A MODEL TO OPTIMIZE THE USE OF PUBLIC RESOURCES AND FOUNDATION FUNDS AND INCREASE PATIENT ACCESS TO HEALTH CARE

2.50
Hdl Handle:
http://hdl.handle.net/10755/164615
Category:
Abstract
Type:
Presentation
Title:
A MODEL TO OPTIMIZE THE USE OF PUBLIC RESOURCES AND FOUNDATION FUNDS AND INCREASE PATIENT ACCESS TO HEALTH CARE
Author(s):
Senter, Melanie; Anderson, Paula; Scott, Trina; Vela, Georgia; Rose, Bonnie
Author Details:
Melanie Senter, RN, Early Detection Coordinator, UT Southwestern/Moncrief Cancer Resources, Fort Worth, Texas, USA, email: melanie.senter@moncrief.com; Paula Anderson, RN, MN, OCN; Trina Scott, RN, BSN, OCN; Georgia Vela, RN, WHNP; and Bonnie Rose, RN, BSN, OCN
Abstract:
Administration/Leadership Development: UT Southwestern/Moncrief Cancer Resources provides preincident cancer navigation through integrated services of the university's mobile mammography program and our non-profit organization. Focus is on uninsured and underinsured women in culturally diverse, underserved areas of our community. Through grants provided by Susan G. Komen and the Moncrief Cancer Foundation, the number of mammography screenings and identification of patients requiring further diagnostics has grown exponentially. The oncology nurse-driven navigation program identified the need to add a bilingual, bicultural RN to respond to increasing patient referrals and abnormal mammography findings. The RNs were challenged with developing and implementing a process that would optimize the use of scarce funds and increase patient access to community resources. The strength of this program is the creation and identification of a comprehensive algorithm to promote efficient use of appointment schedules, funds and staffing resources. Additionally, the process would foster accelerated access to health care by assisting patients with required documents and application forms. A referral algorithm was developed using identified resources and qualifying criteria to assist in referring patients comprehensively to agencies on the basis of financial and resident status and the patient's ability to provide required documentation. The nurses also collaborated with navigators from other facilities to share solutions regarding the challenges of navigating patients toward a cancer diagnosis. Patients have expressed ease of access to the diagnostic process. Results show fewer missed appointments, increased numbers of patients presenting to agencies with proper documentation and appreciation of the collaborative efforts undertaken. Six months of data analysis revealed that 185 patients were navigated through our program in a pattern of optimal distribution; 108 qualified for the Breast and Cervical Cancer Control Program, 43 qualified for funding assistance through the county hospital, 19 received diagnostic funding from Moncrief Cancer Resources, and 15 were referred to a physician of choice. The application of the patient referral algorithm and intense collaborative efforts of area agencies and foundations have proved to be a successful method of optimizing resources in our area. The algorithm will be presented during the poster session.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2009
Conference Name:
34th Annual Oncology Nursing Society Congress
Conference Host:
Oncology Nursing Society
Conference Location:
San Antonio, Texas, USA
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titleA MODEL TO OPTIMIZE THE USE OF PUBLIC RESOURCES AND FOUNDATION FUNDS AND INCREASE PATIENT ACCESS TO HEALTH CAREen_GB
dc.contributor.authorSenter, Melanieen_US
dc.contributor.authorAnderson, Paulaen_US
dc.contributor.authorScott, Trinaen_US
dc.contributor.authorVela, Georgiaen_US
dc.contributor.authorRose, Bonnieen_US
dc.author.detailsMelanie Senter, RN, Early Detection Coordinator, UT Southwestern/Moncrief Cancer Resources, Fort Worth, Texas, USA, email: melanie.senter@moncrief.com; Paula Anderson, RN, MN, OCN; Trina Scott, RN, BSN, OCN; Georgia Vela, RN, WHNP; and Bonnie Rose, RN, BSN, OCNen_US
dc.identifier.urihttp://hdl.handle.net/10755/164615-
dc.description.abstractAdministration/Leadership Development: UT Southwestern/Moncrief Cancer Resources provides preincident cancer navigation through integrated services of the university's mobile mammography program and our non-profit organization. Focus is on uninsured and underinsured women in culturally diverse, underserved areas of our community. Through grants provided by Susan G. Komen and the Moncrief Cancer Foundation, the number of mammography screenings and identification of patients requiring further diagnostics has grown exponentially. The oncology nurse-driven navigation program identified the need to add a bilingual, bicultural RN to respond to increasing patient referrals and abnormal mammography findings. The RNs were challenged with developing and implementing a process that would optimize the use of scarce funds and increase patient access to community resources. The strength of this program is the creation and identification of a comprehensive algorithm to promote efficient use of appointment schedules, funds and staffing resources. Additionally, the process would foster accelerated access to health care by assisting patients with required documents and application forms. A referral algorithm was developed using identified resources and qualifying criteria to assist in referring patients comprehensively to agencies on the basis of financial and resident status and the patient's ability to provide required documentation. The nurses also collaborated with navigators from other facilities to share solutions regarding the challenges of navigating patients toward a cancer diagnosis. Patients have expressed ease of access to the diagnostic process. Results show fewer missed appointments, increased numbers of patients presenting to agencies with proper documentation and appreciation of the collaborative efforts undertaken. Six months of data analysis revealed that 185 patients were navigated through our program in a pattern of optimal distribution; 108 qualified for the Breast and Cervical Cancer Control Program, 43 qualified for funding assistance through the county hospital, 19 received diagnostic funding from Moncrief Cancer Resources, and 15 were referred to a physician of choice. The application of the patient referral algorithm and intense collaborative efforts of area agencies and foundations have proved to be a successful method of optimizing resources in our area. The algorithm will be presented during the poster session.en_GB
dc.date.available2011-10-27T12:03:54Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T12:03:54Z-
dc.conference.date2009en_US
dc.conference.name34th Annual Oncology Nursing Society Congressen_US
dc.conference.hostOncology Nursing Societyen_US
dc.conference.locationSan Antonio, Texas, USAen_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
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