SynthesisJournal of global health2023
The ability of non-physician health workers to identify chest indrawing to detect pneumonia in children below five years of age in low- and middle-income countries: A systematic review and meta-analysis.
Synthesis in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 4 citations in OpenAlex.
- A dataset of video recordings for respiratory rate counting from chest wall movements in children aged below five years.BMC research notes · 2026Article
- Outcome and management of 2-59-month-old Nigerian children with chest indrawing pneumonia at primary-level healthcare facilities: a prospective cohort study.Journal of global health · 2026Observational
- Effect of attaching ChARM automated respiratory rate counter on actual respiratory rate in children.Discover medicine · 2026Article
- Evaluating the performance of community health care providers in detecting fast breathing in children using a reference video expert panel in Bangladesh.Discover public health · 2026Article
- Evaluating the performance of an automated respiratory rate counter in detecting fast breathing pneumonia in children using a reference video expert panel.BMC digital health · 2025Article
- Modified Tal Score as a Predictor of Outcome in Bronchiolitis: A Cross-Sectional Study in Nepal.Cureus · 2024Article
- Multi-Modal Portable Respiratory Rate Monitoring Device for Childhood Pneumonia Detection.Micromachines · 2023Article
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Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Non-physician health workers play a vital role in diagnosing and treating pneumonia in children in low- and middle-income countries (LMICs). Chest indrawing is a key indicator for pneumonia diagnosis, signifying the severity of the disease. We conducted this systematic review to summarize the evidence on non-physician health workers' ability to identify chest indrawing to detect pneumonia in children below five years of age in LMICs. Methods: We comprehensively searched four electronic databases, including MEDLINE, Embase, Web of Science, and Scopus, and reference lists from the identified studies, from January 1, 1990, to January 20, 2022, with no language restrictions. Studies evaluating the performance of non-physician health workers in identifying chest indrawing compared to a reference standard were included. We used the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool to assess the methodological quality of the selected studies and conducted a meta-analysis following a bivariate random effects model to estimate the pooled sensitivity and specificity. Results: We identified nine studies covering 4468 children that reported the accuracy of a non-physician health worker in identifying chest indrawing. Most studies were conducted in the 1990s, based at health facility settings, with children aged 2-59 months, and with pediatricians/physicians as the reference standard. Using the QUADAS-2, we evaluated most studies as having a low risk of bias and a low concern regarding applicability in all domains. The median sensitivity, specificity, positive predictive value, and negative predictive value were 44%, 97%, 55%, and 95%, respectively. We selected five studies for the meta-analysis. The pooled sensitivity was 46% (95% confidence interval (CI) = 37-56), and the pooled specificity was 95% (95% CI = 91-97). Conclusions: We found the ability of non-physician health workers in LMICs in identifying chest indrawing pneumonia is relatively poor. Appropriate measures, such as targeted identification and training, supportive supervision, regular performance assessment, and feedback for those who have a poor ability to recognize chest indrawing, should be taken to improve the diagnosis of pneumonia in children. New studies are needed to assess the new generation of health workers. Registration: PROSPERO (CRD42022306954).
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