Cargando…

Impact of pre-exposure and post-exposure prophylaxes prevention programme on HIV burden and services in a low-resource setting: a simulation modelling approach

INTRODUCTION: sub-Saharan African countries contribute substantially to the global HIV disease burden. Despite this burden, and the promises that prevention could deliver, the implementation and uptake of HIV prevention programmes are still low. The study used the decision support system model to ex...

Descripción completa

Detalles Bibliográficos
Autores principales: Adeoti, Adekunle Olatayo, Demir, Eren, Adeyemi, Shola, Yakutcan, Usame, Kengne, Andre Pascal, Kayode, Gbenga, Aliyu, Ahmad, Idika, Nneoma, Isichei, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683480/
https://www.ncbi.nlm.nih.gov/pubmed/34970405
http://dx.doi.org/10.11604/pamj.2021.40.163.26486
_version_ 1784617429045870592
author Adeoti, Adekunle Olatayo
Demir, Eren
Adeyemi, Shola
Yakutcan, Usame
Kengne, Andre Pascal
Kayode, Gbenga
Aliyu, Ahmad
Idika, Nneoma
Isichei, Christian
author_facet Adeoti, Adekunle Olatayo
Demir, Eren
Adeyemi, Shola
Yakutcan, Usame
Kengne, Andre Pascal
Kayode, Gbenga
Aliyu, Ahmad
Idika, Nneoma
Isichei, Christian
author_sort Adeoti, Adekunle Olatayo
collection PubMed
description INTRODUCTION: sub-Saharan African countries contribute substantially to the global HIV disease burden. Despite this burden, and the promises that prevention could deliver, the implementation and uptake of HIV prevention programmes are still low. The study used the decision support system model to explore the potential impacts of prevention implementation on HIV burden (incidence) and service delivery. METHODS: an operational research technique known as discrete event simulation model was used to capture an individual patient´s pathways through the HIV care process from diagnosis to treatment and monitoring. The regular monitoring, over a 5-year period, including all the activities and resources utilized at each stage of the pathway were analysed, and the impact of increasing prevention measures for an HIV treatment service in a treatment centre in Nigeria was tested using the simulation model. RESULTS: forty-three patients currently access the Pre-Exposure Prophylaxis (PrEP) and Post Exposure Prophylaxis (PEP) annually, with a 20% and 80% split in the number of patients offered PrEP and PEP, respectively. Scenarios-based on increasing the number of people offered PrEP and PEP from 43 to 250 with a 50/50 split were tested. The outputs revealed improved preventive care by averting new HIV cases, reduction in service demand and utilization, but an increase in the required human resource as well as financial burden. In the next 5 years, the cumulative averted HIV cases are expected to increase from 2 and 5 people (baseline) to 24 and 20 people for PrEP and PEP, respectively. The potentially averted 2 cases per infected persons based on the basic reproductive number of HIV. CONCLUSION: the effective implementation of PrEP/PEP programme offers an additional safety measure to prevent HIV transmission in at-risk individuals and possibility of ending HIV epidemic.
format Online
Article
Text
id pubmed-8683480
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher The African Field Epidemiology Network
record_format MEDLINE/PubMed
spelling pubmed-86834802021-12-29 Impact of pre-exposure and post-exposure prophylaxes prevention programme on HIV burden and services in a low-resource setting: a simulation modelling approach Adeoti, Adekunle Olatayo Demir, Eren Adeyemi, Shola Yakutcan, Usame Kengne, Andre Pascal Kayode, Gbenga Aliyu, Ahmad Idika, Nneoma Isichei, Christian Pan Afr Med J Research INTRODUCTION: sub-Saharan African countries contribute substantially to the global HIV disease burden. Despite this burden, and the promises that prevention could deliver, the implementation and uptake of HIV prevention programmes are still low. The study used the decision support system model to explore the potential impacts of prevention implementation on HIV burden (incidence) and service delivery. METHODS: an operational research technique known as discrete event simulation model was used to capture an individual patient´s pathways through the HIV care process from diagnosis to treatment and monitoring. The regular monitoring, over a 5-year period, including all the activities and resources utilized at each stage of the pathway were analysed, and the impact of increasing prevention measures for an HIV treatment service in a treatment centre in Nigeria was tested using the simulation model. RESULTS: forty-three patients currently access the Pre-Exposure Prophylaxis (PrEP) and Post Exposure Prophylaxis (PEP) annually, with a 20% and 80% split in the number of patients offered PrEP and PEP, respectively. Scenarios-based on increasing the number of people offered PrEP and PEP from 43 to 250 with a 50/50 split were tested. The outputs revealed improved preventive care by averting new HIV cases, reduction in service demand and utilization, but an increase in the required human resource as well as financial burden. In the next 5 years, the cumulative averted HIV cases are expected to increase from 2 and 5 people (baseline) to 24 and 20 people for PrEP and PEP, respectively. The potentially averted 2 cases per infected persons based on the basic reproductive number of HIV. CONCLUSION: the effective implementation of PrEP/PEP programme offers an additional safety measure to prevent HIV transmission in at-risk individuals and possibility of ending HIV epidemic. The African Field Epidemiology Network 2021-11-17 /pmc/articles/PMC8683480/ /pubmed/34970405 http://dx.doi.org/10.11604/pamj.2021.40.163.26486 Text en Copyright: Adekunle Olatayo Adeoti et al. https://creativecommons.org/licenses/by/4.0/The Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Adeoti, Adekunle Olatayo
Demir, Eren
Adeyemi, Shola
Yakutcan, Usame
Kengne, Andre Pascal
Kayode, Gbenga
Aliyu, Ahmad
Idika, Nneoma
Isichei, Christian
Impact of pre-exposure and post-exposure prophylaxes prevention programme on HIV burden and services in a low-resource setting: a simulation modelling approach
title Impact of pre-exposure and post-exposure prophylaxes prevention programme on HIV burden and services in a low-resource setting: a simulation modelling approach
title_full Impact of pre-exposure and post-exposure prophylaxes prevention programme on HIV burden and services in a low-resource setting: a simulation modelling approach
title_fullStr Impact of pre-exposure and post-exposure prophylaxes prevention programme on HIV burden and services in a low-resource setting: a simulation modelling approach
title_full_unstemmed Impact of pre-exposure and post-exposure prophylaxes prevention programme on HIV burden and services in a low-resource setting: a simulation modelling approach
title_short Impact of pre-exposure and post-exposure prophylaxes prevention programme on HIV burden and services in a low-resource setting: a simulation modelling approach
title_sort impact of pre-exposure and post-exposure prophylaxes prevention programme on hiv burden and services in a low-resource setting: a simulation modelling approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683480/
https://www.ncbi.nlm.nih.gov/pubmed/34970405
http://dx.doi.org/10.11604/pamj.2021.40.163.26486
work_keys_str_mv AT adeotiadekunleolatayo impactofpreexposureandpostexposureprophylaxespreventionprogrammeonhivburdenandservicesinalowresourcesettingasimulationmodellingapproach
AT demireren impactofpreexposureandpostexposureprophylaxespreventionprogrammeonhivburdenandservicesinalowresourcesettingasimulationmodellingapproach
AT adeyemishola impactofpreexposureandpostexposureprophylaxespreventionprogrammeonhivburdenandservicesinalowresourcesettingasimulationmodellingapproach
AT yakutcanusame impactofpreexposureandpostexposureprophylaxespreventionprogrammeonhivburdenandservicesinalowresourcesettingasimulationmodellingapproach
AT kengneandrepascal impactofpreexposureandpostexposureprophylaxespreventionprogrammeonhivburdenandservicesinalowresourcesettingasimulationmodellingapproach
AT kayodegbenga impactofpreexposureandpostexposureprophylaxespreventionprogrammeonhivburdenandservicesinalowresourcesettingasimulationmodellingapproach
AT aliyuahmad impactofpreexposureandpostexposureprophylaxespreventionprogrammeonhivburdenandservicesinalowresourcesettingasimulationmodellingapproach
AT idikanneoma impactofpreexposureandpostexposureprophylaxespreventionprogrammeonhivburdenandservicesinalowresourcesettingasimulationmodellingapproach
AT isicheichristian impactofpreexposureandpostexposureprophylaxespreventionprogrammeonhivburdenandservicesinalowresourcesettingasimulationmodellingapproach