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Randall A Oyer



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    MA19 - Looking at PROs in Greater Detail - What Patients Actually Want and Expect (ID 147)

    • Event: WCLC 2019
    • Type: Mini Oral Session
    • Track: Treatment in the Real World - Support, Survivorship, Systems Research
    • Presentations: 1
    • Now Available
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      MA19.07 - Testing an Optimal Care Coordination Model (OCCM) for Lung Cancer in a Multi-Site Study (Now Available) (ID 2659)

      11:30 - 13:00  |  Author(s): Randall A Oyer

      • Abstract
      • Presentation
      • Slides

      Background

      Medicaid-insured lung cancer patients have worse outcomes than others. To address barriers to optimal care in the US Medicaid population, the Association of Community Cancer Centers (ACCC) created and tested the OCCM.

      Method

      The OCCM included 13 assessment areas: Patient Access to Care, Prospective Multidisciplinary Case Planning, Financial/Transportation/Housing, Care Coordination, Electronic Health Records, Survivorship Care, Supportive Care, Tobacco Cessation, and Clinical Trials. Each area had 5 defined levels of quality care delivery. With support from the Bristol-Myers Squibb Foundation, we pilot tested the model in 7 US cancer centers. Sites selected 1-2 assessment areas to evaluate using OCCM, developing relevant data benchmarks. Sites enrolled patients on Medicaid and Non-Medicaid controls. The ACCC team worked with each site to develop quality improvement projects with bi-weekly conference calls and 2 on-site visits. Data were collected and analyzed at a centralized data coordinating center. Statistical analyses were performed with Kruskal Wallis and chi-squared tests.

      Result

      Seven sites spanning 3,081 miles evaluated 10 of the 13 OCCM areas. Total enrollment was 927 patients (257 Medicaid/ 670 Non-Medicaid). The Medicaid population had an average age of 62 years, ranging from 58-68 across sites. The clinical stage distribution was 40% stage I/II and 60% stage III/IV. Medicaid patients were 47% adenocarcinoma histology, 29% squamous cell, 14% small cell, and 10% other. Sites differed by patient age (p=0.0041), race (p<0.0001), and smoking status (p=0.028).

      Three sites evaluated models for prospective multidisciplinary case planning for Medicaid patients including: bi-weekly tumor board (BTB), virtual tumor board (VTB), and multidisciplinary team huddle (MTH). VTB and MTH allowed for presentation of higher percentages of eligible patients (BTB: 23%, VTB: 100%, MTH: 100%, p<0.0001). BTB and MTH discussed all cases prospectively, while VTB achieved 80%. Median days from diagnosis to presentation were 18 (BTB), 14 (VTB), and 9 (MTH, p=0.14).

      Two sites evaluated smoking cessation programs. One, using trained cessation counselors, had 62% (18/29) active smokers, of whom 56% (10/18) expressed readiness to quit. Another site, using the freedom from smoking initiative, had 50% (11/22) active smokers and 55% (6/11) readiness to quit. 83% of those who started the cessation program quit smoking.

      Patient access to care was evaluated with timeliness of care metrics at two sites: one found 13 days (median) from lesion discovery to diagnosis and 21 days from diagnosis to treatment in Medicaid patients, which did not differ from Non-Medicaid controls (p=0.96 and 0.38). 94% met the site goal of treatment initiation within 45 days. Another site found 16 days (median) from discovery to diagnosis and 27 days from diagnosis to treatment (did not differ from Non-Medicaid controls, p=0.68 and 0.83).

      Conclusion

      Sites successfully used the OCCM to identify areas to improve and developed meaningful data benchmarks. The OCCM is a valuable tool for cancer centers to identify specific areas to target to improve lung cancer care delivery.

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