Evidence map›Paper›PMID 38292038›Full record

ArticleEClinicalMedicine2024

Structural influences on delivery and use of oral HIV PrEP among adolescent girls and young women seeking post abortion care in Kenya.

Yasaman Zia, Lydia Etyang, Bernard Nyerere, Cyprian Nyamwaro, Felix Mogaka, Margaret Mwangi, Lavender June, Roy Njiru, Job Mokoyo, Susan Kimani and 6 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 3 institutions in 2 countries.

Yasaman ZiaDepartment of Epidemiology, University of Washington, USA.
Lydia EtyangCenter for Clinical Research, Kenya Medical Research Institute, Kenya.
Bernard NyerereCenter for Microbiology Research, Kenya Medical Research Institute, Kenya.
Cyprian NyamwaroMarie Stopes Kenya, Kenya.
Felix MogakaCenter for Microbiology Research, Kenya Medical Research Institute, Kenya.
Margaret MwangiCenter for Clinical Research, Kenya Medical Research Institute, Kenya.
Lavender JuneCenter for Microbiology Research, Kenya Medical Research Institute, Kenya.
Roy NjiruCenter for Clinical Research, Kenya Medical Research Institute, Kenya.
Job MokoyoMarie Stopes Kenya, Kenya.
Susan KimaniMarie Stopes Kenya, Kenya.
Katherine K ThomasDepartment of Global Health, University of Washington, USA.
Kenneth NgureDepartment of Global Health, University of Washington, USA.
Inviolata WanyamaMarie Stopes Kenya, Kenya.
Elizabeth BukusiDepartment of Global Health, University of Washington, USA.
Nelly MugoDepartment of Global Health, University of Washington, USA.
Renee HeffronDepartment of Epidemiology, University of Washington, USA.
Kenya Medical Research Institute · KEUniversity of Washington · USKenya Forest Service · KE

Funding

Mentoring and research to prepare oral PrEP delivery platforms for novel HIVprevention productsK24MH123371 · NIMH · UNIVERSITY OF WASHINGTON · PI HEFFRON, RENEE A. · 2021 to 2025
$749k
Optimizing Pre-exposure Prophylaxis Use among Adolescent Girls and Young Women Seeking Reproductive Health Care in KenyaF31HD105494 · NICHD · UNIVERSITY OF WASHINGTON · PI ZIA, YASAMAN · 2021 to 2022
$86k
NICHD NIH HHS F31 HD105494NIMH NIH HHS K24 MH123371
6 · The paper itself

Abstract

Background: Adolescent girls and young women (AGYW) in East and southern Africa experience a disproportionate burden of HIV incidence. Integrating HIV pre-exposure prophylaxis (PrEP) within existing programs is a key component of addressing this disparity. Methods: We evaluated an oral PrEP program integrated into post-abortion care (PAC) in Kenya from March 2021 to November 2022. Technical advisors trained staff at PAC clinics on PrEP delivery, abstracted program data from each clinic, and collected data on structural characteristics. Utilizing a modified Poisson regression, we estimated the effect of structural factors on the probability of PrEP offer and uptake. Findings: We abstracted data on 6877 AGYW, aged 15-30 years, across 14 PAC clinics. PrEP offers were made to 57.4% of PAC clients and 14.1% initiated PrEP. Offers were associated with an increased probability at clinics that had consistent supply of PrEP (relative risk (RR):1.81, 95% CI: 1.1-2.95), inconsistent HIV testing commodities (RR: 1.89, 95% CI: 1.29-2.78), had all providers trained (RR: 1.65, 95% CI: 1.01, 2.68), and were public (RR: 1.89, 95% CI: 1.29-2.78). These same factors were associated with PrEP uptake: consistent supply of PrEP (RR: 2.71, 95% CI: 1.44-5.09), inconsistent HIV testing commodities (RR: 2.55, 95% CI: 1.39-4.67), all providers trained (RR: 2.61, 95% CI: 1.38-4.92), and were public (RR: 2.55, 95% CI: 1.39-4.67). Interpretation: Greater success with integration of HIV prevention into reproductive health services will likely require investments in systems, such as human resources and PrEP and HIV testing commodities, to create stable availability and ensure consistent access. Funding: PrEDIRA 2 was supported by funding from Children's Investment Fund Foundation (R-2001-04433). Ms. Zia was funded by the NIH Ruth L. Kirchstein pre-doctoral award (5F31HD105494-02) and Dr. Heffron was funded by National Institute of Mental Health (K24MH123371).

Indexed as

AbortionAdolescent girls and young womenHealth systemsHIV preventionStructural factors

Identifiers

PMID38292038
PMCPMC10825648
OpenAlexW4390861649

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.