Clinical Judgment Development: Six Steps to Establish Professional Identity and Role-Specific Competencies in Caring for a Sexual Assault Survivor

Background: Clinical judgment is a specific role that establishes a professional identity. The purpose of this paper is to prepare nursing students to make better judgments in the clinical setting and realign learning and teaching. Methods: We used six steps to arrive at a competent clinical judgment suggested by the National Council State Board of Nursing (NSCBN) as a clinical judgment model 1) recognizing cues, 2) analyzing cues, 3) prioritizing hypotheses, 4) generating solutions, 5) taking an action, and 6) evaluating outcomes during the head-to-toe examination of the patient. Results: The primary outcomes are stabilization of the hemodynamics of the patient and prevention of further blood loss. Fluids are being given to help keep the vascular volume from being depleted, but they cannot solve the underlying problem. Continued assessment, intervention, and monitoring of vital signs through the course of the hospital stay ending with the patient’s discharge. Discussion: Survivors of sexual assault are unique for a nurse to provide care. The nurse needs to assess, intervene, monitor, and pay attention to detail of the 6 steps to clinical judgment, resulting in positive outcomes for their patient. Conclusions: Forensic nursing is a field of nursing that focuses on sexual assault survivor care and works to make the aftermath of their tragic situation easier to cope with. Strengthening clinical judgment skills could remedy significant mistakes made by novice forensic nurses. Critical thinking and clinical ethical reasoning are the building blocks of clinical judgment.

Accuracy of gestalt perception of acute chest pain in predicting coronary artery disease

AIM To test accuracy and reproducibility of gestalt to predict obstructive coronary artery disease(CAD)in patients with acute chest pain.METHODS We studied individuals who were consecutively admitted to our Chest Pain Unit.At admission,investigators performed a standardized interview and recorded14 chest pain features.Based on these features,a cardiologist who was blind to other clinical characteristics made unstructured judgment of CAD probability,both numerically and categorically.As the reference standard for testing the accuracy of gestalt,angiography was required to rule-in CAD,while either angiography or non-invasive test could be used to rule-out.In order to assess reproducibility,a second cardiologist did the same procedure.RESULTS In a sample of 330 patients,the prevalence of obstructive CAD was 48%.Gestalt’s numerical probability was associated with CAD,but the area under the curve of0.61(95%CI:0.55-0.67)indicated low level of accuracy.Accordingly,categorical definition of typical chest pain had a sensitivity of 48%(95%CI:40%-55%)and specificity of 66%(95%CI:59%-73%),yielding a negligible positive likelihood ratio of 1.4(95%CI:0.65-2.0)and negative likelihood ratio of 0.79(95%CI:0.62-1.02).Agreement between the two cardiologists was poor in the numerical classification(95%limits of agreement=-71%to 51%)and categorical definition of typical pain(Kappa=0.29;95%CI:0.21-0.37).CONCLUSION Clinical judgment based on a combination of chest pain features is neither accurate nor reproducible in predicting obstructive CAD in the acute setting.