Browsing by Subject "nurses"

Now showing 1 - 7 of 7
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    How racism in US health system hinders care and costs lives of African Americans
    (2020-06-29) Zapolski, Tamika C. B.; Oruche, Ukamaka M.; School of Nursing
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    Implementation of a person oriented nurse call system using WEKA
    (Office of the Vice Chancellor for Research, 2015-04-17) Nelluri, Manasa; Nimmagadda, Raghu Teja; Bhogaraju, Tejas; Ankem, Aneesh
    Hospitality is meant to be better three hours too soon than a minute too late. With the increasing population and growing pollution the hospitals tend to be occupied too. Providing best care at the right time is the goal set to all the nurses in hospitals. This can be done by considering lots of facts regarding the patient well known as the context information. Context information is becoming increasingly important in a world with more and more wireless devices that have to be in touch with the environment around them. Maintaining a myriad caregivers for the continuous care had become a hard task and this lead to the emergence of the Electronic healthcare (eHealth) solution. We focus on how this context information can be efficiently modelled by employing an ontology. The eHealth application used is the ontology-based Nurse Call System (oNCS), which assesses the priority of a call based on the current context and assigns the most appropriate caregiver to a call. Decision trees and Bayesian networks are used to learn and adjust the parameters of the oNCS. The two types of nurse calling systems are place oriented nurse calling system and the person oriented nurse calling system. The paper mainly focuses on the difference between the two systems and brings out the best nurse calling system with the simulation results. The ontology was developed by the OWL (web ontology language) and implemented using the machine learning tool WEKA. The ontology can be used by the reasoning algorithms which are based on the context information. Considering the two cases of place oriented and person oriented nurse calling system the comparison shows the person oriented nurse calling system to be much more better than the place oriented. The drawback of the nurse calling systems are well studied by the case studies in both cases. Implementation using WEKA is embedded with the knowledge of database concepts. A database is created by considering all the risk factors of patients and the availability of the nurses and the study shows the average rate at which a nurse can serve the patient as quick as possible. A web service interface was designed which allows the insertion or extraction of new information into the Knowledge Base. Finally the simulation was made to illustrate the advantages and the performance of the new person-oriented approach.
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    Implementation of an evidence-based seizure algorithm in intellectual disability nursing: A pilot study
    (2016) Auberry, Kathy; Cullen, Deborah
    Based on the results of the Surrogate Decision-Making Self Efficacy Scale (Lopez, 2009), this study sought to determine if nurses working in the field of intellectual disability experience increased confidence when they implemented the “American Association of Neuroscience Nurses Seizure Algorithm” during telephone triage. The results of the study indicated using the AANN Seizure Algorithm increased self-confidence for many of the nurses in guiding care decisions during telephone triage. The treatment effect was statistically significant -3.169, p, .01 for a small sample of study participants. This increase in confidence is clinically essential for two reasons. Many individuals with intellectual disability and epilepsy reside within community based settings. Intellectual disability nurses provide seizure guidance to this population living in community based settings via telephone triage. Nurses improved confidence is clinically essential and has implications for practice. Evidenced-based training tools provide a valuable mechanism by guiding nurses via best practices. Nurses may need to be formally trained for seizure management due to high epilepsy rates in this population.
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    Implementation of Screening, Brief Intervention, and Referral to Treatment (SBIRT) by Nurses on Acute Care Units: A Qualitative Descriptive Study
    (Taylor & Francis, 2020) Thoele, Kelli; Burke Draucker, Claire; Newhouse, Robin; School of Nursing
    Background Screening, Brief Intervention, and Referral to Treatment (SBIRT) is an evidence-based intervention for patients with substance use disorders, but this intervention is under-utilized. Little is known about the implementation of SBIRT in acute care facilities. The purpose of this study is to describe implementation of SBIRT by nurses in acute care hospitals. Methods: A qualitative descriptive design was used for this study. Registered nurses who agreed to participate in the study completed a 1:1 interview using a semi-structured interview guide. Interviews were audio recorded and transcribed and then data were analyzed using qualitative content analysis. Results: When implementing SBIRT in an acute care setting, participants identified several factors that affect implementation. Some nurses felt that it is “one more thing to do” but other nurses feel that it was a “good, simple” screening tool that does not take long to do and can “plant the seeds of change” for patients. Additionally, participants mentioned barriers and facilitators related to the patients’ responses to SBIRT and organizational factors. Conclusions: This study identified several barriers and facilitators to SBIRT implementation related to the nurses, patients, and organization. By understanding the factors that influence implementation, healthcare providers can develop strategies to support effective implementation of SBIRT.
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    National Institutes of Health Stroke Scale (NIHSS) scoring inconsistencies between neurologists and emergency room nurses
    (Frontiers, 2022) Comer, Amber R.; Templeton, Evan; Glidden, Michelle; Bartlett, Stephanie; D'Cruz, Lynn; Nemati, Donya; Zabel, Samantha; Slaven, James E.
    BACKGROUND: Little is known about the consistency of initial NIHSS scores between neurologists and RNs in clinical practice. METHODS: A cohort study of patients with a code stroke was conducted at an urban academic Primary Stroke Center in the Midwest between January 1, 2018, and December 31, 2019 to determine consistency in National Institutes of Health Stroke Scale Scores (NIHSS) between neurologists and registered nurses (RNs). RESULTS: Among the 438 patients included in this study 65.3% (n = 286) of neurologist-RN NIHSS scoring pairs had congruent scores. One-in-three, (34.7%, n = 152) of neurologist-RN NIHSS scoring pairs had a clinically meaningful scoring difference of two points or greater. Higher NIHSS (p ≤ 0.01) and aphasia (p ≤ 0.01) were each associated with incongruent scoring between neurologist and emergency room RN pairs. CONCLUSIONS: One-in-three initial NIHSS assessed by both a neurologist and RN had a clinically meaningful score difference between providers. More severe stroke, as indicated by a higher NIHSS was associated with scoring inconsistency between neurologist-RN pairs. Subjective scoring measures, especially those involving a patient having aphasia, was associated with greater score incongruency. Score differences may be attributed to differences in NIHSS training requirements between neurologists and RNs.
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    Psychometric Testing of the Smoking Cessation Counseling Scale among Magnet® Hospital Nurses
    (Sage, 2017-04) Liu, Wen; Johantgen, Meg; Newhouse, Robin; School of Nursing
    Psychometrics of the Smoking Cessation Counseling Scale, which measures adherence to evidence-based smoking cessation counseling practice, were originally estimated among rural hospital nurses. The purpose of this study was to estimate the scale’s reliability, convergent validity, and factor structure among 289 nurses from 27 acute care Magnet® hospitals. The scale demonstrated acceptable estimates for internal consistency (Cronbach’s α = .95, 95% CI = [0.94, 0.96]). Convergent validity was supported by the association with comfort in conducting smoking cessation counseling (coefficient = 3.58, 95% CI = [2.80, 4.37]) and shared vision (coefficient = 0.72, 95% CI = [0.02, 1.42]). A four-factor structure (standard care, basic counseling, advanced counseling, and referral to services) was identified. Findings supported the scale’s reliability and convergent validity among Magnet® hospital nurses. Further testing is needed to confirm the four-factor structure and accumulate psychometric evidence among different nursing providers and health care settings to expand the use of the instrument.
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    Shared Vision Among Acute Care Magnet® Hospital Nurses
    (Sage, 2017-02) Liu, Wen; Johantgen, Meg; Newhouse, Robin; School of Nursing
    Psychometric testing of the Shared Vision (SV) scale that measures team efforts toward common patient-centered goals was initially estimated among rural hospital nurse executives. The purpose of this study was to estimate the scale’s reliability (internal consistency), convergent validity (Pearson correlation with Practice Environment Scale), and structural validity (ordinal confirmatory factor analysis) among acute care Magnet® hospital nurses. The study sample included 289 nurses from 27 acute care Magnet® hospitals. The scale demonstrated acceptable estimates for internal consistency (Cronbach’s α = .902, 95% confidence interval [CI] = [0.883, 0.919]), convergent validity (r = .720, p < .001), and structural validity with a one-factor structure. The findings of this study supported the reliability and validity of the SV scale as a unidimensional construct in measuring SV among nurses in acute care Magnet® hospitals. Further testing among different nursing providers and health care settings is needed to accumulate evidence and expand use of the instrument.