Literature DB >> 28260402

Cost and Survival Analysis Before and After Implementation of Dana-Farber Clinical Pathways for Patients With Stage IV Non-Small-Cell Lung Cancer.

David M Jackman1, Yichen Zhang1, Carole Dalby1, Tom Nguyen1, Julia Nagle1, Christine A Lydon1, Michael S Rabin1, Kristen K McNiff1, Belen Fraile1, Joseph O Jacobson1.   

Abstract

PURPOSE: Increasing costs and medical complexity are significant challenges in modern oncology. We explored the use of clinical pathways to support clinical decision making and manage resources prospectively across our network.
MATERIALS AND METHODS: We created customized lung cancer pathways and partnered with a commercial vendor to provide a Web-based platform for real-time decision support and post-treatment data aggregation. Dana-Farber Cancer Institute (DFCI) Pathways for non-small cell lung cancer (NSCLC) were introduced in January 2014. We identified all DFCI patients who were diagnosed and treated for stage IV NSCLC in 2012 (before pathways) and 2014 (after pathways). Costs of care were determined for 1 year from the time of diagnosis.
RESULTS: Pre- and postpathway cohorts included 160 and 210 patients with stage IV NSCLC, respectively. The prepathway group had more women but was otherwise similarly matched for demographic and tumor characteristics. The total 12-month cost of care (adjusted for age, sex, race, distance to DFCI, clinical trial enrollment, and EGFR and ALK status) demonstrated a $15,013 savings after the implementation of pathways ($67,050 before pathways v $52,037 after pathways). Antineoplastics were the largest source of cost savings. Clinical outcomes were not compromised, with similar median overall survival times (10.7 months before v 11.2 months after pathways; P = .08).
CONCLUSION: After introduction of a clinical pathway in metastatic NSCLC, cost of care decreased significantly, with no compromise in survival. In an era where comparative outcomes analysis and value assessment are increasingly important, the implementation of clinical pathways may provide a means to coalesce and disseminate institutional expertise and track and learn from care decisions.

Entities:  

Mesh:

Year:  2017        PMID: 28260402     DOI: 10.1200/JOP.2017.021741

Source DB:  PubMed          Journal:  J Oncol Pract        ISSN: 1554-7477            Impact factor:   3.840


  24 in total

1.  Use of High-Cost Cancer Treatments in Academic and Nonacademic Practice.

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Review 2.  Association Between Spending and Outcomes for Patients With Cancer.

Authors:  Meng Li; Darius N Lakdawalla; Dana P Goldman
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3.  Impact of Guideline-Discordant Treatment on Cost and Health Care Utilization in Older Adults with Early-Stage Breast Cancer.

Authors:  Courtney P Williams; Kelly M Kenzik; Andres Azuero; Grant R Williams; Maria Pisu; Karina I Halilova; Stacey A Ingram; Supriya K Yagnik; Andres Forero; Smita Bhatia; Gabrielle B Rocque
Journal:  Oncologist       Date:  2018-08-17

4.  Patient, provider, and nurse preferences of patient reported outcomes (PRO) and side effect management during cancer treatment of underrepresented racial and ethnic minority groups, rural and economically disadvantaged patients: a mixed methods study.

Authors:  Bernard Tawfik; Ellen Burgess; Mikaela Kosich; Shoshana Adler Jaffe; Dolores D Guest; Ursa Brown-Glaberman; V Shane Pankratz; Andrew Sussman
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5.  Prognostic significance of MATR3 in stage I and II non-small cell lung cancer patients.

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6.  Attitudes and access to resources and strategies to improve quality of radiotherapy among US radiation oncologists: A mixed methods study.

Authors:  Y Helen Zhang; Elaine Cha; Kathleen Lynch; Renee Gennarelli; Jeffrey Brower; Michael V Sherer; Daniel W Golden; Susan Chimonas; Deborah Korenstein; Erin F Gillespie
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Review 7.  Expert opinion on NSCLC small specimen biomarker testing - Part 2: Analysis, reporting, and quality assessment.

Authors:  Frédérique Penault-Llorca; Keith M Kerr; Pilar Garrido; Erik Thunnissen; Elisabeth Dequeker; Nicola Normanno; Simon J Patton; Jenni Fairley; Joshua Kapp; Daniëlle de Ridder; Aleš Ryška; Holger Moch
Journal:  Virchows Arch       Date:  2022-07-20       Impact factor: 4.535

8.  "A Tool, Not a Crutch": Patient Perspectives About IBM Watson for Oncology Trained by Memorial Sloan Kettering.

Authors:  Jada G Hamilton; Margaux Genoff Garzon; Joy S Westerman; Elyse Shuk; Jennifer L Hay; Chasity Walters; Elena Elkin; Corinna Bertelsen; Jessica Cho; Bobby Daly; Ayca Gucalp; Andrew D Seidman; Marjorie G Zauderer; Andrew S Epstein; Mark G Kris
Journal:  J Oncol Pract       Date:  2019-01-28       Impact factor: 3.840

Review 9.  Medication overuse in oncology: current trends and future implications for patients and society.

Authors:  Stephen M Schleicher; Peter B Bach; Konstantina Matsoukas; Deborah Korenstein
Journal:  Lancet Oncol       Date:  2018-04       Impact factor: 41.316

10.  Blocking MMP-12-modulated epithelial-mesenchymal transition by repurposing penfluridol restrains lung adenocarcinoma metastasis via uPA/uPAR/TGF-β/Akt pathway.

Authors:  Wen-Yueh Hung; Wei-Jiunn Lee; Guo-Zhou Cheng; Ching-Han Tsai; Yi-Chieh Yang; Tsung-Ching Lai; Ji-Qing Chen; Chi-Li Chung; Jer-Hwa Chang; Ming-Hsien Chien
Journal:  Cell Oncol (Dordr)       Date:  2021-07-28       Impact factor: 6.730

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