Navigating One's Way Through the Complex Maze of Patient Discharge: An Algorithm to Facilitate Discharge Planning

2.50
Hdl Handle:
http://hdl.handle.net/10755/165569
Category:
Abstract
Type:
Presentation
Title:
Navigating One's Way Through the Complex Maze of Patient Discharge: An Algorithm to Facilitate Discharge Planning
Author(s):
Wong, Diana
Author Details:
Diana Wong, Johns Hopkins University, School of Nursing, Baltimore, Maryland, USA
Abstract:
In the ever-changing world of healthcare, oncology patients treated in acute care facilities require earlier discharge planning to ensure a smooth transition out of the acute inpatient environment to home or an extended care facility such as hospice, a nursing home, or a sub-acute environment. Patient discharges have become complex and time consuming. The nurse plays a vital role in recognizing and defining patient discharge needs. The nursing shortage has produced disproportionate staffing patterns with agency and novice nurses making up the majority on any given shift. These nurses are unfamiliar with how to navigate the discharge maze. The complexity of these discharges, coupled with staffing shortages, creates inconsistencies in the discharge planning process. Delayed discharges, lack of proper identification of services needed, frequent patient call backs resulting from incomplete patient education, and readmission due to inadequate discharge plans are all negative outcomes experienced by the patient and their family. To facilitate timely and satisfactory discharge outcomes, a discharge planning algorithm was developed. This algorithm serves as a guide for the nurse. However, the algorithm is made available to all members of the multidisciplinary team as a reference. The nurse is considered the primary discharge planner and navigator. The algorithm prompts the nurse through a process that targets specific discharge responsibilities that must be addressed by different healthcare team members to ensure a comprehensive plan has been implemented. The algorithm starts by identifying the discharge destination and follows with prompts regarding transportation, discharge medications, patient education, and notification reminders. The goals of this project are to decrease the number of delayed discharges, improve the discharge experience for patients and their families, and to ensure satisfactory discharge outcomes for the institution.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2002
Conference Name:
27th Annual Oncology Nursing Society Congress
Conference Host:
Oncology Nursing Society
Conference Location:
Washington, D.C., 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.titleNavigating One's Way Through the Complex Maze of Patient Discharge: An Algorithm to Facilitate Discharge Planningen_GB
dc.contributor.authorWong, Dianaen_US
dc.author.detailsDiana Wong, Johns Hopkins University, School of Nursing, Baltimore, Maryland, USAen_US
dc.identifier.urihttp://hdl.handle.net/10755/165569-
dc.description.abstractIn the ever-changing world of healthcare, oncology patients treated in acute care facilities require earlier discharge planning to ensure a smooth transition out of the acute inpatient environment to home or an extended care facility such as hospice, a nursing home, or a sub-acute environment. Patient discharges have become complex and time consuming. The nurse plays a vital role in recognizing and defining patient discharge needs. The nursing shortage has produced disproportionate staffing patterns with agency and novice nurses making up the majority on any given shift. These nurses are unfamiliar with how to navigate the discharge maze. The complexity of these discharges, coupled with staffing shortages, creates inconsistencies in the discharge planning process. Delayed discharges, lack of proper identification of services needed, frequent patient call backs resulting from incomplete patient education, and readmission due to inadequate discharge plans are all negative outcomes experienced by the patient and their family. To facilitate timely and satisfactory discharge outcomes, a discharge planning algorithm was developed. This algorithm serves as a guide for the nurse. However, the algorithm is made available to all members of the multidisciplinary team as a reference. The nurse is considered the primary discharge planner and navigator. The algorithm prompts the nurse through a process that targets specific discharge responsibilities that must be addressed by different healthcare team members to ensure a comprehensive plan has been implemented. The algorithm starts by identifying the discharge destination and follows with prompts regarding transportation, discharge medications, patient education, and notification reminders. The goals of this project are to decrease the number of delayed discharges, improve the discharge experience for patients and their families, and to ensure satisfactory discharge outcomes for the institution.en_GB
dc.date.available2011-10-27T12:21:02Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T12:21:02Z-
dc.conference.date2002en_US
dc.conference.name27th Annual Oncology Nursing Society Congressen_US
dc.conference.hostOncology Nursing Societyen_US
dc.conference.locationWashington, D.C., 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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