Open AccessClinical Pathway and Patient Navigation: Research Protocol on the Appropriateness, Timeliness and Support of Women Diagnosed with Breast Cancer in Abia Stat
Author(s) -
Kelechi Eguzo,
Adegboyega Lawal,
Chukwuemeka Oluoha,
Kingsley Nnah,
Uwemedimbuk Smart Ekanem,
Nancy Onwueyi,
Onyechere Nwokocha
Publication year - 2021
Publication title -
asian pacific journal of cancer care
Language(s) - English
Resource type - Journals
ISSN - 2588-3682
DOI - 10.31557/apjcc.2021.6.3.367-371
Subject(s) - abia , medicine , breast cancer , psychosocial , clinical pathway , multidisciplinary approach , family medicine , health care , qualitative research , referral , population , cancer , nursing , environmental health , psychiatry , agroforestry , palm oil , economics , biology , economic growth , social science , sociology
Background: Breast cancer is the second most common malignancy affecting Nigerian women, and contributes the highest cancer-related mortality in this population. Despite the rising prevalence of breast cancer, Nigerian healthcare professionals do not have adequate resources in screening, diagnosing, treating and follow up of women with breast cancer. The objective of this study was to understand how the development and implementation of a state-wide clinical pathway alongside a patient navigation program will impact the care providers and care receiver (beast cancer patients). Methods: This mixed methods, cross-sectional study will develop and deploy a multidisciplinary clinical pathway focused on breast cancer management. Trained patient navigators will facilitate the implementation of the pathway and to support patients. An electronic medical record system will be deployed to document the use of the pathway. Mixed methods data will be collected periodically, including patient satisfaction, treatment adherence, psychosocial outcomes, and quality of life. Qualitative data will provide contextual details.Anticipated Result and Discussion: This research will potentially structure the management of breast cancer in a way that optimizes available resources while reducing delays in Abia state, Nigeria.