Evidence map›Paper›PMID 42102126›Full record

ArticlePLOS global public health2026

Health facility preparedness for early detection of symptomatic cancer in Southern Africa: A multi-centre cross-sectional study.

Tasleem Ras, Sarah Day, Bothwell Guzha, Valerie A Sills, Suzanne E Scott, Fiona M Walter, Jennifer Moodley

Abstract read
In one paragraph

Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Tasleem RasDepartment of Family, Community and Emergency Care, Faculty of Health Sciences, University of Cape Town, South Africa.ORCID https://orcid.org/0000-0001-5411-9363
Sarah DayCancer Research Initiative, Faculty of Health Sciences, University of Cape Town, South Africa.
Bothwell GuzhaDepartment of Obstetrics and Gynaecology, Faculty of Medicine & Health Sciences, University of Zimbabwe.
Valerie A SillsWolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
Suzanne E ScottWolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
Fiona M WalterWolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7191-6476
Jennifer MoodleyCancer Research Initiative, Faculty of Health Sciences, University of Cape Town, South Africa.ORCID https://orcid.org/0000-0002-9398-5202

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection and diagnosis of cancer in African contexts is challenging. Health services should identify people with symptoms suggestive of cancer, refer timeously, and implement diagnostic processes efficiently. This requires the resources and infrastructure to provide these services. This study, the first in Southern Africa, reports on the availability of these services across referral pathways in four provinces of two Southern African countries, South Africa and Zimbabwe. As part of the African Awareness of Cancer and Early Diagnosis (AWACAN-ED) programme, we conducted a quantitative cross-sectional study, from February to September 2023 at primary care (PC), secondary and tertiary (ST) level public sector health facilities. PC's role is to identify and refer patients, while the definitive diagnosis mostly occurs at ST level. Data were collected on the availability of staff, infrastructure, diagnostic services, referral pathways and community engagement, and analysed descriptively. A total of thirty-four (N = 34) facilities were included. Twenty-two (n = 22) were PC facilities, serving a population of 1,068,177, with a nurse-to-1000-person ratio of 0.46, and doctor-to-1000-person ratio of 0.04. Twelve (n = 12) ST facilities were included, serving a population of 18,750,387, with a nurse-to-1000-person ratio of 0.42, and doctor-to-1000-person ratio of to 0.06. PC and ST facilities differed in availability of adequate communication infrastructure (40% vs 42%); patient transport systems (50% vs 100%); cervical smears/visual inspection (77% vs 100%) and colorectal clinical assessment (9% vs 58%). Mammography was not available at any Zimbabwean facilities. There was low availability of clinical protocols in primary care for cervical (30%) and breast (9%) cancer, and none for colorectal cancer. Community engagement activities focused on breast and cervical cancer. This study identifies areas for improving early cancer diagnosis and provides a baseline for quality improvement interventions in facility infrastructure and referral pathways.

Identifiers

PMID42102126
PMCPMC13155687

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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.