Cargando…

The impact of scaling up cervical cancer screening and treatment services among women living with HIV in Kenya: a modelling study

INTRODUCTION: We aimed to quantify health outcomes and programmatic implications of scaling up cervical cancer (CC) screening and treatment options for women living with HIV in care aged 18–65 in Kenya. METHODS: Mathematical model comparing from 2020 to 2040: (1) visual inspection with acetic acid (...

Descripción completa

Detalles Bibliográficos
Autores principales: Perez-Guzman, Pablo Noel, Chung, Michael Hoonbae, De Vuyst, Hugo, Dalal, Shona, Mutai, Kennedy K, Muthoni, Karanja, Kigen, Bartilol, Kilonzo, Nduku, Hallett, Timothy B, Smit, Mikaela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170464/
https://www.ncbi.nlm.nih.gov/pubmed/32337077
http://dx.doi.org/10.1136/bmjgh-2019-001886
_version_ 1783523899366965248
author Perez-Guzman, Pablo Noel
Chung, Michael Hoonbae
De Vuyst, Hugo
Dalal, Shona
Mutai, Kennedy K
Muthoni, Karanja
Kigen, Bartilol
Kilonzo, Nduku
Hallett, Timothy B
Smit, Mikaela
author_facet Perez-Guzman, Pablo Noel
Chung, Michael Hoonbae
De Vuyst, Hugo
Dalal, Shona
Mutai, Kennedy K
Muthoni, Karanja
Kigen, Bartilol
Kilonzo, Nduku
Hallett, Timothy B
Smit, Mikaela
author_sort Perez-Guzman, Pablo Noel
collection PubMed
description INTRODUCTION: We aimed to quantify health outcomes and programmatic implications of scaling up cervical cancer (CC) screening and treatment options for women living with HIV in care aged 18–65 in Kenya. METHODS: Mathematical model comparing from 2020 to 2040: (1) visual inspection with acetic acid (VIA) and cryotherapy (Cryo); (2) VIA and Cryo or loop excision electrical procedure (LEEP), as indicated; (3) human papillomavirus (HPV)-DNA testing and Cryo or LEEP; and (4) enhanced screening technologies (either same-day HPV-DNA testing or digitally enhanced VIA) and Cryo or LEEP. Outcomes measured were annual number of CC cases, deaths, screening and treatment interventions, and engaged in care (numbers screened, treated and cured) and five yearly age-standardised incidence. RESULTS: All options will reduce CC cases and deaths compared with no scale-up. Options 1–3 will perform similarly, averting approximately 28 000 (33%) CC cases and 7700 (27%) deaths. That is, VIA screening would yield minimal losses to follow-up (LTFU). Conversely, LTFU associated with HPV-DNA testing will yield a lower care engagement, despite better diagnostic performance. In contrast, option 4 would maximise health outcomes, averting 43 200 (50%) CC cases and 11 800 (40%) deaths, given greater care engagement. Yearly rescreening with either option will impose a substantial burden on the health system, which could be reduced by spacing out frequency to three yearly without undermining health gains. CONCLUSIONS: Beyond the specific choice of technologies to scale up, efficiently using available options will drive programmatic success. Addressing practical constraints around diagnostics’ performance and LTFU will be key to effectively avert CC cases and deaths.
format Online
Article
Text
id pubmed-7170464
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-71704642020-04-24 The impact of scaling up cervical cancer screening and treatment services among women living with HIV in Kenya: a modelling study Perez-Guzman, Pablo Noel Chung, Michael Hoonbae De Vuyst, Hugo Dalal, Shona Mutai, Kennedy K Muthoni, Karanja Kigen, Bartilol Kilonzo, Nduku Hallett, Timothy B Smit, Mikaela BMJ Glob Health Original Research INTRODUCTION: We aimed to quantify health outcomes and programmatic implications of scaling up cervical cancer (CC) screening and treatment options for women living with HIV in care aged 18–65 in Kenya. METHODS: Mathematical model comparing from 2020 to 2040: (1) visual inspection with acetic acid (VIA) and cryotherapy (Cryo); (2) VIA and Cryo or loop excision electrical procedure (LEEP), as indicated; (3) human papillomavirus (HPV)-DNA testing and Cryo or LEEP; and (4) enhanced screening technologies (either same-day HPV-DNA testing or digitally enhanced VIA) and Cryo or LEEP. Outcomes measured were annual number of CC cases, deaths, screening and treatment interventions, and engaged in care (numbers screened, treated and cured) and five yearly age-standardised incidence. RESULTS: All options will reduce CC cases and deaths compared with no scale-up. Options 1–3 will perform similarly, averting approximately 28 000 (33%) CC cases and 7700 (27%) deaths. That is, VIA screening would yield minimal losses to follow-up (LTFU). Conversely, LTFU associated with HPV-DNA testing will yield a lower care engagement, despite better diagnostic performance. In contrast, option 4 would maximise health outcomes, averting 43 200 (50%) CC cases and 11 800 (40%) deaths, given greater care engagement. Yearly rescreening with either option will impose a substantial burden on the health system, which could be reduced by spacing out frequency to three yearly without undermining health gains. CONCLUSIONS: Beyond the specific choice of technologies to scale up, efficiently using available options will drive programmatic success. Addressing practical constraints around diagnostics’ performance and LTFU will be key to effectively avert CC cases and deaths. BMJ Publishing Group 2020-03-29 /pmc/articles/PMC7170464/ /pubmed/32337077 http://dx.doi.org/10.1136/bmjgh-2019-001886 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Perez-Guzman, Pablo Noel
Chung, Michael Hoonbae
De Vuyst, Hugo
Dalal, Shona
Mutai, Kennedy K
Muthoni, Karanja
Kigen, Bartilol
Kilonzo, Nduku
Hallett, Timothy B
Smit, Mikaela
The impact of scaling up cervical cancer screening and treatment services among women living with HIV in Kenya: a modelling study
title The impact of scaling up cervical cancer screening and treatment services among women living with HIV in Kenya: a modelling study
title_full The impact of scaling up cervical cancer screening and treatment services among women living with HIV in Kenya: a modelling study
title_fullStr The impact of scaling up cervical cancer screening and treatment services among women living with HIV in Kenya: a modelling study
title_full_unstemmed The impact of scaling up cervical cancer screening and treatment services among women living with HIV in Kenya: a modelling study
title_short The impact of scaling up cervical cancer screening and treatment services among women living with HIV in Kenya: a modelling study
title_sort impact of scaling up cervical cancer screening and treatment services among women living with hiv in kenya: a modelling study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170464/
https://www.ncbi.nlm.nih.gov/pubmed/32337077
http://dx.doi.org/10.1136/bmjgh-2019-001886
work_keys_str_mv AT perezguzmanpablonoel theimpactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT chungmichaelhoonbae theimpactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT devuysthugo theimpactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT dalalshona theimpactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT mutaikennedyk theimpactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT muthonikaranja theimpactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT kigenbartilol theimpactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT kilonzonduku theimpactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT halletttimothyb theimpactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT smitmikaela theimpactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT perezguzmanpablonoel impactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT chungmichaelhoonbae impactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT devuysthugo impactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT dalalshona impactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT mutaikennedyk impactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT muthonikaranja impactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT kigenbartilol impactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT kilonzonduku impactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT halletttimothyb impactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy
AT smitmikaela impactofscalingupcervicalcancerscreeningandtreatmentservicesamongwomenlivingwithhivinkenyaamodellingstudy