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NURSING RESEARCH IS NO LONGER solely the purview of nursing faculty in academia. Inquiry and science are fundamental to raising the bar in nursing practice, improving the patient experience, and enhancing patient outcomes. Acute care hospital environments provide excellent settings for clinical nurs

Background Oral care is standard practice to prevent hospital-associated infections while patients are intubated and in the intensive care unit. Following extubation and transfer, infections remain an important risk for patients, but less attention is paid to oral care. Few studies have assessed the impact of oral care in recently extubated acutely ill patients. Aims To develop an evidence-based oral care protocol for hospitalized patients and determine the impact of this protocol on health outcomes in recently extubated patients. Methods In this randomized controlled trial, subjects were randomized to usual care or an intervention protocol that included tooth brushing, tongue scraping, flossing, mouth rinsing, and lip care. Major outcome measures were the revised THROAT (R-THROAT; oral cavity assessment) and overall prevalence of methicillin-sensitive Staphylococcus aureus and methicillin-resistant S. aureus on oral cultures. Results Seventy-four subjects were randomized. As measured by the R-THROAT, oral cavity health improved over time in both groups, but the intervention group demonstrated significantly more improvement than the control group (R-THROAT score improved by 1.97 intervention vs. 0.87 control; p = .04). Two categories, tongue and mouth comfort, demonstrated the most significant improvement. There was no difference in MSSA/MRSA colonization between the groups at the conclusion of the study. Overall, subjects in the intervention group were more satisfied with their protocol than subjects in the usual care group. Linking Evidence to Action This study offers an important evaluation of an oral care protocol after extubation. Results demonstrated improvement in the oral cavity assessment with the designed oral care protocol. Patients expressed a preference for the intervention protocol, which included a battery-operated toothbrush, higher-quality toothpaste and mouth rinse, tongue scraper, floss, and lip balm. The implementation of an oral care protocol specifically addressing patients in the immediate postintubation is essential.

Background and Purpose: Nurses’ attitudes play an important role in the consistent practice of safe patient handling behaviors. The purposes of this study were to develop and assess the psychometric properties of a newly developed instrument measuring attitudes of nurses related to the care and safe handling of patients who are obese. Methods: Phases of instrument development included (a) item generation, (b) content validity assessment, (c) reliability assessment, (d) cognitive interviewing, and (e) construct validity assessment through factor analysis. Results: The final data from the exploratory factor analysis produced a 26-item multidimensional instrument that contains 9 subscales. Conclusions: Based on the factor analysis, a 26-item instrument can be used to examine nurses’ attitudes regarding patients who are morbidly obese and related safe handling practices.

Background We develop predictive models enabling clinicians to better understand and explore patient clinical data along with risk factors for pressure ulcers in intensive care unit patients from electronic health record data. Identifying accurate risk factors of pressure ulcers is essential to determining appropriate prevention strategies; in this work we examine medication, diagnosis, and traditional Braden pressure ulcer assessment scale measurements as patient features. In order to predict pressure ulcer incidence and better understand the structure of related risk factors, we construct Bayesian networks from patient features. Bayesian network nodes (features) and edges (conditional dependencies) are simplified with statistical network techniques. Upon reviewing a network visualization of our model, our clinician collaborators were able to identify strong relationships between risk factors widely recognized as associated with pressure ulcers. Methods We present a three-stage framework for predictive analysis of patient clinical data: 1) Developing electronic health record feature extraction functions with assistance of clinicians, 2) simplifying features, and 3) building Bayesian network predictive models. We evaluate all combinations of Bayesian network models from different search algorithms, scoring functions, prior structure initializations, and sets of features. Results From the EHRs of 7,717 ICU patients, we construct Bayesian network predictive models from 86 medication, diagnosis, and Braden scale features. Our model not only identifies known and suspected high PU risk factors, but also substantially increases sensitivity of the prediction - nearly three times higher comparing to logistical regression models - without sacrificing the overall accuracy. We visualize a representative model with which our clinician collaborators identify strong relationships between risk factors widely recognized as associated with pressure ulcers. Conclusions Given the strong adverse effect of pressure ulcers on patients and the high cost for treating pressure ulcers, our Bayesian network based model provides a novel framework for significantly improving the sensitivity of the prediction model. Thus, when the model is deployed in a clinical setting, the caregivers can suitably respond to conditions likely associated with pressure ulcer incidence.

Our goal in this study is to find risk factors associated with Pressure Ulcers (PUs) and to develop predictive models of PU incidence. We focus on Intensive Care Unit (ICU) patients since patients admitted to ICU have shown higher incidence of PUs. The most common PU incidence assessment tool is the Braden scale, which sums up six subscale features. In an ICU setting it’s known drawbacks include omission of important risk factors, use of subscale features not significantly associated with PU incidence, and yielding too many false positives. To improve on this, we extract medication and diagnosis features from patient EHRs. Studying Braden, medication, and diagnosis features and combinations thereof, we evaluate six types of predictive models and find that diagnosis features significantly improve the models’ predictive power. The best models combine Braden and diagnosis. Finally, we report the top diagnosis features which compared to Braden improve AUC by 10%.

Oral care is standard practice to prevent hospital-associated infections while patients are intubated and in the intensive care unit. Following extubation and transfer, infections remain an important risk for patients, but less attention is paid to oral care. Few studies have assessed the impact of oral care in recently extubated acutely ill patients.To develop an evidence-based oral care protocol for hospitalized patients and determine the impact of this protocol on health outcomes in recently extubated patients.In this randomized controlled trial, subjects were randomized to usual care or an intervention protocol that included tooth brushing, tongue scraping, flossing, mouth rinsing, and lip care. Major outcome measures were the revised THROAT (R-THROAT; oral cavity assessment) and overall prevalence of methicillin-sensitive Staphylococcus aureus and methicillin-resistant S. aureus on oral cultures.Seventy-four subjects were randomized. As measured by the R-THROAT, oral cavity health improved over time in both groups, but the intervention group demonstrated significantly more improvement than the control group (R-THROAT score improved by 1.97 intervention vs. 0.87 control; p = .04). Two categories, tongue and mouth comfort, demonstrated the most significant improvement. There was no difference in MSSA/MRSA colonization between the groups at the conclusion of the study. Overall, subjects in the intervention group were more satisfied with their protocol than subjects in the usual care group.This study offers an important evaluation of an oral care protocol after extubation. Results demonstrated improvement in the oral cavity assessment with the designed oral care protocol. Patients expressed a preference for the intervention protocol, which included a battery-operated toothbrush, higher-quality toothpaste and mouth rinse, tongue scraper, floss, and lip balm. The implementation of an oral care protocol specifically addressing patients in the immediate postintubation is essential.

Obesity contributes to immobility and subsequent pressure on skin surfaces. Knowledge of the relationship between obesity and development of pressure ulcers in intensive care patients will provide better understanding of which patients are at high risk for pressure ulcers and allow more efficient prevention.To examine the incidence of pressure ulcers in patients who differ in body mass index and to determine whether inclusion of body mass index enhanced use of the Braden scale in the prediction of pressure ulcers.In this retrospective cohort study, data were collected from the medical records of 4 groups of patients with different body mass index values: underweight, normal weight, obese, and extremely obese. Data included patients' demographics, body weight, score on the Braden scale, and occurrence of pressure ulcers.The incidence of pressure ulcers in the underweight, normal weight, obese, and extremely obese groups was 8.6%, 5.5%, 2.8%, and 9.9%, respectively. When both the score on the Braden scale and the body mass index were predictive of pressure ulcers, extremely obese patients were about 2 times more likely to experience an ulcer than were normal weight patients. In the final model, the area under the curve was 0.71. The baseline area under the curve for the Braden scale was 0.68.Body mass index and incidence of pressure ulcers were related in intensive care patients. Addition of body mass index did not appreciably improve the accuracy of the Braden scale for predicting pressure ulcers.

Patients in intensive care units are at higher risk for development of pressure ulcers than other patients. In order to prevent pressure ulcers from developing in intensive care patients, risk for development of pressure ulcers must be assessed accurately.To evaluate the predictive validity of the Braden scale for assessing risk for development of pressure ulcers in intensive care patients by using 4 years of data from electronic health records. Methods Data from the electronic health records of patients admitted to intensive care units between January 1, 2007, and December 31, 2010, were extracted from the data warehouse of an academic medical center. Predictive validity was measured by using sensitivity, specificity, positive predictive value, and negative predictive value. The receiver operating characteristic curve was generated, and the area under the curve was reported.A total of 7790 intensive care patients were included in the analysis. A cutoff score of 16 on the Braden scale had a sensitivity of 0.954, specificity of 0.207, positive predictive value of 0.114, and negative predictive value of 0.977. The area under the curve was 0.672 (95% CI, 0.663-0.683). The optimal cutoff for intensive care patients, determined from the receiver operating characteristic curve, was 13.The Braden scale shows insufficient predictive validity and poor accuracy in discriminating intensive care patients at risk of pressure ulcers developing. The Braden scale may not sufficiently reflect characteristics of intensive care patients. Further research is needed to determine which possibly predictive factors are specific to intensive care units in order to increase the usefulness of the Braden scale for predicting pressure ulcers in intensive care patients.

Introduction We set a goal to reduce the incidence rate of catheter-related bloodstream infections to rate of