METHOD: In-depth interviews (IDIs) will be conducted with Malaysian healthcare providers and cancer survivors and findings will be analysed thematically. The insights will be used in a subsequent phase to co-design a guideline to maintain the delivery of quality cancer care in Malaysia via a three-round modified Delphi survey with a broad range of cancer stakeholders.
EXPECTED RESULTS: Findings derived from IDIs and existing literature will be included for rating across three rounds by the expert panel. Feedback provided will be refined until consensus on the best practises for cancer care continuity during crises is achieved.
CONCLUSION: The output of the present study is not only expected to ensure the continuity of delivery of high-quality cancer care in Malaysia during the ongoing pandemic but also to be adapted during unforeseen crises in the near future.
POLICY SUMMARY STATEMENT: Collaborative work between policy makers, public health physicians, members of the multidisciplinary oncology team as well as cancer survivors is vital in developing an evidenced- based contingency plan for maintaining access to cancer care.
METHODS: We used process mining, a data analytics technique, to create maps of the patient pathways. We then compared the waiting times and pathways between patients who initially consulted a private service versus those who sought care at a public health service. Finally, we conducted scenario modelling to estimate the impact of early diagnosis and treatment on patient survival.
RESULTS: Our study revealed a common pathway followed by breast cancer patients treated at the two largest public cancer centres in Mexico City. However, patients who initially sought care in private clinics experienced shorter mean wait times for their first medical consultation (66 vs 88 days), and diagnostic confirmation of cancer (57 vs 71 days) compared to those who initially utilized public clinics. Our scenario modelling indicated that improving early diagnosis to achieve at least 60% of patients starting treatment at early stages could increase mean patient survival by up to two years.
CONCLUSION: Our study highlights the potential of process mining to inform healthcare policy for improvement of breast cancer care in Mexico. Also, our findings indicate that reducing diagnostic and treatment intervals for breast cancer patients could result in substantially better patient outcomes.
POLICY SUMMARY: This study revealed significant differences in time intervals along the pathways of women with breast cancer according to the type of health service first consulted by the patients: whether public primary care clinics or private doctors. Policies directed to reduce these inequities in access to timely cancer care are desperately needed to reduce socioeconomic disparities in breast cancer survival.