Rehabilitation technologies offer promising opportunities for interventions for patients with motor disabilities. However, their use in routine care remains limited due to their high cost and persistent doubts about their cost-effectiveness. Providing solid evidence of the economic efficiency of rehabilitation technologies would help dispel these doubts in order to better take advantage of these technologies. In this context, this systematic review aimed to examine the cost-effectiveness of rehabilitation interventions based on the use of digital technologies. In total, 660 articles published between 2011 and 2021 were identified, of which eleven studies met all the inclusion criteria. Of these eleven studies, seven proved to be cost-effective, while four were not. Four studies used cost-utility analyses (CUAs) and seven used cost-minimization analyses (CMAs). The majority (ten studies) focused on the rehabilitation of the upper and/or lower limbs after a stroke, while only one study examined the rehabilitation of the lower limbs after knee arthroplasty. Regarding the evaluated devices, seven studies analyzed the cost-effectiveness of robotic rehabilitation and four analyzed rehabilitation with virtual reality.The assessment of the quality of the included studies using the CHEERS (Consolidated Health Economic Evaluation Reporting Standards) suggested that the quality was related to the economic analysis method: all studies that adopted a cost-utility analysis obtained a high quality score (above 80%), while the quality scores of the cost-minimization analyses were average, with the highest score obtained by a CMA being 72%. The average quality score of all the articles was 75%, ranging between 52 and 100. Of the four studies with a considering score, two concluded that there was equivalence between the intervention and conventional care in terms of cost-effectiveness, one concluded that the intervention dominated, while the last one concluded that usual care dominated. This suggests that even considering the quality of the included studies, rehabilitation interventions based on digital technologies remain cost-effective, they improved health outcomes and quality of life for patients with motor disorders while also allowing cost savings.
Background: Fibromyalgia is a chronic rheumatic disease of unknown aetiology, highly disabling and mainly affecting women. The aim of our work is to estimate, on a national scale, the economic impact of this disease on the employment of patients and non-professional (informal) care dimension.
Methods: Survey on Disabilities, Autonomy and Dependency carried out in Spain in 2020/21 was used to obtain information on disabled individuals with AD and their informal caregivers. Six estimation scenarios were defined as base case, depending on whether the maximum daily informal caregiving time was censored or not, and on the approach chosen for the valuation of informal caregiving time (contingent valuation and replacement time). Another six conservative scenarios were developed using the minimum wage for the estimation of labour losses.
Results: Our estimates range from 2,443.6 (willingness to pay, censored informal care time) to 7,164.8 million euros (replacement cost, uncensored informal care time) (base year 2021). Multivariate analyses identified that the degree of dependency of the person suffering from fibromyalgia is the main explanatory variable for both the probability of being employed and the time spent in informal care. Conservative scenarios estimates range from 1,807 to 6,528 million euros.
Conclusions: The high economic impact revealed should help to position a health problem that is relatively unknown in society and for which there are significant research and care gaps to be filled.
Background: Healthcare corruption poses a significant threat to individuals, institutions, sectors, and states. Combating corruption is paramount for protecting patients, maintaining the healthcare system's integrity, and preserving public trust. As corruption evolves, takes new forms, and adapts to changing socio-political landscapes, understanding its manifestations is critical to developing effective anti-corruption strategies at individual and institutional levels.
Objective: The aim was to comprehensively collate the manifestations of different types of corruption in healthcare to illustrate prevailing patterns and trends and to provide policymakers, practitioners, and researchers with practical insights to inform research agendas, regulatory and governance strategies, and accountability measures.
Method: We conducted a narrative review of scientific articles published between 2013 and 2022 using keyword searches in SCOPUS and EBSCO. We utilized the corruption typology proposed by the European Union and Thompson's Institutional Corruption Framework to systematically identify manifestations across different corruption types. The Prisma scheme was employed to document the selection process and ensure reproducibility.
Findings: Bribery in medical service provision was the most frequently investigated form of corruption, revealing rather uniform manifestations. Misuse of high-level positions and networks and institutional corruption also received considerable attention, with a wide range of misconduct identified in institutional corruption. Extending the analysis to institutional corruption also deepened the understanding of misconduct in the context of improper marketing relations and highlighted the involvement of various stakeholders, including academia. The pandemic exacerbated the vulnerability of the healthcare sector to procurement corruption. Also, it fostered new types of misconduct related to the misuse of high-level positions and networks and fraud and embezzlement of medical drugs, devices, and services.
Conclusions: The review spotlights criminal actions by individuals and networks and marks a notable shift towards systemic misconduct within specific types of corruption. The findings highlight the necessity of customized anti-corruption strategies throughout the healthcare sector. These insights are crucial for policymakers, practitioners, and researchers in guiding the formulation of legal frameworks at local and global levels, governance strategies, and research priorities.
Since 2017, immune checkpoint inhibitors (ICIs) have been available for the treatment of advanced hepatocellular carcinoma (HCC) or unresectable HCC, but their adoption into national medical insurance programs is still limited. Cost-effectiveness evidence can help to inform treatment decisions. This systematic review aimed to provide a critical summary of economic evaluations of ICIs as a treatment for advanced HCC and identify key drivers (PROSPERO 2023: CRD42023417391). The databases used included Scopus, Web of Science, PubMed, Embase, and Cochrane Central. Economic evaluations of ICIs for the treatment of advanced HCC were included. Studies were screened by two people. Of the 898 records identified, 17 articles were included. The current evidence showed that ICIs, including atezolizumab plus bevacizumab, sintilimab plus bevacizumab/bevacizumab biosimilar, nivolumab, camrelizumab plus rivoceranib, pembrolizumab plus lenvatinib, tislelizumab, durvalumab, and cabozantinib plus atezolizumab, are probably not cost-effective in comparison with tyrosine kinase inhibitors or other ICIs. The most influential parameters were price of anticancer drugs, hazard ratios for progression-free survival and overall survival, and utility for health statest. Our review demonstrated that ICIs were not a cost-effective intervention in advanced HCC. Although ICIs can significantly enhance the survival of patients with advanced HCC, decision-makers should consider the findings of economic evaluations and affordability before adoption of new therapies.
Background: Significant gaps in scholarship on the cost-benefit analysis of haemodialysis exist in low-middle-income countries, including Nigeria. The study, therefore, assessed the cost-benefit of haemodialysis compared with comprehensive conservative care (CCC) to determine if haemodialysis is socially worthwhile and justifies public funding in Nigeria.
Methods: The study setting is Abuja, Nigeria. The study used a mixed-method design involving primary data collection and analysis of secondary data from previous studies. We adopted an ingredient-based costing approach. The mean costs and benefits of haemodialysis were derived from previous studies. The mean costs and benefits of CCC were obtained from a primary cross-sectional survey. We estimated the benefit-cost ratios (BCR) and net benefits to determine the social value of the two interventions.
Results: The net benefit of haemodialysis (2,251.30) was positive, while that of CCC was negative (-1,197.19). The benefit-cost ratio of haemodialysis was 1.09, while that of CCC was 0.66. The probabilistic and one-way sensitivity analyses results demonstrate that haemodialysis was more cost-beneficial than CCC, and the BCRs of haemodialysis remained above one in most scenarios, unlike CCC's BCR.
Conclusion: The benefit of haemodialysis outweighs its cost, making it cost-beneficial to society and justifying public funding. However, the National Health Insurance Authority requires additional studies, such as budget impact analysis, to establish the affordability of full coverage of haemodialysis.
Background: Given the rapid population aging in China, achieving universal health coverage (UHC) presents a primary challenge in addressing unmet healthcare needs and associated inequalities among middle-aged and older adults. Several studies have focused on healthcare utilization and its inequalities, but little attention has been paid to the inequality in unmet healthcare needs. This study aimed to analyze the inequalities in unmet the healthcare needs of middle-aged and older adults in eastern China during the progression toward UHC.
Methods: Data were obtained from the fourth, fifth, and sixth National Health Service Survey (NHSS) of Jiangsu Province, located in eastern China, during the years 2008, 2013, and 2018, respectively. Logistic regression models were used to assess the associated factors of unmet healthcare needs. The inequality was measured according to the concentration index (CI) and its decomposition.
Results: In this study, we found that 12.86%, 2.22%, and 48.89% of middle-aged and older adults reported unmet needs for outpatient and inpatient services and physical examinations, respectively. The prevalence of unmet outpatient needs increased from 2008 to 2018, while the prevalence of unmet inpatient services was lower but maintained. The prevalence of unmet needs for physical examinations among middle-aged and older adults markedly decreased since 2008. Rural areas had a higher prevalence of unmet needs for inpatient services and physical examinations than urban areas. Unmet healthcare needs were more prevalent among the poor. The pro-poor inequalities of unmet healthcare needs have been mitigated during the progression toward UHC; however, they remain predominant among rural middle-aged and older adults for outpatient and inpatient services. Socioeconomic factors significantly influenced unmet healthcare needs and contributed to their inequalities.
Conclusions: The findings characterize the prevalence and inequality of unmet healthcare need among middle-aged and older adults in eastern China during the progression toward UHC. Policy interventions should be actively advocated to effectively mitigate the unmet healthcare needs and address the associated inequalities.
Background: Hospital services are typically reimbursed using case-mix tools that group patients according to diagnoses and procedures. We recently developed a case-mix tool (i.e., the Queralt system) aimed at supporting clinicians in patient management. In this study, we compared the performance of a broadly used tool (i.e., the APR-DRG) with the Queralt system.
Methods: Retrospective analysis of all admissions occurred in any of the eight hospitals of the Catalan Institute of Health (i.e., approximately, 30% of all hospitalizations in Catalonia) during 2019. Costs were retrieved from a full cost accounting. Electronic health records were used to calculate the APR-DRG group and the Queralt index, and its different sub-indices for diagnoses (main diagnosis, comorbidities on admission, andcomplications occurred during hospital stay) and procedures (main and secondary procedures). The primary objective was the predictive capacity of the tools; we also investigated efficiency and within-group homogeneity.
Results: The analysis included 166,837 hospitalization episodes, with a mean cost of € 4,935 (median 2,616; interquartile range 1,011-5,543). The components of the Queralt system had higher efficiency (i.e., the percentage of costs and hospitalizations covered by increasing percentages of groups from each case-mix tool) and lower heterogeneity. The logistic model for predicting costs at pre-stablished thresholds (i.e., 80th, 90th, and 95th percentiles) showed better performance for the Queralt system, particularly when combining diagnoses and procedures (DP): the area under the receiver operating characteristics curve for the 80th, 90th, 95th cost percentiles were 0.904, 0.882, and 0.863 for the APR-DRG, and 0.958, 0.945, and 0.928 for the Queralt DP; the corresponding values of area under the precision-recall curve were 0.522, 0.604, and 0.699 for the APR-DRG, and 0.748, 0.7966, and 0.834 for the Queralt DP. Likewise, the linear model for predicting the actual cost fitted better in the case of the Queralt system.
Conclusions: The Queralt system, originally developed to predict hospital outcomes, has good performance and efficiency for predicting hospitalization costs.
Background: Indonesia has the world's second-highest tuberculosis (TB) burden, with 969,000 annual TB infections. In 2017, Indonesia faced significant challenges in TB care, with 18% of cases missed, 29% of diagnosed cases unreported, and 55.4% of positive results not notified. The government is exploring a new approach called "strategic purchasing" to improve TB detection and treatment rates and offer cost-effective service delivery.
Objectives: We aimed to analyze the financial impact of implementing a TB purchasing pilot in the city of Medan and assess the project's affordability and value for money.
Methods: We developed a budget impact model to estimate the cost-effectiveness of using strategic purchasing to improve TB reporting and treatment success rates. We used using data from Medan's budget impact model and the Ministry of Health's guidelines to predict the total cost and the cost per patient.
Results: The model showed that strategic purchasing would improve TB reporting by 63% and successful treatments by 64%. While this would lead to a rise in total spending on TB care by 60%, the cost per patient would decrease by 3%. This is because more care would be provided in primary healthcare settings, which are more cost-effective than hospitals.
Conclusions: While strategic purchasing may increase overall spending, it could improve TB care in Indonesia by identifying more cases, treating them more effectively, and reducing the cost per patient. This could potentially lead to long-term cost savings and improved health outcomes.
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