Evidence map›Paper›PMID 27066829›Full record

ArticleMalaria journal2016

It could be viral but you don't know, you have not diagnosed it: health worker challenges in managing non-malaria paediatric fevers in the low transmission area of Mbarara District, Uganda.

Emily White Johansson, Freddy Eric Kitutu, Chrispus Mayora, Phyllis Awor, Stefan Swartling Peterson, Henry Wamani, Helena Hildenwall

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 34 citations in OpenAlex.

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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

7 authors at 4 institutions in 4 countries.

Emily White JohanssonDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden. emily.johansson@kbh.uu.se.
Freddy Eric KitutuDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Chrispus MayoraMakerere University School of Public Health, College of Health Sciences, Kampala, Uganda.
Phyllis AworMakerere University School of Public Health, College of Health Sciences, Kampala, Uganda.
Stefan Swartling PetersonDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Henry WamaniMakerere University School of Public Health, College of Health Sciences, Kampala, Uganda.
Helena HildenwallKarolinska Institute, Global Health-Health Systems and Policy Research Group, Stockholm, Sweden.
Makerere University · UGUppsala University · SEKarolinska Institutet · SEUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2012, Uganda initiated nationwide deployment of malaria rapid diagnostic tests (RDT) as recommended by national guidelines. Yet growing concerns about RDT non-compliance in various settings have spurred calls to deploy RDT as part of enhanced support packages. An understanding of how health workers currently manage non-malaria fevers, particularly for children, and challenges faced in this work should also inform efforts.

methodsA qualitative study was conducted in the low transmission area of Mbarara District (Uganda). In-depth interviews with 20 health workers at lower level clinics focused on RDT perceptions, strategies to differentiate non-malaria paediatric fevers, influences on clinical decisions, desires for additional diagnostics, and any challenges in this work. Seven focus group discussions were conducted with caregivers of children under 5 years of age in facility catchment areas to elucidate their RDT perceptions, understandings of non-malaria paediatric fevers and treatment preferences. Data were extracted into meaning units to inform codes and themes in order to describe response patterns using a latent content analysis approach.

resultsDifferential diagnosis strategies included studying fever patterns, taking histories, assessing symptoms, and analysing other factors such as a child's age or home environment. If no alternative cause was found, malaria treatment was reportedly often prescribed despite a negative result. Other reasons for malaria over-treatment stemmed from RDT perceptions, system constraints and provider-client interactions. RDT perceptions included mistrust driven largely by expectations of false negative results due to low parasite/antigen loads, previous anti-malarial treatment or test detection of only one species. System constraints included poor referral systems, working alone without opportunity to confer on difficult cases, and lacking skills and/or tools for differential diagnosis. Provider-client interactions included reported caregiver RDT mistrust, demand for certain drugs and desire to know the 'exact' disease cause if not malaria. Many health workers expressed uncertainty about how to manage non-malaria paediatric fevers, feared doing wrong and patient death, worried caregivers would lose trust, or felt unsatisfied without a clear diagnosis.

conclusionsEnhanced support is needed to improve RDT adoption at lower level clinics that focuses on empowering providers to successfully manage non-severe, non-malaria paediatric fevers without referral. This includes building trust in negative results, reinforcing integrated care initiatives (e.g., integrated management of childhood illness) and fostering communities of practice according to the diffusion of innovations theory.

Indexed as

Health Services ResearchAdultChild, PreschoolDiagnostic Tests, RoutineFemaleFever of Unknown OriginHumansInfantInfant, NewbornInterviews as TopicMaleMiddle AgedUgandaYoung AdultChild healthDiagnosisFeverMalariaPoint-of-care diagnosticsQualitativeUganda

Identifiers

PMID27066829
PMCPMC4827217
OpenAlexW2330751868

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.