Evidence map›Paper›PMID 30709389›Full record

ArticleBMC pediatrics2019

Performance characteristics of a local triage tool and internationally validated tools among under-fives presenting to an urban emergency department in Tanzania.

Nafsa R Marombwa, Hendry R Sawe, Upendo George, Said S Kilindimo, Nanyori J Lucumay, Kilalo M Mjema, Juma A Mfinanga, Ellen J Weber

Abstract readComparative Study
In one paragraph

Article in BMC pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
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

8 authors.

Nafsa R MarombwaEmergency Medicine Department, Muhimbili University of Health and Allied Science, P.O. Box 65001, Dar Es Salaam-Tanzania Dar es Salaam, Tanzania.
Hendry R SaweEmergency Medicine Department, Muhimbili University of Health and Allied Science, P.O. Box 65001, Dar Es Salaam-Tanzania Dar es Salaam, Tanzania. Hendry_sawe@yahoo.com.ORCID 0000-0002-0395-5385
Upendo GeorgeEmergency Medicine Department, Muhimbili National Hospital, Dar es Salaam, Tanzania.
Said S KilindimoEmergency Medicine Department, Muhimbili University of Health and Allied Science, P.O. Box 65001, Dar Es Salaam-Tanzania Dar es Salaam, Tanzania.
Nanyori J LucumayEmergency Medicine Department, Muhimbili University of Health and Allied Science, P.O. Box 65001, Dar Es Salaam-Tanzania Dar es Salaam, Tanzania.
Kilalo M MjemaEmergency Medicine Department, Muhimbili University of Health and Allied Science, P.O. Box 65001, Dar Es Salaam-Tanzania Dar es Salaam, Tanzania.
Juma A MfinangaEmergency Medicine Department, Muhimbili National Hospital, Dar es Salaam, Tanzania.
Ellen J WeberDepartment of Emergency Medicine, University of California, San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA number of region-specific validated triage systems exist; however very little is known about their performance in resource limited settings. We compare the local triage tool and internationally validated tools among under-fives presenting to an urban emergency department in Tanzania. METHODOLOGY: Prospective descriptive study of consecutive under-fives seen at Muhimbili National Hospital (MNH), ED between November 2017 to April 2018. Patients were triaged according to Local Triage System (LTS), and the information collected were used to assign acuities in the other triage scales: Canadian Triage and Acuity Scale (CTAS), Australasian Triage Scale (ATS), Manchester Triage Scale (MTS) and South African Triage Scale (SATS). Patients were then followed up to determine disposition and 24 h outcome. Sensitivity, specificity, positive and negative predictive values for admission and mortality were then calculated.

resultsA total of 384 paediatric patients were enrolled, their median age was 17 months (IQR 7-36 months). Using LTS, 67(17.4%) patients were triaged in level one, 291(75.8%) level 2 and 26 (6.8%) in level 3 categories. Overall admission rate was 59.6% and at 24 h there were five deaths (1.3%). Using Level 1 in LTS, and Levels 1 and 2 in other systems, sensitivity and specificity for admission for all triage scales ranged between 27.1-28.4% and 95.4-98% respectively, (PPV 90.3-95.3%, NPV 47.1-47.4%). Sensitivity for mortality was 80% for LTS, and 100% for the other scales, while specificity was low, yielding a PPV for all scales between 6.9 and 8%.

conclusionAll triage scales showed poor ability to predict need for admission, however all triage scales except LTS predicted mortality. The test characteristics for the other scales were similar. Future studies should focus on determining the reliability and validity of each of these triage tools in our setting.

Indexed as

Child, PreschoolEmergency Service, HospitalFemaleHospitals, UrbanHumansInfantInternationalityMaleProspective StudiesSensitivity and SpecificityTanzaniaTriageAfricaEmergency departmentTanzaniaTriageTriage scales

Identifiers

PMID30709389
PMCPMC6357459

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.