Improving follow-up care for cancer patients

2013 ◽  
Vol 24 (3) ◽  
pp. 128-132
Author(s):  
Julia Ozdilli ◽  
Anne Wilkinson ◽  
Gilmour Frew
2020 ◽  
Vol 16 (32) ◽  
pp. 2635-2643
Author(s):  
Samantha L Freije ◽  
Jordan A Holmes ◽  
Saleh Rachidi ◽  
Susannah G Ellsworth ◽  
Richard C Zellars ◽  
...  

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.


2011 ◽  
Vol 49 ◽  
pp. S56
Author(s):  
J. Flanagan ◽  
M. Goodson ◽  
R. Banks ◽  
A. Burns

Author(s):  
Kalpdrum Passi ◽  
Hongtao Zhao

This paper offers insights into evolving a decision support system (DSS) to aid primary care physicians and/or nurses in the post-surgical care of patients with Colorectal Cancer in a clinical setting. Presently, the oncologists in the cancer center, who are familiar with the Clinical Practice Guidelines (CPGs), are primarily responsible for the provision of follow-up care to their patients on the basis of the CPGs; in contrast, the attending primary care physician and/or nurse assisting the oncologist may be unfamiliar with these guidelines. These caregivers would, therefore, either require hardcopies of the CPGs or can be aided via a DSS for them to be able to provide the appropriate follow-up care for the respective cancer patients. Clearly, the Colorectal Cancer follow-up CPGs have to be analyzed and the ontology representing the knowledge embedded in the guidelines designed prior to realizing such a DSS. The designed ontology is often coded into Web Ontology Language (OWL) as a standard ontology that can be accessed through the Web. The authors' research team designed and presented the semantic framework of the web application, using the designed ontology that combines the current Web technology with database storage to achieve a unified development of the DSS. The authors also designed a user-friendly interface of the Web application to provide medical practitioners the functionality of the CPGs and the flexibility to customize the desired follow-up care schedule. The resulting DSS provides the physicians with follow-up program for the Colorectal Cancer patients based on the CPGs. The system was built using the semantic framework for the follow-up program and queries on the system are executed through SPARQL query engine.


2019 ◽  
Vol 17 (3.5) ◽  
pp. QIM19-124
Author(s):  
Dayna Crawford ◽  
Brook Blackmore ◽  
Jeremy Ortega ◽  
Erica Williams

Background: Colon cancer is the 3rd most common cancer in men and women combined, with an occurrence rate of 4.49% for men and 4.15% for women. The 2018 expectation is 50,630 deaths related to colon cancer in the United States (American Cancer Society Facts and Figures 2018). Early detection is increasing with nearly 45% of colon cancers diagnosed as stage I/II (Sarah Cannon Cancer Registry 2015). Treatment for early stage I/II colon cancer patients usually involves surgery then surveillance. On-site navigators perform their duties by patient need and barriers to care. Late stage III/IV colon cancer patients require more assistance and face more barriers, which often leaves early stage I/II patients without an advocate. This disparity can lead to lower rates of follow-up care for early stage I/II patients. Sarah Cannon created a program for virtual colon navigation (VCN) to determine if early stage I/II patients benefit from a virtual navigator who offers support by phone throughout their disease process. Objectives: The goal was to increase early stage I/II patients’ knowledge of their cancer and convey the importance of compliance with follow-up care, such as repeat colonoscopy as recommended by their physician and NCCN Guidelines. Methods: By developing software that utilizes artificial intelligence, Sarah Cannon created an automated process to identify colon cancer patients at the time of diagnosis. This technology then routes positive pathology reports to a VCN who contacts the early stage I/II patients by telephone, ensuring patient connection to the suitable physician for treatment. The VCN helps patients understand their diagnosis, provides education, assesses barriers to care, connects to resources, provides emotional support, and offers assistance with follow-up for physician visits, imaging and procedures such as colonoscopies, based upon NCCN Guidelines and physician guidelines. The VCN also connects stage III/IV patients with an on-site navigator in their region for more hands-on navigation. Results: Through September 2018, Sarah Cannon navigated 734 colon cancers, 332 stage I/II and 402 stage III/IV. With our increased capacity, Sarah Cannon/HCA maintained a 98% rate of follow-up care with new diagnoses of all stages of colon cancer. Conclusions: The VCN program allowed Sarah Cannon/HCA to improve care continuity and compliance based upon NCCN Guidelines for early stage I/II colon cancer patients throughout 5 regions and 37 facilities.


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