Accuracy Comparisons between Manual and Automated Respiratory Rate for Detecting Clinical Deterioration in Ward Patients

Importance of specific vital signs in nurses' recognition and response to deteriorating patients: A scoping review

AIM(S)

To explore the published research related to nurses' documentation and use of vital signs in recognising and responding to deteriorating patients.

DESIGN

Scoping review of international, peer-reviewed research studies.

DATA SOURCES

Cumulative Index to Nursing and Allied Health Literature Complete, Medline Complete, American Psychological Association PsycInfo and Excerpta Medica were searched on 25 July 2023.

REPORTING METHOD

Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews.

RESULTS

Of 3880 potentially eligible publications, 32 were included. There were 26 studies of nurses' vital sign documentation: 21 adults and five paediatric. The most and least frequently documented vital signs were blood pressure and respiratory rate respectively. Seven studies focused on vital signs and rapid response activation or afferent limb failure. Five studies of vital signs used to trigger the rapid response system showed heart rate was the most frequent and respiratory rate and conscious state were the least frequent. Heart rate was least likely and oxygen saturation was most likely to be associated with afferent limb failure (n = 4 studies).

CONCLUSION

Despite high reliance on using vital signs to recognise clinical deterioration and activate a response to deteriorating patients in hospital settings, nurses' documentation of vital signs and use of vital signs to activate rapid response systems is poorly understood. There were 21studies of nurses' vital sign documentation in adult patients and five studies related to children.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

A deeper understanding of nurses' decisions to assess (or not assess) specific vital signs, analysis of the value or importance nurses place (or not) on specific vital sign parameters is warranted. The influence of patient characteristics (such as age) or the clinical practice setting, and the impact of nurses' workflows of vital sign assessment warrants further investigation.

PATIENT OR PUBLIC CONTRIBUTION

No Patient or Public Contribution.

Using a wearable patch to develop a digital monitoring biomarker of inflammation in response to LPS challenge

Remote inflammation monitoring with digital health technologies (DHTs) would provide valuable information for both clinical research and care. Controlled perturbations of the immune system may reveal physiological signatures which could be used to develop a digital biomarker of inflammatory state. In this study, molecular and physiological profiling was performed following an in vivo lipopolysaccharide (LPS) challenge to develop a digital biomarker of inflammation. Ten healthy volunteers received an intravenous LPS challenge and were monitored for 24 h using the VitalConnect VitalPatch (VitalPatch). VitalPatch measurements included heart rate (HR), heart rate variability (HRV), respiratory rate (RR), and skin temperature (TEMP). Conventional episodic inpatient vital signs and serum proteins were measured pre- and post-LPS challenge. The VitalPatch provided vital signs that were comparable to conventional methods for assessing HR, RR, and TEMP. A pronounced increase was observed in HR, RR, and TEMP as well as a decrease in HRV 1-4 h post-LPS challenge. The ordering of participants by magnitude of inflammatory cytokine response 2 h post-LPS challenge was consistent with ordering of participants by change from baseline in vital signs when measured by VitalPatch (r = 0.73) but not when measured by conventional methods (r = -0.04). A machine learning model trained on VitalPatch data predicted change from baseline in inflammatory protein response (R2  = 0.67). DHTs, such as VitalPatch, can improve upon existing episodic measurements of vital signs by enabling continuous sensing and have the potential for future use as tools to remotely monitor inflammation.

Multi-Modal Portable Respiratory Rate Monitoring Device for Childhood Pneumonia Detection

Accurate assessment of Respiratory Rate (RR) is the most important mechanism in detecting pneumonia in low-resource settings. Pneumonia is a disease with one of the highest mortality rates among young children under five. However, the diagnosis of pneumonia for infants remains challenging, especially in low- and middle-income countries (LMIC). In such situations, RR is most often measured manually with visual inspection. Accurate RR measurement requires the child to remain calm without any stress for a few minutes. The difficulty in achieving this with a sick child in a clinical environment can result in errors and misdiagnosis, even more so when the child is crying and non-cooperating around unfamiliar adults. Therefore, we propose an automated novel RR monitoring device built with textile glove and dry electrodes which can make use of the relaxed posture when the child is resting on the carer's lap. This portable system is non-invasive and made with affordable instrumentation integrated on customized textile glove. The glove has multi-modal automated RR detection mechanism that simultaneously uses bio-impedance and accelerometer data. This novel textile glove with dry electrodes can easily be worn by a parent/carer and is washable. The real-time display on a mobile app shows the raw data and the RR value, allowing a healthcare professional to monitor the results from afar. The prototype device has been tested on 10 volunteers with age variation of 3 years to 33 years, including male and female. The maximum variation of measured RR with the proposed system is ±2 compared to the traditional manual counting method. It does not create any discomfort for either the child or the carer and can be used up to 60 to 70 sessions/day before recharging.

The quality of vital signs measurements and value preferences in electronic medical records varies by hospital, specialty, and patient demographics

We aimed to assess the frequency of value preferences in recording of vital signs in electronic healthcare records (EHRs) and associated patient and hospital factors. We used EHR data from Oxford University Hospitals, UK, between 01-January-2016 and 30-June-2019 and a maximum likelihood estimator to determine the prevalence of value preferences in measurements of systolic and diastolic blood pressure (SBP/DBP), heart rate (HR) (readings ending in zero), respiratory rate (multiples of 2 or 4), and temperature (readings of 36.0 °C). We used multivariable logistic regression to investigate associations between value preferences and patient age, sex, ethnicity, deprivation, comorbidities, calendar time, hour of day, days into admission, hospital, day of week and speciality. In 4,375,654 records from 135,173 patients, there was an excess of temperature readings of 36.0 °C above that expected from the underlying distribution that affected 11.3% (95% CI 10.6-12.1%) of measurements, i.e. these observations were likely inappropriately recorded as 36.0 °C instead of the true value. SBP, DBP and HR were rounded to the nearest 10 in 2.2% (1.4-2.8%) and 2.0% (1.3-5.1%) and 2.4% (1.7-3.1%) of measurements. RR was also more commonly recorded as multiples of 2. BP digit preference and an excess of temperature recordings of 36.0 °C were more common in older and male patients, as length of stay increased, following a previous normal set of vital signs and typically more common in medical vs. surgical specialities. Differences were seen between hospitals, however, digit preference reduced over calendar time. Vital signs may not always be accurately documented, and this may vary by patient groups and hospital settings. Allowances and adjustments may be needed in delivering care to patients and in observational analyses and predictive tools using these factors as outcomes or exposures.

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.

Physical assessment skills practised by critical care nurses: A cross-sectional study

BACKGROUND

Physical assessment skills are essential to clinical decision-making in nursing as they help nurses to identify and respond to patients' deterioration. Nurses develop confidence and can detect any out-of-range parameters in diagnosing and treating patients. Prior studies surveyed 120 skills but did not explicitly assess critical care.

AIM

To determine the range of physical assessment skills practised by critical care nurses and their adoption factors.

STUDY DESIGN

This study uses a cross-sectional survey design. A self-administered questionnaire evaluating 40 physical assessment skills was conducted with 133 staff nurses (response rate: 96.4%) in three critical care units at a Malaysian government hospital between November 2019 and January 2020.

RESULTS

Most nurses applied 32 (80%) skills during every working shift, involving the vital signs and all body systems except the gastrointestinal system. Five skills (12.5%) were occasionally applied, while three skills (7.5%) were rarely applied or not part of most nurses' clinical practice. About 20% of the nurses did not routinely check the respiration rate. Medical and surgical intensive care unit nurses (U = 1129, p < .001) and nurses who had served over 10 years (H (2) = 9.60, p = .008) used more physical assessment skills than others. Nurses felt that continuing nursing education, participating in relevant courses and implementing standardised forms to record physical assessments would improve the application of such skills.

CONCLUSION

Clinical practice in these critical care settings challenges the assertion that physical assessment is vital to critical care nursing roles. Concerns highlighted by the nurses should be addressed by nursing management so that the application of physical assessment skills can be enhanced, especially in critical care settings.

RELEVANCE TO CLINICAL PRACTICE

The findings indicated that physical assessment skills in critical care need to be improved. Education and training should emphasise these skills.

How registered nurses are measuring respiratory rates in adult acute care health settings: An integrative review

AIMS AND OBJECTIVES

This integrative review aimed to draw conclusions from evidence on how registered nurses are measuring respiratory rates for acute care patients.

BACKGROUND

Despite the growing research supporting respiratory rate as an early indicator for clinical deterioration, respiratory rate has consistently been the least frequently measured and accurately documented vital sign.

DESIGN

An integrative review.

METHODS

A systematic literature search was conducted in June 2022 in four databases: CINAHL, PubMed, Medline and Scopus. Quality appraisal was undertaken using the Joanna Briggs Institute's Checklist. PRISMA guidelines were followed to ensure explicit reporting and reported in the PRISMA checklist.

RESULTS

Overall, 9915 records were identified, and 19 met the inclusion criteria. Of these 19 articles, seven themes emerged: estimation and digit preference, lack of understanding and knowledge, not valuing the clinical significance of respiratory rate, oxygen saturation substitute, interobserver agreement, subjective concern and count duration. A high prevalence of bias, estimation and incorrect technique was evident. A total of 15 articles reported specifically on how registered nurses are measuring respiratory rates on general medical and surgical wards.

CONCLUSIONS

Despite its importance, this integrative review has determined that respiratory rates are not being assessed correctly by nursing staff in the acute care environment. Evidence of using estimation, value bias or quick count and multiply techniques are emerging themes which urgently require further research. No patient or public contribution.

Characteristics of Rapid Response Calls in the United States: An Analysis of the First 402,023 Adult Cases From the Get With the Guidelines Resuscitation-Medical Emergency Team Registry

OBJECTIVES

To characterize the rapid response team activations, and the patients receiving them, in the American Heart Association-sponsored Get With The Guidelines Resuscitation-Medical Emergency Team cohort between 2005 and 2015.

DESIGN

Retrospective multicenter cohort study.

SETTING

Three hundred sixty U.S. hospitals.

PATIENTS

Consecutive adult patients experiencing rapid response team activation.

INTERVENTIONS

Rapid response team activation.

MEASUREMENTS AND MAIN RESULTS

The cohort included 402,023 rapid response team activations from 347,401 unique healthcare encounters. Respiratory triggers (38.0%) and cardiac triggers (37.4%) were most common. The most frequent interventions-pulse oximetry (66.5%), other monitoring (59.6%), and supplemental oxygen (62.0%)-were noninvasive. Fluids were the most common medication ordered (19.3%), but new antibiotic orders were rare (1.2%). More than 10% of rapid response teams resulted in code status changes. Hospital mortality was over 14% and increased with subsequent rapid response activations.

CONCLUSIONS

Although patients requiring rapid response team activation have high inpatient mortality, most rapid response team activations involve relatively few interventions, which may limit these teams' ability to improve patient outcomes.

Towards development of alert thresholds for clinical deterioration using continuous predictive analytics monitoring

Patients who deteriorate while on the acute care ward and are emergently transferred to the Intensive Care Unit (ICU) experience high rates of mortality. To date, risk scores for clinical deterioration applied to the acute care wards rely on static or intermittent inputs of vital sign and assessment parameters. We propose the use of continuous predictive analytics monitoring, or data that relies on real-time physiologic monitoring data captured from ECG, documented vital signs, laboratory results, and other clinical assessments to predict clinical deterioration. A necessary step in translation to practice is understanding how an alert threshold would perform if applied to a continuous predictive analytic that was trained to detect clinical deterioration. The purpose of this study was to evaluate the positive predictive value of 'risk spikes', or large abrupt increases in the output of a statistical model of risk predicting clinical deterioration. We studied 8111 consecutive patient admissions to a cardiovascular medicine and surgery ward with continuous ECG data. We first trained a multivariable logistic regression model for emergent ICU transfer in a test set and tested the characteristics of the model in a validation set of 4059 patient admissions. Then, in a nested analysis we identified large, abrupt spikes in risk (increase by three units over the prior 6 h; a unit is the fold-increase in risk of ICU transfer in the next 24 h) and reviewed hospital records of 91 patients for clinical events such as emergent ICU transfer. We compared results to 59 control patients at times when they were matched for baseline risk including the National Warning Score (NEWS). There was a 3.4-fold higher event rate for patients with risk spikes (positive predictive value 24% compared to 7%, p = 0.006). If we were to use risk spikes as an alert, they would fire about once per day on a 73-bed acute care ward. Risk spikes that were primarily driven by respiratory changes (ECG-derived respiration (EDR) or charted respiratory rate) had highest PPV (30-35%) while risk spikes driven by heart rate had the lowest (7%). Alert thresholds derived from continuous predictive analytics monitoring are able to be operationalized as a degree of change from the person's own baseline rather than arbitrary threshold cut-points, which can likely better account for the individual's own inherent acuity levels. Point of care clinicians in the acute care ward settings need tailored alert strategies that promote a balance in recognition of clinical deterioration and assessment of the utility of the alert approach.

A pilot study of respiratory rate derived from a wearable biosensor compared with capnography in emergency department patients

Purpose: Respiratory rate is assessed less frequently than other vital signs, and documented respiratory rates are often erroneous. This pilot study compared respiratory rates derived from a wearable biosensor to those derived from capnography. Methods: Emergency department patients with respiratory complaints were enrolled and had capnography via nasal cannula and a wireless, wearable biosensor from Philips applied for approximately one hour. Respiratory rates were obtained from both of these methods. We determined the difference between median respiratory rates obtained from the biosensor and capnography and the proportion of biosensor-derived respiratory rates that were within three breaths/minute of the capnography-derived respiratory rates for each patient. A Spearman correlation coefficient was calculated to assess the strength of the correlation between mean respiratory rates derived from both methods. Plots of minute-by-minute respiratory rates, per patient, for each monitoring method were shown to two physicians. The physicians identified time periods in which the respiratory rates appeared invalid. The proportion of time with invalid respiratory rates for each patient, for each method, was calculated and averaged. Results: We analyzed data for 17 patients. Median biosensor-derived respiratory rate was 20 breaths/minute (range: 7-40 breaths/minute) and median capnography-derived respiratory rate was 25 breaths/minute (range: 0-58 breaths/minute). Overall, 72.8% of biosensor-derived respiratory rates were within three breaths per minute of the capnography-derived respiratory rates. Overall mean difference was 3.5 breaths/minute (±5.2 breaths/minute). Respiratory rates appeared invalid 0.7% of the time for the biosensor and 5.0% of the time for capnography. Conclusion: Our pilot study suggests that the Philips wearable biosensor can continuously obtain respiratory rates that are comparable to capnography-derived respiratory rates among emergency department patients with respiratory complaints.

Factors Influencing Use of Continuous Physiologic Monitors for Hospitalized Pediatric Patients

OBJECTIVES

Continuous physiologic monitors (CPMs) generate frequent alarms and are used for up to 50% of children who are hospitalized outside of the ICU. Our objective was to assess factors that influence the decision to use CPMs.

METHODS

In this qualitative study, we used group-level assessment, a structured method designed to engage diverse stakeholder groups. We recruited clinicians and other staff who work on a 48-bed hospital medicine unit at a freestanding children's hospital. We developed a list of open-ended prompts used to address CPM use on inpatient units. Demographic data were collected from each participant. We conducted 6 sessions to permit maximum participation among all groups, and themes from all sessions were merged and distilled.

RESULTS

Participants (n = 78) included nurses (37%), attending physicians (17%), pediatric residents (32%), and unit staff (eg, unit coordinator; 14%). Participants identified several themes. First, there are patient factors (eg, complexity and instability) for which CPMs are useful. Second, participants perceived that alarms have negative effects on families (eg, anxiety and sleep deprivation). Third, CPMs are often used as surrogates for clinical assessments. Fourth, CPM alarms cause anxiety and fatigue for frontline staff. Fifth, the decision to use CPMs should be, but is not often, a team decision. Sixth, and finally, there are issues related to the monitor system's setup that reduces its utility.

CONCLUSIONS

Hospital medicine staff identified patient-, staff-, and system-level factors relevant to CPM use for children who were hospitalized. These data will inform the development of system-level interventions to improve CPM use and address high alarm rates.

Rapid response systems

INTRODUCTION

Rapid response systems are commonly employed by hospitals to identify and respond to deteriorating patients outside of the intensive care unit. Controversy exists about the benefits of rapid response systems.

AIMS

We aimed to review the current state of the rapid response literature, including evolving aspects of afferent (risk detection) and efferent (intervention) arms, outcome measurement, process improvement, and implementation.

DATA SOURCES

Articles written in English and published in PubMed.

RESULTS

Rapid response systems are heterogeneous, with important differences among afferent and efferent arms. Clinically meaningful outcomes may include unexpected mortality, in-hospital cardiac arrest, length of stay, cost, and processes of care at end of life. Both positive and negative interventional studies have been published, although the two largest randomized trials involving rapid response systems - the Medical Early Response and Intervention Trial (MERIT) and the Effect of a Pediatric Early Warning System on All-Cause Mortality in Hospitalized Pediatric Patients (EPOCH) trial - did not find a mortality benefit with these systems, albeit with important limitations. Advances in monitoring technologies, risk assessment strategies, and behavioral ergonomics may offer opportunities for improvement.

CONCLUSIONS

Rapid responses may improve some meaningful outcomes, although these findings remain controversial. These systems may also improve care for patients at the end of life. Rapid response systems are expected to continue evolving with novel developments in monitoring technologies, risk prediction informatics, and work in human factors.