Evidence map›Paper›PMID 39515861›Full record

ArticleBMJ open2024

Barriers to and enablers of the early diagnosis of breast cancer among women from ethnic minority backgrounds in the UK: protocol for a qualitative evidence synthesis.

Priya Sajjad, S Shepperd, Shoba Dawson, Bep Dhaliwal, Nia Roberts, Toral Gathani

Abstract read
In one paragraph

Article in BMJ open, 2024. 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

6 authors.

Priya SajjadCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
S ShepperdNuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-6384-8322
Shoba DawsonSheffield Centre for Health and Related Research, University of Sheffield, Sheffield, UK.
Bep DhaliwalPatient, Oxford, UK.
Nia RobertsBodleian Health Care Libraries, University of Oxford, UK, Oxford, UK.
Toral GathaniCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, OXFORD, UK toral.gathani@ndph.ox.ac.uk.ORCID http://orcid.org/0000-0003-2837-1535

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreast cancer is the most commonly diagnosed cancer in women of all ethnic groups in the UK. The largest single ethnic groups in the UK are white, Indian, Pakistani, black African and black Caribbean. Previous studies have shown that women from ethnic minority groups are more likely to be diagnosed with more advanced disease at presentation compared with women from white backgrounds which is associated with poorer outcomes. Understanding the factors that prevent or enable women from ethnic minority backgrounds to have an early diagnosis of breast cancer is essential to inform the development of interventions or policies that seek to promote early diagnosis of breast cancer in these groups. This qualitative evidence synthesis will identify and synthesise what is known about the topic. METHODS AND ANALYSIS: The proposed review will synthesise studies that report on the experiences of women in the UK from the ethnic groups of interest in the early diagnosis of breast cancer. A search strategy was developed by two researchers and an information specialist. The Medline (OvidSP), Embase (OvidSP), CINAHL (EBSCOHost), PsycINFO (OvidSP) and Cochrane Library (via Wiley) databases will be searched for published articles. Relevant policy documents and reports will be searched for by browsing cancer-related organisational websites and using Google Advanced Search, and dissertations and theses using ProQuest. Studies will be included if they use qualitative methodologies and are about the early diagnosis of breast cancer in UK women aged 18 years and over from the ethnic minority groups of interest. Studies that use quantitative methodologies or collect data using qualitative methods but analysed quantitatively (eg, open-ended survey questions where free-text responses are analysed using descriptive statistics) will be excluded. To maximise the inclusion of suitable studies, the search will not be limited by language and start from database inception. Data will be managed using Covidence and managed for analysis using NVivo. An assessment of the methodological limitations of each study will be performed using the Critical Skills Appraisal Programme tool, and the PRO EDI framework will be used to assess equality, diversity and inclusion in the synthesis. The data will be analysed thematically based on, but not limited to, the health belief model, using a best-fit framework. The confidence in the final synthesised findings will be assessed using the Grading of Recommendations Assessment, Development, and Evaluation, Confidence in the Evidence for Reviews of Qualitative research tool. ETHICS AND DISSEMINATION: Ethical approval is not required as this is a systematic review of published or publicly available qualitative findings. Results will be published in a peer-reviewed scientific journal, publicised at relevant conferences and on social media. The results will provide comprehensive information on the barriers to early diagnosis of breast cancer in ethnic minority groups, which will potentially inform breast cancer care policies to improve access and delivery of health services and influence the design of future interventional and qualitative studies. PROSPERO REGISTRATION NUMBER: CRD42024579776.

Indexed as

Breast NeoplasmsEarly Detection of CancerResearch DesignEthnic and Racial MinoritiesFemaleHealth Services AccessibilityHumansQualitative ResearchUnited KingdomBreast tumoursHealth EquityQUALITATIVE RESEARCH

Identifiers

PMID39515861
PMCPMC11551988

What OpenQuestion holds

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Registered trials

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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.