Purpose of study: The aim of the study is to assess the quantitative outcomes of using bedside nursing shift report to support the existing literature that shows benefits of the practice.
Research Design | The research used the quasi-experimental pre-and-post-implementation design. A quasi-experimental design is a research method that seeks to establish a cause-effect relationship between variables (Handley et al., 2018). Pre and post-implementation design means that measurements of the dependent variables were taken before and after the manipulation of the independent variable. |
Sample Selection | The research surveys were distributed to a convenient sample of patients who met the following conditions; have been hospitalized for 48hours or more, and were scheduled for discharge from the surgical unit in the month of the research. The nurses were sampled from the medical-surgical unit. This study utilized the purposive sampling method which is subjective about the selection of the participants (Taherdoost, 2016). |
Data Collection Methods, Measures and Tools | Data was collected through surveys; online surveys for nurses, and survey forms for the patients. The measures for the research include; patient and nurse satisfaction, patient falls, medication errors, and nurse overtime. The tools of practice change included; nurses working together to pass patient information from one shift to another, informing the patients about their care, as well as listening and treating the patient with kindness. |
Plans for Data Analysis | The independent variable was the bedside nursing shift report i.e. the tools of practice change. The dependent variables were the outcome measures which are patient and nurse satisfaction, patient falls, medication errors, and nurse overtime. The dependent variable was analyzed before and after the manipulation of the independent variable to determine the cause-effect relationship between the two. |
Strengths | The advantages of using the quasi-experiment design and the purposive sampling method are their time saving, cost-effective, and direct approach. The easy approach allowed the researcher to concentrate more on establishing the relationship between the variables. |
Weaknesses | The possibility of confounding bias arising from using quasi-experimental design as well as bias arising from the sampling method that entirely depends on the researcher are the weaknesses of the study. |
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References
Handley et al. (2018). Selecting and Improving Quasi-Experimental Designs in Effectiveness and Implementation Research. Annual Review of Public Health , 39 (1), 5-25. https://doi.org/10.1146/annurev-publhealth-040617-014128
Sand-Jecklin, K., & Sherman, J. (2014). A Quantitative Assessment of Patient and Nurse Outcomes of Bedside Nursing Report Implementation. Journal of Clinical Nursing , 23(19-20), 2854-2863. https://doi.org/10.1111/jocn.12575
Taherdoost, H. (2016). Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research. SSRN Electronic Journal , 3(28), 78-84. https://doi.org/10.2139/ssrn.3205035