Applied Health Economics and Health Policy最新文献

Background: Tanzania recently changed its antenatal care (ANC) guidelines to reduce perinatal mortality and improve the experience of pregnancy care. The new guideline recommends increasing the number of ANC visits from four to eight and introducing one routine ultrasound scan, among other recommendations. We estimated the budget impact of implementing the new guideline compared to the previous focused ANC guideline at public dispensaries and health centers.

Method: In a dynamic Markov model, we prospectively followed annual cohorts of between 2.3 and 2.6 million pregnant women who will be attending ANC at dispensaries and health centers for 5 years. We allowed a population of pregnant women into the model every year and women exit the model at delivery. We calculated the cost of medicines, medical supplies, and laboratory supplies required to produce services from a public health system perspective. Our model neither estimated condition-related costs nor health effects. The budget impact was calculated as the difference in the estimated costs between the two guidelines. We conducted scenario analyses to explore attending more visits and different assumptions to calculate the target population.

Results: We estimated that implementing the new ANC guideline would have a cumulative budget impact of around US$154 million over 5 years. The budget required will increase from US$137 million under the focused ANC guideline to US$291 million under the new guideline. Laboratory supplies will consume 47% of the estimated budget under the new guideline. We expect the annual budget impact to be US$38 million in the first year of implementation and US$32 million in the fifth year. We assumed that by the fifth year, 82% of all pregnant women would have had four or more visits. The budget impact would increase to US$214 million, with the proportion of pregnant women attending four or more ANC visits reaching 90% within 5 years.

Conclusion: Scaling up the implementation of the new ANC guideline at public dispensaries and health centers may substantially increase the supplies required to produce ANC services, particularly laboratory supplies. Studies on the health impact of the new guideline are warranted to estimate the value for money.

Objective: Perinatal depression (PND) has emerged as a significant public health concern. There is no consensus among countries or organizations on whether to screen for PND. Despite the growing body of evidence regarding the economic value of PND screening, its cost-effectiveness remains inadequately understood due to the heterogeneity of existing studies. This study aims to synthesize the available global evidence on the cost-effectiveness of PND screening compared to routine or usual care to provide a clearer understanding of its economic value.

Methods: A detailed search strategy was predetermined to identify peer-reviewed publications that evaluated the cost-effectiveness of PND screening. We designed a scoping literature review protocol and searched electronic databases, including MEDLINE, EMBASE, and Web of Science, for studies published from inception to 10 December 2023. We included studies that conducted full economic evaluations comparing PND screening with usual care or other comparators and excluded studies that were not in English or lacked full texts. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist was used to evaluate the reporting quality of the studies. Then, the data regarding costs and effectiveness were extracted and summarized narratively.

Results: A total of ten eligible studies were included, all of which were evaluated as being of high reporting quality. Nine of these studies compared the economic value of PND screening with usual care without screening, with eight finding that PND screening was generally more cost-effective. The remaining study evaluated the cost-effectiveness of two psychosocial assessment models and indicated that both effectively identified women "at risk". Across studies, PND screening ranged from being dominant (cheaper and more effective than usual care without screening) to costing USD 17,644 per quality adjusted life year (QALY) gained. Most included studies used decision trees or Markov models to test if PND screening was cost-effective. Although current economic evaluation studies have mostly suggested PND screening could be more cost-effective than usual care without screening, there is high heterogeneity in terms of participants, screening strategies, screening settings, and perspectives across studies.

Conclusions: Despite varied settings and designs, most studies consistently indicate PND screening as cost-effective. Further evidence is also required from low- and middle-income countries (LMIC), non-Western countries, and randomized controlled trials (RCTs) to draw a more robust conclusion.

This paper considers the development and evolution of the short-form 6 dimensions (SF-6D), a generic preference-weighted measure consisting of a health classification with accompanying value set that was developed from one of the widest used health related quality of life measures, the SF-36 health survey. This enabled health state utility values to be directly generated from SF-36 and SF-12 data for a range of purposes, including to produce quality adjusted life years for use in economic evaluation of healthcare interventions across a range of different conditions and treatments. This paper considers the rationale for the development of the measure, the development process, performance and how the SF-6D has evolved since its conception. This includes the development of an updated version, SF-6D version 2 (SF-6Dv2), which was generated to deal with some criticisms of the first version, and now includes a standalone version for inclusion in studies without relying on use of SF-36 or SF-12. Valuation methods have also evolved, from standard gamble in-person interviews to online discrete choice experiment surveys. International work related to the SF-6Dv1 and SF-6Dv2 is considered. We also consider recommendations for use, highlighting key psychometric evidence and reimbursement agency recommendations.

Objectives: Smoking is an important risk factor leading to many diseases, which brings substantial healthcare costs as well as indirect costs due to decreased productivity. This article aims to quantify the social costs of smoking in the Czech Republic in 2019.

Methods: The prevalence-based, cost-of-illness approach is used, which assesses the costs as the sum of direct (healthcare) costs and indirect costs (productivity losses due to mortality and morbidity). The costs of healthcare utilization and pharmacotherapy in direct costs, and the costs of absenteeism, presenteeism, and premature mortality in indirect costs, are included.

Results: Total costs of smoking in the Czech Republic in 2019 are estimated as 2110.6 million EUR (0.94% of GDP). Direct costs amounted to 537.0 million EUR (2.9% of health expenditures in 2019) and indirect costs were 1573.6 million EUR, mainly driven by the costs of premature mortality (1062.5 million EUR).

Conclusions: Despite the declining trend in the prevalence of smoking in the Czech Republic, the associated costs are considerable. Investments into strategies to reduce smoking continue to be needed.

Background: The use of robotic-assisted surgery (RAS) is growing rapidly. However, economic evaluation of this technology is challenging. This study aims to identify and discuss the different economic evaluation methods which have been used to evaluate RAS.

Method: This scoping review systematically searched PubMed and Embase from 2015 to 2023. We included economic evaluation studies comparing RAS versus laparoscopic or open surgery. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist was used to aid data extraction and was extended to cover additional features relevant to RAS, including learning curve, organisational impact, incremental innovation and dynamic pricing.

Results: A total of 50 economic evaluations of RAS were included. Cost-utility analysis (46%) was the most commonly applied economic evaluation method, followed by cost-consequence analysis (32%). The studies focused on the specialties of urology (42%), hepato-pancreato-biliary (20%), colorectal (14%) and gynaecology (6%). Distinctive features related to the assessment of RAS were under-addressed in economic evaluations. Only 40% of the included studies considered learning curve and organisational impact and less than 12% of the included studies reflected on incremental innovation and dynamic pricing.

Conclusions: This review found that some studies have incorporated challenges specific to RAS in their evaluations. However, most studies still lack key aspects of importance. In particular, studies rarely considered the ability of RAS platforms to be shared across multiple specialities. Incorporating these distinctive features offers an opportunity for economic evaluation to provide decision-makers with a more realistic assessment of the cost-effectiveness of this technology and to ensure its optimal utilisation in clinical practice.

Objectives: Caring for individuals with spinal muscular atrophy (SMA), a rare genetic disorder, poses tremendous challenges for the economy and healthcare system. This study evaluated the cost-utility of onasemnogene abeparvovec-xioi gene therapy and risdiplam for SMA in Thailand.

Methods: A Markov model was used to analyze the lifetime costs and outcomes of these treatments compared with standard of care for symptomatic SMA types 1 and 2-3. SMA type 1 patients were treated with one of either onasemnogene or risdiplam, while SMA types 2-3 patients received risdiplam. Data on disease progression and medical costs were sourced from hospital databases, while treatment efficacy was based on clinical trials. Interviews with patients and caregivers provided data on non-medical costs and utilities. Base case cost-effectiveness and sensitivity analyses were conducted, with the incremental cost-effectiveness ratio (ICER) calculated in US dollars (USD) per quality-adjusted life year (QALY) gained, against a willingness-to-pay threshold of 4444 USD/QALY gained.

Results: For SMA type 1, the ICERs for onasemnogene and risdiplam were 163,102 and 158,357 USD/QALY gained, respectively. For SMA types 2-3, the ICER for risdiplam was 496,704 USD/QALY gained.

Conclusions: While onasemnogene and risdiplam exceeded the value-for-money threshold of the Thai healthcare system, they yielded the highest QALY gains among all approved medications. Policy-makers should incorporate various pieces of evidence alongside the cost-effectiveness results for rare diseases with costly drugs. Additionally, cost-effectiveness findings are useful for price negotiations and alternative financial funding, which allows policy-makers to seek solutions to ensure patient access, aligning with universal health coverage principles in Thailand.

Background: The National Health Service (NHS) in England has set a target to be net zero for carbon emissions by 2045. The aim of this study was to investigate how changes in key aspects of clinical practice over the last 8 years have contributed towards reducing the per-patient carbon footprint of elective total hip arthroplasty (THA).

Methods: This was a retrospective analysis of administrative data. Data were extracted from the Hospital Episode Statistics database for all adult (≥ 17 years), primary, elective THA procedures conducted in England from 1 April, 2014 to 31 March, 2022. The estimated carbon footprint for key elements of the surgical pathway were calculated based on data from Greener NHS and the Sustainable Healthcare Coalition.

Results: Data were available for 537,441 THA procedures conducted during the study period. The per-patient carbon footprint associated with the primary THA (index) procedure fell by around 25% from 2014/15 to 2021/22. Length of stay was by far the largest contributor to this decline, falling from 169.1 kgCO₂e to 117.6 kgCO₂e per patient from 2014/15 to 2021/22. Absolute declines in the carbon footprint associated with emergency readmissions, revisions and outpatient attendances were more modest. If all patients in all years had the 2021/22 average carbon footprint, then carbon equivalent to powering 19,976 UK homes for 1 year would have been saved.

Conclusions: Improving per-patient efficiency of surgery is likely to contribute towards meeting the NHS's net-zero target whilst also helping to improve patient outcomes, reduce costs and cut waiting lists.

Introduction

Recent studies suggest that medical cannabis laws may contribute to a relative reduction in health insurance costs within the individual health insurance markets at the state level. We investigated the effects of adopting a medical cannabis law on the cost of employer-sponsored health insurance in the United States.

Methods

We analyzed state-level data from the Medical Expenditure Panel Survey–Insurance Component (MEPS-IC) Private Sector spanning from 2003 to 2022. The outcomes included log-transformed average total premium costs per employee for single, employee-plus-one, and family coverage plans. We utilized the Sun and Abraham (J Econometr 225(2):175–199, 2021) difference-in-difference (DiD) method, looking at the overall DiD and event-study DiD. Models were adjusted for various state-level demographics and dichotomous policy variables, including whether a state later adopted recreational cannabis, as well as time and unit fixed effects and population weights.

Results

For states that adopted a medical cannabis law, there was a significant decrease in the log average total premium per employee for single (−0.034, standard error [SE] 0.009 (−$238)) and employee-plus-one (−0.025, SE 0.009 (−$348)) coverage plans per year considering the first 10 years of policy change compared with states without such laws. Looking at the last 5 years of policy change, we saw increases in effect size and statistical significance. In-time placebo testing suggested model robustness. Under a hypothetical scenario where all 50 states adopted medical cannabis in 2022, we estimated that employers and employees could collectively save billions on healthcare coverage, potentially reducing healthcare expenditure's contribution to GDP by 0.65% in 2022.

Conclusion

Adoption of a medical cannabis law may contribute to decreases in healthcare costs. This phenomenon is likely a secondary effect and suggests positive externalities outside of medical cannabis patients.