Literature DB >> 32497437

"We Just Never Have Enough Time": Clinician Views of Lung Cancer Screening Processes and Implementation.

Anne C Melzer1,2, Sara E Golden3, Sarah S Ono3, Santanu Datta4, Matthew Triplette5,6, Christopher G Slatore7,8,3.   

Abstract

RATIONALE: Despite a known mortality benefit, lung cancer screening (LCS) implementation has been unexpectedly slow. New programs face barriers to implementation, which may include lack of clinician engagement or beliefs that the intervention is not beneficial.
OBJECTIVE: To evaluate diverse clinician perspectives on their views of LCS and their experience with LCS implementation and processes.
METHODS: We performed a qualitative study of clinicians participating in LCS. Clinicians were drawn from three medical centers, representing diverse specialties and practice settings. All participants practiced at sites with formal lung cancer screening programs. We performed semi-structured interviews with probes designed to elicit opinions of LCS, perceived evidence gaps, and recommendations for improvements. Transcribed interviews were iteratively reviewed and coded using directed content analysis.
RESULTS: Participants (n=24) included LCS coordinators, pulmonologists, physician and non-physician primary care providers (PCPs), a surgeon, and a radiologist. Most clinicians expressed that the evidence supporting LCS was adequate to support clinical adoption, though most PCPs had little direct knowledge and based decisions on local recommendations or endorsement by the US Preventative Services Task Force (USPSTF). Many PCPs endorsed lack of knowledge of eligibility requirements and screening strategy (e.g. annual while eligible). Clinicians with more lung cancer screening knowledge, including several PCPs, identified a number of gaps in the current evidence that tempered enthusiasm, including: unclear ideal screening interval, populations with high cancer risk that do not qualify under USPSTF, indications to stop screening, and the role of serious comorbidities. Support for centralized programs and LCS coordinators was strong, but not uniform. Clinicians were frustrated by time limitations during a patient encounter, costs to the patient, and issues with insurance coverage. Many gaps in informatics support were identified. Clinicians recommended working to improve informatics support, continuing to clarify clinician responsibilities, and working on increasing public awareness of LCS.
CONCLUSIONS: Despite working within programs that have adopted many recommended care processes to support LCS, clinicians identified a number of issues in providing high-quality LCS. Many of these issues are best addressed by improved support of LCS within the electronic health record and continued education of staff and patients.

Entities:  

Year:  2020        PMID: 32497437     DOI: 10.1513/AnnalsATS.202003-262OC

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  6 in total

1.  A Lung Cancer Screening Education Program Impacts both Referral Rates and Provider and Medical Assistant Knowledge at Two Federally Qualified Health Centers.

Authors:  Aamna Akhtar; Ernesto Sosa; Samuel Castro; Melissa Sur; Vanessa Lozano; Gail D'Souza; Sophia Yeung; Jonjon Macalintal; Meghna Patel; Xiaoke Zou; Pei-Chi Wu; Ellen Silver; Jossie Sandoval; Stacy W Gray; Karen L Reckamp; Jae Y Kim; Virginia Sun; Dan J Raz; Loretta Erhunmwunsee
Journal:  Clin Lung Cancer       Date:  2021-12-12       Impact factor: 4.840

2.  Priorities for improvement across cancer and non-cancer related preventive services among rural and non-rural clinicians.

Authors:  Michaela Brtnikova; Jamie L Studts; Elise Robertson; L Miriam Dickinson; Jennifer K Carroll; Alex H Krist; John T Cronin; Russell E Glasgow
Journal:  BMC Prim Care       Date:  2022-09-09

3.  Assessing Information Available for Health Professionals and Potential Participants on Lung Cancer Screening Program Websites: Cross-sectional Study.

Authors:  Rachael H Dodd; Chenyue Zhang; Ashleigh R Sharman; Julie Carlton; Ruijin Tang; Nicole M Rankin
Journal:  JMIR Cancer       Date:  2022-08-30

4.  Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model.

Authors:  Michael T Lu; Vineet K Raghu; Thomas Mayrhofer; Hugo J W L Aerts; Udo Hoffmann
Journal:  Ann Intern Med       Date:  2020-09-01       Impact factor: 51.598

5.  Executive Summary: Screening for Lung Cancer: Chest Guideline and Expert Panel Report.

Authors:  Peter J Mazzone; Gerard A Silvestri; Lesley H Souter; Tanner J Caverly; Jeffrey P Kanne; Hormuzd A Katki; Renda Soylemez Wiener; Frank C Detterbeck
Journal:  Chest       Date:  2021-07-13       Impact factor: 9.410

6.  Screening for Lung Cancer: CHEST Guideline and Expert Panel Report.

Authors:  Peter J Mazzone; Gerard A Silvestri; Lesley H Souter; Tanner J Caverly; Jeffrey P Kanne; Hormuzd A Katki; Renda Soylemez Wiener; Frank C Detterbeck
Journal:  Chest       Date:  2021-07-13       Impact factor: 9.410

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.