprilysin inhibitor (ARNI), evidence-based beta blocker (BB), or mineralocorticoid receptor antagonist (MRA). The models with the best predictive performance were used to identify the top 20 characteristics associated with prescribing each medication type. Shapley values were used to provide insight into the importance and direction of the predictor relationships with medication prescribing.ResultsFor 3,832 patients meeting the inclusion criteria, 70% were prescribed an ACE/ARB, 8% an ARNI, 75% a BB, and 40% an MRA. The best-predicting model for each medication type was a random forest (area under the curve: 0.788-0.821; Brier score: 0.063-0.185). Across all medications, top predictors of prescribing included prescription of other evidence-based medications and younger age. Unique to prescribing an ARNI, the top predictors included lack of diagnoses of chronic kidney disease, chronic obstructive pulmonary disease, or hypotension, as well as being in a relationship, nontobacco use, and alcohol use.Discussion/conclusionsWe identified multiple predictors of prescribing for HFrEF medications that are being used to strategically design interventions to address barriers to prescribing and to inform further investigations. The machine learning approach used in this study to identify predictors of suboptimal prescribing can also be used by other health systems to identify and address locally relevant gaps and solutions to prescribing.

Project description:BACKGROUND:Guidelines recommend that patients with heart failure with reduced ejection fraction (HFrEF) have medical therapy titrated to target doses derived from clinical trials, as tolerated. The degree to which titration occurs in contemporary U.S. practice is unknown. OBJECTIVES:This study sought to characterize longitudinal titration of HFrEF medical therapy in clinical practice and to identify associated factors and reasons for medication changes. METHODS:Among 2,588 U.S. outpatients with chronic HFrEF in the CHAMP-HF (Change the Management of Patients with Heart Failure) registry with complete medication data and no contraindications to medical therapy, use and dose of angiotensin-converting enzyme inhibitor (ACEI)/angiotensin II receptor blocker (ARB), angiotensin receptor-neprilysin inhibitor (ARNI), beta-blocker, and mineralocorticoid receptor antagonist (MRA) were examined at baseline and at 12-month follow-up. RESULTS:At baseline, 658 (25%), 525 (20%), 287 (11%), and 45 (2%) patients were receiving target doses of MRA, beta-blocker, ACEI/ARB, and ARNI therapy, respectively. At 12 months, proportions of patients with medication initiation or dose increase were 6% for MRA, 10% for beta-blocker, 7% for ACEI/ARB, and 10% for ARNI; corresponding proportions with discontinuation or dose decrease were 4%, 7%, 11%, and 3%, respectively. Over 12 months, <1% of patients were simultaneously treated with target doses of ACEI/ARB/ARNI, beta-blocker, and MRA. In multivariate analysis, across the classes of medications, multiple patient characteristics were associated with a higher likelihood of initiation or dose increase (e.g., previous HF hospitalization, higher blood pressure, lower ejection fraction) and discontinuation or dose decrease (e.g., previous HF hospitalization, impaired quality of life, more severe functional class). Medical reasons were the most common reasons for discontinuations and dose decreases of each therapy, but the relative contributions from patient preference, health team, and systems-based reasons varied by medication. CONCLUSIONS:In this contemporary U.S. registry, most eligible HFrEF patients did not receive target doses of medical therapy at any point during follow-up, and few patients had doses increased over time. Although most patients had no alterations in medical therapy, multiple clinical factors were independently associated with medication changes. Further quality improvement efforts are urgently needed to improve guideline-directed medication titration for HFrEF.

Project description:BackgroundUnderprescribing of guideline-directed medical therapy (GDMT) for heart failure (HF) persists.ObjectivesThe purpose of this study was to assess polypharmacy as a barrier to GDMT.MethodsWe examined participants hospitalized for HF with reduced ejection fraction and HF with mildly reduced ejection fraction between 2003 and 2017 from the Reasons for Geographic and Racial Differences in Stroke study. Participants were stratified by admission medication count-0 to 4, 5 to 9, and ≥10 medications. We examined GDMT use at admission, GDMT contraindications, and initiation of eligible indicated GDMT by medication count. We conducted a multivariable Poisson regression with robust standard errors to examine the association between medication count and GDMT initiation. GDMT included agents for HF with reduced ejection fraction/HF with mildly reduced ejection fraction, antiplatelet agents and statins for coronary artery disease, and anticoagulants for atrial fibrillation.ResultsAmong 545 participants with HF, 34% were not taking a beta-blocker, 39% were not taking an angiotensin-converting enzyme inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitor, or hydralazine-isosorbide dinitrate, and 90% were not taking a mineralocorticoid receptor antagonist at admission; among participants with coronary artery disease, 36% were not taking an antiplatelet agent, and 38% were not taking a statin; and among participants with atrial fibrillation, 49% were not taking an anticoagulant. Polypharmacy was inversely associated with initiation of at least one indicated medication (5-9 medications: relative risk [RR]: 0.67; 95% CI: 0.56-0.82; P < 0.001; ≥10 medications: RR: 0.50; 95% CI: 0.39-0.64; P < 0.001) and initiation of at least half of indicated medications (5-9 medications: RR: 0.64; 95% CI: 0.51-0.81; P < 0.001; ≥10 medications: RR: 0.50; 95% CI: 0.38-0.67; P < 0.001).ConclusionsPolypharmacy is an important barrier to GDMT.

Dataset Information

Patient Perceptions and Familiarity With Medical Therapy for Heart Failure.

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Patient Perceptions and Familiarity With Medical Therapy for Heart Failure.

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