Ms. Maame Darkwa

HBSc, HBSc

Affiliations: North York General Hospital

University of Toronto: MHSc Candidate, Translational Research Program, University of Toronto: MHSc Candidate, Translational Research Program

Research Interests:

Women’s’ Reproductive health Mental Health Child psychology and development

Brief Bio:

With her newfound knowledge and experiences from the TRP Program, Maame hopes to tackle issues in reproductive health experienced by women of color in Canada. Maame’s past work alongside a child life specialist at North General hospital has provided her with a firsthand glance into the workings of health care systems and has provided her with a concrete understanding of patient-oriented care. She hopes to find effective ways to create better communication between physicians and women of color to better the overall reproductive health of these women.

Capstone Project:

The Centre for Addiction and Mental Health (CAMH) Bridging Clinic provides essential mental health services to patients newly discharged from the CAMH ED or in-patient units (Building a Bridge to Emergency Care, n.d.). To provide low barrier access to these services, the clinic offers drop-in appointments to patients on a first-come, first-serve basis (The CAMH Bridging Service, 2019). Due to the nature of this model, the amount of time a patient spends waiting to see a clinician can vary greatly. A current state analysis conducted by our team revealed that patients can wait from as little as five minutes up to eight hours. Inefficiencies related to wait times can negatively impact clinicians' satisfaction with the care they provide and is reported to be an issue by both Bridging Clinic patients and staff. Our project aims to reduce the number of inefficiencies clinicians experience related to wait times to improve their satisfaction with the care they provide. Utilizing the principles of Quality Improvement (QI), we will identify, implement, and evaluate specific change ideas or interventions, that address the root causes of inefficiencies related to wait times.

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