The problem of patient misidentification continues to affect the quality of healthcare delivery. Patient misidentification can result in medication errors, transfusion errors, conducting of surgical procedures on the wrong patient and the discharge of children to the wrong families. It is critical for healthcare facilities to adopt measures to prevent patient misidentification. Patient misidentification can prove fatal especially if it involves drug medication, blood transfusions, and surgical interventions.
The ideal research question for the study would be; how can healthcare facilities prevent patient misidentification
Hain & Rush (2010) analyze the prevalence of patient identification band errors. The authors review the introduction of strategies such as wristband standardization and the implementation of the “stop-the-line” policy as soon as a healthcare professional notes a misidentification error. The authors conducted a web-based survey on hospital personnel at Monroe carrel children’s hospital. The authors collected data from random healthcare personnel this allowing the unbiased collection of data. The objective of the survey was to establish the barriers that prevented the staff from attaining zero recordings of defects with identification bands. The authors recommended increased awareness of identification band error. The authors also called for health practitioner to stop the line in case they identify a patient miss-identification error. The authors provide readers with credible findings and recommendations aimed at improving patient identification process.
Lathma & Bates (2012) conduct a study with the intention of determining identification procedures that are acceptable to healthcare providers and the patients. The authors conduct a comprehensive study at a teaching hospital in Malawi. The research was valid because it relied on WHO guidelines, to introduce wristbands and improvements to bedside identification procedures. The study revealed that health care facilities in developed countries can also embrace measures to minimize patient misidentification. The authors advocate the introduction of tangible tools such as wristbands. Additionally, the authors advocate the engagement of patients in the prevention exercise. The authors also recommended the use of second-identifiers to verify and affirm patient identification. The authors; however, fail to conduct a study suing his selected participants. The author should have conducted his individual study to verify the findings of the secondary sources he uses.
Schulmeister (2008) demonstrate the strategies that health care workers can adopt for effective reduction in patient misidentification cases. The author advocates the correct entry of patient information. Healthcare professionals should correct complete patient information. The health care provider must provide patients with armbands with the correct names. The author provides credible information about strategies to minimize patient misidentification. The authors strongly rely on data from the joint commission that makes the information in the article credible. However, the author should have broadened his study by seeking content from a broad spectrum of credible sources.
Dunn & Moga (2010) analyzes the problem of patient misidentification in laboratory medicine. Patient misidentification in laboratories occurs because of mislabeling. The authors conduct a qualitative analysis to identify the system vulnerabilities in specimen collection, processing, analysis and reporting. The content of the article is credible because the authors use 227 root-cause analysis reports from the veteran’s health administration. The authors also conduct three stages of laboratory tests cycles to acquire credible results. The methods of data collection allowed the authors to gather reliable data for their investigations. The findings revealed that factors such as batching, manual entry of data and lack of patient verification. The article is ideal for the study of patient misidentification; however, it fails to provide the appropriate recommendation for minimizing specification misidentification in the laboratory.
Marquard & Hennneman (2011) evaluate nurse behavior and visual scanning patterns and their relation to patient identification errors during medical administration. The author use of a simulated clinical setting enabled the authors to visualize a medical situation in an actual medical facility. The findings of the study are quite credible as they indicate that nurses can face distractions while giving medications thus increasing the risk of errors. Additionally, it is true that nurses may fail to perform basic error-identifying strategies aimed at ruling out the risk of error. The authors also provide recommendations that are worth considering. The weakness of the study is that the authors failed to corroborate their findings using an actual medical setting. The findings would have strengthened the findings from the simulation exercise. Additionally, the authors should have used more patients as part of his simulation exercise. The simulation exercise focused on three patients thus a very narrow patient pool. The use a wide pool of participants validates the findings of the simulation.
is undeniable that the problem of patient misidentification continues to affect
many healthcare facilities. It is critical for researchers to conduct an
in-depth analysis of the student to determine how patient misidentification
affects service delivery. Similarly, researchers should focus on the strategies
that health facilities and healthcare professionals can adopt so as to minimize
errors during the provision of healthcare services. Patient have a right to
access quality and safe healthcare services, and healthcare facilities have the
duty to ensure the delivery of quality healthcare.
Dunn, E. J., & Moga, P. J. (2010). Patient Misidentification in Laboratory Medicine. Archives Of Pathology & Laboratory Medicine, 134(2), 244-255.
Hain, P. & Rush, M. (2010). An intervention to decrease patient identification band errors in children’s hospital. Journal of quality safe health care. Vol. 19:244-247
Lathma, T. & Bates, I. (2012). Quality in practice: implementation of hospital guidelines for patient identification in Malawi. The international society for quality in healthcare.
Marquard, J. & Hennneman, P. (2011). Nurse’ behaviors and visual scanning patterns may reduce patient identification errors. Journal of experimental psychology.Vol. 17(3):247-256
Schulmeister, L. (2008). Patient Misidentification in Oncology Care. Clinical Journal Of Oncology Nursing, 12(3), 495-498.
Sherry Roberts is the author of this paper. A senior editor at MeldaResearch.Com in pre written college essays. If you need a similar paper you can place your order from pay someone to write my research paper services.