Evidence map›Paper›PMID 31331394›Full record

ArticleBMC medical informatics and decision making2019

Connected diagnostics: linking digital rapid diagnostic tests and mobile health wallets to diagnose and treat brucellosis in Samburu, Kenya.

S Smith, R Koech, D Nzorubara, M Otieno, L Wong, G Bhat, E van den Bogaart, M Thuranira, D Onchonga, T F Rinke de Wit

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  10. Performance of a rapid antigen test for SARS-CoV-2 in Kenya.Diagnostic microbiology and infectious disease · 2022
    Article
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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

10 authors at 4 institutions in 3 countries.

S SmithPharmAccess Foundation, AHTC Tower 4C, Paasheuvelweg 25, 1105 BP, Amsterdam, The Netherlands. sherzelsmith@gmail.com.ORCID 0000-0001-5141-3866
R KoechPharmAccess Foundation Kenya, New Rehema House, Rhamta Road, Westlands, Nairobi, Kenya.
D NzorubaraPharmAccess Foundation Kenya, New Rehema House, Rhamta Road, Westlands, Nairobi, Kenya.
M OtienoPharmAccess Foundation Kenya, New Rehema House, Rhamta Road, Westlands, Nairobi, Kenya.
L WongFio Corporation, 111 Queen Street East Suite 500, Toronto, Ontario, M5C 1S2, Canada.
G BhatFio Corporation, 111 Queen Street East Suite 500, Toronto, Ontario, M5C 1S2, Canada.
E van den BogaartMondial Diagnostics, Meibergdreef 39, 1105 AZ, Amsterdam, The Netherlands.
M ThuraniraSamburu County Government, C77, P.O. Box 3 - 20600, Maralal, Samburu County, Kenya.
D OnchongaSamburu County Government, C77, P.O. Box 3 - 20600, Maralal, Samburu County, Kenya.
T F Rinke de WitPharmAccess Foundation, AHTC Tower 4C, Paasheuvelweg 25, 1105 BP, Amsterdam, The Netherlands.
Blackburn College · USFio Corporation (Canada) · CAPharmAccess Group · NLFuture Diagnostics (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite WHO guidelines for testing all suspected cases of malaria before initiating treatment, presumptive malaria treatment remains common practice among some clinicians and in certain low-resource settings the capacity for microscopic testing is limited. This can lead to misdiagnosis, resulting in increased morbidity due to lack of treatment for undetected conditions, increased healthcare costs, and potential for drug resistance. This is particularly an issue as multiple conditions share the similar etiologies to malaria, including brucellosis, a rare, under-detected zoonosis. Linking rapid diagnostic tests (RDTs) and digital test readers for the detection of febrile illnesses can mitigate this risk and improve case management of febrile illness.

methodsThis technical advance study examines Connected Diagnostics, an approach that combines the use of point-of-care RDTs for malaria and brucellosis, digitally interpreted by a rapid diagnostic test reader (Deki Reader) and connected to mobile payment mechanisms to facilitate the diagnosis and treatment of febrile illness in nomadic populations in Samburu County, Kenya. Consenting febrile patients were tested with RDTs and patient diagnosis and risk information were uploaded to a cloud database via the Deki Reader. Patients with positive diagnoses were provided digital vouchers for transportation to the clinic and treatment via their health wallet on their mobile phones.

resultsIn total, 288 patients were tested during outreach visits, with 9% testing positive for brucellosis and 0.6% testing positive for malaria. All patients, regardless of diagnosis were provided with a mobile health wallet on their cellular phones to facilitate their transport to the clinic, and for patients testing positive for brucellosis or malaria, the wallet funded their treatment. The use of the Deki Reader in addition to quality diagnostics at point of care also facilitated geographic mapping of patient diagnoses in relation to key risk areas for brucellosis transmission.

conclusionsThis study demonstrates that the Connected Dx approach can be effective even when addressing a remote, nomadic population and a rare disease, indicating that this approach to diagnosing, treatment, and payment for healthcare costs is feasible and can be scaled to address more prevalent diseases and conditions in more populous contexts.

Indexed as

TelemedicineAdolescentAdultAgedAged, 80 and overBrucellosisCell PhoneChildChild, PreschoolDiagnostic Tests, RoutineFeasibility StudiesFemaleGeography, MedicalHumansInfantKenyaBrucellosisDiagnosticsMalariamHealthMobile healthMobile health wallet

Identifiers

PMID31331394
PMCPMC6647279
OpenAlexW2963518650

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.