Evidence map›Paper›PMID 33588848›Full record

Observational studyBMC health services research2021

Clinical diagnosis in paediatric patients at urban primary health care facilities in southern Malawi: a longitudinal observational study.

Mtisunge Joshua Gondwe, Marc Y R Henrion, Thomasena O'Byrne, Clemens Masesa, Norman Lufesi, Queen Dube, Maureen D Majamanda, Martha Makwero, David G Lalloo, Nicola Desmond

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 12 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

10 authors at 6 institutions in 3 countries.

Mtisunge Joshua GondweBehaviour and Health group, Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi. mtisungejoshua@gmail.com.ORCID http://orcid.org/0000-0003-2091-1488
Marc Y R HenrionDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
Thomasena O'ByrneTrinity College, Dublin, Ireland.
Clemens MasesaData Support Unit, Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.
Norman LufesiDepartment of Clinical services, Ministry of Health, Lilongwe, Malawi.
Queen DubeDepartment of paediatrics, Queen Elizabeth Central Hospital, Blantyre, Malawi.
Maureen D MajamandaDepartment of Medical and Surgical Nursing, University of Malawi, Kamuzu College of Nursing, Blantyre, Malawi.
Martha MakweroDepartment of Family Medicine, University of Malawi, College of Medicine, Blantyre, Malawi.
David G LallooDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
Nicola DesmondBehaviour and Health group, Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.
University of Liverpool · GBUniversity of Malawi · MWLiverpool School of Tropical Medicine · GBMinistry of Health · MWQueen Elizabeth Central Hospital · MWTrinity College Dublin · IE

Funding

Meningitis Research Foundation MRF 453Wellcome Trust
6 · The paper itself

Abstract

backgroundDespite health centres being the first point of contact of care, there are challenges faced in providing care to patients at this level. In Malawi, service provision barriers reported at this level included long waiting times, high numbers of patients and erratic consultation systems which lead to mis-diagnosis and delayed referrals. Proper case management at this level of care is critical to prevent severe disease and deaths in children. We aimed to adopt Emergency, Triage, Assessment and Treatment algorithm (ETAT) to improve ability to identify severe illness in children at primary health centre (PHC) through comparison with secondary level diagnoses.

methodsWe implemented ETAT mobile Health (mHealth) at eight urban PHCs in Blantyre, Malawi between April 2017 and September 2018. Health workers and support staff were trained in mHealth ETAT. Stabilisation rooms were established and equipped with emergency equipment. All PHCs used an electronic tracking system to triage and track sick children on referral to secondary care, facilitated by a unique barcode. Support staff at PHC triaged sick children using ETAT Emergency (E), Priority (P) and Queue (Q) symptoms and clinician gave clinical diagnosis. The secondary level diagnosis was considered as a gold standard. We used statistical computing software R (v3.5.1) and used exact 95% binomial confidence intervals when estimating diagnosis agreement proportions.

resultsEight-five percentage of all cases where assigned to E (9.0%) and P (75.5%) groups. Pneumonia was the most common PHC level diagnosis across all three triage groups (E, P, Q). The PHC level diagnosis of trauma was the most commonly confirmed diagnosis at secondary level facility (85.0%), while a PHC diagnosis of pneumonia was least likely to be confirmed at secondary level (39.6%). The secondary level diagnosis least likely to have been identified at PHC level was bronchiolitis 3 (5.2%). The majority of bronchiolitis cases (n = 50; (86.2%) were classified as pneumonia at the PHC level facility.

conclusionsImplementing a sustainable and consistent ETAT approach with stabilisation and treatment capacity at PHC level reinforce staff capacity to diagnose and has the potential to reduce other health system costs through fewer, timely and appropriate referrals.

Indexed as

Emergency Service, HospitalPrimary Health CareTriageAmbulatory Care FacilitiesChildChild, PreschoolDiagnosisFemaleHumansInfantInfant, NewbornMalawiMaleUrban PopulationDiagnosisEmergencyETATmHealthPaediatricsPrimary health CentreStabilisationTriage

Identifiers

PMID33588848
PMCPMC7885577
OpenAlexW3130195510

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.