Is Technological CHange Worth It? Essay Start.. 1st draft
In the early part of the course we watched webcasts of two seminars, and I asked you to read the transcript of the seminars and journal articles associated with each seminar. Choose one of the two presenters/authors (Eisenberg or Cutler-Mclelland) and write a short essay (max 1000 words) that critically explains and summarizes the key-ideas and arguments of the author(s) about the "value of medical innovations".
My Essay
Intro
Cutler and McClellan use the cost benefit approach to analyze the value of medical technology in 5 conditions. They conclude that medical spending as a whole is worth the increased cost of health care today. On the whole I agree with the approach used by the authors in coming to this conclusion, but I would like to discuss some of the assumptions and assertions made by the authors as I think some of them lack saliency.
Overall, the cost benefit analysis approach is the most rigorous test currently known that the authors could apply to the conditions: it is effective vehicle to examine this difficult question. The values the authors give to the various costs and benefits may be somewhat more questionable. The simplified answer to the question ‘is technological change in medicine worth it?’ I think is a resounding ‘yes’. However, this assessment doesn’t look at the efficiency or otherwise of the healthcare system, which as a budding economist I feel is a more salient and vital question. It is clear that public and private payers may still be a long way from an efficient allocation of health care spending. Healthcare innovations are worth is, but is the massive cost of r &d and bringing these new technologies efficient? Probably not.
Para 1
Weaknesses include the lack of discussion on the future costs and benefits including discounting and how this affects the analysis.
The authors coin the terms treatment substitution effect and the treatment expansion effect, *rather like the value of additional available spending to an individual and its income and substitution effects. The two measures seem useful ways to start to break down some of the cost and Treatment expansion may be of benefit when the treatment is highly beneficial, but not if the treatment is marginal or the patients receieving it are of marginal needs.
Dranove talks about the importance of making the correct cost benefit analysis as even using the same raw data very different implications be found. He highlights that a series of articles published in the 1990's reporting on biennial mammograms for women between 40-49. The reported costs per life-year saved ranged from $10,000 to over $100,000, most of the studies all being based from the data of the same sample of Swedish women. this caused international concern from the US and Canada and abroad, who asked the Swedish researchers for access to their data.
Para2..
The value to which an medicine or treatment will be sponsored by the payer is generally $50,000US. In the article Taking Account of Future Technology in Cost Effectiveness Analysis, published in British medical journal September 2004, Solomon et al. states that cost effective analysis interventions having incremental ratios of $50,000 per QALY in US, or 30,000 pounds in the UK ($55,000) are usually held to be cost effective. Given that treatments have become more expensive over time as well as more effective, the authors could have addressed the question of how effective new technologies are in terms of cost and efficiency versus before. They also made the point that cost-effectiveness analysis does not usually take account of future possible advances in treatment, but taking these future possible advances into account would greatly alter a cost benefit analysis. The authors gave a conservative value of $100,000 to a life year, and didn’t take into account future benefits of the treatments, which would both have improved their statistics. This shows restraint on their behalf, as the information published was enough to support the conclusion that technological change, analysed their way is worth it.
Para3
Choice of 5 specific diseases, what can i say about them?
Measuring the costs and benefits at the disease level, as has the studies that guided their report, as they feel health improvements in aggregate are difficult to distinguish and credit correctly.
With 5 chosen conditions there is sufficient data over a reasonable period to analyse and use these as implications for medical system more generally. They acknowledge disease level analysis is not exact but assume that they can better identify the uncertainties and limitations of the data. They confirm they do not have sufficiently large conditions to draw firm conclusions.
Para4.
Importance of mentioning the other costs involved in medical innovation, that of Research and Development, and the expensive legislative/regulation system around that. How is this relevant to the discussion?
The authors look at the end payers costs as the entire cost of health care. There are other costs that aren’t taken into account which need to be involved in the question of whether the increase costs of health care are efficient. There are costs today form the overburdened system such as waiting lists for publically and privately funded operations that can be up to years long. This cost
Need to be careful here as who is the cost gone up for, the cost of the operation is used as the cost value, but what about the other costs, the R&D costs, and high profits that are protected by patents (eisenberg). Missed a major cost in meical innovation- that is R & D. Eisenberg highlights that the dual structrures of patents and drug regulation are both increasing the costs of medical drug innovation. Beyond adding to the costs of drug developments, drug regulation does much to support the profitablility of new drugs. Beyond forestalling competition and supporting profits, the patent system increasingly threatens to divert profits away from drug developing firms towards other patent claimants. So I believe the authors took a deliberately simple approach to the question is technological change worth it, so that they could set aside the glaring costs and profits in medical innovation that are now simply inherent in the system due to the complex and highly regulated structure.
Para 5
Policy implications
1.They think the focus on waste spending reduction should be balanced against the potential for inhibiting technical growth. Policy should adjust its focus. It is clear from literature such as Dranove that there is a ceiling on health spending so that health rationing will always be required. From Trick or Treatment it is clear that there are areas of health spending where benefits are marginal or even scientifically non-existent but these treatments are becoming popularised and as a result spending has gone up. Rather like the changes suggested for risk management in Witches Floods and Wonderdrugs by Clarke, the policy analysis for health spending needs to be directed at the health system itself, its overarching structures, and the efficiency of its delivery. If the health care system in the US was completely overhauled and integrated to a truly universal system, then the beast of regulation could possibly be reigned in. Further, the potential for inhibiting technical growth in the US system is probably based more around the drug regulation system and the patent system which work together to drive up the cost of research and development (Eisenberg).
2.Better indices for medical care: They claim that their “quality adjusted” price of medical care is actually falling over time. There are so many factors to take into account when making an assertion like this, and important ones such as quality of life are difficult to measure. Introducting a quality –adjustment into time measures is moving away from the initial goal of price indices, to track changes in costs. Quality of life is perhaps something that could be and is tracked elsewhere such as in OECD research and ratings, as well as other studies such as the Economists 2005 quality-of –life index ranking 111 countries. http://www.economist.com/media/pdf/quality_of_life.pdf
Health was the second determinant of quality of life in this survey, and the US ranked 13th, New Zealand 15th, and Australia 6th. There are also many difficulties and practical problems in introducing a quality-adjusted cost of healthcare, in that it may be politically antagonistic to the population, the population may not understand where the figures are derived from, deciding how to value quality of life in itself will always be subjective, and as mentioned, other studies are looking at this already.
3.They feel the National Health Accounts data should be extended to include the benefits of medical care as well as the costs. A fuller set of National Health Accounts is an interesting idea that if implemented fully could indeed guide policy makers in health care spending. This would be an extremely costly exercise to research data that covered diseases and treatments thoroughly enough to guide the policy makers. Furthermore, if spending in health is associated by a list of benefits then education spending accounts should also be balanced by education level accounting. This concept is difficult especially when applied to the US’s extremely complex health system.
i think that there is no other information about benefits in national health accounts then maybe an effectiveness index might be more appropriate. this would be a cost per QALY gained analysis.
4. Managed care and other policy reforms could be assessed using the authors same cost benefit analysis. The managed care system can be assessed almost as if it is a condition (overall health) and the managed care system is the treatment. The authors seem to be calling for a balanced review of the costs and benefits of the managed care system, to see if , on the whole, it has been successful.
The authors conclude that though they haven’t considered enough diseases to reach firm conclusions, they acknowledge that generalising to answer their original question with an overall evaluation is not possible. They use the idea that medical spending has increased by $35,000 over the lifetime of a person and life expectancy has increased by 7 years. The authors claim their results show the good and bad of technological change.