Evidence map›Paper›PMID 36587198›Full record

SynthesisBMC health services research2022

Health system barriers influencing timely breast cancer diagnosis and treatment among women in low and middle-income Asian countries: evidence from a mixed-methods systematic review.

Agani Afaya, Sheena Ramazanu, Obasanjo Afolabi Bolarinwa, Vida Nyagre Yakong, Richard Adongo Afaya, Richard Gyan Aboagye, Silas Selorm Daniels-Donkor, Ahmed-Rufai Yahaya, Jinhee Shin, Veronica Millicent Dzomeku and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 7 pooled it
–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

44 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  4. Prevalence of Breast Cancer Screening in Asia: Systematic Review and Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2024
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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

12 authors.

Agani AfayaMo-Im Nursing Research Institute, College of Nursing, Yonsei University, 50-1, Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.ORCID https://orcid.org/0000-0002-7918-2999
Sheena RamazanuAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-8526-5352
Obasanjo Afolabi BolarinwaDepartment of Global Public Health, Canterbury Christ Church University, Canterbury, UK.ORCID https://orcid.org/0000-0002-9208-6408
Vida Nyagre YakongDepartment of Preventive Health Nursing, School of Nursing and Midwifery, University for Development Studies, Tamale, Ghana.ORCID https://orcid.org/0000-0001-8014-2989
Richard Adongo AfayaDepartment of Midwifery and Women's Health, School of Nursing and Midwifery, University for Development Studies, Tamale, Ghana.ORCID https://orcid.org/0000-0003-4616-7642
Richard Gyan AboagyeDepartment of Family and Community Health, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana.ORCID https://orcid.org/0000-0002-3498-2909
Silas Selorm Daniels-DonkorDepartment of Nursing, School of Health Sciences, University of Dundee, Scotland, Dundee, UK.
Ahmed-Rufai YahayaHariri School of Nursing, American University of Beruit, Beirut, Lebanon.
Jinhee ShinWoosuk University, College of Nursing, Wanju, Republic of Korea. jini2112@yonsei.ac.kr.ORCID https://orcid.org/0000-0001-5715-3815
Veronica Millicent DzomekuDepartment of Nursing, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID https://orcid.org/0000-0003-0568-5910
Martin Amogre AyanoreDepartment of Health Policy Planning and Management, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Ho, Ghana.ORCID https://orcid.org/0000-0002-4095-3047
Robert Kaba AlhassanCentre for Health Policy and Implementation Research. Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana.ORCID https://orcid.org/0000-0003-4227-4854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, breast cancer is the most common cancer type and the leading cause of cancer mortality among women in developing countries. A high prevalence of late breast cancer diagnosis and treatment has been reported predominantly in Low- and Middle-Income Countries (LMICs), including those in Asia. Thus, this study utilized a mixed-methods systematic review to synthesize the health system barriers influencing timely breast cancer diagnosis and treatment among women in Asian countries.

methodsWe systematically searched five electronic databases for studies published in English from 2012 to 2022 on health system barriers that influence timely breast cancer diagnosis and treatment among women in Asian countries. The review was conducted per the methodology for systematic reviews and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, while health system barriers were extracted and classified based on the World Health Organization (WHO)'s Health Systems Framework. The mixed-methods appraisal tool was used to assess the methodological quality of the included studies.

resultsTwenty-six studies were included in this review. Fifteen studies were quantitative, nine studies were qualitative, and two studies used a mixed-methods approach. These studies were conducted across ten countries in Asia. This review identified health systems barriers that influence timely breast cancer diagnosis and treatment. The factors were categorized under the following: (1) delivery of health services (2) health workforce (3) financing for health (4) health information system and (5) essential medicines and technology. Delivery of health care (low quality of health care) was the most occurring barrier followed by the health workforce (unavailability of physicians), whilst health information systems were identified as the least barrier.

conclusionThis study concluded that health system factors such as geographical accessibility to treatment, misdiagnosis, and long waiting times at health facilities were major barriers to early breast cancer diagnosis and treatment among Asian women in LMICs. Eliminating these barriers will require deliberate health system strengthening, such as improving training for the health workforce and establishing more healthcare facilities.

Indexed as

Breast NeoplasmsDeveloping CountriesAsiaDelivery of Health CareFemaleHealth FacilitiesHumansAsiaBarriersBreast cancerHealth systems

Identifiers

PMID36587198
PMCPMC9805268

What OpenQuestion holds

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LicenceCC BY
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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.