The Impact of SBAR Communication Model on Observance of Patient Safety Culture

The Impact of SBAR Communication Model on Observance of Patient Safety Culture

 

 

The findings can be interpreted as accurate and nondiscriminatory due to the inclusion of nurses with a wide range of backgrounds eliminating a possibility of bias among participants. The race, gender, and educational level distribution can be considered representative of the majority of similar healthcare organizations.

 

Setting and Organization

In the case of data derived on the setting, the pre-setting and post-setting values were 6.23 and 8.57, respectively. Therefore, a statistically significant improvement has been observed with an increase in CEX score by 37.56%. In the case of organization and efficiency factors, the pre-organization and post-organization scores were 5.77 and 8.60, respectively. In other words, a statistically significant increase was observed, which was 49.04%. Therefore, the SBAR framework of communication improved both setting and organization components by a substantial margin. The data received by the author in the process of studying the influence of the algorithm demonstrate the extreme efficiency and usefulness of using SBAR technology. The study results confirm the effectiveness of the SBAR technology in the work of medical personnel. Thus, the author recommended the use of the algorithm to improve the quality of patient care, facilitate the work of medical personnel, and reduce the number of medical errors.

Communication Skills and Content

The implementation of the SBAR led to 32.66% improvement in the areas of communication skills exhibited by the nursing professionals due to a change from a CEX score of 6.43 in pre-communication skills to 8.53 in post-communication skills. The pre-content and post-content scores are 5.70 and 8.60, respectively. The latter CEX scores are indicative of a 50.88% improvement in regards to the factor of content.

Clinical Judgment and Humanistic Quality/Professionalism

In the case of clinical judgment, CEX score, pre-clinical judgment, and post-clinical judgment values were 5.67 and 8.77, respectively. The improvement in this area was equal to a 54.67% increase, which is more than half. For the professionalism and humanistic quality domains, the increase was 28.38% due to a change from the CEX score of 6.80 to 8.73. As a result of the conducted research, the DNP candidate provided the staff with a 30-minute on-the-job training on using the SBAR tool during the shift transfer. In addition, the project allowed one to study the process of performing shift transfer by nurses using the SBAR tool. The research on the SBAR algorithm enables the DNP candidate to thoroughly and effectively analyze and improve the quality of the communication process of medical personnel.

Overall Sign-out Competence and Medication Errors

The CEX value for pre-overall sign-out competence was 6.73, and for post-overall sign-out, competence was 8.73, which means a 29.72% increase. However, the medication errors prior to SBAR use were around 0.10, but after the integration measurements showed a zero error rate. Therefore, SBAR led to a 100% decrease in medication errors rate. A significant increase in positive results can be observed after the start of the use of SBAR technology in medical institutions. Significant improvements in the level of efficiency of interaction of medical personnel, communication skills, setting, organization, content, clinical judgment, humanistic qualities, professionalism, and sign-out competence are noticeable. In addition, based on the statistical data obtained as a result of the study, due to the introduction of the SBAR algorithm, the number of medical errors has significantly decreased. Based on the data obtained, the SBAR algorithm makes the communication process between medical professionals more efficient and informative, which reduces the number of medical errors.

Limitations

Barriers for Implementation

Although the SBAR method is a reliable and effective communication tool that can be implemented into medical practice without much difficulty, there are certain limitations. For example, patients with complex medical histories and care plans, especially in intensive care settings, nursing staff behavior, Pandemic, different shifts, have problems using this algorithm (Abbasi, 2020). The SBAR tool requires the minimum training and education of all clinical staff so that communication is well and effectively understood and validated.

Staff Resistance

However, difficulties may arise if a medical professional resists any changes, rejecting everything new. In addition, the complaint of the nursing staff during the shift report on a relatively time-consuming process can also cause limitations. Thus, when making changes to the usual communication between medical professionals, it is necessary to carefully consider all the nuances and possible limitati

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