Challenges of diagnostic concordance of lung cancer cases in Qualified Clinical Data Registry (QCDR) measure collection by CMS in calculating MACRA's rewards and penalties.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 6604-6604
Author(s):  
Shawn Dana Glisson ◽  
Patricia Anne Goede ◽  
Timothy Craig Allen

6604 Background: QCDR was introduced for the Physician Quality Reporting System (PQRS) beginning in 2014. A QCDR is a CMS-approved entity that collects medical and/or clinical data for the purpose of patient and disease tracking to foster improvement in the quality of care provided to patients. Those who satisfactorily participate in PQRS through a QCDR may avoid the 2018 negative payment adjustment -2.0% of total Medicare payments. PQRS #396 is an example of a measurement by which oncologists may be evaluated. A physician’s QCDR score is determined by his/her numerator and denominator per patient based on total data submitted by various healthcare providers. Methods: IRB approval was obtained for a retrospective review of 60 randomly selected NSCLC pathology reports that were diagnosed at UTMB. The Denominator was determined by CMS to be: The patients were between the ages of 18-75; the diagnosis of NSCLC was coded by the appropriate ICD and CPT codes. The Numerator was determined by CMS to be: Pathology reports with a diagnosis that included pT pN for NSCLC with histologic type vs those not documented for medical reasons vs those specimens that were not of lung origin, or were classified as NSCLC-NOS. Results: The study consisted of 60 NSCLC pathology reports of which 2 were determined in retrospect not to have been lung cancer cases. Another 10 were considered to be incomplete. A final 2 were diagnosed as a different histological lung cancer type. As [60 - (2+10+2)]/60 = 76.67%, adherence to the quality standard was less than perfect even though excellent medical care was delivered. This score puts the institution at risk of a 2% Medicare Payment Reduction in 2018 if a majority of other institutions score even slightly higher. Conclusions: Physician remuneration will be reduced by current information submitted to CMS. As the quality scores will be made public, reputations may be negatively impacted. Coding and billing operations may be hindered in their attempt to accurately submit data to CMS. Healthcare Systems may be less inclined to request outside consults (including NGS) that may provide a different diagnosis that could confuse the QCDR.

2021 ◽  
Vol 28 (3) ◽  
pp. 1946-1956
Author(s):  
Aisha K. Lofters ◽  
Evgenia Gatov ◽  
Hong Lu ◽  
Nancy N. Baxter ◽  
Sara J. T. Guilcher ◽  
...  

Lung cancer is the most common cancer and cause of cancer death in Canada, with approximately 50% of cases diagnosed at stage IV. Sociodemographic inequalities in lung cancer diagnosis have been documented, but it is not known if inequalities exist with respect to immigration status. We used multiple linked health-administrative databases to create a cohort of Ontarians 40–105 years of age who were diagnosed with an incident lung cancer between 1 April 2012 and 31 March 2017. We used modified Poisson regression with robust standard errors to examine the risk of diagnosis at late vs. early stage among immigrants compared to long-term residents. The fully adjusted model included age, sex, neighborhood-area income quintile, number of Aggregated Diagnosis Group (ADG) comorbidities, cancer type, number of prior primary care visits, and continuity of care. Approximately 62% of 38,788 people with an incident lung cancer from 2012 to 2017 were diagnosed at a late stage. Immigrants to the province were no more likely to have a late-stage diagnosis than long-term residents (63.5% vs. 62.0%, relative risk (RR): 1.01 (95% confidence interval (CI): 0.99–1.04), adjusted relative risk (ARR): 1.02 (95% CI: 0.99–1.05)). However, in fully adjusted models, people with more comorbidities were less likely to have a late-stage diagnosis (adjusted relative risk (ARR): 0.82 (95% CI: 0.80–0.84) for those with 10+ vs. 0–5 ADGs). Compared to adenocarcinoma, small cell carcinoma was more likely to be diagnosed at a late stage (ARR: 1.29; 95% CI: 1.27–1.31), and squamous cell (ARR: 0.89; 95% CI: 0.87–0.91) and other lung cancers (ARR: 0.93; 95% CI: 0.91–0.94) were more likely to be diagnosed at an early stage. Men were also slightly more likely to have late-stage diagnosis in the fully adjusted model (ARR: 1.08; 95% CI: 1.05–1.08). Lung cancer in Ontario is a high-fatality cancer that is frequently diagnosed at a late stage. Having fewer comorbidities and being diagnosed with small cell carcinoma was associated with a late-stage diagnosis. The former group may have less health system contact, and the latter group has the lung cancer type most closely associated with smoking. As lung cancer screening programs start to be implemented across Canada, targeted outreach to men and to smokers, increasing awareness about screening, and connecting every Canadian with primary care should be system priorities.


Author(s):  
Gilberto Schwartsmann

Overview: Cancer is now the second leading cause of death in Brazil (after cardiovascular diseases) and a public health problem, with around 500,000 new cases in 2012. Excluding nonmelanoma skin cancer, lung cancer is the second most incident cancer type in men, with 17,210 expected new cases. In women, it is the fifth most incident cancer, with 10,110 expected new cases. The estimated age-adjusted lung cancer mortality rate is about 13/100,000 for men and 5.4/100,000 for women. Lung cancer rates in men increased until the early 1990s and decreased thereafter, especially in the younger population. In contrast, a steady upward trend was observed for women. The positive effects in men were probably due to the successful anti-tobacco campaign conducted in Brazil over the last decades, which led to a decrease in the adult smoking population, from 32% in the early 1980s to 17% in the 2000s. Although the Brazilian National Cancer Institute is strongly committed to providing excellence in multimodality care to cancer patients, limitations in availability and adequate geographic distribution of specialists and well-equipped cancer centers are evident. Major disparities in patient access to proper staging and state-of-the-art treatment still exist. Considering that World Health Organization (WHO) officials estimate that cancer will become the number one cause of death in most developing countries, including Brazil, in the next decades, it is highly recommended for government authorities to implement firm actions to face this tremendous challenge.


2020 ◽  
pp. 743-756
Author(s):  
Julie Wu ◽  
Jordan Bryan ◽  
Samuel M. Rubinstein ◽  
Lucy Wang ◽  
Michele Lenoue-Newton ◽  
...  

PURPOSE Our goal was to identify the opportunities and challenges in analyzing data from the American Association of Cancer Research Project Genomics Evidence Neoplasia Information Exchange (GENIE), a multi-institutional database derived from clinically driven genomic testing, at both the inter- and the intra-institutional level. Inter-institutionally, we identified genotypic differences between primary and metastatic tumors across the 3 most represented cancers in GENIE. Intra-institutionally, we analyzed the clinical characteristics of the Vanderbilt-Ingram Cancer Center (VICC) subset of GENIE to inform the interpretation of GENIE as a whole. METHODS We performed overall cohort matching on the basis of age, ethnicity, and sex of 13,208 patients stratified by cancer type (breast, colon, or lung) and sample site (primary or metastatic). We then determined whether detected variants, at the gene level, were associated with primary or metastatic tumors. We extracted clinical data for the VICC subset from VICC’s clinical data warehouse. Treatment exposures were mapped to a 13-class schema derived from the HemOnc ontology. RESULTS Across 756 genes, there were significant differences in all cancer types. In breast cancer, ESR1 variants were over-represented in metastatic samples (odds ratio, 5.91; q < 10−6). TP53 mutations were over-represented in metastatic samples across all cancers. VICC had a significantly different cancer type distribution than that of GENIE but patients were well matched with respect to age, sex, and sample type. Treatment data from VICC was used for a bipartite network analysis, demonstrating clusters with a mix of histologies and others being more histology specific. CONCLUSION This article demonstrates the feasibility of deriving meaningful insights from GENIE at the inter- and intra-institutional level and illuminates the opportunities and challenges of the data GENIE contains. The results should help guide future development of GENIE, with the goal of fully realizing its potential for accelerating precision medicine.


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.


2020 ◽  
Author(s):  
Thanh-Hung Vo ◽  
Guee-Samg Lee ◽  
Hyung-Jeong Yang ◽  
Sae-Ryung Kang ◽  
In-Jae Oh ◽  
...  

2016 ◽  
Vol 17 (2) ◽  
pp. 229-237 ◽  
Author(s):  
Jennifer Wiler ◽  
Michael Granovsky ◽  
Stephen Cantrill ◽  
Richard Newell ◽  
Arjun Venkatesh ◽  
...  

2021 ◽  
Author(s):  
zhimin yuan ◽  
longhao wang ◽  
songlin hong ◽  
lin li ◽  
ting tang ◽  
...  

Abstract PurposeTo investigate the expression of heat shock protein 90α (HSP90α) in patients with lung cancer and the clinical value of HSP90α and other related markers in the diagnosis of lung cancer.MethodsThe plasma levels of HSP90α and related markers (CEA, NSE, CF211 and ProGRP) were detected in the blood of 560 patients with lung cancer by ELISA (enzyme-linked immunosorbent assay). Groups were divided according to the gender (male/female), age (age≤40, 41<age≤50, 51<age≤60, 61<age≤70 and age>70), types of lung cancer (small-cell, squamous carcinoma, adenocarcinoma, hybrid and other type), staging (Ⅰ, Ⅱ, Ⅲ and Ⅳ) and metastasis (metastasis and non-metastasis) separately. Wilcoxon Mann-Whitney test and Kruskal-Wallis test were used to compare statistical differences between two groups/among the multiple groups for each factor of HSP90α.ResultsNo statistical difference was found in plasma level of HSP90α among different age and gender groups (P> 0.05). In the group divided by lung cancer type, staging and metastasis status, there were statistical differences among different groups in HSP90α level (P< 0.05). R values of HSP90α correlated with other related markers in the diagnosis of lung cancer (P< 0.05). Although HSP90α and other related markers didn’t fit the satisfactory conformance, in terms of the positive rate of diagnosis, it was statistically differences in the diagnostic positive rate between HSP90α and each marker (P< 0.01). Reduced cut-off value of HSP90α in lung cancer can effectively improve the positive rate of diagnosis when combined with other tumor biomarkers.ConclusionsHSP90α has significant clinical value on early screening and diagnosis of lung cancer. The combined application of HSP90α and related markers can improve the positive rate of early diagnosis of lung cancer effectively.


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