Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
98%
921
2 minutes
20
Background: Preventive treatment of unruptured intracranial aneurysms (UIAs) has the potential to reduce aneurysmal subarachnoid hemorrhage (SAH) incidence. Population-wide screening (PWS) for UIAs has been disregarded, as it remains unclear how to manage low-risk UIAs. Higher cost for SAH treatment, along with improvements in UIA treatment decision-making, might improve the risk-benefit and cost-benefit ratios for PWS. Currently, blood-based screening tests for UIAs are under development and might be suitable for use in PWS.
Aims: This study sets out to identify what health economic criteria should be met by a hypothetical UIA screening test to justify PWS.
Methods: A Markov model was built to compare PWS versus standard of care. Model parameterization was done using real-world data derived from the population cared for by the RWTH Aachen University Hospital. Data in relation to SAH were derived from a prospective registry of consecutive SAH patients (n = 275). In addition, a database of newly diagnosed UIAs was retrospectively collected (n = 139). Incremental cost-effectiveness ratios (ICERs) were calculated to illustrate the annual cost per additional quality-adjusted life year (QALY). Sensitivity analyses were performed to determine at which price point the PWS strategy would become cost-effective based on different levels of willingness-to-pay (WTP).
Results: In a one-way sensitivity analysis, the price of a hypothetical screening test was varied between €1 and €811.3 (mean cost of magnetic resonance angiography). In case of a WTP of €50,000 per QALY gained, the cost per test may be €225.72 and remain cost-effective. If the same test could also be used for watchful-waiting in low-risk patients (i.e. assess the risk of aneurysm growth), the price may increase up to €294.19. There is no price point at which PWS would become dominant and yield negative ICERs.
Conclusion: PWS for UIAs is unlikely to be cost-effective, even with new blood screening technologies. However, once patents expire, and price monopolies are broken, use of such technologies may become more attractive for health policymakers, depending on their WTP.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/17474930251344506 | DOI Listing |