Clinical trial · Observational
A Prospective Cohort With Patient Navigation as an Intervention for Breast Cancer Patients
The Journey of Women With Breast Cancer in Mozambique: What is the Best Path? A Prospective Cohort With Patient Navigation as an Intervention to Reduce Treatment Disparities
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The objective of this observational study is to introduce a patient navigation system within the breast cancer unit at Hospital Central de Maputo (MOZ) and gather data to assess the efficacy of patient navigation in enhancing oncological outcomes among this patient cohort. The primary inquiries it seeks to address are as follows: * Can patient navigation reduce the duration (in days) between patient admission and the commencement of treatment? * Does patient navigation influence overall survival rates when juxtaposed with historical cohorts from the local setting? Participants will receive continuous support from a patient navigator starting from admission until the initiation of any oncological treatment.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Neoplasm Malignant Primary | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| patient navigation | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- breast cancer patients under navigation
- description
- breast cancer patients, intervention = patient navigation
- interventionNames
- Other: patient navigation
Primary outcomes (4)
- measure
- time interval between first symptom and first medical consultation
- timeFrame
- 12 months
- description
- time interval (in days) between first symptom and first medical consultation (either at Maputo Central Hospital or any other medical service)
- measure
- time interval between first medical consultation and cancer diagnosis
- timeFrame
- 12 months
- description
- time interval (in days) between first medical consultation (at Maputo Central Hospital) and cancer diagnosis (by any type of biopsy performed at Maputo Central Hospital)
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * female * 18 years and older * will undergo breast cancer treatment at HCM * consent to participate Exclusion Criteria: * male * less than18 years of age * history of other previous malignancies (including breast cancer) * history of breast cancer treatment initiated elsewhere * lack of consent to participate
References
Publications (14)
- BACKGROUNDSung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4. PMID 33538338
- BACKGROUNDLorenzoni CF, Ferro J, Carrilho C, Colombet M, Parkin DM. Cancer in Mozambique: Results from two population-based cancer registries. Int J Cancer. 2020 Sep 15;147(6):1629-1637. doi: 10.1002/ijc.32953. Epub 2020 Mar 18. PMID 32142162
- BACKGROUNDBrandao M, Guisseve A, Bata G, Firmino-Machado J, Alberto M, Ferro J, Garcia C, Zaqueu C, Jamisse A, Lorenzoni C, Piccart-Gebhart M, Leitao D, Come J, Soares O, Gudo-Morais A, Schmitt F, Tulsidas S, Carrilho C, Lunet N. Survival Impact and Cost-Effectiveness of a Multidisciplinary Tumor Board for Breast Cancer in Mozambique, Sub-Saharan Africa. Oncologist. 2021 Jun;26(6):e996-e1008. doi: 10.1002/onco.13643. Epub 2021 Jan 6. PMID 33325595
- BACKGROUNDRosa DD, Bines J, Werutsky G, Barrios CH, Cronemberger E, Queiroz GS, de Lima VCC, Freitas-Junior R, Couto JD, Emerenciano K, Resende H, Crocamo S, Reinert T, Van Eyil B, Neron Y, Dybal V, Lazaretti N, de Cassia Costamilan R, de Andrade DAP, Mathias C, Vacaro GZ, Borges G, Morelle A, Caleffi M, Filho CS, Mano MS, Zaffaroni F, de Jesus RG, Simon SD. The impact of sociodemographic factors and health insurance coverage in the diagnosis and clinicopathological characteristics of breast cancer in Brazil: AMAZONA III study (GBECAM 0115). Breast Cancer Res Treat. 2020 Oct;183(3):749-757. doi: 10.1007/s10549-020-05831-y. Epub 2020 Jul 29. PMID 32728860
- BACKGROUNDSimon SD, Bines J, Werutsky G, Nunes JS, Pacheco FC, Segalla JG, Gomes AJS, Adam Van Eyll BMHR, Gimenes DL, Crocamo S, Freitas-Junior R, Lago LD, Queiroz GS, Jobim de Azevedo S, Rosa DD, Delgado G, Borges GS, Veronica do Nascimento Y, Zaffaroni F, Martinez-Mesa J, Barrios CHE. Characteristics and prognosis of stage I-III breast cancer subtypes in Brazil: The AMAZONA retrospective cohort study. Breast. 2019 Apr;44:113-119. doi: 10.1016/j.breast.2019.01.008. Epub 2019 Feb 2.