How long do nursing staff take to measure and record patients' vital signs observations in hospital? A time-and-motion study

Data Quality-Driven Improvement in Health Care: Systematic Literature Review

BACKGROUND

The promise of real-world evidence and the learning health care system primarily depends on access to high-quality data. Despite widespread awareness of the prevalence and potential impacts of poor data quality (DQ), best practices for its assessment and improvement are unknown.

OBJECTIVE

This review aims to investigate how existing research studies define, assess, and improve the quality of structured real-world health care data.

METHODS

A systematic literature search of studies in the English language was implemented in the Embase and PubMed databases to select studies that specifically aimed to measure and improve the quality of structured real-world data within any clinical setting. The time frame for the analysis was from January 1945 to June 2023. We standardized DQ concepts according to the Data Management Association (DAMA) DQ framework to enable comparison between studies. After screening and filtering by 2 independent authors, we identified 39 relevant articles reporting DQ improvement initiatives.

RESULTS

The studies were characterized by considerable heterogeneity in settings and approaches to DQ assessment and improvement. Affiliated institutions were from 18 different countries and 18 different health domains. DQ assessment methods were largely manual and targeted completeness and 1 other DQ dimension. Use of DQ frameworks was limited to the Weiskopf and Weng (3/6, 50%) or Kahn harmonized model (3/6, 50%). Use of standardized methodologies to design and implement quality improvement was lacking, but mainly included plan-do-study-act (PDSA) or define-measure-analyze-improve-control (DMAIC) cycles. Most studies reported DQ improvements using multiple interventions, which included either DQ reporting and personalized feedback (24/39, 61%), IT-related solutions (21/39, 54%), training (17/39, 44%), improvements in workflows (5/39, 13%), or data cleaning (3/39, 8%). Most studies reported improvements in DQ through a combination of these interventions. Statistical methods were used to determine significance of treatment effect (22/39, 56% times), but only 1 study implemented a randomized controlled study design. Variability in study designs, approaches to delivering interventions, and reporting DQ changes hindered a robust meta-analysis of treatment effects.

CONCLUSIONS

There is an urgent need for standardized guidelines in DQ improvement research to enable comparison and effective synthesis of lessons learned. Frameworks such as PDSA learning cycles and the DAMA DQ framework can facilitate this unmet need. In addition, DQ improvement studies can also benefit from prioritizing root cause analysis of DQ issues to ensure the most appropriate intervention is implemented, thereby ensuring long-term, sustainable improvement. Despite the rise in DQ improvement studies in the last decade, significant heterogeneity in methodologies and reporting remains a challenge. Adopting standardized frameworks for DQ assessment, analysis, and improvement can enhance the effectiveness, comparability, and generalizability of DQ improvement initiatives.

Improving diagnosis of early complications (<1 week) through continuous vital sign monitoring following oncological gastrointestinal surgical procedures

BACKGROUND

Patients undergoing major oncological abdominal surgery are prone to postoperative complications, making early recognition crucial. Clinical deterioration is often preceded by changes in vital signs, which are typically measured thrice a day by a nurse. However, intermittent measurements may delay recognizing clinical deterioration. Continuous vital parameter monitoring may lead to earlier recognition and management of complications and reduce nursing workload.

OBJECTIVE

To compare vital parameter measurements between ward nurses and a wireless continuous monitoring system (Sensium® wireless patch) and assess whether this patch can detect clinical deterioration earlier in patients with complications in the first postoperative week.

METHODS

Vital parameters (heart rate, respiratory rate, and temperature) were collected in patients undergoing an oncological resection of the liver, colorectal, or pancreas. Sensium® patch measurements were compared to nurses' measurements to assess the percentages of discordant measurements. In patients with complications in the first postoperative week, time discrepancies between nurses and Sensium® patch measurements were identified in cases of clinical deterioration (respiratory rate ≥15/min, heart rate ≥100/min, and temperature ≥38°C).

RESULTS

Among 227 patients, 22% of the patients experienced complications. Nurse and Sensium® measurements were discrepant in 586/2272 measurements (26%). In 506/586 discrepancies (86%), this was due to the respiratory rate (difference ≥4/min). Compared to nurses, the Sensium® patch detected an elevated respiratory rate 14 h earlier and heart rate 2 h earlier within complications in the first postoperative week. For temperature, no difference was observed.

CONCLUSION

Continuous monitoring with the Sensium® wireless patch holds promise for earlier recognition of complications in patients who underwent major oncological abdominal surgery.

Noncontact Sensors for Vital Signs Measurement: A Narrative Review

Vital signs are crucial for monitoring changes in patient health status. This review compared the performance of noncontact sensors with traditional methods for measuring vital signs and investigated the clinical feasibility of noncontact sensors for medical use. We searched the Medical Literature Analysis and Retrieval System Online (MEDLINE) database for articles published through September 30, 2023, and used the key search terms "vital sign," "monitoring," and "sensor" to identify relevant articles. We included studies that measured vital signs using traditional methods and noncontact sensors and excluded articles not written in English, case reports, reviews, and conference presentations. In total, 129 studies were identified, and eligible articles were selected based on their titles, abstracts, and full texts. Three articles were finally included in the review, and the types of noncontact sensors used in each selected study were an impulse radio ultrawideband radar, a microbend fiber-optic sensor, and a mat-type air pressure sensor. Participants included neonates in the neonatal intensive care unit, patients with sleep apnea, and patients with coronavirus disease. Their heart rate, respiratory rate, blood pressure, body temperature, and arterial oxygen saturation were measured. Studies have demonstrated that the performance of noncontact sensors is comparable to that of traditional methods of vital signs measurement. Noncontact sensors have the potential to alleviate concerns related to skin disorders associated with traditional skin-contact vital signs measurement methods, reduce the workload for healthcare providers, and enhance patient comfort. This article reviews the medical use of noncontact sensors for measuring vital signs and aimed to determine their potential clinical applicability.

Implementation of a Continuous Patient Monitoring System in the Hospital Setting: A Qualitative Study

BACKGROUND

Technology can improve care delivery, patient outcomes, and staff satisfaction, but integration into the clinical workflow remains challenging. To contribute to this knowledge area, this study examined the implementation continuum of a contact-free, continuous monitoring system (CFCM) in an inpatient setting. CFCM monitors vital signs and uses the information to alert clinicians of important changes, enabling early detection of patient deterioration.

METHODS

Data were collected throughout the entire implementation continuum at a community teaching hospital. Throughout the study, 3 group and 24 individual interviews and five process observations were conducted. Postimplementation alarm response data were collected. Analysis was conducted using triangulation of information sources and two-coder consensus.

RESULTS

Preimplementation perceived barriers were alarm fatigue, questions about accuracy and trust, impact on patient experience, and challenges to the status quo. Stakeholders identified the value of CFCM as preventing deterioration and benefitting patients who are not good candidates for telemetry. Educational materials addressed each barrier and emphasized the shared CFCM values. Mean alarm response times were below the desired target of two minutes. Postimplementation interview analysis themes revealed lessened concerns of alarm fatigue and improved trust in CFCM than anticipated. Postimplementation challenges included insufficient training for secondary users and impact on patient experience.

CONCLUSION

In addition to understanding the preimplementation anticipated barriers to implementation and establishing shared value before implementation, future recommendations include studying strategies for optimal tailoring of education to each user group, identifying and reinforcing positive process changes after implementation, and including patient experience as the overarching element in frameworks for digital tool implementation.

Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study

Background

The frequency at which patients should have their vital signs (e.g. blood pressure, pulse, oxygen saturation) measured on hospital wards is currently unknown. Current National Health Service monitoring protocols are based on expert opinion but supported by little empirical evidence. The challenge is finding the balance between insufficient monitoring (risking missing early signs of deterioration and delays in treatment) and over-observation of stable patients (wasting resources needed in other aspects of care).

Objective

Provide an evidence-based approach to creating monitoring protocols based on a patient's risk of deterioration and link these to nursing workload and economic impact.

Design

Our study consisted of two parts: (1) an observational study of nursing staff to ascertain the time to perform vital sign observations; and (2) a retrospective study of historic data on patient admissions exploring the relationships between National Early Warning Score and risk of outcome over time. These were underpinned by opinions and experiences from stakeholders.

Setting and participants

Observational study: observed nursing staff on 16 randomly selected adult general wards at four acute National Health Service hospitals. Retrospective study: extracted, linked and analysed routinely collected data from two large National Health Service acute trusts; data from over 400,000 patient admissions and 9,000,000 vital sign observations.

Results

Observational study found a variety of practices, with two hospitals having registered nurses take the majority of vital sign observations and two favouring healthcare assistants or student nurses. However, whoever took the observations spent roughly the same length of time. The average was 5:01 minutes per observation over a 'round', including time to locate and prepare the equipment and travel to the patient area. Retrospective study created survival models predicting the risk of outcomes over time since the patient was last observed. For low-risk patients, there was little difference in risk between 4 hours and 24 hours post observation.

Conclusions

We explored several different scenarios with our stakeholders (clinicians and patients), based on how 'risk' could be managed in different ways. Vital sign observations are often done more frequently than necessary from a bald assessment of the patient's risk, and we show that a maximum threshold of risk could theoretically be achieved with less resource. Existing resources could therefore be redeployed within a changed protocol to achieve better outcomes for some patients without compromising the safety of the rest. Our work supports the approach of the current monitoring protocol, whereby patients' National Early Warning Score 2 guides observation frequency. Existing practice is to observe higher-risk patients more frequently and our findings have shown that this is objectively justified. It is worth noting that important nurse-patient interactions take place during vital sign monitoring and should not be eliminated under new monitoring processes. Our study contributes to the existing evidence on how vital sign observations should be scheduled. However, ultimately, it is for the relevant professionals to decide how our work should be used.

Study registration

This study is registered as ISRCTN10863045.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 17/05/03) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 6. See the NIHR Funding and Awards website for further award information.

General ward nurses detection and response to clinical deterioration in three hospitals at the Kenyan coast: a convergent parallel mixed methods study

BACKGROUND

In low and middle-income countries like Kenya, critical care facilities are limited, meaning acutely ill patients are managed in the general wards. Nurses in these wards are expected to detect and respond to patient deterioration to prevent cardiac arrest or death. This study examined nurses' vital signs documentation practices during clinical deterioration and explored factors influencing their ability to detect and respond to deterioration.

METHODS

This convergent parallel mixed methods study was conducted in the general medical and surgical wards of three hospitals in Kenya's coastal region. Quantitative data on the extent to which the nurses monitored and documented the vital signs 24 h before a cardiac arrest (death) occurred was retrieved from patients' medical records. In-depth, semi-structured interviews were conducted with twenty-four purposefully drawn registered nurses working in the three hospitals' adult medical and surgical wards.

RESULTS

This study reviewed 405 patient records and found most of the documentation of the vital signs was done in the nursing notes and not the vital signs observation chart. During the 24 h prior to death, respiratory rate was documented the least in only 1.2% of the records. Only a very small percentage of patients had any vital event documented for all six-time points, i.e. four hourly. Thematic analysis of the interview data identified five broad themes related to detecting and responding promptly to deterioration. These were insufficient monitoring of vital signs linked to limited availability of equipment and supplies, staffing conditions and workload, lack of training and guidelines, and communication and teamwork constraints among healthcare workers.

CONCLUSION

The study showed that nurses did not consistently monitor and record vital signs in the general wards. They also worked in suboptimal ward environments that do not support their ability to promptly detect and respond to clinical deterioration. The findings illustrate the importance of implementation of standardised systems for patient assessment and alert mechanisms for deterioration response. Furthermore, creating a supportive work environment is imperative in empowering nurses to identify and respond to patient deterioration. Addressing these issues is not only beneficial for the nurses but, more importantly, for the well-being of the patients they serve.

Workload associated with manual assessment of vital signs as compared with continuous wireless monitoring

BACKGROUND

Vital sign monitoring is considered an essential aspect of clinical care in hospitals. In general wards, this relies on intermittent manual assessments performed by clinical staff at intervals of up to 12 h. In recent years, continuous monitoring of vital signs has been introduced to the clinic, with improved patient outcomes being one of several potential benefits. The aim of this study was to determine the workload difference between continuous monitoring and manual monitoring of vital signs as part of the National Early Warning Score (NEWS).

METHODS

Three wireless sensors continuously monitored blood pressure, heart rate, respiratory rate, and peripheral oxygen saturation in 20 patients admitted to the general hospital ward. The duration needed for equipment set-up and maintenance for continuous monitoring in a 24-h period was recorded and compared with the time spent on manual assessments and documentation of vital signs performed by clinical staff according to the NEWS.

RESULTS

The time used for continuous monitoring was 6.0 (IQR 3.2; 7.2) min per patient per day vs. 14 (9.7; 32) min per patient per day for the NEWS. Median difference in duration for monitoring of vital signs was 9.9 (95% CI 5.6; 21) min per patient per day between NEWS and continuous monitoring (p < .001). Time used for continuous monitoring in isolated patients was 6.6 (4.6; 12) min per patient per day as compared with 22 (9.7; 94) min per patient per day for NEWS.

CONCLUSION

The use of continuous monitoring was associated with a significant reduction in workload in terms of time for monitoring as compared with manual assessment of vital signs.

Real-world implementation of the National Early Warning Score-2 in an acute respiratory unit

INTRODUCTION

The National Early Warning Score-2 (NEWS-2) is used to detect deteriorating patients in hospital settings. We aimed to understand how NEWS-2 functions in the real-life setting of an acute respiratory unit.

METHODS

Clinical observations data were extracted for adult patients (age ≥18 years), admitted under the care of respiratory medicine services from July to December 2019, who had at least one recorded task relating to clinical deterioration. The timing and nature of urgent out-of-hours medical reviews (escalations) were extracted through manual review of the case notes.

RESULTS

The data set comprised 765 admission episodes (48.9% women) with a mean (SD) age of 69.3 (14.8). 8971 out of 35 991 out-of-hours observation sets (24.9%) had a NEWS-2 ≥5, and 586 of these (6.5%) led to an escalation. Out of 687 escalations, 101 (14.7%) were associated with observation sets with NEWS-2<5. Rising oxygen requirement and extreme values of individual observations were associated with an increased risk of escalation. 57.6% of escalations resulted in a change in treatment. Inpatient mortality was higher in patients who were escalated at least once, compared with those who were not escalated.

CONCLUSIONS

Most observation sets with NEWS-2 scores ≥5 did not lead to a medical escalation in an acute respiratory setting out-of-hours, but more than half of escalations resulted in a change in treatment. Rising oxygen requirement is a key indicator of respiratory patient acuity which appears to influence the decision to request urgent out-of-hours medical reviews.

Impact of an emergency department rapid response system on inpatient clinical deterioration: A controlled pre-post study

AIM

To determine the impact implementation of Emergency Department Clinical Emergency Response System (EDCERS) on inpatient deterioration events and identify contributing causal factors.

METHODS

EDCERS was implemented in an Australian regional hospital, integrating a single parameter track and trigger criteria for escalation of care, and emergency, specialty and critical care clinician response to patient deterioration. In this controlled pre-post study, electronic medical records of patients who experienced a deterioration event (rapid response call, cardiac arrest or unplanned intensive care admission) on the ward within 72 h of admission from the emergency department (ED) were reviewed. Causal factors contributing to the deteriorating event were assessed using a validated human factors framework.

RESULTS

Implementation of EDCERS reduced the number of inpatient deterioration events within 72 h of emergency admission with failure or delayed response to ED patient deterioration as a causal factor. There was no change in the overall rate of inpatient deterioration events.

CONCLUSION

This study supports wider implementation of rapid response systems in the ED to improve management of deteriorating patients. Tailored implementation strategies should be used to achieve successful and sustainable uptake of ED rapid response systems and improve outcomes in deteriorating patients.

Intermediate Care Technicians: The Return on Federal Investments of Medics

INTRODUCTION

Over the last 200 years, the "medic" has demonstrated its value at the point of injury care. Unfortunately, when medics leave military service with their medical skills, they have limited direct employment options available to them without added educational requirements. Fortunately, the Veterans Health Administration's (VHA) innovation of the Intermediate Care Technician (ICT) Program has a solution for that problem. This article will look at the Veterans Affairs' creation of the ICT Program, investigate its origins, evaluate where it is today through the lens of the WHO Task-Shifting Model for healthcare system implementation, and address the ICT Programs' potential for tomorrow.

MATERIALS AND METHODS

A descriptive, non-experimental research method design was used to collect and analyze the ICT Program's quantitative and qualitative data.

RESULTS

Through a decade of quality clinical care, Authority of Veteran Affairs Professionals to Practice Health Care Rule, and comparative evaluation of the WHO Task-Shifting Criteria, the ICT Program will bring incredible clinical value to VHA.

CONCLUSION

The VHA ICT Program demonstrates to the U.S. Healthcare System a validated and reliable program to address healthcare worker shortages, reduce healthcare costs, increase access to care, and manage increasing demand for healthcare.

The Road to Developing Standard Time for Efficient Nursing Care: A Time and Motion Analysis

(1) Background: The amount of time nurses spend with their patients is essential to improving the quality of patient care. Studies have shown that nurses spend a considerable amount of time on a variety of activities--which are often not taken into account while estimating nurse-to-patient care time allocation--that could potentially be eliminated, combined or delegated with greater productivity. The current study aimed to calculate standard time for each activity category by quantifying the amount of time required by nurses to complete an activity category and determine the adjustment time that can be given during work, as well as determine factors that can be altered to improve the efficiency of nursing care on inpatient general wards of a governmental hospital. (2) Method: A time and motion study was conducted over two weeks using 1-to-1 continuous observations of nurses as they performed their duties on inpatient general wards, while observers recorded each single activity, and specifically the time and movements required to complete those activities. (3) Result: There was 5100 min of observations over 10 working days. Nurses spent 69% (330 min) of time during their 8 h morning shift on direct patient care, (19.4%) ward/room activities (18%), documentation (14%), indirect patient care (12%) and professional communication (5%). Around 94 min of activities seem to be wasted and can be potentially detrimental to nurses' overall productivity and threaten patient care quality. The standard number of hours that represents the best estimate of a general ward nurse regarding the optimal speed at which the staff nurse can provide care related activities was computed and proposed. (4) Conclusions: The findings obtained from time-motion studies can help in developing more efficient and productive nursing work for more optimal care of patients.

Current methods for contactless optical patient diagnosis: a systematic review

Many countries around the world face a shortage of medical personnel, leading to work overload or even burnout. This calls for political and scientific solutions to relieve the medical personnel. The measurement of vital signs in hospitals is still predominately carried out manually with traditional contact-based methods, taking over a substantial share of the medical personnel's workload. The introduction of contactless methods for vital sign monitoring (e.g., with a camera) has great potential to relieve the medical personnel. This systematic review's objective is to analyze the state of the art in the field of contactless optical patient diagnosis. This review distinguishes itself from already existing reviews by considering studies that do not only propose the contactless measurement of vital signs but also include an automatic diagnosis of the patient's condition. This means that the included studies incorporate the physician's reasoning and evaluation of vital signs into their algorithms, allowing an automated patient diagnosis. The literature screening of two independent reviewers resulted in a total of five eligible studies. The highest number of studies (three) introduce methods for the risk assessment of infectious diseases, one study introduces a method for the risk assessment of cardiovascular diseases, and one study introduces a method for the diagnosis of obstructive sleep apnea. Overall, high heterogeneity in relevant study parameters is reported among the included studies. The low number of included studies indicates a large research gap and emphasizes the demand for further research on this emerging topic.

Improving difficult peripheral intravenous access requires thought, training and technology (DART3): a stepped-wedge, cluster randomised controlled trial protocol

BACKGROUND

Peripheral intravenous catheters (PIVCs) are the most used invasive medical device in healthcare. Yet around half of insertion attempts are unsuccessful leading to delayed medical treatments and patient discomfort of harm. Ultrasound-guided PIVC (USGPIVC) insertion is an evidence-based intervention shown to improve insertion success especially in patients with Difficult IntraVenous Access (BMC Health Serv Res 22:220, 2022), however the implementation in some healthcare settings remains suboptimal. This study aims to co-design interventions that optimise ultrasound guided PIVC insertion in patients with DIVA, implement and evaluate these initiatives and develop scale up activities.

METHODS

A stepped-wedge cluster randomized controlled trial will be conducted in three hospitals (two adult, one paediatric) in Queensland, Australia. The intervention will be rolled out across 12 distinct clusters (four per hospital). Intervention development will be guided by Michie's Behavior Change Wheel with the aim to increase local staff capability, opportunity, and motivation for appropriate, sustainable adoption of USGPIVC insertion. Eligible clusters include all wards or departments where > 10 PIVCs/week are typically inserted. All clusters will commence in the control (baseline) phase, then, one cluster per hospital will step up every two months, as feasible, to the implementation phase, where the intervention will be rolled out. Implementation strategies are tailored for each hospital by local investigators and advisory groups, through context assessments, staff surveys, and stakeholder interviews and informed by extensive consumer interviews and consultation. Outcome measures align with the RE-AIM framework including clinical-effectiveness outcomes (e.g., first-time PIVC insertion success for DIVA patients [primary outcome], number of insertion attempts); implementation outcomes (e.g., intervention fidelity, readiness assessment) and cost effectiveness outcomes. The Consolidated Framework for Implementation Research framework will be used to report the intervention as it was implemented; how people participated in and responded to the intervention; contextual influences and how the theory underpinning the intervention was realised and delivered at each site. A sustainability assessment will be undertaken at three- and six-months post intervention.

DISCUSSION

Study findings will help define systematic solutions to implement DIVA identification and escalation tools aiming to address consumer dissatisfaction with current PIVC insertion practices. Such actionable knowledge is critical for implementation of scale-up activities.

TRIAL REGISTRATION

Prospectively registered (Australian and New Zealand Clinical Trials Registry; ACTRN12621001497897).

Nurses' Perceptions About Smart Beds in Hospitals

The purpose of this study was to examine nurses' perceptions of the smart mattress equipped with Internet of things, which are incorporated into patients' beds. In addition, their concerns and suggestions about smart mattress were explored. A total of 349 nurses in a tertiary hospital participated in a cross-sectional survey. Data were collected using questionnaires. Descriptive statistical analysis was used for survey data, whereas content analysis was used for qualitative data from open-ended questions. The participants' intention to accept the smart mattresses was 12.5 (SD, 1.73) on average, indicating a high level of acceptance. The participants expected the smart mattresses to decrease their physical work burden, improve work efficiency, and prevent pressure ulcers. However, they were concerned about an increase in other aspects of their workload and in patient safety problems due to false alarms, inaccuracies, and malfunctions of the device. Nurses suggested various features that can be integrated into smart mattress. It is critical to address nurses' perceptions, expectations, and concerns during the conceptual and developmental stage of new technology in order to improve the usability, acceptance, and adoption of smart mattresses and other new innovations in hospital settings.

Geriatric Care Management System Powered by the IoT and Computer Vision Techniques

The digitalisation of geriatric care refers to the use of emerging technologies to manage and provide person-centered care to the elderly by collecting patients' data electronically and using them to streamline the care process, which improves the overall quality, accuracy, and efficiency of healthcare. In many countries, healthcare providers still rely on the manual measurement of bioparameters, inconsistent monitoring, and paper-based care plans to manage and deliver care to elderly patients. This can lead to a number of problems, including incomplete and inaccurate record-keeping, errors, and delays in identifying and resolving health problems. The purpose of this study is to develop a geriatric care management system that combines signals from various wearable sensors, noncontact measurement devices, and image recognition techniques to monitor and detect changes in the health status of a person. The system relies on deep learning algorithms and the Internet of Things (IoT) to identify the patient and their six most pertinent poses. In addition, the algorithm has been developed to monitor changes in the patient's position over a longer period of time, which could be important for detecting health problems in a timely manner and taking appropriate measures. Finally, based on expert knowledge and a priori rules integrated in a decision tree-based model, the automated final decision on the status of nursing care plan is generated to support nursing staff.

The prediction of 24-h mortality by the respiratory rate and oxygenation index compared with National Early Warning Score in emergency department patients: an observational study

BACKGROUND

The ROX index combines respiratory rate and oxygenation to predict the response to oxygen therapy in pneumonia. It is calculated by dividing the patient's oxygen saturation, by the inspired oxygen concentration, and then by the respiratory rate (e.g. 95%/0.21/16 = 28). Since this index includes the most essential physiological variables to detect deterioration, it may be a helpful risk tool in the emergency department (ED). Although small studies suggest it can predict early mortality, no large study has compared it with the National Early Warning Score (NEWS), the most widely validated risk score for death within 24 h.

AIM

The aim of this study was to compare the ability of the ROX index with the NEWS to predict mortality within 24 h of arrival at the hospital.

METHODS

This was a retrospective observational multicentre analysis of data in the Netherlands Emergency Department Evaluation Database (NEED) on 270 665 patients attending four participating Dutch EDs. The ROX index and NEWS were determined on ED arrival and prior to ED treatment.

RESULTS

The risk of death within 24 h increased with falling ROX and rising NEWS values. The area under the receiving operating characteristic curves for 24-h mortality of NEWS was significantly higher than for the ROX index [0.92; 95% confidence interval (CI), 0.91-0.92 versus 0.87; 95% CI, 0.86-0.88; P  < 0.01]. However, the observed and predicted mortality by the ROX index was identical to mortality of 5%, after which mortality was underestimated. In contrast, up to a predicted 24-h mortality of 3% NEWS slightly underestimates mortality, and above this level over-estimates it. The standardized net benefit of ROX is slightly higher than NEWS up to a predicted 24-h mortality of 3%.

CONCLUSION

The prediction of 24-h mortality by the ROX index is more accurate than NEWS for most patients likely to be encountered in the ED. ROX may be used as a first screening tool in the ED.

The United Kingdom's National Early Warning Score: should everyone use it? A narrative review

This review critiques the benefits and drawbacks of the United Kingdom's National Early Warning Score (NEWS). Potential developments for the future are considered, as well as the role for NEWS in an emergency department (ED). The ability of NEWS to predict death within 24 h has been well validated in multiple clinical settings. It provides a common language for the assessment of clinical severity and can be used to trigger clinical interventions. However, it should not be used as the only metric for risk stratification as its ability to predict mortality beyond 24 h is not reliable and greatly influenced by other factors. The main drawbacks of NEWS are that measuring it requires trained professionals, it is time consuming and prone to calculation error. NEWS is recommended for use in acute UK hospitals, where it is linked to an escalation policy that reflects postgraduate experience; patients with lower NEWS are first assessed by a junior clinician and those with higher scores by more senior staff. This policy was based on expert opinion that did not consider workload implications. Nevertheless, its implementation has been shown to improve the efficient recording of vital signs. How and who should respond to different NEWS levels is uncertain and may vary according to the clinical setting and resources available. In the ED, simple triage scores which are quicker and easier to use may be more appropriate determinants of acuity. However, any alternative to NEWS should be easier and cheaper to use and provide evidence of outcome improvement.

How do nurses use early warning system vital signs observation charts in rural, remote and regional health care facilities: A scoping review

INTRODUCTION

Physiological signs of clinical deterioration are known to occur in the hours preceding a serious adverse event. As a result, track and trigger systems known as early warning systems (EWS) were introduced and routinely implemented as patient observation tools to trigger an alert in the presence of abnormal vital signs.

OBJECTIVE

The objective aimed to explore the literature pertaining to EWS and their utilisation in rural, remote and regional health care facilities.

DESIGN

The Arksey and O'Malley's methodological framework was used to guide the scoping review. Only studies reporting on rural, remote and regional health care settings were included. All four authors participated in the screening, data extraction and analysis process.

FINDINGS

Our search strategy yielded 3869 peer-reviewed articles published between 2012 and 2022, with six studies ultimately included. Collectively, the studies included in this scoping review examined the complex interaction between patient vital signs observation charts and recognition of patient deterioration.

DISCUSSION

Whilst rural, remote and regional clinicians use EWS to recognise and respond to clinical deterioration, noncompliance dilutes the tool's effectiveness. This overarching finding is informed by three contributing factors: documentation, communication and challenges specific to the rural context.

CONCLUSION

The success of EWS relies on accurate documentation and effective communication within the interdisciplinary team to support appropriate responses to clinical patient decline. More research is required to understand the nuances and complexities of rural and remote nursing and to address challenges associated with the use of EWS in rural health care settings.

The transcultural adaptation and validation of the Chinese version of the Attitudes Toward Recognizing Early and Noticeable Deterioration scale

Background

In China, clinical deterioration events present a real problem for every clinical nurse. Patient deterioration is determined in part by nurses' attitudes toward early recognition of clinical deterioration. However, research on attitudes toward the early identification of clinical deterioration is still in its infancy, and even less research has been done on ward nurses' attitudes toward the early identification of clinical deterioration. To drive behavioral change and improve the care of deteriorating patients, nurses need comprehensive, valid, and reliable tools to assess their attitudes toward early identification of deterioration.

Objective

In this study, we aimed to translate the Attitudes Toward Recognizing Early and Noticeable Deterioration (ATREND) scale into Chinese and to assess its validity and reliability tests.

Methods

From March 2022 to July 2022, the ATREND scale was translated, back-translated, and cross-culturally adapted into the Chinese version using a modified Brislin translation model. Then, 460 ward nurses were recruited from tertiary Grade A general hospitals in two cities: Shenyang and Jinzhou in Liaoning Province, China. Reliability analyses were conducted using internal consistency, split-half, and test-retest reliability. We convened a committee of experts to determine the validity of the content. Tests of the structural validity of the scale were conducted using exploratory and validation factor analyses.

Results

The Cronbach's α value of the Chinese version of the ATREND scale was 0.804, and the Cronbach's α value of the dimensions ranged from 0.782 to 0.863. The split-half reliability and test-retest reliability were 0.846 and 0.711, respectively. Furthermore, the scale has an index of content validity of 0.922, indicating a high level of content validity. In exploratory factor analysis, eigenvalues, total variance explained, and scree plot supported a three-factor structure. The three-factor model supported by this study was confirmed by confirmatory factor analysis (CFA). Moreover, the model fitting indexes (e.g., χ ²/DF = 1.498, GFI = 0.954, RMSEA = 0.047) were all within acceptable limits based on the CFA.

Conclusion

The Chinese version of the scale is reliable and valid among ward nurses. Nursing educators and clinicians will be able to develop targeted educational programs to enhance the competence and behaviors of Chinese ward nurses in recognizing clinical deterioration. It will be based on the developed scale to assess Chinese nurses' attitudes and practices regarding early recognition of clinical deterioration. As a result, it is necessary to consider the Chinese scale's three-factor structure. The developed three-factor structured scale will assess Chinese ward nurses' attitudes and practices toward patient observation and vital sign-monitoring empowerment, enlightening them on the importance of patient observation, encouraging ward nurses to use a wider range of patient assessment techniques to capture early signs of clinical deterioration, and helping ward nurses to develop clinical confidence to monitor clinical deterioration.

Effect of implementing the NEWS2 escalation protocol in a large acute NHS trust: a retrospective cohort analysis of mortality, workload and ability of early warning score to predict death within 24 hours

OBJECTIVES

To describe the inpatient population, establish patterns in admission and mortality over a 4-year period in different cohorts and assess the prognostic ability and workload implications of introducing the National Early Warning Score 2 (NEWS2) and associated escalation protocol.

DESIGN

Retrospective cohort analyses of medical and surgical inpatient admissions.

SETTING

Large teaching hospital with tertiary inpatient care and a major trauma centre employing an electronic observations platform, initially with a local early warning score, followed by NEWS2 introduction in June 2019.

PARTICIPANTS

332 682 adult patients were admitted between 1 January 2016 and 31 December 2019.

OUTCOME MEASURES

Mortality, workload and ability of early warning score to predict death within 24 hours.

RESULTS

Admissions rose by 19% from 76 055 in 2016 to 90 587 in 2019. Total bed days rose by 10% from 433 382 to 477 485. Mortality fell from 3.7% to 3.1% and was significantly lower in patients discharged from a surgical specialty, 1.0%-1.2% (p<0.001). Total observations recorded increased by 14% from 1 976 872 in 2016 to 2 249 118 in 2019. 65% of observations were attributable to patients under medical specialties, 34% to patients under surgical specialties. Recorded escalations to the registrar were stable from January 2016 to May 2019 but trebled following the introduction of NEWS2 in June 2019.

CONCLUSIONS

There was an increase in hospital inpatient activity between 2016 and 2019, associated with a reduction in mortality and percentage of observations calculated as reaching threshold NEWS2 score of 7 for escalation to the registrar. The introduction of the NEWS2, with a higher sensitivity and lower specificity, when allied to its escalation protocol, was associated with a significant increase in actual recorded escalations to the registrar. This was more marked in the surgical population and would support refining threshold scores based on admission characteristics when developing the next iteration of NEWS.

Workload involved in vital signs-based monitoring & responding to deteriorating patients: A single site experience from a regional New Zealand hospital

Objective

This study aimed to quantify the workload involved in patient monitoring by vital signs and early warning scores (EWS), and the time spent by a rapid response team locally known as the Patient-at-Risk (PaR) team in responding to deteriorating patients.

Methods

The workload involved in the measurement and the documentation of vital signs and EWS was quantified by time and motion study using electronic stopwatch application in 167 complete sets of vital signs observations taken by nursing staff on general hospital wards at Taranaki Base Hospital, New Plymouth, New Zealand. The workload involved in responding to deteriorating patients was measured by the PaR team in real-time and recorded in an electronic logbook specifically designed for this purpose. Dependent variables were studied using analysis of variance (ANOVA), post hoc Tukey, Kruskal Wallis test, Mann-Whitney test and correlation tests.

Results

The mean time to measure and record a complete set of vital signs including interruptions was 4:18 (95% CI: 4:07–4:28) minutes. After excluding interruptions, the mean time taken to measure and record a set of vital signs was 3:24 (95% CI: 3:15–3:33) minutes. We found no statistical difference between the observer, location of the patient, staff characteristics or experience and patient characteristics. PaR nurses' mean time to provide rapid response was 47:36 (95% CI: 44:57–50:15) minutes. Significantly more time was spent on patients having severe degrees of deterioration (higher EWS) < 0.001. No statistical difference was observed between ward specialty, and nursing shifts.

Conclusions

Patient monitoring and response to deterioration consumed considerable time. Time spent in monitoring was not affected by independent and random factors studied; however, time spent on the response was greater when patients had higher degrees of deterioration.

The clinical neglect of vital signs' assessment: an emerging patient safety issue?

OBJECTIVE

Vital signs assessment is a critical component of acute clinical care. Despite this, research has consistently found that the assessment of these signs is often neglected in clinical practice. This paper highlights three recent cases in the media where the neglect of vital signs assessment resulted in patient mortality.

RESULTS

Recent media reports highlighted the potentially devastating consequences of vital signs not being rigorously assessed including avoidable death. The public needs to be confident they will receive safe, quality health care when admitted to hospital.

CONCLUSION

The neglect of vital signs assessment places patients at risk of poor outcomes. Early detection of clinical deterioration via the assessment of vital signs facilitates prompt medical intervention. Factors contributing to the neglect of vital signs assessment need to be identified and corrective action taken to improve the safety of clinical care.

Consensus on patient cases for hospitalised children with a high paediatric track and trigger tool score that raises no mounting concern: a Delphi process study

BACKGROUND

Paediatric track and trigger tools (PTTTs) based on vital parameters have been implemented in hospitals worldwide to help healthcare professionals identify signs of critical illness and incipient deterioration in hospitalised children. It has been documented that nurses do not use PTTT as intended, but deviate from PTTT protocols because, in some situations, PTTT observations make little sense to them. The present study aimed to reach consensus on whether automatically generated PTTT scores that are higher than deemed reasonable by healthcare professionals according to their professional experience and clinical expertise may be downgraded.

METHODS

A two-round modified Delphi technique was used to explore consensus on 14 patient cases for hospitalised children with a high PTTT score that did not raise concerns by systematically collating questionnaire responses. Participants rated their level of agreement on a 9-point Likert scale. IQR and median were calculated for each case.

FINDINGS

A total of 221 participants completed round 1 and 101 participants completed round 2. Across the two rounds, majority of the participants were from paediatric departments, nurses and women. In round 1, consensus on inclusion was reached on 2 of the 14 cases. In round 2, consensus was reached on one additional patient case. Three of the 11 non-consensus cases remaining after rounds 1 and 2 were included by the research group based on predefined criteria.

CONCLUSION

In conclusion, a consensus opinion was achieved on six patient cases where the child had a high PTTT score but where the healthcare professionals were not as concerned as indicated by the PTTT score.

Attitudes and practices towards vital signs monitoring on paediatric wards: Cross-validation of the Ped-V scale

PURPOSE

To develop and psychometrically test an instrument measuring the attitudes and practices towards vital signs (VS) monitoring in nurses caring for children on paediatric wards (Ped-V scale).

DESIGN AND METHODS

This is a multicentre cross-validation study with a cross-sectional design. The Ped-V scale was developed by adapting the V-scale to the paediatric context and administered to a convenience sample of clinical nurses working in paediatric wards from January to May 2020. The content validity of the Ped-V scale was evaluated by a group of 10 experts. The psychometric properties of the scale were tested through Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

RESULTS

Overall, 10 Italian hospitals participated in the study, and 640 questionnaires were completed (87% female). At EFA a 30-item version of the scale and four factors emerged. This solution was confirmed at CFA: F1) 'Inaccuracy of VS monitoring and workload'; F2) 'Clinical competence and communication'; F3) 'Standardization and protocol adherence'; F4) 'Misconceptions about key indicators'. Cronbach's alpha ranged between 0.63 and 0.85.

CONCLUSIONS

The Ped-V scale is valid and reliable for use in the paediatric context to identify barriers concerning nurses' self-efficacy, competences, and knowledge of clinical indicators of paediatric critical deterioration, attitudes towards accuracy, standardization, communication to senior team members and the appropriate use of technology in paediatric VS monitoring.

PRACTICE IMPLICATIONS

The Ped-V scale may assist in identifying gaps in nurses' attitudes and devising strategies to change nurses' beliefs, knowledge, skills and decreasing individual, local cultural or organizational barriers towards VS monitoring.

How Routine are Routine Vital Signs?

BACKGROUND AND OBJECTIVES

Frequent measurement of vital signs has been associated with disruptions to sleep and increased nursing workload. Since vital signs are often measured at the same frequency regardless of patient acuity, there may be inappropriate prioritization of limited resources. We sought to understand what hospitalists report as the default frequency of routine vital sign measurement in hospitalized pediatric patients at academic institutions.

METHODS

We surveyed pediatric hospital medicine leadership at Association of American Medical Colleges-affiliated medical schools on their perception of routine vital signs in general medicine inpatients.

RESULTS

Survey requests were sent to individuals representing 140 unique hospitals. Responses were received from 74 hospitalists, representing a 53% response rate. Routine vitals were most commonly characterized as those collected every 4 hours (78%; 95% confidence interval, 67%-87%), though at least 1 in 5 hospitalists reported obtaining all or select vital signs (eg, blood pressure) less frequently. Strategies to decrease vital sign frequency varied.

CONCLUSIONS

Our results suggest routine vital signs are not a normative concept across all patient populations in pediatrics. We further identify several conditions under which deviation from routines are sanctioned.

Emergency department management of severely injured children in New South Wales

OBJECTIVE

Presentations to EDs for major paediatric injury are considerably lower than for adults. International studies report lower levels of critical intervention, including intubation, required in injured children. A New South Wales study demonstrated an adverse event rate of 7.6% in children with major injury. Little is known about the care and interventions received by children presenting to Australian EDs with major injury.

METHODS

The ED care of injured children <16 years who ultimately received definitive care at a New South Wales Paediatric Trauma Centre between July 2015 and September 2016, and had an Injury Severity Score ≥9, required intensive care admission or died were included.

RESULTS

There were 491 injured children who received treatment at 64 EDs, half (49.4%, n = 243) were treated initially in a Paediatric Trauma Centre. One third (32.8%) sustained an Injury Severity Score >12, more than half (n = 251, 51.1%) of children were classified as a triage category 1 or 2, and 38.3% received trauma team activation. Critical intervention was infrequent. Intubation was documented in 9.2% (n = 45), needle thoracostomy and activation of massive transfusion protocol in two (0.4%) and eight (1.6%) had intraosseous access established. Only a small proportion (14.7%, n = 63) had two or more observations outside the normal range.

CONCLUSION

A small proportion of children arriving in the ED post-major trauma have deranged clinical observations and receive critical interventions. The limited exposure in the management of trauma in paediatric patients requires measures to ensure clinicians have adequate training, skills and confidence to manage these clinical presentations in all EDs.