Utilisation and impact of predict prostate on decision‐making among clinicians and patients in a specialist tertiary referral centre: A retrospective cohort study
Abstract Background Patients with intermediate‐risk prostate cancer are faced with the decision of whether to undergo radical treatment. Decision‐making aids, such as Predict Prostate, can empower both clinicians and patients to make treatment decisions with personalised information, but their impac...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-04-01
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| Series: | BJUI Compass |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/bco2.311 |
| _version_ | 1797205877409710080 |
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| author | Madhumitha Pandiaraja Isolde Pryle Leah West Lucy Gardner Olivia Shallcross June Tay Nimish Shah Vincent Gnanapragasam Benjamin W. Lamb |
| author_facet | Madhumitha Pandiaraja Isolde Pryle Leah West Lucy Gardner Olivia Shallcross June Tay Nimish Shah Vincent Gnanapragasam Benjamin W. Lamb |
| author_sort | Madhumitha Pandiaraja |
| collection | DOAJ |
| description | Abstract Background Patients with intermediate‐risk prostate cancer are faced with the decision of whether to undergo radical treatment. Decision‐making aids, such as Predict Prostate, can empower both clinicians and patients to make treatment decisions with personalised information, but their impact on multi‐disciplinary team (MDT) decision‐making and uptake of radical treatment remains unknown. Objective The objective of this study is to assess the utilisation and utility of Predict Prostate in informing treatment decisions for patients with intermediate‐risk prostate cancer. Patients and Methods A retrospective cohort study was conducted in Cambridge University Hospitals (CUH) of patients referred to the prostate cancer specialist multi‐disciplinary team (pcSMDT) and robotic prostatectomy clinic (ROPD) between September 2019 and August 2021 for consideration of radical prostatectomy (RARP). Data on patient characteristics, use of PredictProstate and management decisions were collected from the Epic electronic medical record (EMR) of 839 patients, of whom 386 had intermediate‐risk prostate cancer. Results The use of Predict Prostate at the pcSMDT increased in the second half of the study period (34.5% vs. 23.8%, p < 0.001). The use of Predict Prostate was associated with an increased likelihood of attending ROPD for men with CPG2 prostate cancer (OR = 2.155, 95% CI = 1.158–4.013, p = 0.015) but a reduced likelihood of proceeding with RARP for men with CPG2 (OR = 0.397, 95% CI = 0.209–0.753, p = 0.005) and CPG3 (OR = 0.305, 95% CI = 0.108–0.861, p = 0.025) prostate cancer. Conclusion Our study showed that the use of Predict Prostate for patients with intermediate‐risk prostate cancer is associated with increased attendance at specialist surgical clinic and a reduced chance of undergoing radical prostate surgery. |
| first_indexed | 2024-04-24T08:58:06Z |
| format | Article |
| id | doaj.art-ef945d10aee54b2da8e5d2485fac9cb3 |
| institution | Directory Open Access Journal |
| issn | 2688-4526 |
| language | English |
| last_indexed | 2024-04-24T08:58:06Z |
| publishDate | 2024-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | BJUI Compass |
| spelling | doaj.art-ef945d10aee54b2da8e5d2485fac9cb32024-04-16T06:04:54ZengWileyBJUI Compass2688-45262024-04-015448949610.1002/bco2.311Utilisation and impact of predict prostate on decision‐making among clinicians and patients in a specialist tertiary referral centre: A retrospective cohort studyMadhumitha Pandiaraja0Isolde Pryle1Leah West2Lucy Gardner3Olivia Shallcross4June Tay5Nimish Shah6Vincent Gnanapragasam7Benjamin W. Lamb8School of Clinical Medicine University of Cambridge Cambridge UKSchool of Clinical Medicine University of Cambridge Cambridge UKSchool of Clinical Medicine University of Cambridge Cambridge UKSchool of Clinical Medicine University of Cambridge Cambridge UKDepartment of Urology Cambridge University Hospitals NHS Foundation Trust Cambridge UKDepartment of Urology Cambridge University Hospitals NHS Foundation Trust Cambridge UKDepartment of Urology Cambridge University Hospitals NHS Foundation Trust Cambridge UKDepartment of Urology Cambridge University Hospitals NHS Foundation Trust Cambridge UKDepartment of Urology Barts Health NHS Trust London UKAbstract Background Patients with intermediate‐risk prostate cancer are faced with the decision of whether to undergo radical treatment. Decision‐making aids, such as Predict Prostate, can empower both clinicians and patients to make treatment decisions with personalised information, but their impact on multi‐disciplinary team (MDT) decision‐making and uptake of radical treatment remains unknown. Objective The objective of this study is to assess the utilisation and utility of Predict Prostate in informing treatment decisions for patients with intermediate‐risk prostate cancer. Patients and Methods A retrospective cohort study was conducted in Cambridge University Hospitals (CUH) of patients referred to the prostate cancer specialist multi‐disciplinary team (pcSMDT) and robotic prostatectomy clinic (ROPD) between September 2019 and August 2021 for consideration of radical prostatectomy (RARP). Data on patient characteristics, use of PredictProstate and management decisions were collected from the Epic electronic medical record (EMR) of 839 patients, of whom 386 had intermediate‐risk prostate cancer. Results The use of Predict Prostate at the pcSMDT increased in the second half of the study period (34.5% vs. 23.8%, p < 0.001). The use of Predict Prostate was associated with an increased likelihood of attending ROPD for men with CPG2 prostate cancer (OR = 2.155, 95% CI = 1.158–4.013, p = 0.015) but a reduced likelihood of proceeding with RARP for men with CPG2 (OR = 0.397, 95% CI = 0.209–0.753, p = 0.005) and CPG3 (OR = 0.305, 95% CI = 0.108–0.861, p = 0.025) prostate cancer. Conclusion Our study showed that the use of Predict Prostate for patients with intermediate‐risk prostate cancer is associated with increased attendance at specialist surgical clinic and a reduced chance of undergoing radical prostate surgery.https://doi.org/10.1002/bco2.311decision regretpatient counsellingprostate cancerrisk communicationshared decision‐making |
| spellingShingle | Madhumitha Pandiaraja Isolde Pryle Leah West Lucy Gardner Olivia Shallcross June Tay Nimish Shah Vincent Gnanapragasam Benjamin W. Lamb Utilisation and impact of predict prostate on decision‐making among clinicians and patients in a specialist tertiary referral centre: A retrospective cohort study BJUI Compass decision regret patient counselling prostate cancer risk communication shared decision‐making |
| title | Utilisation and impact of predict prostate on decision‐making among clinicians and patients in a specialist tertiary referral centre: A retrospective cohort study |
| title_full | Utilisation and impact of predict prostate on decision‐making among clinicians and patients in a specialist tertiary referral centre: A retrospective cohort study |
| title_fullStr | Utilisation and impact of predict prostate on decision‐making among clinicians and patients in a specialist tertiary referral centre: A retrospective cohort study |
| title_full_unstemmed | Utilisation and impact of predict prostate on decision‐making among clinicians and patients in a specialist tertiary referral centre: A retrospective cohort study |
| title_short | Utilisation and impact of predict prostate on decision‐making among clinicians and patients in a specialist tertiary referral centre: A retrospective cohort study |
| title_sort | utilisation and impact of predict prostate on decision making among clinicians and patients in a specialist tertiary referral centre a retrospective cohort study |
| topic | decision regret patient counselling prostate cancer risk communication shared decision‐making |
| url | https://doi.org/10.1002/bco2.311 |
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