Electronically monitored medication adherence predicts hospitalization in heart failure patients

Using a Semiautomated Procedure (CleanADHdata.R Script) to Clean Electronic Adherence Monitoring Data: Tutorial

BACKGROUND

Patient adherence to medications can be assessed using interactive digital health technologies such as electronic monitors (EMs). Changes in treatment regimens and deviations from EM use over time must be characterized to establish the actual level of medication adherence.

OBJECTIVE

We developed the computer script CleanADHdata.R to clean raw EM adherence data, and this tutorial is a guide for users.

METHODS

In addition to raw EM data, we collected adherence start and stop monitoring dates and identified the prescribed regimens, the expected number of EM openings per day based on the prescribed regimen, EM use deviations, and patients' demographic data. The script formats the data longitudinally and calculates each day's medication implementation.

RESULTS

We provided a simulated data set for 10 patients, for which 15 EMs were used over a median period of 187 (IQR 135-342) days. The median patient implementation before and after EM raw data cleaning was 83.3% (IQR 71.5%-93.9%) and 97.3% (IQR 95.8%-97.6%), respectively (Δ+14%). This difference is substantial enough to consider EM data cleaning to be capable of avoiding data misinterpretation and providing a cleaned data set for the adherence analysis in terms of implementation and persistence.

CONCLUSIONS

The CleanADHdata.R script is a semiautomated procedure that increases standardization and reproducibility. This script has broader applicability within the realm of digital health, as it can be used to clean adherence data collected with diverse digital technologies.

Actual status of pre-discharge knowledge of hospitalised patients with heart failure and measurement tools to assess said knowledge: A scoping review

BACKGROUND

Heart failure (HF) patients have high readmission rates and require continuous adherence to HF self-care. Lack of knowledge about HF has been identified as a factor that contributes to poor adherence.

OBJECTIVES

To clarify and organise existing data about measurement tools used to assess pre-discharge knowledge of hospitalised HF patients, the content and level of pre-discharge knowledge, factors associated with the level of knowledge, and the effect of knowledge levels on patients' outcomes.

METHODS

Four electronic databases were searched for articles that described the content and level of knowledge of pre-discharge HF patients.

RESULTS

Thirty-three studies were included in this review. Twenty-two measurement tools were identified used for pre-discharge knowledge assessment. 'Heart failure pathophysiology and treatment' and 'salt and fluid management' were the most common knowledge content measured. The level of knowledge of 'the nature, definition, and causes of symptoms of heart failure' and 'fluid and medication management' tended to be low. High levels of knowledge were found for 'higher educational background', 'previous heart failure hospitalisation', and 'previous heart failure education', while low levels were found for: 'high number of medications' and 'first heart failure hospitalisation'. The level of HF knowledge implies an impact on compliance and self-care.

CONCLUSION

HF patients have low level of knowledge of the nature and causes of HF and fluid management prior to hospital discharge. Some of the variables that influenced the level of patient knowledge were educational background, number of medications taken, and disease duration.

Medication Adherence and Health Literacy in Patients with Heart Failure: A Cross-Sectional Survey in Iran

Background:

Heart failure is a costly condition with high morbidity and mortality rates in low- and middle-income countries. Nonadherence to prescribed therapies can lead to severe problems such as poorer health outcomes, higher health care expenditures, increased hospitalizations, and even higher mortality rates in patients with advanced heart disease.

Objective:

The aim of the present study is to investigate medication adherence and the association between medication adherence and health literacy in Iranian patients with heart failure.

Methods:

This study was conducted in the heart failure outpatient clinic of Shahid Rajaee Cardiovascular, Medical, and Research Center in Tehran, Iran. Medical records and validated questionnaires were used to collect the necessary information on the survey variables, including sociodemographic characteristics, medication adherence, and health literacy, for a total of 250 patients with heart failure. Stepwise logistic regression analysis was performed to identify the variables that independently and significantly predicted medication nonadherence.

Key Results:

The results showed that most patients with heart failure had low medication adherence. Some factors, including gender, health literacy, and duration of illness, were associated with adherence. The study results showed a positive association between higher health literacy and better medication adherence.

Conclusion:

In view of the results, further studies on heart failure are needed to investigate other factors related to medication adherence and health literacy level to achieve better disease management and improve patients' treatment adherence. [HLRP: Health Literacy Research and Practice. 2022;6(3):e191–e199.]

Plain Language Summary:

This study investigated the relationship between medication adherence and health literacy in Iranian patients with heart failure. The results showed that most patients had inadequate health literacy. Moreover, it showed a significant and positive relationship between health literacy and medication adherence.

Exploring risk factors of short-term readmission in heart failure patients: A cohort study

BACKGROUND

The risk of all-cause mortality in patients with heart failure (HF) has been studied previously. Readmission risk of HF patients was rarely explored. Thus, we aimed to explore early warning factors that may influence short-term readmission of HF patients.

METHODS

The data of this study came from an HF database in China. It was a retrospective single-center observational study that collected characteristic data on Chinese HF patients by integrating electronic medical records and follow-up outcome data. Eventually, 1,727 patients with HF were finally included in our study.

RESULTS

In our study, the proportion of HF patients with New York Heart Association (NYHA) class II, III, and IV HF were 17.20%, 52.69%, and 30.11%, respectively. The proportion of patients with readmission within 6 months and readmission within 3 months was 38.33% and 24.20%, respectively. Multivariate logistic regression showed that NYHA class (p _III = 0.028, p _IV < 0.001), diabetes (p = 0.002), Cr (p = 0.003), and RDW-SD (p = 0.039) were risk factors for readmission within 6 months of HF patients. NYHA class (p _III = 0.038, p _IV < 0.001), CCI (p = 0.033), Cr (p = 0.012), UA (p = 0.042), and Na (p = 0.026) were risk factors for readmission within 3 months of HF patients.

CONCLUSIONS

Our study implied risk factors of short-term readmission risk in patients with HF, which may provide policy guidance for the prognosis of patients with HF.

Assisted Living and Medication Adherence in Super-Aged Patients With Heart Failure in the Japanese population

ABSTRACT

Poor adherence to medication in patients with heart failure (HF) is associated with poor clinical outcomes. Although social support has been reported to improve medication adherence in patients with HF, the detailed underlying mechanism of this association is unclear. This study investigated appropriate social support types to ensure medication adherence, as well as patient characteristics that benefit from such social support in patients with HF. This was a retrospective observational study investigating the association of social support with medication adherence in 824 patients with HF who were registered in a prospective multicenter database. First, we analyzed the association between social support types and poor medication adherence leading to hospitalization. An interaction analysis was performed to detect patients' characteristics that benefited most from social support in terms of medical adherence. Fifty (6.1%) patients were hospitalized for poor adherence to medications. Multivariable analysis revealed that not receiving assisted living, which was defined as having supporting individuals at least once a week, was independently associated with poor medication adherence-related hospitalization. An interaction analysis revealed that patients with dementia benefited from assisted living significantly, while male patients or current smokers did not. Summarily, assisted living at least once a week was appropriate for improving medication adherence for patients with HF and was particularly effective for patients with dementia. Performed in a super-aging region in Japan, this study may also suggest the relevance of social support in preventing HF exacerbation in other developed countries that will experience an aging society in the near future.

A Review of Current Approaches to Defining and Valuing Innovation in Health Technology Assessment

OBJECTIVES

The growing focus on the value of new drugs for patients and society has led to a more differentiated notion of innovation in the context of pharmaceutical products. The goal of this article is to provide an overview of the current debate about the definition and assessment of innovation and how innovation is considered in reimbursement and pricing decisions.

METHODS

To compile the relevant literature, we followed a 2-step approach. First, we searched for peer-reviewed literature that deals with the definition of pharmaceutical innovation. Second, we reviewed health technology assessment (HTA) guidelines of 11 selected countries (Australia, Belgium, Canada, England, France, Germany, Italy, Japan, Norway, Sweden, and The Netherlands) regarding aspects of innovation that are currently considered as relevant by the respective HTA bodies.

RESULTS

All countries in our sample use 1 of 2 types of reward mechanism for novel drugs that they consider provide some sort of benefit. Generally, the focus is on the therapeutic benefit of a drug, whereas, depending on the exact arrangement, other aspects can also be taken into account. A reduction in side effects and aspects of treatment convenience can be invoked in some of the countries. Mostly, however, they are not considered unless they are already captured in the clinical outcomes used to measure the therapeutic benefit.

CONCLUSION

Our review shows that although the health economic literature discusses a range of aspects on how innovation may generate value even without providing an immediate added therapeutic benefit (or on top of it), these are only selectively considered in the reviewed HTA guidelines. For most part, only the added therapeutic value is crucial when it comes to pricing and reimbursement decisions.

A qualitative study exploring the perceptions and motivations of patients with heart failure who transitioned from non-adherence to adherence

BACKGROUND

Management of heart failure (HF) involves complex self-care recommendations. Many patients have difficulty adhering to these recommendations, and mechanisms that support behavior change are poorly understood.

OBJECTIVE

The objective of this study was to explore the perceptions and motivations of individuals with HF who became adherent to HF treatment recommendations after being non-adherent.

METHODS

This was a qualitative descriptive study. Participants were recruited from cardiology clinics and completed a semi-structured interview on their experiences and motivations for self-care behavior change. Data was analyzed using thematic analysis. The sample size (n = 8) was sufficient to achieve saturation.

RESULTS

Five themes were identified: experiencing mortality, optimism and hope, making connections between behavior and health, self-efficacy, and the role of the clinician. The temporal chronological sequence of these themes across participants varied.

CONCLUSIONS

This study adds to our current understanding of HF self-care by suggesting mechanisms that may enhance existing self-care interventions, and demonstrating the important role of the clinician.

Random forest machine learning algorithm predicts virologic outcomes among HIV infected adults in Lausanne, Switzerland using electronically monitored combined antiretroviral treatment adherence

Machine Learning (ML) can improve the analysis of complex and interrelated factors that place adherent people at risk of viral rebound. Our aim was to build ML model to predict RNA viral rebound from medication adherence and clinical data. Patients were followed up at the Swiss interprofessional medication adherence program (IMAP). Sociodemographic and clinical variables were retrieved from the Swiss HIV Cohort Study (SHCS). Daily electronic medication adherence between 2008-2016 were analyzed retrospectively. Predictor variables included: RNA viral load (VL), CD4 count, duration of ART, and adherence. Random Forest, was used with 10 fold cross validation to predict the RNA class for each data observation. Classification accuracy metrics were calculated for each of the 10-fold cross validation holdout datasets. The values for each range from 0 to 1 (better accuracy). 383 HIV+ patients, 56% male, 52% white, median (Q1, Q3): age 43 (36, 50), duration of electronic monitoring of adherence 564 (200, 1333) days, CD4 count 406 (209, 533) cells/mm3, time since HIV diagnosis was 8.4 (4, 13.5) years, were included. Average model classification accuracy metrics (AUC and F1) for RNA VL were 0.6465 and 0.7772, respectively. In conclusion, combining adherence with other clinical predictors improve predictions of RNA.

Predictive models of medication non-adherence risks of patients with T2D based on multiple machine learning algorithms

OBJECTIVE

Medication adherence plays a key role in type 2 diabetes (T2D) care. Identifying patients with high risks of non-compliance helps individualized management, especially for China, where medical resources are relatively insufficient. However, models with good predictive capabilities have not been studied. This study aims to assess multiple machine learning algorithms and screen out a model that can be used to predict patients' non-adherence risks.

METHODS

A real-world registration study was conducted at Sichuan Provincial People's Hospital from 1 April 2018 to 30 March 2019. Data of patients with T2D on demographics, disease and treatment, diet and exercise, mental status, and treatment adherence were obtained by face-to-face questionnaires. The medication possession ratio was used to evaluate patients' medication adherence status. Fourteen machine learning algorithms were applied for modeling, including Bayesian network, Neural Net, support vector machine, and so on, and balanced sampling, data imputation, binning, and methods of feature selection were evaluated by the area under the receiver operating characteristic curve (AUC). We use two-way cross-validation to ensure the accuracy of model evaluation, and we performed a posteriori test on the sample size based on the trend of AUC as the sample size increase.

RESULTS

A total of 401 patients out of 630 candidates were investigated, of which 85 were evaluated as poor adherence (21.20%). A total of 16 variables were selected as potential variables for modeling, and 300 models were built based on 30 machine learning algorithms. Among these algorithms, the AUC of the best capable one was 0.866±0.082. Imputing, oversampling and larger sample size will help improve predictive ability.

CONCLUSIONS

An accurate and sensitive adherence prediction model based on real-world registration data was established after evaluating data filling, balanced sampling, and so on, which may provide a technical tool for individualized diabetes care.

Association between long-term adherence to class-I recommended medications and risk for potentially preventable heart failure hospitalizations among younger adults

Background

Five guideline-recommended medication categories are available to treat patients who have heart failure (HF) with reduced ejection fraction. However, adherence to these medications is often suboptimal, which places patients at increased risk for poor health outcomes, including hospitalization. We aimed to examine the association between adherence to these medications and potentially preventable HF hospitalizations among younger insured adults with newly diagnosed HF.

Methods and results

Using the 2008–2012 IBM MarketScan Commercial database, we followed 26,439 individuals aged 18–64 years with newly diagnosed HF and calculated their adherence (using the proportion of days covered (PDC) algorithm) to the five guideline-recommended medication categories: angiotensin-converting enzyme inhibitors/angiotensin-receptor blockers; beta blockers; aldosterone receptor antagonists; hydralazine; and isosorbide dinitrate. We determined the association between PDC and long-term preventable HF hospitalizations (observation years 3–5) as defined by the United States (U.S.) Agency for Healthcare Research and Quality. Overall, 49.0% of enrollees had good adherence (PDC≥80%), which was more common among enrollees who were older, male, residing in higher income counties, initially diagnosed with HF in an outpatient setting, and who filled prescriptions for fewer medication categories assessed. Adherence differed by medication category and was lowest for isosorbide dinitrate (PDC = 60.7%). In total, 7.6% of enrollees had preventable HF hospitalizations. Good adherers, compared to poor adherers (PDC<40%), were 15% less likely to have a preventable hospitalization (HR 0.85, 95% confidence interval, 0.75–0.96).

Conclusion

We found that approximately half of insured U.S. adults aged 18–64 years with newly diagnosed HF had good adherence to their HF medications. Patients with good adherence, compared to those with poor adherence, were less likely to have a potentially preventable HF hospitalization 3–5 years after their initial diagnosis. Because HF is a chronic condition that requires long-term management, future studies may want to assess the effectiveness of interventions in sustaining adherence.

Medication Non-Adherence among Patients with Heart Failure

Introduction Poor adherence or non-adherence to the prescribed medications among heart failure (HF) patients is a common problem. This leads to hospital admission due to increased HF exacerbations, reduced physical function, and even death. The study was conducted to assess the heart failure medication adherence level, using Morisky Medication Adherence Scale (MMAS-8), among heart failure patients visiting the adult cardiology department of a tertiary care cardiac center in Karachi. Methods This cross-sectional study included patients diagnosed with heart failure visiting for the follow-up to both inpatient and outpatient departments of a tertiary care cardiac center of Karachi, Pakistan. Medication adherence level was assessed using a validated Morisky Medication Adherence Scale (MMAS-8). The total MMAS-8 score was calculated by adding all of the 8 individual question scores and patients with a score of eight were classified as adherent, otherwise non-adherent. Results A total of 200 patients were included in this study, out of which 61.5% (123) were male and 38.5% (77) were female. More than half, 54% (108), of the patients were rural residents and majority were Urdu (39.5%) speaking followed by Sindhi (19.5%) and Pashto (19.0%) speaking. Almost all, 99.5% (199) were married and 52% (104) patients were uneducated. Overall 76.5% (153) were adherent to the prescribed medication. And reaming 23.5% (47) were moderately adherent with MMAS-8 score of seven and six. Non-adherence to the prescribed medication is more common among rural residents and uneducated patients. Conclusion Non-adherence to the prescribed medication was observed in a significant number of heart failure patients (23.5%) in our population, and it was more common observation for the patients with rural residence and uneducated. It is important to counsel the patients about the importance of medication adherence to marginalize the re-hospitalization and complications these patients.

HEARTEN KMS - A knowledge management system targeting the management of patients with heart failure

The aim of this work is to present the HEARTEN Knowledge Management System, one of the core modules of the HEARTEN platform. The HEARTEN platform is an mHealth collaborative environment enabling the Heart Failure patients to self-manage the disease and remain adherent, while allowing the other ecosystem actors (healthcare professionals, caregivers, nutritionists, physical activity experts, psychologists) to monitor the patient's health progress and offer personalized, predictive and preventive disease management. The HEARTEN Knowledge Management System is a tool which provides multiple functionalities to the ecosystem actors for the assessment of the patient's condition, the estimation of the patient's adherence, the prediction of potential adverse events, the calculation of Heart Failure related scores, the extraction of statistics, the association of patient clinical and non-clinical data and the provision of alerts and suggestions. The innovation of this tool lays in the analysis of multi-parametric personal data coming from different sources, including for the first time breath and saliva biomarkers, and the use of machine learning techniques. The HEARTEN Knowledge Management System consists of nine modules. The accuracy of the KMS modules ranges from 78% to 95% depending on the module/functionality.

Adherence to self-care recommendations and associated factors among adult heart failure patients. From the patients' point of view

Background

Nowadays, heart failure (HF) related morbidity and mortality rate is increasing globally. Younger populations happen to be more affected by HF in sub- Saharan African than the western countries. Even though medications, low sodium diet, regular exercise, and weight monitoring are essential to control heart failure symptoms and its exacerbation, poor adherence to these self-care recommendations is contributing to an increased in hospitalization, morbidity, and mortality. Therefore, this study aimed to assess heart failure patients’ adherence to self-care recommendations and its associated factors.

Methods

A hospital-based cross-sectional study was conducted on 310 adult heart failure patients attending Gondar University referral hospital from February to May 2017. The participants were selected by systematic random sampling technique. Data were collected through face to face interview and from the patients’ medical records. The data were analyzed using SPSS version 20. A binary logistic regression model was used to check the effect of different factors on the patients’ adherence level.

Results

Of 310 study participants only 22.3% (95% CI, 17.4%-26.8%) of heart failure patients reported good adherence to their self-care recommendations. Adherence to self-care recommendation was positively associated with being male in gender (AOR = 2.34, 95% CI: 1.18–4.62), good level of heart failure knowledge (AOR = 2.49, 95% CI: 1.276–4.856) and free from chronic comorbid diseases (AOR = 2.57, 95% CI: 1.28–5.14).

Conclusion

Overall, heart failure patients’ adherence to self-care recommendations is poor and selective. Being male in gender, had no chronic comorbidity, and a good level of heart failure knowledge were positively associated with adherence to self-care recommendations. It is therefore strategic to plan improving heart failure patients’ knowledge about heart failure signs, symptoms and its management approaches, to improve the patients’ adherence level.

Implementation of an interprofessional medication adherence program for chronic patients in community pharmacies: how much does it cost for the provider?

BACKGROUND

The implementation of an innovative and sustainable professional pharmacy service in routine care requires substantial resources borne by the pharmacy owner. Although a community pharmacy is a business setting, few studies have examined cost as a potential barrier to widespread implementation. Implementation costs, as the cost impact of an implementation effort, can be significant and hamper the decision to invest from the provider perspective. Traditional financial planning tools can be used to analyse and support business decision to implement a service by assessing the net impact of a new service on the provider's budget. This study aimed to estimate the implementation costs and the break-even point of an interprofessional medication adherence program for chronic patients in Switzerland. The program combines motivational interviews, medication adherence electronic monitoring and feedback reports to patient and physicians.

METHODS

We used a 3-step approach: (i) micro-costing analysis: identification of implementation activities, quantification and valuation of required resources. Implementation costs, including service support costs and direct delivery costs, were analysed according to the implementation phase (installation, initial implementation, and full operation); (ii) break-even analysis: estimation of the required number of patients to follow up with to ensure that the generated revenue exceeded the total cost; and (iii) univariate sensitivity analyses.

RESULTS

The estimated total cost of the installation phase was 8481 CHF, more than half of which represented the cost of the equipment. Direct delivery costs were 666 CHF per patient per year, with 68% of this value associated with the cost of workforce time. According to the Swiss national reimbursement system, a minimal of 16 [10-27] patients was required to cover the implementation costs of the installation phase. This break-even point decreased to 13 patients in the initial and full operation phases.

CONCLUSIONS

These estimates lead to a better understanding of the real cost of implementing a professional pharmacy service in routine care. In a Swiss context, the current medication adherence support fee-for-service system allows pharmacists to reach the break-even point. Such information is important for community pharmacists to guide their implementation strategies. The replication of similar analyses in other settings and countries is paramount.

Precipitating factors of decompensation of heart failure related to treatment adherence: multicenter study-EMBRACE

OBJECTIVE

To describe the precipitating factors of heart failure decompensation between adherent and non-adherent patients to treatment.

METHODS

Cross-sectional study of a multicenter cohort study. Patients over 18 years of age with decompensated heart failure (functional class III/IV) were eligible. The structured questionnaire was used to collect the data and evaluate the reasons for decompensation. The irregular use of medication prior to hospitalization and inadequate salt and fluid intake were considered as poor adherence to treatment.

RESULTS

A total of 556 patients were included, mean age 61 ± 14 years old, 362 (65%) male. The main factor of decompensation was poor adherence, representing 55% of the sample. Patients who reported irregular use of medications in the last week had a 22% greater risk of being hospitalized due to poor adherence than the patients who adhered to treatment.

CONCLUSION

The EMBRACE study showed that in patients with heart failure, poor adherence was the main factor of exacerbation.

Medication Adherence Mediates the Relationship Between Heart Failure Symptoms and Cardiac Event-Free Survival in Patients With Heart Failure

BACKGROUND

Heart failure (HF) symptoms such as dyspnea are common and may precipitate hospitalization. Medication nonadherence is presumed to be associated with symptom exacerbations, yet how HF symptoms, medication adherence, and hospitalization/death are related remains unclear.

OBJECTIVE

The aim of this study was to explore the relationships among HF symptoms, medication adherence, and cardiac event-free survival in patients with HF.

METHODS

At baseline, patient demographics, clinical data, and HF symptoms were collected in 219 patients with HF. Medication adherence was monitored using the Medication Event Monitoring System. Patients were followed for up to 3.5 years to collect hospitalization and survival data. Logistic regression and survival analyses were used for the analyses.

RESULTS

Patients reporting dyspnea or ankle swelling were more likely to have poor medication adherence (P = .05). Poor medication adherence was associated with worse cardiac event-free survival (P = .006). In Cox regression, patients with HF symptoms had 2 times greater risk for a cardiac event than patients without HF symptoms (P = .042). Heart failure symptoms were not a significant predictor of cardiac event-free survival after entering medication adherence in the model (P = .091), indicating mediation.

CONCLUSIONS

Medication adherence was associated with fewer HF symptoms and lower rates of hospitalization and death. It is important to develop interventions to improve medication adherence that may reduce HF symptoms and high hospitalization and mortality in patients with HF.

PHARMacy-based interdisciplinary program for patients with Chronic Heart Failure (PHARM-CHF): rationale and design of a randomized controlled trial, and results of the pilot study

We report the rationale and design of a community PHARMacy-based prospective randomized controlled interdisciplinary study for ambulatory patients with Chronic Heart Failure (PHARM-CHF) and results of its pilot study. The pilot study randomized 50 patients to a pharmacy-based intervention or usual care for 12 months. It demonstrated the feasibility of the design and showed reduced systolic blood pressure in the intervention group as indicator for improved medication adherence. The main study will randomize patients ≥60 years on stable pharmacotherapy including at least one diuretic and a history of heart failure hospitalization within 12 months. The intervention group will receive a medication review at baseline followed by regular dose dispensing of the medication, counselling regarding medication use and symptoms of heart failure. The control patients are unknown to the pharmacy and receive usual care. The primary efficacy endpoint is medication adherence, pre-specified as a significant difference of the proportion of days covered between the intervention and control group within 365 days following randomization using pharmacy claims data for three CHF medications (angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, beta-blockers, and mineralocorticoid receptor antagonists). The primary composite safety endpoint is days lost due to blindly adjudicated unplanned cardiovascular hospitalizations or death. Overall, 248 patients shall be randomized. The minimum follow-up is 12 months with an expected mean of 24 months. Based on the feasibility demonstrated in the pilot study, the randomized PHARM-CHF trial will test whether an interdisciplinary pharmacy-based intervention can safely improve medication adherence and will estimate the potential impact on clinical endpoints. ClinicalTrials.gov Identifier: NCT01692119.

Self-Care for the Prevention and Management of Cardiovascular Disease and Stroke: A Scientific Statement for Healthcare Professionals From the American Heart Association

Self-care is defined as a naturalistic decision-making process addressing both the prevention and management of chronic illness, with core elements of self-care maintenance, self-care monitoring, and self-care management. In this scientific statement, we describe the importance of self-care in the American Heart Association mission and vision of building healthier lives, free of cardiovascular diseases and stroke. The evidence supporting specific self-care behaviors such as diet and exercise, barriers to self-care, and the effectiveness of self-care in improving outcomes is reviewed, as is the evidence supporting various individual, family-based, and community-based approaches to improving self-care. Although there are many nuances to the relationships between self-care and outcomes, there is strong evidence that self-care is effective in achieving the goals of the treatment plan and cannot be ignored. As such, greater emphasis should be placed on self-care in evidence-based guidelines.

Associations of Subjective Sleep Quality and Daytime Sleepiness With Cognitive Impairment in Adults and Elders With Heart Failure

This study examined the association of subjective nighttime sleep quality and daytime sleepiness with cognitive impairment in 105 adults (< 60 years old) and 167 elders (≥ 60 years old) with heart failure. Nighttime sleep quality and daytime sleepiness were measured by the Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale. Cognitive impairment was assessed using a neuropsychological battery measuring attention, memory, and processing speed. Multivariate logistic regression was used. In adults, daytime sleepiness was associated with cognitive impairment, whereas poor nighttime sleep quality was associated with cognitive impairment in elders. Age may play an important role in how sleep impacts cognition in persons with heart failure. Improving nighttime sleep quality and daytime sleepiness in this population may improve cognition.

Incorporating nonlinearity into mediation analyses

Background

Mediation is an important issue considered in the behavioral, medical, and social sciences. It addresses situations where the effect of a predictor variable X on an outcome variable Y is explained to some extent by an intervening, mediator variable M. Methods for addressing mediation have been available for some time. While these methods continue to undergo refinement, the relationships underlying mediation are commonly treated as linear in the outcome Y, the predictor X, and the mediator M. These relationships, however, can be nonlinear. Methods are needed for assessing when mediation relationships can be treated as linear and for estimating them when they are nonlinear.

Methods

Existing adaptive regression methods based on fractional polynomials are extended here to address nonlinearity in mediation relationships, but assuming those relationships are monotonic as would be consistent with theories about directionality of such relationships.

Results

Example monotonic mediation analyses are provided assessing linear and monotonic mediation of the effect of family functioning (X) on a child’s adaptation (Y) to a chronic condition by the difficulty (M) for the family in managing the child's condition. Example moderated monotonic mediation and simulation analyses are also presented.

Conclusions

Adaptive methods provide an effective way to incorporate possibly nonlinear monotonicity into mediation relationships.

The Situation-Specific Theory of Heart Failure Self-Care: Revised and Updated

BACKGROUND

Since the situation-specific theory of heart failure (HF) self-care was published in 2008, we have learned much about how and why patients with HF take care of themselves. This knowledge was used to revise and update the theory.

OBJECTIVE

The purpose of this article was to describe the revised, updated situation-specific theory of HF self-care.

RESULT

Three major revisions were made to the existing theory: (1) a new theoretical concept reflecting the process of symptom perception was added; (2) each self-care process now involves both autonomous and consultative elements; and (3) a closer link between the self-care processes and the naturalistic decision-making process is described. In the revised theory, HF self-care is defined as a naturalistic decision-making process with person, problem, and environmental factors that influence the everyday decisions made by patients and the self-care actions taken. The first self-care process, maintenance, captures those behaviors typically referred to as treatment adherence. The second self-care process, symptom perception, involves body listening, monitoring signs, as well as recognition, interpretation, and labeling of symptoms. The third self-care process, management, is the response to symptoms when they occur. A total of 5 assumptions and 8 testable propositions are specified in this revised theory.

CONCLUSION

Prior research illustrates that all 3 self-care processes (ie, maintenance, symptom perception, and management) are integral to self-care. Further research is greatly needed to identify how best to help patients become experts in HF self-care.

Association Between Poorer Cognitive Function and Reduced Objectively Monitored Medication Adherence in Patients With Heart Failure

BACKGROUND

Subclinical cognitive impairment is prevalent in heart failure (HF); however, its role in important clinical outcomes, such as HF treatment adherence, is unclear. Given the complex polypharmacy in HF treatment, cognitive deficits may be important in predicting medication management. Thus, the objective of the current study was to examine the impact of cognitive function on medication adherence among community-dwelling patients with HF using objective assessments.

METHODS AND RESULTS

A prospective observational cohort design of 309 community-dwelling patients with HF (59.7% male, 68.7±9.7 years) and no history of dementia or neurological disease. Cognition was assessed using a neuropsychological battery at baseline. Medication adherence was objectively measured for 21 days using an electronic pillbox. Regression analyses tested whether attention, executive function, or memory predicted 21-day medication adherence. In unadjusted analyses, lower scores on all 3 cognitive domains predicted poorer medication adherence (β=0.52-85; P=0.001-0.009). After adjusting for demographic, clinical, and psychosocial variables, memory continued to predict medication adherence (β=0.51; P=0.008), whereas executive function (β=0.24; P=0.075) and attention were no longer a predictor (β=0.34; P=0.131).

CONCLUSIONS

Poorer cognitive function, especially in regard to memory, predicted reduced medication adherence among patients with HF and no history of dementia. This effect remained after adjustment for factors known to predict adherence, such as depressed mood, social support, and disease severity level. Future studies should examine the link from cognitive impairment and medication nonadherence to clinical outcomes (eg, hospitalization and mortality).

CLINICAL TRIAL REGISTRATION

URL: http://www.clinicaltrials.gov. Unique identifier: NCT01461629.

Reduced Gray Matter Volume Is Associated With Poorer Instrumental Activities of Daily Living Performance in Heart Failure

BACKGROUND

Heart failure patients require assistance with instrumental activities of daily living in part because of the high rates of cognitive impairment in this population. Structural brain insult (eg, reduced gray matter volume) is theorized to underlie cognitive dysfunction in heart failure, although no study has examined the association among gray matter, cognition, and instrumental activities of daily living in heart failure.

OBJECTIVES

The aim of this study was to investigate the associations among gray matter volume, cognitive function, and functional ability in heart failure.

METHODS

A total of 81 heart failure patients completed a cognitive test battery and the Lawton-Brody self-report questionnaire to assess instrumental activities of daily living. Participants underwent magnetic resonance imaging to quantify total gray matter and subcortical gray matter volume.

RESULTS

Impairments in instrumental activities of daily living were common in this sample of HF patients. Regression analyses controlling for demographic and medical confounders showed that smaller total gray matter volume predicted decreased scores on the instrumental activities of daily living composite, with specific associations noted for medication management and independence in driving. Interaction analyses showed that reduced total gray matter volume interacted with worse attention/executive function and memory to negatively impact instrumental activities of daily living.

CONCLUSIONS

Smaller gray matter volume is associated with greater impairment in instrumental activities of daily living in persons with heart failure, possibly via cognitive dysfunction. Prospective studies are needed to clarify the utility of clinical correlates of gray matter volume (eg, cognitive dysfunction) in identifying heart failure patients at risk for functional decline and determine whether interventions that target improved brain and cognitive function can preserve functional independence in this high-risk population.

Predicting adherence of patients with HF through machine learning techniques

Heart failure (HF) is a chronic disease characterised by poor quality of life, recurrent hospitalisation and high mortality. Adherence of patient to treatment suggested by the experts has been proven a significant deterrent of the above-mentioned serious consequences. However, the non-adherence rates are significantly high; a fact that highlights the importance of predicting the adherence of the patient and enabling experts to adjust accordingly patient monitoring and management. The aim of this work is to predict the adherence of patients with HF, through the application of machine learning techniques. Specifically, it aims to classify a patient not only as medication adherent or not, but also as adherent or not in terms of medication, nutrition and physical activity (global adherent). Two classification problems are addressed: (i) if the patient is global adherent or not and (ii) if the patient is medication adherent or not. About 11 classification algorithms are employed and combined with feature selection and resampling techniques. The classifiers are evaluated on a dataset of 90 patients. The patients are characterised as medication and global adherent, based on clinician estimation. The highest detection accuracy is 82 and 91% for the first and the second classification problem, respectively.

A Remote Medication Monitoring System for Chronic Heart Failure Patients to Reduce Readmissions: A Two-Arm Randomized Pilot Study

Background

Heart failure (HF) is a chronic condition affecting nearly 5.7 million Americans and is a leading cause of morbidity and mortality. With an aging population, the cost associated with managing HF is expected to more than double from US $31 billion in 2012 to US $70 billion by 2030. Readmission rates for HF patients are high—25% are readmitted at 30 days and nearly 50% at 6 months. Low medication adherence contributes to poor HF management and higher readmission rates. Remote telehealth monitoring programs aimed at improved medication management and adherence may improve HF management and reduce readmissions.

Objective

The primary goal of this randomized controlled pilot study is to compare the MedSentry remote medication monitoring system versus usual care in older HF adult patients who recently completed a HF telemonitoring program. We hypothesized that remote medication monitoring would be associated with fewer unplanned hospitalizations and emergency department (ED) visits, increased medication adherence, and improved health-related quality of life (HRQoL) compared to usual care.

Methods

Participants were randomized to usual care or use of the remote medication monitoring system for 90 days. Twenty-nine participants were enrolled and the final analytic sample consisted of 25 participants. Participants completed questionnaires at enrollment and closeout to gather data on medication adherence, health status, and HRQoL. Electronic medical records were reviewed for data on baseline classification of heart function and the number of unplanned hospitalizations and ED visits during the study period.

Results

Use of the medication monitoring system was associated with an 80% reduction in the risk of all-cause hospitalization and a significant decrease in the number of all-cause hospitalization length of stay in the intervention arm compared to usual care. Objective device data indicated high adherence rates (95%-99%) among intervention group participants despite finding no significant difference in self-reported adherence between study arms. The intervention group had poorer heart function and HRQoL at baseline, and HRQoL declined significantly in the intervention group compared to controls.

Conclusions

The MedSentry medication monitoring system is a promising technology that merits continued development and evaluation. The MedSentry medication monitoring system may be useful both as a standalone system for patients with complex medication regimens or used to complement existing HF telemonitoring interventions. We found significant reductions in risk of all-cause hospitalization and the number of all-cause length of stay in the intervention group compared to controls. Although HRQoL deteriorated significantly in the intervention group, this may have been due to the poorer HF-functioning at baseline in the intervention group compared to controls. Telehealth medication adherence technologies, such as the MedSentry medication monitoring system, are a promising method to improve patient self-management,the quality of patient care, and reduce health care utilization and expenditure for patients with HF and other chronic diseases that require complex medication regimens.

Trial Registration

ClinicalTrials.gov NCT01814696; https://clinicaltrials.gov/ct2/show/study/NCT01814696 (Archived by WebCite® at http://www.webcitation.org/6giqAVhno)

Determinants of Behavioral Alertness in Adults with Heart Failure

STUDY OBJECTIVES

The primary objective of this study was to describe characteristics of sleep across the three domains of sleep quality, daytime sleepiness, and behavioral alertness in community-dwelling adults with heart failure. The secondary objective was to identify modifiable factors associated with behavioral alertness.

METHODS

A sample of 280 adults with chronic heart failure was enrolled. Widely used, validated, and sensitive measures of sleep quality (Pittsburgh Sleep Quality Index), daytime sleepiness (Epworth Sleepiness Scale, Stanford Sleepiness Scale), and behavioral alertness (Psychomotor Vigilance Test [PVT]) were collected at baseline, 3 and 6 months. Sociodemographic and clinical characteristics, including exercise, were measured at baseline.

RESULTS

Participants were primarily male and functionally compromised with a mean left ventricular ejection fraction of 35 percent. The majority of the sample (73%) reported poor sleep quality. The mean (± SD) Epworth Sleepiness Scale score was low (7.0 ± 4.6), indicating they did not perceive daytime sleepiness. In contrast, behavioral alertness was relatively poor as evidenced by a slow PVT mean response time (3.09 ± 0.76). Participants who reported exercising at least one hour in the past week were more alert and had faster response times than those reporting no exercise.

CONCLUSIONS

Although sleep quality was poor and behavioral alertness was compromised, these heart failure patients did not feel sleepy. Exercise may help to promote behavioral alertness and reduce daytime sleepiness in adults with heart failure.

The association between cognitive function and objective adherence to dietary sodium guidelines in patients with heart failure

BACKGROUND

Although cognitive impairment is common in heart failure (HF) patients, its effects on sodium adherence recommendations are unknown.

PURPOSE

Our aim is to examine if cognitive function is associated with patient sodium adherence.

METHODS

Sodium collection/excretion and cognitive function were assessed for 339 HF patients over a 5-8-week period. Neuropsychological testing was performed at baseline (Visit 1), whereas two 24-hour urine samples were collected within 7 weeks postbaseline. The ability to collect two 24-hour urine samples and the estimation of sodium excretion levels from these samples were used to estimate sodium adherence recommendations.

RESULTS

Nearly half (47%) of the study participants (n=159) were unable to give two valid 24-hour urine samples. Participants who were unable to adhere to two valid 24-hour urine samples had significantly poorer attention and global cognition tests (P<0.044), with a trend for poorer executive function (P=0.064). Among those with valid samples, urine sodium level was not associated with global cognitive function, attention, executive function, or memory after adjusting for covariates. Female sex was associated with lower sodium excretion (all P<0.01); individuals with knowledge of sodium guidelines had less intake of sodium, resulting in excretion of less sodium (all P≤0.03). Conversely, higher socioeconomic status (SES) and body mass index (BMI) were associated with greater sodium (all P≤0.02 and P≤0.01).

CONCLUSION

Adherence to urine sodium collection was poor, especially among those with poorer cognitive function. Sodium consumption exceeded recommended amounts and was unrelated to cognitive function. Interventions for improving sodium adherence should focus on at-risk groups (high SES and BMI) and at improving knowledge of recommended salt intake.

Diagnosis - the limiting focus of taxonomy

RATIONALE, AIMS AND OBJECTIVES

The focus on the diagnosis is a pivotal aspect of medical practice since antiquity. Diagnostic taxonomy helped to categorize ailments to improve medical care, and in its social sense resulted in validation of the sick role for some, but marginalization or stigmatization for others. In the medical industrial complex, diagnostic taxonomy structured health care financing, management and practitioner remuneration. However, with increasing demands from multiple agencies, there are increasing unintended and unwarranted consequences of our current taxonomies and diagnostic processes resulting from the conglomeration of underpinning concepts, theories, information and motivations.

RESULTS

We argue that the increasing focus on the diagnosis resulted in excessive compartmentalization - 'partialism' - of medical practice, diminishing medical care and being naively simplistic in light of the emerging understanding of the interconnected nature of the diseasome. The human is a complex organic system of interconnecting dynamics and feedback loops responding to internal and external forces including genetic, epigenetic and environmental attractors, rather than the sum of multiple discrete organs which can develop isolated diseases or multiple morbidities. Solutions to these unintended consequences of many contemporary health system processes involve revisiting the nature of diagnostic taxonomies and the processes of their construction. A dynamic taxonomic framework would shift to more relevant attractors at personal, clinical and health system levels recognizing the non-linear nature of health and disease. Human health at an individual, group and population level is the ability to adapt to internal and external stressors with resilience throughout the life course, yet diagnostic taxonomies are increasingly constructed around fixed anchors.

CONCLUSIONS

Understanding diagnosis as dissecting, pigeonholing or bean counting (learning by dividing) is no longer useful, the challenge for the future is to understand the big picture (learning by connecting). Diagnostic categorization needs to embrace a meta-learning approach open to human variability.

Self-report measures of medication adherence behavior: recommendations on optimal use

Medication adherence plays an important role in optimizing the outcomes of many treatment and preventive regimens in chronic illness. Self-report is the most common method for assessing adherence behavior in research and clinical care, but there are questions about its validity and precision. The NIH Adherence Network assembled a panel of adherence research experts working across various chronic illnesses to review self-report medication adherence measures and research on their validity. Self-report medication adherence measures vary substantially in their question phrasing, recall periods, and response items. Self-reports tend to overestimate adherence behavior compared with other assessment methods and generally have high specificity but low sensitivity. Most evidence indicates that self-report adherence measures show moderate correspondence to other adherence measures and can significantly predict clinical outcomes. The quality of self-report adherence measures may be enhanced through efforts to use validated scales, assess the proper construct, improve estimation, facilitate recall, reduce social desirability bias, and employ technologic delivery. Self-report medication adherence measures can provide actionable information despite their limitations. They are preferred when speed, efficiency, and low-cost measures are required, as is often the case in clinical care.

Predictors of medication nonadherence differ among black and white patients with heart failure

Heart failure (HF) is a global public health problem, and outcomes remain poor, especially among ethnic minority populations. Medication adherence can improve heart failure outcomes but is notoriously low. The purpose of this secondary analysis of data from a prospective cohort comparison study of adults with heart failure was to explore differences in predictors of medication nonadherence by racial group (Black vs. White) in 212 adults with heart failure. Adaptive modeling analytic methods were used to model HF patient medication nonadherence separately for Black (31.7%) and White (68.3%) participants in order to investigate differences between these two racial groups. Of the 63 Black participants, 33.3% had low medication adherence, compared to 27.5% of the 149 White participants. Among Blacks, 16 risk factors were related to adherence in bivariate analyses; four of these (more comorbidities, lower serum sodium, higher systolic blood pressure, and use of fewer activities compensating for forgetfulness) jointly predicted nonadherence. In the multiple risk factor model, the number of risk factors in Black patients ranged from 0 to 4, and 76.2% had at least one risk factor. The estimated odds ratio for medication nonadherence was increased 9.34 times with each additional risk factor. Among White participants, five risk factors were related to adherence in bivariate analyses; one of these (older age) explained the individual effects of the other four. Because Blacks with HF have different and more risk factors than Whites for low medication adherence, interventions are needed that address unique risk factors among Black patients with HF.

Urea

Urea is generated by the urea cycle enzymes, which are mainly in the liver but are also ubiquitously expressed at low levels in other tissues. The metabolic process is altered in several conditions such as by diets, hormones, and diseases. Urea is then eliminated through fluids, especially urine. Blood urea nitrogen (BUN) has been utilized to evaluate renal function for decades. New roles for urea in the urinary system, circulation system, respiratory system, digestive system, nervous system, etc., were reported lately, which suggests clinical significance of urea.

Racial differences in clinical treatment and self-care behaviors of adults with chronic heart failure

BACKGROUND

In the United States, the highest prevalence of heart failure (HF) is in blacks followed by whites. Compared with whites, blacks have a higher risk of HF-related morbidity and mortality and HF-related hospitalization. Little research has focused on explaining the reasons for these disparities. The purpose of this study was to examine racial differences in demographic and clinical characteristics in blacks and whites with HF and to determine if these characteristics influenced treatment, or together with treatment, influenced self-care behaviors.

METHODS AND RESULTS

This was a secondary analysis of existing data collected from adults (n=272) with chronic HF enrolled from outpatient sites in the northeastern United States and followed for 6 months. After adjusting for sociodemographic and clinical characteristics within reduced (HFrEF) and preserved ejection fraction (HFpEF) groups, there were 2 significant racial differences in clinical treatment. Blacks with HFrEF were prescribed ACE inhibitors and hydralazine and isosorbide dinitrate (H-ISDN) more often than whites. In the HFpEF group, blacks were taking more medications and were prescribed digoxin and a diuretic when symptomatic. Deficits in HF knowledge and decreased medication adherence, objectively measured, were more prominent in blacks. These racial differences were not explained by sociodemographic or clinical characteristics or clinical treatment variables. Premorbid intellect and the quality of support received contributed to clinical treatment and self-care.

CONCLUSION

Although few differences in clinical treatment could be attributed solely to race, knowledge about HF and medication adherence is lower in blacks than whites. Further research is needed to explain these observations, which may be targets for future intervention research.

Age-related medication adherence in patients with chronic heart failure: A systematic literature review

BACKGROUND

Chronic heart failure (CHF) is prevalent among the elderly and is characterized by high mortality and hospitalization rates. Non-adherence to medications is frequent and related to poor clinical outcomes. It is often assumed that older age is related to poorer medication adherence compared with younger age. We analyzed the existing evidence of age as a determinant of medication adherence in patients with CHF.

METHODS

A systematic search of the bibliographic database MEDLINE and all Cochrane databases was performed. Studies were included if they examined medication adherence in adult patients with CHF, evaluated factors contributing to medication adherence, and analyzed the relationship between age and medication adherence. Articles classified as studies with poor quality were excluded.

RESULTS

A total of 1565 titles were found, and ultimately, 17 studies, which provide data for a total of 162,727 patients, were analyzed. Seven studies showed a statistically significant relationship between age and medication adherence: six articles demonstrated that increased age is correlated with higher medication adherence, and one study showed that patients in the age range of 57 to 64 years are affected by non-adherence to angiotensin-converting enzyme inhibitors. Ten studies found no significant relationship.

CONCLUSIONS

The results suggest that older age alone is not related to poorer medication adherence compared with younger patients with CHF. More attention should be paid to younger newly-diagnosed patients with CHF. Future studies are required to explore medication adherence in CHF in different, standardized, and specific age groups and should be sufficiently powered to assess clinical endpoints.

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

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.

What puts heart failure patients at risk for poor medication adherence?

BACKGROUND

Medication nonadherence is a major cause of hospitalization in patients with heart failure (HF), which contributes enormously to health care costs. We previously found, using the World Health Organization adherence dimensions, that condition and patient level factors predicted nonadherence in HF. In this study, we assessed a wider variety of condition and patient factors and interactions to improve our ability to identify those at risk for hospitalization.

MATERIALS AND METHODS

Medication adherence was measured electronically over the course of 6 months, using the Medication Event Monitoring System (MEMS). A total of 242 HF patients completed the study, and usable MEMS data were available for 218 (90.1%). Participants were primarily white (68.3%), male (64.2%), and retired (44.5%). Education ranged from 8-29 years (mean, 14.0 years; standard deviation, 2.9 years). Ages ranged from 30-89 years (mean, 62.8 years; standard deviation, 11.6 years). Analyses used adaptive methods based on heuristic searches controlled by cross-validation scores. First, individual patient adherence patterns over time were used to categorize patients in poor versus better adherence types. Then, risk factors for poor adherence were identified. Finally, an effective model for predicting poor adherence was identified based on identified risk factors and possible pairwise interactions between them.

RESULTS

A total of 63 (28.9%) patients had poor adherence. Three interaction risk factors for poor adherence were identified: a higher number of comorbid conditions with a higher total number of daily medicines, older age with poorer global sleep quality, and fewer months since diagnosis of HF with poorer global sleep quality. Patients had between zero and three risk factors. The odds for poor adherence increased by 2.6 times with a unit increase in the number of risk factors (odds ratio, 2.62; 95% confidence interval, 1.78-3.86; P<0.001).

CONCLUSION

Newly diagnosed, older HF patients with comorbid conditions, polypharmacy, and poor sleep are at risk for poor medication adherence. Interventions addressing these specific barriers are needed.