Mollie R. Cummins

Risk factors for pressure injuries among critical care patients: A systematic review

OBJECTIVE To identify risk factors independently predictive of pressure injury (also known as pressure ulcer) development among critical-care patients. DESIGN We undertook a systematic review of primary research based on standardized criteria set forth by the Institute of Medicine. DATA SOURCES We searched the following databases: CINAHL (EBSCOhost), the Cochrane Library (Wilson), Dissertations & Theses Global (ProQuest), PubMed (National Library of Medicine), and Scopus. There was no language restriction. METHOD A research librarian coordinated the search strategy. Articles that potentially met inclusion criteria were screened by two investigators. Among the articles that met selection criteria, one investigator extracted data and a second investigator reviewed the data for accuracy. Based on a literature search, we developed a tool for assessing study quality using a combination of currently available tools and expert input. We used the method developed by Coleman et al. in 2014 to generate evidence tables and a summary narrative synthesis by domain and subdomain. RESULTS Of 1753 abstracts reviewed, 158 were identified as potentially eligible and 18 fulfilled eligibility criteria. Five studies were classified as high quality, two were moderate quality, nine were low quality, and two were of very low quality. Age, mobility/activity, perfusion, and vasopressor infusion emerged as important risk factors for pressure injury development, whereas results for risk categories that are theoretically important, including nutrition, and skin/pressure injury status, were mixed. Methodological limitations across studies limited the generalizability of the results, and future research is needed, particularly to evaluate risk conferred by altered nutrition and skin/pressure injury status, and to further elucidate the effects of perfusion-related variables. CONCLUSIONS Results underscore the importance of avoiding overinterpretation of a single study, and the importance of taking study quality into consideration when reviewing risk factors. Maximal pressure injury prevention efforts are particularly important among critical-care patients who are older, have altered mobility, experience poor perfusion, or who are receiving a vasopressor infusion.

Data standards to support health information exchange between poison control centers and emergency departments.

OBJECTIVE Poison control centers (PCCs) routinely collaborate with emergency departments (EDs) to provide care for poison-exposed patients. During this process, a significant amount of information is exchanged between EDs and PCCs via telephone, leading to important inefficiencies and safety vulnerabilities. In the present work, we identified and assessed a set of data standards to enable a standards-based health information exchange process between EDs and PCCs. MATERIALS AND METHODS Based on a reference model for PCC-ED health information exchange, we (1) mapped PCC-ED information exchange events to clinical documents specified in the Health Level Seven (HL7) Consolidated Clinical Document Architecture (C-CDA) Standard, and (2) mapped information types routinely exchanged in PCC-ED telephone conversations to C-CDA sections. RESULTS Four C-CDA document types were necessary to support the PCC-ED information exchange process: History & Physical Note, Consultation Note, Progress Note, and Discharge Summary. Information types that are commonly exchanged between PCCs and EDs can be reasonably well represented within these C-CDA documents. CONCLUSIONS A standards-based health information exchange process between PCCs and EDs appears to be feasible given a set of clinical data standards that are required for EHR certification in the USA, although the proposed approach still needs to be validated in actual system implementations. Such a process has the potential to improve the safety and efficiency of PCC-ED communication, ultimately resulting in improved patient care outcomes.

Electronic information exchange between emergency departments and poison control centers: A Delphi study

Context. The US emergency departments and poison control centers use telephone communication to exchange information about poison exposed patients. Electronically exchanged patient information could better support care for poisoned patients by improving information availability for decision making and by decreasing unnecessary emergency department telephone interruptions. As federal initiatives push to increase clinical health information exchange (HIE), it is essential to assess the readiness of US poison control centers. We conducted a nationwide Delphi study to determine consensus on legal, operational, and clinical considerations that are important for electronic information exchange between emergency departments and poison control centers. Materials and methods. A national panel of US experts (n = 71) in emergency medicine and poison control participated in a Delphi study, September–December 2010. Panelists rated statements describing concepts related to implementation, adoption, or potential outcomes of electronic information exchange between emergency departments and poison control centers. The statements reflected panelist responses to initial open-ended questions and literature-based concepts. Results. A total of 71 panelists agreed to participate. The response rate for each round ranged from 0.73 to 0.77. Most (114/121) statements reached consensus. Seven statements failed to reach consensus. Panelists indicated that user involvement in the design of systems and tools is important. Workflow integration, safety, evidence of benefit, and outcomes are high-importance issues. Discussion/conclusions. Future research and development related to electronic information exchange should address high-importance issues: safety, patient outcomes, workflow integration, and evidence of benefit. It should also address key barriers: initial and ongoing costs associated with electronic information exchange, the absence of software and tools to facilitate exchange, and the need for training. Users should be involved in the design of an electronic information exchange process, and the process should support, not replace, verbal communication.

High call volume at poison control centers: identification and implications for communication

Context. High volume surges in health care are uncommon and unpredictable events. Their impact on health system performance and capacity is difficult to study. Objectives. To identify time periods that exhibited very busy conditions at a poison control center and to determine whether cases and communication during high volume call periods are different from cases during low volume periods. Methods. Call data from a US poison control center over twelve consecutive months was collected via a call logger and an electronic case database (Toxicall®).Variables evaluated for high call volume conditions were: (1) call duration; (2) number of cases; and (3) number of calls per staff member per 30 minute period. Statistical analyses identified peak periods as busier than 99% of all other 30 minute time periods and low volume periods as slower than 70% of all other 30 minute periods. Case and communication characteristics of high volume and low volume calls were compared using logistic regression. Results. A total of 65,364 incoming calls occurred over 12 months. One hundred high call volume and 4885 low call volume 30 minute periods were identified. High volume periods were more common between 1500 and 2300 hours and during the winter months. Coded verbal communication data were evaluated for 42 high volume and 296 low volume calls. The mean (standard deviation) call length of these calls during high volume and low volume periods was 3 minutes 27 seconds (1 minute 46 seconds) and 3 minutes 57 seconds (2 minutes 11 seconds), respectively. Regression analyses revealed a trend for fewer overall verbal statements and fewer staff questions during peak periods, but no other significant differences for staff-caller communication behaviors were found. Conclusion. Peak activity for poison center call volume can be identified by statistical modeling. Calls during high volume periods were similar to low volume calls. Communication was more concise yet staff was able to maintain a good rapport with callers during busy call periods. This approach allows evaluation of poison exposure call characteristics and communication during high volume periods.

Inefficiencies and vulnerabilities of telephone-based communication between U. S. poison control centers and emergency departments

Context. Poison control centers (PCCs) and emergency departments (EDs) rely upon telephone communication to collaborate. PCCs and EDs each create electronic records for the same patient during the course of collaboration, but those electronic records are not shared. Objective. The purpose of this study was to describe the current, telephone based process of PCC–ED communication as the basis for potential process improvement. Materials and methods. This study was conducted at one PCC and two tertiary care EDs. We developed workflow diagrams to depict clinician descriptions of the current process, descriptions obtained through interviews of key informants. We also analyzed transcripts of phone calls between emergency departments and the poison control center, corresponding to a random sample of 120 PCC cases occurring January 1–December 31, 2011. Results. Collaboration between the ED and PCC takes place during multiple telephone calls, and the process is unsupported by shared documentation. The process occurs in three phases: notification, collaborative care, and ongoing consultation. In the ED, multiple care providers may communicate with the PCC, but only one ED care provider communicates with the poison control center specialist at a time. Handoffs occur for both ED and PCC. Collaborative care planning is common and most cases involve some type of request for information, whether vital signs, laboratory results, or verification that a treatment was administered. We found evidence of inefficiencies and safety vulnerabilities, including the inability of PCC specialists to reach ED care providers, telephone calls routed through multiple ED staff members in an attempt to reach the appropriate care provider, and exchange of clinical information with non-clinical staff. In 55% of cases, the patient was discharged prior to any synchronous telephone communication between the ED care provider and a PCC specialist. Ambiguous communication of information was observed in 22% of cases. In 12% of cases, a PCC specialist was unable to obtain requested information from the ED. Discussion and conclusion. Inefficiencies and vulnerabilities occur in telephone-based PCC–ED communication. Prudence begs consideration of alternative processes and models of ED–PCC communication and information sharing, including a process that supports collaboration with health information exchange.

Nonhypothesis-Driven Research: Data Mining and Knowledge Discovery

Clinical information, stored over time, is a potentially rich source of data for clinical research. Knowledge discovery in databases (KDD), commonly known as data mining, is a process for pattern discovery and predictive modeling in large databases. KDD makes extensive use of data mining methods, automated processes, and algorithms that enable pattern recognition. Characteristically, data mining involves the use of machine learning methods developed in the domain of artificial intelligence. These methods have been applied to healthcare and biomedical data for a variety of purposes with good success and potential or realized clinical translation. Herein, the Fayyad model of knowledge discovery in databases is introduced. The steps of the process are described with select examples from clinical research informatics. These steps range from initial data selection to interpretation and evaluation. Commonly used data mining methods are surveyed: artificial neural networks, decision tree induction, support vector machines (kernel methods), association rule induction, and k-nearest neighbor. Methods for evaluating the models that result from the KDD process are closely linked to methods used in diagnostic medicine. These include the use of measures derived from a confusion matrix and receiver operating characteristic curve analysis. Data partitioning and model validation are critical aspects of evaluation. International efforts to develop and refine clinical data repositories are critically linked to the potential of these methods for developing new knowledge.

Standardized Nursing Data and the Oncology Nurse

Oncology nurses are experts in conducting comprehensive assessments of symptoms and patient responses to treatments, but documentation in electronic health records frequently results in data that cannot be readily shared or compared because of a lack of standardization of the terms. Standardized nursing terminology can enhance communication among nurses and between nurses and other members of the healthcare team. It can improve care coordination and may enable nurses to capture and make visible the unique, holistic perspective that they provide to patient care. Standardization also is important for large-scale data aggregation, which will enable healthcare teams to learn about particular subsets of patients so that care can be tailored to individual characteristics and responses.

Software Prototyping: A Case Report of Refining User Requirements for a Health Information Exchange Dashboard.

BACKGROUND Health information exchange (HIE) between Poison Control Centers (PCCs) and Emergency Departments (EDs) could improve care of poisoned patients. However, PCC information systems are not designed to facilitate HIE with EDs; therefore, we are developing specialized software to support HIE within the normal workflow of the PCC using user-centered design and rapid prototyping. OBJECTIVE To describe the design of an HIE dashboard and the refinement of user requirements through rapid prototyping. METHODS Using previously elicited user requirements, we designed low-fidelity sketches of designs on paper with iterative refinement. Next, we designed an interactive high-fidelity prototype and conducted scenario-based usability tests with end users. Users were asked to think aloud while accomplishing tasks related to a case vignette. After testing, the users provided feedback and evaluated the prototype using the System Usability Scale (SUS). RESULTS Survey results from three users provided useful feedback that was then incorporated into the design. After achieving a stable design, we used the prototype itself as the specification for development of the actual software. Benefits of prototyping included having 1) subject-matter experts heavily involved with the design; 2) flexibility to make rapid changes, 3) the ability to minimize software development efforts early in the design stage; 4) rapid finalization of requirements; 5) early visualization of designs; 6) and a powerful vehicle for communication of the design to the programmers. Challenges included 1) time and effort to develop the prototypes and case scenarios; 2) no simulation of system performance; 3) not having all proposed functionality available in the final product; and 4) missing needed data elements in the PCC information system.

Leaders in Nursing Informatics Education and Research: The University of Utah Celebrates 25 Years.

The University of Utah celebrates 25 years of specialty education in nursing informatics (NI) this year and remains one of themost highly rankedNI programs in theUnited States. The program has made major contributions to the field of NI by educating NI leaders and incubating cutting-edge NI research. Of particular note, the University of Utah College of Nursing pioneered interprofessional informatics education in partnership with the School of Medicine’s Department of Biomedical Informatics. As we celebrate this remarkable milestone, we pay tribute to the pioneers and innovators of NI and look to the future of NI education and research.

Midrange Braden Subscale Scores Are Associated With Increased Risk for Pressure Injury Development Among Critical Care Patients.

PURPOSE: The purpose of the current study was to examine the relationship between pressure injury development and the Braden Scale for Pressure Sore Risk subscale scores in a surgical intensive care unit (ICU) population and to ascertain whether the risk represented by the subscale scores is different between older and younger patients. DESIGN: Retrospective review of electronic medical records. SUBJECTS AND SETTING: The sample comprised patients admitted to the ICU at an academic medical center in the Western United States (Utah) and Level 1 trauma center between January 1, 2008 and May 1, 2013. Analysis is based on data from 6377 patients. METHODS: Retrospective chart review was used to determine Braden Scale total and subscale scores, age, and incidence of pressure injury development. We used survival analysis to determine the hazards of developing a pressure injury associated with each subscale of the Braden Scale, with the lowest-risk category as a reference. In addition, we used time-dependent Cox regression with natural cubic splines to model the interaction between age and Braden Scale scores and subscale scores in pressure injury risk. RESULTS: Of the 6377 ICU patients, 214 (4%) developed a pressure injury (stages 2-4, deep tissue injury, or unstageable) and 516 (8%) developed a hospital-acquired pressure injury of any stage. With the exception of the friction and shear subscales, regardless of age, individuals with scores in the intermediate-risk levels had the highest likelihood of developing pressure injury. CONCLUSION: The relationship between age, Braden Scale subscale scores, and pressure injury development varied among subscales. Maximal preventive efforts should be extended to include individuals with intermediate Braden Scale subscale scores, and age should be considered along with the subscale scores as a factor in care planning.