Evidence map›Paper›PMID 27439397›Full record

ArticleBMC medical informatics and decision making2016

Surveillance of HIV assisted partner services using routine health information systems in Kenya.

Peter Cherutich, Matthew Golden, Bourke Betz, Beatrice Wamuti, Anne Ng'ang'a, Peter Maingi, Paul Macharia, Betsy Sambai, Felix Abuna, David Bukusi and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. 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
1.1field-weighted citation impact, top 22% 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. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

12 authors at 4 institutions in 2 countries.

Peter CherutichMinistry of Health, Nairobi, Kenya. pcheru@uw.edu.
Matthew GoldenUniversity of Washington, Seattle, USA.
Bourke BetzUniversity of Washington, Seattle, USA.
Beatrice WamutiKenyatta National Hospital, Nairobi, Kenya.
Anne Ng'ang'aMinistry of Health, Nairobi, Kenya.
Peter MaingiKenyatta National Hospital, Nairobi, Kenya.
Paul MachariaMinistry of Health, Nairobi, Kenya.
Betsy SambaiKenyatta National Hospital, Nairobi, Kenya.
Felix AbunaKenyatta National Hospital, Nairobi, Kenya.
David BukusiKenyatta National Hospital, Nairobi, Kenya.
Mathew DunbarUniversity of Washington, Seattle, USA.
Carey FarquharUniversity of Washington, Seattle, USA.
Kenyatta National Hospital · KEMinistry of Health · KESeattle University · USUniversity of Washington · US

Funding

Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI CURRAN, SARA R. · 2002 to 2016
$9.3M
Promoting Diversity, Equity, and Inclusivity in Research Training to Optimize HIV Prevention and TreatmentD43TW009580 · FIC · UNIVERSITY OF WASHINGTON · PI CAREY FARQUHAR, John Kinuthia · 2013 to 2026
$4.8M
Assisted Partner Notification to Augment HIV Treatment and Prevention in KenyaR01AI099974 · NIAID · UNIVERSITY OF WASHINGTON · PI FARQUHAR, CAREY · 2012 to 2014
$2.6M
HIV-1 and Protective Immunity against Common Childhood PathogensK24AI087399 · NIAID · UNIVERSITY OF WASHINGTON · PI FARQUHAR, CAREY · 2010 to 2014
$647k
FIC NIH HHS D43 TW009580NIAID NIH HHS K24 AI087399NIAID NIH HHS R01 AI099974
6 · The paper itself

Abstract

backgroundThe utilization of routine health information systems (HIS) for surveillance of assisted partner services (aPS) for HIV in sub-Saharan is sub-optimal, in part due to poor data quality and limited use of information technology. Consequently, little is known about coverage, scope and quality of HIV aPS. Yet, affordable electronic data tools, software and data transmission infrastructure are now widely accessible in sub-Saharan Africa.

methodsWe designed and implemented a cased-based surveillance system using the HIV testing platform in 18 health facilities in Kenya. The components of this system included an electronic HIV Testing and Counseling (HTC) intake form, data transmission on the Global Systems for Mobile Communication (GSM), and data collection using the Open Data Kit (ODK) platform. We defined rates of new HIV diagnoses, and characterized HIV-infected cases. We also determined the proportion of clients who reported testing for HIV because a) they were notified by a sexual partner b) they were notified by a health provider, or c) they were informed of exposure by another other source. Data collection times were evaluated.

resultsAmong 4351 clients, HIV prevalence was 14.2 %, ranging from 4.4-25.4 % across facilities. Regardless of other reasons for testing, only 107 (2.5 %) of all participants reported testing after being notified by a health provider or sexual partner. A similar proportion, 1.8 % (79 of 4351), reported partner notification as the only reason for seeking an HIV test. Among 79 clients who reported HIV partner services as the reason for testing, the majority (78.5 %), were notified by their sexual partners. The majority (52.8 %) of HIV-infected patients initiated their HIV testing, and 57.2 % tested in a Voluntary Counseling and Testing (VCT) site co-located in a health facility. Median time for data capture was 4 min (IQR: 3-15), with a longer duration for HIV-infected participants, and there was no reported data loss.

conclusionaPS surveillance using new technologies is feasible, and could be readily expanded into HIV registries in Kenya and other sub-Saharan countries. Partner services are under-utilized in Kenya but further documentation of coverage and implementation gaps for HIV and aPS services is required.

Indexed as

Sexual PartnersAdultContact TracingEpidemiological MonitoringFemaleHealth Information SystemsHIV InfectionsHumansKenyaMaleYoung AdultAssisted partner servicesHealth informationHIVKenyaOpen data kitSurveillance

Identifiers

PMID27439397
PMCPMC4955244
OpenAlexW2504235001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.