Charting the endometrial cancer care pathway : a baseline audit
| Autor: | Attard, Jason, Brincat, Mark R., Tanti, Charmaine, Buhagiar, Nicole, Farrugia, Marie Claire, Farrugia, Jean-Claude, Laspina, Stefan, Muscat Baron, Yves, Marmara, Danika |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
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| Popis: | Introduction: Longer waiting times from diagnosis to surgical resection have been found to negatively impact the overall survival and quality of life of women with endometrial cancer. The Cancer Care Pathway Directorate adopted the UK National Waiting Times Monitoring Dataset Guidance, to improve the timeliness of services along the cancer care pathway. From this, three key targets were identified: 1) Maximum 14-day wait from urgent GP referral for suspected cancer to first outpatient attendance (operational standard of 93%), 2) Maximum 31-day wait from decision to treat to first definitive treatment (operational standard of 96%), and 3) Maximum 62-day wait from urgent GP referral for suspected cancer to first treatment (operational standard of 85%). The aim of this baseline audit was to chart the time-frames of the various stages in the endometrial cancer pathway of patients diagnosed with this disease between 2015 and 2016 to assess for and identify delays in referral, investigation and care. -- Methods: A tool was developed following consultation with key stakeholders. Data protection clearance was obtained. Patient medical and oncology files, hospital databases, and MDT documentation for confirmed endometrial cancer cases were reviewed between September 2017 – March 2018. -- Results: A total of 101 endometrial cancer cases were included in the audit. The proportion of cases which met the 14-day, 31-day and 62-day wait KPIs operational standards were 39.1%, 81.2% and 17.2% respectively. -- Conclusion: The endometrial cancer care pathway timeframes did not meet the KPIs operational standards. Fast-track coordinators and nurse navigators could improve continuity and coordination of patient care. peer-reviewed |
| Databáze: | OpenAIRE |
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