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Enhancing HIV positivity yield in southern Mozambique: The effect of a Ministry of Health training module in targeted provider-initiated testing and counselling
In Mozambique, targeted provider-initiated HIV testing and counselling (PITC) is recommended where universal PITC is not feasible, but its effectiveness depends on healthcare providers' training. This study aimed to evaluate the effect of a Ministry of Health training module in targeted PITC on...
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Published in: | PloS one 2024-05, Vol.19 (5), p.e0303063-e0303063 |
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creator | Saura-Lázaro, Anna Fernández-Luis, Sheila Nhampossa, Tacilta Fuente-Soro, Laura López-Varela, Elisa Bernardo, Edson Augusto, Orvalho Sánchez, Teresa Vaz, Paula Wei, Stanley C Kerndt, Peter Honwana, Nely Young, Peter Amane, Guita Boene, Fernando Naniche, Denise |
description | In Mozambique, targeted provider-initiated HIV testing and counselling (PITC) is recommended where universal PITC is not feasible, but its effectiveness depends on healthcare providers' training. This study aimed to evaluate the effect of a Ministry of Health training module in targeted PITC on the HIV positivity yield, and identify factors associated with a positive HIV test. We conducted a single-group pre-post study between November 2018 and November 2019 in the triage and emergency departments of four healthcare facilities in Manhiça District, a resource-constrained semi-rural area. It consisted of two two-month phases split by a one-week targeted PITC training module ("observation phases"). The HIV positivity yield of targeted PITC was estimated as the proportion of HIV-positive individuals among those recommended for HIV testing by the provider. Additionally, we extracted aggregated health information system data over the four months preceding and following the observation phases to compare yield in real-world conditions ("routine phases"). Logistic regression analysis from observation phase data was conducted to identify factors associated with a positive HIV test. Among the 7,102 participants in the pre- and post-training observation phases (58.5% and 41.5% respectively), 68% were women, and 96% were recruited at triage. In the routine phases with 33,261 individuals (45.8% pre, 54.2% post), 64% were women, and 84% were seen at triage. While HIV positivity yield between pre- and post-training observation phases was similar (10.9% (269/2470) and 11.1% (207/1865), respectively), we observed an increase in yield in the post-training routine phase for women in triage, rising from 4.8% (74/1553) to 7.3% (61/831) (Yield ratio = 1.54; 95%CI: 1.11-2.14). Age (25-49 years) (OR = 2.43; 95%CI: 1.37-4.33), working in industry/mining (OR = 4.94; 95%CI: 2.17-11.23), unawareness of partner's HIV status (OR = 2.50; 95%CI: 1.91-3.27), and visiting a healer (OR = 1.74; 95%CI: 1.03-2.93) were factors associated with a positive HIV test. Including these factors in the targeted PITC algorithm could have increased new HIV diagnoses by 2.6%. In conclusion, providing refresher training and adapting the current targeted PITC algorithm through further research can help reach undiagnosed PLHIV, treat all, and ultimately eliminate HIV, especially in resource-limited rural areas. |
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This study aimed to evaluate the effect of a Ministry of Health training module in targeted PITC on the HIV positivity yield, and identify factors associated with a positive HIV test. We conducted a single-group pre-post study between November 2018 and November 2019 in the triage and emergency departments of four healthcare facilities in Manhiça District, a resource-constrained semi-rural area. It consisted of two two-month phases split by a one-week targeted PITC training module ("observation phases"). The HIV positivity yield of targeted PITC was estimated as the proportion of HIV-positive individuals among those recommended for HIV testing by the provider. Additionally, we extracted aggregated health information system data over the four months preceding and following the observation phases to compare yield in real-world conditions ("routine phases"). Logistic regression analysis from observation phase data was conducted to identify factors associated with a positive HIV test. Among the 7,102 participants in the pre- and post-training observation phases (58.5% and 41.5% respectively), 68% were women, and 96% were recruited at triage. In the routine phases with 33,261 individuals (45.8% pre, 54.2% post), 64% were women, and 84% were seen at triage. While HIV positivity yield between pre- and post-training observation phases was similar (10.9% (269/2470) and 11.1% (207/1865), respectively), we observed an increase in yield in the post-training routine phase for women in triage, rising from 4.8% (74/1553) to 7.3% (61/831) (Yield ratio = 1.54; 95%CI: 1.11-2.14). Age (25-49 years) (OR = 2.43; 95%CI: 1.37-4.33), working in industry/mining (OR = 4.94; 95%CI: 2.17-11.23), unawareness of partner's HIV status (OR = 2.50; 95%CI: 1.91-3.27), and visiting a healer (OR = 1.74; 95%CI: 1.03-2.93) were factors associated with a positive HIV test. Including these factors in the targeted PITC algorithm could have increased new HIV diagnoses by 2.6%. In conclusion, providing refresher training and adapting the current targeted PITC algorithm through further research can help reach undiagnosed PLHIV, treat all, and ultimately eliminate HIV, especially in resource-limited rural areas.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0303063</identifier><identifier>PMID: 38781226</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acquired immune deficiency syndrome ; Adolescent ; Adult ; AIDS ; Algorithms ; Analysis ; Biology and Life Sciences ; Case reports ; Counseling ; Emergency medical care ; Emergency service ; Emergency Service, Hospital ; Female ; Health care ; Health care facilities ; Health facilities ; Health Personnel - education ; HIV ; HIV (Viruses) ; HIV Infections - diagnosis ; HIV Infections - epidemiology ; HIV testing ; HIV Testing - methods ; Hospitals ; Human immunodeficiency virus ; Humans ; Information systems ; Male ; Mass Screening - methods ; Medical diagnosis ; Medical informatics ; Medical personnel ; Medical tests ; Medicine and Health Sciences ; Middle Aged ; Modules ; Mozambique - epidemiology ; Phases ; Regression analysis ; Risk factors ; Rural areas ; Training ; Triage - methods ; Young Adult</subject><ispartof>PloS one, 2024-05, Vol.19 (5), p.e0303063-e0303063</ispartof><rights>Copyright: © 2024 Saura-Lázaro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Saura-Lázaro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Saura-Lázaro et al 2024 Saura-Lázaro et al</rights><rights>2024 Saura-Lázaro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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This study aimed to evaluate the effect of a Ministry of Health training module in targeted PITC on the HIV positivity yield, and identify factors associated with a positive HIV test. We conducted a single-group pre-post study between November 2018 and November 2019 in the triage and emergency departments of four healthcare facilities in Manhiça District, a resource-constrained semi-rural area. It consisted of two two-month phases split by a one-week targeted PITC training module ("observation phases"). The HIV positivity yield of targeted PITC was estimated as the proportion of HIV-positive individuals among those recommended for HIV testing by the provider. Additionally, we extracted aggregated health information system data over the four months preceding and following the observation phases to compare yield in real-world conditions ("routine phases"). Logistic regression analysis from observation phase data was conducted to identify factors associated with a positive HIV test. Among the 7,102 participants in the pre- and post-training observation phases (58.5% and 41.5% respectively), 68% were women, and 96% were recruited at triage. In the routine phases with 33,261 individuals (45.8% pre, 54.2% post), 64% were women, and 84% were seen at triage. While HIV positivity yield between pre- and post-training observation phases was similar (10.9% (269/2470) and 11.1% (207/1865), respectively), we observed an increase in yield in the post-training routine phase for women in triage, rising from 4.8% (74/1553) to 7.3% (61/831) (Yield ratio = 1.54; 95%CI: 1.11-2.14). Age (25-49 years) (OR = 2.43; 95%CI: 1.37-4.33), working in industry/mining (OR = 4.94; 95%CI: 2.17-11.23), unawareness of partner's HIV status (OR = 2.50; 95%CI: 1.91-3.27), and visiting a healer (OR = 1.74; 95%CI: 1.03-2.93) were factors associated with a positive HIV test. Including these factors in the targeted PITC algorithm could have increased new HIV diagnoses by 2.6%. In conclusion, providing refresher training and adapting the current targeted PITC algorithm through further research can help reach undiagnosed PLHIV, treat all, and ultimately eliminate HIV, especially in resource-limited rural areas.</description><subject>Acquired immune deficiency syndrome</subject><subject>Adolescent</subject><subject>Adult</subject><subject>AIDS</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Case reports</subject><subject>Counseling</subject><subject>Emergency medical care</subject><subject>Emergency service</subject><subject>Emergency Service, Hospital</subject><subject>Female</subject><subject>Health care</subject><subject>Health care facilities</subject><subject>Health facilities</subject><subject>Health Personnel - education</subject><subject>HIV</subject><subject>HIV (Viruses)</subject><subject>HIV Infections - diagnosis</subject><subject>HIV Infections - epidemiology</subject><subject>HIV testing</subject><subject>HIV Testing - methods</subject><subject>Hospitals</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Information systems</subject><subject>Male</subject><subject>Mass Screening - methods</subject><subject>Medical diagnosis</subject><subject>Medical informatics</subject><subject>Medical personnel</subject><subject>Medical tests</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Modules</subject><subject>Mozambique - epidemiology</subject><subject>Phases</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Rural areas</subject><subject>Training</subject><subject>Triage - methods</subject><subject>Young 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Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saura-Lázaro, Anna</au><au>Fernández-Luis, Sheila</au><au>Nhampossa, Tacilta</au><au>Fuente-Soro, Laura</au><au>López-Varela, Elisa</au><au>Bernardo, Edson</au><au>Augusto, Orvalho</au><au>Sánchez, Teresa</au><au>Vaz, Paula</au><au>Wei, Stanley C</au><au>Kerndt, Peter</au><au>Honwana, Nely</au><au>Young, Peter</au><au>Amane, Guita</au><au>Boene, Fernando</au><au>Naniche, Denise</au><au>Mugauri, Hamufare Dumisani Dumisani</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhancing HIV positivity yield in southern Mozambique: The effect of a Ministry of Health training module in targeted provider-initiated testing and counselling</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-05-23</date><risdate>2024</risdate><volume>19</volume><issue>5</issue><spage>e0303063</spage><epage>e0303063</epage><pages>e0303063-e0303063</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>In Mozambique, targeted provider-initiated HIV testing and counselling (PITC) is recommended where universal PITC is not feasible, but its effectiveness depends on healthcare providers' training. This study aimed to evaluate the effect of a Ministry of Health training module in targeted PITC on the HIV positivity yield, and identify factors associated with a positive HIV test. We conducted a single-group pre-post study between November 2018 and November 2019 in the triage and emergency departments of four healthcare facilities in Manhiça District, a resource-constrained semi-rural area. It consisted of two two-month phases split by a one-week targeted PITC training module ("observation phases"). The HIV positivity yield of targeted PITC was estimated as the proportion of HIV-positive individuals among those recommended for HIV testing by the provider. Additionally, we extracted aggregated health information system data over the four months preceding and following the observation phases to compare yield in real-world conditions ("routine phases"). Logistic regression analysis from observation phase data was conducted to identify factors associated with a positive HIV test. Among the 7,102 participants in the pre- and post-training observation phases (58.5% and 41.5% respectively), 68% were women, and 96% were recruited at triage. In the routine phases with 33,261 individuals (45.8% pre, 54.2% post), 64% were women, and 84% were seen at triage. While HIV positivity yield between pre- and post-training observation phases was similar (10.9% (269/2470) and 11.1% (207/1865), respectively), we observed an increase in yield in the post-training routine phase for women in triage, rising from 4.8% (74/1553) to 7.3% (61/831) (Yield ratio = 1.54; 95%CI: 1.11-2.14). Age (25-49 years) (OR = 2.43; 95%CI: 1.37-4.33), working in industry/mining (OR = 4.94; 95%CI: 2.17-11.23), unawareness of partner's HIV status (OR = 2.50; 95%CI: 1.91-3.27), and visiting a healer (OR = 1.74; 95%CI: 1.03-2.93) were factors associated with a positive HIV test. Including these factors in the targeted PITC algorithm could have increased new HIV diagnoses by 2.6%. In conclusion, providing refresher training and adapting the current targeted PITC algorithm through further research can help reach undiagnosed PLHIV, treat all, and ultimately eliminate HIV, especially in resource-limited rural areas.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38781226</pmid><doi>10.1371/journal.pone.0303063</doi><tpages>e0303063</tpages><orcidid>https://orcid.org/0000-0001-9742-2725</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2024-05, Vol.19 (5), p.e0303063-e0303063 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_3069290059 |
source | Publicly Available Content (ProQuest); PubMed Central |
subjects | Acquired immune deficiency syndrome Adolescent Adult AIDS Algorithms Analysis Biology and Life Sciences Case reports Counseling Emergency medical care Emergency service Emergency Service, Hospital Female Health care Health care facilities Health facilities Health Personnel - education HIV HIV (Viruses) HIV Infections - diagnosis HIV Infections - epidemiology HIV testing HIV Testing - methods Hospitals Human immunodeficiency virus Humans Information systems Male Mass Screening - methods Medical diagnosis Medical informatics Medical personnel Medical tests Medicine and Health Sciences Middle Aged Modules Mozambique - epidemiology Phases Regression analysis Risk factors Rural areas Training Triage - methods Young Adult |
title | Enhancing HIV positivity yield in southern Mozambique: The effect of a Ministry of Health training module in targeted provider-initiated testing and counselling |
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