Modelling the Potential Population Impact and Cost-Effectiveness of Self-Testing for HIV
Evaluation of Data Requirements
Bibliographic Data
| ID | 15337398 |
|---|---|
| Authors | Valentina Cambiano (0000-0003-0700-105X, corresponding author), Sue Napierala (0000-0003-1146-8154, RTI International), Sue Napierala Mavedzenge, Andrew Phillips (0000-0001-9954-2237, Roland Hill (United Kingdom)), Andrew N Phillips (0000-0003-2384-4807, Roland Hill (United Kingdom)) |
| Year | 2014 |
| Volume | 18 |
| Issue | S4 |
| Pages | 450-458 |
| Publication date | 2014-06-23 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | AIDS and Behavior (JOURNAL) |
| Journal identifiers | ISSN: 1090-7165 • E-ISSN: 1573-3254 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s10461-014-0824-x |
| PMID | 24957978 |
| PMCID | PMC4094791 |
| OpenAlex | W2057581673 |
| Language | EN |
| Citations received | 3 |
| References cited | 49 |
HIV testing uptake has increased dramatically in recent years in resource limited settings. Nevertheless, over 50% of the people living with HIV are still unaware of their status. HIV self-testing (HIVST) is a potential new approach to facilitate further uptake of testing which requires consideration, taking into account economic factors. Mathematical models and associated economic analysis can provide useful assistance in decision-making processes, offering insight, in this case, into the potential long-term impact at a population level and the price-point at which free or subsidized HIVST would be cost-effective in a given setting. However, models are based on assumptions, and if the required data are sparse or limited, this uncertainty will be reflected in the results from mathematical models. The aim of this paper is to describe the issues encountered in modeling the cost-effectiveness of introducing HIVST, to indicate the evidence needed to support various modeling assumptions, and thus which data on HIVST would be most beneficial to collect
Economics · Environmental economics · Environmental health · Health psychology · Human immunodeficiency virus (HIV · Management science · Operations research · Population · Public health · Resource (disambiguation · Risk analysis (engineering · Subsidy · Computer Science · Engineering · HIV Research and Treatment · HIV/AIDS drug development and treatment · HIV/AIDS Research and Interventions · Medicine · Immunology
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| Citations per year | 0.27 |
|---|---|
| Citation span | 2015 - 2019 (5) |
| Highly cited | No |