Evidence map›Paper›PMID 30087088›Full record

ArticleJMIR public health and surveillance2018

Bringing Real-Time Geospatial Precision to HIV Surveillance Through Smartphones: Feasibility Study.

Alain Placide Nsabimana, Bernard Uzabakiriho, Daniel M Kagabo, Jerome Nduwayo, Qinyouen Fu, Allison Eng, Joshua Hughes, Samuel K Sia

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

8 authors.

Alain Placide NsabimanaJunco Labs, Kigali, Rwanda.ORCID http://orcid.org/0000-0002-3303-9425
Bernard UzabakirihoJunco Labs, Kigali, Rwanda.ORCID http://orcid.org/0000-0003-1997-860X
Daniel M KagaboJunco Labs, Kigali, Rwanda.ORCID http://orcid.org/0000-0002-4372-0732
Jerome NduwayoJunco Labs, Kigali, Rwanda.ORCID http://orcid.org/0000-0002-7983-2488
Qinyouen FuJunco Labs, New York, NY, United States.ORCID http://orcid.org/0000-0003-0906-6308
Allison EngJunco Labs, New York, NY, United States.ORCID http://orcid.org/0000-0001-8729-5080
Joshua HughesJunco Labs, New York, NY, United States.ORCID http://orcid.org/0000-0002-8085-5847
Samuel K SiaJunco Labs, New York, NY, United States.ORCID http://orcid.org/0000-0003-0230-3542

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrecise measurements of HIV incidences at community level can help mount a more effective public health response, but the most reliable methods currently require labor-intensive population surveys. Novel mobile phone technologies are being tested for adherence to medical appointments and antiretroviral therapy, but using them to track HIV test results with automatically generated geospatial coordinates has not been widely tested.

objectiveWe customized a portable reader for interpreting the results of HIV lateral flow tests and developed a mobile phone app to track HIV test results in urban and rural locations in Rwanda. The objective was to assess the feasibility of this technology to collect front line HIV test results in real time and with geospatial context to help measure HIV incidences and improve epidemiological surveillance.

methodsTwenty health care workers used the technology to track the test results of 2190 patients across 3 hospital sites (2 urban sites in Kigali and a rural site in the Western Province of Rwanda). Mobile phones for less than US $70 each were used. The mobile phone app to record HIV test results could take place without internet connectivity with uploading of results to the cloud taking place later with internet.

resultsA total of 91.51% (2004/2190) of HIV test results could be tracked in real time on an online dashboard with geographical resolution down to street level. Out of the 20 health care workers, 14 (70%) would recommend the lateral flow reader, and 100% would recommend the mobile phone app.

conclusionsSmartphones have the potential to simplify the input of HIV test results with geospatial context and in real time to improve public health surveillance of HIV.

Indexed as

geospatial dataHIV surveillancemobile phonessmartphones

Identifiers

PMID30087088
PMCPMC6103996

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.