Risk‐based versus universal PrEP delivery during pregnancy: a cluster randomized trial in Western Kenya from 2018 to 2019
Abstract Introduction Integrating pre‐exposure prophylaxis (PrEP) delivery for pregnant and postpartum women within maternal and child health (MCH) clinics is feasible and acceptable. It is unknown whether a risk‐guided model would facilitate appropriate PrEP use among MCH attendees better than univ...
Ausführliche Beschreibung
Autor*in: |
John Kinuthia [verfasserIn] Julia C. Dettinger [verfasserIn] Joshua Stern [verfasserIn] Nancy Ngumbau [verfasserIn] Ben Ochieng [verfasserIn] Laurén Gómez [verfasserIn] Felix Abuna [verfasserIn] Salphine Watoyi [verfasserIn] Mary Marwa [verfasserIn] Daniel Odinga [verfasserIn] Anjuli D. Wagner [verfasserIn] Barbra A. Richardson [verfasserIn] Jillian Pintye [verfasserIn] Jared M. Baeten [verfasserIn] Grace John‐Stewart [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Übergeordnetes Werk: |
In: Journal of the International AIDS Society - Wiley, 2010, 26(2023), 2, Seite n/a-n/a |
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Übergeordnetes Werk: |
volume:26 ; year:2023 ; number:2 ; pages:n/a-n/a |
Links: |
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DOI / URN: |
10.1002/jia2.26061 |
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Katalog-ID: |
DOAJ079804381 |
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245 | 1 | 0 | |a Risk‐based versus universal PrEP delivery during pregnancy: a cluster randomized trial in Western Kenya from 2018 to 2019 |
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520 | |a Abstract Introduction Integrating pre‐exposure prophylaxis (PrEP) delivery for pregnant and postpartum women within maternal and child health (MCH) clinics is feasible and acceptable. It is unknown whether a risk‐guided model would facilitate appropriate PrEP use among MCH attendees better than universally offering PrEP. Methods The PrEP Implementation for Mothers in Antenatal Care (PrIMA) study was a cluster randomized trial to assess two models for PrEP delivery among pregnant women seeking routine MCH care at 20 public clinics in Kenya between January 2018 and July 2019 (NCT03070600). In the Universal arm, all participants received PrEP counselling and self‐selected whether to initiate PrEP. In the Targeted arm, participants underwent an HIV risk assessment, including an objective risk‐scoring tool and an offer of HIV self‐tests for at‐home partner testing; those determined to be at high risk received a PrEP offer. Participants were followed through 9 months postpartum. Primary outcomes included incident HIV and appropriate PrEP use (defined as PrEP uptake among those at high risk and no PrEP uptake for those not at risk). Outcomes were compared using intention‐to‐treat analyses, adjusting for baseline HIV risk and marital status. Results Among 4447 women enrolled, the median age was 24.0 years (interquartile range [IQR]: 20.9, 28.3), and most were married (84.8%). The median gestational age at enrolment was 24 weeks (IQR: 20, 30). Women in the Targeted arm were more likely to be at high risk for HIV acquisition at baseline (51.6% vs. 33.3%). During 4638 person‐years (p‐yr) of follow‐up, there were 16 maternal HIV infections with no difference in maternal HIV incidence between arms: 0.31/100 p‐yr (95% CI: 0.15, 0.65) Targeted and 0.38/100p‐yr (95% CI: 0.20, 0.73) Universal (adjusted relative risk [aRR]: 0.85 [CI: 0.28, 2.55]). There was no significant difference in the frequency of appropriate PrEP use between the arms (68.2% vs. 59.1% in Targeted vs. Universal, respectively) (aRR: 1.03 [CI: 0.96, 1.10]). Conclusions Given comparable maternal HIV incidence and PrEP uptake in Universal and Targeted approaches, and the simplicity that universal PrEP offers, our findings suggest that universal PrEP counselling is optimal for integrating PrEP in MCH systems. | ||
650 | 4 | |a pre‐exposure prophylaxis | |
650 | 4 | |a pregnancy | |
650 | 4 | |a postpartum | |
650 | 4 | |a HIV prevention | |
650 | 4 | |a breastfeeding | |
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653 | 0 | |a Immunologic diseases. Allergy | |
700 | 0 | |a Julia C. Dettinger |e verfasserin |4 aut | |
700 | 0 | |a Joshua Stern |e verfasserin |4 aut | |
700 | 0 | |a Nancy Ngumbau |e verfasserin |4 aut | |
700 | 0 | |a Ben Ochieng |e verfasserin |4 aut | |
700 | 0 | |a Laurén Gómez |e verfasserin |4 aut | |
700 | 0 | |a Felix Abuna |e verfasserin |4 aut | |
700 | 0 | |a Salphine Watoyi |e verfasserin |4 aut | |
700 | 0 | |a Mary Marwa |e verfasserin |4 aut | |
700 | 0 | |a Daniel Odinga |e verfasserin |4 aut | |
700 | 0 | |a Anjuli D. Wagner |e verfasserin |4 aut | |
700 | 0 | |a Barbra A. Richardson |e verfasserin |4 aut | |
700 | 0 | |a Jillian Pintye |e verfasserin |4 aut | |
700 | 0 | |a Jared M. Baeten |e verfasserin |4 aut | |
700 | 0 | |a Grace John‐Stewart |e verfasserin |4 aut | |
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10.1002/jia2.26061 doi (DE-627)DOAJ079804381 (DE-599)DOAJ1bf90f28fb9a47309bcdad0d966c3969 DE-627 ger DE-627 rakwb eng RC581-607 John Kinuthia verfasserin aut Risk‐based versus universal PrEP delivery during pregnancy: a cluster randomized trial in Western Kenya from 2018 to 2019 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Introduction Integrating pre‐exposure prophylaxis (PrEP) delivery for pregnant and postpartum women within maternal and child health (MCH) clinics is feasible and acceptable. It is unknown whether a risk‐guided model would facilitate appropriate PrEP use among MCH attendees better than universally offering PrEP. Methods The PrEP Implementation for Mothers in Antenatal Care (PrIMA) study was a cluster randomized trial to assess two models for PrEP delivery among pregnant women seeking routine MCH care at 20 public clinics in Kenya between January 2018 and July 2019 (NCT03070600). In the Universal arm, all participants received PrEP counselling and self‐selected whether to initiate PrEP. In the Targeted arm, participants underwent an HIV risk assessment, including an objective risk‐scoring tool and an offer of HIV self‐tests for at‐home partner testing; those determined to be at high risk received a PrEP offer. Participants were followed through 9 months postpartum. Primary outcomes included incident HIV and appropriate PrEP use (defined as PrEP uptake among those at high risk and no PrEP uptake for those not at risk). Outcomes were compared using intention‐to‐treat analyses, adjusting for baseline HIV risk and marital status. Results Among 4447 women enrolled, the median age was 24.0 years (interquartile range [IQR]: 20.9, 28.3), and most were married (84.8%). The median gestational age at enrolment was 24 weeks (IQR: 20, 30). Women in the Targeted arm were more likely to be at high risk for HIV acquisition at baseline (51.6% vs. 33.3%). During 4638 person‐years (p‐yr) of follow‐up, there were 16 maternal HIV infections with no difference in maternal HIV incidence between arms: 0.31/100 p‐yr (95% CI: 0.15, 0.65) Targeted and 0.38/100p‐yr (95% CI: 0.20, 0.73) Universal (adjusted relative risk [aRR]: 0.85 [CI: 0.28, 2.55]). There was no significant difference in the frequency of appropriate PrEP use between the arms (68.2% vs. 59.1% in Targeted vs. Universal, respectively) (aRR: 1.03 [CI: 0.96, 1.10]). Conclusions Given comparable maternal HIV incidence and PrEP uptake in Universal and Targeted approaches, and the simplicity that universal PrEP offers, our findings suggest that universal PrEP counselling is optimal for integrating PrEP in MCH systems. pre‐exposure prophylaxis pregnancy postpartum HIV prevention breastfeeding Kenya Immunologic diseases. Allergy Julia C. Dettinger verfasserin aut Joshua Stern verfasserin aut Nancy Ngumbau verfasserin aut Ben Ochieng verfasserin aut Laurén Gómez verfasserin aut Felix Abuna verfasserin aut Salphine Watoyi verfasserin aut Mary Marwa verfasserin aut Daniel Odinga verfasserin aut Anjuli D. Wagner verfasserin aut Barbra A. Richardson verfasserin aut Jillian Pintye verfasserin aut Jared M. Baeten verfasserin aut Grace John‐Stewart verfasserin aut In Journal of the International AIDS Society Wiley, 2010 26(2023), 2, Seite n/a-n/a (DE-627)585798125 (DE-600)2467110-1 17582652 nnns volume:26 year:2023 number:2 pages:n/a-n/a https://doi.org/10.1002/jia2.26061 kostenfrei https://doaj.org/article/1bf90f28fb9a47309bcdad0d966c3969 kostenfrei https://doi.org/10.1002/jia2.26061 kostenfrei https://doaj.org/toc/1758-2652 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2023 2 n/a-n/a |
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10.1002/jia2.26061 doi (DE-627)DOAJ079804381 (DE-599)DOAJ1bf90f28fb9a47309bcdad0d966c3969 DE-627 ger DE-627 rakwb eng RC581-607 John Kinuthia verfasserin aut Risk‐based versus universal PrEP delivery during pregnancy: a cluster randomized trial in Western Kenya from 2018 to 2019 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Introduction Integrating pre‐exposure prophylaxis (PrEP) delivery for pregnant and postpartum women within maternal and child health (MCH) clinics is feasible and acceptable. It is unknown whether a risk‐guided model would facilitate appropriate PrEP use among MCH attendees better than universally offering PrEP. Methods The PrEP Implementation for Mothers in Antenatal Care (PrIMA) study was a cluster randomized trial to assess two models for PrEP delivery among pregnant women seeking routine MCH care at 20 public clinics in Kenya between January 2018 and July 2019 (NCT03070600). In the Universal arm, all participants received PrEP counselling and self‐selected whether to initiate PrEP. In the Targeted arm, participants underwent an HIV risk assessment, including an objective risk‐scoring tool and an offer of HIV self‐tests for at‐home partner testing; those determined to be at high risk received a PrEP offer. Participants were followed through 9 months postpartum. Primary outcomes included incident HIV and appropriate PrEP use (defined as PrEP uptake among those at high risk and no PrEP uptake for those not at risk). Outcomes were compared using intention‐to‐treat analyses, adjusting for baseline HIV risk and marital status. Results Among 4447 women enrolled, the median age was 24.0 years (interquartile range [IQR]: 20.9, 28.3), and most were married (84.8%). The median gestational age at enrolment was 24 weeks (IQR: 20, 30). Women in the Targeted arm were more likely to be at high risk for HIV acquisition at baseline (51.6% vs. 33.3%). During 4638 person‐years (p‐yr) of follow‐up, there were 16 maternal HIV infections with no difference in maternal HIV incidence between arms: 0.31/100 p‐yr (95% CI: 0.15, 0.65) Targeted and 0.38/100p‐yr (95% CI: 0.20, 0.73) Universal (adjusted relative risk [aRR]: 0.85 [CI: 0.28, 2.55]). There was no significant difference in the frequency of appropriate PrEP use between the arms (68.2% vs. 59.1% in Targeted vs. Universal, respectively) (aRR: 1.03 [CI: 0.96, 1.10]). Conclusions Given comparable maternal HIV incidence and PrEP uptake in Universal and Targeted approaches, and the simplicity that universal PrEP offers, our findings suggest that universal PrEP counselling is optimal for integrating PrEP in MCH systems. pre‐exposure prophylaxis pregnancy postpartum HIV prevention breastfeeding Kenya Immunologic diseases. Allergy Julia C. Dettinger verfasserin aut Joshua Stern verfasserin aut Nancy Ngumbau verfasserin aut Ben Ochieng verfasserin aut Laurén Gómez verfasserin aut Felix Abuna verfasserin aut Salphine Watoyi verfasserin aut Mary Marwa verfasserin aut Daniel Odinga verfasserin aut Anjuli D. Wagner verfasserin aut Barbra A. Richardson verfasserin aut Jillian Pintye verfasserin aut Jared M. Baeten verfasserin aut Grace John‐Stewart verfasserin aut In Journal of the International AIDS Society Wiley, 2010 26(2023), 2, Seite n/a-n/a (DE-627)585798125 (DE-600)2467110-1 17582652 nnns volume:26 year:2023 number:2 pages:n/a-n/a https://doi.org/10.1002/jia2.26061 kostenfrei https://doaj.org/article/1bf90f28fb9a47309bcdad0d966c3969 kostenfrei https://doi.org/10.1002/jia2.26061 kostenfrei https://doaj.org/toc/1758-2652 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2023 2 n/a-n/a |
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10.1002/jia2.26061 doi (DE-627)DOAJ079804381 (DE-599)DOAJ1bf90f28fb9a47309bcdad0d966c3969 DE-627 ger DE-627 rakwb eng RC581-607 John Kinuthia verfasserin aut Risk‐based versus universal PrEP delivery during pregnancy: a cluster randomized trial in Western Kenya from 2018 to 2019 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Introduction Integrating pre‐exposure prophylaxis (PrEP) delivery for pregnant and postpartum women within maternal and child health (MCH) clinics is feasible and acceptable. It is unknown whether a risk‐guided model would facilitate appropriate PrEP use among MCH attendees better than universally offering PrEP. Methods The PrEP Implementation for Mothers in Antenatal Care (PrIMA) study was a cluster randomized trial to assess two models for PrEP delivery among pregnant women seeking routine MCH care at 20 public clinics in Kenya between January 2018 and July 2019 (NCT03070600). In the Universal arm, all participants received PrEP counselling and self‐selected whether to initiate PrEP. In the Targeted arm, participants underwent an HIV risk assessment, including an objective risk‐scoring tool and an offer of HIV self‐tests for at‐home partner testing; those determined to be at high risk received a PrEP offer. Participants were followed through 9 months postpartum. Primary outcomes included incident HIV and appropriate PrEP use (defined as PrEP uptake among those at high risk and no PrEP uptake for those not at risk). Outcomes were compared using intention‐to‐treat analyses, adjusting for baseline HIV risk and marital status. Results Among 4447 women enrolled, the median age was 24.0 years (interquartile range [IQR]: 20.9, 28.3), and most were married (84.8%). The median gestational age at enrolment was 24 weeks (IQR: 20, 30). Women in the Targeted arm were more likely to be at high risk for HIV acquisition at baseline (51.6% vs. 33.3%). During 4638 person‐years (p‐yr) of follow‐up, there were 16 maternal HIV infections with no difference in maternal HIV incidence between arms: 0.31/100 p‐yr (95% CI: 0.15, 0.65) Targeted and 0.38/100p‐yr (95% CI: 0.20, 0.73) Universal (adjusted relative risk [aRR]: 0.85 [CI: 0.28, 2.55]). There was no significant difference in the frequency of appropriate PrEP use between the arms (68.2% vs. 59.1% in Targeted vs. Universal, respectively) (aRR: 1.03 [CI: 0.96, 1.10]). Conclusions Given comparable maternal HIV incidence and PrEP uptake in Universal and Targeted approaches, and the simplicity that universal PrEP offers, our findings suggest that universal PrEP counselling is optimal for integrating PrEP in MCH systems. pre‐exposure prophylaxis pregnancy postpartum HIV prevention breastfeeding Kenya Immunologic diseases. Allergy Julia C. Dettinger verfasserin aut Joshua Stern verfasserin aut Nancy Ngumbau verfasserin aut Ben Ochieng verfasserin aut Laurén Gómez verfasserin aut Felix Abuna verfasserin aut Salphine Watoyi verfasserin aut Mary Marwa verfasserin aut Daniel Odinga verfasserin aut Anjuli D. Wagner verfasserin aut Barbra A. Richardson verfasserin aut Jillian Pintye verfasserin aut Jared M. Baeten verfasserin aut Grace John‐Stewart verfasserin aut In Journal of the International AIDS Society Wiley, 2010 26(2023), 2, Seite n/a-n/a (DE-627)585798125 (DE-600)2467110-1 17582652 nnns volume:26 year:2023 number:2 pages:n/a-n/a https://doi.org/10.1002/jia2.26061 kostenfrei https://doaj.org/article/1bf90f28fb9a47309bcdad0d966c3969 kostenfrei https://doi.org/10.1002/jia2.26061 kostenfrei https://doaj.org/toc/1758-2652 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2023 2 n/a-n/a |
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10.1002/jia2.26061 doi (DE-627)DOAJ079804381 (DE-599)DOAJ1bf90f28fb9a47309bcdad0d966c3969 DE-627 ger DE-627 rakwb eng RC581-607 John Kinuthia verfasserin aut Risk‐based versus universal PrEP delivery during pregnancy: a cluster randomized trial in Western Kenya from 2018 to 2019 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Introduction Integrating pre‐exposure prophylaxis (PrEP) delivery for pregnant and postpartum women within maternal and child health (MCH) clinics is feasible and acceptable. It is unknown whether a risk‐guided model would facilitate appropriate PrEP use among MCH attendees better than universally offering PrEP. Methods The PrEP Implementation for Mothers in Antenatal Care (PrIMA) study was a cluster randomized trial to assess two models for PrEP delivery among pregnant women seeking routine MCH care at 20 public clinics in Kenya between January 2018 and July 2019 (NCT03070600). In the Universal arm, all participants received PrEP counselling and self‐selected whether to initiate PrEP. In the Targeted arm, participants underwent an HIV risk assessment, including an objective risk‐scoring tool and an offer of HIV self‐tests for at‐home partner testing; those determined to be at high risk received a PrEP offer. Participants were followed through 9 months postpartum. Primary outcomes included incident HIV and appropriate PrEP use (defined as PrEP uptake among those at high risk and no PrEP uptake for those not at risk). Outcomes were compared using intention‐to‐treat analyses, adjusting for baseline HIV risk and marital status. Results Among 4447 women enrolled, the median age was 24.0 years (interquartile range [IQR]: 20.9, 28.3), and most were married (84.8%). The median gestational age at enrolment was 24 weeks (IQR: 20, 30). Women in the Targeted arm were more likely to be at high risk for HIV acquisition at baseline (51.6% vs. 33.3%). During 4638 person‐years (p‐yr) of follow‐up, there were 16 maternal HIV infections with no difference in maternal HIV incidence between arms: 0.31/100 p‐yr (95% CI: 0.15, 0.65) Targeted and 0.38/100p‐yr (95% CI: 0.20, 0.73) Universal (adjusted relative risk [aRR]: 0.85 [CI: 0.28, 2.55]). There was no significant difference in the frequency of appropriate PrEP use between the arms (68.2% vs. 59.1% in Targeted vs. Universal, respectively) (aRR: 1.03 [CI: 0.96, 1.10]). Conclusions Given comparable maternal HIV incidence and PrEP uptake in Universal and Targeted approaches, and the simplicity that universal PrEP offers, our findings suggest that universal PrEP counselling is optimal for integrating PrEP in MCH systems. pre‐exposure prophylaxis pregnancy postpartum HIV prevention breastfeeding Kenya Immunologic diseases. Allergy Julia C. Dettinger verfasserin aut Joshua Stern verfasserin aut Nancy Ngumbau verfasserin aut Ben Ochieng verfasserin aut Laurén Gómez verfasserin aut Felix Abuna verfasserin aut Salphine Watoyi verfasserin aut Mary Marwa verfasserin aut Daniel Odinga verfasserin aut Anjuli D. Wagner verfasserin aut Barbra A. Richardson verfasserin aut Jillian Pintye verfasserin aut Jared M. Baeten verfasserin aut Grace John‐Stewart verfasserin aut In Journal of the International AIDS Society Wiley, 2010 26(2023), 2, Seite n/a-n/a (DE-627)585798125 (DE-600)2467110-1 17582652 nnns volume:26 year:2023 number:2 pages:n/a-n/a https://doi.org/10.1002/jia2.26061 kostenfrei https://doaj.org/article/1bf90f28fb9a47309bcdad0d966c3969 kostenfrei https://doi.org/10.1002/jia2.26061 kostenfrei https://doaj.org/toc/1758-2652 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2023 2 n/a-n/a |
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10.1002/jia2.26061 doi (DE-627)DOAJ079804381 (DE-599)DOAJ1bf90f28fb9a47309bcdad0d966c3969 DE-627 ger DE-627 rakwb eng RC581-607 John Kinuthia verfasserin aut Risk‐based versus universal PrEP delivery during pregnancy: a cluster randomized trial in Western Kenya from 2018 to 2019 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Introduction Integrating pre‐exposure prophylaxis (PrEP) delivery for pregnant and postpartum women within maternal and child health (MCH) clinics is feasible and acceptable. It is unknown whether a risk‐guided model would facilitate appropriate PrEP use among MCH attendees better than universally offering PrEP. Methods The PrEP Implementation for Mothers in Antenatal Care (PrIMA) study was a cluster randomized trial to assess two models for PrEP delivery among pregnant women seeking routine MCH care at 20 public clinics in Kenya between January 2018 and July 2019 (NCT03070600). In the Universal arm, all participants received PrEP counselling and self‐selected whether to initiate PrEP. In the Targeted arm, participants underwent an HIV risk assessment, including an objective risk‐scoring tool and an offer of HIV self‐tests for at‐home partner testing; those determined to be at high risk received a PrEP offer. Participants were followed through 9 months postpartum. Primary outcomes included incident HIV and appropriate PrEP use (defined as PrEP uptake among those at high risk and no PrEP uptake for those not at risk). Outcomes were compared using intention‐to‐treat analyses, adjusting for baseline HIV risk and marital status. Results Among 4447 women enrolled, the median age was 24.0 years (interquartile range [IQR]: 20.9, 28.3), and most were married (84.8%). The median gestational age at enrolment was 24 weeks (IQR: 20, 30). Women in the Targeted arm were more likely to be at high risk for HIV acquisition at baseline (51.6% vs. 33.3%). During 4638 person‐years (p‐yr) of follow‐up, there were 16 maternal HIV infections with no difference in maternal HIV incidence between arms: 0.31/100 p‐yr (95% CI: 0.15, 0.65) Targeted and 0.38/100p‐yr (95% CI: 0.20, 0.73) Universal (adjusted relative risk [aRR]: 0.85 [CI: 0.28, 2.55]). There was no significant difference in the frequency of appropriate PrEP use between the arms (68.2% vs. 59.1% in Targeted vs. Universal, respectively) (aRR: 1.03 [CI: 0.96, 1.10]). Conclusions Given comparable maternal HIV incidence and PrEP uptake in Universal and Targeted approaches, and the simplicity that universal PrEP offers, our findings suggest that universal PrEP counselling is optimal for integrating PrEP in MCH systems. pre‐exposure prophylaxis pregnancy postpartum HIV prevention breastfeeding Kenya Immunologic diseases. Allergy Julia C. Dettinger verfasserin aut Joshua Stern verfasserin aut Nancy Ngumbau verfasserin aut Ben Ochieng verfasserin aut Laurén Gómez verfasserin aut Felix Abuna verfasserin aut Salphine Watoyi verfasserin aut Mary Marwa verfasserin aut Daniel Odinga verfasserin aut Anjuli D. Wagner verfasserin aut Barbra A. Richardson verfasserin aut Jillian Pintye verfasserin aut Jared M. Baeten verfasserin aut Grace John‐Stewart verfasserin aut In Journal of the International AIDS Society Wiley, 2010 26(2023), 2, Seite n/a-n/a (DE-627)585798125 (DE-600)2467110-1 17582652 nnns volume:26 year:2023 number:2 pages:n/a-n/a https://doi.org/10.1002/jia2.26061 kostenfrei https://doaj.org/article/1bf90f28fb9a47309bcdad0d966c3969 kostenfrei https://doi.org/10.1002/jia2.26061 kostenfrei https://doaj.org/toc/1758-2652 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2023 2 n/a-n/a |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ079804381</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230410112916.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230310s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1002/jia2.26061</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ079804381</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ1bf90f28fb9a47309bcdad0d966c3969</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC581-607</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">John Kinuthia</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Risk‐based versus universal PrEP delivery during pregnancy: a cluster randomized trial in Western Kenya from 2018 to 2019</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Introduction Integrating pre‐exposure prophylaxis (PrEP) delivery for pregnant and postpartum women within maternal and child health (MCH) clinics is feasible and acceptable. It is unknown whether a risk‐guided model would facilitate appropriate PrEP use among MCH attendees better than universally offering PrEP. Methods The PrEP Implementation for Mothers in Antenatal Care (PrIMA) study was a cluster randomized trial to assess two models for PrEP delivery among pregnant women seeking routine MCH care at 20 public clinics in Kenya between January 2018 and July 2019 (NCT03070600). In the Universal arm, all participants received PrEP counselling and self‐selected whether to initiate PrEP. In the Targeted arm, participants underwent an HIV risk assessment, including an objective risk‐scoring tool and an offer of HIV self‐tests for at‐home partner testing; those determined to be at high risk received a PrEP offer. Participants were followed through 9 months postpartum. Primary outcomes included incident HIV and appropriate PrEP use (defined as PrEP uptake among those at high risk and no PrEP uptake for those not at risk). Outcomes were compared using intention‐to‐treat analyses, adjusting for baseline HIV risk and marital status. Results Among 4447 women enrolled, the median age was 24.0 years (interquartile range [IQR]: 20.9, 28.3), and most were married (84.8%). The median gestational age at enrolment was 24 weeks (IQR: 20, 30). Women in the Targeted arm were more likely to be at high risk for HIV acquisition at baseline (51.6% vs. 33.3%). During 4638 person‐years (p‐yr) of follow‐up, there were 16 maternal HIV infections with no difference in maternal HIV incidence between arms: 0.31/100 p‐yr (95% CI: 0.15, 0.65) Targeted and 0.38/100p‐yr (95% CI: 0.20, 0.73) Universal (adjusted relative risk [aRR]: 0.85 [CI: 0.28, 2.55]). There was no significant difference in the frequency of appropriate PrEP use between the arms (68.2% vs. 59.1% in Targeted vs. Universal, respectively) (aRR: 1.03 [CI: 0.96, 1.10]). 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John Kinuthia Julia C. Dettinger Joshua Stern Nancy Ngumbau Ben Ochieng Laurén Gómez Felix Abuna Salphine Watoyi Mary Marwa Daniel Odinga Anjuli D. Wagner Barbra A. Richardson Jillian Pintye Jared M. Baeten Grace John‐Stewart |
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risk‐based versus universal prep delivery during pregnancy: a cluster randomized trial in western kenya from 2018 to 2019 |
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Risk‐based versus universal PrEP delivery during pregnancy: a cluster randomized trial in Western Kenya from 2018 to 2019 |
abstract |
Abstract Introduction Integrating pre‐exposure prophylaxis (PrEP) delivery for pregnant and postpartum women within maternal and child health (MCH) clinics is feasible and acceptable. It is unknown whether a risk‐guided model would facilitate appropriate PrEP use among MCH attendees better than universally offering PrEP. Methods The PrEP Implementation for Mothers in Antenatal Care (PrIMA) study was a cluster randomized trial to assess two models for PrEP delivery among pregnant women seeking routine MCH care at 20 public clinics in Kenya between January 2018 and July 2019 (NCT03070600). In the Universal arm, all participants received PrEP counselling and self‐selected whether to initiate PrEP. In the Targeted arm, participants underwent an HIV risk assessment, including an objective risk‐scoring tool and an offer of HIV self‐tests for at‐home partner testing; those determined to be at high risk received a PrEP offer. Participants were followed through 9 months postpartum. Primary outcomes included incident HIV and appropriate PrEP use (defined as PrEP uptake among those at high risk and no PrEP uptake for those not at risk). Outcomes were compared using intention‐to‐treat analyses, adjusting for baseline HIV risk and marital status. Results Among 4447 women enrolled, the median age was 24.0 years (interquartile range [IQR]: 20.9, 28.3), and most were married (84.8%). The median gestational age at enrolment was 24 weeks (IQR: 20, 30). Women in the Targeted arm were more likely to be at high risk for HIV acquisition at baseline (51.6% vs. 33.3%). During 4638 person‐years (p‐yr) of follow‐up, there were 16 maternal HIV infections with no difference in maternal HIV incidence between arms: 0.31/100 p‐yr (95% CI: 0.15, 0.65) Targeted and 0.38/100p‐yr (95% CI: 0.20, 0.73) Universal (adjusted relative risk [aRR]: 0.85 [CI: 0.28, 2.55]). There was no significant difference in the frequency of appropriate PrEP use between the arms (68.2% vs. 59.1% in Targeted vs. Universal, respectively) (aRR: 1.03 [CI: 0.96, 1.10]). Conclusions Given comparable maternal HIV incidence and PrEP uptake in Universal and Targeted approaches, and the simplicity that universal PrEP offers, our findings suggest that universal PrEP counselling is optimal for integrating PrEP in MCH systems. |
abstractGer |
Abstract Introduction Integrating pre‐exposure prophylaxis (PrEP) delivery for pregnant and postpartum women within maternal and child health (MCH) clinics is feasible and acceptable. It is unknown whether a risk‐guided model would facilitate appropriate PrEP use among MCH attendees better than universally offering PrEP. Methods The PrEP Implementation for Mothers in Antenatal Care (PrIMA) study was a cluster randomized trial to assess two models for PrEP delivery among pregnant women seeking routine MCH care at 20 public clinics in Kenya between January 2018 and July 2019 (NCT03070600). In the Universal arm, all participants received PrEP counselling and self‐selected whether to initiate PrEP. In the Targeted arm, participants underwent an HIV risk assessment, including an objective risk‐scoring tool and an offer of HIV self‐tests for at‐home partner testing; those determined to be at high risk received a PrEP offer. Participants were followed through 9 months postpartum. Primary outcomes included incident HIV and appropriate PrEP use (defined as PrEP uptake among those at high risk and no PrEP uptake for those not at risk). Outcomes were compared using intention‐to‐treat analyses, adjusting for baseline HIV risk and marital status. Results Among 4447 women enrolled, the median age was 24.0 years (interquartile range [IQR]: 20.9, 28.3), and most were married (84.8%). The median gestational age at enrolment was 24 weeks (IQR: 20, 30). Women in the Targeted arm were more likely to be at high risk for HIV acquisition at baseline (51.6% vs. 33.3%). During 4638 person‐years (p‐yr) of follow‐up, there were 16 maternal HIV infections with no difference in maternal HIV incidence between arms: 0.31/100 p‐yr (95% CI: 0.15, 0.65) Targeted and 0.38/100p‐yr (95% CI: 0.20, 0.73) Universal (adjusted relative risk [aRR]: 0.85 [CI: 0.28, 2.55]). There was no significant difference in the frequency of appropriate PrEP use between the arms (68.2% vs. 59.1% in Targeted vs. Universal, respectively) (aRR: 1.03 [CI: 0.96, 1.10]). Conclusions Given comparable maternal HIV incidence and PrEP uptake in Universal and Targeted approaches, and the simplicity that universal PrEP offers, our findings suggest that universal PrEP counselling is optimal for integrating PrEP in MCH systems. |
abstract_unstemmed |
Abstract Introduction Integrating pre‐exposure prophylaxis (PrEP) delivery for pregnant and postpartum women within maternal and child health (MCH) clinics is feasible and acceptable. It is unknown whether a risk‐guided model would facilitate appropriate PrEP use among MCH attendees better than universally offering PrEP. Methods The PrEP Implementation for Mothers in Antenatal Care (PrIMA) study was a cluster randomized trial to assess two models for PrEP delivery among pregnant women seeking routine MCH care at 20 public clinics in Kenya between January 2018 and July 2019 (NCT03070600). In the Universal arm, all participants received PrEP counselling and self‐selected whether to initiate PrEP. In the Targeted arm, participants underwent an HIV risk assessment, including an objective risk‐scoring tool and an offer of HIV self‐tests for at‐home partner testing; those determined to be at high risk received a PrEP offer. Participants were followed through 9 months postpartum. Primary outcomes included incident HIV and appropriate PrEP use (defined as PrEP uptake among those at high risk and no PrEP uptake for those not at risk). Outcomes were compared using intention‐to‐treat analyses, adjusting for baseline HIV risk and marital status. Results Among 4447 women enrolled, the median age was 24.0 years (interquartile range [IQR]: 20.9, 28.3), and most were married (84.8%). The median gestational age at enrolment was 24 weeks (IQR: 20, 30). Women in the Targeted arm were more likely to be at high risk for HIV acquisition at baseline (51.6% vs. 33.3%). During 4638 person‐years (p‐yr) of follow‐up, there were 16 maternal HIV infections with no difference in maternal HIV incidence between arms: 0.31/100 p‐yr (95% CI: 0.15, 0.65) Targeted and 0.38/100p‐yr (95% CI: 0.20, 0.73) Universal (adjusted relative risk [aRR]: 0.85 [CI: 0.28, 2.55]). There was no significant difference in the frequency of appropriate PrEP use between the arms (68.2% vs. 59.1% in Targeted vs. Universal, respectively) (aRR: 1.03 [CI: 0.96, 1.10]). Conclusions Given comparable maternal HIV incidence and PrEP uptake in Universal and Targeted approaches, and the simplicity that universal PrEP offers, our findings suggest that universal PrEP counselling is optimal for integrating PrEP in MCH systems. |
collection_details |
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title_short |
Risk‐based versus universal PrEP delivery during pregnancy: a cluster randomized trial in Western Kenya from 2018 to 2019 |
url |
https://doi.org/10.1002/jia2.26061 https://doaj.org/article/1bf90f28fb9a47309bcdad0d966c3969 https://doaj.org/toc/1758-2652 |
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Julia C. Dettinger Joshua Stern Nancy Ngumbau Ben Ochieng Laurén Gómez Felix Abuna Salphine Watoyi Mary Marwa Daniel Odinga Anjuli D. Wagner Barbra A. Richardson Jillian Pintye Jared M. Baeten Grace John‐Stewart |
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Julia C. Dettinger Joshua Stern Nancy Ngumbau Ben Ochieng Laurén Gómez Felix Abuna Salphine Watoyi Mary Marwa Daniel Odinga Anjuli D. Wagner Barbra A. Richardson Jillian Pintye Jared M. Baeten Grace John‐Stewart |
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10.1002/jia2.26061 |
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up_date |
2024-07-04T00:53:23.290Z |
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|
score |
7.401972 |