ArticleInternational journal of health policy and management2017
Diplomacy and Health: The End of the Utilitarian Era.
Article in International journal of health policy and management, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The role of health systems for health security: a scoping review revealing the need for improved conceptual and practical linkages.Globalization and health · 2022Article
- On the ethics of healthy ageing: setting impermissible trade-offs relating to the health and well-being of older adults on the path to universal health coverage.International journal for equity in health · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cost-effectiveness analysis (CEA), as a system of allocative efficiency for global health programs, is an influential criterion for resource allocation in the context of diplomacy and inherent foreign policy decisions therein. This is because such programs have diplomatic benefits and costs that can be uploaded from the recipient and affect the broader foreign policy interests of the donor and the diplomacy landscape between both parties. These diplomatic implications are vital to the long-term success of both the immediate program and any subsequent programs; hence it is important to articulate them alongside program performance, in terms of how well their interrelated interventions were perceived by the communities served. Consequently, the exclusive focus of cost-effectiveness on medical outcomes ignores (1) the potential non-health benefits of less cost-effective interventions and (2) the potential of these collateral gains to form compelling cases across the interdisciplinary spectrum to increase the overall resource envelope for global health. The assessment utilizes the Kevany Riposte's "K-Scores" methodology, which has been previously applied as a replicable evaluation tool1 and assesses the trade-offs of highly cost-effective but potentially "undiplomatic" global health interventions. Ultimately, we apply this approach to selected HIV/AIDS interventions to determine their wider benefits and demonstrate the value alternative evaluation and decision-making methodologies. Interventions with high "K-Scores" should be seriously considered for resource allocation independent of their cost-effectiveness. "Oregon Plan" thresholds2 are neither appropriate nor enforceable in this regard while "K-Score" results provide contextual information to policy-makers who may have, to date, considered only cost-effectiveness data. While CEA is a valuable tool for resource allocation, its use as a utilitarian focus should be approached with caution. Policy-makers and global health program managers should take into account a wide range of outcomes before agreeing upon selection and implementation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.