Evidence map›Paper›PMID 40181801›Full record

ArticleSouthern African journal of infectious diseases2025

Mortality trends and causes of death in a South African hospital complex pre- and during COVID-19.

Khanyisile M Tshabalala, Inger Fabris-Rotelli, Debashis Basu, Magriet Myburgh, Fareed Abdullah

Abstract read
In one paragraph

Article in Southern African journal of infectious diseases, 2025. 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

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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Khanyisile M TshabalalaDepartment of Public Health Medicine, School of Health Sciences, Steve Biko Academic Hospital, Tshwane, South Africa.ORCID https://orcid.org/0000-0002-6018-7212
Inger Fabris-RotelliDepartment of Statistics, Faculty of Statistics, University of Pretoria, Tshwane, South Africa.ORCID https://orcid.org/0000-0002-2192-4873
Debashis BasuDepartment of Public Health Medicine, School of Health Sciences, Steve Biko Academic Hospital, Tshwane, South Africa.ORCID https://orcid.org/0000-0002-3643-5984
Magriet MyburghDepartment of Health Information Management, Steve Biko Academic Hospital, Tshwane, South Africa.ORCID https://orcid.org/0009-0002-8174-9517
Fareed AbdullahDepartment of Infectious Diseases and Public Health Medicine, Faculty of Health Sciences, Steve Biko Academic Hospital, Tshwane, South Africa.ORCID https://orcid.org/0000-0002-1118-9430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Before coronavirus disease 2019 (COVID-19), global health was improving, with declining mortality trends. The pandemic disrupted this progress, increasing mortality in South Africa between April 2020 and March 2022. Pre-pandemic data establishes a baseline for assessing COVID-19's impact on all-cause mortality. Objectives: This study examines changes in hospital-based mortality trends in a Gauteng hospital complex from April 2018 to March 2022, addressing the scarcity of such studies during the COVID-19 era. Method: A retrospective review of 7815 deaths from April 2018 to March 2022 was conducted. Chi-squared tests were used to analyse deaths by age group and gender, with correlations reported. Results: Mortality rates rose from 3.2% in 2018-2019, peaked at 5.1% in 2020-2021, and declined to 4.2% in 2021-2022. Patients aged 15 years-64 years had the highest death rates, with an increase among those over 65. Male deaths exceeded female deaths, with the smallest difference observed in 2020-2021. Leading causes of death included diseases of the circulatory and respiratory systems, neoplasms, digestive system diseases, and infectious and parasitic diseases. Conclusion: The study highlights COVID-19's impact on mortality, showing variations by year, age, gender, and disease. Contribution: Excess non-COVID-19 deaths likely stemmed from disrupted healthcare services. These findings underscore the need for ongoing monitoring of hospital mortality to identify pandemic-related service disruptions and guide interventions to strengthen healthcare services, improve access to care, and enhance referral systems during unexpected disasters.

Indexed as

causes of deathCOVID-19in-hospital mortality trends

Identifiers

PMID40181801
PMCPMC11966701

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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.