scholarly journals P1.15-21 Creating an Optimal Care Coordination Model to Improve Multidisciplinary Care for Lung Cancer Patients on Medicaid

2018 ◽  
Vol 13 (10) ◽  
pp. S619-S621
Author(s):  
A. Marbaugh ◽  
T. Asfeldt ◽  
R. Oyer ◽  
C. Lathan ◽  
M. Smeltzer ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Care Coordination ◽  
Multidisciplinary Care ◽  
Optimal Care ◽  
Lung Cancer Patients ◽  
Coordination Model

Creating an optimal care coordination model for patients with lung cancer on Medicaid.

2018 ◽  
Vol 36 (30_suppl) ◽  
pp. 273-273
Author(s):  
Amy Marbaugh ◽  
Thomas Asfeldt ◽  
Amanda Kramar ◽  
Lorna Lucas
Keyword(s):  
Lung Cancer ◽  
Care Coordination ◽  
Assessment Tool ◽  
Multidisciplinary Care ◽  
Patient Access ◽  
Optimal Care ◽  
Improvement Project ◽  
Cancer Centers ◽  
Coordination Model ◽  
Cancer Program

273 Background: The Association of Community Cancer Centers (ACCC) created an Optimal Care Coordination Model (OCCM), which provides a comprehensive self-assessment tool designed to orient cancer programs to achieving patient-centered, multidisciplinary care. The OCCM is designed to help cancer programs, regardless of resources, location, or population, improve care for lung cancer patients, especially those on Medicaid. Methods: An environmental scan was conducted in early 2016 with a focus on coordination of care after lung cancer diagnosis to improve experiences and outcomes for Medicaid beneficiaries. Five ACCC Cancer Program Members each hosted 2-day site visits in mid-2016. Interview sessions were conducted to explore effective practices and current care models for patients with lung cancer insured by Medicaid. Key problems in care coordination were identified, as well as local solutions that had been put in place to overcome these barriers. The NCI Community Cancer Centers Program’s (NCCCP) Multidisciplinary Care (MDC) Assessment Tool was the foundational template to create the OCCM. The MDC Tool included 7 assessment areas that were identified as impactful to establishing multidisciplinary care and includes a Level 1-5 evaluation matrix. Results: The beta version of the OCCM was created in early 2017. The number of Assessment Areas was expanded to better capture current care coordination philosophies; (1) Patient Access to Care; (2) Prospective Multidisciplinary Case Planning; (3) Financial, Transportation, and Housing; (4) Management of Comorbid Conditions; (5) Care Coordination; (6) Treatment Team Integration; (7) Electronic Health Records (EHR) and Patient Access to Information; (8) Survivorship Care; (9) Supportive Care; (10) Tobacco Cessation; (11) Clinical Trials; (12) Physician Engagement; (13) Quality Measurement and Improvement. Conclusions: Seven ACCC Cancer Program Members are currently validating the model by each implementing at least one program-specific quality improvement project focused on an Assessment Area over a 12-month time period. All programs are collecting extensive data to determine the extent their program improved within an assessment area. Final results will be available for dissemination in 2019.

Development of a Multidisciplinary Care System for Lung Cancer Patients

2008 ◽  
Vol 7 (2) ◽  
pp. 75
Author(s):  
Kook-Joo Na ◽  
Sung-Ja Ahn ◽  
Yun-Hyeon Kim ◽  
Hee-Seung Bom ◽  
Chan Choi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Multidisciplinary Care ◽  
Lung Cancer Patients ◽  
Care System

Development of a patient-oriented navigation model for lung cancer patients.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18033-e18033
Author(s):  
Christine Holmberg ◽  
Kathrin Gödde ◽  
Hella Fuegemann ◽  
Jacqueline Mueller-Nordhorn ◽  
Nina Rieckmann ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Data Analysis ◽  
Cancer Patients ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Tumor Board ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Optimal Care ◽  
Lung Cancer Patients

e18033 Background: Patient navigation is seen to support and enable patient-oriented, optimal care both in palliative and in screening settings. However, the evidence remains inconclusive on what patient groups are best targeted by navigation and what may be improved by such a care model. Lung cancer patients are at particular risk for sub-optimal care because they face complex care trajectories due to severe and rapid disease progression and accompanying comorbidity. Methods: To develop a navigation model for lung cancer, we conducted a mixed-methods study to investigate who may be at risk of receiving sub-optimal care in the German health care setting. To capture the patient perspective a longitudinal qualitative component was included with patients (N = 20) assessed at three dtime points. In addition, a secondary data analysis of cancer registry data of a comprehensive cancer center was conducted and a repository of patient support offers gathered. Results of the study components were integrated to develop a patient-oriented navigation model. Results: Secondary data analysis showed that medical care functioned according to tumor board recommendations. Patient data revealed institutional barriers that conflict with individual needs and preferences. A lack of contact persons, information provision as well as bureaucratic difficulties were identified. Patients without a social network seem particularly in need for support. Identification of regional support offers shows that there are resources available to meet some of these needs. However, knowledge on such offers was not common among patients and caregivers. Navigators should provide practical support, give advice on social care issues and refer to existing support offers. Conclusions: Social networks crucial. Patients lack knowledge to use available resources. Navigation needs to be implemented within existing care structures to reach patients.

scholarly journals Multidisciplinary care models for patients with lung cancer

Breathe ◽  
2020 ◽  
Vol 16 (4) ◽  
pp. 200076
Author(s):  
Georgia Hardavella ◽  
Armin Frille ◽  
Christina Theochari ◽  
Elli Keramida ◽  
Elena Bellou ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Lung Cancer Surgery ◽  
Multidisciplinary Care ◽  
Cancer Outcomes ◽  
Care Model ◽  
Team Members ◽  
Lung Cancer Patients ◽  
Roles And Responsibilities ◽  
The Impact

Multidisciplinary care is the cornerstone of lung cancer treatment in the developed world, even though there is a relative lack of consistent evidence that this care model improves outcomes. In this review, we present the available literature regarding how to set up and run an efficient multidisciplinary care model for lung cancer patients with emphasis on team members’ roles and responsibilities. Moreover, we present some limited evidence about multidisciplinary care and its impact on lung cancer outcomes and survival.This review provides simple guidance on setting up and running a multidisciplinary service for lung cancer patients. It highlights the importance of defined roles and responsibilities for team members. It also presents concise information based on the literature regarding the impact of multidisciplinary care in lung cancer outcomes (e.g. survival of patients undergoing lung cancer surgery).

scholarly journals MA19.07 Testing an Optimal Care Coordination Model (OCCM) for Lung Cancer in a Multi-Site Study

2019 ◽  
Vol 14 (10) ◽  
pp. S328-S329
Author(s):  
M. Smeltzer ◽  
T. Asfeldt ◽  
N. Faris ◽  
A. Kramar ◽  
C. Amorosi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Care Coordination ◽  
Optimal Care ◽  
Coordination Model

scholarly journals The Effects of a Multidisciplinary Care Conference on the Quality and Cost of Care for Lung Cancer Patients

2015 ◽  
Vol 100 (5) ◽  
pp. 1834-1838 ◽  
Author(s):  
Richard K. Freeman ◽  
Anthony J. Ascioti ◽  
Megan Dake ◽  
Raja S. Mahidhara
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Multidisciplinary Care ◽  
Cost Of Care ◽  
Lung Cancer Patients ◽  
Care Conference

An Optimal Care Coordination Model for Medicaid Patients with Lung Cancer: Rationale, Development, and Design

2021 ◽  
Vol 36 (2) ◽  
pp. 30-35
Author(s):  
Randall A. Oyer ◽  
Christopher S. Lathan ◽  
Thomas M. Asfeldt ◽  
Amanda Kramar ◽  
Leigh M. Boehmer
Keyword(s):  
Lung Cancer ◽  
Care Coordination ◽  
Optimal Care ◽  
Coordination Model

An Optimal Care Coordination Model for Medicaid Patients with Lung Cancer: Results from Beta Model Testing

2021 ◽  
Vol 36 (3) ◽  
pp. 80-94
Author(s):  
Matthew P. Smeltzer ◽  
Leigh M. Boehmer ◽  
Amanda Kramar ◽  
Thomas M. Asfeldt ◽  
Nicholas R. Faris ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Care Coordination ◽  
Model Testing ◽  
Optimal Care ◽  
Coordination Model

An optimal care coordination model for Medicaid patients with lung cancer: Lessons learned from the beta testing phase of a multisite initiative in the United States.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e14010-e14010
Author(s):  
Matthew Smeltzer ◽  
Leigh Boehmer ◽  
Amanda Kramar ◽  
Thomas Asfeldt ◽  
Nicholas Ryan Faris ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Access To Care ◽  
Care Coordination ◽  
Care Delivery ◽  
Community Outreach ◽  
The United States ◽  
Lessons Learned ◽  
Optimal Care ◽  
Coordination Model ◽  
Beta Testing

e14010 Background: Medicaid patients with lung cancer often have less favorable outcomes than non-Medicaid patients, which, given provision of care is typically comparable, may be due to socioeconomic disparities between these populations. In 2016, the Association of Community Cancer Centers (ACCC) embarked on a 3-year initiative to develop and test the Optimal Care Coordination Model (OCCM) to improve care coordination for Medicaid patients with lung cancer. A framework of 13 independent care delivery areas, spanning access to care to survivorship and supportive care, aids cancer programs in identifying barriers to access and use of their care, with a focus on Medicaid patients, and therefore enables optimal care coordination. Methods: Seven community-based healthcare systems in 6 U.S. states were selected as OCCM beta testing sites and then supported by the ACCC via site visits and biweekly calls. Sites self-assessed the quality of their care in selected OCCM areas to identify relevant quality improvement projects and improve understanding of needs specific to Medicaid patients. Results: Total patient enrollment across all sites was 926 (257 Medicaid; 669 non-Medicaid). Each site selected 1–2 priority OCCM areas, including patient access to care, prospective multidisciplinary case planning, or tobacco cessation, for projects. Enhanced collaboration, improved programming (e.g., patient navigation and formation of lung health leadership team), and organic programmatic changes due to the OCCM work were identified as successes. Site-specific challenges included inadequate staffing at project start and lack of centralized data collection and coordination. The importance of lung cancer–dedicated navigation, multidisciplinary conference use for treatment planning, and understanding needs specific to Medicaid patients were key transferable lessons. Examples of institutional support received by sites during the project included opportunities for staff training and leadership commitment from other hospital departments to assist with care delivery improvements. Use of the existing OCCM framework; increased staffing, particularly for lung cancer navigation; and expanded community outreach were identified in the sustainability plans. Conclusions: OCCM beta testing helped sites self-assess care delivery and identify areas for improvement. Ultimately, it was apparent that Medicaid patients need to be treated differently to obtain equity of outcomes with non-Medicaid patients.

Sign in / Sign up

Export Citation Format

Share Document