Identifying delays in care for patients with NSCLC using value-stream mapping.

Authors

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Chad W. Cummings

Cleveland Clinic Foundation, Cleveland, OH

Chad W. Cummings, Becky Habecker, Katherine Tullio, Andrew Rothacker, Nathan A. Pennell, Gregory M.M. Videtic, Daniel Raymond, Peter J. Mazzone, Alison Ibsen

Organizations

Cleveland Clinic Foundation, Cleveland, OH, Cleveland Clinic, Cleveland, OH, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH

Research Funding

Other

Background: Value-Stream Mapping (VSM) was employed to evaluate non-value added activities focused on minimizing time between pathological diagnosis and first treatment (Time-To-Treat or TTT). Objective is to identify unnecessary delays in care for NSLC patients treated at a large academic medical center. Methods: A total of 253 patient records were examined between 1/15/2015 and 7/19/2016 and divided into stages: Stage I (Non-Surgical), Stage I-II (Surgical), Stage III, and Stage IV. Selection criteria required a min. of 50 patients/stage, including internally and externally diagnosed patients. A VSM was developed for each stage. Spreadsheets were used to detail dates and sequences of events, including consults, E&M visits, imaging, procedures, and testing. Results: Overall TTT results by stage (median days) are as follows: Stage I (Non-Surgical) = 46 days (n = 55), Stage I-II (Surgical) = 35 days, n = 50), Stage III = 34 days (n = 71), Stage IV = 19 days (n = 77). Consults were reviewed among 4 specialties (Med/Onc, Rad/Onc, Surgical, Pulmonary), revealing Pulmonary Consults most common regardless of stage, 38%, 40%, 49%, 29%, respectively. It was found consults among specialties were rarely coordinated (stage III: 11/70 patients had consults same day between 2 specialties). Bronchoscopy procedures were most common method of Dx; sampling (n = 60, all stages) revealed MD orders are placed within 1 median day for each stage (15% ≥ 5days), but lead time to procedure ranged 7-12 median days depending on stage. Comorbidities for surgical patients (n = 46) were reviewed and found TTT delays correlates with number of comorbidities and FEV1 test results. Interventions included weekly, multi-disciplinary identification and review of patients across the 4 specialties, development of a TTT visual dashboard, and creation of communication standards across specialties. Conclusions: A VSM will identify areas where excessive delays occur. Opportunities exist to combine activities (same-day appointments/consults), reduce delays between activities, and/or improve communication. Decision-making can be accelerated when time between events (consults, staging, procedures, and tests) is minimized, regardless of diagnosis origin.

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Abstract Details

Meeting

2018 ASCO Quality Care Symposium

Session Type

Poster Session

Session Title

Poster Session A: Big Data Studies; Projects Relating to Equity, Value, and Policy

Track

Projects Relating to Equity, Value and Policy,Big Data Studies

Sub Track

Team-based Approaches to Optimizing Care Delivery

Citation

J Clin Oncol 36, 2018 (suppl 30; abstr 136)

DOI

10.1200/JCO.2018.36.30_suppl.136

Abstract #

136

Poster Bd #

N6

Abstract Disclosures

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