As you begin wrapping up your DNP-965 course and manuscript, address the following using at least 250-500 words. Spelling and grammar will be reviewed and graded.
Reflect on the manuscript you have written. Explain in what way you have analyzed epidemiological, biostatistical, environmental, and scientific data related to your measurable patient outcome. Would you approach the project the same way? Support your position with evidence.
Discussion 5-965
The manuscript consists of five chapters each describing different details about the DNP project. The purpose of the quantitative, quasi-experimental project was to determine if or to what degree the implementation of the Broset Violence Checklist (BVC) tool per shift would impact assaultive behavior when compared to current practice among adult patients in a New York State medical-psychiatric unit over a 4-week period. The clinical question that has been addressed in the project is that ‘To what degree does the implementation of the Brøset Violence Checklist (BVC) impact assaultive behavior when compared to the current practice among adult behavioral health patients in a medical-psychiatric unit in New York State?’ BVC use was the independent variable while episodes of violence was the dependent or outcome variable. Therefore, the measurable patient outcome in the project was rates of violence following the implementation of the BVC instrument per shift. The purpose of this discussion is to explain in what way the primary investigator has analyzed epidemiological, biostatistical, environmental, and scientific data related to the measurable patient.
The primary investigator has analyzed epidemiological, biostatistical, environmental, and scientific data to establish how they are related to changes in violence episodes. The analysis of epidemiological data has enabled the primary investigator to understand how ‘time’, ‘place’, and ‘person’ factors affect health outcomes (Pan et al., 2020). This has been achieved by assessing how violence risk imposed by adult psychiatric patients admitted in the psychiatric unit changes over time. By analyzing biostatistical data, the primary investigator has been able to establish whether there is a statistical difference in violence episodes when the BVC tool is administered once and when it is administered per shift (Malone & Coyne, 2017). The analysis of biostatistical data has been achieved by performing statistical tests using the SPSS software.
The investigator collected and analyzed environmental data to find out how factors within the patients’ surrounding impact episodes of violence. The environmental data collected in the quality improvement project was analyzed by observing changes in the BVC scores as the BVC instrument was administered per shift over time throughout the project period (Rhana et al., 2020). The primary investigator found it necessary to analyze scientific data in order to understand how BVC use per shift affects the severity of mental illnesses among psychiatric patients (Brown et al., 2018). This analysis was achieved by comparing SPSS outputs related to episodes of violence before and after BVC use. Epidemiological, biostatistical, environmental, and scientific data analysis has generated useful information which has guided the primary investigator to measure patient outcomes in relation to changes in episodes of violence.
If the quality improvement project was to be repeated, the primary investigator would approach it the same way. The specific aspect of the project that would be done differently is involving a statistician right from the time variables are identified and statistical approaches are selected instead of doing so at the time of data analysis alone. Approaching the project in this manner will help to avoid issues related to data analysis that might require the primary investigator to either modify the variables or change the statistical test.
References
Brown, A., Kaiser, K. & Allison, D. (2018). Issues with data and analyses: Errors, underlying themes, and potential solutions. Proceedings of the National Academy of Sciences of the United States of America, 115 (11), 2563-2570. https://doi.org/10.1073/pnas.1708279115.
Malone, H.E., & Coyne, I. (2017). A review of software applications and non‐software approaches in JAN. Journal of Advanced Nursing, 73(12), 2785-279. https://doi:10.1111/jan.13150
Pan, A., Liu, L., & Wang, C. (2020). Association of public health interventions with the epidemiology of the COVID-19 outbreak in Wuhan, China. JAMA, 323(19):1915–1923. doi:10.1001/jama.2020.6130
Rahna, T., John, D., & Stephen, D. (2020). Introduction of the Broset Violence Checklist on a PICU. Journal of Psychiatric Intensive Care, 16(1), 3-8. https://doi.org/10.20299/jpi.2019.002.