Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Ryan Li is active.

Publication


Featured researches published by Ryan Li.


Archives of Otolaryngology-head & Neck Surgery | 2015

Oncologic Outcomes After Transoral Robotic Surgery : A Multi-institutional Study

John R. de Almeida; Ryan Li; J. Scott Magnuson; Richard V. Smith; Eric J. Moore; Georges Lawson; Marc Remacle; Ian Ganly; Dennis H. Kraus; Marita S. Teng; Brett A. Miles; Hilliary N. White; Umamaheswar Duvvuri; Robert L. Ferris; Vikas Mehta; Krista Kiyosaki; Edward J. Damrose; Steven J. Wang; Michael E. Kupferman; Yoon Woo Koh; Eric M. Genden; F. Christopher Holsinger

IMPORTANCE Large patient cohorts are necessary to validate the efficacy of transoral robotic surgery (TORS) in the management of head and neck cancer. OBJECTIVES To review oncologic outcomes of TORS from a large multi-institutional collaboration and to identify predictors of disease recurrence and disease-specific mortality. DESIGN, SETTING, AND PARTICIPANTS A retrospective review of records from 410 patients undergoing TORS for laryngeal and pharyngeal cancers from January 1, 2007, through December 31, 2012, was performed. Pertinent data were obtained from 11 participating medical institutions. INTERVENTIONS Select patients received radiation therapy and/or chemotherapy before or after TORS. MAIN OUTCOMES AND MEASURES Locoregional control, disease-specific survival, and overall survival were calculated. We used Kaplan-Meier survival analysis with log-rank testing to evaluate individual variable association with these outcomes, followed by multivariate analysis with Cox proportional hazards regression modeling to identify independent predictors. RESULTS Of the 410 patients treated with TORS in this study, 364 (88.8%) had oropharyngeal cancer. Of these 364 patients, information about post-operative adjuvant therapy was known about 338: 106 (31.3) received radiation therapy alone, and 72 (21.3%) received radiation therapy with concurrent chemotherapy. Neck dissection was performed in 323 patients (78.8%). Mean follow-up time was 20 months. Local, regional, and distant recurrence occurred in 18 (4.4%), 15 (3.7%), and 10 (2.4%) of 410 patients, respectively. Seventeen (4.1%) died of disease, and 13 (3.2%) died of other causes. The 2-year locoregional control rate was 91.8% (95% CI, 87.6%-94.7%), disease-specific survival 94.5% (95% CI, 90.6%-96.8%), and overall survival 91% (95% CI, 86.5%-94.0%). Multivariate analysis identified improved survival among women (P = .05) and for patients with tumors arising in tonsil (P = .01). Smoking was associated with worse overall all-cause mortality (P = .01). Although advanced age and tobacco use were associated with locoregional recurrence and disease-specific survival, they, as well as tumor stage and other adverse histopathologic features, did not remain significant on multivariate analysis. CONCLUSIONS AND RELEVANCE This large, multi-institutional study supports the role of TORS within the multidisciplinary treatment paradigm for the treatment of head and neck cancer, especially for patients with oropharyngeal cancer. Favorable oncologic outcomes have been found across institutions. Ongoing comparative clinical trials funded by the National Cancer Institute will further evaluate the role of robotic surgery for patients with head and neck cancers.


Health Systems and Reform | 2016

The International Right to Health: What Does It Mean in Legal Practice and How Can It Affect Priority Setting for Universal Health Coverage?

Rebecca E. Dittrich; Leonardo Cubillos; Lawrence O. Gostin; Ryan Li; Kalipso Chalkidou

Abstract Abstract—The international right to health is enshrined in national and international law. In a growing number of cases, individuals denied access to high-cost medicines and technologies under universal coverage systems have turned to the courts to challenge the denial of access as against their right to health. In some instances, patients seek access to medicines, services, or technologies that they would have access to under universal coverage if not for government, health system, or service delivery shortfalls. In others, patients seek access to medicines, services, or technologies that have not been included or that have been explicitly denied for coverage due to prioritization. In the former, judicialization of the right to health is critical to ensure patients access to the technologies or services to which they are entitled. In the latter, courts may grant patients access to medicines not covered as a result of explicit priority setting to allocate finite resources. By doing so, courts may give priority to those with the means and incentive to turn to the courts, at the expense of the maximization of equity- and population-based health. Evidence-based, informed decision-making processes could ensure that the most clinically and cost-effective products aligning with social value judgments are prioritized. Governments should be equipped to engage in and defend rational priority setting, and the priority setting process and institutions involved should be held accountable through an opportunity for appeal and judicial review. As a result, the courts could place greater reliance on the governments coverage choices, and the populations health could be most equitably distributed.


International journal of health policy and management | 2016

Health Technology Assessment: global advocacy and local realities: comment on ‘Priority Setting for Universal Health Coverage: We Need Evidence-Informed Deliberative Processes, Not Just More Evidence on Cost-Effectiveness

Kalipso Chalkidou; Ryan Li; Anthony J. Culyer; Amanda Glassman; Karen Hofman; Yot Teerawattananon

Cost-effectiveness analysis (CEA) can help countries attain and sustain universal health coverage (UHC), as long as it is context-specific and considered within deliberative processes at the country level. Institutionalising robust deliberative processes requires significant time and resources, however, and countries often begin by demanding evidence (including local CEA evidence as well as evidence about local values), whilst striving to strengthen the governance structures and technical capacities with which to generate, consider and act on such evidence. In low- and middle-income countries (LMICs), such capacities could be developed initially around a small technical unit in the health ministry or health insurer. The role of networks, development partners, and global norm setting organisations is crucial in supporting the necessary capacities.


F1000Research | 2017

Evidence-informed capacity building for setting health priorities in low- and middle-income countries: : A framework and recommendations for further research

Ryan Li; Francis Ruiz; Anthony J. Culyer; Kalipso Chalkidou; Karen Hofman

Priority-setting in health is risky and challenging, particularly in resource-constrained settings. It is not simply a narrow technical exercise, and involves the mobilisation of a wide range of capacities among stakeholders – not only the technical capacity to “do” research in economic evaluations. Using the Individuals, Nodes, Networks and Environment (INNE) framework, we identify those stakeholders, whose capacity needs will vary along the evidence-to-policy continuum. Policymakers and healthcare managers require the capacity to commission and use relevant evidence (including evidence of clinical and cost-effectiveness, and of social values); academics need to understand and respond to decision-makers’ needs to produce relevant research. The health system at all levels will need institutional capacity building to incentivise routine generation and use of evidence. Knowledge brokers, including priority-setting agencies (such as England’s National Institute for Health and Care Excellence, and Health Interventions and Technology Assessment Program, Thailand) and the media can play an important role in facilitating engagement and knowledge transfer between the various actors. Especially at the outset but at every step, it is critical that patients and the public understand that trade-offs are inherent in priority-setting, and careful efforts should be made to engage them, and to hear their views throughout the process. There is thus no single approach to capacity building; rather a spectrum of activities that recognises the roles and skills of all stakeholders. A range of methods, including formal and informal training, networking and engagement, and support through collaboration on projects, should be flexibly employed (and tailored to specific needs of each country) to support institutionalisation of evidence-informed priority-setting. Finally, capacity building should be a two-way process; those who build capacity should also attend to their own capacity development in order to sustain and improve impact.


F1000Research | 2017

We need a NICE for global development spending

Kalipso Chalkidou; Anthony J. Culyer; Amanda Glassman; Ryan Li

With aid budgets shrinking in richer countries and more money for healthcare becoming available from domestic sources in poorer ones, the rhetoric of value for money or improved efficiency of aid spending is increasing. Taking healthcare as one example, we discuss the need for and potential benefits of (and obstacles to) the establishment of a national institute for aid effectiveness. In the case of the UK, such an institute would help improve development spending decisions made by DFID, the country’s aid agency, as well as by the various multilaterals, such as the Global Fund, through which British aid monies is channelled. It could and should also help countries becoming increasingly independent from aid build their own capacity to make sure their own resources go further in terms of health outcomes and more equitable distribution. Such an undertaking will not be easy given deep suspicion amongst development experts towards economists and arguments for improving efficiency. We argue that it is exactly because needs matter that those who make spending decisions must consider the needs not being met when a priority requires that finite resources are diverted elsewhere. These chosen unmet needs are the true costs; they are lost health. They must be considered, and should be minimised and must therefore be measured. Such exposition of the trade-offs of competing investment options can help inform an array of old and newer development tools, from strategic purchasing and pricing negotiations for healthcare products to performance based contracts and innovative financing tools for programmatic interventions.


F1000Research | 2017

Transferability and Priority Setting: A Taxonomy

Adrian Towse; Karla Hernandez-Villafuerte; Ryan Li

This paper was produced by the Office of Health Economics and NICE International as part of the international Decision Support Initiative (www.idsihealth.org), a global initiative to support decision makers in prioritysetting for universal health coverage. This work received funding support from Bill & Melinda Gates Foundation, the UK Department for International Development, and the Rockefeller Foundation.


The Lancet | 2013

Health technology assessment in universal health coverage

Kalipso Chalkidou; Robert Marten; Derek Cutler; Tony Culyer; Richard Smith; Yot Teerawattananon; Francoise Cluzeau; Ryan Li; Richard Sullivan; Yanzhong Huang; Victoria Y. Fan; Amanda Glassman; Yu Dezhi; Martha Gyansa-Lutterodt; Sam McPherson; Carlos Augusto Grabois Gadelha; Thiagarajan Sundararaman; Neil Squires; Nils Daulaire; Rajeev Sadanandan; Konuma Shiro; Alexandre Lemgruber


Globalization and Health | 2016

Bibliometric trends of health economic evaluation in Sub-Saharan Africa

Karla Hernandez-Villafuerte; Ryan Li; Karen Hofman


Archive | 2015

International Decision Support Initiative: Mapping of Priority-Setting in Health for 17 Low and Middle Countries Across Asia, Latin America and Africa

Karla Hernandez-Villafuerte; Ryan Li; Adrian Towse; Kalipso Chalkidou


F1000Research | 2018

iDSI: support for priority setting in India

Kalipso Chalkidou; Laura Downey; Ryan Li

Collaboration


Dive into the Ryan Li's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Francoise Cluzeau

National Institute for Health and Care Excellence

View shared research outputs
Top Co-Authors

Avatar

Amanda Glassman

Center for Global Development

View shared research outputs
Top Co-Authors

Avatar

Karen Hofman

University of the Witwatersrand

View shared research outputs
Top Co-Authors

Avatar

Francis Ruiz

National Institute for Health and Care Excellence

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Derek Cutler

National Institute for Health and Care Excellence

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Laura Downey

Imperial College London

View shared research outputs
Researchain Logo
Decentralizing Knowledge