Abstract
Home care managers are faced with an unprecedented challenge to provide quality care at reduced costs at the same time that their case mix is becoming more complex. Since the major expense in home care is nursing labor, improving nursing productivity is a primary method of reducing costs. However, the elements of a home visit have never been defined in such a way that they could be priced appropriately or so that productivity could be measured more precisely than identifying the number of home visits made per day or calculating the average cost per visit. This exploratory study was designed to develop a quantification model for measuring home visits using three parameters: types of nursing activities, complexity, and time. Through use of interaction analysis, nursing activities were recorded every minute during 75 home visits, made by 26 nurses, in eight agencies.
Sigma Membership
Rho
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Case Study/Series
Research Approach
Quantitative Research
Keywords:
In-home Nursing, Nursing Management, Quality of Care
Advisor
Lillian M. Simms
Degree
PhD
Degree Grantor
University of Michigan
Degree Year
1987
Recommended Citation
Storfjell, Judith I., "A quantification model for home health care nursing visits" (2020). Dissertations. 560.
https://www.sigmarepository.org/dissertations/560
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
2020-06-26
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 8801424; ProQuest document ID: 303594198. The author still retains copyright.