Journal article
Homecare Nurses' Decision-Making During Admission Care Planning
Studies in health technology and informatics, v 225, pp 28-32
2016
PMID: 27332156
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The re-hospitalization rate of homecare patients within 60 days of hospital discharge is 30%. Enhanced care planning based on better information may reduce this rate. However, very little is known about the homecare admission and care planning processes. The research team collected data during observations of three nursing visits to admit homecare patients in Camden NJ, and conducted thematic content analysis on these data. Human factors methods helped to identify nurse decision-making related to selection of the plan of care problems, non-nursing resources, and the nursing visit pattern. They identified how the electronic health record (EHR) assisted the nurse in visit pattern frequency decisions. Major themes that emerged included reduced efficiency due to use of redundant intra-team communication methods to augment EHR documentation, redundant documentation, and workarounds and reorganization of clinical workflow.
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Details
- Title
- Homecare Nurses' Decision-Making During Admission Care Planning
- Creators
- Paulina Sockolow - Drexel University College of Nursing and Health Professions, Philadelphia, PA, USAEllen J Bass - Drexel UniversityCarl L Eberle - Drexel University School of Biomedical Engineering, Science and Health Systems, Philadelphia, PA, USAKathryn H Bowles - University of Pennsylvania School of Nursing, Philadelphia, PA, USA
- Publication Details
- Studies in health technology and informatics, v 225, pp 28-32
- Publisher
- IOS Press
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science; Health Sciences Division
- Web of Science ID
- WOS:000385238600006
- Scopus ID
- 2-s2.0-84978776436
- Other Identifier
- 9781614996583; 161499658X; 991019168021504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Health Care Sciences & Services
- Health Policy & Services
- Medical Informatics
- Nursing