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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

BMC Health Services Research volume 22, Article number: 1601 (2022) Cite this article

Abstract

Background

Globally, 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.

Methods

We 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.

Results

Twenty-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.

Conclusion

This 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.

Peer Review reports

Background

Globally, breast cancer is the most commonly diagnosed cancer and the fifth cause of cancer deaths, with an estimated 2.3 million global prevalence and 685,000 deaths in 2020 [1, 2]. It is estimated that in 2070, the cases of breast cancer are expected to reach 4.4 million [2, 3]. Among women, breast cancer accounted for about 24.5% of all cancer cases and 15.5% of cancer mortality, ranking it as the number one for incidence and mortality in the majority of the world countries in 2020 [1, 2]. According to Global Cancer Statistics, breast cancer is the second most prevalent cancer in Asia, specifically among women [1]. Evidence shows that some Asian countries have had relatively low breast cancer incidence but have recently shown rapidly increasing trends due to social economic development and lifestyle changes [2, 4, 5].

In high-income countries, it is estimated that more than 70% of breast cancer patients are diagnosed in the early stages of cancer [stage 1 or 2] while in Low-and Middle-Income Countries (LMICs), about 20–50% are diagnosed with advanced breast cancers [6, 7]. Delayed presentation, diagnosis, and treatment of breast cancer are often associated with poor prognosis [8, 9] and account for the significant differences in the mortality rate of breast cancer in various countries [10]. Although breast cancer is a significant health problem in North America, Western Europe, and Australia [1], its incidence is currently observed to have significantly increased in several Asian nations [1]. For example, in Iran, the annual incidence of breast cancer is approximately 20 new cases per 100,000 women [11], out of which 70% are diagnosed at advanced cancer stages, leading to death within a short stipulated timeframe [12]. A delay in breast cancer diagnosis and treatment could be related to one of the following factors: patient screening delay, health or medical care provider delay, delay in services, or treatment delay [13]. Several underlying factors are associated with late diagnosis of breast cancer, including age, marital status, socioeconomic status, health insurance, history of benign breast disease, menopausal status, type of tumor, and type of first symptoms [7, 14,15,16,17].

A delay in cancer diagnosis does not only decrease patients’ chances of survival but may also increase medical costs requiring more invasive treatments [7]. Most of the existing review studies conducted in Asia were centered on factors associated with delayed presentation, diagnosis, and treatment of breast cancer [18, 19]. However, health system-related factors associated with the delayed diagnosis and treatment of breast cancer (from presentation to first treatment) have not been well investigated in the Asian context. A recent systematic review [19] in Asia identified some healthcare factors that were barriers to early breast cancer diagnosis and treatment but could not dissect the specific healthcare barriers in detail therefore creating a knowledge gap. Building on this knowledge gap of the above study [19] and also due to the weak healthcare systems in most LMICs, it is crucial to assess factors that are beyond the control of the individual such as the health system factors contributing to delay in the diagnosis and treatment of breast cancer. Providing a detailed description of the health system factors that influence the timely diagnosis of breast cancer using the World Health Organization (WHO) Health Systems Framework would provide clinicians and policymakers with key specific areas to strengthen and ensure early diagnosis and treatment of breast cancer. To the best of our knowledge, no study has adopted the WHO Health Systems Framework’s six building blocks [20] to itemize the key health system factors affecting the timely diagnosis and treatment of breast cancer among Asian women in developing countries. Classifying the findings under the WHO’s six building blocks (health service delivery, health workforce, health information system, access to essential medicines and technologies, health system financing, and leadership and governance), would provide a broader view of which health system factors requires agent intervention to improve timely diagnosis and treatment. Therefore, this systematic review comprehensively synthesized evidence on health system-related factors affecting the timely breast cancer diagnosis and treatment of Asian women.

Methods

This review was systematically conducted in accordance with the Joanna Briggs Institute (JBI) methodology for systematic reviews and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [21]. The protocol for this systematic review was not registered.

Data source and search strategy

We conducted a comprehensive search for relevant studies in the following electronic databases: PubMed, CINAHL, EMBASE, Web of Science, and PsycINFO. We adopted the three-step strategy proposed by JBI for all types of reviews [22]. Firstly, an initial limited search was undertaken in PubMed and CINAHL. To identify the keywords and index terms, we analyzed the text words within the title and abstract and index words that were used to describe the articles. Secondly, using the identified keywords (breast neoplasm, breast cancer, late diagnosis, delayed diagnosis, early diagnosis, and treatment) and index terms, a general search across the databases was performed. Thereafter, an individual search strategy for each database considering the differences in Thesaurus terminology and indexing was developed. Thirdly, hand search through Google and tracing of references of all articles included were searched for additional studies. A detailed search strategy for the various databases is attached in Additional file 1. The search was limited to articles published from 01-2012 to 01-04-2022. The year limit was chosen to gather current evidence on health system factors affecting the timely diagnosis and treatment of breast cancer. This systematic review elements formatting structure, PICOTS (Population-Intervention-Comparator-Outcome-Timing-Setting) for the development of eligibility criteria for the review (Table 1).

Table 1 Population-Intervention-Comparator-Outcome-Timing-Setting (PICOTS)
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Inclusion and exclusion criteria

The inclusion criteria involved studies that (1) reported primary research findings among women with breast cancer in Asia, (2) addressed health system factors influencing early detection, diagnosis, and treatment of breast cancer, and (3) were published in the English language from 2012 to 2022. Exclusion criteria included studies (1) without abstracts or full text and (2) undertaken outside of the Asian continent.

Study selection

Following the search of the electronic databases, all citations of the identified records were collated and uploaded into the EndNote X9 reference manager for removal of duplicated files and storage. The titles and abstracts of the studies were exported into a word file for screening. Two independent review authors (AA & RAA) screened the study titles and abstracts for relevance. The two reviewers then reconciled the outcome of the screening. Potential articles that seemed relevant for the review were retrieved in full. Thereafter, full-text articles were screened by two independent reviewer authors (AA & RAA) against the inclusion criteria. Full-text articles that did not meet the inclusion criteria were excluded and reasons for exclusion were justified. Any disagreements that occurred between the two review authors were resolved through mutual discussion, and where no consensus was reached, a third reviewer (RAK) was involved. The review articles selection process is detailed in the PRISMA 2020 flow diagram (Fig. 1).

Fig. 1
figure 1

PRISMA flow diagram

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Data extraction

Two review authors (RAA and SDD) independently extracted data such as study characteristics (first authors, publication year, country, study aim and design, age group, participants, and sample size), and health system factors (barriers) [Table 2, Table 3]. The review adopted the WHO Health Systems Framework’s six building blocks [20] to extract and classify the health system factors. They include (a) health service delivery, (b) health workforce, (c) health information system, (d) access to essential medicines and technologies, (e) health system financing, and (f) leadership and governance. We then adopted the six building blocks because they are key contributing factors to health system strengthening in many ways. The key building blocks of WHO provide the basis for the overall policy and regulation of all the other health system factors. Crucial components of a successful health system include financing and the health workforce. Also service delivery and medical products and technologies reflect the immediate outputs of the health system, specifically the availability and distribution of care. The leadership and government component of the WHO building block was not utilized in this study as we did not identify related factors. Discrepancies in the study selection process and extraction were resolved through mutual discussion, with two other authors (MAA & RAK).

Table 2 Characteristics of studies
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Table 3 Characteristics and results of included studies
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Data synthesis

The review underpinned a narrative synthesis approach without meta-analysis [51]. A meta-analysis was not possible due to the heterogeneity of the study designs and the variability of the outcome measures. Thus, the narrative synthesis approach was deemed useful as the aim of this review was to primarily identify the health system factors that affected the early detection, diagnosis, and treatment of breast cancer using the six building blocks of the WHO Health Systems Framework. The extracted information from the studies was read and reread to identify the health system factors influencing timely breast cancer diagnosis and treatment. We categorized each health system factor in line with the six building blocks. Each building block then form a major category. We then provided a narrative approach to present the findings, including tables and figures to aid in data presentation, where appropriate.

Assessment of methodological quality

The mixed Methods Appraisal Tool (MMAT) [52] was utilized to evaluate and appraise the qualitative, quantitative, and mixed methods research designs. The MMAT assesses the appropriateness of the study aim and design, methodology, participant recruitment, data collection, data analysis, presentation of findings, authors’ discussions, and conclusions. Two review authors (RAA & VNY) independently reviewed and appraised the articles (see Additional file 2). Discrepancies regarding the quality assessment of the articles included were discussed among all the authors to resolve disagreements.

Results

An initial search through the electronic databases yielded 779 studies, of which 210 duplicates/triplicates articles were removed. A total of 569 non-duplicate studies were screened by title and abstract and 531 studies were excluded using the exclusion criteria. Of the remaining 38 studies, 21 articles met the inclusion criteria. An additional five articles were included through reference tracing and hand searches. Finally, a total of 26 studies were included in this review (Fig. 1).

Characteristics of the included studies

Of the 26 [23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48] studies included in this review, 15 used quantitative [23, 24, 26, 31, 33,34,35,36,37, 41,42,43,44,45,46], nine used qualitative [25, 27,28,29,30, 32, 38,39,40], and two used mixed-methods design [47, 48]. The cumulative sample size of breast cancer patients was 4457. The sample sizes of the studies ranged from 10 to 499 for the quantitative, qualitative, and mixed studies. The studies were conducted across 10 countries in Asia: 18 studies are from South Asia [23, 24, 29,30,31, 33, 34, 37,38,39, 41,42,43,44,45,46,47,48], seven studies are from Southeast Asia [25,26,27,28, 32, 36, 40], and a study from Western Asia [35] (see Table 2).

Quality assessments outcome

Quality assessment of the studies reviewed showed that most (fifteen) of the studies were well-designed to reduce bias. However, most (eleven) of the included quantitative descriptive studies did not use validated tools as they did not indicate the validity and reliability of the measurements used. The risks of non-response bias could not be assessed as a few studies (four) did not report the non-response rates. The two mixed-method studies did not provide an adequate rationale for using a mixed-methods design to address the research question. As MMAT discourages the calculation of the overall score from the ratings of each criterion, reviewers did not assign any scores for appraisal [52] (see Additional file 2).

Health system barriers to timely breast cancer diagnosis and treatment

We categorized the barriers to timely breast cancer diagnosis and treatment into five sections which include (1) delivery of health services (2) health workforce (3) financing for health (4) health information system (5) essential medicines and technology (see Table 4, Fig. 2).

Table 4 Health system barriers classified according to WHO building blocks
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Fig. 2
figure 2

Key health system barriers to breast cancer diagnosis and treatment among Asian women

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Delivery of health services

Nineteen studies addressed health service delivery. The review identified that low care quality and service delivery within health facilities contributed to significant delays in Asian women seeking breast cancer treatments [25, 30, 39]. A study among Iranian women reported:

“The low quality of medical services decreases timely visits. … some women, who visited a physician on time, underwent mastectomy, or passed away, or had a low survival chance due to errors in medical practices. This reduces the patients’ trust in the medical sector” [39].

Complicated procedures such as surgical biopsies were conducted without anesthesia, thus inducing pain [40] as were the main factors influencing delays in seeking healthcare. Other factors also include overcrowding [40] and long waiting times [38, 42, 50] at the consultation facilities. A long waiting list for surgery [47] was a factor contributing to delays among women with breast cancer in seeking prompt treatment. We identified that women who were not given appointments [28] and those who experienced appointment delays [33, 37, 38] in health facilities were likely to seek late or even quit treatment. For example, a woman narrated:

“… I was forced to wait for more than 3 hours even though I had an appointment. Sometimes the behavior of staff also discouraged me, and I thought that I should quit treatment” [38].

Long-distance and a lack of access to hospitals [30, 36, 39, 43, 45, 48], limited cancer screening centers [38], and hospitals not having screening facilities were predominant factors influencing delays in seeking diagnosis and treatment. Inaccessibility [37] and the non-availability of healthcare facilities [31] were barriers to the early diagnosis and treatment of breast cancer among women. Referral delays by medical practitioners [26, 27, 34, 42] were also identified as barriers to early diagnosis and treatment.

Health workforce

Eighteen studies identified health workforce. Among the health workforce factors, the unavailability of doctors [32, 35], especially oncologists and cancer specialists [38, 48] served as a barrier to early diagnosis and treatment of breast cancer. Several studies reported the lack and preference for female doctors over male doctors [24, 31, 37,38,39, 42]. A study in Pakistan indicated that women were reluctant to visit male doctors for breast cancer treatment as they did not want to expose their bodies to male doctors [38]. A woman narrated:

“… it was very embarrassing for me to discuss my breasts with him. It was worse when he asked me to show the tumor. As a Muslim female, I could not imagine that I can ever show my breasts to an unknown male …” [38].

A low physician-patient ratio was also identified as a barrier to early diagnosis and treatment of breast cancer [40]. Delay in diagnosis [47] and misdiagnosis [25, 28, 29, 33, 39, 40, 42] resulted in one of the most common health workforce factors that served as a barrier to the early detection of breast cancer. For example, a woman narrated:

“The doctors did not diagnose a tumor. They said everything was okay” [40].

Healthcare providers not being able to recognize breast cancer signs and symptoms [27], and not suspecting breast cancer by multiple medical practitioners [43] served as an added barrier to early diagnosis and treatment. Poor communication and misinformation by professionals [27, 40], poor attitudes of paramedical staff, hospital administration [38], and a lack of interpersonal experience with health professionals [48] served as health workforce factors influencing delayed treatment. A participant narrated:

“Initially, I faced a terrible experience when I visited a renowned hospital … They made me feel like a burden and I realized that old people are not needed by society … their (physicians’) attitude made my sickness worst.” [38].

Financing for health

Eleven studies identified health financing. Two major factors were identified as health financing-related factors: (1) the high cost of hospital treatments and investigations and (2) a lack of health insurance scheme support. High costs of hospital treatment and investigations were reported as an important factor influencing women’s access to breast cancer treatment in 11 studies [23,24,25, 30, 32, 36, 38,39,40]. Another health financing-related factor was the lack of insurance [38], and inadequate insurance coverage [39] serving as a barrier to early diagnosis and treatment of breast cancer.

Essential medicines and technology

Three studies identified essential medicines and technologies. This review identified a lack of the necessary breast cancer diagnostic equipment [48], while some studies indicated the non-availability of diagnostic services [30] and low quality of diagnostic and medical services [39].

Health information system

Among all the included studies, only two studies from developing countries addressed information systems [41, 42]. One of the studies revealed that the lack of information about available health facilities was a perceived barrier among Indian women in a poor resource setting [42]. Women who received contradicting information about breast cancer from different health professionals were most likely to present late for breast cancer treatment [41].

Discussion

This mixed-methods systematic review provides evidence of literature on health system-related barriers influencing timely breast cancer diagnosis and treatment of Asian women in LMICs. The findings of this study can serve as directions for relevant stakeholders and clinicians to design preemptive models against elements that cause delay and promote timely diagnosis and treatment in Asia.

An experience of low-quality health care and service delivery could deter patients from seeking early medical care in health facilities. Similarly, several studies outside the Asian region have also reported misdiagnosis, failure to suspect cancer at the initial consultation [53], medical errors, and false-negative interpretations of mammography [54,55,56] as a result of provider delay in breast cancer diagnosis, and treatment. In developing countries, where highly specialized human resources are scarce, and lack of diagnostic equipment might be attributed [57] to inaccurate medical diagnoses. Also, our finding resonate with a recent systematic review conducted in sub-Saharan Africa (SSA) that attributed misdiagnosis to poor knowledge and inadequate training of health care professionals on breast cancer [57]. The long waiting times and overcrowding in health facilities lead to dissatisfaction which in turn, leads to delays in the diagnosis and treatment of breast cancer among women. Overcrowding, long waiting times in health facilities, lack of cancer care facilities and scarcity of human resources were primary concerns of developing Asian countries as observed in this study. Consistent with our findings, a study reported geographical inaccessibility of different breast cancer treatment services as a key barrier to care in SSA [57]. Similarly, in LMICs, lack of accessibility to primary care and inability to obtain appointments with health care professionals were barriers to breast cancer care [58]. This resonated with access to diagnostics and geographical limitations to timely diagnosis and treatment. The findings suggest that efforts are required by policymakers to ensure availability of breast cancer screening and treatment centers that are easily accessible to breast cancer patients amid global surge in the number of breast cancer incidences.

Provision of culturally sensitive care by recognizing unique cultural, religious, and social beliefs and practices is of paramount importance. Globally, women’s cultural perceptions and attitudes towards breast cancer should be examined to optimize timely breast cancer diagnosis and treatment. A recent study conducted in New York city identified structural barriers (language, insurance status) and socio-cultural barriers (lack of knowledge on preventive cancer, gender roles, stigma, sex of doctors, and feelings of fatalism) as key barriers to breast and cervical cancer screening among Muslim women [59]. Similarly, a study conducted among Chinese women in the United Kingdom elicited social-cultural influences on the perceptions of breast cancer. Cancer is perceived as a taboo topic among Chinese women, and it is not recommended for discussion with others. Similar to the beliefs, Muslim women, Chinese and Filipino women associated cancer with an event that is predetermined by God, where external forces of humans have minimal power to influence [60, 61]. Prior to providing treatment care plans, it is important for healthcare professionals to critically examine the cultural values of Asian women in relation to breast cancer diagnosis and treatment [62]. Further research is warranted to illuminate knowledge on breast cancer and screening among ethnically diverse Southeast Asian women, as knowledge predicts greater intent for cancer screening. The development of culturally competent services involving language and culture-specific educational interventions would facilitate more women to proactively seek breast cancer screening, diagnosis, and treatment.

The cost of breast cancer treatment is considerable and persistently high beyond the affordability of most vulnerable populations. It even goes beyond the period of acute treatment to the advanced stages leading to medical debt deterring most patients from seeking care [63, 64]. Health financing-related factors were identified as barriers influencing early diagnosis and treatment of breast cancer. The high cost of breast cancer treatment and investigations were identified as key barriers to the early diagnosis and treatment of breast cancer. Our finding is consistent with recent systematic reviews conducted in Africa [57, 65]. The high cost of breast cancer diagnosis and treatment is observed in most countries worldwide, including developed and developing countries [66]. In some parts of Asia, the average out-of-pocket payment (OOP) for breast cancer diagnosis and treatment is 61.8 million VND ($2667) in Vietnam [67], while in China, the curative care expenditure for breast cancer was also similar [68]. The studies indicated that the advancement of the stage of cancer at diagnosis is associated with an increased cost. Therefore, in order to improve early diagnosis and treatment and to reduce the burden of breast cancer, interventions targeting subsidizing the high cost of treatment and policies aimed at early detection to reduce both health and economic impacts of breast cancer are imperative.

Holding health insurance grants individuals access to affordable health care. Some studies reported that uninsured patients were most likely to delay or forgo cancer care and prescribed medication due to its high costs [69,70,71]. Although health insurance is a key determining factor of access to health care, having insurance does not always translate to affordable care [72]. In most countries, health insurance does not cover all costs of cancer treatment and therefore forces women to pay out of pocket for services rendered in return, hence discouraging women from seeking treatment. The findings of this review are congruent with a review conducted in the Middle East and North Africa (MENA) region [73]. The study conducted in the MENA region found the largest increased odds for a mammogram were from women having insurance [73]. This study found that delayed diagnosis and treatment of breast cancer was more associated uninsured women. This study recommends expansion of the coverage of health insurance among women in LMICs to foster early diagnosis and treatment of breast cancer.

Cancer care challenge is a significant problem in developing countries. As a result of logistical and economic issues, where mammographic screening is limited, an early diagnosis of breast cancer in most developing countries is questionable [74]. Comparatively, breast cancer prognosis is better for women in developed countries than in developing countries. For instance, 70% of women in the United States undergo mammogram scans [75]. However, in the context of developing countries with budget limitations, breast cancer is often diagnosed with the presence of palpable mass during self-breast examination [76]. Studies have found that Asians diagnosed with breast cancer from low and middle-income countries were younger and more susceptible to dying from advanced stages of a cancer diagnosis. Sufficient funding is therefore required to establish cancer care systems offering breast cancer diagnostics, treatment, and palliative care services in LMICs of Asia [77].

Interestingly, this review did not identify related factors for leadership and governance domain of the WHO six building blocks. The leadership and governance systems, is a cross-cutting component, such that it provide the basis for the overall policy and regulation of all the other health system blocks [20]. The lack of this important component calls for attention to this key and important sector of the health care system. Most LMICs lack policies or cancer control strategies which further influence the burden of the disease in these countries. We recommend that future studies should assess the leadership and governance component of the six building blocks to enable health system strengthening and for policy implementations by policymaker and relevant stakeholders.

Implications for health systems policies and research

This study showed how health system barriers influence the timely diagnosis and treatment of breast cancer among women in Asian countries. The outcome of this study has several implications for health system policies and research. There is a need to establish deliberate barrier-free policies that will prioritize the timely diagnosis of women with breast cancer in Asia. The policies should further encourage the promotion of user-friendly cancer treatments for women who have already been diagnosed with breast cancer in Asia. We recommend that policies should target increasing the number of skilled and specialised healthcare professionals (doctors & nurses etc) and breast cancer screening centers to promote timely diagnosis and treatment Asia. Health care systems in LMICs in Asia should prioritise the needs of women preferences during seeking health care especially increasing the availability of female specialist doctors that provide breast cancer diagnosis and treatment services. In the same vein, health system research should carefully prioritize the socio-cultural differences in promoting early breast cancer diagnosis and treatment among women in Asian countries.

Strengths and limitations of this study

This study has some strengths and limitations worth noting. One of the key strengths of this study is the use of the WHO health systems’ six building blocks to categorize the health system barriers to timely breast cancer diagnosis and treatment. Also, a comprehensive search in several databases provided several relevant studies for this review. However, the results may not be transferable to all Asian countries as Asia comprises both LMICs and developed nations. Additionally, as studies published in any language other than English were excluded from this review, pertinent information potentially published in other languages could have been missed. Despite the limitation, this study highlights important findings of how Asian countries can work in partnerships to improve infrastructure and resources in LMICs of Asia.

Conclusion

This systematic review presented a comprehensive overview of the underlying health system challenges confronting women with breast cancer in accessing treatments in health facilities within Asia. The key health system barriers identified are high cost and geographical accessibility to breast cancer treatment, misdiagnosis from health professionals, lack of doctors and preference for female doctors, referral delays, and long waiting times at health facilities. These findings provide an opportunity for the strengthening of health systems and the implementation of suitable interventions to ensure these barriers are adequately eliminated to promote timely diagnosis and treatment of breast cancer among women in Asia.

Availability of data and materials

All data generated or analysed during this study are included in this published article [and its supplementary information files].

Abbreviations

CNY:

Chinese yuan renminbi

JBI:

Joanna Briggs Institute

LMICs:

Low-and Middle-Income Countries

MENA:

Middle East and North Africa

MMAT:

Mixed Methods Appraisal Tool

OOP:

Out-of-Pocket Payment

PICOTS:

Population-Intervention-Comparator-Outcome-Timing-Setting

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

SSA:

sub-Saharan Africa

VND:

Vietnamese Dong

WHO:

World Health Organization

References

  1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.

    Article  Google Scholar 

  2. Lei S, Zheng R, Zhang S, Wang S, Chen R, Sun K, et al. Global patterns of breast cancer incidence and mortality: a population-based cancer registry data analysis from 2000 to 2020. Cancer Commun (Lond). 2021;41(11):1183–94.

    Article  Google Scholar 

  3. Soerjomataram I, Bray F. Planning for tomorrow: global cancer incidence and the role of prevention 2020-2070. Nat Rev Clin Oncol. 2021;18(10):663–72.

    Article  Google Scholar 

  4. Lei S, Zheng R, Zhang S, Chen R, Wang S, Sun K, et al. Breast cancer incidence and mortality in women in China: temporal trends and projections to 2030. Cancer Biol Med. 2021;18(3):900–9.

    Article  Google Scholar 

  5. Fan L, Strasser-Weippl K, Li JJ, St Louis J, Finkelstein DM, Yu KD, et al. Breast cancer in China. Lancet Oncol. 2014;15(7):e279–89.

    Article  Google Scholar 

  6. Unger-Saldaña K. Challenges to the early diagnosis and treatment of breast cancer in developing countries. World J Clin Oncol. 2014;5(3):465–77.

    Article  Google Scholar 

  7. Foroozani E, Ghiasvand R, Mohammadianpanah M, Afrashteh S, Bastam D, Kashefi F, et al. Determinants of delay in diagnosis and end stage at presentation among breast cancer patients in Iran: a multi-center study. Sci Rep. 2020;10(1):21477.

    Article  CAS  Google Scholar 

  8. Huo Q, Cai C, Zhang Y, Kong X, Jiang L, Ma T, et al. Delay in diagnosis and treatment of symptomatic breast cancer in China. Ann Surg Oncol. 2015;22(3):883–8.

    Article  Google Scholar 

  9. Richards MA, Westcombe AM, Love SB, Littlejohns P, Ramirez AJ. Influence of delay on survival in patients with breast cancer: a systematic review. Lancet. 1999;353(9159):1119–26.

    Article  CAS  Google Scholar 

  10. Stapleton JM, Mullan PB, Dey S, Hablas A, Gaafar R, Seifeldin IA, et al. Patient-mediated factors predicting early- and late-stage presentation of breast cancer in Egypt. Psychooncology. 2011;20(5):532–7.

    Article  Google Scholar 

  11. Jarvandi S, Montazeri A, Harirchi I, Kazemnejad A. Beliefs and behaviours of Iranian teachers toward early detection of breast cancer and breast self-examination. Public Health. 2002;116(4):245–9.

    Article  CAS  Google Scholar 

  12. Harirchi I, Ebrahimi M, Zamani N, Jarvandi S, Montazeri A. Breast cancer in Iran: a review of 903 case records. Public Health. 2000;114(2):143–5.

    CAS  Google Scholar 

  13. Ukwenya AY, Yusufu LM, Nmadu PT, Garba ES, Ahmed A. Delayed treatment of symptomatic breast cancer: the experience from Kaduna, Nigeria. S Afr J Surg. 2008;46(4):106–10.

    CAS  Google Scholar 

  14. Chen Z, Yang J, Li S, Lv M, Shen Y, Wang B, et al. Invasive lobular carcinoma of the breast: a special histological type compared with invasive ductal carcinoma. PLoS One. 2017;12(9):e0182397.

    Article  Google Scholar 

  15. Hutajulu SH, Prabandari YS, Bintoro BS, Wiranata JA, Widiastuti M, Suryani ND, et al. Delays in the presentation and diagnosis of women with breast cancer in Yogyakarta, Indonesia: a retrospective observational study. PLoS One. 2022;17(1):e0262468.

    Article  CAS  Google Scholar 

  16. Pace LE, Mpunga T, Hategekimana V, Dusengimana JM, Habineza H, Bigirimana JB, et al. Delays in breast Cancer presentation and diagnosis at two rural Cancer referral centers in Rwanda. Oncologist. 2015;20(7):780–8.

    Article  Google Scholar 

  17. Zhang H, Wang G, Zhang J, Lu Y, Jiang X. Patient delay and associated factors among Chinese women with breast cancer: a cross-sectional study. Medicine (Baltimore). 2019;98(40):e17454.

    Article  Google Scholar 

  18. Alhurishi S, Lim JN, Potrata B, West R. Factors influencing late presentation for breast cancer in the middle east: a systematic review. Asian Pac J Cancer Prev. 2011;12(6):1597–600.

    Google Scholar 

  19. Sobri FB, Bachtiar A, Panigoro SS, Ayuningtyas D, Gustada H, Yuswar PW, et al. Factors affecting delayed presentation and diagnosis of breast Cancer in Asian developing countries women: a systematic review. Asian Pac J Cancer Prev. 2021;22(10):3081–92.

    Article  Google Scholar 

  20. Organization WH. Monitoring the building blocks of health systems: a handbook of indicators and their measurement strategies: World Health Organization; 2010.

    Google Scholar 

  21. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. J Clin Epidemiol. 2021;134:103–12.

    Article  Google Scholar 

  22. Peters M, Godfrey C, McInerney P, Soares C, Khalil H, Parker D. The Joanna Briggs institute reviewers’ manual 2015: methodology for JBI scoping reviews; 2015.

    Google Scholar 

  23. Gangane N, Anshu, Manvatkar S, Ng N, Hurtig AK, San Sebastián M. Prevalence and risk factors for patient delay among women with breast Cancer in rural India. Asia Pac J Public Health. 2016;28(1):72–82.

    Article  Google Scholar 

  24. Khan MA, Shafique S, Khan MT, Shahzad MF, Iqbal S. Presentation delay in breast cancer patients, identifying the barriers in North Pakistan. Asian Pac J Cancer Prev. 2015;16(1):377–80.

    Article  Google Scholar 

  25. Lim JN, Potrata B, Simonella L, Ng CW, Aw TC, Dahlui M, et al. Barriers to early presentation of self-discovered breast cancer in Singapore and Malaysia: a qualitative multicentre study. BMJ Open. 2015;5(12):e009863.

    Article  Google Scholar 

  26. Poum A, Promthet S, Duffy SW, Parkin DM. Factors associated with delayed diagnosis of breast cancer in Northeast Thailand. J Epidemiol. 2014;24(2):102–8.

    Article  Google Scholar 

  27. Taib NA, Yip CH, Low WY. A grounded explanation of why women present with advanced breast cancer. World J Surg. 2014;38(7):1676–84.

    Article  Google Scholar 

  28. Norsa'adah B, Rahmah MA, Rampal KG, Knight A. Understanding barriers to Malaysian women with breast cancer seeking help. Asian Pac J Cancer Prev. 2012;13(8):3723–30.

    Article  Google Scholar 

  29. Rastad H, Khanjani N, Khandani BK. Causes of delay in seeking treatment in patients with breast cancer in Iran: a qualitative content analysis study. Asian Pac J Cancer Prev. 2012;13(9):4511–5.

    Article  Google Scholar 

  30. Agha N, Tarar MG, Rind RD. Exploring breast Cancer patients’ experiences of struggle against socio-economic and geographical barriers in rural Pakistan. J Int Women’s Stud. 2021;22(5):318–32.

    Google Scholar 

  31. D'Almeida D, Latha T. Barriers for early detection of breast Cancer among south Indian women. Indian J Community Med. 2021;46(4):706–9.

    Article  Google Scholar 

  32. Dewi TK, Massar K, Ardi R, Ruiter RAC. Determinants of early breast cancer presentation: a qualitative exploration among female survivors in Indonesia. Psychol Health. 2021;36(12):1427–40.

    Article  Google Scholar 

  33. Hussain M, Hasan Z, Ali MA, Tapal Z, Saeed F, Aiman W. Delays in breast Cancer diagnosis at a tertiary care facility in Karachi, Pakistan. J Ayub Med Coll Abbottabad. 2021;33(2):248–51.

    Google Scholar 

  34. Majeed I, Ammanuallah R, Anwar AW, Rafique HM, Imran F. Diagnostic and treatment delays in breast cancer in association with multiple factors in Pakistan. East Mediterr Health J. 2021;27(1):23–32.

    Article  Google Scholar 

  35. Mjali A, Jawad SA, Al-Shammari HHJ. Breast Cancer in middle Euphrates region of Iraq: risk factors, presenting symptoms and time to medical help-seeking. Asian Pac J Cancer Care. 2021;6(3):243–7.

    Article  Google Scholar 

  36. Nguyen SM, Nguyen QT, Nguyen LM, Pham AT, Luu HN, Tran HTT, et al. Delay in the diagnosis and treatment of breast cancer in Vietnam. Cancer Med. 2021;10(21):7683–91.

    Article  Google Scholar 

  37. Rahool R, Haider G, Hayat M, Shaikh MR, Memon P, Pawan B, et al. Factors associated with treatment delay in breast Cancer: a prospective study. Cureus. 2021;13(2):e13242.

    Google Scholar 

  38. Saeed S, Asim M, Sohail MM. Fears and barriers: problems in breast cancer diagnosis and treatment in Pakistan. BMC Womens Health. 2021;21(1):151.

    Article  Google Scholar 

  39. Hossaini F, Akbari ME, Soori H, Ramezankhani A. Perceived barriers to early detection of breast Cancer in Iranian women: a qualitative content analysis. Int J Cancer Manag. 2020;13(9).

  40. Jenkins C, Ngan TT, Ngoc NB, Hien HT, Anh NH, Lohfeld L, et al. Experiences of accessing and using breast cancer services in Vietnam: a descriptive qualitative study. BMJ Open. 2020;10(3):e035173.

    Article  Google Scholar 

  41. Shamsi U, Khan S, Azam I, Usman S, Maqbool A, Gill T, et al. Patient delay in breast Cancer diagnosis in two hospitals in Karachi, Pakistan: preventive and life-saving measures needed. JCO Glob Oncol. 2020;6:873–83.

    Article  Google Scholar 

  42. Shreyamsa M, Singh D, Ramakant P, Anand A, Singh KR, Mouli S, et al. Barriers to timely diagnosis and Management of Breast Cancer: observations from a tertiary referral Center in Resource Poor Setting. Indian J Surg Oncol. 2020;11(2):287–93.

    Article  CAS  Google Scholar 

  43. Somanna SN, Nandagudi Srinivasa M, Chaluvarayaswamy R, Malila N. Time interval between self-detection of symptoms to treatment of breast Cancer. Asian Pac J Cancer Prev. 2020;21(1):169–74.

    Article  Google Scholar 

  44. Baig M, Sohail I, Altaf HN, Altaf OS. Factors influencing delayed presentation of breast cancer at a tertiary care hospital in Pakistan. Cancer Rep (Hoboken). 2019;2(1):e1141.

    Article  Google Scholar 

  45. Gulzar F, Akhtar MS, Sadiq R, Bashir S, Jamil S, Baig SM. Identifying the reasons for delayed presentation of Pakistani breast cancer patients at a tertiary care hospital. Cancer Manag Res. 2019;11:1087–96.

    Article  Google Scholar 

  46. Hameed Khaliq I, Mahmood HZ, Sarfraz MD, Masood Gondal K, Zaman S. Pathways to care for patients in Pakistan experiencing signs or symptoms of breast cancer. Breast. 2019;46:40–7.

    Article  Google Scholar 

  47. Kumar A, Bhagabaty SM, Tripathy JP, Selvaraj K, Purkayastha J, Singh R. Delays in diagnosis and treatment of breast cancer and the pathways of care: a mixed methods study from a tertiary Cancer Centre in North East India. Asian Pac J Cancer Prev. 2019;20(12):3711–21.

    Article  Google Scholar 

  48. Steiness HS, Villegas-Gold M, Parveen H, Ferdousy T, Ginsburg O. Barriers to care for women with breast cancer symptoms in rural Bangladesh. Health Care Women Int. 2018;39(5):536–54.

    Article  Google Scholar 

  49. Ng CWQ, Lim JNW, Liu J, Hartman M. Presentation of breast cancer, help seeking behaviour and experience of patients in their cancer journey in Singapore: a qualitative study. BMC Cancer. 2020;20(1):1080.

    Article  Google Scholar 

  50. Ng DY, Tudor Car L, Ng MJM, Lu J, Leung J, Goo TT, et al. Identifying barriers to early presentation in patients with locally advanced breast cancer (LABC) in northern Singapore: qualitative study. PLoS One. 2021;16(5):e0252008.

    Article  CAS  Google Scholar 

  51. Campbell M, McKenzie JE, Sowden A, Katikireddi SV, Brennan SE, Ellis S, et al. Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline. BMJ. 2020;368:l6890.

    Article  Google Scholar 

  52. Hong Q, Pluye P, Fàbregues S, Bartlett G, Boardman F, Cargo M, et al. Mixed methods appraisal tool (MMAT) version 2018: user guide. Montreal: McGill University; 2018.

    Google Scholar 

  53. Unger-Saldaña K, Infante-Castañeda C. Is breast cancer delay really the patient’s fault? In: Relational concepts in medicine. edn: Brill; 2011. p. 27–40.

    Google Scholar 

  54. Caplan LS, May DS, Richardson LC. Time to diagnosis and treatment of breast cancer: results from the National Breast and cervical Cancer early detection program, 1991-1995. Am J Public Health. 2000;90(1):130–4.

    Article  CAS  Google Scholar 

  55. Bairati I, Jobin E, Fillion L, Larochelle M, Vincent L. Determinants of delay for breast cancer diagnosis. Cancer Detect Prev. 2007;31(4):323–31.

    Article  Google Scholar 

  56. Goodson WH 3rd, Moore DH 2nd. Causes of physician delay in the diagnosis of breast cancer. Arch Intern Med. 2002;162(12):1343–8.

    Article  Google Scholar 

  57. Gbenonsi G, Boucham M, Belrhiti Z, Nejjari C, Huybrechts I, Khalis M. Health system factors that influence diagnostic and treatment intervals in women with breast cancer in sub-Saharan Africa: a systematic review. BMC Public Health. 2021;21(1):1325.

    Article  Google Scholar 

  58. Brand NR, Qu LG, Chao A, Ilbawi AM. Delays and barriers to cancer care in low- and middle-income countries: a systematic review. Oncologist. 2019;24(12):e1371–80.

    Article  Google Scholar 

  59. Islam N, Patel S, Brooks-Griffin Q, Kemp P, Raveis V, Riley L, et al. Understanding barriers and facilitators to breast and cervical Cancer screening among Muslim women in New York City: perspectives from key informants. SM J Community Med. 2017;3(1).

  60. Shang C, Beaver K, Campbell M. Social cultural influences on breast Cancer views and breast health practices among Chinese women in the United Kingdom. Cancer Nurs. 2015;38(5):343–50.

    Article  Google Scholar 

  61. Lagarde JBB, Laurino MY, San Juan MD, Cauyan JML, Tumulak MJR, Ventura ER. Risk perception and screening behavior of Filipino women at risk for breast cancer: implications for cancer genetic counseling. J Community Genet. 2019;10(2):281–9.

    Article  Google Scholar 

  62. Bedi M, Devins GM. Cultural considerations for south Asian women with breast cancer. J Cancer Surviv. 2016;10(1):31–50.

    Article  Google Scholar 

  63. Pisu M, Azuero A, McNees P, Burkhardt J, Benz R, Meneses K. The out of pocket cost of breast cancer survivors: a review. J Cancer Surviv. 2010;4(3):202–9.

    Article  Google Scholar 

  64. Jagsi R, Pottow JA, Griffith KA, Bradley C, Hamilton AS, Graff J, et al. Long-term financial burden of breast cancer: experiences of a diverse cohort of survivors identified through population-based registries. J Clin Oncol. 2014;32(12):1269–76.

    Article  Google Scholar 

  65. Salisu WJ, Mirlashari J, Varaei S, Seylani K. Limited access to care for persons with breast cancer in Africa: a systematic review. Eur J Oncol Nurs. 2021;50:101867.

    Article  Google Scholar 

  66. Sun L, Legood R, Dos-Santos-Silva I, Gaiha SM, Sadique Z. Global treatment costs of breast cancer by stage: a systematic review. PLoS One. 2018;13(11):e0207993.

    Article  Google Scholar 

  67. Ngan TT, Ngoc NB, Van Minh H, Donnelly M, O’Neill C. Costs of breast cancer treatment incurred by women in Vietnam. BMC Public Health. 2022;22(1):61.

    Article  Google Scholar 

  68. Ma Z, Deng G, Meng Z, Ma Y, Wu H. Unbalanced treatment costs of breast cancer in China: implications from the direct costs of inpatient and outpatient care in Liaoning Province. Int J Health Policy Manag. 2021.

  69. Sabatino SA, Coates RJ, Uhler RJ, Alley LG, Pollack LA. Health insurance coverage and cost barriers to needed medical care among U.S. adult cancer survivors age<65 years. Cancer. 2006;106(11):2466–75.

    Article  Google Scholar 

  70. Weaver KE, Rowland JH, Bellizzi KM, Aziz NM. Forgoing medical care because of cost: assessing disparities in healthcare access among cancer survivors living in the United States. Cancer. 2010;116(14):3493–504.

    Article  Google Scholar 

  71. Kent EE, Forsythe LP, Yabroff KR, Weaver KE, de Moor JS, Rodriguez JL, et al. Are survivors who report cancer-related financial problems more likely to forgo or delay medical care? Cancer. 2013;119(20):3710–7.

    Article  Google Scholar 

  72. de Moor JS, Virgo KS, Li C, Chawla N, Han X, Blanch-Hartigan D, et al. Access to Cancer care and general medical care services among Cancer survivors in the United States: an analysis of 2011 medical expenditure panel survey data. Public Health Rep. 2016;131(6):783–90.

    Article  Google Scholar 

  73. Bowser D, Marqusee H, El Koussa M, Atun R. Health system barriers and enablers to early access to breast cancer screening, detection, and diagnosis: a global analysis applied to the MENA region. Public Health. 2017;152:58–74.

    Article  CAS  Google Scholar 

  74. da Costa Vieira RA, Biller G, Uemura G, Ruiz CA, Curado MP. Breast cancer screening in developing countries. Clinics (Sao Paulo). 2017;72(4):244–53.

    Article  Google Scholar 

  75. Ward E, Jemal A, Cokkinides V, Singh GK, Cardinez C, Ghafoor A, et al. Cancer disparities by race/ethnicity and socioeconomic status. CA Cancer J Clin. 2004;54(2):78–93.

    Article  Google Scholar 

  76. Singh YP, Sayami P. Management of breast cancer in Nepal. JNMA J Nepal Med Assoc. 2009;48(175):252–7.

    CAS  Google Scholar 

  77. Fan L, Goss PE, Strasser-Weippl K. Current status and future projections of breast cancer in Asia. Breast Care (Basel). 2015;10(6):372–8.

    Article  Google Scholar 

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Authors and Affiliations

  1. Mo-Im Nursing Research Institute, College of Nursing, Yonsei University, 50-1, Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea

    Agani Afaya

  2. Department of Nursing, School of Nursing and Midwifery, University of Health and Allied Sciences, Ho, Ghana

    Agani Afaya

  3. Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

    Sheena Ramazanu

  4. Department of Global Public Health, Canterbury Christ Church University, Canterbury, UK

    Obasanjo Afolabi Bolarinwa

  5. Department of Preventive Health Nursing, School of Nursing and Midwifery, University for Development Studies, Tamale, Ghana

    Vida Nyagre Yakong

  6. Department of Midwifery and Women’s Health, School of Nursing and Midwifery, University for Development Studies, Tamale, Ghana

    Richard Adongo Afaya

  7. Department of Family and Community Health, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana

    Richard Gyan Aboagye

  8. Department of Nursing, School of Health Sciences, University of Dundee, Scotland, Dundee, UK

    Silas Selorm Daniels-Donkor

  9. Hariri School of Nursing, American University of Beruit, Beirut, Lebanon

    Ahmed-Rufai Yahaya

  10. Department of Internal Medicine, Tamale Teaching Hospital, Tamale, Ghana

    Ahmed-Rufai Yahaya

  11. Woosuk University, College of Nursing, Wanju, Republic of Korea

    Jinhee Shin

  12. Department of Nursing, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

    Veronica Millicent Dzomeku

  13. Department of Health Policy Planning and Management, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Ho, Ghana

    Martin Amogre Ayanore

  14. Centre for Health Policy and Implementation Research. Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana

    Robert Kaba Alhassan

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  1. Agani Afaya
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Contributions

AA, SR, RAA, and JS conceptualized the study. AA, SR, RAA, OAB, VNY, RGA, SSD-D, A-RY, JS, VMD, MAA, and RKA had full roles in the identification, article review, data extraction, quality assessment, and analysis, draft writing, and revision of the manuscript. All authors read and approved the final version of the manuscript for publication consideration.

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Correspondence to Jinhee Shin.

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Supplementary Information

Additional file 1.

Search strategies.

Additional file 2

Mixed Methods Appraisal Tool (MMAT) in selected studies (N=26).

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Afaya, A., Ramazanu, S., Bolarinwa, O.A. et al. 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. BMC Health Serv Res 22, 1601 (2022). https://doi.org/10.1186/s12913-022-08927-x

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BMC Health Services Research

ISSN: 1472-6963

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