METHOD: The annual cost of HF per patient was estimated using unweighted average and inverse probability weighting (IPW). Unweight average estimated the annual cost by considering all observed cases regardless of the availability of all the cost data, while IPW calculated the cost by weighting against inverse probability. The economic burden of HF was estimated for different HF phenotypes and age categories at the population level from the public healthcare system perspective.
RESULTS: The mean (standard deviation) annual costs per patient calculated using unweighted average and IPW were USD 5,123 (USD 3,262) and USD 5,217 (USD 3,317), respectively. The cost of HF estimated using two different approaches did not differ significantly (p = 0.865). The estimated cost burden of HF in Malaysia was USD 481.9 million (range: USD 31.7 million- 1,213.2 million) per year, which accounts for 1.05% (range: 0.07%-2.66%) of total health expenditure in 2021. The cost of managing patients with heart failure with reduced ejection fraction (HFrEF) accounted for 61.1% of the total financial burden of HF in Malaysia. The annual cost burden increased from USD 2.8 million for patients aged 20-29 to USD 142.1 million for those aged 60-69. The cost of managing HF in patients aged 50-79 years contributed 74.1% of the total financial burden of HF in Malaysia.
CONCLUSION: A large portion of the financial burden of HF in Malaysia is driven by inpatient costs and HFrEF patients. Long-term survival of HF patients leads to an increase in the prevalence of HF, inevitably increasing the financial burden of HF.
METHODS: A Microsoft Excel-based cost calculator was developed for such comparison. The estimated size of eligible population, uptake rates for dapagliflozin, as well as costs related to drugs, clinical events, and adverse events were based on published data, official tariffs, and databases, and expert opinion. Clinical data from the DAPA-HF trial were used to inform efficacy and safety inputs (i.e., hospitalization for heart failure (hHF), cardiovascular death, and adverse events). Results were reported as total annual and cumulative costs (in 2023 Malaysian Ringgits [RM], United States Dollars [USD], and European Union Euros, [EUR]; with exchange rates of 1 USD = RM 4.40 and 1 EUR = RM 4.90]), as well as the number of clinical events. Sensitivity and scenario analyses were also conducted.
FINDINGS: The base-case analysis estimated that over a five-year period, the adoption of dapagliflozin for HFrEF treatment would result in a cumulative cost-saving of RM 2.6 million (USD 0.6 million/EUR 0.5 million), representing a 0.3% reduction in costs, driven primarily by reduced expenditure on hHF. Moreover, dapagliflozin treatment would lead to 731 fewer hHF and 366 fewer cardiovascular deaths. Sensitivity and scenario analyses revealed that the results were most sensitive to assumptions regarding loop diuretic requirements and the cost of dapagliflozin. Although cost savings or a net-zero balance were projected for the first four years, an anticipated 2.5% annual increase in dapagliflozin uptake in the longer term would lead to additional costs for the MOH, starting from the fifth year.
IMPLICATIONS: Incorporating dapagliflozin into the SoC can improve health outcomes for HFrEF patients and may generate cost savings, potentially easing the economic strain of HFrEF management on Malaysia's public healthcare system in the short term. Nonetheless, a modest increase in budget should be anticipated as more patients gain access to the treatment over time.
Materials and methods: A prevalence-based, bottom-up cost analysis study was conducted in three tertiary hospitals in Malaysia. Chronic HF patients who received treatment between 1 January 2016 and 31 December 2018 were included in the study. The direct cost of HF was estimated from the patients' healthcare resource utilisation throughout a one-year follow-up period extracted from patients' medical records. The total costs consisted of outpatient, hospitalisation, medications, laboratory tests and procedure costs, categorised according to ejection fraction (EF) and the New York Heart Association (NYHA) functional classification.
Results: A total of 329 patients were included in the study. The mean ± standard deviation of total cost per HF patient per-year (PPPY) was USD 1,971 ± USD 1,255, of which inpatient cost accounted for 74.7% of the total cost. Medication costs (42.0%) and procedure cost (40.8%) contributed to the largest proportion of outpatient and inpatient costs. HF patients with preserved EF had the highest mean total cost of PPPY, at USD 2,410 ± USD 1,226. The mean cost PPPY of NYHA class II was USD 2,044 ± USD 1,528, the highest among all the functional classes. Patients with underlying coronary artery disease had the highest mean total cost, at USD 2,438 ± USD 1,456, compared to other comorbidities. HF patients receiving angiotensin-receptor neprilysin-inhibitor (ARNi) had significantly higher total cost of HF PPPY in comparison to patients without ARNi consumption (USD 2,439 vs. USD 1,933, p < 0.001). Hospitalisation, percutaneous coronary intervention, coronary angiogram, and comorbidities were the cost predictors of HF.
Conclusion: Inpatient cost was the main driver of healthcare cost for HF. Efficient strategies for preventing HF-related hospitalisation and improving HF management may potentially reduce the healthcare cost for HF treatment in Malaysia.