How nurse gender influences patient priority assignments in US emergency departments

An Evidence Map of the Women Veterans' Health Literature, 2016 to 2023: A Systematic Review

Importance

Women veterans are the fastest-growing veteran subpopulation in the US. Women veterans often experience military service-related health issues in addition to conditions common to all women. Because women veterans are more likely to receive care in the civilian setting than through the Department of Veterans Affairs (VA), all women's health clinicians should be equipped to provide patient-centered care for women veterans. The health care of women veterans requires evidence-based care informed by population-specific scientific literature. An updated evidence map evaluating women veteran-focused health literature is needed.

Objective

To map the scope and breadth of women veterans' health literature published from 2016 to 2023.

Evidence Review

In this systematic review, MEDLINE, Embase, and CINAHL Complete were searched for eligible articles published from 2016 to 2023. Articles reporting about US women veterans' health outcomes or on the experience of providing care to women veterans were included. Included articles were required to report patient-level outcomes that included either data for only women veterans or reported results separately for women veterans. Articles were grouped by primary focus area based on categories previously established by the VA Women's Health research agendas and prior evidence maps.

Findings

The volume of women veterans' health literature published between 2016 and 2023 of 932 articles was double that of the prior 8 years. The largest portion of this literature was focused on chronic medical conditions (137 articles [15%]), general mental health (203 articles [22%]), and interpersonal violence (121 articles 3[13%]). Areas of greatest growth included reproductive health (physical and mental), pain, suicide, and nonsuicidal self-injury. Additionally, emerging areas of inquiry were found, including military-related toxic exposures and harassment within the health care setting.

Conclusions and Relevance

In this systematic review of literature focused on the health of women veterans, the volume of literature was found to have doubled and expanded in important areas that aligned with VA research priorities. However, despite the growth in research related to women veterans, several important research gaps remain within this field of study. Research addressing health issues pertinent to a growing and aging women veterans' population will require rigorous research and program evaluations.

Challenges in evaluating the accuracy of AI-containing digital triage systems: A systematic review

INTRODUCTION

Patient-operated digital triage systems with AI components are becoming increasingly common. However, previous reviews have found a limited amount of research on such systems' accuracy. This systematic review of the literature aimed to identify the main challenges in determining the accuracy of patient-operated digital AI-based triage systems.

METHODS

A systematic review was designed and conducted in accordance with PRISMA guidelines in October 2021 using PubMed, Scopus and Web of Science. Articles were included if they assessed the accuracy of a patient-operated digital triage system that had an AI-component and could triage a general primary care population. Limitations and other pertinent data were extracted, synthesized and analysed. Risk of bias was not analysed as this review studied the included articles' limitations (rather than results). Results were synthesized qualitatively using a thematic analysis.

RESULTS

The search generated 76 articles and following exclusion 8 articles (6 primary articles and 2 reviews) were included in the analysis. Articles' limitations were synthesized into three groups: epistemological, ontological and methodological limitations. Limitations varied with regards to intractability and the level to which they can be addressed through methodological choices. Certain methodological limitations related to testing triage systems using vignettes can be addressed through methodological adjustments, whereas epistemological and ontological limitations require that readers of such studies appraise the studies with limitations in mind.

DISCUSSION

The reviewed literature highlights recurring limitations and challenges in studying the accuracy of patient-operated digital triage systems with AI components. Some of these challenges can be addressed through methodology whereas others are intrinsic to the area of inquiry and involve unavoidable trade-offs. Future studies should take these limitations in consideration in order to better address the current knowledge gaps in the literature.

Comparison of emergency department throughput and process times between male and female patients: A retrospective cohort investigation by the Reducing Disparities Increasing Equity in Emergency Medicine Study Group

Introduction

Health equity for all patients is an important characteristic of an effective healthcare system. Bias has the potential to create inequities. In this study, we examine emergency department (ED) throughput and care measures for sex-based differences, including metrics such as door-to-room (DTR) and door-to-healthcare practitioner (DTP) times to look for potential signs of systemic bias.

Methods

We conducted an observational cohort study of all adult patients presenting to the ED between July 2015 and June 2017. We collected ED operational, throughput, clinical, and demographic data. Differences in the findings for male and female patients were assessed using Poisson regression and generalized estimating equations (GEEs). A priori, a clinically significant time difference was defined as 10 min.

Results

A total of 106,011 adult visits to the ED were investigated. Female patients had 8-min longer median length-of-stay (LOS) than males (P < 0.01). Females had longer DTR (2-min median difference, P < 0.01), and longer DTP (5-min median difference, P < 0.01). Females had longer median door-to-over-the-counter analgesia time (84 vs. 80, P = 0.58), door-to-advanced analgesia (95 vs. 84, P < 0.01), door-to-PO (by mouth) ondansetron (70 vs. 62, P = 0.02), and door-to-intramuscular/intravenous antiemetic (76 vs. 69, P = 0.02) times compared with males.

Conclusion

Numerous statistically significant differences were identified in throughput and care measures-mostly these differences favored male patients. Few of these comparisons met our criteria for clinical significance.

ESI Triage Distribution in U.S. Emergency Departments

The accurate triage of arriving emergency department (ED) patients is a key component of emergency nursing practice. Overtriage assignment of patients misallocates scarce resources in a time of department overcrowding, whereas patient undertriage can create risks for negative patient outcomes secondary to care delays. Limited evidence is available regarding ED triage accuracy. It is estimated that appropriate adherence to the Emergency Severity Index (ESI) triage tool and assigning triage categories could be as low as 60% (McFarlane, 2019a, 2019b). The purpose of this retrospective observational study was to examine the 2019 triage distribution of 954,847 ED encounters at 25 hospitals. Comparisons were then made with the spreads identified in the ESI Implementation Handbook (Gilboy, Tanabe, Travers, & Rosenau, 2020). Study results reflect the presence of wide variations in distribution when compared with the expected spread published by Gilboy et al. (2020). These variations illustrate the need for further facility-level evaluation. ESI Level 2 percentages varied from as little as 2.6% to as high as 69% of each facility's ED visit population. Examining an individual facility's annualized triage distribution may serve as a swift method in determining whether additional investigation into triage accuracy is warranted. EDs must implement and sustain an ongoing quality control program to achieve and maintain triage inter- and intrarater reliability. Further research is needed on the value of triage inaccuracy with real-time feedback on nurses' clinical decision-making and patient outcomes. It is also imperative that the expected and observed ESI triage distribution in U.S. EDs is updated when established accuracy quality control programs are present.

Psychometric analysis of the Nurses' Professional Values Scale-3 Arabic version among student nurses

AIMS

We sought to establish the psychometric properties of the Nurses' Professional Values Scale-3 Arabic version among student nurses.

BACKGROUND

Nurses' professional values are central in the nursing profession; it encompasses principles such as respecting people rights and dignity, compassion, and caring without prejudice.

INTRODUCTION

The professional values of student nurses, most specifically in Saudi Arabia and other Arab countries, can hardly be studied due of the lack of a valid and reliable measure that is linguistically and culturally acceptable.

METHODS

In this cross-sectional study, we came up with the Arabic version of the tool and tested its psychometric properties among 350 student nurses from two universities in Saudi Arabia.

RESULTS

The principal component analysis revealed three distinct factors with eigenvalues above 1.00 and with an explained variance of 70.5%. The computed Cronbach's alpha of the tool was 0.967, while 0.964, 0.960, and 0.886 were computed for activism, caring, and professionalism, respectively. The test-retest scores (n = 85) revealed an Intraclass Correlation Coefficient of 0.827 for the entire scale, 0.826 for the subscale activism, 0.792 for caring, and 0.870 for professionalism.

CONCLUSIONS

The Nurses' Professional Values Scale-3 Arabic version had sound psychometric properties when used among Saudi student nurses.

IMPLICATION FOR NURSING

The tool can provide an accurate assessment of the professional values of Saudi nursing students and other Arabic-speaking student nurses.

IMPLICATION FOR NURSING POLICY

The tool can be utilized by nursing and nursing education policymakers in Saudi Arabia and in other Arab countries in guiding the creation of practice and education policies that gears towards improving nurses' professional values in this part of the world.

Cross-classified multilevel models (CCMM) in health research: A systematic review of published empirical studies and recommendations for best practices

Recognizing that health outcomes are influenced by and occur within multiple social and physical contexts, researchers have used multilevel modeling techniques for decades to analyze hierarchical or nested data. Cross-Classified Multilevel Models (CCMM) are a statistical technique proposed in the 1990s that extend standard multilevel modeling and enable the simultaneous analysis of non-nested multilevel data. Though use of CCMM in empirical health studies has become increasingly popular, there has not yet been a review summarizing how CCMM are used in the health literature. To address this gap, we performed a scoping review of empirical health studies using CCMM to: (a) evaluate the extent to which this statistical approach has been adopted; (b) assess the rationale and procedures for using CCMM; and (c) provide concrete recommendations for the future use of CCMM. We identified 118 CCMM papers published in English-language literature between 1994 and 2018. Our results reveal a steady growth in empirical health studies using CCMM to address a wide variety of health outcomes in clustered non-hierarchical data. Health researchers use CCMM primarily for five reasons: (1) to statistically account for non-independence in clustered data structures; out of substantive interest in the variance explained by (2) concurrent contexts, (3) contexts over time, and (4) age-period-cohort effects; and (5) to apply CCMM alongside other techniques within a joint model. We conclude by proposing a set of recommendations for use of CCMM with the aim of improved clarity and standardization of reporting in future research using this statistical approach.

The gender context of pain

Pain is a major source of global suffering, with women bearing the greatest burden. Alongside biology, psychological and social factors, including gender, help explain these differences. However, there has been no direct attempt to develop a unified social psychological model of men and women's pain. By drawing on approaches to both gender and pain, a gender context model of pain is presented. It proposes that pain is partly influenced by the gender context in which it occurs, which operates at both individual and interpersonal levels. The model is used to structure an appraisal of the existing evidence around gender and pain, and explore whether the model helps explain why such variation occurs. It is argued that despite evidence for an association between gender and pain, there are empirical gaps that need to be addressed. Implications and directions for future investigations into sex, gender and pain are considered.

Digital versus analogue record systems for mass casualty incidents at sea-Results from an exploratory study

Objective

Mis-triage may have serious consequences for patients in mass casualty incidents (MCI) at sea. The purpose of this study was to assess outcome, reliability and validity of an analogue and a digital recording system for triage of a MCI at sea.

Methods

The study based on a triage exercise conducted with a cross-over-design. Forty-eight volunteers were presented a fictional MCI with 50 cases. The volunteers were randomly assigned to start with the analogue (Group A, starting with the analogue followed by the digital system) or digital system (Group B, starting with the digital followed by the analogue system). Triage score distribution and agreement between the triage methods and a predefined standard were reported. Reliability was analysed using Cronbach’s Alpha and Cohen’s Kappa. Validity was measured through sensitivity, specificity and predictive value. Treatment, period and carry-over-effects were analysed using a linear mixed-effects model.

Results

The number of patients triaged (total: n = 3545) with the analogue system (n = 1914; 79.75%) was significantly higher (p = 0.001) than with the digital system (n = 1631; 67.96%). A trend towards a higher percentage of correct triages with the digital system was observed (p = 0.282). Ratio of under-triage was significantly smaller with the digital system (p = 0.001). Validity measured with Cronbach’s Alpha and Cohen’s Kappa was higher with the digital system. So was sensitivity (category; green: 80.67%, yellow: 73.24%, red: 83.54%; analogue: green: 93.28%, yellow: 82.36%, red: 94.04%) and specificity of the digital system (green: 78.07%, yellow: 63.75%, red: 66.25%; analogue: green: 85.50%, yellow: 79.88%, red: 91.50%). Comparing the predictive values and accuracy, the digital system showed higher scores than the analogue system. No significant patterns of carry-over-effects were observed.

Conclusions

Significant differences were found for the number of triages comparing the analogue and digital recording system. The digital system has a slightly higher reliability and validity than the analogue triage system.

Exploring the complex interactions of baseline patient factors to improve nursing triage of acute coronary syndrome

Emergency department (ED) nurses need to identify patients with potential acute coronary syndrome (ACS) rapidly because treatment delay could impact patient outcomes. Aims of this secondary analysis were to identify key patient factors that could be available at initial ED nurse triage that predict ACS. Consecutive patients with chest pain who called 9-1-1, received a 12-lead electrocardiogram in the prehospital setting, and were transported via emergency medical service were included in the study. A total of 750 patients were recruited. The sample had an average age of 59 years old, was 57% male, and 40% Black. One hundred and fifteen patients were diagnosed with ACS. Older age, non-Caucasian race, and faster respiratory rate were independent predictors of ACS. There was an interaction between heart rate by Type II diabetes receiving insulin in the context of ACS. Type II diabetics requiring insulin for better glycemic control manifested a faster heart rate. By identifying patient factors at ED nurse triage that could be predictive of ACS, accuracy rates of triage may improve, thus impacting patient outcomes.

Reliability and performance of the Swiss Emergency Triage Scale used by paramedics

Objectives

No general emergency department triage scale has been evaluated for prehospital triage. The objective of this study was to evaluate the reliability and the performance of the Swiss Emergency Triage Scale (SETS) used by paramedics to determine the emergency level and orientation of simulated patients.

Patients and methods

In a prospective cross-sectional study, 23 paramedics evaluated 28 clinical scenarios with the SETS using interactive computerized triage software simulating real-life triage. The primary outcome was inter-rater reliability regarding the triage level among participants measured by intraclass correlation coefficient (ICC). Secondary outcomes were the accuracy of triage level and the reliability and accuracy of orientation of patients of at least 75 years to a dedicated geriatric emergency centre.

Results

Twenty-three paramedics completed the evaluation of the 28 scenarios (644 triage decisions). Overall, ICC for triage level was 0.84 (95% confidence interval: 0.77–0.99). Correct emergency level was assigned in 89% of cases, overtriage rate was 4.8%, and undertriage was 6.2%. ICC regarding orientation in the subgroup of simulated patients of at least 75 years was 0.76 (95% confidence interval: 0.61–0.89), with 93% correct orientation.

Conclusion

Reliability of paramedics rating simulated emergency situations using the SETS was excellent, and the accuracy of their rating was very high. This suggests that in Switzerland, the SETS could be safely used in the prehospital setting by paramedics to determine the level of emergency and guide patients to the most appropriate hospital.