Impact of Public Policy and COVID-19 Pandemic on Hepatitis C Testing and Treatment in France, 2014-2021.

Given the World Health Organization's target to eliminate the hepatitis C virus (HCV) by 2030, we assessed the impact of French public policies and the COVID-19 pandemic on HCV testing and initiation of direct-antiviral agents (DAAs). Using the French National Health Data System, we identified individuals living in metropolitan France with at least one reimbursement for an anti-HCV test and those with a first delivery of DAAs between 1 January 2014 and 31 December 2021. During this period, the annual number of people tested increased each year between 3.3 (in 2015) and 9.3% (in 2021), except in 2020, with a drop of 8.3%, particularly marked in April (-55.0% compared to February 2020). A return to pre-pandemic testing levels was observed in 2021. The quarterly number of patients initiating DAAs presented an upward trend from Q1-2014 until mid-2017, with greater increases in Q1-2015, and Q1- and Q2-2017, concomitant with DAA access policies and availability of new therapies. Then, quarterly numbers decreased. A 65.5% drop occurred in April compared to February 2020. The declining DAA initiations since mid-2017, despite new measures improving access and screening efforts, could be due to the shrinking pool of patients requiring treatment and a need to increase awareness among undiagnosed infected people. Further action is needed to eliminate HCV in France.

[Real-world study of the consumption between 2017 and 2020 of anti-cancer medications that inhibit cyclin- dependent kinases 4 and 6]. / Étude en vie réelle de la consommation de médicaments anticancéreux inhibiteurs des kinases cycline-dépendantes 4 et 6 entre 2017 et 2020.

The real-world study of data from the Système National des Données de Santé (French System of Health Data) in relation to therapeutic indications that give entitlement to having Assurance Maladie (Health-Insurance Fund) pay for, or reimburse the cost of, inhibitors of cyclin-dependent kinases 4 and 6 (iCDK4/6) shows that the target population defined by the Haute Autorité de santé (HAS-National Health Authority) has been significantly exceeded ; in addition, there is a gap with respect to reimbursable indications and therapeutic strategy. The HAS has set the upper limit of the eligible population at 5 320 new patients per year, but in 2019, Assurance Maladie reimbursed iCDK4/6-related costs for 10 894 patients, i.e. double the number. Therapeutic strategies are found that do not comply with the opinions of the commission de la transparence (transparency commission) in 30 % of cases, and that do not comply with reimbursable therapeutic indications in 22 % of cases. Patient profiles are not in line with reimbursable indications in terms of age (women aged under 50 and, a priori, non-menopausal) and sex (men) in 14 % of cases. Furthermore, treatment seems to be started at an advanced stage of the disease, based on the number of deaths observed after treatment is started: 13% of patients died in the year following the start of treatment, including 26 % in the first three months. There is a significant volume of treatment being started, but there is also a significant volume of stoppage. One third of patients for whom treatment was started in 2019 had their treatment stopped after less than one year, including half after less than three months.

Costs and Outcomes of 1-year post-discharge care trajectories of patients admitted with infection due to antibiotic-resistant bacteria.

BACKGROUND: The impact of antibiotic resistance (AMR) on initial hospital management has been extensively studied but its consequences after hospital discharge remain largely unknown. We aimed to analyze hospital care trajectories, cumulative length of hospital stays (c-LOS) and associated costs of care over a 1-year period after hospitalization with incident AMR infection. METHOD: All incident bacterial infection-related hospitalizations occurring from January 1, 2015, to December 31, 2015 and recorded in the French national health data information system were extracted. Bacterial resistance ICD-10 codes determined six infection status. Inpatient and outpatient care consumption and associated costs were studied. The impact of resistance on c-LOS was estimated using a Poisson regression. A sequence analysis through optimal matching method was conducted to identify hospital trajectories along with an extrapolation. FINDING: Of the 73,244 patients selected, 15.9% had AMR infection, thus providing 58,286 incident AMR infections after extrapolation. c-LOS was significantly longer for infections with resistant bacteria, reaching 20.4 days and 2.9 additional days IC95%[2.6; 3.2] for skin and soft tissue infections. An estimated 29,793 (51.1%) patients had hospital readmission within the following year, for a total cost of €675 million. Five post-discharge trajectories were identified: Post-hospitalization mainly at home (68.4% of patients); Transition to home from rehabilitation care (12.3%); Early death (<3 months) (9.7%); Late death (7.4%), and Long-term hospitalization (2.2%). INTERPRETATION: AMR has an impact on patients' c-LOS stay beyond the initial hospitalization. Half of patients hospitalized due to AMR are readmitted to hospital within the ensuing year, along five different trajectories. FUNDING: French Ministry of health.

A Payer Perspective of the Hospital Inpatient Additional Care Costs of Antimicrobial Resistance in France: A Matched Case-Control Study.

BACKGROUND AND OBJECTIVE: Antimicrobial resistance (AMR) has become one of the biggest threats to global public health given its association with mortality, morbidity and cost of health care. However, little is known on the economic burden of hospitalization attributable to AMR from a public health insurance perspective. We assessed the excess costs to the French public health insurance system attributable to AMR infections in hospitals. METHODS: Bacterial infectious disease-related hospitalizations were extracted from the National health data information system for all stays occurring in 2015. Bacterial infections, strains, and microbial resistance were identified by specific French ICD-10 codes. Information about health care expenditure, co-morbidities and demographic characteristics (i.e. gender, age) are provided. We used a matched case-control approach to determine the excess of reimbursements paid to stays with AMR compared to stays with an infection without resistance. Cases and controls were matched on gender, age, Charlson comorbidity index, category of infection, infection as principal diagnosis (two classes), microorganism and hospital status. The overall AMR cost was extrapolated to stays with AMR and excluded from the sample (multiple infections), and a second extrapolation was performed to consider stays with unknown resistance status. RESULTS: The final sample included 52,921 matched-pairs (98.2% cases). Our results suggest that AMR overall cost reached EUR109.3 million in France with a mean of EUR1103 per stay; extrapolation to the entire database shows that the overall cost could potentially reach EUR287.1 million if all cases would be identified. The mean excess length of hospital stay attributable to AMR was estimated at 1.6 days. CONCLUSION: AMR causes substantial cost burden in France for the public health insurance. Our study confirms the need to reinforce programs to prevent AMR infection and thereby reduce their economic burden.

The economic burden of diabetes to French national health insurance: a new cost-of-illness method based on a combined medicalized and incremental approach.

A better understanding of the economic burden of diabetes constitutes a major public health challenge in order to design new ways to curb diabetes health care expenditure. The aim of this study was to develop a new cost-of-illness method in order to assess the specific and nonspecific costs of diabetes from a public payer perspective. Using medical and administrative data from the major French national health insurance system covering about 59 million individuals in 2012, we identified people with diabetes and then estimated the economic burden of diabetes. Various methods were used: (a) global cost of patients with diabetes, (b) cost of treatment directly related to diabetes (i.e., 'medicalized approach'), (c) incremental regression-based approach, (d) incremental matched-control approach, and (e) a novel combination of the 'medicalized approach' and the 'incremental matched-control' approach. We identified 3 million individuals with diabetes (5% of the population). The total expenditure of this population amounted to €19 billion, representing 15% of total expenditure reimbursed to the entire population. Of the total expenditure, €10 billion (52%) was considered to be attributable to diabetes care: €2.3 billion (23% of €10 billion) was directly attributable, and €7.7 billion was attributable to additional reimbursed expenditure indirectly related to diabetes (77%). Inpatient care represented the major part of the expenditure attributable to diabetes care (22%) together with drugs (20%) and medical auxiliaries (15%). Antidiabetic drugs represented an expenditure of about €1.1 billion, accounting for 49% of all diabetes-specific expenditure. This study shows the economic impact of the assumption concerning definition of costs on evaluation of the economic burden of diabetes. The proposed new cost-of-illness method provides specific insight for policy-makers to enhance diabetes management and assess the opportunity costs of diabetes complications' management programs.

End-Of-Life Medical Spending In Last Twelve Months Of Life Is Lower Than Previously Reported.

Although end-of-life medical spending is often viewed as a major component of aggregate medical expenditure, accurate measures of this type of medical spending are scarce. We used detailed health care data for the period 2009-11 from Denmark, England, France, Germany, Japan, the Netherlands, Taiwan, the United States, and the Canadian province of Quebec to measure the composition and magnitude of medical spending in the three years before death. In all nine countries, medical spending at the end of life was high relative to spending at other ages. Spending during the last twelve months of life made up a modest share of aggregate spending, ranging from 8.5 percent in the United States to 11.2 percent in Taiwan, but spending in the last three calendar years of life reached 24.5 percent in Taiwan. This suggests that high aggregate medical spending is due not to last-ditch efforts to save lives but to spending on people with chronic conditions, which are associated with shorter life expectancies.