Agreement between patient-reported and clinically documented symptoms of acute myeloid leukemia: Study protocol.

AIM: To describe our methods to compare patient-reported symptoms of acute myeloid leukemia and the corresponding documentation by healthcare providers in the electronic health record. BACKGROUND: Patients with acute myeloid leukemia experience many distressing symptoms, particularly related to chemotherapy. The timely recognition and provision of evidence-based interventions to manage these symptoms can improve outcomes. However, lack of standardized formatting for symptom documentation within electronic health records leads to challenges for clinicians when accessing and comprehending patients' symptom information, as it primarily exists in narrative forms in various parts of the electronic health record. This variability raises concerns about over- or under-reporting of symptoms. Consistency between patient-reported symptoms and clinician's symptom documentation is important for patient-centered symptom management, but little is known about the degree of agreement between patient reports and their documentation. This is a detailed description of the study's methodology, procedures and design to determine how patient-reported symptoms are similar or different from symptoms documented in electronic health records by clinicians. DESIGN: Exploratory, descriptive study. METHODS: Forty symptoms will be assessed as patient-reported outcomes using the modified version of the Memorial Symptom Assessment Scale. The research team will annotate symptoms from the electronic health record (clinical notes and flowsheets) corresponding to the 40 symptoms. The degree of agreement between patient reports and electronic health record documentation will be analyzed using positive and negative agreement, kappa statistics and McNemar's test. CONCLUSION: We present innovative methods to comprehensively compare the symptoms reported by acute myeloid leukemia patients with all available electronic health record documentation, including clinical notes and flowsheets, providing insights into symptom reporting in clinical practice. IMPACT: Findings from this study will provide foundational understanding and compelling evidence, suggesting the need for more thorough efforts to assess patients' symptoms. Methods presented in this paper are applicable to other symptom-intensive diseases.

Assessing Heart Failure Self-management Knowledge Through Vignettes.

BACKGROUND: Heart failure (HF) self-care is key to managing symptoms, but current HF knowledge instruments are at risk for social desirability bias (ie, tendency to respond in a way that is viewed favorably). Vignettes may be a useful method to mitigate this bias by measuring knowledge via scenarios in which individuals with HF are invited to respond to fictional characters' self-management problems rather than disclosing their own practices. OBJECTIVE: The aims of the study were to develop and test the content validity of vignettes measuring individuals' knowledge of HF symptom self-management. METHODS: The study had 3 phases. In phase 1, two vignettes were developed. One focused on psychological symptom self-management (ie, anxiety, depression), and the other focused on physical symptom self-management (ie, edema, fatigue). In phase 2, the research team and lay experts made improvements to the vignettes' readability. In phase 3, five HF self-care nurse experts evaluated the vignettes' clarity and importance with a 3-point Likert-type scale using Delphi methods. We calculated the vignettes' content validity using the scale-level content validity index. RESULTS: The final content validation encompassed 2 Delphi rounds (phase 3), yielding a scale-level content validity index of 0.92 and 0.94 for the psychological and physical symptom vignettes, respectively. These results indicate excellent initial content validity. CONCLUSIONS: The content of vignettes measuring individuals' knowledge of HF symptom self-management is valid based on the opinions of nurse experts. The vignettes offer a promising method to assess knowledge about HF self-care management without the pressure of disclosing individual patient practices.

Using Omaha System data to explore relationships between client outcomes, phenotypes, and targeted home intervention approaches: an exemplar examining practice effectiveness for older women with circulation problems.

BACKGROUND: Improved health among older women remains elusive and may be linked to limited knowledge of and interventions targeted to population subgroups. Use of structured community nurse home visit data exploring relationships between client outcomes, phenotypes, and targeted intervention approaches may reveal new understandings of practice effectiveness. MATERIALS AND METHODS: Omaha System data of 2363 women 65 years and older with circulation problems receiving at least 2 community nurse home visits were accessed. Previously identified phenotypes (Poor circulation; Irregular heart rate; and Limited symptoms), 7 intervention approaches (High-Surveillance; High-Teaching/Guidance/Counseling; Balanced-All; Balanced-Surveillance-Teaching/Guidance/Counseling; Low-Teaching/Guidance/Counseling-Balanced Other; Low-Surveillance-Mostly-Teaching/Guidance/Couseling-TreatmentProcedure-CaseManagement; and Mostly-TreatementProcedure+CaseManagement), and client knowledge, behavior, and status outcomes were used. Client-linked intervention approach counts, proportional use per phenotypes, and associations with client outcome scores were descriptively analyzed. Associations between intervention approach proportional use by phenotype and outcome scores were analyzed using parallel coordinate graph methodology for intervention approach effectiveness. RESULTS: Percent use of intervention approach differed significantly by phenotype. The 2 most widely employed intervention approaches were characterized by either a high use of surveillance interventions or a balanced use of all intervention categories (surveillance, teaching/guidance/counseling, treatment-procedure, case-management). Mean outcome discharge and change scores significantly differed by intervention approach. Proportionally deployed intervention approach patterns by phenotype were associated with outcome small effects improvement. DISCUSSIONS AND CONCLUSIONS: The Omaha System taxonomy supported the management and exploration of large multidimensional community nursing data of older women with circulation problems. This study offers a new way to examine intervention effectiveness using phenotype- and targeted intervention approach-informed structured data.

Evaluation of the effectiveness of nursing interventions in research from Brazilian postgraduation programs.

PURPOSE: The purpose of this study was to evaluate research from Brazilian postgraduate students who provide evidence of effectiveness for Nursing Interventions Classification (NIC). METHODS: We conducted a literature review study of thesis and dissertations available in the Brazilian Digital Library of Dissertations and Theses (D/T) in May 2021 regardless of the year they were conducted. In those studies that did not utilize the NIC in the effectiveness evaluation, the cross-mapping methodology was employed between NIC and the interventions used by the authors of the studies. RESULTS: Using a systematic process, we identified 91 studies. Twenty-seven met a priori inclusion and exclusion criteria. We found an increase in studies that focused on nursing interventions in the last 10 years (n = 19), a large proportion of clinical trials (n = 16), and the majority of articles from the Southeast region of Brazil (n = 20). The areas of focus were adult and elderly care, and with a special interest in the behavioral domain (n = 11). Two sensitivity criteria were identified in all D/T (n = 27), and each study presented evidence of effectiveness of a minimum of three criteria simultaneously. CONCLUSIONS: Based on the effectiveness criteria, the Brazilian scientific production in postgraduate programs carried out by nurses provides evidence of the effectiveness for NIC nursing interventions. IMPLICATIONS FOR NURSING PRACTICE: It is recommended to conduct further research that uses the NIC in the planning, conduct, and evaluation of interventions, based on effectiveness criteria of nursing sensitivity.

Supporting Decision-Making About Patient Mobility in the Intensive Care Unit Nurse Work Environment: Work Domain Analysis.

BACKGROUND: Patient mobility is an evidenced-based physical activity intervention initiated during intensive care unit (ICU) admission and continued throughout hospitalization to maintain functional status, yet mobility is a complex intervention and not consistently implemented. Cognitive work analysis (CWA) is a useful human factors framework for understanding complex systems and can inform future technology design to optimize outcomes. OBJECTIVE: The aim of this study is to understand the complexity and constraints of the ICU work environment as it relates to nurses carrying out patient mobility interventions, using CWA. METHODS: We conducted a work domain analysis and completed an abstraction hierarchy using the CWA framework. Data from documents, observation (32 hours), and interviews with nurses (N=20) from 2 hospitals were used to construct the abstraction hierarchy. RESULTS: Nurses seek information from a variety of sources and integrate patient and unit information to inform decision-making. The completed abstraction hierarchy depicts multiple high-level priorities that nurses balance, specifically, providing quality, safe care to patients while helping to manage unit-level throughput needs. Connections between levels on the abstraction hierarchy describe how and why nurses seek patient and hospital unit information to inform mobility decision-making. The analysis identifies several opportunities for technology design to support nurse decision-making about patient mobility. CONCLUSIONS: Future interventions need to consider the complexity of the ICU environment and types of information nurses need to make decisions about patient mobility. Considerations for future system redesign include developing and testing clinical decision support tools that integrate critical patient and unit-level information to support nurses in making patient mobility decisions.

Conducting a representative national randomized control trial of tailored clinical decision support for nurses remotely: Methods and implications.

Clinical Decision Support (CDS) systems, patient specific evidence delivered to clinicians via the electronic health record (EHR) at the right time and in the right format, has the potential to improve patient outcomes. Unfortunately, outcomes of CDS research are mixed. A potential cause lies in its testing. Many CDS are implemented in practice without sufficient testing, potentially leading to patient harm. When testing is conducted, most research has focused on "what" evidence to provide with little attention to the impact of the CDS display format (e.g., textual, graphical) on the user. In an adequately powered randomized control trial with 220 hospital based registered nurses, we will compare 4 randomly assigned CDS format groups (text, text table, text graphs, tailored to subject's graph literacy score) for effects on decision time and simulated patient outcomes. We recruit using state based professional registries, which allows access to participants from multiple institutions across the nation. We use online survey software (REDCap) for efficient study workflow including screening, informed consent documentation, pre-experiment demographic data collection including a graph literacy questionnaire used in randomization. The CDS prototype is accessed via a web app and the simulation-based experiment is conducted remotely at a subject's local computer using video-conferencing software. Also included are 6 post intervention surveys to assess cognitive workload, usability, numeracy, format preference, CDS utilization rationale, and CDS interpretation. Our methods are replicable and scalable for testing of health information technologies and have the potential to improve the safety and effectiveness of these technologies across disciplines.

Feasibility of a mHealth survey application for incarcerated and postrelease people living with HIV in a low-resource setting.

Mobile health (mHealth) holds considerable promise as a way to give people greater control of their health information, privacy, and sharing in the context of HIV research and clinical services. The purpose of this study was to determine the feasibility of an mHealth research application from the perspective of three stakeholder groups involved in an HIV clinical trial in Jakarta, Indonesia: (a) incarcerated people living with HIV (PLWH), (b) research assistants (RAs), and (c) research investigators. Incarcerated PLWH (n = 150) recruited from two large all-male prisons completed questionnaires, including questions about mHealth acceptability, on an mHealth survey application using a proprietary data collection software development platform. RAs who administered questionnaires (n = 8) rated the usability of the software application using the system usability scale (SUS) and open-ended questions. Research investigators (n = 2) completed in-depth interviews, that were coded and analyzed using the technology acceptance model (TAM) as a conceptual framework. Over 90% of incarcerated PLWH felt the mHealth application offered adequate comfort, privacy, and accuracy in recording their responses. RAs' SUS scores ranged from 60% to 90% (M = 76.25) and they found the mHealth survey application challenging to learn, but highly satisfying. Compared with paper-based data collection, researchers felt that electronic data collection led to improved accuracy and efficiency of data collection and the ability to monitor data collection remotely and in real time. The researchers perceived the learnability of the application as acceptable but required self-instruction.

NANDA-I, NOC, and NIC Linkages to SARS-Cov-2 (Covid-19): Part 1. Community Response.

PURPOSE: We developed linkages using interoperable standardized nursing terminologies, NANDA International (NANDA-I) nursing diagnoses, Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC), to present initial guidance for the development of care plans focused on COVID-19 for nurses practicing in community or public health roles. METHODS: Seven nurse experts identified the linkages of NANDA-I, NOC and NIC for our work related to the COVID-19 pandemic. A model was developed to guide the project. The first step in creating linkages focused on the identification of nursing diagnoses. Then, for each nursing diagnosis, outcomes aligned with all components of the diagnosis were categorized and a list of nursing interventions was selected. The experts used their clinical judgment to make final decisions on the linkages selected in this study. FINDINGS: Two community level nursing diagnoses were identified as key problems appropriate for a pandemic related to COVID-19: Deficient Community Health and Ineffective Community Coping. For the nursing diagnosis Deficient Community Health, eight nursing outcomes and 12 nursing interventions were selected. In comparison for the nursing diagnosis, Ineffective Community Coping, nine nursing outcomes and 18 nursing interventions were identified. A total of40 concepts were identified for future development across the three classifications. CONCLUSIONS: The nursing diagnoses, outcomes and interventions selected during this linkage process provide knowledge to support the community challenged with responding to the COVID-19 pandemic, provide the opportunity to quantify the impact of nursing care, and enhance nursing practice by promoting the use of three standardized terminologies. IMPLICATIONS FOR NURSING PRACTICE: NANDA-I, NOC and NIC linkages identified in this manuscript provide resources to support clinical decisions and care plan development for nurses practicing in the community.

NANDA-I, NOC, and NIC linkages to SARS-CoV-2 (COVID-19): Part 2. Individual response.

PURPOSE: To provide guidance to nurses caring for individuals with COVID-19, we developed linkages using interoperable standardized nursing terminologies: NANDA International (NANDA-I) nursing diagnoses, Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC). We also identified potential new NANDA-I nursing diagnoses, NOC outcomes, and NIC interventions for future development related to nurses' role during a pandemic. METHODS: Using a consensus process, seven nurse experts created the linkages for individuals during the COVID 19 pandemic using the following steps: (a) creating an initial list of potential nursing diagnoses, (b) selecting and categorizing outcomes that aligned with all components of each nursing diagnosis selected, and (c) identifying relevant nursing interventions. FINDINGS: A total of 16 NANDA-I nursing diagnoses were identified as the foundation for the linkage work, organized in two dimensions, physiological and psychosocial. A total of 171 different NOC outcomes were identified to guide care based on the nursing diagnoses and 96 NIC interventions were identified as suggested interventions. A total of 13 proposed concepts were identified for potential future development across the three classifications. CONCLUSIONS: The linkages of nursing diagnoses, outcomes, and interventions developed in this article provide a guide to enhance nursing practice and determine the effectiveness of nurses' contribution to patient outcomes for individuals at risk for or infected by COVID-19. IMPLICATIONS FOR NURSING PRACTICE: NANDA-I, NOC, and NIC linkages identified in this paper are an important example of the value of using standardized nursing terminologies to guide and document nursing care. When included in electronic health record databases and used widely, the data generated from the care plans can be used to create new knowledge about how to better improve outcomes for patients with COVID-19.

Nurse workarounds in the electronic health record: An integrative review.

OBJECTIVE: The study sought to synthesize published literature on direct care nurses' use of workarounds related to the electronic health record. MATERIALS AND METHODS: We conducted an integrative review of qualitative and quantitative peer-reviewed research through a structured search of Academic Search Complete, EBSCO Cumulative Index of Nursing and Allied Health Literature (CINAHL), Embase, Engineering Village, Ovid Medline, Scopus, and Web of Science. We systematically applied exclusion rules at the title, abstract, and full article stages and extracted and synthesized their research methods, workaround classifications, and probable causes from articles meeting inclusion criteria. RESULTS: Our search yielded 5221 results. After removing duplicates and applying rules, 33 results met inclusion criteria. A total of 22 articles used qualitative approaches, 10 used mixed methods, and 1 used quantitative methods. While researchers may classify workarounds differently, they generally fit 1 of 3 broad categories: omission of process steps, steps performed out of sequence, and unauthorized process steps. Each study identified probable causes, which included technology, task, organizational, patient, environmental, and usability factors. CONCLUSIONS: Extensive study of nurse workarounds in acute settings highlights the gap in ambulatory care research. Despite decades of electronic health record development, poor usability remains a key concern for nurses and other members of care team. The widespread use of workarounds by the largest group of healthcare providers subverts quality health care at every level of the healthcare system. Research is needed to explore the gaps in our understanding of and identify strategies to reduce workaround behaviors.

Comparison of a Nurse-Nurse Handoff Mnemonic With Real-World Handoffs.

BACKGROUND: Communication failures, including clinical handoff or clinical handover errors, contribute to 80% of all serious preventable adverse events each year. The N-PAS, N = Nurse, P = Patient Summary, A = Action Plan, and S = Synthesis, is a flexible standardized clinical handoff tool for nurses. PURPOSE: The purpose of this study was to determine the proportion of N-PAS core components present in real-world patient handoffs. METHODS: A mixed-methods design was used to analyze secondary data. Patient handoffs (n = 138) were transcribed into statements and then independently coded by 2 research assistants. RESULTS: Of all handoff statements, 63.2% were coded as Patient Summary and 13.6% were coded as Action Plan, whereas Synthesis was not coded in any handoffs. Three new Patient Summary elements and 1 new Action Plan element were identified. CONCLUSION: Patient Summary and Action Plan are critical data reported during clinical handoff. A handoff synthesis is a critical step to include in handoff training.

What Happened to Me while I Was in the Hospital? Challenges and Opportunities for Generating Patient-Friendly Hospitalization Summaries.

Comprehending medical information is a challenging task, especially for people who have not received formal medical education. When patients are discharged from the hospital, they are provided with lengthy medical documents that contain intricate terminologies. Studies have shown that if people do not understand the content of their health documents, they will neither look for new information regarding their illness nor will they take actions to prevent or recover from their health issue. In this article, we highlight the need for generating personalized hospital-stay summaries and several research challenges associated with this task. The proposed directions are directly informed by our ongoing work in generating concise and comprehensible hospitalization summaries that are tailored to suit the patient's understanding of medical terminologies and level of engagement in improving their own health. Our preliminary evaluation shows that our summaries effectively present required medical concepts.

Safety Culture, Patient Safety, and Quality of Care Outcomes: A Literature Review.

This integrative literature review was conducted to examine the relationships between safety culture and patient safety and quality of care outcomes in hospital settings and to identify directions for future research. Using a search of six electronic databases, 17 studies that met the study criteria were selected for review. This review revealed semantic inconsistencies, infrequent use of a theory or theoretical framework, limited discussions of validity of instruments used, and significant methodological variations. Most notably, this review identified a large array of nonsignificant and inconsistent relationships between safety culture and patient safety and quality of care outcomes. To improve understanding of the relationships, investigators should consider using a theoretical framework and valid measures of the key concepts. Researchers should also give more attention to selecting appropriate sampling and data collection methods, units of analysis, levels of data measurement and aggregation, and statistical analyses.

Advocating for Greater Usability in Clinical Technologies: The Role of the Practicing Nurse.

Health care, especially ICUs, rely on multiple types of technology to promote the best patient outcomes. Unfortunately, too often these technologies are poorly designed, causing errors, additional workload, and unnecessary frustration. The purpose of this article is to (1) empower nurses with the needed usability and usability testing vocabulary to identify and articulate clinical technology usability problems and (2) provide ideas on ways nurses can advocate to have an impact on positive change related to technology usability within a health care organization.

Using Heuristic Evaluation to Improve Sepsis Alert Usability.

Sepsis, life-threatening organ dysfunction in response to infection, is an alarmingly common and aggressive illness in US hospitals, especially for intensive care patients. Preventing sepsis deaths rests on the clinicians' ability to promptly recognize and treat sepsis. To aid early recognition, many organizations have employed clinician-facing electronic sepsis alert systems. However, the effectiveness of the alert relies on heavily on the visual interface, textual information, and overall usability. This article reports a usability inspection of a sepsis alert system. The authors found violations in 12 of the 14 usability principles and promote use of this method in practice to systematically identify usability problems.

A Delphi study to identify the core components of nurse to nurse handoff.

AIM: The aim of this study was to identify the core components of nurse-nurse handoffs. BACKGROUND: Patient handoffs involve a process of passing information, responsibility and control from one caregiver to the next during care transitions. Around the globe, ineffective handoffs have serious consequences resulting in wrong treatments, delays in diagnosis, longer stays, medication errors, patient falls and patient deaths. To date, the core components of nurse-nurse handoff have not been identified. This lack of identification is a significant gap in moving towards a standardized approach for nurse-nurse handoff. DESIGN: Mixed methods design using the Delphi technique. METHODS: From May 2016 - October 2016, using a series of iterative steps, a panel of handoff experts gave feedback on the nurse-nurse handoff core components and the content in each component to be passed from one nurse to the next during a typical unit-based shift handoff. Consensus was defined as 80% agreement or higher. RESULTS/FINDINGS: After three rounds of participant review, 17 handoff experts with backgrounds in clinical nursing practice, academia and handoff research came to consensus on the core components of handoff: patient summary, action plan and nurse-nurse synthesis. CONCLUSION: This is the first study to identify the core components of nurse-nurse handoff. Subsequent testing of the core components will involve evaluating the handoff approach in a simulated and then actual patient care environment. Our long-term goal is to improve patient safety outcomes by validating an evidence-based handoff framework and handoff curriculum for pre-licensure nursing programmes that strengthen the quality of their handoff communication as they enter clinical practice.

A Shovel-Ready Solution to Fill the Nursing Data Gap in the Interdisciplinary Clinical Picture.

PURPOSE: To critically evaluate 2014 American Academy of Nursing (AAN) call-to-action plan for generating interoperable nursing data. DATA SOURCES: Healthcare literature. DATA SYNTHESIS: AAN's plan will not generate the nursing data needed to participate in big data science initiatives in the short term because Logical Observation Identifiers Names and Codes and Systematized Nomenclature of Medicine - Clinical Terms are not yet ripe for generating interoperable data. Well-tested viable alternatives exist. CONCLUSIONS: Authors present recommendations for revisions to AAN's plan and an evidence-based alternative to generating interoperable nursing data in the near term. These revisions can ultimately lead to the proposed terminology goals of the AAN's plan in the long term.

Developing and Testing of a Software Prototype to Support Diagnostic Reasoning of Nursing Students.

PURPOSE: To design and test educational software to improve nursing students' diagnostic reasoning through NANDA-I-based clinical scenarios. METHODS: A mixed method approach was used and included content validation by a panel of 13 experts and prototype testing by a sample of 56 students. FINDINGS: Experts' suggestions included writing adjustments, new response options, and replacement of clinical information on the scenarios. Percentages of students' correct answers were 65.7%, 62.2%, and 60.5% for related factors, defining characteristics, and nursing diagnoses, respectively. CONCLUSION: Full development of this software shows strong potential for enhancing students' diagnostic reasoning. IMPLICATIONS FOR NURSING PRACTICE: New graduates may be able to apply diagnostic reasoning more rapidly by exercising their diagnostic skills within this software.

OBJETIVO: Desenvolver e testar um protótipo de software educativo para melhorar o raciocínio diagnóstico de estudantes de enfermagem. MÉTODOS: Uma abordagem mista foi utilizada e incluiu validação de conteúdo por 13 experts e testagem do protótipo por 56 estudantes. RESULTADOS: Sugestões dos experts incluíram ajustes na escrita, inclusão de novas opções de resposta e substituição de dados clínicos nos cenários. Os percentuais de respostas corretas dos estudantes foram 65,7%, 62,2% e 60,5% para fatores relacionados, características definidoras e diagnósticos de enfermagem respectivamente. CONCLUSÃO: O desenvolvimento deste software tem um forte potencial para melhorar o raciocínio diagnóstico de estudantes. IMPLICAÇÕES PARA A PRÁTICA EM ENFERMAGEM: Através deste software, enfermeiros poderão ser capazes de exercitar o raciocínio diagnóstico e aplicá-lo mais rapidamente.