Prevention of non-communicable disease: best buys, wasted buys, and contestable buysBMJ 2020; 368 doi: https://doi.org/10.1136/bmj.m141 (Published 28 January 2020) Cite this as: BMJ 2020;368:m141
- Wanrudee Isaranuwatchai, senior researcher13,
- Yot Teerawattananon, founder145,
- Rachel A Archer, project associate1,
- Alia Luz, project associate1,
- Manushi Sharma, international cooperation officer1,
- Waranya Rattanavipapong, researcher1,
- Thunyarat Anothaisintawee, associate professor6,
- Rachel L Bacon, researcher7 8,
- Tazeem Bhatia, consultant in publica health9,
- Jesse Bump, lecturer on global health policy10,
- Kalipso Chalkidou, professor1112,
- Adam G Elshaug, professor1314,
- David D Kim, assistant professor7,
- Sumithra Krishnamurthy Reddiar, researcher10,
- Ryota Nakamura, associate professor15,
- Peter J Neumann, director716,
- Arisa Shichijo, graduate student15,
- Peter C Smith, professor1718,
- Anthony J Culyer, emeritus professor of economics17
- 1Health Intervention and Technology Assessment Programme, Bangkok, Thailand
- 2St Michael’s Hospital, Toronto, Canada
- 3University of Toronto, Toronto, Canada
- 4National University of Singapore, Singapore
- 5National Health Foundation, Bangkok, Thailand
- 6Department of Family Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- 7Tufts Medical Center, Boston, USA
- 8Boston University, Boston, USA
- 9Public Health England, London, UK
- 10Harvard TH Chan School of Public Health, Boston, USA
- 11Centre for Global Development, London, UK
- 12Imperial College London, London, UK
- 13University of Sydney, Sydney, Australia
- 14Brookings Institution, Washington DC, USA
- 15Hitotsubashi University, Tokyo, Japan
- 16Tufts University School of Medicine, Boston, USA
- 17University of York, York, UK
- 18Imperial College Business School, London, UK
- Correspondence to: W Isaranuwatchai
Increasing incidence of non-communicable diseases (NCDs) creates epidemiological and economic burdens everywhere and influences everyone regardless of sex and age.12 Four main NCDs (cardiovascular diseases, diabetes, cancer, and chronic respiratory disease) account for over 12 million premature deaths worldwide annually.3 Mental ill health also imposes substantial economic burdens1 and should be included in policies for reducing the health and financial burdens of NCDs.
NCD policies have substantial implications for population health and national budgets. Countries therefore need to assess both the health and the financial aspects of these policies before implementation, especially in the context of the aim to achieve universal health coverage. We consider how to distinguish local best buys, wasted buys, and contestable buys among evidence based NCD interventions to improve setting of health priorities and offer suggestions for better decision making processes.
Universal health coverage and prioritisation
Achieving universal health coverage requires clear thinking on the difficult choices about who is to be covered and for what interventions. The World Health Organization created a list of “best buys” to describe health interventions that are globally recommended for controlling NCDs.34 They were selected using the following criteria: a demonstrated and quantified effect, cost effectiveness (≤$100 (£80; €90) per disability adjusted life year (DALY) averted in low and middle income countries), and implementability. A recent survey, however, found underuse of the best buy interventions, especially in low and middle income countries, and noted that insufficient action was being taken to reach the goal of reducing premature mortality from NCDs by a third by 2030 set out in the sustainable development goals.56
One reason for this may be that much of the evidence on best buys does not come from low or middle income countries,5 and it is uncertain whether such global guidelines are helpful when setting priorities in these countries. Concerns exist about the transferability of study findings mostly from high income countries to other countries with different disease profiles, population characteristics, economic structures, health systems platforms, and other distinctive local characteristics. Moreover, no guideline exists on how to implement international research findings in these various settings, with varying implementation capacities.4
WHO and the Organisation for Economic Cooperation and Development have estimated that a fifth of total health spending in countries is wasted.78 The waste exists for a multitude of reasons ranging from the lack of evidence needed to articulate better policy choices to governance related issues such as fraud and corruption. The waste is far more serious in low and middle income countries, where the overall disease burden is much higher but relatively small expenditures can have enormous impact if spent wisely. To improve priority setting at local level we distinguish best buys, wasted buys, and contestable buys recognising the importance of context.
How context affects best buys
The cost effectiveness plane is a visualisation of the differences in costs and outcomes of policy options, with costs plotted on the vertical y axis and effects (health gain) on the horizontal x axis (fig 1). An intervention that delivers no or little benefit or that might have adverse effects, and that uses up more resources than the current scenario is a wasted buy. An intervention is a contestable buy if it has no direct evidence of cost effectiveness in the country in which the intervention is being considered.
The principal criterion for both best buys and wasted buys is cost effectiveness. Although the methodological principles for cost effectiveness analysis are intended to be universal, their quantitative application often depends on local circumstances (context specificity).9 The threshold to separate the cost effective from the cost ineffective depends on how much a decision maker is willing to pay for additional health benefit and will therefore vary according to economic factors such as the budget for public expenditure.
A best buy in one setting could be a contestable or wasted buy in another setting. For example, although a fixed dose combination of antihypertensive and lipid lowering drugs was found to be the best buy for primary prevention of cardiovascular diseases among moderate risk population in high income countries,1011 Tanzania’s threshold ($610 per DALY at the time of study) was insufficient to warrant proceeding and the combination drug is a wasted buy in this middle income country.12 Evidence on diabetic screening in Indonesia and Thailand shows that screening is a best buy only for high risk groups aged ≥40 rather than from age 15, which had been the standard practice.1314 Screening people aged 15-39 age was a wasted buy, and the savings from focusing on the high risk groups released resources for other priorities.
Local context can also influence cost effectiveness.1516 For instance, tobacco taxation is widely considered to be a best buy and is included in WHO’s list.4 However, in India, the tax on cigarette products failed to substantially reduce tobacco use even though there was international evidence and strong political support for implementation. This was partly because 85% of smokers in India smoked bidi, a local tobacco that was not taxed.1718 Analysis of case studies of implementing NCD preventive policies in low and middle income countries1920 highlights important contextual economic and other considerations, including relevance to the community of interest; ethical acceptability; possibility of cross-sectoral collaboration; degree of community and stakeholder engagement; affordability, feasibility, and sustainability; and leadership, governance, compliance, and monitoring.15
Beyond cost effectiveness
Clearly, what is best or wasted is more than just a question of effectiveness and cost. There are other ethical, cultural, political, and practical factors, some of which are modifiable. In some societies, religious taboos or conventions may have to be considered. In most, there will be concerns for greater health equality and reduced exposure to financial risk to supplement the efficiency criterion. The capacities of countries to use and implement research on cost effectiveness are also varied, which can easily result in mistaken judgments even about effectiveness and cost. Furthermore, interventions that affect NCDs often lie outside the health sector, including in education, transportation, or lifestyle. For example, though not in WHO’s best buy list, reducing physical inactivity through urban design is a pillar of NCD prevention. Bike sharing schemes have been advocated globally for many reasons related to health, economy, and the environment. In some countries, however, women are not fully able to use the schemes for cultural and religious reasons. Consequently, something initially lauded as a best buy becomes a contestable buy because of ambiguity about the intervention itself, the possible inequity it generates, and its gender bias. The resulting gender inequity in these contexts means that this intervention is not a best buy for the whole population and would need to be complemented with a policy to equally increase the physical activity of women.
NCD programmes need to balance national spending priorities fairly and efficiently against one another, safeguarding rights to health while having due regard for rights to education, security, decent housing, and so on. This decision requires high level priority setting at which budgets for health are determined. Even within the health sector, simple criteria may not suffice. For instance, seeking only to maximise health benefits can conflict with equity.21 Achieving equity tends to become costlier as policy reaches out to less accessible, marginalised groups. Exclusion of hard-to-reach populations raises important ethical questions regarding a just distribution of access to healthcare and of health itself.
Interventions that are not cost effective in one context might still be best buys in another. If this is suspected, they are “contestable” and may warrant more specific local study. Interventions that are in principle not cost effective might be best buys if they have other attractive attributes. For example, in settings with a commercial alcohol market rather than a tradition of home brewing, implementing a minimum unit price for alcohol could have more effect on health inequalities than simply raising alcohol taxes.22 A cost ineffective intervention may also be a best buy if it delivers sufficiently strong equity outcomes. Thailand implemented a policy of peritoneal dialysis first for patients with renal failure to ensure that people living in both urban and rural areas throughout the country could access the expensive, lifesaving treatment equally.2324
Practical ways forward
NCD programme managers face challenges on several fronts, including information and political support. Keeping up with information in the health sector is not easy: 75 trials and 11 systematic reviews are published daily.25 Programme managers have to find ways of identifying relevant information. An expert hub, national or regional, could be used to gather, filter, and review relevant information as well as to support evidence assessment and appraisal processes.
Health technology assessment (HTA) is not just a collection of technical methods, such as cost-effectiveness analysis, but also a way of thinking. It must include the academic disciplines of medicine, epidemiology, economics, management, and ethics. Systematic thinking for evidence based and efficient decision making (SEED) is one tool for determining whether an intervention is likely to be worthwhile in a local context (fig 2). It considers both the cost effectiveness agenda and the wider context (see web supplement). Since transferring economic evidence generated elsewhere to local settings is not straightforward,14222325 we suggest using a scrutiny sequence starting with an initial environmental scan of the economic evidence (high or low income, organisation of healthcare, local prices, etc), followed by a data transferability assessment (see web supplement).1926 An institutional hub of national or regional technical expertise could support NCD managers in obtaining a clearer understanding of the local implications for health technology and transferability assessment.
Deciding whether any prospective intervention for NCDs is likely to be a best buy is tricky. The criteria may not be agreed; the evidence on which an appraisal can be based is rarely complete, accurate, or locally applicable; and the processes through which a decision about a possible best buy is made may be secretive, dominated by specific interest groups and incomprehensible to outsiders. Decision making needs to be credible to ensure policy acceptance and effective implementation. Any group likely to be affected by the decision needs to be able to examine the decision making process to discover whether the reasoning was sound, the value judgments were acceptable, and the evidence was appropriately identified and interpreted.27 The public will also want to be satisfied that those involved in the process were competent, that they sought to promote the public interest, and that those who were there to represent the public were appointed in a fair way and could be held to account.
Interventions tackling social determinants often require collaborations with other sectors, including government departments such as education, housing, and policing and the corporate sector. This may be a factor accounting for the underuse of best buys28 since nearly all systems of public administration are vertical and tend to make decisions in silos. Cross sectoral projects should be evaluated in the same way as all other uses of health sector funds.29 To be acceptable, the financial contribution of the health sector to a cross sectoral project should yield sufficient health benefits to make the project cost effective. Decisions ought to allow the full participation of sectoral partners. Systems characterised by short term planning and siloed budgets tend not to prioritise actions whose benefits are realised in the future and in sectors which did not initiate the original spend. Moreover, the structures of service delivery, whether, for example, an NCD unit is in or outside a ministry, could further inhibit the successful implementation of interventions. High level commitment and support at national and international levels is needed to scale up and accelerate the implementation of cross sectoral policies and interdepartmental collaboration for prevention and control of NCDs.30
Interventions to prevent NCDs are often complex, constantly changing, and unique to each jurisdiction. There is no single solution for all policy makers, but there are positive steps that can be taken to further their efforts. Whether an intervention for NCD prevention will be best, wasted, or contestable depends on the context. To understand the context is every bit as important as to understand the technologies of evaluation, and we have suggested some ways in which this might be done.
WHO’s list of best buy interventions aims to assist the global community’s fight on non-communicable diseases
Best buys evaluated in one setting may not be cost effective in other settings
Evaluation of context is essential to ensure resources are best deployed towards universal health coverage
National or international hubs could help with this evaluation and build evidence to get cross sectoral support towards preventing non-communicable disease
We thank Olaa Mohamed-Ahmed for support.
Contributors and sources: All authors work in health technology assessment and health systems and policy research. All authors provided substantial contributions to the conception or design of the work and to the acquisition, analysis, or interpretation of data. They contributed to the draft and approved the final version. WI and YT are joint first authors. WI is the guarantor.
Competing interests: We have read and understood BMJ policy on declaration of interests and have no relevant interests to declare. The work was funded by the Prince Mahidol Award Foundation, Thai Health Promotion Foundation, and International Decision Support Initiative. The Health Intervention and Technology Assessment Program (HITAP) is funded by the Thailand Research Fund (TRF) under a grant for senior research scholar (RTA5980011). HITAP’s International Unit is supported by the International Decision Support Initiative (iDSI) , which is funded by the Bill and Melinda Gates Foundation, the UK’s Department for International Development, and the Rockefeller Foundation. The findings, interpretations, and conclusions expressed in this article do not necessarily reflect the views of the funding agencies.
Provenance and peer review: Commissioned; externally peer reviewed.
This article is part of a series commissioned by The BMJ. Open access fees are paid for by the Bill and Melinda Gates Foundation, which had no involvement in the commissioning, peer review, or decision to publish.
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