An Integrative Review of the State of POLST Science: What Do We Know and Where Do We Go?

OBJECTIVES: POLST is widely used in the care of seriously ill patients to document decisions made during advance care planning (ACP) conversations as actionable medical orders. We conducted an integrative review of existing research to better understand associations between POLST use and key ACP outcomes as well as to identify directions for future research. DESIGN: Integrative review. SETTING AND PARTICIPANTS: Not applicable. METHODS: We queried PubMed and CINAHL databases using names of POLST programs to identify research on POLST. We abstracted study information and assessed study design quality. Study outcomes were categorized using the international ACP Outcomes Framework: Process, Action, Quality of Care, Health Status, and Healthcare Utilization. RESULTS: Of 94 POLST studies identified, 38 (40%) had at least a moderate level of study design quality and 15 (16%) included comparisons between POLST vs non-POLST patient groups. There was a significant difference between groups for 40 of 70 (57%) ACP outcomes. The highest proportion of significant outcomes was in Quality of Care (15 of 19 or 79%). In subdomain analyses of Quality of Care, POLST use was significantly associated with concordance between treatment and documentation (14 of 18 or 78%) and preferences concordant with documentation (1 of 1 or 100%). The Action outcome domain had the second highest positive rate among outcome domains; 9 of 12 (75%) Action outcomes were significant. Healthcare Utilization outcomes were the most frequently assessed and approximately half (16 of 35 or 46%) were significant. Health Status outcomes were not significant (0 of 4 or 0%), and no Process outcomes were identified. CONCLUSIONS AND IMPLICATIONS: Findings of this review indicate that POLST use is significantly associated with a Quality of Care and Action outcomes, albeit in nonrandomized studies. Future research on POLST should focus on prospective mixed methods studies and high-quality pragmatic trials that assess a broad range of person and health system-level outcomes.

Clinical Knowledge Model for the Prevention of Healthcare-Associated Venous Thromboembolism.

Knowledge models inform organizational behavior through the logical association of documentation processes, definitions, data elements, and value sets. The development of a well-designed knowledge model allows for the reuse of electronic health record data to promote efficiency in practice, data interoperability, and the extensibility of data to new capabilities or functionality such as clinical decision support, quality improvement, and research. The purpose of this article is to describe the development and validation of a knowledge model for healthcare-associated venous thromboembolism prevention. The team used FloMap, an Internet-based survey resource, to compare metadata from six healthcare organizations to an initial draft model. The team used consensus decision-making over time to compare survey results. The resulting model included seven panels, 41 questions, and 231 values. A second validation step included completion of an Internet-based survey with 26 staff nurse respondents representing 15 healthcare organizations, two electronic health record vendors, and one academic institution. The final knowledge model contained nine Logical Observation Identifiers Names and Codes panels, 32 concepts, and 195 values representing an additional six panels (groupings), 15 concepts (questions), and the specification of 195 values (answers). The final model is useful for consistent documentation to demonstrate the contribution of nursing practice to the prevention of venous thromboembolism.

Data-Centric Machine Learning in Nursing: A Concept Clarification.

The ubiquity of electronic health records and health information exchanges has generated abundant administrative and clinical healthcare data. The vastness of this rich dataset presents an opportunity for emerging technologies (eg, artificial intelligence and machine learning) to assist clinicians and healthcare administrators with decision-making, predictive analytics, and more. Multiple studies have cited various applications for artificial intelligence and machine learning in nursing. However, what is unknown in the nursing discipline is that while greater than 90% of machine-learning implementations use a model-centric strategy, a fundamental change is occurring. Because of the limitations of this approach, the industry is beginning to pivot toward data-centric artificial intelligence. Nurses should be aware of the differences, including how each approach affects their engagement in designing human-intelligent-like technologies and their data usage, especially regarding electronic health records. Using the Norris Concept Clarification method, this article elucidates the data-centric machine learning concept for nursing. This is accomplished by (1) exploring the concept's origins in the data and computer science disciplines; (2) differentiating data- versus model-centric machine learning approaches, including introducing the machine-learning operation life cycle and process; and (3) explaining the advantages of the data-centric phenomenon, especially concerning nurses' engagement in technological design and proper data usage.

The case for expressing nursing theories using ontologies.

Nursing and informatics share a common strength in their use of structured representations of domains, specifically the underlying notion of 'things' (ie, concepts, constructs, or named entities) and the relationships among those things. Accurate representation of nursing knowledge in machine-interpretable formats is a necessary next step for leveraging contemporary technologies. Expressing validated nursing theories in ontologies, and in particular formal ontologies, would serve not only nursing, but also investigators from other domains, clinical information system developers, and the users of advanced technologies such as artificial intelligence that seek to learn from the real-world data and evidence generated by nurses and others. Such efforts will enable sharing knowledge and conceptualizations about phenomena across the domains of nursing and generating, testing, revising, and providing theoretically-based perspectives when leveraging contemporary technologies. Nursing is well situated for this work, leveraging intentional and focused collaborations among nurse informaticists, scientists, and theorists.

Evaluating and Extending the Informed Consent Ontology for Representing Permissions from the Clinical Domain.

The purpose of this study was to evaluate, revise, and extend the Informed Consent Ontology (ICO) for expressing clinical permissions, including reuse of residual clinical biospecimens and health data. This study followed a formative evaluation design and used a bottom-up modeling approach. Data were collected from the literature on US federal regulations and a study of clinical consent forms. Eleven federal regulations and fifteen permission-sentences from clinical consent forms were iteratively modeled to identify entities and their relationships, followed by community reflection and negotiation based on a series of predetermined evaluation questions. ICO included fifty-two classes and twelve object properties necessary when modeling, demonstrating appropriateness of extending ICO for the clinical domain. Twenty-six additional classes were imported into ICO from other ontologies, and twelve new classes were recommended for development. This work addresses a critical gap in formally representing permissions clinical permissions, including reuse of residual clinical biospecimens and health data. It makes missing content available to the OBO Foundry, enabling use alongside other widely-adopted biomedical ontologies. ICO serves as a machine-interpretable and interoperable tool for responsible reuse of residual clinical biospecimens and health data at scale.

Three-Year Nursing PhD Model Recommendations from the RWJF Future of Nursing Scholars.

BACKGROUND: In response to the 2011 Future of Nursing report, the Robert Wood Johnson Foundation created the Future of Nursing Scholars (FNS) Program in partnership with select schools of nursing to increase the number of PhD-prepared nurses using a 3-year curriculum. METHOD: A group of scholars and FNS administrative leaders reflect on lessons learned for stakeholders planning to pursue a 3-year PhD model using personal experiences and extant literature. RESULTS: Several factors should be considered prior to engaging in a 3-year PhD timeline, including mentorship, data collection approaches, methodological choices, and the need to balance multiple personal and professional loyalties. Considerations, strategies, and recommendations are provided for schools of nursing, faculty, mentors, and students. CONCLUSION: The recommendations provided add to a growing body of knowledge that will create a foundation for understanding what factors constitute "success" for both PhD programs and students. [J Nurs Educ. 2022;61(1):19-28.].

Regulations and Norms for Reuse of Residual Clinical Biospecimens and Health Data.

Nurse scientists are increasingly interested in conducting secondary research using real world collections of biospecimens and health data. The purposes of this scoping review are to (a) identify federal regulations and norms that bear authority or give guidance over reuse of residual clinical biospecimens and health data, (b) summarize domain experts' interpretations of permissions of such reuse, and (c) summarize key issues for interpreting regulations and norms. Final analysis included 25 manuscripts and 23 regulations and norms. This review illustrates contextual complexity for reusing residual clinical biospecimens and health data, and explores issues such as privacy, confidentiality, and deriving genetic information from biospecimens. Inconsistencies make it difficult to interpret, which regulations or norms apply, or if applicable regulations or norms are congruent. Tools are necessary to support consistent, expert-informed consent processes and downstream reuse of residual clinical biospecimens and health data by nurse scientists.

Which Factors Promote Shared Understanding Between Physicians and Nurses in Inpatient Oncology Care Settings?: A Qualitative Exploration.

BACKGROUND: Effective communication between physicians and nurses is crucial to the safety of patients, especially for those with cancer, which is a complex disease requiring multidisciplinary treatment. However, little is known about the factors that contribute to effective communication, which is defined as the development of shared understanding between two or more people. OBJECTIVE: This qualitative secondary analysis was conducted to identify factors that contribute to shared understanding between physicians and nurses from video-recorded conversations that occurred between them during inpatient rounds on oncology units. METHODS: We used inductive grounded theory to identify videos depicting moments of shared understanding. We then searched for preceding events to develop a preliminary conceptual model that described the factors contributing to shared understanding. RESULTS: Four factors emerged as contributors to shared understanding: engagement, clarification, confirmation, and resolution. These factors occurred in sequence with engagement occurring first and resolution occurring last, as the closure of a communication exchange. CONCLUSIONS: Existing interventions to improve communication include some of the factors identified as contributing to shared understanding (eg, closed-loop communications require clarification and confirmation). However, nurses may need to pay attention to all four factors to develop shared understanding that will promote effective communication with physicians and thereby enhance cancer care. IMPLICATIONS FOR PRACTICE: Nurses achieve effective communication when they are assertive and avoid indirect communication. A greater awareness of body language and positioning in relation to a physician at the start of a communication exchange may increase the effectiveness of nurse-physician communication.

Lessons Learned for Identifying and Annotating Permissions in Clinical Consent Forms.

BACKGROUND: The lack of machine-interpretable representations of consent permissions precludes development of tools that act upon permissions across information ecosystems, at scale. OBJECTIVES: To report the process, results, and lessons learned while annotating permissions in clinical consent forms. METHODS: We conducted a retrospective analysis of clinical consent forms. We developed an annotation scheme following the MAMA (Model-Annotate-Model-Annotate) cycle and evaluated interannotator agreement (IAA) using observed agreement (A o), weighted kappa (κw ), and Krippendorff's α. RESULTS: The final dataset included 6,399 sentences from 134 clinical consent forms. Complete agreement was achieved for 5,871 sentences, including 211 positively identified and 5,660 negatively identified as permission-sentences across all three annotators (A o = 0.944, Krippendorff's α = 0.599). These values reflect moderate to substantial IAA. Although permission-sentences contain a set of common words and structure, disagreements between annotators are largely explained by lexical variability and ambiguity in sentence meaning. CONCLUSION: Our findings point to the complexity of identifying permission-sentences within the clinical consent forms. We present our results in light of lessons learned, which may serve as a launching point for developing tools for automated permission extraction.

Development and preliminary testing of the collaboration for leadership and innovation in mentoring survey: An instrument of nursing PhD mentorship quality.

BACKGROUND: High-quality PhD nursing student mentorship facilitates student and program success. Extant literature recommends evaluating and improving mentorship to foster optimal PhD student development. However, a comprehensive measure capturing all aspects of mentorship salient to PhD nursing student wellbeing and success is not available. OBJECTIVES: The purpose of this pilot study was to develop a new instrument - the Collaboration for Leadership and Innovation in Mentoring (CLIM) - for quantifying important components of PhD student mentorship in nursing, and to preliminarily test its psychometric properties (content validity, sensitivity, test-retest reliability). DESIGN: The study employed a cross-sectional design. SETTING: The CLIM instrument was administered to nursing PhD students at a public state university in the United States. PARTICIPANTS: Sixteen nursing PhD students at various stages in their degree progression completed the instrument. METHODS: PhD nursing students developed unique items based on qualitative data collected by the University using an Appreciative Inquiry framework. Seven nursing and non-nursing experts with experience in PhD mentorship evaluated content validity. After revisions, the final 44-item instrument was administered at two time points (one month apart) to allow assessment of test-retest reliability. Test-retest reliability was evaluated using Spearman-rank correlations and data from students with ≥1 year of experience with their mentor. RESULTS: Response rates were 94% for both administrations (n = 16). The instrument's overall Content Validity Index (CVI) was 0.91 (p = 0.05). Test-retest analyses resulted in high correlations (r = 0.91, p < 0.001), further supporting reliability of the CLIM instrument. CONCLUSIONS: Preliminary evidence suggests that the CLIM instrument is a reliable instrument of PhD mentorship in nursing. However, additional testing in larger and more diverse graduate student populations is needed to evaluate internal consistency reliability, among other psychometric properties.

Using Incident Reports to Assess Communication Failures and Patient Outcomes.

INTRODUCTION: Communication failures pose a significant threat to the quality of care and safety of hospitalized patients. Yet little is known about the nature of communication failures. The aims of this study were to identify and describe types of communication failures in which nurses and physicians were involved and determine how different types of communication failures might affect patient outcomes. METHODS: Incident reports filed during fiscal year 2015-2016 at a Midwestern academic health care system (N = 16,165) were electronically filtered and manually reviewed to identify reports that described communication failures involving nurses and physicians (n = 161). Failures were categorized by type using two classification systems: contextual and conceptual. Thematic analysis was used to identify patient outcomes: actual or potential harm, patient dissatisfaction, delay in care, or no harm. Frequency of failure types and outcomes were assessed using descriptive statistics. Associations between failure type and patient outcomes were evaluated using Fisher's exact test. RESULTS: Of the 211 identified contextual communication failures, errors of omission were the most common (27.0%). More than half of conceptual failures were transfer of information failures (58.4%), while 41.6% demonstrated a lack of shared understanding. Of the 179 identified outcomes, 38.0% were delays in care, 20.1% were physical harm, and 8.9% were dissatisfaction. There was no statistically significant association between failure type category and patient outcomes. CONCLUSION: It was found that incident reports could identify specific types of communication failures and patient outcomes. This work provides a basis for future intervention development to prevent communication-related adverse events by tailoring interventions to specific types of failures.

Formative evaluation of the video reflexive ethnography method, as applied to the physician-nurse dyad.

BACKGROUND: Despite decades of research and interventions, poor communication between physicians and nurses continues to be a primary contributor to adverse events in the hospital setting and a major challenge to improving patient safety. The lack of progress suggests that it is time to consider alternative approaches with greater potential to identify and improve communication than those used to date. We conducted a formative evaluation to assess the feasibility, acceptability and utility of using video reflexive ethnography (VRE) to examine, and potentially improve, communication between nurses and physicians. METHODS: We begin with a brief description of the institutional review boardapproval process and recruitment activities, then explain how we conducted the formative evaluation by describing (1) the VRE process itself; (2) our assessment of the exposure to the VRE process; and (3) challenges encountered and lessons learnt as a result of the process, along with suggestions for change. RESULTS: Our formative evaluation demonstrates that it is feasible and acceptable to video-record communication between physicians and nurses during patient care rounds across many units at a large, academic medical centre. The lessons that we learnt helped to identify procedural changes for future projects. We also discuss the broader application of this methodology as a possible strategy for improving other important quality and safety practices in healthcare settings. CONCLUSIONS: The VRE process did generate increased reflection in both nurse and physician participants. Moreover, VRE has utility in assessing communication and, based on the comments of our participants, can serve as an intervention to possibly improve communication, with implications for patient safety.