Recognition of patients who require emergency assistance: a descriptive study

Multisite Pragmatic Cluster-Randomized Controlled Trial of the CONCERN Early Warning System

Importance

Late predictions of hospitalized patient deterioration, resulting from early warning systems (EWS) with limited data sources and/or a care team's lack of shared situational awareness, contribute to delays in clinical interventions. The COmmunicating Narrative Concerns Entered by RNs (CONCERN) Early Warning System (EWS) uses real-time nursing surveillance documentation patterns in its machine learning algorithm to identify patients' deterioration risk up to 42 hours earlier than other EWSs.

Objective

To test our a priori hypothesis that patients with care teams informed by the CONCERN EWS intervention have a lower mortality rate and shorter length of stay (LOS) than the patients with teams not informed by CONCERN EWS.

Design

One-year multisite, pragmatic controlled clinical trial with cluster-randomization of acute and intensive care units to intervention or usual-care groups.

Setting

Two large U.S. health systems.

Participants

Adult patients admitted to acute and intensive care units, excluding those on hospice/palliative/comfort care, or with Do Not Resuscitate/Do Not Intubate orders.

Intervention

The CONCERN EWS intervention calculates patient deterioration risk based on nurses' concern levels measured by surveillance documentation patterns, and it displays the categorical risk score (low, increased, high) in the electronic health record (EHR) for care team members.

Main Outcomes and Measures

Primary outcomes: in-hospital mortality, LOS; survival analysis was used. Secondary outcomes: cardiopulmonary arrest, sepsis, unanticipated ICU transfers, 30-day hospital readmission.

Results

A total of 60 893 hospital encounters (33 024 intervention and 27 869 usual-care) were included. Both groups had similar patient age, race, ethnicity, and illness severity distributions. Patients in the intervention group had a 35.6% decreased risk of death (adjusted hazard ratio [HR], 0.644; 95% confidence interval [CI], 0.532-0.778; P<.0001), 11.2% decreased LOS (adjusted incidence rate ratio, 0.914; 95% CI, 0.902-0.926; P<.0001), 7.5% decreased risk of sepsis (adjusted HR, 0.925; 95% CI, 0.861-0.993; P=.0317), and 24.9% increased risk of unanticipated ICU transfer (adjusted HR, 1.249; 95% CI, 1.093-1.426; P=.0011) compared with patients in the usual-care group.

Conclusions and Relevance

A hospital-wide EWS based on nursing surveillance patterns decreased in-hospital mortality, sepsis, and LOS when integrated into the care team's EHR workflow.

Trial Registration

ClinicalTrials.gov Identifier: NCT03911687.

Surgical nurses' responses to worry: A qualitative focus-group study in the Netherlands

BACKGROUND

Hospital nurses observe and respond to deterioration using the 'National Early Warning Score 2'. Surgical nurses are highly engaged in the early recognition of and response to deterioration. Responses to deterioration are based on deviating vital signs, while nurses also act on subjective indicators like worry. Scientific literature and (inter)national guidelines do not mention any information about acting upon worry.

OBJECTIVE

To gain an in-depth understanding of the actions nurses on surgical wards undertake to generate an appropriate response to nurses' worry when the 'National Early Warning Score 2' does not indicate deterioration.

METHOD

A qualitative focus-group study with surgical nurses working at a hospital in the Netherlands. Data was collected by focus-group interviews supported by vignettes and analysed thematically.

FINDINGS

Four focus-group interviews with a total of 20 participants were conducted between February and April 2020. Two sequential themes emerged: 'Searching for explanation and confirmation' and 'Responding by actively applying nursing interventions'. Nurses gathered additional information about the patient and searched for a reference point to place this information in perspective. Nurses also approached others for co-assessment and verification. However, nurses faced barriers in calling for medical assistance. They felt physicians did not take them seriously. After gathering additional information, nurses responded by applying nursing interventions to comfort the patient.

CONCLUSION

Nurses mainly try to formalise an in-depth understanding of their feeling of worry to convince a physician to accurately treat the patient. Spending much time on a search to this understanding leads to delays in escalating care.

Can Routinely Collected, Patient-Reported Wellness Predict National Early Warning Scores? A Multilevel Modeling Approach

OBJECTIVE

Measures exist to improve early recognition of and response to deteriorating patients in hospital. However, management of critical illness remains a problem globally; in the United Kingdom, 7% of the deaths reported to National Reporting and Learning System from acute hospitals in 2015 related to failure to recognize or respond to deterioration. The current study explored whether routinely recording patient-reported wellness is associated with objective measures of physiology to support early recognition of hospitalized deteriorating patients.

METHODS

A prospective observation study design was used. Nurses on four inpatient wards were invited to participate and record patient-reported wellness during every routine observation (where possible) using an electronic observation system. Linear multilevel modeling was used to examine the relationship between patient-reported wellness, and national early warning scores (NEWS), and whether patient-reported wellness predicted subsequent NEWS.

RESULTS

A significant positive relationship was found between patient-reported wellness and NEWS recorded at the next observation while controlling for baseline NEWS (β = 0.180, P = 0.033). A significant positive relationship between patient-reported wellness and NEWS (β = 0.229, P = 0.005) recorded during an observation 24 hours later while controlling for baseline NEWS was also found. Patient-reported wellness added to the predictive model for subsequent NEWS.

CONCLUSIONS

The preliminary findings suggest that patient-reported wellness may predict subsequent improvement or decline in their condition as indicated by objective measurements of physiology (NEWS). Routinely recording patient-reported wellness during observation shows promise for supporting the early recognition of clinical deterioration in practice, although confirmation in larger-scale studies is required.

Sentiment Analysis Based on the Nursing Notes on In-Hospital 28-Day Mortality of Sepsis Patients Utilizing the MIMIC-III Database

In medical visualization, nursing notes contain rich information about a patient's pathological condition. However, they are not widely used in the prediction of clinical outcomes. With advances in the processing of natural language, information begins to be extracted from large-scale unstructured data like nursing notes. This study extracted sentiment information in nursing notes and explored its association with in-hospital 28-day mortality in sepsis patients. The data of patients and nursing notes were extracted from the MIMIC-III database. A COX proportional hazard model was used to analyze the relationship between sentiment scores in nursing notes and in-hospital 28-day mortality. Based on the COX model, the individual prognostic index (PI) was calculated, and then, survival was analyzed. Among eligible 1851 sepsis patients, 580 cases suffered from in-hospital 28-day mortality (dead group), while 1271 survived (survived group). Significant differences were shown between two groups in sentiment polarity, Simplified Acute Physiology Score II (SAPS-II) score, age, and intensive care unit (ICU) type (all P < 0.001). Multivariate COX analysis exhibited that sentiment polarity (HR: 0.499, 95% CI: 0.409-0.610, P < 0.001) and sentiment subjectivity (HR: 0.710, 95% CI: 0.559-0.902, P = 0.005) were inversely associated with in-hospital 28-day mortality, while the SAPS-II score (HR: 1.034, 95% CI: 1.029-1.040, P < 0.001) was positively correlated with in-hospital 28-day mortality. The median death time of patients with PI ≥ 0.561 was significantly earlier than that of patients with PI < 0.561 (13.5 vs. 49.8 days, P < 0.001). In conclusion, sentiments in nursing notes are associated with the in-hospital 28-day mortality and survival of sepsis patients.

Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework

OBJECTIVE

There are signals of clinicians' expert and knowledge-driven behaviors within clinical information systems (CIS) that can be exploited to support clinical prediction. Describe development of the Healthcare Process Modeling Framework to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals).

MATERIALS AND METHODS

We employed an iterative framework development approach that combined data-driven modeling and simulation testing to define and refine a process for phenotyping clinician behaviors. Our framework was developed and evaluated based on the Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) predictive model to detect and leverage signals of clinician expertise for prediction of patient trajectories.

RESULTS

Seven themes-identified during development and simulation testing of the CONCERN model-informed framework development. The HPM-ExpertSignals conceptual framework includes a 3-step modeling technique: (1) identify patterns of clinical behaviors from user interaction with CIS; (2) interpret patterns as proxies of an individual's decisions, knowledge, and expertise; and (3) use patterns in predictive models for associations with outcomes. The CONCERN model differentiated at risk patients earlier than other early warning scores, lending confidence to the HPM-ExpertSignals framework.

DISCUSSION

The HPM-ExpertSignals framework moves beyond transactional data analytics to model clinical knowledge, decision making, and CIS interactions, which can support predictive modeling with a focus on the rapid and frequent patient surveillance cycle.

CONCLUSIONS

We propose this framework as an approach to embed clinicians' knowledge-driven behaviors in predictions and inferences to facilitate capture of healthcare processes that are activated independently, and sometimes well before, physiological changes are apparent.

Consensus on predictors of clinical deterioration in emergency departments: A Delphi process study

AIM

The study aim was to determine relevance and applicability of generic predictors of clinical deterioration in emergency departments based on consensus among clinicians.

METHODS

Thirty-three predictors of clinical deterioration identified from literature were assessed in a modified two-stage Delphi-process. Sixty-eight clinicians (physicians and nurses) participated in the first round and 48 in the second round; all treating hospitalized patients in Danish emergency departments, some with pre-hospital experience. The panel rated the predictors for relevance (relevant marker of clinical deterioration) and applicability (change in clinical presentation over time, generic in nature and possible to detect bedside). They rated their level of agreement on a 9-point Likert scale and were also invited to propose additional generic predictors between the rounds. New predictors suggested by more than one clinician were included in the second round along with non-consensus predictors from the first round. Final decisions of non-consensus predictors after second round were made by a research group and an impartial physician.

RESULTS

The Delphi-process resulted in 19 clinically relevant and applicable predictors based on vital signs and parameters (respiratory rate, saturation, dyspnoea, systolic blood pressure, pulse rate, abnormal electrocardiogram, altered mental state and temperature), biochemical tests (serum c-reactive protein, serum bicarbonate, serum lactate, serum pH, serum potassium, glucose, leucocyte counts and serum haemoglobin), objective clinical observations (skin conditions) and subjective clinical observations (pain reported as new or escalating, and relatives' concerns).

CONCLUSION

The Delphi-process led to consensus of 19 potential predictors of clinical deterioration widely accepted as relevant and applicable in emergency departments.

Identifying nurses' concern concepts about patient deterioration using a standard nursing terminology

OBJECTIVES

Nurse concerns documented in nursing notes are important predictors of patient risk of deterioration. Using a standard nursing terminology and inputs from subject-matter experts (SMEs), we aimed to identify and define nurse concern concepts and terms about patient deterioration, which can be used to support subsequent automated tasks, such as natural language processing and risk predication.

METHODS

Group consensus meetings with nurse SMEs were held to identify nursing concerns by grading Clinical Care Classification (CCC) system concepts based on clinical knowledge. Next, a fundamental lexicon was built placing selected CCC concepts into a framework of entities and seed terms to extend CCC granularity.

RESULTS

A total of 29 CCC concepts were selected as reflecting nurse concerns. From these, 111 entities and 586 seed terms were generated into a fundamental lexicon. Nursing concern concepts differed across settings (intensive care units versus non-intensive care units) and unit types (medicine versus surgery units).

CONCLUSIONS

The CCC concepts were useful for representing nursing concern as they encompass a nursing-centric conceptual framework and are practical in lexicon construction. It enabled the codification of nursing concerns for deteriorating patients at a standardized conceptual level. The boundary of selected CCC concepts and lexicons were determined by the SMEs. The fundamental lexicon offers more granular terms that can be identified and processed in an automated fashion.

Nursing Surveillance for Deterioration in Pediatric Patients: An Integrative Review

PROBLEM

Adverse events occur in up to 19% of pediatric hospitalized patients, often associated with delays in recognition or treatment. While early detection is recognized as a primary determinant of recovery from deterioration, most research has focused on profiling patient risk and testing interventions, and less on factors that impact surveillance efficacy. This integrative review explored actions and factors that influence the quality of pediatric nursing surveillance.

ELIGIBILITY CRITERIA

Original research on nursing surveillance, escalation of care, or cardiopulmonary deterioration in hospitalized pediatric patients in non-critical environments, published in English in peer reviewed journals.

SAMPLE

Twenty-four studies from a literature search within the databases of CINAHL, PubMed, and Web of Science were evaluated and synthesized using a socio-technical systems theory framework. Study quality was assessed using The Mixed Methods Appraisal Tool.

RESULTS

Assessment, documentation, decision-making, intervening and communicating were identified as activities associated with surveillance of deterioration. Factors that influenced nurses' detection of deterioration were patient acuity, nurse education, experience, expertise and confidence, staffing, standardized assessment and communication tools, availability of emergency services, team composition and opportunities for multidisciplinary care planning.

CONCLUSIONS

Research provides insight into some aspects of nursing surveillance but does not adequately explore factors that affect clinical data interpretation and synthesis, and role integration between nurse and parents, and nurse and other clinicians on surveillance of clinical stability.

IMPLICATIONS

Research is needed to enhance understanding of the contextual factors that impact nursing surveillance to inform intervention design to support nurses' timely recognition and mitigation of clinical deterioration.

Optimising paediatric afferent component early warning systems: a hermeneutic systematic literature review and model development

OBJECTIVE

To identify the core components of successful early warning systems for detecting and initiating action in response to clinical deterioration in paediatric inpatients.

METHODS

A hermeneutic systematic literature review informed by translational mobilisation theory and normalisation process theory was used to synthesise 82 studies of paediatric and adult early warning systems and interventions to support the detection of clinical deterioration and escalation of care. This method, which is designed to develop understanding, enabled the development of a propositional model of an optimal afferent component early warning system.

RESULTS

Detecting deterioration and initiating action in response to clinical deterioration in paediatric inpatients involves several challenges, and the potential failure points in early warning systems are well documented. Track and trigger tools (TTT) are commonly used and have value in supporting key mechanisms of action but depend on certain preconditions for successful integration into practice. Several supplementary interventions have been proposed to improve the effectiveness of early warning systems but there is limited evidence to recommend their wider use, due to the weight and quality of the evidence; the extent to which systems are conditioned by the local clinical context; and the need to attend to system component relationships, which do not work in isolation. While it was not possible to make empirical recommendations for practice, the review methodology generated theoretical inferences about the core components of an optimal system for early warning systems. These are presented as a propositional model conceptualised as three subsystems: detection, planning and action.

CONCLUSIONS

There is a growing consensus of the need to think beyond TTTs in improving action to detect and respond to clinical deterioration. Clinical teams wishing to improve early warning systems can use the model to consider systematically the constellation of factors necessary to support detection, planning and action and consider how these arrangements can be implemented in their local context.

PROSPERO REGISTRATION NUMBER

CRD42015015326.

Sentiment in nursing notes as an indicator of out-of-hospital mortality in intensive care patients

BACKGROUND

Nursing notes have not been widely used in prediction models for clinical outcomes, despite containing rich information. Advances in natural language processing have made it possible to extract information from large scale unstructured data like nursing notes. This study extracted the sentiment-impressions and attitudes-of nurses, and examined how sentiment relates to 30-day mortality and survival.

METHODS

This study applied a sentiment analysis algorithm to nursing notes extracted from MIMIC-III, a public intensive care unit (ICU) database. A multiple logistic regression model was fitted to the data to correlate measured sentiment with 30-day mortality while controlling for gender, type of ICU, and SAPS-II score. The association between measured sentiment and 30-day mortality was further examined in assessing the predictive performance of sentiment score as a feature in a classifier, and in a survival analysis for different levels of measured sentiment.

RESULTS

Nursing notes from 27,477 ICU patients, with an overall 30-day mortality of 11.02%, were extracted. In the presence of known predictors of 30-day mortality, mean sentiment polarity was a highly significant predictor in a multiple logistic regression model (Adjusted OR = 0.4626, p < 0.001, 95% CI: [0.4244, 0.5041]) and led to improved predictive accuracy (AUROC = 0.8189 versus 0.8092, 95% BCI of difference: [0.0070, 0.0126]). The Kaplan Meier survival curves showed that mean sentiment polarity quartiles are positively correlated with patient survival (log-rank test: p < 0.001).

CONCLUSIONS

This study showed that quantitative measures of unstructured clinical notes, such as sentiment of clinicians, correlate with 30-day mortality and survival, thus can also serve as a predictor of patient outcomes in the ICU. Therefore, further research is warranted to study and make use of the wealth of data that clinical notes have to offer.

Vital signs monitoring on general wards: clinical staff perceptions of current practices and the planned introduction of continuous monitoring technology

OBJECTIVE

Early detection of patient deterioration and prevention of adverse events are key challenges to patient safety. This study investigated clinical staff perceptions of current monitoring practices and the planned introduction of continuous monitoring devices on general wards.

DESIGN

Multi-method study comprising structured surveys, in-depth interviews and device trial with log book feedback.

SETTING

Two general wards in a large urban teaching hospital in Sydney, Australia.

PARTICIPANTS

Respiratory and neurosurgery nursing staff and two doctors.

RESULTS

Nurses were confident about their abilities to identify patients at risk of deterioration, using a combination of vital signs and visual assessment. There were concerns about the accuracy of current vital signs monitoring equipment and frequency of intermittent observation. Both the nurses and the doctors were enthusiastic about the prospect of continuous monitoring and perceived it would allow earlier identification of patient deterioration; provide reassurance to patients; and support interdisciplinary communication. There were also reservations about continuous monitoring, including potential decrease in bedside nurse-patient interactions; increase in inappropriate escalations of patient care; and discomfort to patients.

CONCLUSIONS

While continuous monitoring devices were seen as a potentially positive tool to support the identification of patient deterioration, drawbacks, such as the potential for reduced patient contact, revealed key areas that will require close surveillance following the implementation of devices. Training and improved interdisciplinary communication were identified as key requisites for successful implementation.

Evaluation of the effect of the modified early warning system on the nurse-led activation of the rapid response system

The modified early warning system (MEWS) is a scoring rubric used to detect the earliest signs of a change in a patient's condition. This mixed-methods study used pre- and postintervention data to describe the impact of the MEWS on the frequency of rapid response system activations and cardiopulmonary arrests among patients admitted to medical-surgical units. Focus groups of nursing staff provided insight into the factors that influence how nurses use the MEWS at the bedside as a framework to identify, intervene, and manage patients in need of an advanced level of care.

Classificação de risco em pediatria: construção e validação de um guia para enfermeiros

RESUMOObjetivo:construir e validar um guia abreviado do protocolo de Acolhimento com Classificação de Risco em pediatria.Método:estudo metodológico, desenvolvido em duas etapas: elaboração do guia e validação aparente e de conteúdo. A elaboração baseou-se na estratificação do conteúdo do protocolo em cinco indicadores de risco, conforme a complexidade, sendo submetido à validação por nove juízes divididos em dois grupos: docentes-pesquisadores e enfermeiros.Resultados:na validação aparente, os juízes consideraram os 25 itens do guia claros e compreensíveis com concordância acima de 70%. Na validação de conteúdo, 17 (68%) itens foram considerados relevantes por 88,9% dos juízes. Os oito itens considerados irrelevantes foram alterados conforme sugestões dos juízes, alcançando-se o Índice de Validade de Conteúdo global de 0,98.Conclusão:o estudo resultou num guia de classificação de risco pediátrico válido para avaliar a criança nos serviços de emergência.

Nurses' worry or concern and early recognition of deteriorating patients on general wards in acute care hospitals: a systematic review

Introduction

Nurses often recognize deterioration in patients through intuition rather than through routine measurement of vital signs. Adding the ‘worry or concern’ sign to the Rapid Response System provides opportunities for nurses to act upon their intuitive feelings. Identifying what triggers nurses to be worried or concerned might help to put intuition into words, and potentially empower nurses to act upon their intuitive feelings and obtain medical assistance in an early stage of deterioration. The aim of this systematic review is to identify the signs and symptoms that trigger nurses’ worry or concern about a patient’s condition.

Methods

We searched the databases PubMed, CINAHL, Psychinfo and Cochrane Library (Clinical Trials) using synonyms related to the three concepts: ‘nurses’, ‘worry/concern’ and ‘deterioration’. We included studies concerning adult patients on general wards in acute care hospitals. The search was performed from the start of the databases until 14 February 2014.

Results

The search resulted in 4,006 records, and 18 studies (five quantitative, nine qualitative and four mixed-methods designs) were included in the review. A total of 37 signs and symptoms reflecting the nature of the criterion worry or concern emerged from the data and were summarized in 10 general indicators. The results showed that worry or concern can be present with or without change in vital signs.

Conclusions

The signs and symptoms we found in the literature reflect the nature of nurses’ worry or concern, and nurses may incorporate these signs in their assessment of the patient and their decision to call for assistance. The fact that it is present before changes in vital signs suggests potential for improving care in an early stage of deterioration.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-015-0950-5) contains supplementary material, which is available to authorized users.

Automated detection of physiologic deterioration in hospitalized patients

OBJECTIVE

Develop and evaluate an automated case detection and response triggering system to monitor patients every 5 min and identify early signs of physiologic deterioration.

MATERIALS AND METHODS

A 2-year prospective, observational study at a large level 1 trauma center. All patients admitted to a 33-bed medical and oncology floor (A) and a 33-bed non-intensive care unit (ICU) surgical trauma floor (B) were monitored. During the intervention year, pager alerts of early physiologic deterioration were automatically sent to charge nurses along with access to a graphical point-of-care web page to facilitate patient evaluation.

RESULTS

Nurses reported the positive predictive value of alerts was 91-100% depending on erroneous data presence. Unit A patients were significantly older and had significantly more comorbidities than unit B patients. During the intervention year, unit A patients had a significant increase in length of stay, more transfers to ICU (p = 0.23), and significantly more medical emergency team (MET) calls (p = 0.0008), and significantly fewer died (p = 0.044) compared to the pre-intervention year. No significant differences were found on unit B.

CONCLUSIONS

We monitored patients every 5 min and provided automated pages of early physiologic deterioration. This before-after study found a significant increase in MET calls and a significant decrease in mortality only in the unit with older patients with multiple comorbidities, and thus further study is warranted to detect potential confounding. Moreover, nurses reported the graphical alerts provided information needed to quickly evaluate patients, and they felt more confident about their assessment and more comfortable requesting help.

Defining patient deterioration through acute care and intensive care nurses' perspectives

AIM

To explore the variations between acute care and intensive care nurses' understanding of patient deterioration according to their use of this term in published literature.

BACKGROUND

Evidence suggests that nurses on wards do not always recognize and act upon patient deterioration appropriately. Even if resources exist to call for intensive care nurses' help, acute care nurses use them infrequently and the problem of unattended patient deterioration remains.

DESIGN

Dimensional analysis was used as a framework to analyze papers retrieved in a nursing-focused database.

METHOD

A thematic analysis of 34 papers (2002-2012) depicting acute care and intensive care unit nurses' perspectives on patient deterioration was conducted.

FINDINGS

No explicit definition of patient deterioration was retrieved in the papers. There are variations between acute care and intensive care unit nurses' accounts of this concept, particularly regarding the validity of patient deterioration indicators. Contextual factors, processes and consequences are also explored.

CONCLUSIONS

From the perspectives of acute care and intensive care nurses, patient deterioration can be defined as an evolving, predictable and symptomatic process of worsening physiology towards critical illness. Contextual factors relating to acute care units (ACU) appear as barriers to optimal care of the deteriorating patient. This work can be considered as a first effort in modelling the concept of patient deterioration, which could be specific to ACU.

RELEVANCE TO CLINICAL PRACTICE

The findings suggest that it might be relevant to include subjective indicators of patient deterioration in track and trigger systems and educational efforts. Contextual factors impacting care for the deteriorating patient could be addressed in further attempts to deal with this issue.

Effectiveness of a patient education intervention in enhancing the self-efficacy of hospitalized patients to recognize and report acute deteriorating conditions

OBJECTIVE

To develop and pilot test the effectiveness of a patient education intervention in enhancing the self-efficacy of hospitalized patients to recognize and report symptoms of acute deteriorating conditions.

METHOD

Using cluster randomization, acute care general wards were randomized to the experimental and control groups. 34 patients in the experimental group received a 30-minute patient education intervention on Alert Worsening conditions And Report Early (AWARE) while 33 patients in the control group received the routine care only. Levels of self-efficacy to recognize and report symptoms were measured before and after the intervention.

RESULTS

The level of self-efficacy reported by the experimental group was significantly higher than the control group (p<0.0001).

CONCLUSION

The AWARE intervention was effective in enhancing the self-efficacy of hospitalized patients to recognize and report acute deteriorating conditions.

PRACTICAL IMPLICATIONS

Patient engagement through patient education could be included in the rapid response system which aims to reduce hospital mortality and cardiac arrest rates in the general wards.

Knowing 'something is not right' is beyond intuition: development of a clinical algorithm to enhance surveillance and assist nurses to organise and communicate clinical findings

AIMS AND OBJECTIVES

To develop a clinical algorithm to guide nurses' critical thinking through systematic surveillance, assessment, actions required and communication strategies. To achieve this, an international, multiphase project was initiated.

BACKGROUND

Patients receive hospital care postoperatively because they require the skilled surveillance of nurses. Effective assessment of postoperative patients is essential for early detection of clinical deterioration and optimal care management. Despite the significant amount of time devoted to surveillance activities, there is lack of evidence that nurses use a consistent, systematic approach in surveillance, management and communication, potentially leading to less optimal outcomes. Several explanations for the lack of consistency have been suggested in the literature.

DESIGN

Mixed methods approach.

METHODS

Retrospective chart review; semi-structured interviews conducted with expert nurses (n = 10); algorithm development.

RESULTS

Themes developed from the semi-structured interviews, including (1) complete, systematic assessment, (2) something is not right (3) validating with others, (4) influencing factors and (5) frustration with lack of response when communicating findings were used as the basis for development of the Surveillance Algorithm for Post-Surgical Patients.

CONCLUSION

The algorithm proved beneficial based on limited use in clinical settings. Further work is needed to fully test it in education and practice.

RELEVANCE TO CLINICAL PRACTICE

The Surveillance Algorithm for Post-Surgical Patients represents the approach of expert nurses, and serves to guide less expert nurses' observations, critical thinking, actions and communication. Based on this approach, the algorithm assists nurses to develop skills promoting early detection, intervention and communication in cases of patient deterioration.

Implementation of a pediatric rapid response team: experience of the Hospital for Sick Children in Toronto

Rapid Response Systems have been introduced in the last decade to increase patient safety and decrease the rate of cardiorespiratory arrest on the hospital wards and readmission to the intensive care units. In this article we share our experience at the Hospital for Sick Children in Toronto on implementation and evolution of a pediatric rapid response team; the process, barriers, and ongoing challenges.

Monitoring vital signs: development of a modified early warning scoring (MEWS) system for general wards in a developing country

Objective

The aim of the study was to develop and validate, by consensus, the construct and content of an observations chart for nurses incorporating a modified early warning scoring (MEWS) system for physiological parameters to be used for bedside monitoring on general wards in a public hospital in South Africa.

Methods

Delphi and modified face-to-face nominal group consensus methods were used to develop and validate a prototype observations chart that incorporated an existing UK MEWS. This informed the development of the Cape Town ward MEWS chart.

Participants

One specialist anaesthesiologist, one emergency medicine specialist, two critical care nurses and eight senior ward nurses with expertise in bedside monitoring (N = 12) were purposively sampled for consensus development of the MEWS. One general surgeon declined and one neurosurgeon replaced the emergency medicine specialist in the final round.

Results

Five consensus rounds achieved ≥70% agreement for cut points in five of seven physiological parameters respiratory and heart rates, systolic BP, temperature and urine output. For conscious level and oxygen saturation a relaxed rule of <70% agreement was applied. A reporting algorithm was established and incorporated in the MEWS chart representing decision rules determining the degree of urgency. Parameters and cut points differed from those in MEWS used in developed countries.

Conclusions

A MEWS for developing countries should record at least seven parameters. Experts from developing countries are best placed to stipulate cut points in physiological parameters. Further research is needed to explore the ability of the MEWS chart to identify physiological and clinical deterioration.

Relationship between nursing documentation and patients' mortality

BACKGROUND

Nurses alter their monitoring behavior as a patient's clinical condition deteriorates, often detecting and documenting subtle changes before physiological trends are apparent. It was hypothesized that a nurse's behavior of recording optional documentation (beyond what is required) reflects concern about a patient's status and that mining data from patients' electronic health records for the presence of these features could help predict patients' mortality.

METHODS

Data-mining methods were used to analyze electronic nursing documentation from a 15-month period at a large, urban academic medical center. Mortality rates and the frequency of vital sign measurements (beyond required) and optional nursing comment documentation were analyzed for a random set of patients and patients who experienced a cardiac arrest during their hospitalization. Patients were stratified by age-adjusted Charlson comorbidity index.

RESULTS

A total of 15,000 acute care patients and 145 cardiac arrest patients were studied. Patients who died had a mean of 0.9 to 1.5 more optional comments and 6.1 to 10 more vital signs documented within 48 hours than did patients who survived. A higher frequency of comment and vital sign documentation was also associated with a higher likelihood of cardiac arrest. Of patients who had a cardiac arrest, those with more documented comments were more likely to die.

CONCLUSIONS

For the first time, nursing documentation patterns have been linked to patients' mortality. Findings were consistent with the hypothesis that some features of nursing documentation within electronic health records can be used to predict mortality. With future work, these associations could be used in real time to establish a threshold of concern indicating a risk for deterioration in a patient's condition.

The role of patients and their relatives in 'speaking up' about their own safety - a qualitative study of acute illness

BACKGROUND

Poor recognition of and response to acute illness in hospitalized patients continues to cause significant harm despite the implementation of safety strategies such as early warning scores. Patients and their relatives may be able to contribute to their own safety by speaking up about changes in condition, but little is known about the factors that influence this. This study examined the experiences and views of patients and their relatives to determine the potential for involvement in promoting their own safety.

METHODS

This data set is drawn from a wider ethnographic study of the management of the acutely ill patient in hospital. Thirteen patients and seven relatives from two medical settings in two UK NHS Trusts were interviewed. Thematic analysis identified factors likely to influence patients' and their relatives' ability to contribute to the management of deterioration.

RESULTS

All patients interviewed had experienced their acute illness within the context of a long-term health problem. Speaking up was influenced by the ability to recognize changes in clinical condition, self-monitoring, confidence and trust, and culture and system of health care. When patients or relatives did raise concerns, health-care staff had a mediating effect on their comfort with and the effectiveness of speaking up.

IMPLICATIONS

Safety strategies based on patient involvement must take account of the complexities of acute illness. Those that promote partnership may be more acceptable to patients, their families and staff than those that promote challenging behaviour and may ultimately prove to be most safe and effective.

Nurses' immediate response to the fall of a hospitalized patient: a comparison of actions and cognitions of experienced and novice nurses

BACKGROUND

Falls represent a significant threat to patient safety for hospitalized patients throughout the world. Little is known, however, regarding nurses' immediate responses to the discovery of a fallen patient.

OBJECTIVES

The objective of this study was to perform an experimental examination of experienced and novice nurses' reaction to the discovery of a fallen patient who has sustained a closed head injury.

DESIGN

The study was based upon the expert performance approach, which utilizes a mixed methods approach to determining performance characteristics of individuals performing in a variety of domains.

SETTING

The study was accomplished using a simulated task environment developed specifically for research concerning the performance of health professionals.

PARTICIPANTS

The study included 12 experienced and 10 novice nurses, all of whom were currently employed in critical care settings.

METHODS

The study used directly observed performance, which was quantified through the use of direct coding of clinical behaviors and the analysis of verbal reports of thought.

RESULTS

The data indicate that experienced participants were not only more likely to call for help but that they were more likely to precede this action by checking for responsiveness, and then, after calling for help, establish the effectiveness of the patient's airway, breathing and circulation. These data confirmed that experienced participants were more likely to engage in the appropriate sequence of actions when faced with this unexpected and highly stressful situation.

CONCLUSIONS

Novice nurses' superficial assessment of the situation and subsequent failure to react properly implied an overall pattern of superior performance by the experienced nurses. The results indicated that, compared with novice nurses, experienced nurses are more likely to initiate standard treatment protocols in situations such as the one reported in this study.

A before and after study assessing the impact of a new model for recognizing and responding to early signs of deterioration in an acute hospital

AIM

To evaluate the impact of a new model for the detection and management of deteriorating patients on knowledge and confidence of nursing staff in an acute hospital.

BACKGROUND

International evidence shows that clinical deterioration is not always recognized or acted on by nurses. The use of physiological track and trigger scoring systems accompanied by a graded response strategy has been recommended to monitor all adult patients in acute UK hospitals. However, little is known about the impact of these new systems in practice.

DESIGN

A single centre, mixed methods before-and-after study.

METHODS

A mixed methods before-and-after study, set in a district general hospital in England, in 2009, including a survey (n = 213) and qualitative interviews (n = 15) with nursing staff. The questionnaire examined knowledge and confidence in recognition and management of deteriorating patients 6 weeks before and after an intervention which included training, new observation charts and a new track and trigger system. Interviews further explored participants' perspectives. Comparisons were made between registered and unregistered nurses.

RESULTS

Following the intervention, knowledge, and confidence to recognize and manage deteriorating patients increased; the number of concerns were reduced. Scores were higher for registered than unregistered nurses before and after the intervention. Interviews confirmed these findings and provided detail on how nurses felt the new system had improved practice.

CONCLUSION

The new model had a positive impact on the self-assessed knowledge and confidence of registered and unregistered nurses. Similar initiatives should take into account the clinical context and tailor training packages accordingly.

Monitoring vital signs using early warning scoring systems: a review of the literature

AIM

To evaluate the need for, and the development and utility of, pen-and-paper (Modified) Early Warning Scoring (MEWS/EWS) systems for adult inpatients outside critical care and emergency departments, by reviewing published literature.

BACKGROUND

Serious adverse events can be prevented by recognizing and responding to early signs of clinical and physiological deterioration.

EVALUATION

Of 534 papers reporting MEWS/EWS systems for adult inpatients identified, 14 contained useable data on development and utility of MEWS/EWS systems. Systems without aggregate weighted scores were excluded.

KEY ISSUES

MEWS/EWS systems facilitate recognition of abnormal physiological parameters in deteriorating patients, but have limitations. There is no single validated scoring tool across diagnoses. Evidence of prospective validation of MEWS/EWS systems is limited; neither is implementation based on clinical trials. There is no evidence that implementation of Westernized MEWS/EWS systems is appropriate in resource-poor locations.

CONCLUSIONS

Better monitoring implies better care, but there is a paucity of data on the validation, implementation, evaluation and clinical testing of vital signs' monitoring systems in general wards.

IMPLICATIONS FOR NURSING MANAGEMENT

Recording vital signs is not enough. Patient safety continues to depend on nurses' clinical judgment of deterioration. Resources are needed to validate and evaluate MEWS/EWS systems in context.

Critical care outreach referrals: a mixed-method investigative study of outcomes and experiences

AIM

To explore referrals to a critical care outreach team (CCOT), associated factors around patient management and survival to discharge, and the qualitative exploration of referral characteristics (identifying any areas for service improvement around CCOT).

METHOD

A single-centre mixed method study in a specialist hospital was undertaken, using an explanatory design: participant selection model. In this model, quantitative results (prospective and retrospective episode of care review, including modified early warning system (MEWS), time and delay of referral and patient outcomes for admission and survival) are further explained by qualitative (interview) data with doctors and nurses referring to outreach. Quantitative data were analysed using SPSS +17 and 19, and qualitative data were analysed using grounded theory principles.

RESULTS

A large proportion of referrals (124/407 = 30·5%) were made by medical staff. For 97 (97/407 = 23·8%) referrals, there was a delay between the point at which patients deteriorated (as verified by retrospective record review and MEWS score triggers) and the time at when patients were referred. The average delay was 2·96 h (95% CI 1·97-3·95; SD 9·56). Timely referrals were associated with improved outcomes; however, no causal attribution can be made from the circumstances around CCOT referral. Qualitative themes included indications for referral, facilitating factors for referral, barriers to referral and consequences of referral, with an overarching core theory of reassurance. Outreach was seen as back-up and this core theory demonstrates the important, and somewhat less tangible, role outreach has in supporting ward staff to care for at-risk patients.

CONCLUSION

Mapping outreach episodes of care and patient outcomes can help highlight areas for improvement. This study outlines reasons for referral and how outreach can facilitate patient pathways in critical illness.

Suboptimal care of the acutely unwell ward patient: a concept analysis

AIM

This paper presents a concept analysis of suboptimal care of the acutely unwell ward patient.

BACKGROUND

Acutely unwell patients exhibit abnormal vital signs which are either not recognized or are treated inappropriately. This is frequently termed 'suboptimal care'. However, use of the term 'suboptimal care' is ambiguous and not clearly defined. Critical review of this concept is required to ensure nurses have a better understanding of why and how suboptimal care occurs.

DATA SOURCES

Electronic databases (CINAHL, Medline, Cochrane) were searched for literature related to suboptimal care of acutely unwell ward patients. Reference lists from relevant publications were reviewed. No date or language restrictions were imposed. Only articles relevant to suboptimal care of the acutely unwell adult ward patient were included. All literature reviewed was in English and was published between 1990 and 2009.

METHOD

The Walker and Avant approach was used.

RESULTS

The attributes of suboptimal care are delays in diagnosis, treatment or referral, poor assessment and inadequate or inappropriate patient management. These attributes are preceded by contextual antecedents which can be categorized into patient complexity, healthcare workforce, organization and education factors. Suboptimal care may have catastrophic consequences for patients such as death, Intensive Care Unit admission or cardiac arrests which are preventable or avoidable.

CONCLUSION

For future research, investigators need to develop more objective measures which capture delays in the treatment and inappropriate or inadequate management of acutely unwell patients. This should occur through critical focus on the antecedents to suboptimal care.

Call 4 Concern: patient and relative activated critical care outreach

Patients can experience unexpected deterioration in their physiological condition that can lead to critical illness, cardiac arrest, admission to the intensive care unit and death. While ward staff can identify deterioration through monitoring physiological signs, these signs can be missed, interpreted incorrectly or mismanaged. Rapid response systems using early warning scores can fail if staff do not follow protocols or do not notice or manage deterioration adequately. Nurses often notice deterioration intuitively because of their knowledge of individual patients. Patients and their relatives have the greatest knowledge of patients, and can often pick up subtle signs physiological deterioration before this is identified by staff or monitoring systems. However, this ability has been largely overlooked. Call 4 Concern (C4C) is a scheme where patients and relatives can call critical care teams directly if they are concerned about a patient's condition- it is believed to be the first of its kind in the UK. A C4C feasibility project ran for six months, covering patients being transferred from the intensive care unit to general wards. C4C has the potential to prevent clinical deterioration and is valued by patients and relatives. Concerns of ward staff could be managed through project management. As it is relatively new, this field offers further opportunities for research.

Detecting critical illness outside the ICU: the role of track and trigger systems

PURPOSE OF REVIEW

Critical illness is often preceded by physiological deterioration. Track and trigger systems are intended to facilitate the timely recognition of patients with potential or established critical illness outside critical care areas. The aim of this article is to review the evidence for the use of such systems.

RECENT FINDINGS

Existing track and trigger systems have low sensitivity, low positive predictive values, and high specificity. They often fail to identify patients who need additional care and have not been shown to improve outcomes. The development of such systems must be based on robust methodological and statistical principles. At present, few track and trigger systems meet these standards.

SUMMARY

Although track and trigger systems, combined with appropriate response algorithms, have the potential to improve the recognition and management of critical illness, further work is required to validate their utility.

Development and initial validation of the Bedside Paediatric Early Warning System score

INTRODUCTION

Adverse outcomes following clinical deterioration in children admitted to hospital wards is frequently preventable. Identification of children for referral to critical care experts remains problematic. Our objective was to develop and validate a simple bedside score to quantify severity of illness in hospitalized children.

METHODS

A case-control design was used to evaluate 11 candidate items and identify a pragmatic score for routine bedside use. Case-patients were urgently admitted to the intensive care unit (ICU). Control-patients had no 'code blue', ICU admission or care restrictions. Validation was performed using two prospectively collected datasets.

RESULTS

Data from 60 case and 120 control-patients was obtained. Four out of eleven candidate-items were removed. The seven-item Bedside Paediatric Early Warning System (PEWS) score ranges from 0-26. The mean maximum scores were 10.1 in case-patients and 3.4 in control-patients. The area under the receiver operating characteristics curve was 0.91, compared with 0.84 for the retrospective nurse-rating of patient risk for near or actual cardiopulmonary arrest. At a score of 8 the sensitivity and specificity were 82% and 93%, respectively. The score increased over 24 hours preceding urgent paediatric intensive care unit (PICU) admission (P < 0.0001). In 436 urgent consultations, the Bedside PEWS score was higher in patients admitted to the ICU than patients who were not admitted (P < 0.0001).

CONCLUSIONS

We developed and performed the initial validation of the Bedside PEWS score. This 7-item score can quantify severity of illness in hospitalized children and identify critically ill children with at least one hours notice. Prospective validation in other populations is required before clinical application.

What factors influence suboptimal ward care in the acutely ill ward patient?

As technological developments continue to offer patients more health care choices patient acuity increases. Patients that traditionally would have been cared for in a critical care environment are increasingly located on general wards. This change impacts on the acute care sector in a number of ways. Patients who are inpatients have more complex problems and a greater number of co-morbidities and are therefore more likely to suffer physiological deterioration. Procedures requiring inpatient stays are often more complex and associated with higher rates of mortality and morbidity. As patient acuity has increased research has highlighted that the care of the acutely ill ward patient is suboptimal. Suboptimal care implies a lack of knowledge regarding the significance of clinical findings relating to dysfunction of airway, breathing and circulation. This paper analyses the literature on the factors that contribute to suboptimal ward care of the acutely ill patient. It uses the categories proposed by McQuillan et al. [McQuillan P, Pilkington S, Allan A, Taylor B, Short A, Morgan G, et al. Confidential inquiry into quality of care before admission to intensive care. BMJ 1998;316(7148):1853-8] in relation to suboptimal ward care in an attempt to develop a conceptual analysis of the factors that influence suboptimal ward care and acutely ill ward patients. Thus, it aims to develop and enhance practitioners' knowledge and understanding of this topic and therefore improve patient care outcomes.

Clinical triggers: an alternative to a rapid response team

DHMC's clinical triggers program is a promising approach that addresses an unmet patient need. We have seen dramatic reductions in our non-ICU cardiopulmonary arrest rates, along with our ICU bounceback rates. In the context of our hospital, this program aligns well with our teaching mission while maximizing the resources that are currently available. RRTs are certainly one way to prevent the unnoticed deterioration of patients, but programs such as ours, which focus on prevention of ongoing deterioration, may yield more benefit for the patients in institutions similar to DHMC. Although our study does not alter the weight of evidence in the literature, it does offer a new focus on the afferent limb by clarifying the expectations of the primary responders. This was the essence of the deficiency in the aforementioned case study. Death is the natural, albeit sad, endpoint of all lives; the overarching goal of DHMC's clinical triggers system is to prevent the premature death of a hospitalized patient and thereby improve patient safety.

What factors influence suboptimal ward care in the acutely ill ward patient?

As technological developments continue to offer patients more health care choices patient acuity increases. Patients that traditionally would have been cared for in a critical care environment are increasingly located on general wards. This change impacts on the acute care sector in a number of ways. Patients who are inpatients have more complex problems and a greater number of co-morbidities and are therefore more likely to suffer physiological deterioration. Procedures requiring inpatient stays are often more complex and associated with higher rates of mortality and morbidity. As patient acuity has increased research has highlighted that the care of the acutely ill ward patient is suboptimal. Suboptimal care implies a lack of knowledge regarding the significance of clinical findings relating to dysfunction of airway, breathing and circulation. This paper analyses the literature on the factors that contribute to suboptimal ward care of the acutely ill patient. It uses the categories proposed by McQuillan et al. (1998) in relation to suboptimal ward care in an attempt to develop a conceptual analysis of the factors that influence suboptimal ward care and acutely ill ward patients. Thus it aims to develop and enhance practitioners' knowledge and understanding of this topic and therefore improve patient care outcomes.

Gatekeepers of health: a qualitative assessment of child care centre staff's perspectives, practices and challenges to enteric illness prevention and management in child care centres

Background

Enteric outbreaks associated with child care centres (CCC) have been well documented internationally and in Canada. The current literature focuses on identifying potential risk factors for introduction and transmission of enteric disease, but does not examine why these risk factors happen, how the risk is understood and managed by the staff of CCCs, or what challenges they experience responding to enteric illness. The purpose of this study was to explore the understanding, knowledge and actions of CCC staff regarding enteric illness and outbreaks, and to identify challenges that staff encounter while managing them.

Methods

Focus groups were conducted with staff of regulated CCCs in Southern Ontario. Five focus groups were held with 40 participants. An open ended style of interviewing was used. Data were analyzed using content analysis.

Results

CCC staff play an important role in preventing and managing enteric illness. Staff used in-depth knowledge of the children, the centre and their personal experiences to assist in making decisions related to enteric illness. The decisions and actions may differ from guidance provided by public health officials, particularly when faced with challenges related to time, money, staffing and parents.

Conclusion

CCC staff relied on experience and judgment in coordination with public health information to assist decision-making in the management of enteric illness and outbreaks. Advice and guidance from public health officials to CCC staff needs to be consistent yet flexible so that it may be adapted in a variety of situations and meet regulatory and public health requirements.

How grounded theory can improve nursing care quality

This article presents an overview of the grounded theory research method and demonstrates how nurses can employ specific grounded theories to improve patient care quality. Because grounded theory is derived from real-world experience, it is a particularly appropriate method for nursing research. An overview of the method and language of grounded theory provides a background for nurses as they read grounded theories and apply newly acquired understandings to predictable processes and patterns of behavior. This article presents 2 exemplar grounded theories with suggestions as to how nurses can apply these and other grounded theories to improve the provision of quality nursing care.

Effects of rapid response systems on clinical outcomes: systematic review and meta-analysis

BACKGROUND

A rapid response system (RRS) consists of providers who immediately assess and treat unstable hospitalized patients. Examples include medical emergency teams and rapid response teams. Early reports of major improvements in patient outcomes led to widespread utilization of RRSs, despite the negative results of a subsequent cluster-randomized trial.

PURPOSE

To evaluate the effects of RRSs on clinical outcomes through a systematic literature review.

DATA SOURCES

MEDLINE, BIOSIS, and CINAHL searches through August 2006, review of conference proceedings and article bibliographies.

STUDY SELECTION

Randomized and nonrandomized controlled trials, interrupted time series, and before-after studies reporting effects of an RRS on inpatient mortality, cardiopulmonary arrests, or unscheduled ICU admissions.

DATA EXTRACTION

Two authors independently determined study eligibility, abstracted data, and classified study quality.

DATA SYNTHESIS

Thirteen studies met inclusion criteria: 1 cluster-randomized controlled trial (RCT), 1 interrupted time series, and 11 before-after studies. The RCT showed no effects on any clinical outcome. Before-after studies showed reductions in inpatient mortality (RR = 0.82, 95% CI: 0.74-0.91) and cardiac arrest (RR = 0.73, 95% CI: 0.65-0.83). However, these studies were of poor methodological quality, and control hospitals in the RCT reported reductions in mortality and cardiac arrest rates comparable to those in the before-after studies.

CONCLUSIONS

Published studies of RRSs have not found consistent improvement in clinical outcomes and have been of poor methodological quality. The positive results of before-after trials likely reflects secular trends and biased outcome ascertainment, as the improved outcomes they reported were of similar magnitude to those of the control group in the RCT. The effectiveness of the RRS concept remains unproven.