Evidence map›Paper›PMID 38832391›Full record

ArticleSouth African family practice : official journal of the South African Academy of Family Practice/Primary Care2024

The utility of computed tomography at a district-level public hospital in Cape Town.

Ridwaan Osman, Amy Fouten, Nihaad Jacobs, Fawwaz Cader, Francois Ehlers, Nazrana Zalgaonkir, Elaine Erasmus, Daniël Van Hoving

Abstract read
In one paragraph

Article in South African family practice : official journal of the South African Academy of Family Practice/Primary Care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Observational
  2. 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

8 authors.

Ridwaan OsmanDepartment of Health, Faculty of Emergency Medicine, Khayelitsha District Hospital, Cape Town. osman.ridwaan@gmail.com.
Amy Fouten
Nihaad Jacobs
Fawwaz Cader
Francois Ehlers
Nazrana Zalgaonkir
Elaine Erasmus
Daniël Van Hoving

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputed tomography (CT) has become an invaluable aid in medical diagnostic workup, and its global usage has been shown to be consistently increasing across all departments. While typically located in regional or central hospitals in South Africa, its recent introduction at the district level has many foreseeable benefits. We evaluated its utility at one of the first district hospitals in the Western Cape to obtain a CT suite.

objectivesThis study aimed to describe the type of CT scans ordered, the clinical indications, the prevalence of significant abnormal findings and the agreement between the clinical opinion and radiological diagnosis.

methodsA descriptive cross-sectional study was conducted over a 1-year period at Khayelitsha Hospital, an entry-level hospital just outside of Cape Town.

resultsA total of 3242 CT scans were analysed. The mean age of patients was 46 years; 51.4% were males. A mean of 13 scans were performed per working day. The head and neck area were the most scanned region (n = 1841, 52.3%). Predominantly requested by the Emergency Centre (n = 1382, 42.6%), indications were mainly for general medical conditions workup (n = 2151, 66.4%). Most scans showed abnormalities (n = 2710, 83.6%), with 2115 (65.2%) considered relevant ('positive yield'). Clinical and CT diagnoses agreed in 1610 (49.7%) cases.

conclusionComputed tomography usage at the district level demonstrated positive yield rates comparable to that of tertiary centres. This implies an appropriate utilisation of the service with a potential decrease in the burden on the referral centre.Contribution: Computed tomography scanners at district-level facilities are appropriately utilised and can provide greater access to care while potentially decreasing the burden on referral centres.

Indexed as

Hospitals, DistrictHospitals, PublicTomography, X-Ray ComputedAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSouth AfricaYoung Adultcomputed tomographydistrict hospitalemergency medicinefamily medicineprimary healthcareradiologyyield

Identifiers

PMID38832391
PMCPMC11151385

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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.