Evidence map›Paper›PMID 34229634›Full record

SynthesisBMC public health2021

Health system factors that influence diagnostic and treatment intervals in women with breast cancer in sub-Saharan Africa: a systematic review.

Gloria Gbenonsi, Mouna Boucham, Zakaria Belrhiti, Chakib Nejjari, Inge Huybrechts, Mohamed Khalis

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 8 pooled it
2.6field-weighted citation impact, top 8% 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

40 citing papers in PubMed, 8 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  5. Barriers to Radiotherapy Access in Sub-Saharan Africa for Patients with Cancer: A Systematic Review.International journal of environmental research and public health · 2024
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  19. Applying a Novel Measure of Community-Level Healthcare Access to Assess Breast Cancer Care Timeliness.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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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

6 authors at 3 institutions in 2 countries.

Gloria GbenonsiInternational School of Public Health, Mohammed VI University of Health Sciences, Casablanca, Morocco. ygbenonsi@um6ss.ma.ORCID 0000-0002-1327-4057
Mouna BouchamInternational School of Public Health, Mohammed VI University of Health Sciences, Casablanca, Morocco.
Zakaria BelrhitiNational School of Public Health, Rabat, Morocco.
Chakib NejjariInternational School of Public Health, Mohammed VI University of Health Sciences, Casablanca, Morocco.
Inge HuybrechtsInternational Agency for Research on Cancer, Lyon, France.
Mohamed KhalisInternational School of Public Health, Mohammed VI University of Health Sciences, Casablanca, Morocco.
Université Mohammed VI des Sciences et de la Santé · MACentre international de recherche sur le cancer · FRNational School of Architecture · MA

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundBreast cancer patients in sub-Saharan Africa experience long time intervals between their first presentation to a health care facility and the start of cancer treatment. The role of the health system in the increasing treatment time intervals has not been widely investigated. This review aimed to identify existing information on health system factors that influence diagnostic and treatment intervals in women with breast cancer in sub-Saharan Africa to contribute to the reorientation of health policies in the region.

methodsPubMed, ScienceDirect, African Journals Online, Mendeley, ResearchGate and Google Scholar were searched to identify relevant studies published between 2010 and July 2020. We performed a qualitative synthesis in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Related health system factors were extracted and classified according to the World Health Organization's six health system building blocks. The quality of qualitative and quantitative studies was assessed by using the Critical Appraisal Skills Program Quality-Assessment Tool and the National Institute of Health Quality Assessment Tool, respectively. In addition, we used the Confidence in the Evidence from Reviews of Qualitative Research tool to assess the evidence for each qualitative finding.

resultsFrom 14,184 identified studies, this systematic review included 28 articles. We identified a total of 36 barriers and 8 facilitators that may influence diagnostic and treatment intervals in women with breast cancer. The principal health system factors identified were mainly related to human resources and service delivery, particularly difficulty accessing health care, diagnostic errors, poor management, and treatment cost.

conclusionThe present review shows that diagnostic and treatment intervals among women with breast cancer in sub-Saharan Africa are influenced by many related health system factors. Policy makers in sub-Saharan Africa need to tackle the financial accessibility to breast cancer treatment by adequate universal health coverage policies and reinforce the clinical competencies for health workers to ensure timely diagnosis and appropriate care for women with breast cancer in this region.

Indexed as

Breast NeoplasmsAfrica South of the SaharaFemaleHealth FacilitiesHealth Services AccessibilityHumansMedical AssistanceBreast cancerDiagnostic intervalHealth systemSub-Saharan AfricaTreatment interval

Identifiers

PMID34229634
PMCPMC8259007
OpenAlexW3179509576

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.