<p> Patient falls present challenges in acute care settings. It was unknown if hourly patient rounding using an electronic whiteboard system (EWS) impacted fall rates on a 16-bed surgical unit in a community hospital in Philadelphia, PA. The clinical questions for this project were what impact does the EWS have on hourly patient rounding and fall rates, and what impact does patient rounding logs have on hourly patient rounding and fall rates. Roy’s adaptation model, capacity building, and Kurt Lewin’s change theory were the theoretical and conceptual frameworks used in this project. Descriptive analyses were used to interpret data from the EWS and patient rounding logs completed on 220 randomly selected patients, in two nursing units, totaling 7,689 patient rounds. A quantitative correlational design determined the impact of the EWS on hourly patient rounding. A chi-square (χ<sup>2</sup>) test of independence determined the expected and actual numbers of missed and completed patient rounds. The results indicated a statistically significant relationship between the EWS and hourly patient rounding, <i>X<sup> 2</sup></i> = (1, <i>N</i> = 7,689) = 371.3; <i>p</i> = < 0.05. A statistically significant relationship was found between hourly patient rounding completed on dayshift compared to nightshift, <i>X<sup> 2</sup></i> = (1, <i>N</i> = 7,689) = 38.7, <i>p</i> = < 0.05. However, using the EWS did not reduce fall rates on the control unit (<i>n</i> = 7.04). The findings of this project support the use of an EWS to enhance hourly patient rounding and is being considered as a standard of care for the future. </p><p>
| Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:13418874 |
| Date | 19 December 2018 |
| Creators | Renzi, John |
| Publisher | Grand Canyon University |
| Source Sets | ProQuest.com |
| Language | English |
| Detected Language | English |
| Type | thesis |
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