We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
According to international experience in the field of hospital-based health technology assessment (HB-HTA), most of the implemented new health technologies must undergo a clinical and economic assessment (CEA) of their viability by creating a mini-health technology assessment report. However, HB-HTA should not be limited only to the initial CEA; further monitoring of the effectiveness of implemented new health technologies is necessary.
Methods
We developed a special reporting form for creating a CEA of implemented new health technologies and integrated it into the hospital information system. Indicators of clinical effectiveness are determined individually for each implemented technology. The main indicators of economic effectiveness are financial results (or net profit) and profitability—high-cost and high-tech health technologies have priority for monitoring.
Results
In order to ensure a more detailed and complete CEA of implemented health technologies, the following measures were proposed: (i) before implementing the technology, determine the key clinical effectiveness criteria for further monitoring for each implemented health technology; (ii) if possible, determine comparative technologies (alternatives or analogs) for conducting comparative CEA of the implemented health technologies; and (iii) carry out a prospective CEA of the implemented health technologies with a view to publishing the results.
Conclusions
The organization of a continuous monitoring process that analyzes the effectiveness and usage of new health technologies in hospital practice will allow assessment of the following: the clinical effectiveness and safety of the implemented technologies in comparison with world data; the economic effectiveness of the technology, including an accurate calculation of the payback period for investments; and the “real” data on the effectiveness of implemented health technologies in comparison with the initial request for implementation.
ABC-VEN analysis is an easy method of clinical and economic analysis on the costs of drug coverage and an important tool for monitoring and ensuring the rational use of medicines. However, this methodology is difficult to apply in assessing the viability of medical equipment procurement (MEP) in hospital. Using a combined model of ABC analysis and Multiple criteria decision analysis (MCDA) may be more appropriate to apply to MEP.
Methods
We created five standardized criteria, which present the main results of assessment of the viability of MEP for implementing new health technologies (HTs). These criteria address the following: 1) Novelty/innovation; 2) Comparative clinical effectiveness and safety; 3) Relevance (demand); 4) Economic effectiveness; and 5) Payback period. Based on these criteria we determine the threshold values of priority for MEP: 1) High priority; 2) Medium priority; 3) Low priority.
Results
Using the ABC model and five standardized criteria, we analyzed all proposals from the Hospital units for implementing new HTs connected with MEP for 2018. In total, proposals contained 11 items of ME, among them three items were in group A (27%), two items were in group B (18%), and six items were in group C (55%). All items were high priority for procurement with the exception of one item from group B with medium priority. Items with low priority were not revealed which can be considered as a direct indicator of the operational effectiveness of Hospital-based HTA Unit. Excluding ME with a medium priority from the procurement plan would reduce Hospital costs by 13.5 percent.
Conclusions
Combined ABC and MCDA analysis in the process of assessment the viability of MEP can give the opportunity to make comparative assessment of different types of ME based on standardized criteria; determine the priority for procurement of new ME; and avoid the influence of subjective factors of the managerial decision-making process in hospital.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.