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| ID | Type | Description | Link |
|---|---|---|---|
| (BMFTR) 01KA2220B | Other Grant/Funding Number | the Network for Oncology Research in Africa (NORA) | |
| Del-22-008 | Other Grant/Funding Number | the Science for Africa Foundation |
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| Name | Class |
|---|---|
| Martin-Luther-Universität Halle-Wittenberg | OTHER |
| University of Witwatersrand, South Africa | OTHER |
| Kilimanjaro Clinical Research Institute | OTHER |
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Brief summery Prolonged presentation, along with diagnostic and treatment delays, remain significant problems for breast cancer care in sub-Saharan Africa , primarily due to low health-seeking behaviour, lack of access, long waiting times, and weak referral systems. Despite these challenges, evidence-based interventions like structured breast screening and patient navigation services are limited. To address these issues, the investigators aimed to implement a provider-initiated clinical breast examination and patient navigation intervention using an implementation mapping approach.
This is just a pragmatic implementation pilot study in the four sub-Saharan African countries that make up the Network for Oncology Research in Africa (NORA) consortium: Ethiopia, South Africa, Nigeria, and Tanzania after identifying contextual barriers and implementation determinants using a baseline assessment. The main aim of the study is to improve timely diagnosis and initiation of breast cancer treatment by implementing provider-initiated clinical breast examination and patient navigation interventions.
The study has the following key outcomes: Proportion of CBE uptake, time to diagnosis, proportion of early-stage disease, time to treatment initiation, barriers to implementation, adoption by providers and implementation fidelity The study will strictly follow the steps of implementation mapping design to select and evaluate implementation strategies to bring an evidence-based intervention. In addition, the study will apply established frameworks such as the CFIR and RE-AIM, which can strengthen the study's ability to identify, measure, and interpret multiple implementation outcomes. This study aligns with the Ministry of Health priorities of each individual countries aimed at scaling up breast cancer early detection in primary and secondary level health care settings. Therefore, it will provide evidence-based strategies that can be incorporated into the routine health care practice to address multiple points of delay in the care pathway, mainly in the early detection and referral phases at each level of the health care system. The findings will offer a promising strategy to address critical delays in the breast cancer care continuum for low & middle income settings facing similar challenges. Moreover, the findings will contribute to national and global efforts to improve breast cancer care equity and outcomes through implementation science.
The majority of breast cancer patients experienced long delays from their initial presentation to final diagnosis and treatment initiation in sub-Saharan Africa , primarily due to low health-seeking behavior, lack of access, long waiting times for diagnostic workups, and weak referral systems. Despite these challenges, evidence-based interventions like structured breast screening using clinical breast exams and PN services are limited. CBE is offered only for those presenting with breast complaints. Standard screening tools such as mammography are very limited in the settings. This urges an urgent need for context-specific implementation strategies that are evidence-based and feasible within the constraints of the health care facilities in the countries, where patients suffer long diagnostic and treatment delays.
The investigators hypothesized that implementing provider-initiated (CBE) and PN would improve the screening uptake, timely diagnosis, and linkage to treatment for breast cancer in the region. The intervention will be implemented based on the national breast health guideline of each individual countries, which recommends using CBE and PN services with effective referral pathways. This combined approach aligns with the WHO's global breast cancer initiative (GBCI), aiming to reduce mortality through early detection and comprehensive care, and is particularly suited to low and middle income countries .
The investigators aimed to use the Implementation Mapping framework, a systematic, step-by-step methodology used to guide the development of implementation strategies that enhance the adoption, execution, and sustainability of evidence-based interventions by engaging stakeholders within local settings. This study will address a critical gap in breast cancer care by facilitating early detection, timely diagnosis, and care. Moreover, the findings will generate practical insights and scalable approaches that can inform policymakers and be expanded nationally by integrating them into the conventional healthcare system and tailoring them for other low-resource settings facing comparable issues.
Implementation process Our implementation will follow the following five steps of implementation mapping design Step 1: Conduct a needs assessment The first step is conducting a thorough assessment using the CFIR framework to gather general information on the health care infrastructure and workforce, opportunities, and challenges from the perspectives of stakeholders by conducting initial health facility surveys, IDIs, and FGDs.
Step 2: Identify adoption and implementation outcomes, performance objectives, performance determinants, and change objectives In this step, the investigators will identify the potential adoption and implementation outcomes, performance objectives, performance determinants, and change objectives based on our formative assessment findings Step 3: Select and Design Implementation Strategies
In the third step, the investigators identified the following key implementation strategies that address the specific needs of receivers and implementers within the local context:
Step 4: Produce Implementation Protocols and Materials. In this step, a set of necessary protocols & materials will be developed. This includes health education materials (audio visuals, posters, brochures), follow-up data collection tools, registration log books, screening tickets, HCP training manuals, CBE and PN SOPs, consent forms, patient navigation tracking forms, referral logbooks, post-intervention assessment tools, observation checklists, monitoring and evaluation tools.
Step 5: Evaluation of implementation outcomes In this step, a RE-AIM framework will be used to evaluate the impact of the intervention on improving each of the adoption and implementation outcomes. Surveys and interviews will be conducted with HCPs and patients to understand their perceptions and experiences with the intervention using each domain of the RE-AIM framework.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Clinical breast examination and navigation | Experimental | Nurses will be trained on clinical breast examination techniques and navigation to routinely offer CBE to eligible women and to support women with suspicious findings until compilation of diagnosis and Initiation of breast cancer treatment |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Clinical breast examination and Navigation | Other | trained nurses on clinical breast examination and navigation will provide screening for all eligible women and they will follow those women who will have suspicious breast lesions until they have completed their final diagnosis of breast cancer and initiation of breast cancer treatment |
| Measure | Description | Time Frame |
|---|---|---|
| Time to diagnosis of a suspicious breast lesion | Time from first presentation to confirmed diagnosis of suspicious breast lesion. If < 60 days, it is considered a short interval and if ≥ 60 days, it is considered as long interval | 12 month |
| Proportion of clinical breast examination (CBE) uptake | This the percentage of women who undergo CBE from the total eligible women who come to the study hospitals each working day | 12 month |
| Measure | Description | Time Frame |
|---|---|---|
| proportion of early stage diagnosis among suspecious breast lesions | This is the proportion of early-stage disease among total suspicious breast lesions identified. Tumors will be categorized according to the American Joint Committee on Cancer staging manual, 7th edition. All clinical, investigative, and intraoperative findings will be used to stage the disease. Stage 1 (T1N0); stage 2 (IIA=T0N1, T1N1 &T2N0, IIB= T2N1& T3N0,) and stage 3 (IIIA=T0N2, T1N2, T2N2, T3N1&T3N2, IIIB=T4N0, T4N1, T4N2, IIIC= Any T N3) and stage 4 (any T any N and M1). Stage III and IV disease will be defined as 'late stages', and stage I and II disease will be defined as 'early stage' disease |
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Inclusion Criteria:
Exclusion Criteria:
Women screened for breast cancer in the past year
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Primary and secondary health care facilities from four sub-Saharan African countries that make up the Network for Oncology Research in Africa (NORA) consortium: Ethiopia, South Africa, Nigeria, and Tanzania. | Addis Ababa | Addis Ababa | 9086 | Ethiopia |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30241228 | Background | Pace LE, Dusengimana JV, Keating NL, Hategekimana V, Rugema V, Bigirimana JB, Costas-Chavarri A, Umwizera A, Park PH, Shulman LN, Mpunga T. Impact of Breast Cancer Early Detection Training on Rwandan Health Workers' Knowledge and Skills. J Glob Oncol. 2018 Sep;4:1-10. doi: 10.1200/JGO.17.00098. | |
| 23045540 | Background |
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The data for this study will be shared based on a reasonable request to the principal investigator of the study
From March 21, 2026 to March 22, 2027
The data in this study are available from the principal investigator upon reasonable request.
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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| Institute of Human Virology, Nigeria |
| OTHER |
An implementation mapping based pilot study will be conducted which is a process framework that provides a systematic, five-step approach to select and evaluate implementation strategies to bring an evidence-based intervention. This design includes: 1) conducting a needs assessment, (2) identify adoption and implementation outcomes, performance objectives, performance determinants, and change objectives), (3) select & design implementation strategies, (4) produce implementation protocols and materials and (5) evaluate implementation outcomes (1). The RE-AIM framework will also be used to evaluate the implementation process and outcome. It is a comprehensive model designed to evaluate and enhance the impact of health interventions, by considering individual and organizational factors that influence the success of health interventions
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|
| 12 month |
| Time to treatment initiation | The time from pathological diagnosis to initiation of the first breast cancer treatment if < 30 days, it is considered as short interval and if ≥30 days, it is considered as long interval | 12 month |
| Hoffman HJ, LaVerda NL, Young HA, Levine PH, Alexander LM, Brem R, Caicedo L, Eng-Wong J, Frederick W, Funderburk W, Huerta E, Swain S, Patierno SR. Patient navigation significantly reduces delays in breast cancer diagnosis in the District of Columbia. Cancer Epidemiol Biomarkers Prev. 2012 Oct;21(10):1655-63. doi: 10.1158/1055-9965.EPI-12-0479. |
| 40207740 | Background | Rabe F, Getachew S, Stroetmann CY, Mezger NCS, Gebremariam TY, Berhane B, Mremi A, Mmbaga BT, Boucheron P, McCormack V, Santos P, Addissie A, Kantelhardt EJ. Time to pathologic diagnosis of suspicious breast lesions: An institution-based study in five Ethiopian hospitals. Int J Cancer. 2025 Sep 1;157(5):876-889. doi: 10.1002/ijc.35436. Epub 2025 Apr 10. |
| 30682003 | Background | Rohsig V, Silva P, Teixeira R, Lorenzini E, Maestri R, Saraiva T, Souza A. Nurse Navigation Program: Outcomes From a Breast Cancer Center in Brazil. Clin J Oncol Nurs. 2019 Feb 1;23(1):E25-E31. doi: 10.1188/19.CJON.E25-E31. |
| 35941401 | Background | Khanna AS, Brickman B, Cronin M, Bergeron NQ, Scheel JR, Hibdon J, Calhoun EA, Watson KS, Strayhorn SM, Molina Y. Patient Navigation Can Improve Breast Cancer Outcomes among African American Women in Chicago: Insights from a Modeling Study. J Urban Health. 2022 Oct;99(5):813-828. doi: 10.1007/s11524-022-00669-9. Epub 2022 Aug 8. |
| 21862730 | Background | Sankaranarayanan R, Ramadas K, Thara S, Muwonge R, Prabhakar J, Augustine P, Venugopal M, Anju G, Mathew BS. Clinical breast examination: preliminary results from a cluster randomized controlled trial in India. J Natl Cancer Inst. 2011 Oct 5;103(19):1476-80. doi: 10.1093/jnci/djr304. Epub 2011 Aug 23. |
| 27536182 | Background | Provencher L, Hogue JC, Desbiens C, Poirier B, Poirier E, Boudreau D, Joyal M, Diorio C, Duchesne N, Chiquette J. Is clinical breast examination important for breast cancer detection? Curr Oncol. 2016 Aug;23(4):e332-9. doi: 10.3747/co.23.2881. Epub 2016 Aug 12. |
| 25841594 | Background | Fuller MS, Lee CI, Elmore JG. Breast cancer screening: an evidence-based update. Med Clin North Am. 2015 May;99(3):451-68. doi: 10.1016/j.mcna.2015.01.002. Epub 2015 Mar 5. |
| 33691141 | Background | Anderson BO, Ilbawi AM, Fidarova E, Weiderpass E, Stevens L, Abdel-Wahab M, Mikkelsen B. The Global Breast Cancer Initiative: a strategic collaboration to strengthen health care for non-communicable diseases. Lancet Oncol. 2021 May;22(5):578-581. doi: 10.1016/S1470-2045(21)00071-1. Epub 2021 Mar 7. No abstract available. |
| 20029968 | Background | Dye TD, Bogale S, Hobden C, Tilahun Y, Hechter V, Deressa T, Bize M, Reeler A. Complex care systems in developing countries: breast cancer patient navigation in Ethiopia. Cancer. 2010 Feb 1;116(3):577-85. doi: 10.1002/cncr.24776. |
| 36940294 | Background | Trabitzsch J, Wondimagegnehu A, Afework T, Stoeter O, Gizaw M, Getachew S, Feyisa JD, Taylor L, Wienke A, Addissie A, Kantelhardt EJ. Pathways and Referral of Patients with Cancer in Rural Ethiopia: A Multi-center Retrospective Cohort Study. Oncologist. 2023 Jun 2;28(6):e359-e368. doi: 10.1093/oncolo/oyad032. |
| 36877683 | Background | Shita A, Yalew AW, Seife E, Afework T, Tesfaw A, Gufue ZH, Rabe F, Taylor L, Kantelhardt EJ, Getachew S. Survival and predictors of breast cancer mortality in South Ethiopia: A retrospective cohort study. PLoS One. 2023 Mar 6;18(3):e0282746. doi: 10.1371/journal.pone.0282746. eCollection 2023. |
| 33536135 | Background | Tesfaw A, Getachew S, Addissie A, Jemal A, Wienke A, Taylor L, Kantelhardt EJ. Late-Stage Diagnosis and Associated Factors Among Breast Cancer Patients in South and Southwest Ethiopia: A Multicenter Study. Clin Breast Cancer. 2021 Feb;21(1):e112-e119. doi: 10.1016/j.clbc.2020.08.011. Epub 2020 Oct 1. |
| 31087650 | Background | Joko-Fru WY, Miranda-Filho A, Soerjomataram I, Egue M, Akele-Akpo MT, N'da G, Assefa M, Buziba N, Korir A, Kamate B, Traore C, Manraj S, Lorenzoni C, Carrilho C, Hansen R, Finesse A, Somdyala N, Wabinga H, Chingonzoh T, Borok M, Chokunonga E, Liu B, Kantelhardt E, McGale P, Parkin DM. Breast cancer survival in sub-Saharan Africa by age, stage at diagnosis and human development index: A population-based registry study. Int J Cancer. 2020 Mar 1;146(5):1208-1218. doi: 10.1002/ijc.32406. Epub 2019 Jun 14. |
| 39028722 | Background | Geremew H, Golla EB, Simegn MB, Abate A, Ali MA, Kumbi H, Wondie SG, Mengstie MA, Tilahun WM. Late-stage diagnosis: The driving force behind high breast cancer mortality in Ethiopia: A systematic review and meta-analysis. PLoS One. 2024 Jul 19;19(7):e0307283. doi: 10.1371/journal.pone.0307283. eCollection 2024. |
| 38572751 | Background | Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, Jemal A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024 May-Jun;74(3):229-263. doi: 10.3322/caac.21834. Epub 2024 Apr 4. |
| D017437 |
| Skin and Connective Tissue Diseases |