The effect of medical home enrollment on cardiometabolic medication adherence among Medicaid-insured cancer patients.

2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 279-279
Author(s):  
Lisa Spees ◽  
Stephanie B. Wheeler ◽  
Xi Zhou ◽  
Krutika B Amin ◽  
Chris Baggett ◽  
...  

279 Background: Medical homes, developed to increase care coordination among vulnerable patient populations, have been successful in improving outcomes of patients with multiple chronic comorbidities, but have not been evaluated among cancer survivors. We determined the impact of medical home enrollment on adherence to anti-diabetics, anti-lipidemics, and anti-hypertensives among Medicaid patients diagnosed with non-metastatic breast, colorectal, or lung cancer. Methods: Using linked cancer registry and claims data from North Carolina, we included Medicaid-insured adults diagnosed from 2004-2012 with breast, colorectal, or lung cancer who had at least one cardiometabolic condition (i.e., hyperlipidemia, hypertension, and diabetes mellitus). For each cardiometabolic condition, we measured medication adherence using ambulatory proportion of days covered (PDC). We examined the impact of medical home enrollment on PDC across the phases of cancer care (i.e., pre-cancer diagnosis, treatment, and survivorship phases) using a differences-in-differences model. All models adjusted for age, sex, race/ethnicity, dual enrollment, cancer type, comorbidity index, and number of cardiometabolic conditions. Results: We included, respectively, 765, 1079, and 1634 cancer patients with diabetes, hyperlipidemia, and hypertension. Overall, adherence to anti-lipidemics was lower than adherence to anti-diabetics and anti-hypertensives. In the pre-diagnosis phase, mean PDC across all cardiometabolic conditions was slightly lower for cancer patients enrolled in a medical home than those not enrolled in a medical home. However, medication adherence improved 3-5% in the treatment phase and 7% in the survivorship phase for cancer patients in a medical home compared to cancer patients not in a medical home during the pre-diagnosis phase. Conclusions: These results provide evidence that enrollment in a medical home can improve medication adherence, even among vulnerable cancer patients with complex health needs. The medical home model is an effective healthcare system intervention through which to provide better care coordination and improve patient outcomes.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 79-79
Author(s):  
Jenny Jing Xiang ◽  
Alicia Roy ◽  
Christine Summers ◽  
Monica Delvy ◽  
Jessica Lee O'Donovan ◽  
...  

79 Background: Patient-trial matching is a critical step in clinical research recruitment that requires extensive review of clinical data and trial requirements. Prescreening, defined as identifying potentially eligible patients using select eligibility criteria, may streamline the process and increase study enrollment. We describe the real-world experience of implementing a standardized, universal clinical research prescreening protocol within a VA cancer center and its impact on research enrollment. Methods: An IRB approved prescreening protocol was implemented at the VACT Cancer Center in March 2017. All patients with a suspected or confirmed diagnosis of cancer are identified through tumor boards, oncology consults, and clinic lists. Research coordinators perform chart review and manually enter patient demographics, cancer type and stage, and treatment history into a REDCap (Research Electronic Data Capture) database. All clinical trials and their eligibility criteria are also entered into REDCap and updated regularly. REDCap generates real time lists of potential research studies for each patient based on his/her recorded data. The primary oncologist is alerted to a patient’s potential eligibility prior to upcoming clinic visits and thus can plan to discuss clinical research enrollment as appropriate. Results: From March 2017 to December 2020, a total of 2548 unique patients were prescreened into REDCAP. The mean age was 71.5 years, 97.5% were male, and 15.5% were African American. 32.57 % patients had genitourinary cancer, 17.15% had lung cancer, and 46.15% were undergoing malignancy workup. 1412 patients were potentially eligible after prescreening and 556 patients were ultimately enrolled in studies. The number of patients enrolled on therapeutic clinical trials increased after the implementation of the prescreening protocol (35 in 2017, 64 in 2018, 78 in 2019, and 55 in 2020 despite the COVID19 pandemic). Biorepository study enrollment increased from 8 in 2019 to 15 in 2020. The prescreening protocol also enabled 200 patients to be enrolled onto a lung nodule liquid biopsy study from 2017 to 2019. Our prescreening process captured 98.57% of lung cancer patients entered into the cancer registry during the same time period. Conclusions: Universal prescreening streamlined research recruitment operations and was associated with yearly increases in clinical research enrollment at a VA cancer center. Our protocol identified most new lung cancer patients, suggesting that, at least for this malignancy, potential study patients were not missed. The protocol was integral in our program becoming the top accruing VA site for NCI’s National Clinical Trial Network (NCTN) studies since 2019.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6581-6581
Author(s):  
Alexander Qian ◽  
Edmund Qiao ◽  
Vinit Nalawade ◽  
Nikhil V. Kotha ◽  
Rohith S. Voora ◽  
...  

6581 Background: Hospital readmission are associated with unfavorable patient outcomes and increased costs to the healthcare system. Devising interventions to reduce risks of readmission requires understanding patients at highest risk. Cancer patients represent a unique population with distinct risk factors. The purpose of this study was to define the impact of a cancer diagnosis on the risks of unplanned 30-day readmissions. Methods: We identified non-procedural hospital admissions between January through November 2017 from the National Readmission Database (NRD). We included patients with and without a cancer diagnosis who were admitted for non-procedural causes. We evaluated the impact of cancer on the risk of 30-day unplanned readmissions using multivariable mixed-effects logistic regression models. Results: Out of 18,996,625 weighted admissions, 1,685,099 (8.9%) had record of a cancer diagnosis. A cancer diagnosis was associated with an increased risk of readmission compared to non-cancer patients (23.5% vs. 13.6%, p < 0.001). However, among readmissions, cancer patients were less likely to have a preventable readmission (6.5% vs. 12.1%, p < 0.001). When considering the 10 most common causes of initial hospitalization, cancer was associated with an increased risk of readmission for each of these 10 causes (OR range 1.1-2.7, all p < 0.05) compared to non-cancer patients admitted for the same causes. Compared to patients aged 45-64, a younger age was associated with increased risk for cancer patients (OR 1.29, 95%CI [1.24-1.34]) but decreased risk for non-cancer patients (OR 0.65, 95%CI [0.64-0.66]). Among cancer patients, cancer site was the most robust individual predictor for readmission with liver (OR 1.47, 95%CI [1.39-1.55]), pancreas (OR 1.36, 95%CI [1.29-1.44]), and non-Hodgkin’s lymphoma (OR 1.35, 95%CI [1.29-1.42]) having the highest risk compared to the reference group of prostate cancer patients. Conclusions: Cancer patients have a higher risk of 30-day readmission, with increased risks among younger cancer patients, and with individual risks varying by cancer type. Future risk stratification approaches should consider cancer patients as an independent group with unique risks of readmission.


2020 ◽  
Author(s):  
Maria Salvina Signorelli ◽  
Teresa Surace ◽  
Marcello Migliore ◽  
Eugenio Aguglia

Cancer is a leading cause of death worldwide. Literature reports depression and anxiety are the most common psychiatric symptoms in cancer patients. Notably, lung cancer is associated with major depressive disorder in 5–13% of cases. The present article aims to give an overview regarding the impact of mood disorders on the outcomes of patients affected by lung cancer. Our review showed that pharmacological treatment and psychotherapy can be useful to improve the quality of life of patients with lung cancer. Moreover, the treatment of depression and anxiety can be associated with a reduced mortality. In conclusion, it is important to consider psychiatric care as important as other adjuvant oncologic therapies in patients with cancer.


2007 ◽  
Vol 2 (8) ◽  
pp. S850-S851
Author(s):  
Kostas Zarogoulidis ◽  
Efimia Boutsikou ◽  
Theodoros Kontakiotis ◽  
Klio Eleftheriou ◽  
Ellada Eleftheriadou ◽  
...  

2019 ◽  
Vol 7 (1) ◽  
pp. 11-21 ◽  
Author(s):  
Petra Huehnchen ◽  
Antonia van Kampen ◽  
Wolfgang Boehmerle ◽  
Matthias Endres

Abstract Background Neurotoxicity is a frequent side effect of cytotoxic chemotherapy and affects a large number of patients. Despite the high medical need, few research efforts have addressed the impact of cytotoxic agents on cognition (ie, postchemotherapy cognitive impairment; PCCI). One unsolved question is whether individual cytotoxic drugs have differential effects on cognition. We thus examine the current state of research regarding PCCI. Neurological symptoms after targeted therapies and immunotherapies are not part of this review. Methods A literature search was conducted in the PubMed database, and 1215 articles were reviewed for predefined inclusion and exclusion criteria. Thirty articles were included in the systematic review. Results Twenty-five of the included studies report significant cognitive impairment. Of these, 21 studies investigated patients with breast cancer. Patients mainly received combinations of 5-fluorouracil, epirubicin, cyclophosphamide, doxorubicin, and taxanes (FEC/FEC-T). Five studies found no significant cognitive impairment in chemotherapy patients. Of these, 2 studies investigated patients with colon cancer receiving 5-fluorouracil and oxaliplatin (FOLFOX). Independent risk factors for PCCI were patient age, mood alterations, cognitive reserve, and the presence of apolipoprotein E e4 alleles. Conclusions There is evidence that certain chemotherapy regimens cause PCCI more frequently than others as evidenced by 21 out of 23 studies in breast cancer patients (mainly FEC-T), whereas 2 out of 3 studies with colon cancer patients (FOLFOX) did not observe significant changes. Further studies are needed defining patient cohorts by treatment protocol in addition to cancer type to elucidate the effects of individual cytotoxic drugs on cognitive functions.


2017 ◽  
Vol 12 (1) ◽  
pp. S610
Author(s):  
Marko Jakopovic ◽  
Dzubur Fedza ◽  
Lela Bitar ◽  
Ivona Markelić ◽  
Fran Seiwerth ◽  
...  

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