Abstract
Demand for home health services is increasing due to the growing aging population, increasing rates of chronic conditions, and advances in health care that support the provision of many health-related services in patients' homes. Home health agencies must adapt care delivery procedures to meet the needs of diverse and complex patients in order to keep them in their homes for as long as possible. However, it is unknown how home health nurses decide on visit patterns and implement their visit plans within the dynamic and unpredictable home health setting. This qualitative descriptive study was guided by an adapted nurse decision-making model with a superimposed socio-ecological lens and explored the processes that home health nurses use to decide on visit patterns and implement their visit plans for newly admitted patients.
Sigma Membership
Alpha Mu
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Descriptive/Correlational
Research Approach
Qualitative Research
Keywords:
Care Planning, Home Health Care, Socio-Ecological
Advisor
Kathryn H. Bowles
Degree
PhD
Degree Grantor
University of Pennsylvania
Degree Year
2017
Recommended Citation
Irani, Elliane, "Exploring home health nurse decision making: Development and implementation of the visit plan" (2024). Dissertations. 509.
https://www.sigmarepository.org/dissertations/509
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2024-09-09
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 10599268; ProQuest document ID: 1952046329. The author still retains copyright.