Expert panel on cost analysis of atrial fibrillation

Cost-of-disease of Heart Failure in Turkey: A Delphi Panel-based Analysis of Direct and Indirect Costs

Background:

Heart failure (HF) is considered a significant public health issue with a substantial and growing epidemiologic and economic burden in relation to longer life expectancy and aging global population.

Aims:

To determine cost-of-disease of heart failure (HF) in Turkey from the payer perspective.

Study Design:

Cross-sectional cost of disease study.

Methods:

In this cost-of-disease study, annual direct and indirect costs of management of HF were determined based on epidemiological, clinical and lost productivity inputs provided by a Delphi panel consisted of 11 experts in HF with respect to ejection fraction (EF) status (HF patients with reduced EF (HFrEF), mid-range EF (HFmrEF) and preserved EF (HFpEF)) and New York Heart Association (NYHA) classification. Direct medical costs included cost items on outpatient management, inpatient management, medications, and non-pharmaceutical treatments. Indirect cost was calculated based on the lost productivity due to absenteeism and presenteeism.

Results:

51.4%, 19.5%, and 29.1% of the patients were estimated to be HFrEF, HFmrEF, and HFpEF patients, respectively. The total annual direct medical cost per patient was $887 and non-pharmaceutical treatments ($373, 42.1%) were the major direct cost driver. Since an estimated nationwide number of HF patients is 1,128,000 in 2021, the total annual national economic burden of HF is estimated to be $1 billion in 2021. The direct medical cost was higher in patients with HFrEF than in those with HFmrEF or HFpEF ($1,147 vs. $555 and $649, respectively). Average indirect cost per patient was calculated to be $3,386 and was similar across HFrEF, HFmrEF and HFpEF groups, but increased with advanced NYHA stage.

Conclusion:

Our findings confirm the substantial economic burden of HF in terms of both direct and indirect costs and indicate that the non-pharmaceutical cost is the major direct medical cost driver in HF management, regardless of the EF status of HF patients.

Cost of heart failure management in Turkey: results of a Delphi Panel

Objective:

To analyze health-related cost of heart failure (HF) and to evaluate health-related source utilization aiming to provide data on the economic burden of HF in actual clinical practice in Turkey.

Methods:

The study used the Delphi process of seeking expert consensus of opinion including 11 cardiologists who are experienced in HF. The standardized questionnaire comprised items to reflect the opinion of the expert panelists on the distribution of the HF patients in terms of demographic and clinical characteristics and background disease states. Costs related to out-patient follow-up, in-patient follow-up, medications, and other therapies were also evaluated.

Results:

34.1% of the HF patients were in the age range of 60–69 years, and 62.3% were males. Coronary heart disease was the leading cause of HF (59.6%); 63.6% of the HF patients had reduced ejection fraction (rEF) and 42.3% were in New York Heart Association (NYHA)-II class. Approximately 75 % of the patients were followed up by a cardiology unit. The total annual visit number was estimated as 3.41. Approximately 32% of HF patients were hospitalized 1.64 times a year, for an average of 6.77 days each time. The total annual costs of all HF patients and HF-rEF patients were estimated as 1.537 TL and as 2.141 TL, respectively.

Conclusion:

The analysis demonstrating the magnitude of the economic impact of HF management on Turkey’s healthcare system may help facilitate health and social policy interventions to improve the prevention and treatment of HF. (Anatol J Cardiol 2016; 16: 554-62)

Screening strategies for atrial fibrillation: a systematic review and cost-effectiveness analysis

Background

Atrial fibrillation (AF) is a common cardiac arrhythmia that increases the risk of thromboembolic events. Anticoagulation therapy to prevent AF-related stroke has been shown to be cost-effective. A national screening programme for AF may prevent AF-related events, but would involve a substantial investment of NHS resources.

Objectives

To conduct a systematic review of the diagnostic test accuracy (DTA) of screening tests for AF, update a systematic review of comparative studies evaluating screening strategies for AF, develop an economic model to compare the cost-effectiveness of different screening strategies and review observational studies of AF screening to provide inputs to the model.

Design

Systematic review, meta-analysis and cost-effectiveness analysis.

Setting

Primary care.

Participants

Adults.

Intervention

Screening strategies, defined by screening test, age at initial and final screens, screening interval and format of screening {systematic opportunistic screening [individuals offered screening if they consult with their general practitioner (GP)] or systematic population screening (when all eligible individuals are invited to screening)}.

Main outcome measures

Sensitivity, specificity and diagnostic odds ratios; the odds ratio of detecting new AF cases compared with no screening; and the mean incremental net benefit compared with no screening.

Review methods

Two reviewers screened the search results, extracted data and assessed the risk of bias. A DTA meta-analysis was perfomed, and a decision tree and Markov model was used to evaluate the cost-effectiveness of the screening strategies.

Results

Diagnostic test accuracy depended on the screening test and how it was interpreted. In general, the screening tests identified in our review had high sensitivity (> 0.9). Systematic population and systematic opportunistic screening strategies were found to be similarly effective, with an estimated 170 individuals needed to be screened to detect one additional AF case compared with no screening. Systematic opportunistic screening was more likely to be cost-effective than systematic population screening, as long as the uptake of opportunistic screening observed in randomised controlled trials translates to practice. Modified blood pressure monitors, photoplethysmography or nurse pulse palpation were more likely to be cost-effective than other screening tests. A screening strategy with an initial screening age of 65 years and repeated screens every 5 years until age 80 years was likely to be cost-effective, provided that compliance with treatment does not decline with increasing age.

Conclusions

A national screening programme for AF is likely to represent a cost-effective use of resources. Systematic opportunistic screening is more likely to be cost-effective than systematic population screening. Nurse pulse palpation or modified blood pressure monitors would be appropriate screening tests, with confirmation by diagnostic 12-lead electrocardiography interpreted by a trained GP, with referral to a specialist in the case of an unclear diagnosis. Implementation strategies to operationalise uptake of systematic opportunistic screening in primary care should accompany any screening recommendations.

Limitations

Many inputs for the economic model relied on a single trial [the Screening for Atrial Fibrillation in the Elderly (SAFE) study] and DTA results were based on a few studies at high risk of bias/of low applicability.

Future work

Comparative studies measuring long-term outcomes of screening strategies and DTA studies for new, emerging technologies and to replicate the results for photoplethysmography and GP interpretation of 12-lead electrocardiography in a screening population.

Study registration

This study is registered as PROSPERO CRD42014013739.

Funding

The National Institute for Health Research Health Technology Assessment programme.

PULSE-SMART: Pulse-Based Arrhythmia Discrimination Using a Novel Smartphone Application

BACKGROUND

Atrial fibrillation (AF) is a common and dangerous rhythm abnormality. Smartphones are increasingly used for mobile health applications by older patients at risk for AF and may be useful for AF screening.

OBJECTIVES

To test whether an enhanced smartphone app for AF detection can discriminate between sinus rhythm (SR), AF, premature atrial contractions (PACs), and premature ventricular contractions (PVCs).

METHODS

We analyzed two hundred and nineteen 2-minute pulse recordings from 121 participants with AF (n = 98), PACs (n = 15), or PVCs (n = 15) using an iPhone 4S. We obtained pulsatile time series recordings in 91 participants after successful cardioversion to sinus rhythm from preexisting AF. The PULSE-SMART app conducted pulse analysis using 3 methods (Root Mean Square of Successive RR Differences; Shannon Entropy; Poincare plot). We examined the sensitivity, specificity, and predictive accuracy of the app for AF, PAC, and PVC discrimination from sinus rhythm using the 12-lead EKG or 3-lead telemetry as the gold standard. We also administered a brief usability questionnaire to a subgroup (n = 65) of app users.

RESULTS

The smartphone-based app demonstrated excellent sensitivity (0.970), specificity (0.935), and accuracy (0.951) for real-time identification of an irregular pulse during AF. The app also showed good accuracy for PAC (0.955) and PVC discrimination (0.960). The vast majority of surveyed app users (83%) reported that it was "useful" and "not complex" to use.

CONCLUSION

A smartphone app can accurately discriminate pulse recordings during AF from sinus rhythm, PACs, and PVCs.

Determinants of inpatient costs of angina pectoris, myocardial infarction, and heart failure in a university hospital setting in Turkey

Objective:

This study aimed to determine the correlates of in-hospital costs for angina pectoris (AP), myocardial infarction (MI), and heart failure (HF) in a university hospital setting.

Methods:

This is a retrospective cost-of-illness study using data from the records of patients who were admitted with AP, MI, or HF to Dokuz Eylül University Hospital during 2008. Direct medical costs were calculated from the Social Security Institute perspective using a bottom-up approach. Socio-demographic and clinical information was abstracted from patient files. Costs were presented in Turkish lira (TL). A generalized linear model was used in the multivariate analysis.

Results:

We included 337 in-patients in total in the study. AP was present in 26.4% (n=89), MI was present in 55.8% (n=188), and HF was present in 17.8% (n=60) of patients. MI was the most costly disease (2760 TL), followed by HF (2350 TL) and AP (1881 TL). The largest proportion of the total cost was formed by medical interventions (27.5%), followed by surgery (22.2%). Presence of DM, smoking, diagnosis of MI, HF, need for intensive care, and resulting in death were strong predictors of treatment costs.

Conclusion:

Both preadmission characteristics of patients (diabetes mellitus, smoking, use of anti-aggregant before admission) and in-patient characteristics (diagnosis, coronary artery bypass grafting, intensive care need, death) predicted the hospital cost of cardiovascular diseases (CVDs) independently. Our results may be used as input for health-economic models and economic evaluations to support the decision-making of reimbursement and the cost-effectiveness of public health interventions in healthcare.

Cost-Effectiveness of Atrial Fibrillation Ablation

Atrial fibrillation (AF) is a frequently encountered rhythm disorder, characterized by high recurrence rate, frequent hospitalizations, reduced quality-of-life and increased the risk of mortality, heart failure and stroke. Along with these clinical complications this type of arrhythmia is the major driver of health-related expenditures. Radiofrequency catheter ablation (RFA) of atrial fibrillation has been shown to improve freedom from arrhythmia survival, reduce re-hospitalization rate and provide better quality-of-life as compared with rate control and rhythm control with antiarrhythmic therapy. Efficacy of AF ablation in terms of outcomes and costs has an evolving importance. In this review, we aimed to highlight current knowledge on AF ablation clinical outcomes based on results of randomized clinical trials and community-based studies, and overview how this improvement in clinical end-points affects costs for arrhythmia care and cost-effectiveness of AF ablation.