METHODS: We established a nurse- and community-navigator-led navigation program in breast clinics of four public hospitals located in Peninsular and East Malaysia and evaluated the impact of navigation on timeliness of diagnosis and treatment.
RESULTS: Patients with breast cancer treated at public hospitals reported facing barriers to accessing care, including having a poor recognition of breast cancer symptoms and low awareness of screening methods, and facing financial and logistics challenges. Compared with patients diagnosed in the previous year, patients receiving navigation experienced timely ultrasound (84.0% v 65.0%; P < .001), biopsy (84.0% v 78.0%; P = .012), communication of news (63.0% v 40.0%; P < .001), surgery (46% v 36%; P = .008), and neoadjuvant therapy (59% v 42%, P = .030). Treatment adherence improved significantly (98.0% v 87.0%, P < .001), and this was consistent across the network of four breast clinics.
CONCLUSION: Patient navigation improves access to timely diagnosis and treatment for women presenting at secondary and tertiary hospitals in Malaysia.
PURPOSE: This systematic review and meta-analysis evaluated the effectiveness of chatbots for providing breast cancer education. By examining patient satisfaction with and the usability and efficacy of chatbot interventions, this study seeks to support the integration of chatbot technology into cancer education.
METHODS: This review, which was conducted in accordance with PRISMA guidelines, included studies from MEDLINE, Embase, and the Cochrane Library up to May 2024. The main inclusion criterion was chatbot interventions for breast cancer education. Meta-analysis was performed using Review Manager and Open Meta-Analyst software.
RESULTS: Of the 208 articles initially identified, 6 studies met the inclusion criteria, involving a total of 1342 women with early-stage or at-risk hereditary breast cancer. The meta-analysis revealed that most participants (85 to 99%) reported high satisfaction with chatbot interventions for breast cancer education, with no significant differences in satisfaction compared to genetic counselors or physicians. The chatbot interventions also showed positive effects on knowledge acquisition (mean proportion = 90.8%) and alleviated patients' symptoms significantly more than routine care.
CONCLUSION: This study demonstrated that chatbots can effectively provide personalized and interactive educational support, enhancing patients' understanding and retention of disease-related information. The integration of chatbot technology into educational programs can empower patients, ultimately promoting breast cancer awareness and prevention.