Urinary incontinence affects up to 70% of residents living in a long-term care facility and can affect their quality of life. Specifically, urinary incontinence has a direct impact on older adults in regards to self-esteem, pressure ulcer development, falls, urinary tract infections, and psychosocial wellbeing. The goal of this quality improvement pilot project was to determine if an electronic health record (EHR) assessment tool could help older adults remain continent longer and assist in maintaining an independent lifestyle. Orem's self-care deficit theory and social cognitive theory were used to determine how the electronic health record incontinence template could be used to monitor residents for incontinence and affect the incidence of incontinence. Out of 25 residents, 13 met the requirements for inclusion in the pilot study. Quantitative data were collected and documented in the EHR for 4 weeks and compared to the immediate 4 week period post-implementation of the EHR template. Descriptive analyses of pre- and post-implementation EHR assessments showed there were no EHR assessments completed pre-implementation and 2 residents out of 13 had EHR assessments completed post-implementation. The available data suggested that the EHR template, if edited, could be effective for tracking incontinence. The template needed to address bladder incontinence only rather than bowel and bladder. Feedback from nursing staff indicated that a future study should be conducted over a longer period than 4 weeks to see if results would remain consistent. Nurses working in the long term care environment would benefit from reading this project. This study contributes to social change as evidenced by the residents who remained continent longer by having individual toileting plans partially developed by the template; therefore, they remained a viable part of the community.
Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-1033 |
Date | 01 January 2014 |
Creators | Rodgers, Catherine |
Publisher | ScholarWorks |
Source Sets | Walden University |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Walden Dissertations and Doctoral Studies |
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