Evidence map›Paper›PMID 30117196›Full record

ArticleMedical anthropology quarterly2018

When Diabetes Confronts HIV: Biological Sub-citizenship at a Public Hospital in Nairobi, Kenya.

Edna Bosire, Emily Mendenhall, Gregory Barnabas Omondi, David Ndetei

Open access · greenAbstract read
In one paragraph

Article in Medical anthropology quarterly, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
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    Review
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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

4 authors at 4 institutions in 3 countries.

Edna BosireFaculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Emily MendenhallScience, Technology, and International Affairs Program, Walsh School of Foreign Service, Georgetown University, Washington, DC, USA.
Gregory Barnabas OmondiKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
David NdeteiAfrica Mental Health Foundation, Nairobi, Kenya.
Georgetown University · USKenya Medical Research Institute · KEUniversity of Nairobi · KEUniversity of the Witwatersrand · ZA

Funding

Wellcome Trust 203077
6 · The paper itself

Abstract

This article investigates how international donor policies cultivate a form of biological sub-citizenship for those with diabetes in Kenya. We interviewed 100 patients at a public hospital clinic in Nairobi, half with a diabetes diagnosis. We focus on three vignettes that illustrate how our study participants differentially perceived and experienced living with and seeking treatment and care for diabetes compared to other conditions, with a special focus on HIV. We argue that biological sub-citizenship, where those with HIV have consistent and comprehensive free medical care and those with diabetes must pay out-of-pocket for testing and treatment, impedes diabetes testing and treatment. Once diagnosed, many are then systematically excluded from the health care system due to their own inability to pay. We argue that the systematic exclusion from international donor money creates a form of biological sub-citizenship based on neoliberal economic policies that undermine other public health protections, such as universal primary health care.

Indexed as

Diabetes MellitusHIV InfectionsAdultAnthropology, MedicalFemaleHealth Services AccessibilityHospitals, PublicHumansKenyaMaleMiddle Agedbiological sub-citizenshipdiabetesHIVKenya

Identifiers

PMID30117196
PMCPMC7611264
OpenAlexW2887494082

What OpenQuestion holds

Textmetadata
LicenceTDM
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.