| Literature DB >> 32696192 |
David D Kim1,2, Madison C Silver3, Natalia Kunst4,5,6, Joshua T Cohen3,7, Daniel A Ollendorf3,7, Peter J Neumann3,7.
Abstract
OBJECTIVE: Our objective was to examine perspective and costing approaches used in cost-effectiveness analyses (CEAs) and the distribution of reported incremental cost-effectiveness ratios (ICERs).Entities:
Year: 2020 PMID: 32696192 PMCID: PMC7373843 DOI: 10.1007/s40273-020-00942-2
Source DB: PubMed Journal: Pharmacoeconomics ISSN: 1170-7690 Impact factor: 4.981
Perspective used in published cost-effectiveness analyses, 1974–2018 (N = 6907)
| Perspectives | Cost per QALY gained (1974–2018) | Cost per DALY averted (1995–2018) | Both types of studies (1974–2018) | |||
|---|---|---|---|---|---|---|
| As stated by authors | As determined by reviewers | As stated by authors | As determined by reviewers | As stated by authors | As determined by reviewers | |
| Societal/limited societal | 1556 (22.5) | 1165 (16.9) | 198 (28.4) | 222 (31.9) | 1754 (23.1) | 1387 (18.2) |
| Healthcare sector/payer | 3846 (55.7) | 5160 (74.7) | 343 (49.1) | 457 (65.4) | 4189 (55.1) | 5617 (73.9) |
| Not stated/could not be determineda | 1408 (20.4) | 527 (7.6) | 142 (20.4) | 10 (1.4) | 1550 (20.4) | 537 (7.1) |
| Other | 97 (1.4) | 55 (0.8) | 15 (2.2) | 9 (1.3) | 112 (1.5) | 64 (0.8) |
| Total | 6907 (100) | 6907 (100) | 698 (100) | 698 (100) | 7605 (100) | 7605 (100) |
Data are presented as N (%)
DALY disability-adjusted life-year, QALY quality-adjusted life-year
aAuthors did not provide sufficient information to determine types of costs or benefits evaluated
Fig. 1Trends in analytic perspectives used in cost-per-QALY studies: 1974–2018 (N = 6,907). With relatively small number of cost-per-QALY studies published prior to 1990 (n = 18, 0.3%), the Figure shows the data points since 1990. A similar figure for cost-per-DALY studies is available in the Online Supplement Figure A
Fig. 2Cost components included in published cost-effectiveness analyses. *Future unrelated medical cost data was not available for cost-per-QALY studies. Due to the changes in the data collection methodology, we were only able to obtain cost components included in cost-per-QALY literature published since 2013 (N = 2,839 out of 6,907)
Fig. 3Incremental cost-effectiveness ratios by the inclusion of non-health components. Note: The size of the circle represents the volume of included studies for each perspective non-health components. For studies that included each cost component, the center of the circle denotes the median incremental cost-effectiveness ratios (ICER) while the lines extend to the 25th and 75th percentiles, the inter-quartile range (IQR). Due to the wide IQR of some ICERs, Lines extending to the x-axis represent interventions that were cost-saving at the 25th percentile. None of the cost-per-DALY studies included productivity or non-healthcare sector costs
Fig. 4Recommended perspectives across 45 national guidelines on health technology assessment. Note: The Figure used the world map frame
available at https://pngimg.com/imgs/miscellaneous/world_map/
| The analytic perspective assumed in cost-effectiveness analysis determines which costs and benefits are included. Despite its importance, study authors often mis-specified or did not clearly state the perspective used. |
| When a societal perspective was used, authors often did not apply it as broadly as intended. Only a few non-health consequences, such as productivity or transportation, were considered, whereas broader non-healthcare sector impacts were seldom examined. |
| The use of a healthcare payer or a healthcare sector perspective persists in most published studies and national guidelines because “relevant” non-health benefits and costs are often difficult to define and may depend on the context. The consistent use of the impact inventory and reporting of disaggregate outcomes can help reduce discrepancies across analyses capturing non-health consequences. |