The impact of whole of patient nursing assessment frameworks on hospital inpatients: A scoping literature review.

INTRODUCTION: A comprehensive patient assessment is essential for safe patient care. Patient assessment frameworks for nurses are generally restricted to patients who already have altered vital signs and are at risk of deterioration, or to specific risks or body systems such as falls, pressure injury and the Glasgow Coma Score. Comprehensive and structured evidence-based nursing assessment frameworks that consider the whole patient and extend beyond vital signs, specific risks and single systems are not routinely used in inpatient settings but are important to establish early risks for patient deterioration. AIM: The aim of this review was to identify nursing assessment tools or frameworks used to holistically assess hospitalized patients and to identify the impact of these tools on patient and health service outcomes. METHODS: A scoping literature review was conducted. Medical Literature Analysis and Retrieval System Online (MEDLINE), Cumulative Index of Nursing and Allied Health Literature (CINAHL), ProQuest Dissertations and Thesis, Embase and Scopus were databases used in the search. The initial search was conducted in August 2021 and repeated in November 2022. No date parameters were set. The Participants, Concept, Context (PCC) framework was used to guide the development of the research question and consolidate inclusion and exclusion criteria. The PRISMA-ScR Checklist Item was followed to ensure a methodologically sound checklist was used. RESULTS: Ten primary research studies evaluating six nursing assessment frameworks were included. Of the five nursing assessment frameworks, none were explicitly designed for general ward nursing, but rather the emergency department or specific patient cohorts, such as oncology. Four studies reported on reliability and/or validity; two reported on patient outcomes and four on staff satisfaction. CONCLUSION: Evidence-based nursing patient assessment frameworks for use in general inpatient wards are lacking. Existing assessment tools are largely designed for specific patient cohorts, specific body systems or the already deteriorating patient. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: A framework to enable a structured approach to patient assessment in this environment is needed for patient safety, consistency in assessment, nursing staff enablement and confidence to escalate care. Routine systematic nursing assessment could also aid timely patient escalation. IMPACT: What problem did the study address? This study addresses the lack of evidence-based nursing assessment frameworks for use in hospitalized patients. The impact of this is that it highlights the need for an evidence-based, whole of patient assessment framework for use by nurses for patients admitted to a ward environment. What were the main findings? This review identified limited comprehensive, patient assessment frameworks for use in general ward inpatient areas. Those identified were not validated for this patient cohort and are aimed at patients already deteriorating. Where and on whom will the research have an impact? This review has the potential to impact future research and patient care. It highlights that most research is focussed on processes to detect and escalate care for the already deteriorating patient. There is a need for an evidence-based routine nursing assessment framework for patients admitted to a ward environment to promote positive patient outcomes and prevent deterioration. PATIENT AND PUBLIC CONTRIBUTION: This review contributes to existing knowledge of nursing patient assessment frameworks, yet it also highlights several gaps. Currently, there are no known, validated, holistic, structured nursing patient assessment frameworks for use in general ward inpatient settings. However, areas that do use such assessment frameworks (e.g. the emergency department) have shown positive patient outcomes and staff usability. Hospitalized ward patients would benefit from routine, structured nursing assessments targeting positive patient outcomes prior to the onset of deterioration.

Indicators of patient deterioration in poorly resourced private hospitals: Which vital sign to watch? A retrospective case-control study.

BACKGROUND: Patient vital signs are a measure of wellness if monitored regularly and accurately. Staff shortages in poorly resourced regional hospitals often result in inadequate patient monitoring, putting patients at risk of undetected deterioration. OBJECTIVE: This study aims to explore the pattern and completeness of vital sign monitoring and the contribution of each vital sign in predicting clinical deterioration events in resource-poor regional/rural hospitals. METHOD: Using a retrospective case-control study design, we compared 24 h of vital sign data from deteriorating and nondeteriorating patients from two poorly-resourced regional hospitals. Descriptive statistics, t-tests, and analysis of variance are used to compare patient-monitoring frequency and completeness. The contribution of each vital sign in predicting patient deterioration was determined using the Area Under the Receiver Operator Characteristic curve and binary logistical regression analysis. RESULTS: Deteriorating patients were monitored more frequently (9.58 [7.02] times) in the 24-h period than nondeteriorating patients (4.93 [2.66] times). However, the completeness of vital sign documentation was higher in nondeteriorating (85.2%) than in deteriorating patients (57.7%). Body temperature was the most frequently omitted vital sign. Patient deterioration was positively linked to the frequency of abnormal vital signs and the number of abnormal vital signs per set (Area Under the Receiver Operator Characteristic curve: 0.872 and 0.867, respectively). No single vital sign strongly predicts patient outcomes. However, a supplementary oxygen value of >3 L/min and a heart rate of >139 beats/min were the best predictors of patient deterioration. CONCLUSION: Given the poor resourcing and often geographical remoteness of small regional hospitals, it is prudent that the nursing staff are made aware of the vital signs that best indicate deterioration for the cohort of patients in their care. Tachycardic patients on supplementary oxygen are at high risk of deterioration.

Reflections from the frontline of nursing on acute patient deterioration.

AIMS: To describe medical-surgical nurses' reflections on their experiences with patient deterioration. BACKGROUND: An extensive body of knowledge exists regarding optimal responses to acute patient deterioration within a hospital environment. Much less attention has focused on the profound psychological and emotional impact these experiences of unexpected deterioration can have on nurses who provided the supportive or rescue care. A triggering event, such as patient deterioration, or direct questioning about these experiences, can lead nurses to reflect further on the situation. Engaging in reflection is believed to enhance learning and improve clinical judgement when future complex situations arise. Findings related to nurses' reflective practice when recalling previous situations with deteriorating patients are limited. This gap in the literature provided the basis for the current project. DESIGN: A qualitative descriptive design. METHODS: Twenty medical-surgical nurses were interviewed in 2018. The nurses were recruited through purposive sampling. Semi-structured telephone interviews explored nurses' experiences of a patient deterioration. Conventional content analysis with iterative coding and categorising and theme development was used for data analysis. FINDINGS: Three themes emerged as participants reflected on their experiences. The themes were, Enduring frustration and regret, Feeling deeply responsible for and to the patient and Making sense of what happened. CONCLUSIONS: Medical-surgical nurses who care for acutely deteriorating patients can experience lasting emotional, psychological and physical concerns that often go unrecognised and untreated. Furthermore, nurses with this background commonly reported their perceived increased risk for workplace distress. RELEVANCE TO CLINICAL PRACTICE: Findings from this study are important for nurses, healthcare administrators and leaders, and patients. Participating in a rescue attempt often has a negative impact on nurses' perception of workplace stress and on persistent concerns about nurses' mental and physical health. The findings can be useful in informing additional studies about the phenomenon. Findings also can inform the exploration of workplace design. Organisations should assess for factors influencing workplace stress, develop strategies to mitigate the presence of workplace stress and foster nurses' well-being so they can respond to future scenarios of patient deterioration, while maintaining their physical and mental health. PATIENT OR PUBLIC CONTRIBUTION: This study did not include any patient or public input.

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 patient experience of a medical emergency team review: A convergent mixed-methods study.

AIMS: The aim of this study was to explore clinician-patient engagement during, and patient experience of, medical emergency team (MET) reviews. DESIGN: This study involved a convergent mixed-methods design. METHODS: This three-phase study was conducted at two hospitals of one Australian health service. Reviews by the MET were observed for clinician-patient engagement behaviours; medical records were audited to confirm patient demographics and clinical characteristics; and patients who received a MET review were interviewed. Quantitative data were analysed using descriptive statistics, and thematic analysis of qualitative interview data was conducted. RESULTS: In total, 26 MET reviews were observed for 22 patients (median age = 81.5 years and 68.2% females). Between 8 and 13 clinicians and other staff members were present during each review, with a total of 209 clinicians present during the 26 reviews. Clinicians were not observed to speak directly or indirectly to the patient about their care in 38.5% (n = 10/26) of the MET reviews, and 58.3% (n = 56/96) of interventions were performed without explanation. Four themes were identified from the interviews: An unexpected event; A lack of understanding; In good hands, and What happens next? CONCLUSION: Clinician-patient engagement was infrequent during and after MET reviews. Patients experienced surprise from the sudden arrival of clinicians in their room and had poor levels of understanding about the review. However, most patients felt supported and safe. MET reviews are frequent safety-critical events, and this study identified the patient experience of these events. Clinicians should be aware that patients expressed they were surprised and shocked by the review and that an explanation of what was being done by the clinical team was rarely offered. These findings can be used to inform strategies to improve their patient-engagement behaviours and patient-centred care.

Laboratory-derived early warning score for the prediction of in-hospital mortality, intensive care unit admission, medical emergency team activation and cardiac arrest in general medical wards.

BACKGROUND: General medical wards admit a varied cohort of patients from the emergency department, some of whom deteriorate during their hospital stay. Currently, we use vital signs based warning scores to predict patients at risk of imminent deterioration, but there is now a growing body of literature that commonly available laboratory results may also help to identify those at risk. AIM: To assess whether a laboratory-based admission score can predict in hospital mortality, intensive care unit (ICU) admission, medical emergency team (MET) activation or cardiac arrest in a cohort of Australian general medical patients admitted through the emergency department (ED). METHODS: We performed a retrospective observational study of all general medical admissions to hospital through the ED in 2015. Admission pathology was used to calculate a risk score. In-patient outcomes of death, ICU transfer, MET call activation or cardiac arrest were collected from hospital records. RESULTS: We studied 2942 admissions derived from 2521 patients, with a median age of 81 years. There were 143 in-patient deaths, 82 ICU admissions, 277 MET calls and 14 cardiac arrest calls. The laboratory-based admission score had an area under the receiver operating characteristic curve (AUC-ROC) of 0.76 (95% confidence interval (CI): 0.72-0.80) for inpatient death, an AUC-ROC of 0.79 (95% CI: 0.66-0.93) for inpatient cardiac arrest, an AUC-ROC of 0.64 (95% CI: 0.58-0.70) for ICU transfer and an AUC-ROC of 0.59 (95% CI: 0.55-0.62) for MET call activation. When patients aged over 75 were analysed separately, the AUC-ROC for prediction of in-patient death was 0.74 (95% CI: 0.70-0.78) and increased to 0.86 (95% CI: 0.73-0.98) for the prediction of in-patient cardiac arrest. CONCLUSION: A simple laboratory-derived score obtained at patient admission is a fair to good predictor of subsequent in-patient death or cardiac arrest in general medical patients and in the older patient cohort. Prospective interventional studies are required to ascertain the clinical utility of this admission score.

The pilot, proof of concept REMOTE-COVID trial: remote monitoring use in suspected cases of COVID-19 (SARS-CoV 2).

BACKGROUND: SARS-CoV-2 has ever-increasing attributed deaths. Vital sign trends are routinely used to monitor patients with changes in these parameters preceding an adverse event. Wearable sensors can measure vital signs continuously and remotely, outside of hospital facilities, recognising early clinical deterioration. We aim to determine the feasibility & acceptability of remote monitoring systems for quarantined individuals in a hotel suspected of COVID-19. METHODS: A pilot, proof-of-concept, feasibility trial was conducted in engineered hotels near London airports (May-June 2020). Individuals arriving to London with mild suspected COVID-19 symptoms requiring quarantine, as recommended by Public Health England, or healthcare professionals with COVID-19 symptoms unable to isolate at home were eligible. The SensiumVitals™ patch, measuring temperature, heart & respiratory rates, was applied on arrival for the duration of their stay. Alerts were generated when pre-established thresholds were breeched; trained nursing staff could consequently intervene. RESULTS: Fourteen individuals (M = 7, F = 7) were recruited; the mean age was 34.9 (SD 11) years. Mean length of stay was 3 (SD 1.8) days. In total, 10 vital alerts were generated across 4 participants, resulting in telephone contact, reassurance, or adjustment of the sensor. No individuals required hospitalisation or virtual general practitioner review. DISCUSSION: This proof-of-concept trial demonstrated the feasibility of a rapidly implemented model of healthcare delivery through remote monitoring during a pandemic at a hotel, acting as an extension to a healthcare trust. Benefits included reduced viral exposure to healthcare staff, with recognition of clinical deterioration through ambulatory, continuous, remote monitoring using a discrete wearable sensor. CONCLUSION: Remote monitoring systems can be applied to hotels to deliver healthcare safely in individuals suspected of COVID-19. Further work is required to evaluate this model on a larger scale. TRIAL REGISTRATION: Clinical trials registration information: ClinicalTrials.gov Identifier: NCT04337489 (07/04/2020).

Characterizing rescue performance in a tertiary care medical center: a systems approach to provide management decision support.

BACKGROUND: Allocation of limited resources to improve quality, patient safety, and outcomes is a decision-making challenge health care leaders face every day. While much valuable health care management research has concentrated on administrative data analysis, this approach often falls short of providing actionable information essential for effective management of specific system implementations and complex systems. This comprehensive performance analysis of a hospital-wide system illustrates application of various analysis approaches to support understanding specific system behaviors and identify leverage points for improvement. The study focuses on performance of a hospital rescue system supporting early recognition and response to patient deterioration, which is essential to reduce preventable inpatient deaths. METHODS: Retrospective analysis of tertiary care hospital inpatient and rescue data was conducted using a systems analysis approach to characterize: patient demographics; rescue activation types and locations; temporal patterns of activation; and associations of patient factors, including complications, with post-rescue care disposition and outcomes. RESULTS: Increases in bedside consultations (20% per year) were found with increased rescue activations during periods of resource limitations and changes (e.g., shift changes, weekends). Cardiac arrest, respiratory failure, and sepsis complications present the highest risk for rescue and death. Distributions of incidence of rescue and death by day of patient stay may suggest opportunities for earlier recognition. CONCLUSIONS: Specific findings highlight the potential of using rescue-related risk and targeted resource deployment strategies to improve early detection of deterioration. The approach and methods applied can be used by other institutions to understand performance and allow rational incremental improvements to complex care delivery systems.

Implementation of a structured emergency nursing framework results in significant cost benefit.

BACKGROUND: Patients are at risk of deterioration on discharge from an emergency department (ED) to a ward, particularly in the first 72 h. The implementation of a structured emergency nursing framework (HIRAID) in regional New South Wales (NSW), Australia, resulted in a 50% reduction of clinical deterioration related to emergency nursing care. To date the cost implications of this are unknown. The aim of this study was to determine any net financial benefits arising from the implementation of the HIRAID emergency nursing framework. METHODS: This retrospective cohort study was conducted between March 2018 and February 2019 across two hospitals in regional NSW, Australia. Costs associated with the implementation of HIRAID at the study sites were calculated using an estimate of initial HIRAID implementation costs (AUD) ($492,917) and ongoing HIRAID implementation costs ($134,077). Equivalent savings per annum (i.e. in less patient deterioration) were calculated using projected estimates of ED admission and patient deterioration episodes via OLS regression with confidence intervals for incremental additional deterioration costs per episode used as the basis for scenario analysis. RESULTS: The HIRAID-equivalent savings per annum exceed the costs of implementation under all scenarios (Conservative, Expected and Optimistic). The estimated preliminary savings to the study sites per annum was $1,914,252 with a payback period of 75 days. Conservative projections estimated a net benefit of $1,813,760 per annum by 2022-23. The state-wide projected equivalent savings benefits of HIRAID equalled $227,585,008 per annum, by 2022-23. CONCLUSIONS: The implementation of HIRAID reduced costs associated with resources consumed from patient deterioration episodes. The HIRAID-equivalent savings per annum to the hospital exceed the costs of implementation across a range of scenarios, and upscaling would result in significant patient and cost benefit.

Predicting Patient Deterioration: A Review of Tools in the Digital Hospital Setting.

BACKGROUND: Early warning tools identify patients at risk of deterioration in hospitals. Electronic medical records in hospitals offer real-time data and the opportunity to automate early warning tools and provide real-time, dynamic risk estimates. OBJECTIVE: This review describes published studies on the development, validation, and implementation of tools for predicting patient deterioration in general wards in hospitals. METHODS: An electronic database search of peer reviewed journal papers from 2008-2020 identified studies reporting the use of tools and algorithms for predicting patient deterioration, defined by unplanned transfer to the intensive care unit, cardiac arrest, or death. Studies conducted solely in intensive care units, emergency departments, or single diagnosis patient groups were excluded. RESULTS: A total of 46 publications were eligible for inclusion. These publications were heterogeneous in design, setting, and outcome measures. Most studies were retrospective studies using cohort data to develop, validate, or statistically evaluate prediction tools. The tools consisted of early warning, screening, or scoring systems based on physiologic data, as well as more complex algorithms developed to better represent real-time data, deal with complexities of longitudinal data, and warn of deterioration risk earlier. Only a few studies detailed the results of the implementation of deterioration warning tools. CONCLUSIONS: Despite relative progress in the development of algorithms to predict patient deterioration, the literature has not shown that the deployment or implementation of such algorithms is reproducibly associated with improvements in patient outcomes. Further work is needed to realize the potential of automated predictions and update dynamic risk estimates as part of an operational early warning system for inpatient deterioration.

A conceptual framework of student professionalization for health professional education and research.

OBJECTIVES: To present a conceptual framework of student professionalization for health professional education and research. METHODS: Synthesis and discussion of a program of research on competency-based education. RESULTS: Competency-based education relies on active, situation-based group learning strategies to prepare students to become health professionals who are connected to patient and population needs. Professionalization is understood as a dynamic process of imagining, becoming, and being a member of a health profession. It rests on the evolution of three interrelated dimensions: professional competencies, professional culture, and professional identity. Professionalization occurs throughout students' encounters with meaningful learning experiences that involve three core components: the roles students experience in situations bounded within specific contexts. Educational practices conducive to professionalization include active learning, reflection, and feedback. CONCLUSIONS: This conceptual framework drives a research agenda aimed at understanding how students become health professional and how learning experiences involving action, reflection, and feedback foster that process and the advancement of professional practices.

Demonstrating the consequences of learning missingness patterns in early warning systems for preventative health care: A novel simulation and solution.

When using tree-based methods to develop predictive analytics and early warning systems for preventive healthcare, it is important to use an appropriate imputation method to prevent learning the missingness pattern. To demonstrate this, we developed a novel simulation that generated synthetic electronic health record data using a variational autoencoder with a custom loss function, which took into account the high missing rate of electronic health data. We showed that when tree-based methods learn missingness patterns (correlated with adverse events) in electronic health record data, this leads to decreased performance if the system is used in a new setting that has different missingness patterns. Performance is worst in this scenario when the missing rate between those with and without an adverse event is the greatest. We found that randomized and Bayesian regression imputation methods mitigate the issue of learning the missingness pattern for tree-based methods. We used this information to build a novel early warning system for predicting patient deterioration in general wards and telemetry units: PICTURE (Predicting Intensive Care Transfers and other UnfoReseen Events). To develop, tune, and test PICTURE, we used labs and vital signs from electronic health records of adult patients over four years (n = 133,089 encounters). We analyzed primary outcomes of unplanned intensive care unit transfer, emergency vasoactive medication administration, cardiac arrest, and death. We compared PICTURE with existing early warning systems and logistic regression at multiple levels of granularity. When analyzing PICTURE on the testing set using all observations within a hospital encounter (event rate = 3.4%), PICTURE had an area under the receiver operating characteristic curve (AUROC) of 0.83 and an adjusted (event rate = 4%) area under the precision-recall curve (AUPR) of 0.27, while the next best tested method-regularized logistic regression-had an AUROC of 0.80 and an adjusted AUPR of 0.22. To ensure system interpretability, we applied a state-of-the-art prediction explainer that provided a ranked list of features contributing most to the prediction. Though it is currently difficult to compare machine learning-based early warning systems, a rudimentary comparison with published scores demonstrated that PICTURE is on par with state-of-the-art machine learning systems. To facilitate more robust comparisons and development of early warning systems in the future, we have released our variational autoencoder's code and weights so researchers can (a) test their models on data similar to our institution and (b) make their own synthetic datasets.

Nursing handoffs and clinical judgments regarding patient risk of deterioration: A mixed-methods study.

AIMS AND OBJECTIVES: To explore how change-of-shift handoffs relate to nurses' clinical judgments regarding patient risk of deterioration. BACKGROUND: The transfer of responsibility for patients' care comes with an exchange of information about their condition during change-of-shift handoff. However, it is unclear how this exchange affects nurses' clinical judgments regarding patient risk of deterioration. DESIGN: A sequential explanatory mixed-methods study reported according to the STROBE and COREQ guidelines. METHODS: Over four months, 62 nurses from one surgical and two medical units at a single Canadian hospital recorded their handoffs at change of shift. After each handoff, the two nurses involved each rated the patient's risk of experiencing cardiac arrest or being transferred to an intensive care unit in the next 24 hr separately. The information shared in handoffs was subjected to content analysis; code frequencies were contrasted per nurses' ratings of patient risk to identify characteristics of information that facilitated or hindered nurses' agreement. RESULTS: Out of 444 recorded handoffs, there were 125 in which at least one nurse judged that a patient was at risk of deterioration; nurses agreed in 32 cases (25.6%) and disagreed in 93 (74.4%). These handoffs generally included information on abnormal vital signs, breathing problems, chest pain, alteration of mental status or neurological symptoms. However, the quantity and seriousness of clinical cues, recent transfers from intensive care units, pain without a clear cause, signs of delirium and nurses' knowledge of patient were found to affect nurses' agreement. CONCLUSIONS: Nurses exchanged more information regarding known indicators of deterioration in handoffs when they judged that patients were at risk. Disagreements most often involved incoming nurses rating patient risk as higher. RELEVANCE TO CLINICAL PRACTICE: This study suggests a need to sensitise nurses to the impact of certain cues at report on their colleagues' subsequent clinical judgments. Low levels of agreement between nurses underscore the importance of exchanging impressions regarding the likely evolution of a patient's situation to promote continuity of care.

The efficacy of twelve early warning systems for potential use in regional medical facilities in Queensland, Australia.

AIM: Early warning system (EWS) validation studies are conducted predominantly in tertiary metropolitan facilities and are not necessarily applicable to regional hospitals. This study evaluates 12 EWSs for use in regional subcritical hospitals. METHOD: This is a retrospective case-control study of patients who experienced severe adverse events (SAEs) in two regional private hospitals. Vital signs collected over 72 h preceding the SAE were applied to 12 EWSs representing three classes of EWSs. The EWS area under the receiver operator characteristic curve (AUROC), sensitivity, specificity, and number of alerts were calculated. RESULTS: Data from 159 index and 172 control patients showed no significant differences in demographics, length of stay, and level of comorbidities. Only half of index patients achieved a medical emergency alert threshold score. On average, index patients triggered alerts 20.06 (22.67) hours preceding the SAE and alerted 2.25 (3.87) times over 72 h. The AUROC ranged from 0.628 to 0.747, with a single-parameter EWS having the lowest AUROC and an aggregated weighted EWS, the highest. The sensitivity of the EWS ranges from 0.359 to 0.692. The specificity was greater than 0.9 for all the EWSs tested. CONCLUSIONS: Based on the EWS sensitivity and AUROC, there is a lack of conclusive evidence of the efficacy of the 12 EWSs tested. However, because the adoption of the EWS in Australian hospitals is mandatory, the implementation of an aggregated weighted EWS, such as Compass, should be considered in subcritical regional private hospitals. Given that only half of SAE achieved an EWS medical alert threshold score, it is important that good clinical judgement be used with EWS.

Consumers' perspectives on their involvement in recognizing and responding to patient deterioration-Developing a model for consumer reporting.

BACKGROUND: Adverse events occur in health care. Detection and reporting of deterioration therefore have a critical role to play. Patient and family member (consumer) involvement in patient safety has gained powerful support amongst global policymakers. Few studies, with none taking a rigorous qualitative approach, have drawn upon consumers' experiences to establish their preferences in consumer reporting of patient deterioration programmes. OBJECTIVE: To explore consumers' experiences of previous reporting of patient deterioration; their preferred educational strategies on this role and recommended pathways in a consumer reporting of patient deterioration model. DESIGN, SETTING AND PARTICIPANTS: An interpretive, qualitative research design was utilized. Nine focus group interviews were undertaken across Adelaide, capital city of South Australia. Interviews were audio-taped, transcribed and analysed thematically. Twenty-six adults described, then reflected, on previous experiences of reporting patient deterioration. RESULTS: Overarching themes incorporated consumers' experiences and patient/family education. Three themes emerged in relation to consumers' experiences: feelings, thoughts and actions. Five themes arose on educating consumers: content, timing, format, information providers and information recipients. The consumers' deep reflections on their past reporting experiences led to the development of a new model for consumer reporting of patient deterioration. CONCLUSIONS: Consumers' views on ways to improve consumer reporting of patient deterioration processes emerged. These improvements include structured educational programmes for staff advocating open health-care professional/consumer communication, educational materials developed and tested with English-speaking and culturally and linguistically diverse consumers and a model with three consumer reporting pathways.

To identify the factors that influence the recognizing and responding to adult patient deterioration in acute hospitals.

AIMS: To identify factors that influence recognition and response to adult patient deterioration in acute hospitals. DESIGN: A mixed-studies systematic review. DATA SOURCES: CINAHL, Medline, and Web of Science were searched for relevant literature published between 2007 - 2018. REVIEW METHODS: Studies were critically appraised, data extracted and thematically analysed. RESULTS: Thirteen papers met the inclusion criteria. Three main themes were identified: (a) Knowledge and understanding of clinical deterioration; (b) Organizational factors; managing deterioration and staffing levels; and (c) Communication; inter-professional relationships and professional-patient communication. CONCLUSION: Despite national guidelines, the review findings suggest that the recognition and response to adult patient deterioration in acute hospital settings is sub-optimal. A multitude of factors influencing the recognition and response to adult patient deterioration emerged from the findings. IMPACT: Patients are receiving sub-optimal care due to failure in recognizing and responding to patient deterioration in an appropriate and timely manner. Nurses lack knowledge and understanding of deterioration. Organizational factors contribute to inadequate care and communication among professionals was highlighted as challenging. The factors that influence the recognizing and responding to patient deterioration in acute hospitals are multi-faceted, however this review highlights immediate recommendations for professionals in the acute care setting.

A good idea badly implemented? Revised National Early Warning Score 2 in community settings.

The revised National Early Warning Score (NEWS2), a tool used to measure acute deterioration in hospital, has been introduced in acute NHS hospitals and ambulance services. Community nurses report that when they call 999 requesting an ambulance to take a person to hospital, they are asked to provide a NEWS score. They report that when the NEWS score is high, ambulance staff prioritise the call. The NEWS score is being introduced in the community by default. This article will outline how the NEWS score is calculated, its uses and limitations and asks if the NEWS score accurately measures acute deterioration in people living in the community and predicts the need for referral to accident and emergency services.

Enhanced early warning system impact on nursing practice: A phenomenological study.

AIM: To determine how an enhanced early warning system has an impact on nursing practice. BACKGROUND: Early warning systems score physiologic measures and alert nurses to subtle changes in patient condition. Critics of early warning systems have expressed concern that nurses would rely on a score rather than assessment skills and critical thinking to determine the need for intervention. Enhancing early warning systems with innovative technology is still in its infancy, so the impact of an enhanced early warning system on nursing behaviours or practice has not yet been studied. DESIGN: Phenomenological design. METHODS: Scripted, semistructured interviews were conducted in September 2015 with 25 medical/surgical nurses who used the enhanced early warning system. Data were analysed using thematic analysis techniques (coding and bracketing). Emerging themes were examined for relationships and a model describing the enhanced early warning system experience was developed. FINDINGS: Nurses identified awareness leading to investigation and ease of prioritization as the enhanced early warning system's most important impact on their nursing practice. There was also an impact on organizational culture, with nurses reporting improved communication, increased collaboration, increased accountability and proactive responses to early changes in patient condition. CONCLUSIONS: Rather than hinder critical thinking, as many early warning systems' critics claim, nurses in this study found that the enhanced early warning system increased their awareness of changes in a patient's condition, resulting in earlier response and reassessment times. It also had an impact on the organization by improving communication and collaboration and supporting a culture of proactive rather than reactive response to early signs of deterioration.

New graduate nurses' preparation for recognition and prevention of failure to rescue: A qualitative study.

AIM AND OBJECTIVE: To explore new graduate nurses' experiences with recognition and prevention of failure to rescue. BACKGROUND: Failure to rescue is recognised as a quality-of-care indicator, a core measure of nursing care in hospitals, and a determinant for staffing in acute care facilities. Clinical reasoning is an essential component in preventing failure to rescue and should be emphasised in nursing education and new graduate orientation. Many nurses graduate without the ability to use clinical reasoning in providing patient care which can lead to adverse patient outcomes. DESIGN: A descriptive phenomenological design was used. METHODS: A purposive sample of 14 new graduate nurses from a nursing programme in the south-eastern USA, in practice for no more than eighteen months, was recruited. Individual one-on-one interviews were conducted from January-June 2016 and audio-recorded for accuracy. Data were evaluated using the consolidated criteria for reporting qualitative research (COREQ) guidelines. Recordings were professionally transcribed and reviewed. RESULTS: Using Giorgi's methods for data analysis, five main themes were discerned in the data: clinical preparation in school; experience with emergent situations; development of clinical reasoning; low confidence as a new graduate; and responding to emergencies. Within each theme, subthemes emerged. CONCLUSION: The words of the participants provided rich detail into the preparation of new graduate nurses and how nurse educators, managers and preceptors can better focus learning opportunities to prepare them for practice. Experiential learning combined with collaboration among education stakeholders will lead to a better prepared and more confident nursing work force. RELEVANCE TO CLINICAL PRACTICE: Better preparation and continued support of new graduate nurses lead to positive patient outcomes and more satisfaction with their choice of nursing as a profession.

The use of early warning scores to recognise and respond to patient deterioration in district nursing.

This discussion article focuses on the literature surrounding early warning scoring systems and their use in primary care, specifically within district nursing. Patient deterioration is a global concern, associated with high mortality rates and avoidable deaths. Early recognition and response by nursing and other health care staff has been attributed to early warning scoring systems (EWSS) and tools. However, the use of equivalent tools in the community appears to be lacking. This review concludes that there is no consensus over the use of EWSS in district nursing and culture of practice is varied, rather than standardised.