Phenotyping the autonomic nervous system in pregnancy using remote sensors: potential for complication prediction.

Objectives: The autonomic nervous system (ANS) plays a central role in dynamic adaptation during pregnancy in accordance with the pregnancy demands which otherwise can lead to various pregnancy complications. Despite the importance of understanding the ANS function during pregnancy, the literature lacks sufficiency in the ANS assessment. In this study, we aimed to identify the heart rate variability (HRV) function during the second and third trimesters of pregnancy and 1 week after childbirth and its relevant predictors in healthy pregnant Latina individuals in Orange County, CA. Materials and methods: N = 16 participants were enrolled into the study from which N = 14 (N = 13 healthy and n = 1 complicated) participants proceeded to the analysis phase. For the analysis, we conducted supervised machine learning modeling including the hierarchical linear model to understand the association between time and HRV and random forest regression to investigate the factors that may affect HRV during pregnancy. A t-test was used for exploratory analysis to compare the complicated case with healthy pregnancies. Results: The results of hierarchical linear model analysis showed a significant positive relationship between time (day) and average HRV (estimated effect = 0.06; p < 0.0001), regardless of being healthy or complicated, indicating that HRV increases during pregnancy significantly. Random forest regression results identified some lifestyle and sociodemographic factors such as activity, sleep, diet, and mental stress as important predictors for HRV changes in addition to time. The findings of the t-test indicated that the average weekly HRV of healthy and non-healthy subjects differed significantly (p < 0.05) during the 17 weeks of the study. Conclusion: It is imperative to focus our attention on potential autonomic changes, particularly the possibility of increased parasympathetic activity as pregnancy advances. This observation may challenge the existing literature that often suggests a decline in parasympathetic activity toward the end of pregnancy. Moreover, our findings indicated the complexity of HRV prediction, involving various factors beyond the mere passage of time. To gain a more comprehensive understanding of this dynamic state, future investigations should delve into the intricate relationship between autonomic activity, considering diverse parasympathetic and sympathetic metrics, and the progression of pregnancy.

A response to Michael Clinton's On Bender's orientation to models: Towards a philosophical debate on covering laws, theory, emergence and mechanisms in nursing science.

My purpose in this short response to Clinton's interesting article On Bender's orientation to models: Towards a philosophical debate on covering laws, theory, emergence and mechanisms in nursing science, which is published in this issue, is not to provide any counterargument to Clinton's interpretation of my own argument; readers are welcome to interrogate both articles at their leisure and make their own conclusions. What I will do instead is provide a brief critical assessment of my own (il)logic re bringing in the notion of mechanism as conceived by Machamer, Darden and Craver into an argument for models versus theories as a carrier of nursing knowledge.

Toward a more comprehensive understanding of organizational influences on implementation: the organization theory for implementation science framework.

Introduction: Implementation is influenced by factors beyond individual clinical settings. Nevertheless, implementation research often focuses on factors related to individual providers and practices, potentially due to limitations of available frameworks. Extant frameworks do not adequately capture the myriad organizational influences on implementation. Organization theories capture diverse organizational influences but remain underused in implementation science. To advance their use among implementation scientists, we distilled 70 constructs from nine organization theories identified in our previous work into theoretical domains in the Organization Theory for Implementation Science (OTIS) framework. Methods: The process of distilling organization theory constructs into domains involved concept mapping and iterative consensus-building. First, we recruited organization and implementation scientists to participate in an online concept mapping exercise in which they sorted organization theory constructs into domains representing similar theoretical concepts. Multidimensional scaling and hierarchical cluster analyses were used to produce visual representations (clusters) of the relationships among constructs in concept maps. Second, to interpret concept maps, we engaged members of the Cancer Prevention and Control Research Network (CPCRN) OTIS workgroup in consensus-building discussions. Results: Twenty-four experts participated in concept mapping. Based on resulting construct groupings' coherence, OTIS workgroup members selected the 10-cluster solution (from options of 7-13 clusters) and then reorganized clusters in consensus-building discussions to increase coherence. This process yielded six final OTIS domains: organizational characteristics (e.g., size; age); governance and operations (e.g., organizational and social subsystems); tasks and processes (e.g., technology cycles; excess capacity); knowledge and learning (e.g., tacit knowledge; sense making); characteristics of a population of organizations (e.g., isomorphism; selection pressure); and interorganizational relationships (e.g., dominance; interdependence). Discussion: Organizational influences on implementation are poorly understood, in part due to the limitations of extant frameworks. To improve understanding of organizational influences on implementation, we distilled 70 constructs from nine organization theories into six domains. Applications of the OTIS framework will enhance understanding of organizational influences on implementation, promote theory-driven strategies for organizational change, improve understanding of mechanisms underlying relationships between OTIS constructs and implementation, and allow for framework refinement. Next steps include testing the OTIS framework in implementation research and adapting it for use among policymakers and practitioners.

Predictors of Clinical Nurse Leader implementation success across a national sample of settings: A Bayesian multilevel modeling analysis.

INTRODUCTION: The Clinical Nurse Leader (CNL) care model is a different way of organizing frontline nursing care delivery in contrast to the traditional "staff nurse" model and is increasingly being adopted by health systems across the United States and abroad. However, variability in implementation and outcomes has been noted across health settings. AIM: A recently validated CNL Practice Model provides an explanatory pathway for CNL model integration into practice. The purpose of this study was to identify and compare patterns of empirical correspondence to the CNL Practice Model and predict their influence on implementation success. METHODS: We conducted a secondary analysis of a 2015 national-level study with clinicians and administrators involved with CNL initiatives in their health system. A psychometrically validated CNL Practice Survey was used to collect data measuring the presence (0%-100%) of the five domains of the CNL Practice Model (organizational readiness, CNL structuring, CNL practices, outcomes, and value) and one measure of CNL implementation success. We modeled the complex hierarchical structure of the data using a Bayesian multilevel regression mixed modeling approach. A zero-one-inflated beta distribution, a mixture of Bernoulli distributions for the minimum and maximum responses and a beta distribution for the responses between the minimum and maximum, was used to fit success ratings in the model. RESULTS: A total of 920 participants responded, 540 (59%) provided success scores. The model captured ratings skewed toward upper bound, while also adequately modeling data between the minimum and maximum values. The Bayesian model converged and gave estimates for all hierarchical parameters, which would likely have failed to converge in a pure maximum likelihood framework. The variability around success score across CNL Practice Model element ratings was greatest at the component level, 0.29 (0.18-0.48), compared to either the domain level, 0.16 (0.01-0.54), or the item level, 0.09 (0.01-0.17). The components most predictive of implementation success were (a) consensus CNL model can close gaps, (b) organization level implementation strategy, and (c) alignment of empirical CNL microsystem level structuring to the model's conceptualization. CONCLUSIONS: Findings provide further empirical evidence to support the explanatory pathway proposed by the CNL Practice Model and identified specific organizational readiness and CNL workflow structures that are critical antecedents predictive of CNL practice manifestation and production of expected outcomes. Findings indicate actionable implementation evidence that can be successfully adopted across real-world healthcare settings to achieve safer and higher quality patient care. CLINICAL RELEVANCE: CNL integrated care delivery is a frontline nursing care model that is being increasingly adopted by health systems across the United States and abroad. However, variability in CNL implementation and outcomes has been noted across health settings, limiting its evidence base. Findings of this study contribute a better understanding about the variability of CNL practice and outcomes found in the literature and contribute empirical and conceptual clarity about the relationships between modes of CNL implementation and successful adoption in healthcare settings.

What constitutes philosophical activity in nursing? Toward a definition of nursing philosophy based on an interpretive synthesis of the recent literature.

Nursing claims a significant history of engaging philosophical inquiry. To better understand the rationale for this engagement, and what nursing understands itself to achieve through philosophical inquiry, we conducted an interpretive synthesis of the recent nursing literature to identify what nurses are doing when they say they are doing philosophy. The overarching finding was that while vanishingly few articles articulated any definition of philosophy, the synthesis showed how nursing considers philosophical engagement a generative mode for asking and answering questions in/for nursing. Whatever aspects of nursing were focused on in these articles, and they were myriad, philosophy was invoked as an appropriate modality to work through that aspect rigorously, critically, and with an expectation that something "knowledgeable" would result from the effort. Based on the synthesis, we conclude that nursing philosophy could be considered a specific modality of nursing practice by which nursing is both done and delineated, a discursive practice in which we continually assess and explore and adapt and advance our understanding of the discipline in service to advancing our unique efficacy. This definition of "nursing philosophy" provides an opening for further inquiry helping to illuminate its functionalities and potentialities for outputs that can facilitate rigorous practice, education, and scholarship.

Heart Rate Variability and Pregnancy Complications: Systematic Review.

BACKGROUND: The autonomic nervous system (ANS) is known as a critical regulatory system for pregnancy-induced adaptations. If it fails to function, life-threatening pregnancy complications could occur. Hence, understanding and monitoring the underlying mechanism of action for these complications are necessary. OBJECTIVE: We aimed to systematically review the literature concerned with the associations between heart rate variability (HRV), as an ANS biomarker, and pregnancy complications. METHODS: We performed a comprehensive search in the PubMed, Medline Completion, CINAHL Completion, Web of Science Core Collection Classic, Cochrane Library, and SCOPUS databases in February 2022 with no time span limitation. We included studies concerned with the association between any pregnancy complications and HRV, with or without a control group. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline was used for the review of the studies, and Covidence software was used for the study selection process. For data synthesis, we used the guideline by Popay et al. RESULTS: Finally, 12 studies with 6656 participants were included. Despite the methodological divergency that hindered a comprehensive comparison, our findings suggest that ANS is linked with some common pregnancy complications including fetal growth. However, existing studies do not support an association between ANS and gestational diabetes mellitus. Studies that linked pulmonary and central nervous system disorders with ANS function did not provide enough evidence to draw conclusions. CONCLUSIONS: This review highlights the importance of understanding and monitoring the underlying mechanism of ANS in pregnancy-induced adaptations and the need for further research with robust methodology in this area.

Exploring Access as a Process of Adaptation in a Self-Monitoring Perinatal eHealth System: Mixed Methods Study From a Sociomaterial Perspective.

BACKGROUND: The development and quality assurance of perinatal eHealth self-monitoring systems is an upcoming area of inquiry in health science. Building patient engagement into eHealth development as a core component has potential to guide process evaluation. Access, 1 attribute of patient engagement, is the focus of study here. Access to eHealth self-monitoring programs has the potential to influence pregnancy health and wellness outcomes. Little is known about how pregnant users' ability to obtain resources is influenced by their own adaptive activities and the mediating activities of eHealth systems during the process of real-world testing of these systems. OBJECTIVE: Here, we examine the patient engagement process of access occurring during the adaptation of eHealth self-monitoring use from a sociomaterial perspective. METHODS: In this mixed methods convergent evaluation design, we interviewed women about perceptions of the adaptation process of using an eHealth self-monitoring system. Deductive analysis was conducted guided by the definition of access as an attribute of patient engagement. After initial qualitative and quantitative data collection and analysis, participants were spilt based on their level of use of the eHealth system (physical wear time of self-monitoring device). Content analysis was then conducted according to user group, using a conceptual matrix developed from ontological perspectives of sociomateriality. RESULTS: Pregnant users' adaptive activities and the mediation activities of the eHealth system represent a cocreation process that resulted in user group-specific characteristics of accessing and using the system. The high- and low-use groups experienced different personal adaptation and eHealth mediation during this process of cocreation. Differences were noted between high- and low-use groups, with the high-use group giving attention to developing skills in recording and interpreting data and the low-use group discussing the manual adding of activities to the system and how the system worked best for them when they used it in their mother tongue. CONCLUSIONS: A cocreation process between pregnant users and the eHealth system was identified, illustrating access as a useful core component of perinatal eHealth self-monitoring systems. Researchers and clinicians can observe reasons for why pregnant users access eHealth systems in unique ways based on their personal preferences, habits, and values. Mediation activities of the eHealth system and the different user adaptive activities represent a cocreation process between the users and the eHealth system that is necessary for the personalization of perinatal eHealth systems.

Patient engagement practice within perinatal eHealth: A scoping review.

BACKGROUND: There is a gap in knowledge about how perinatal eHealth programs function to support autonomy for new and expectant parents from pursuing wellness goals. OBJECTIVES: To examine patient engagement (access, personalization, commitment and therapeutic alliance) within the practice of perinatal eHealth. DESIGN: Scoping review. METHODS: Five databases were searched in January 2020 and updated in April 2022. Reports were vetted by three researchers and included if they documented maternity/neonatal programs and utilized World Health Organization (WHO) person-centred digital health intervention (DHI) categories. Data were charted using a deductive matrix containing WHO DHI categories and patient engagement attributes. A narrative synthesis was conducted utilizing qualitative content analysis. Preferred Reporting Items for Systematic Reviews and Meta-Analyses 'extension for scoping reviews' guidelines were followed for reporting. RESULTS: Twelve eHealth modalities were found across 80 included articles. The analysis yielded two conceptual insights: (1) The nature of perinatal eHealth programs: (1) emergence of a complex structure of practice and (2) practising patient engagement within perinatal eHealth. CONCLUSION: Results will be used to operationalize a model of patient engagement within perinatal eHealth.

SARS-Cov-2 Infection and Seroconversion Rates in Healthcare Providers Prior to COVID-19 Vaccine Rollout.

OBJECTIVE: A 6-month longitudinal surveillance study of asymptomatic healthcare providers (HCP) was carried out at a large urban academic medical center in the United States to assess whether their job occupation with higher exposure risks to SARS-CoV-2 would equate with higher risk of contracting COVID-19 at the beginning of the pandemic before COVID-19 vaccines were available. METHODS: A longitudinal cohort study design was used to collect and analyze immunological and virological monitoring data and self-report survey assessments of personal protective equipment (PPE) availability, adherence to infection control guidelines, and time spent on COVID-19 wards. RESULTS: Among 289 eligible participants, SARS-CoV-2 exposure risk was high with 48-69% participants working in COVID-19 units and more than 30% of them caring for COVID-19 patients. However, the seroconversion rate was low with only 2.1% of participants developing humoral or cellular immunity against SARS-CoV-2. CONCLUSION: Our study findings suggest that, for this HCP cohort working at a large urban academic medical center, a low incidence of SARS-CoV-2 infection could be maintained under conditions of strict infection prevention protocols and reliable PPE availability.

Factors Influencing Implementation Success of the Clinical Nurse Leader Care Delivery Model: Findings From a National-Level Mixed-Methods Study.

BACKGROUND: The clinical nurse leader (CNL) care model has existed since 2007. However, there is limited understanding how the model can best be implemented. PURPOSE: A validated CNL Practice Survey measuring domains theorized to influence CNL implementation was used to examine the link between CNL domains and CNL implementation success. METHODS: Mixed methods were used to analyze data from a nationwide 2015 survey administered to clinicians and administrators involved in CNL initiatives. RESULTS: Of total respondents (n = 920), 543 (59%) provided success scores, with 349 (38%) providing comments. Respondents with negative comments gave significantly lower average CNL success scores. The majority of negative comments mapped onto Readiness and Structuring domains, providing details of barriers to CNL implementation success. CONCLUSIONS: Findings provide information about structural domains that can be strategically targeted to better prepare settings for CNL implementation and success.

Improving interprofessional communication: Conceptualizing, operationalizing and testing a healthcare improvisation communication workshop.

BACKGROUND: Communication errors are a leading cause of adverse events in the acute and ambulatory healthcare setting. We now understand that communication within and across professions and patients is a complex achievement with numerous barriers, including cultural, educational, and structural hurdles. Improvisation has been identified as an approach with great potential to develop communication skills for multi-disciplinary healthcare students. OBJECTIVE: We report on the interdisciplinary conceptualization, operationalization, and effectiveness testing of a novel educational healthcare improvisation communication workshop. DESIGN: Prospective pre-post test experimental. SETTING: University of California, Irvine. PARTICIPANTS: Total of 158 nursing, medicine, and population health students. METHODS: We conceptualized improvisation through the constructs of presence, trust, and acceptance to develop workshop activities, then used the Kirkpatrick Learning Framework to test the workshop's feasibility, learning outcomes, and preliminary behavior changes. RESULTS: Participants rated the feasibility of the workshop highly. Pre-post workshop effectiveness testing showed significant increases in communication and collaboration competencies. Qualitative data suggested workshop activities were powerful learning modality because they were premised by introducing their conceptual underpinning and providing tangible examples via the video and debrief. Qualitative data also suggested preliminary behavior changes post workshop. CONCLUSIONS: We have developed and tested a communication teaching modality with strong conceptual grounding and empirical evidence of its efficacy in engaging healthcare students in collaborative communication, with documented evidence of learning that health educators can use in their courses. Future research is needed (and currently underway) to generate the evidence that the workshop can be adopted and sustained within a multi-school curriculum, which includes testing the feasibility of cross-school curriculum logistics (i.e. cross-listing the course to meet different school registrar policies, teaching workload sharing across faculty, etc.), as well as continued effectiveness testing.

Machine Learning Approach for Preterm Birth Prediction Using Health Records: Systematic Review.

BACKGROUND: Preterm birth (PTB), a common pregnancy complication, is responsible for 35% of the 3.1 million pregnancy-related deaths each year and significantly affects around 15 million children annually worldwide. Conventional approaches to predict PTB lack reliable predictive power, leaving >50% of cases undetected. Recently, machine learning (ML) models have shown potential as an appropriate complementary approach for PTB prediction using health records (HRs). OBJECTIVE: This study aimed to systematically review the literature concerned with PTB prediction using HR data and the ML approach. METHODS: This systematic review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. A comprehensive search was performed in 7 bibliographic databases until May 15, 2021. The quality of the studies was assessed, and descriptive information, including descriptive characteristics of the data, ML modeling processes, and model performance, was extracted and reported. RESULTS: A total of 732 papers were screened through title and abstract. Of these 732 studies, 23 (3.1%) were screened by full text, resulting in 13 (1.8%) papers that met the inclusion criteria. The sample size varied from a minimum value of 274 to a maximum of 1,400,000. The time length for which data were extracted varied from 1 to 11 years, and the oldest and newest data were related to 1988 and 2018, respectively. Population, data set, and ML models' characteristics were assessed, and the performance of the model was often reported based on metrics such as accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve. CONCLUSIONS: Various ML models used for different HR data indicated potential for PTB prediction. However, evaluation metrics, software and package used, data size and type, selected features, and importantly data management method often remain unjustified, threatening the reliability, performance, and internal or external validity of the model. To understand the usefulness of ML in covering the existing gap, future studies are also suggested to compare it with a conventional method on the same data set.

Increasing Access to Organization Theories for Implementation Science.

Background: Organization theories offer numerous existing, highly relevant, yet largely untapped explanations of the organizational dynamics underlying evidence-based intervention (EBI) implementation. Rooted in ideas regarding power, autonomy, and control, organization theories can explain how and why organizations adopt, implement, and sustain EBI use. Although they have gained visibility, organization theories remain underused in implementation research, perhaps due to their inaccessibility to implementation scientists. To improve access to organization theory among implementation scientists, we summarized organization theories with relevance to implementation science. Methods: Led by the Cancer Prevention and Control Research Network (CPCRN) Organization Theory for Implementation Science workgroup, we employed a modified Delphi process to reach a consensus among 18 experts at the intersection of organization and implementation science regarding organization theories with relevance to implementation science. From texts that described the organization theories, using standardized abstraction forms, two investigators independently abstracted information regarding constructs, propositions regarding how or why constructs might influence implementation, the potential relevance of organization theories' propositions for implementation, and overviews of each theory. The investigators then reconciled discrepancies until reaching consensus. A third investigator reviewed reconciled abstraction forms for accuracy, coherence, and completeness. Findings: We identified nine organization theories with relevance to implementation science: contingency, complexity, institutional, network, organizational learning, resource dependence, sociotechnical, and transaction cost economics. From the theories, we abstracted 70 constructs and 65 propositions. An example proposition from institutional theory is: "Coercive, mimetic, and normative pressures contribute to organizations…within an organizational field [becoming increasingly similar]." These propositions can be operationalized as levers to facilitate EBI implementation. Conclusions: To increase use in the field, organization theories must be made more accessible to implementation scientists. The abstraction forms developed in this study are now publicly available on the CPCRN website with the goal of increasing access to organization theories among an interdisciplinary audience of implementation scientists through the CPCRN Scholars program and other venues. Next steps include consolidating organization theory constructs into domains and translating the resulting framework for use among researchers, policymakers and practitioners, aiding them in accounting for a comprehensive set of organization theory constructs thought to influence EBI implementation.

The role of philosophy in the development and practice of nursing: Past, present and future.

This article summarizes a virtual live-streamed panel event that occurred in August 2020 and was cosponsored by the International Philosophy of Nursing Society (IPONS) and the University of California, Irvine's Center for Nursing Philosophy. The event consisted of a series of three self-contained panel discussions focusing on the past, present and future of IPONS and was moderated by the current Chair of IPONS, Catherine Green. The first panel discussion explored the history of IPONS and the journal Nursing Philosophy. The second panel involved a reflection on the challenges of doing nursing philosophy in a research-intensive context of a Canadian university and the history and current movements in nursing philosophy in the Nordic countries. The final panel involved presentations on the future potential for philosophy in/and for nursing, the critical connections between nursing philosophy and nursing theory, dismantling racism in nursing and the potential for process philosophy to help explore nursing's unique efficacy in creating possibilities for health. The panels were followed by a lively Q&A session with participants, of which there were 252 registrants from across the globe. The event underscored the wide and diverse interests of nurses in philosophical discussion and the need for more virtual events and other connective modalities bringing nurses together to discuss and analyze the value and potential of philosophy to better understand and advance nursing theory and practice.