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

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2016
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Title
Surveillance of HIV assisted partner services using routine health information systems in Kenya
Published in
BMC Medical Informatics and Decision Making, July 2016
DOI 10.1186/s12911-016-0337-9
Pubmed ID
Authors

Peter Cherutich, Matthew Golden, Bourke Betz, Beatrice Wamuti, Anne Ng’ang’a, Peter Maingi, Paul Macharia, Betsy Sambai, Felix Abuna, David Bukusi, Mathew Dunbar, Carey Farquhar

Abstract

The 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. We 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. Among 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. aPS 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 25%
Student > Ph. D. Student 16 14%
Researcher 14 13%
Student > Bachelor 7 6%
Student > Postgraduate 7 6%
Other 12 11%
Unknown 28 25%
Readers by discipline Count As %
Nursing and Health Professions 24 21%
Medicine and Dentistry 16 14%
Social Sciences 11 10%
Computer Science 7 6%
Agricultural and Biological Sciences 5 4%
Other 17 15%
Unknown 32 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 August 2017.
All research outputs
#18,567,744
of 22,997,544 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,582
of 2,006 outputs
Outputs of similar age
#280,614
of 364,429 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#32
of 41 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,006 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.