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BOOKS OF RtfiDIfGS - PAHO/WHO

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- 368 -<br />

Application of Cost-Benefit Analysis to Health Se~vlc /<br />

sud billlnS, the evaluation of compuler performance is straightforward. Docs it r~edu<br />

costs? If o, by how much?<br />

Medical Sa~ice Even when the computer helps in diagnosis the test is still coet<br />

reduction, if an older way of performing the same task is being replaced. There may be a<br />

complication, however. The cost of operating the computer falls on the hospital, whil<br />

savings in physician time accrue to the attending physician. The presence of distributional<br />

considerations suggests that the decision reached is not independent of who the decision<br />

maker is, or who exerts predominant influence on hia.<br />

Apart from the distributional considerations of who pays and who saves, evaluation of<br />

the worthwhileness of the computer in assisting in diagnosis is no different from the way<br />

another ancillary medical service, the laboratory, is evaluated. With respect to services<br />

that were rendered in the past, the test is simple. Does the new equipment save money or<br />

does it expand services for the same amount of money? In the laboratory additional and<br />

more costly equipment does replace technical personnel. A possible offset is the tendency<br />

to prescribe more services (95), although within the limits of existing capacity of<br />

equipment and staff the marginal cost of additional units of service is low. What is not<br />

known is how much good is accomplished, particularly in the absence of information on<br />

the timeliness of delivery of the reports on these services.<br />

Flagle (93) has reported economies achieved in patient surveillance due to continuity<br />

of use of the monitoring system in infusing blood. This finding strikes me as analogous to<br />

the finding in his early work (96) that a single channel is more efficient than two channels<br />

when the demand for services vanes stochastically.<br />

The intensive care unit is a more complex operation to evaluate. To the extent that it<br />

substitutes equipment for nurses it should cost less. However, the unit is also intended to<br />

save lives. The yield in life-years gained is properly subject to more sophisticated analysis.<br />

From this discussion it appears that cost-benefit or cost-effectiveness analysis is a<br />

plausible approach only if the service rendered is a new one or if the old product has<br />

changed appreciably, gaining new dimensions. When all benefits take the form of savings<br />

in health resources, that is, are direct and tangible benefits, the appropriate form of<br />

analysis is cost-benefit. When the preponderant benefits are intangible or life-saving, the<br />

dilemma is to choose between cost-benefit and cost-effectiveness analysis. On the one<br />

hand, cost-effectiveness analysis is easier to perform, since intangible benefits need only<br />

be measured but not valued. Indeed, according to Feldstein (97), even the problem of<br />

choice of discount rate is simpler in the case of cost-effectiveness analysis, with only the<br />

social time preference rate being relevant. On the other hand, to resort to<br />

cost-effectiveness analysis is to give up in advance whatever help analysis can offer in<br />

choosing among several objectives or program areas. It then becomes necessary to malke<br />

the choice among programs on other grounds, as the Gottschalk Committee did.<br />

1 am unable to discern a general resolution to this dilemma. It is certainly not evident<br />

how to establish priorities in a systematic way when cost-benefit analysis is abandoned.<br />

Perhaps the choice can still be made in a practicable way, with reasons explicitly stated,<br />

when remarkable benefits are under consideration, as in the treatment of end-stage<br />

kidney disease. When the benefits in question are modest but difficult to value, how is<br />

one to decide whether or not to adopt a particular piece of technology? To follow the<br />

lead of pace-setting organizations is almost always to say yes. Perhaps we should put trust<br />

in our ability to continue to improve the valuation of intangible bnefits in the<br />

future (28). Setting standard values on gains in life expectancy at various ages would

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