Literature DB >> 34186305

Lung Cancer Strategist Program: A novel care delivery model to improve timeliness of diagnosis and treatment in high-risk patients.

William W Phillips1, Jessica Copeland1, Sophie C Hofferberth2, Julee R Armitage1, Sam Fox2, Margaret Kruithoff2, Claire de Forcrand2, Paul J Catalano3, Christopher S Lathan4, Joel S Weissman5, David D Odell6, Yolonda L Colson7.   

Abstract

INTRODUCTION: The diagnosis and treatment of lung cancer is challenged by complex diagnostic pathways and fragmented care that can lead to care disparities for vulnerable patients.
METHODS: A multi-institutional, multidisciplinary conference was convened to address the complexity of lung cancer care particularly in patients at high-risk for treatment delay. The resulting care delivery model, called the Lung Cancer Strategist Program (LCSP), was led by a thoracic-trained advanced practice provider (APP) with emphasis on expedited surgery and early oncologic consultation in the assessment of a newly diagnosed suspicious lung nodule. We performed a retrospective review to evaluate care efficiency and oncologic outcomes in the first 100 LCSP patients compared to 100 concurrent patients managed via routine surgical referral.
RESULTS: In the 78 LCSP and 41 routine referral patients managed via nodule surveillance, LCSP patients had a shorter time from suspicious finding to work-up (3 vs. 26 days, p < 0.001) and to surveillance decision (12.5 vs. 39 days, p < 0.001). In the 22 LCSP and 59 routine referral patients treated for intrathoracic malignancy, LCSP patients had fewer hospital visits (4 vs 6, p < 0.001), clinicians seen (1.5 vs. 2, p = 0.08), and diagnostic studies (4 vs 5, p = 0.01) with a shorter time to diagnosis (30.5 vs. 48 days, p = 0.02) and treatment (40.5 vs. 68.5 days, p = 0.02).
CONCLUSIONS: Patient triage through a thoracic-trained APP in consultation with surgical, medical, and radiation oncology facilitates rapid assessment of benign versus malignant lesions with reduced time to diagnosis and treatment, even among patients at high-risk for treatment delay.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Lung nodule screening; Multidisciplinary team; Thoracic surgeon; Vulnerable patient populations

Mesh:

Year:  2021        PMID: 34186305      PMCID: PMC8453117          DOI: 10.1016/j.hjdsi.2021.100563

Source DB:  PubMed          Journal:  Healthc (Amst)        ISSN: 2213-0764


  28 in total

1.  Factors determining early adherence to a lung cancer screening protocol.

Authors:  U Montes; L M Seijo; A Campo; A B Alcaide; G Bastarrika; J J Zulueta
Journal:  Eur Respir J       Date:  2007-06-13       Impact factor: 16.671

2.  Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017.

Authors:  Heber MacMahon; David P Naidich; Jin Mo Goo; Kyung Soo Lee; Ann N C Leung; John R Mayo; Atul C Mehta; Yoshiharu Ohno; Charles A Powell; Mathias Prokop; Geoffrey D Rubin; Cornelia M Schaefer-Prokop; William D Travis; Paul E Van Schil; Alexander A Bankier
Journal:  Radiology       Date:  2017-02-23       Impact factor: 11.105

3.  Nationwide quality improvement in lung cancer care: the role of the Danish Lung Cancer Group and Registry.

Authors:  Erik Jakobsen; Anders Green; Kell Oesterlind; Torben Riis Rasmussen; Maria Iachina; Torben Palshof
Journal:  J Thorac Oncol       Date:  2013-10       Impact factor: 15.609

4.  Neighborhood-level socioeconomic determinants impact outcomes in nonsmall cell lung cancer patients in the Southeastern United States.

Authors:  Loretta Erhunmwunsee; Mary-Beth M Joshi; Debbi H Conlon; David H Harpole
Journal:  Cancer       Date:  2012-03-05       Impact factor: 6.860

5.  Impact of a multidisciplinary thoracic oncology clinic on the timeliness of care.

Authors:  Richard F Riedel; Xiaofei Wang; Meg McCormack; Eric Toloza; Gustavo S Montana; Gilbert Schreiber; Michael J Kelley
Journal:  J Thorac Oncol       Date:  2006-09       Impact factor: 15.609

6.  Breast cancer among the oldest old: tumor characteristics, treatment choices, and survival.

Authors:  Mara A Schonberg; Edward R Marcantonio; Donglin Li; Rebecca A Silliman; Long Ngo; Ellen P McCarthy
Journal:  J Clin Oncol       Date:  2010-03-22       Impact factor: 44.544

7.  Cancer-related mortality in people with mental illness.

Authors:  Stephen Kisely; Elizabeth Crowe; David Lawrence
Journal:  JAMA Psychiatry       Date:  2013-02       Impact factor: 21.596

8.  Patient navigation improves cancer diagnostic resolution: an individually randomized clinical trial in an underserved population.

Authors:  Peter C Raich; Elizabeth M Whitley; William Thorland; Patricia Valverde; Diane Fairclough
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10       Impact factor: 4.254

9.  Social factors, treatment, and survival in early-stage non-small cell lung cancer.

Authors:  H P Greenwald; N L Polissar; E F Borgatta; R McCorkle; G Goodman
Journal:  Am J Public Health       Date:  1998-11       Impact factor: 9.308

10.  Socioeconomic and Racial/Ethnic Disparities in Cancer Mortality, Incidence, and Survival in the United States, 1950-2014: Over Six Decades of Changing Patterns and Widening Inequalities.

Authors:  Gopal K Singh; Ahmedin Jemal
Journal:  J Environ Public Health       Date:  2017-03-20
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  1 in total

Review 1.  A systematic review of interventions to recognise, refer and diagnose patients with lung cancer symptoms.

Authors:  Mohamad M Saab; Megan McCarthy; Michelle O'Driscoll; Laura J Sahm; Patricia Leahy-Warren; Brendan Noonan; Serena FitzGerald; Maria O'Malley; Noreen Lyons; Heather E Burns; Una Kennedy; Áine Lyng; Josephine Hegarty
Journal:  NPJ Prim Care Respir Med       Date:  2022-10-18       Impact factor: 3.289

  1 in total

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