Leanne M. Currie

Fall and Injury Prevention

Falls and related injuries are increasingly being recognized as a nursing-sensitive quality indicator, and they continue to be an unsolved patient safety problem in inpatient and outpatient care areas as well as in the community at large. The purpose of this review is to summarize the current research related to fall and injury prevention. The chapter is organized presenting research in (1) the community and (2) acute and long-term care settings. For each setting, the research that addresses risk factors, risk assessment instruments, and fall and injury prevention efforts are reviewed. There is a large body of research that investigates fall and injury prevention across the care continuum. In the community setting, targeted risk evaluation in the emergency department and management of vitamin D deficiency appear to be promising preventive methods. However, further research needs to explore staffing ratios, automated methods of assessing and communicating fall risk, improved methods and timing of risk evaluation and methods by which existing and new evidence might be translated into practice.

Methodology for evaluating image-segmentation algorithms

The purpose of this paper is to describe a framework for evaluating image segmentation algorithms. Image segmentation consists of object recognition and delineation. For evaluating segmentation methods, three factors - precision (reproducibility), accuracy (agreement with truth, validity), and efficiency (time taken) - need to be considered for both recognition and delineation. To assess precision, we need to choose a figure of merit, repeat segmentation considering all sources of variation, and determine variations in figure of merit via statistical analysis. It is impossible usually to establish true segmentation. Hence, to assess accuracy, we need to choose a surrogate of true segmentation and proceed as for precision. In determining accuracy, it may be important to consider different landmark areas of the structure to be segmented depending on the application. To assess efficiency, both the computational and the user time required for algorithm and operator training and for algorithm execution should be measured and analyzed. Precision, accuracy, and efficiency are interdependent. It is difficult to improve one factor without affecting others. Segmentation methods must be compared based on all three factors. The weight given to each factor depends on application.

Dashboards for improving patient care : review of the literature

AIM This review aimed to provide a comprehensive overview of the current state of evidence for the use of clinical and quality dashboards in health care environments. METHODS A literature search was performed for the dates 1996-2012 on CINAHL, Medline, Embase, Cochrane Library, PsychInfo, Science Direct and ACM Digital Library. A citation search and a hand search of relevant papers were also conducted. RESULTS One hundred and twenty two full text papers were retrieved of which 11 were included in the review. There was considerable heterogeneity in implementation setting, dashboard users and indicators used. There was evidence that in contexts where dashboards were easily accessible to clinicians (such as in the form of a screen saver) their use was associated with improved care processes and patient outcomes. CONCLUSION There is some evidence that implementing clinical and/or quality dashboards that provide immediate access to information for clinicians can improve adherence to quality guidelines and may help improve patient outcomes. However, further high quality detailed research studies need to be conducted to obtain evidence of their efficacy and establish guidelines for their design.

Information Needs, Infobutton Manager Use, and Satisfaction by Clinician Type: A Case Study

To effectively meet clinician information needs at the point of care, we must understand how their needs are dependent on both context and clinician type. The Infobutton Manager (IM), accessed through a clinical information system, anticipates the clinicians questions and provides links to pertinent electronic resources. We conducted an observational usefulness case study of medical residents (MDs), nurse practitioners (NPs), registered nurses (RNs), and a physician assistant (PA), using the IM in a laboratory setting. Generic question types and success rates for each clinicians information needs were characterized. Question type frequency differed by clinician type. All clinician types asked for institution-specific protocols. The MDs asked about unfamiliar domains, RNs asked about physician order rationales, and NPs asked questions similar to both MDs and RNs. Observational data suggest that IM success rates may be improved by tailoring anticipated questions to clinician type. Clinicians reported that a more visible Infobutton may increase use.

The effect of a mobile clinical decision support system on the diagnosis of obesity and overweight in acute and primary care encounters.

The purpose of the study was to compare the proportion of obesity-related diagnoses in clinical encounters (N = 1874) documented by nurses using a personal digital assistant-based log with and without obesity decision support features. The experimental group encounters in the randomized controlled trial had significantly more (P = .000) obesity-related diagnoses (11.3%) than did the control group encounters (1%) and a significantly lower false negative rate (24.5% vs 66.5%, P = .000). The study findings provide evidence that integration of a decision support feature that automatically calculates an obesity-related diagnosis increases diagnoses and decreases missed diagnoses and suggest that such systems have the potential to improve the quality of obesity-related care.

Clinical cognition and biomedical informatics: issues of patient safety.

Recent developments in biomedical informatics research have afforded possibilities for great advances in health care delivery. These exciting opportunities also present a number of challenges to the implementation and integration of technologies in the workplace. As in most domains, there is a gulf between technologic artifacts and end users, which compromises the culture of safety in the workplace. Because clinical practice is a human endeavor, there is a need for bridging disciplines to enable clinicians to benefit from rapid technologic advances. This, in turn, necessitates a broadening of disciplinary boundaries to consider cognitive and social factors related to the design and use of technology. The authors argue for a place of prominence for cognitive science in understanding nursing factors associated with patient safety. Cognitive science provides a framework for the analysis and modeling of complex human performance. Studies of clinical cognition can meaningfully inform and shape design, development and assessment of information systems. Furthermore, they have a decisive impact on whether information technology has a positive influence on human performance and are especially important in understanding and promoting safe practices. These issues are discussed in the context of clinical informatics with a focus on nursing practice.

Agreement between common goals discussed and documented in the ICU

OBJECTIVE Meaningful use of electronic health records (EHRs) is dependent on accurate clinical documentation. Documenting common goals in the intensive care unit (ICU), such as sedation and ventilator management plans, may increase collaboration and decrease patient length of stay. This study analyzed the degree to which goals stated were present in the EHR. DESIGN Descriptive correlational study of common goals verbally stated during daily ICU interdisciplinary rounds compared with the presence of those goals, and actions related to those goals, documented in the EHR over the subsequent 24 h for 28 patients over 15 days. The study setting was a neurovascular ICU with a fully implemented electronic nursing and physician documentation system. MEASUREMENTS Descriptive statistics and χ(2) analyses were used to assess differences in EHR documentation of stated goals and goal-related actions. Inter-coder reliability was performed on 16 (13%) of the 127 stated goals. RESULTS One-quarter of the stated goals were not documented in the EHR. If a goal was not documented, actions related to that goal were 60% less likely to be documented. The attending physician note contained 81% of the stated ventilator weaning goals, but only 49% of the sedation weaning goals; additionally, sedation goals were not part of the structured nursing documentation. Inter-coder reliability (κ) was greater than 0.82. LIMITATIONS Observations in a single ICU setting at a large academic medical center using a commercial EHR. CONCLUSION The current documentation tools available in EHRs may not be sufficient to capture common goals of ICU patient care.

Adequacy of evolving national standardized terminologies for interdisciplinary coded concepts in an automated clinical pathway

PURPOSE The purpose of this analysis was to determine the adequacy of evolving national standardized terminologies with regard to coded data elements (concepts) in an automated clinical pathway designed to drive adherence with the American College of Cardiology (ACC)/American Heart Association (AHA) Guidelines for Evaluation and Management of Chronic Heart Failure. METHOD Concepts were identified in a previously developed automated clinical pathway and associated tools. Once identified, concepts were categorized according to the conceptual domains identified by Campbell et al. (1997). A review of evolving national standardized terminologies and coding systems was initiated to determine if the identified concepts had corresponding representation in one of these coding systems. Available codes were then evaluated for adequacy with respect to national guideline adherence measures put forth by the Centers for Medicare/Medicaid Services (CMS) and Joint Commission on Accreditation of Healthcare Organizations (JCAHO). RESULTS The concept domain model put forth by Campbell et al. (1997) worked well for organizing concepts and for providing a useful framework for data analysis. Using our method, 260 unique pathway concepts were identified, of which, 91.9% (239) are represented by one or more of the standardized coding systems. Logical Observation Identifiers Names and Codes (LOINC) and SNOMED CT alone represented 86.2% of the concepts. Seventy percent (70%) of the clinical pathway concepts are represented using the Health Insurance Portability and Accountability Act (HIPAA) mandated national terminologies alone. Less than 50% of CMS and JCAHO guideline adherence concepts were found to have representation in the HIPAA mandated terminologies. The addition of Logical Observation Identifier Names and Codes (LOINC) and SNOMED CT improved representation up to 86.4%, but did not include representation of all concepts necessary for complete electronic monitoring of guideline adherence. CONCLUSIONS Evolving national standardized terminologies provided matching terms for the majority of the data elements in the automated clinical pathway. Standard clinical terminologies with granular terms such as LOINC and SNOMED CT are required to represent the depth and detail of certain procedures and guideline-based care. Gaps exist in Health Insurance Portability and Accountability Act (HIPAA) mandated terminologies for representing interdisciplinary concepts in national adherence measures.

Web-Based Hazard and Near-Miss Reporting as Part of a Patient Safety Curriculum

As part of a patient safety curriculum, we developed a Web-based hazard and near-miss reporting system for postbaccalaureate nursing students to use during their clinical experiences in the first year of their combined BS-MS advanced practice nurse program. The 25-week clinical rotations included 2 days per week for 5 weeks each in community, medical-surgical, obstetrics, pediatrics, and psychiatric settings. During a 3-year period, 453 students made 21,276 reports. Of the 10,206 positive (yes) responses to a hazard or near miss, 6,005 hazards (59%) and 4,200 near misses (41%) were reported. The most common reports were related to infection, medication, environmental, fall, and equipment issues. Of the near misses, 1,996 (48%) had planned interceptions and 2,240 (52%) had unplanned interceptions. Types of hazards and near misses varied by rotation. Incorporating hazard and near-miss reporting into the patient safety curriculum was an innovative strategy to promote mindfulness among nursing students.

Implementing evidence-based nursing with student nurses and clinicians: Uniting the strengths

Implementing evidence-based practice (EBP) is challenging for both clinicians and students. Facilitating collaboration among students and clinicians can improve the process of both teaching EBP in the academic setting and utilizing EBP in the clinical setting. A unique and successful EBP program is described, and other schools are encouraged to emulate this model.