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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Predictors and impact of survivorship care plans and survivorship care visits
Harish Saiganesh1, Christine Duffy2, Stavroula A Chrysanthopoulou3
1Brown University, 593 Eddy Street, George 302, Providence, RI, 02903, USA. hsg427@gmail.com.
Purpose:
We performed this study to characterize the population at the Lifespan Cancer Institute (LCI) who received a survivorship care plan (SCP) with or without a survivorship care visit (SCV) to determine both the impact on specialty referrals and the demographic and clinical predictors of SCPs and SCVs.
Methods:
We retrospectively reviewed EMR records on 1960 patients at LCI between 2014 and 2017 for SCPs and SCVs and extracted demographics, distress thermometer (DT) scores collected at the time of initial presentation, and subsequent referrals. We evaluated the bivariate associations of SCP and SCV with continuous and categorical factors and assessed the adjusted effect of these factors on receipt of SCP and SCV independently. All analyses were performed in R v4.0.2.
Results:
SCPs were completed in 740 (37.8%) patients, and of those, 65.9% had a SCV. The mean age was 63.9, 67% were female, and 51.2% were married or partnered. Patients treated for breast, lung, and prostate cancers most received an SCP. Compared to SCP alone, the SCV was associated with more specialty referrals. Those who were younger and had breast cancer were more likely to receive a SCP, and those who were younger and female and had breast cancer were more likely to receive a SCV.
Conclusions:
Gender, age, and type of cancer are significant predictors of receipt of SCP and SCV. Patients who received either SCP, SCV, or both were more likely to receive specialty referrals than those who received neither.
Implications For Cancer Survivors:
Identifying predictive factors of SCP and SCV can help facilitate earlier receipt of specialty services and specialty referrals as needed.
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