Evidence map›Paper›PMID 34031109›Full record

Observational studyBMJ open2021

Correct diagnosis of childhood pneumonia in public facilities in Tanzania: a randomised comparison of diagnostic methods.

Taylor Salisbury, Alice Redfern, Erin K Fletcher, Jean Arkedis, Felix Bundala, Alison Connor, Ntuli A Kapologwe, Julius Massaga, Naibu Mkongwa, Balowa Musa and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

11 authors at 5 institutions in 2 countries.

Taylor SalisburyResults for Development Institute, Washington, DC, USA.
Alice RedfernIDinsight, Nairobi, Kenya.
Erin K FletcherResults for Development Institute, Washington, DC, USA efletcher@r4d.org.ORCID 0000-0002-2804-6890
Jean ArkedisResults for Development Institute, Washington, DC, USA.
Felix BundalaReproductive and Child Health Section, Ministry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania.
Alison ConnorIDinsight, Nairobi, Kenya.
Ntuli A KapologweSocial Welfare and Nutrition Services, President's Office Regional Administration and Local Government, Dodoma, Tanzania.
Julius MassagaNational Institute for Medical Research, Dar es Salaam, Tanzania.
Naibu MkongwaReproductive and Child Health Section, Ministry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania.
Balowa MusaDepartment of Radiology and Imaging, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Dar es Salaam, Tanzania.
Cammie LeeResults for Development Institute, Washington, DC, USA.
Results for Development Institute · USMinistry of Health, Community Development, Gender, Elderly and Children · TZMinistry of Health and Social Welfare · TZMuhimbili University of Health and Allied Sciences · TZNational Institute for Medical Research · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study compares two methods for clinical diagnosis of childhood pneumonia that aim to estimate rates of underdiagnosis and overdiagnosis of childhood pneumonia by examining the sensitivity of Integrated Management of Childhood Diseases implementation in routine care against lung ultrasound (LUS) diagnosis.

settingWe conducted observations in 83 public health facilities (dispensaries, health centres and district hospitals) in Pwani, Dodoma and Tabora, Tanzania between October and December 2017.

methodsWe used a novel method to estimate rates of underdiagnosis and overdiagnosis of childhood pneumonia by comparing directly observed public provider diagnoses to the results of diagnoses made by trained clinicians using Mindray DP-10 ultrasound machines. We perform multivariate analysis to identify confounding effects and robustness checks to bound the result. We also explore a number of observable characteristics correlated with higher rates of agreement between provider diagnoses and ultrasound diagnoses.

resultsWe observed 93 providers conducting exams on patients aged 2 months-5 years who presented respiratory symptoms or were given a respiratory diagnosis by the provider. Of these 957 patients, 110 were excluded from analysis resulting in a final sample of 847.17.6% of cases identified as pneumonia via LUS examinations in our sample were diagnosed as pneumonia by providers, suggesting that a significant number of pneumonia cases for which care is sought in the public sector go undiagnosed. Provider knowledge of breath counting and years of experience are positively correlated with higher agreement. While clinical examination rates are not statistically correlated with agreement, it is notable that providers conducted a clinical examination on only about one-third of patients in the sample.

conclusionOur results suggest that provider training and knowledge of clinical examination protocols for pneumonia diagnosis are predictive of correct diagnosis of pneumonia and should be further explored in future research as a tool for improving quality of care.

Indexed as

PneumoniaPublic FacilitiesHumansLungTanzaniaUltrasonographycommunity child healthhealth policypublic health

Identifiers

PMID34031109
PMCPMC8149435
OpenAlexW3165264722

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.