Fern Terris-Prestholt
MSc PhD
Professor
in Health Economics
LSHTM
15-17 Tavistock Place
London
WC1H 9SH
United Kingdom
I am currently on a leave of absence to work for UNAIDS in Geneva. I am there to support improved methods for costing country national strategic plans, investment cases and funding requests and integrating routine costing into data systems.
My research addresses economics related to the introduction of new HIV and STI technologies and self-care, including HIV self-testing, STI self screening. I am particularly interested in demand for new self diagnostic technologies, design and evaluation of behavioural / demand creation interventions, including digital/m-Health technologies.
I also enjoy costing, cost modelling and the use of cost data to support decision making and planning in-country and globally.
- Philosophy: intrinsically motivated by collaborative policy oriented research founded on mutual capacity building.
- Leadership: International reputation and networks in the area of discrete choice experiments, cost-effectiveness and uptake of new HIV prevention technologies and HIV and syphilis diagnostics.
- Research: >95 peer reviewed articles in the field of HIV & STI economics, including Nature and J Health Economics.
- Fundraising: Raised and/or managed grants of >$2.5 million, PI on 11 projects, Co-PI on 7, lead economist on $72 million project, fully self-funded since 2007.
- External citizenship: Convenor IHEA SIG: Health Preference Research; Associate Editor ‘BMC Health Services Research’; External funding reviewer.
- Management: Experience leading large multi-country research teams and supervising junior collaborators and LSHTM staff.
- Mentorship: Have supported and mentored 7 junior staff to win highly competitively fellowships including from the MRC, Wellcome, ESRC and NIH.
I have a PhD in Health Economics from LSHTM, an MSc in Development Economics from Wageningen University, The Netherlands and a B.A. from Macalester College in St. Paul, MN, USA. My academic career in health economics started as a researcher at the Erasmus University in the Netherlands.
Affiliations
Teaching
- Teaching:
2009 - 2020 Module Organiser for highly rated advanced health economics module: Economic Analysis for Health Policy
2001 - present Seminar leader: Introduction to Health Economics
Supervised over 35 MSc summer projects, including with fieldwork.
- RD training:
My research degree students work on economic evaluations, discrete choice experiments, design and evaluation of behavioural interventions, and econometric analyses of new HIV technologies and other self-care interventions.
3 PhD student successfully defended on time:
2015-2020 - DrPh supervisor, Primary: Nurilign Ahmed Cost effectiveness of alternative HIV Testing and linkage models.
2014-2018 - PhD supervisor, Primary: Matthew Quaife. Using State Preferences to Estimate the Impact of New HIV prevention Products in South Africa
2010-2013 - PhD supervisor, Primary: Christine Michaels, degree awarded. Assessing young people’s stated preferences for reproductive health and HIV services in Malawi.
Current research degree students:
2018-Present - PhD supervisor, Primary: Marc D’Elbee. Scaling up costs of delivering HIV self-testing in varying epidemiological settings: Trade-off between yield and scale.
2018-Present - PhD supervisor, Primary: Peach Indravudh. Community lead HIV Testing RCT to reach men in Malawi.
2018-Present - PhD supervisor, 2nd: Collin Mangenah. Economic evaluation of HIV testing models in Southern Africa. Liverpool School of Tropical Medicine
2018-Present - PhD supervisor, Primary: Linda Sande. HIV self-test as means for improved access and equity of testing.
2017-Present - DrPh supervisor, 2nd: Natalie DiaB. Cost-effectiveness of Leishmeniasis screening in India.
2017-Present - PhD supervisor, 2nd: Cheryl Johnson. Preferences by proxy: Assessing Malawian men’s preferences for linkage to HIV services by asking.
Though currently at capacity, in the future, I would welcome PhD students with a foundation in economics and an interest in the demand for HIV prevention, using methods such as discrete choice experiments or behavioural economics approaches.
Research
My work research focusses on the the economics of new technology introduction, particularly technologies for the prevention, diagnosis and treatment of HIV and related conditions (such as STIs), primarily in low and middle income countries.
Major projects:
- The Unitaid funded ATLAS project (2018-2021): This builds on STAR to introduce HIV Self Testing in West Africa with an emphasis on reaching key populations in Senegal, Mali and Cote d'Ivoire.
- The Unitaid-funded STAR project: developing distribution strategies for Oral HIV self tests in Malawi, Zimbabwe, Zambia, South Africa, Lesoth and Swaziland. Her role is to lead the research on user preferences as well as costing to inform the development of optimal distribution systems. As we have move to the next phase of integrating HIVST into health systems we are using our extensive cost data and user preference data, (See our papers by Mwenge, Mangenah, Sande, D'Elbee and Indravudh) to model scale up costs and budget impact.
- For the FHI360's OPTIONS project (2015-2020) I am leading economic studies to support the introduction of new ARV based HIV prevention products for women:
- Analysis of PrEP costs and the role of longer continuation on costs in Zimbabwe;
- Literature review on PrEP continuation;
- Analysis of the role of structural drivers on womens demand for new ARV based HIV prevention products in South Africa.
- Using crowdsourcing to develop campaigns to stimulate demand for HIV testing among MSM in China.
- Syphilis self-screening among MSM in Zimbabwe
I have worked on a number of other HIV/STI prevention projects in Africa, Asia and Latin America and the UK in recent years:
- Stimulating demand for Voluntary Medical Male Circumcision in Tanzania: using discrete choice experiments to inform intervention design
- ARV-based Prevention: We modelled the cost-effectiveness of Pre-exposure prophylaxis, treatment as prevention, and potential future products, in Nigeria. It was part of an international collaboration coordinated by Georgetown University and funded by Gates. Other mathematical modellers and economists were working in Kenya and South Africa.
- Assessing Youth Preferences for Integrated Mobile HIV and Family Planning Services in Rural Malawi: This project aimed to inform the roll out of youth targeted mobile reproductive and sexual health services provided by the Family Planning Association of Malawi. It was a 5 year project that is finishing this year (2013).
- Understanding economies of scope and scale of integrating HIV treatment and care in family planning and post-natal care services in Kenya, Swaziland and Malawi as part of the 5 year Gates funded project: Assesing the benefits and costs of integrating HIV services into family planning and post natal care services in Kenya, Swaziland and Malawi.
- Estimating the costs and cost effectiveness of introducing rapid syphilis screening tests in hard to reach populations in Brazil, Tanzania and China and estimating the costs of scaling up. This is a 3 year Gates/WHO funded project which is very much country driven. I provide the support to local researchers to assist their economic analysis.
- Effectiveness of HIV screening in Primary Care: a clustered randomised controlled trial and economic analysis. This study looks at provider initiated HIV screening at registration with GP practices in Hackney, an area of London which hosts many new migrants.
Together these studies contribute to a body of work on the uptake and introduction of new technologies.
In 2015, I took a study leave at the Dalla Lana School of Public Health at the University of Toronto, where she worked on a paper estimating the dynamic effects of condom social marketting tools on uptake of male and female condoms (Journal of Heath Economics 2016) and another paper considering the role of discrete choice experiment as part of formative research for complex interventions (Trials 2019).
Main methodologies used:
cost-effectiveness analysis, discrete choice experiments to estimate new uptake, and econometric analysis.