How vital are the vital signs? A multi-center observational study from emergency departments of Pakistan

Feasibility study of the Utstein Style For Drowning to aid data collection on the resuscitation of drowning victims

Aim

The revised Utstein Style For Drowning (USFD) was published in 2015. Core data were considered feasible to be reported in most health systems worldwide. We aimed to determine the suitability of the USFD as a template for reporting data from drowning research.

Method

Clinical records of 437 consecutive drowning presentations to the Sunshine Coast Hospital and Health Service Emergency Departments (ED) between 1/1/2015 and 31/12/2021 were examined for data availability to complete the USFD. The proportions of patients with each variable documented is reported. Time taken to record core and supplementary variables was recorded for 120 consecutive patients with severity of drowning Grade 1 or higher.

Results

There were 437 patients, including 227 (51.9%) aged less than 16 years. There were 253 (57.9%) males and 184 (42.1%) females. Sixty-one patients (13.9%) received cardiopulmonary resuscitation (CPR). There were nine (2.1%) deaths after presentation to the ED. Median time for data entry was 17 minutes for core variables and 6 min for supplementary. This increased to 29 + 6 minutes for patients in cardiac arrest. Sixteen (32.7%) of 49 core variables and four (13.3%) of 30 supplementary variables were documented 100% of the time. One (2.0%) core and seven (23.3%) supplementary variables were never documented. Duration of submersion was documented in 100 (22.9%) patients.

Conclusion

USFD is time consuming to complete. Data availability to enable completion of the USFD varies widely, even in a resource rich health system. These results should be considered in future revisions of the USFD.

The value of shock index, modified shock index and age shock index to predict mortality and hospitalisation in a district level emergency centre

Introduction

Triage is the most important step in patients' journey through an Emergency Centre (EC) and directly impacts time to critical actions. Triage tools, like the South African Triage Scale, are however not designed to predict patient outcomes. The shock index (SI), modified shock index (MSI) and age shock index (ASI) are clinical markers derived from vital signs and correlate with tissue perfusion in critically ill patients. This study aimed to assess the value of SI, MSI and ASI to predict mortality and the need for hospitalisation in all adult patients presenting to a district level emergency centre in South Africa.

Methods

This diagnostic study was performed as a retrospective observational study, using data from an existing electronic registry at a district level hospital emergency centre over a period of 24 months. All adult patients who presented to Mitchells Plain Hospital were eligible for inclusion. Sensitivity, specificity and likelihood ratios were calculated for each variable as a predictor of mortality and hospitalisation with pre-determined thresholds.

Results

During the study period of 24 months, a total of 61 329 patients ≥ 18 years old presented to the EC with 60 599 included in the final sample. A red SATS triage category (+LR = 7.2) and SI ≥1.3 (+LR = 4.9) were the only two predictors with any significant clinical value. The same two markers performed well for both patients with and without trauma and specifically for patients who died while under the care of the emergency centre.

Discussion

The study demonstrated that patients with a SI≥1.3 at triage have a significantly higher likelihood to die or require hospitalisation, whether the presenting complaint is trauma related or not, especially to predict mortality while under the care of the EC. Incorporating this marker as a triage alert could expedite the identification of patients requiring time critical interventions and improve patient throughput in the emergency centre.

Factors associated with the frequency of respiratory rate measurement by hospital nurses: a multicentre cross-sectional study

BACKGROUND

Although the respiratory rate (RR) is a sensitive predictor of patient deterioration, it is often neglected. Moreover, only a few studies have investigated the factors that cause health professionals to disregard RR.

AIMS

This cross-sectional study aimed to elucidate the factors affecting the frequency of RR measurement by the nurses.

METHODS

An original questionnaire, comprising 18 factors extracted from previous studies, was administered to nurses from nine hospitals.

FINDINGS

Of the 644 eligible nurses, 592 (92%) completed the questionnaire. The adjusted odds ratios and 95% confidence intervals of the factors of importance, educational experiences, shortened-count method use, negative experiences, and inconvenience were 2.24 (1.13-4.45), 2.26 (1.20-4.26), 0.61 (0.42-0.91), 0.45 (0.29-0.70), and 0.41 (0.26-0.65), respectively.

CONCLUSION

Education, feedback systems, and automation are the primary issues that need attention. Prioritising these factors could provide a practical guide for optimising the frequency of RR measurement.

Data quality of Glasgow Coma Scale and Systolic Blood Pressure in scientific studies involving physician-staffed emergency medical services: Systematic review

BACKGROUND

Emergency physicians on-scene provide highly specialized care to severely sick or injured patients. High-quality research relies on the quality of data, but no commonly accepted definition of EMS data quality exits. Glasgow Coma Score (GCS) and Systolic Blood Pressure (SBP) are core physiological variables, but little is known about the quality of these data when reported in p-EMS research. This systematic review aims to describe the quality of pre-hospital reporting of GCS and SBP data in studies where emergency physicians are present on-scene.

METHODS

A systematic literature search was performed using CINAHL, Cochrane, Embase, Medline, Norart, Scopus, SweMed + and Web of Science, in accordance with the PRISMA guidelines. Reported data on accuracy of reporting, completeness and capture were extracted to describe the quality of documentation of GCS and SBP. External and internal validity assessment was performed by extracting a set of predefined variables.

RESULTS

We included 137 articles describing data collection for GCS, SBP or both. Most studies (81%) were conducted in Europe and 59% of studies reported trauma cases. Reporting of GCS and SBP data were not uniform and may be improved to enable comparisons. Of the predefined external and internal validity data items, 26%-45% of data were possible to extract from the included papers.

CONCLUSIONS

Reporting of GCS and SBP is variable in scientific papers. We recommend standardized reporting to enable comparisons of p-EMS.

Telling, Hearing, and Believing: A Critical Analysis of Narrative Bioethics

Narrative ethics taps into an inherent human need to tell our own stories centred on our own moral values and to have those stories heard and acknowledged. However, not everyone's words are afforded equal power. The use of narrative ethics in bioethical decision-making is problematized by a disparity in whose stories are told, whose stories are heard, and whose stories are believed. Here, I conduct an analysis of narrative ethics through a critical theory lens to show how entrenched patterns of narrative neglect in medicine are harming not only our capacity to make use of narrative ethics but also our capacity to deliver effective healthcare. To illustrate this point, I use three examples where the patient's gender affects how their stories unfold: autism, weight, and pain management. From these, I argue that the use of narrative ethics without the application of a critical theory lens risks the exacerbation of what Miranda Fricker refers to as "testimonial injustice," the prima facie harm experienced by individuals whose credibility is undermined by others' prejudices. Finally, I suggest that narrative ethics can be a powerful tool for mitigating oppressive practices in medicine if we couple it with critical analysis that enables us to understand the power dynamics at play in storytelling.

Inter-hospital communication and transfer practices during COVID-19 Pandemic in Karachi, Pakistan. A brief overview

Objective:

To discuss the referral mechanisms established for safe and expeditious inter-facility transfer of COVID 19 positive patients to ensure their referrals through establishing proper communication channels.

Methods:

Mobile phone and WhatsApp based groups, administrated by The Indus Hospital were established in April 2020. Through detailed reports and frequent communication, factors like bed and ventilator availability across these facilities are shared. Weekly reports through zoom meetings updating the key stake holders, discussion of problems faced and planning for the week ahead are also done.

Result:

The establishment of these groups has been successful in ensuring referral to and from The Indus Hospital to various healthcare facilities across Karachi using appropriate ambulance services.

Conclusion:

The development of referral mechanisms is the need of the day that has been highlighted through the COVID 19 pandemic. It is our hope that these mechanisms are sustained after the pandemic and result in improvement in patient outcome through proper referrals.

Vital Signs Data and Probability of Hospitalization, Transfer to Another Facility, or Emergency Department Death Among Adults Presenting for Medical Illnesses to the Emergency Department at a Large Urban Hospital in the United States

BACKGROUND

Vital signs are routinely measured from patients presenting to the emergency department (ED), but how they predict clinical outcomes like hospitalization is unclear.

OBJECTIVES

To evaluate how pulse, respiratory rate, temperature, and mean arterial pressure (MAP) at ED presentation predicted probability of hospitalization, transfer to another center, or death in the ED (as a composite outcome) vs. other ED dispositions (discharged, eloped, and sent to observation or labor and delivery), and to assess the performance of different modeling strategies, specifically, models including flexible forms of vital signs (as restricted cubic splines) vs. linear forms (untransformed numeric variables) vs. binary transformations (vital signs values categorized simply as normal or abnormal).

METHODS

We analyzed the data of 12,660 adults presenting for medical illnesses to the ED at the University of California, San Francisco Medical Center, San Francisco, California, throughout 2014. We used flexible forms of vital signs data at presentation (pulse, temperature, respiratory rate, and MAP) to predict ED disposition (admitted, transferred, or died, vs. other ED dispositions) and to guide binary transformation of vital signs. We compared performance of models including vital signs as flexible terms, binary transformations, or linear terms.

RESULTS

A model including flexible forms of vital signs and age to predict the outcome had good calibration and moderate discrimination (C-statistic = 71.2, 95% confidence interval [CI] 70.0-72.4). Binary transformation of vital signs had minimal impact on performance (C-statistic = 71.3, 95% CI 70.2-72.5). A model with linear forms was less calibrated and had slightly reduced discrimination (C-statistic = 70.3, 95% CI 69.1-71.5).

CONCLUSIONS

Findings suggest that flexible modeling of vital signs may better reflect their association with clinical outcomes. Future studies to evaluate how vital signs could assist clinical decision-making in acute care settings are suggested.

Exploring injury severity measures and in-hospital mortality: A multi-hospital study in Kenya

INTRODUCTION

Low- and middle-income countries (LMICs) have a disproportionately high burden of injuries. Most injury severity measures were developed in high-income settings and there have been limited studies on their application and validity in low-resource settings. In this study, we compared the performance of seven injury severity measures: estimated Injury Severity Score (eISS), Glasgow Coma Score (GCS), Mechanism, GCS, Age, Pressure score (MGAP), GCS, Age, Pressure score (GAP), Revised Trauma Score (RTS), Trauma and Injury Severity Score (TRISS) and Kampala Trauma Score (KTS), in predicting in-hospital mortality in a multi-hospital cohort of adult patients in Kenya.

METHODS

This study was performed using data from trauma registries implemented in four public hospitals in Kenya. Estimated ISS, MGAP, GAP, RTS, TRISS and KTS were computed according to algorithms described in the literature. All seven measures were compared for discrimination by computing area under curve (AUC) for the receiver operating characteristics (ROC), model fit information using Akaike information criterion (AIC), and model calibration curves. Sensitivity analysis was conducted to include all trauma patients during the study period who had missing information on any of the injury severity measure(s) through multiple imputations.

RESULTS

A total of 16,548 patients were included in the study. Complete data analysis included 14,762 (90.2%) patients for the seven injury severity measures. TRISS (complete case AUC: 0.889, 95% CI: 0.866-0.907) and KTS (complete case AUC: 0.873, 95% CI: 0.852-0.892) demonstrated similarly better discrimination measured by AUC on in-hospital deaths overall in both complete case analysis and multiple imputations. Estimated ISS had lower AUC (0.764, 95% CI: 0.736-0.787) than some injury severity measures. Calibration plots showed eISS and RTS had lower calibration than models from other injury severity measures.

CONCLUSIONS

This multi-hospital study in Kenya found statistical significant higher performance of KTS and TRISS than other injury severity measures. The KTS, is however, an easier score to compute as compared to the TRISS and has stable good performance across several hospital settings and robust to missing values. It is therefore a practical and robust option for use in low-resource settings, and is applicable to settings similar to Kenya.