Modelling the Potential Population Impact and Cost-Effectiveness of Self-Testing for HIV: Evaluation of Data Requirements.
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 considerati...
| Publicado en: | AIDS & Behavior Vol. 18; pp. 450 - 459 |
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| Autores principales: | , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Springer Nature
Jul2014 Supplement
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=97012675&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 97012675 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10907165 G1T jtl: AIDS & Behavior issn: 10907165 maglogo: N pubinfo: dt: Jul2014 Supplement vid: 18 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 97012675 97012675 97012675 10.1007/s10461-014-0824-x 97012675 ppf: 450 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Modelling the Potential Population Impact and Cost-Effectiveness of Self-Testing for HIV: Evaluation of Data Requirements. aug: au: Cambiano, Valentina Mavedzenge, Sue Phillips, Andrew affil: Research Department of Infection & Population Health, UCL, Rowland Hill Street London NW3 2PF UK sug: subj: Models, Theoretical Cost Benefit Analysis Home Diagnostic Tests Psychosocial Factors AIDS Serodiagnosis Computer Simulation Home Diagnostic Tests Economics Data Management Decision Making, Computer Assisted Mathematics ab: 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. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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