Dataset Information

Pediatric Early Warning Systems (PEWS) improve provider-family communication from the provider perspective in pediatric cancer patients experiencing clinical deterioration.

ABSTRACT:

Background

Communication between providers and patients' families is an integral part of clinical care. Family concern is a validated component of Pediatric Early Warning Systems (PEWS); however, little is known about the impact of PEWS on provider-family communication.

Methods

Semi-structured interviews were conducted with 83 ward and Pediatric Intensive Care Unit (PICU) providers involved in the care of patients with deterioration at two pediatric oncology hospitals of different resource levels: St. Jude Children's Research Hospital (n = 42) in the United States and Unidad Nacional de Oncología Pediátrica (UNOP, n = 41) in Guatemala. Interviews were conducted in the participants' native language (English or Spanish), transcribed, and translated into English. Transcripts were coded by two researchers and analyzed for thematic content surrounding family communication and concern.

Results

All participants recognized patients' families as a valuable part of the care team, particularly during events requiring escalation of care. Perceived barriers to communication included limited time spent at the bedside, and, at UNOP, language and literacy challenges which occasionally limited providers' ability to assess family concern and involve families in patient care. Despite these barriers, providers perceived PEWS improved communication by facilitating more interaction with families, allowing for relationship-building, anticipatory guidance, and destigmatization of the PICU. PEWS assessments also allowed families to contribute to identification of deterioration.

Conclusions

PEWS improve the quality of communication between providers and families by providing more opportunities for interaction, building relationships, and trust. These findings further support the use of PEWS in the care of children with cancer in hospitals of all resource-levels.

SUBMITTER: Gillipelli SR

PROVIDER: S-EPMC9939098 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Publications

Pediatric Early Warning Systems (PEWS) improve provider-family communication from the provider perspective in pediatric cancer patients experiencing clinical deterioration.

Gillipelli Srinithya R SR Kaye Erica C EC Garza Marcela M Ferrara Gia G Rodriguez Mario M Soberanis Vasquez Dora Judith DJ Mendez Aceituno Alejandra A Antillón-Klussmann Federico F Gattuso Jami S JS Mandrell Belinda N BN Baker Justin N JN Rodriguez-Galindo Carlos C Agulnik Asya A Graetz Dylan E DE

Cancer medicine 20220921 3

<h4>Background</h4>Communication between providers and patients' families is an integral part of clinical care. Family concern is a validated component of Pediatric Early Warning Systems (PEWS); however, little is known about the impact of PEWS on provider-family communication.<h4>Methods</h4>Semi-structured interviews were conducted with 83 ward and Pediatric Intensive Care Unit (PICU) providers involved in the care of patients with deterioration at two pediatric oncology hospitals of different ...[more]

PMID: 36128882

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Project description:Background Sustainability, or continued use of evidence-based interventions for long-term patient benefit, is the least studied aspect of implementation science. In this study, we evaluate sustainability of a Pediatric Early Warning System (PEWS), an evidence-based intervention to improve early identification of clinical deterioration in hospitalized children, in low-resource settings using the Clinical Capacity for Sustainability Framework (CCS). Methods We conducted a secondary analysis of a qualitative study to identify barriers and enablers to PEWS implementation. Semi-structured interviews with PEWS implementation leaders and hospital directors at 5 Latin American pediatric oncology centers sustaining PEWS were conducted virtually in Spanish from June to August 2020. Interviews were recorded, professionally transcribed, and translated into English. Exploratory thematic content analysis yielded staff perceptions on PEWS sustainability. Coded segments were analyzed to identify participant perception about the current state and importance of sustaining PEWS, as well as sustainability successes and challenges. Identified sustainability determinants were mapped to the CCS to evaluate its applicability. Results We interviewed 71 staff including physicians (45%), nurses (45%), and administrators (10%). Participants emphasized the importance of sustaining PEWS for continued patient benefits. Identified sustainability determinants included supportive leadership encouraging ongoing interest in PEWS, beneficial patient outcomes enhancing perceived value of PEWS, integrating PEWS into the routine of patient care, ongoing staff turnover creating training challenges, adequate material resources to promote PEWS use, and the COVID-19 pandemic. While most identified factors mapped to the CCS, COVID-19 emerged as an additional external sustainability challenge. Together, these challenges resulted in multiple impacts on PEWS sustainment, ranging from a small reduction in PEWS quality to complete disruption of PEWS use and subsequent loss of benefits to patients. Participants described several innovative strategies to address identified challenges and promote PEWS sustainability. Conclusion This study describes clinician perspectives on sustainable implementation of evidence-based interventions in low-resource settings, including sustainability determinants and potential sustainability strategies. Identified factors mapped well to the CCS, however, external factors, such as the COVID pandemic, may additionally impact sustainability. This work highlights an urgent need for theoretically-driven, empirically-informed strategies to support sustainable implementation of evidence-based interventions in settings of all resource-levels.

Project description:BackgroundPaediatric early warning systems (PEWS) aid in the early identification of clinical deterioration events in children admitted to hospital. We aimed to investigate the effect of PEWS implementation on mortality due to clinical deterioration in children with cancer in 32 resource-limited hospitals across Latin America.MethodsProyecto Escala de Valoración de Alerta Temprana (Proyecto EVAT) is a quality improvement collaborative to implement PEWS in hospitals providing childhood cancer care. In this prospective, multicentre cohort study, centres joining Proyecto EVAT and completing PEWS implementation between April 1, 2017, and May 31, 2021, prospectively tracked clinical deterioration events and monthly inpatient-days in children admitted to hospital with cancer. De-identified registry data reported between April 17, 2017, and Nov 30, 2021, from all hospitals were included in analyses; children with limitations on escalation of care were excluded. The primary outcome was clinical deterioration event mortality. Incidence rate ratios (IRRs) were used to compare clinical deterioration event mortality before and after PEWS implementation; multivariable analyses assessed the correlation between clinical deterioration event mortality and centre characteristics.FindingsBetween April 1, 2017, and May 31, 2021, 32 paediatric oncology centres from 11 countries in Latin America successfully implemented PEWS through Proyecto EVAT; these centres documented 2020 clinical deterioration events in 1651 patients over 556 400 inpatient-days. Overall clinical deterioration event mortality was 32·9% (664 of 2020 events). The median age of patients with clinical deterioration events was 8·5 years (IQR 3·9-13·2), and 1095 (54·2%) of 2020 clinical deterioration events were reported in male patients; data on race or ethnicity were not collected. Data were reported per centre for a median of 12 months (IQR 10-13) before PEWS implementation and 18 months (16-18) after PEWS implementation. The mortality rate due to a clinical deterioration event was 1·33 events per 1000 patient-days before PEWS implementation and 1·09 events per 1000 patient-days after PEWS implementation (IRR 0·82 [95% CI 0·69-0·97]; p=0·021). In the multivariable analysis of centre characteristics, higher clinical deterioration event mortality rates before PEWS implementation (IRR 1·32 [95% CI 1·22-1·43]; p<0·0001), being a teaching hospital (1·18 [1·09-1·27]; p<0·0001), not having a separate paediatric haematology-oncology unit (1·38 [1·21-1·57]; p<0·0001), and having fewer PEWS omissions (0·95 [0·92-0·99]; p=0·0091) were associated with a greater reduction in clinical deterioration event mortality after PEWS implementation; no association was found with country income level (IRR 0·86 [95% CI 0·68-1·09]; p=0·22) or clinical deterioration event rates before PEWS implementation (1·04 [0·97-1·12]; p=0·29).InterpretationPEWS implementation was associated with reduced clinical deterioration event mortality in paediatric patients with cancer across 32 resource-limited hospitals in Latin America. These data support the use of PEWS as an effective evidence-based intervention to reduce disparities in global survival for children with cancer.FundingAmerican Lebanese Syrian Associated Charities, US National Institutes of Health, and Conquer Cancer Foundation.TranslationsFor the Spanish and Portuguese translations of the abstract see Supplementary Materials section.

Project description:Early recognition of critically ill patients is of paramount importance to reduce pediatric mortality and morbidity. We created a risk stratification system combining vital parameters and predefined risk factors aimed at reducing the risk of unrecognized clinical deterioration compared with conventional Pediatric Early Warning Systems (PEWS). This single-center retrospective case cohort study included infants (gestational age ≥ 37 weeks) to adolescents (aged <18 years) with unplanned pediatric intensive care unit (PICU) admission between April 01, 2014, and February 28, 2018. The sensitivity in the 24 h prior to endpoint of the Pediatric Risk Evaluation and Stratification System (PRESS) was compared with that of the conventional PEWS and calculated as the proportion of study patients who received a high-risk score. Seventy-four PICU admissions were included. PRESS and PEWS sensitivities at 2 h prior to endpoint were 0.70 (95%CI 0.59 to 0.80) and 0.30 (95%CI 0.20 to 0.42) respectively (p < 0.001). Excluding patients with seizures, PRESS sensitivity increased to 0.75 (95%CI 0.64 to 0.85). Forty-nine patients (66%) scored positive on at least one high-risk factor, and "worried sign" was scored in 31 patients (42%).Conclusion: Risk stratification seems advantageous for a faster detection of clinical deterioration, providing opportunity for earlier intervention. What is Known: • Prompt detection of clinical deterioration is of essential importance to reduce morbidity and mortality. • Conventional Pediatric Early Warning Systems (PEWS) have limited sensitivity and a short window of detection of 1 to 2 h. What is New: • Risk stratification based on context factors allows earlier identification of patients at risk, well before deviation of vital signs. • Risk stratification combined with continuous monitoring of deteriorating trends in vital signs could lead to the development of next-generation warning systems achieving true patient safety.

Project description:BackgroundTimely identification of patients at a high risk of clinical deterioration is key to prioritizing care, allocating resources effectively, and preventing adverse outcomes. Vital signs-based, aggregate-weighted early warning systems are commonly used to predict the risk of outcomes related to cardiorespiratory instability and sepsis, which are strong predictors of poor outcomes and mortality. Machine learning models, which can incorporate trends and capture relationships among parameters that aggregate-weighted models cannot, have recently been showing promising results.ObjectiveThis study aimed to identify, summarize, and evaluate the available research, current state of utility, and challenges with machine learning-based early warning systems using vital signs to predict the risk of physiological deterioration in acutely ill patients, across acute and ambulatory care settings.MethodsPubMed, CINAHL, Cochrane Library, Web of Science, Embase, and Google Scholar were searched for peer-reviewed, original studies with keywords related to "vital signs," "clinical deterioration," and "machine learning." Included studies used patient vital signs along with demographics and described a machine learning model for predicting an outcome in acute and ambulatory care settings. Data were extracted following PRISMA, TRIPOD, and Cochrane Collaboration guidelines.ResultsWe identified 24 peer-reviewed studies from 417 articles for inclusion; 23 studies were retrospective, while 1 was prospective in nature. Care settings included general wards, intensive care units, emergency departments, step-down units, medical assessment units, postanesthetic wards, and home care. Machine learning models including logistic regression, tree-based methods, kernel-based methods, and neural networks were most commonly used to predict the risk of deterioration. The area under the curve for models ranged from 0.57 to 0.97.ConclusionsIn studies that compared performance, reported results suggest that machine learning-based early warning systems can achieve greater accuracy than aggregate-weighted early warning systems but several areas for further research were identified. While these models have the potential to provide clinical decision support, there is a need for standardized outcome measures to allow for rigorous evaluation of performance across models. Further research needs to address the interpretability of model outputs by clinicians, clinical efficacy of these systems through prospective study design, and their potential impact in different clinical settings.

Project description:BackgroundPediatric early warning (PEW) scores represent a "track-and-trigger system" that identifies clinical deterioration in a patient's condition in the hours preceding a sentinel event. Before implementation, nurses reported feeling unprepared to identify and advocate for acutely ill patients owing to a lack of skills, vocabulary, and agency. We implemented a Pediatric Early Warning Score for Resource-Limited Settings (PEWS-RL) with nurses in a rural district hospital in Rwanda. Although PEW scores can improve clinical outcomes, empowering nurses in resource-limited settings to discuss patient acuity with physicians is a critical first step. Our primary aims were to train nurses to obtain more accurate vital signs and assess their importance as early warning signs of clinical deterioration and use PEW scores to improve communication between nurses and physicians.ImplementationThe PEWS-RL tool implementation began with a training program that was created through discussions with nurses, physicians, and the medical director of the hospital. The program included lectures and application of learned skills through direct clinical mentorship of nurses, as well as training of physicians regarding PEWS-RL as a communication tool.EvaluationThe PEWS-RL protocol was evaluated based on pre- and post-tests to assess improvement in nurses' knowledge and skill, as well as skills assessments of accurate recognition of clinical deterioration. All 6 nurses passed skill testing with >80% accuracy. Nurses' feelings of empowerment to advocate for patients and to escalate care were assessed through pre- and post-training interviews. Nurses described increased confidence in calling for physician support.DiscussionImplementation of PEW scores increased nurses' technical skills and feelings of confidence and empowerment; however, the low-resource setting presented major challenges. Barriers to sustainable implementation include the rapid ward staff turnover as well as limited physician buy-in. Nevertheless, the PEWS-RL tool has the potential to empower nurses and improve patient outcomes if fully embraced by staff.

Project description:BackgroundPaediatric Early Warning Systems (PEWSs) improve identification of deterioration, however, their sustainability has not been studied. Sustainability is critical to maximise impact of interventions like PEWS, particularly in low-resource settings. This study establishes the reliability and validity of a Spanish-language Clinical Sustainability Assessment Tool (CSAT) to assess clinical capacity to sustain interventions in resource-limited hospitals.MethodsParticipants included PEWS implementation leadership teams of 29 paediatric cancer centres in Latin America involved in a collaborative to implement PEWS. The CSAT, a sustainability assessment tool validated in high-resource settings, was translated into Spanish and distributed to participants as an anonymous electronic survey. Psychometric, confirmatory factor analysis (CFA), and multivariate analyses were preformed to assess reliability, structure and initial validity. Focus groups were conducted after participants reviewed CSAT reports to assess their interpretation and utility.ResultsThe CSAT survey achieved an 80% response rate (n=169) with a mean score of 4.4 (of 5; 3.8-4.8 among centres). The CSAT had good reliability with an average internal consistency of 0.77 (95% CI 0.71 to 0.81); and CFAs supported the seven-domain structure. CSAT results were associated with respondents' perceptions of the evidence for PEWS, its implementation and use in their centre, and their assessment of the hospital culture and implementation climate. The mean CSAT score was higher among respondents at centres with longer time using PEWS (p<0.001). Focus group participants noted the CSAT report helped assess their centre's clinical capacity to sustain PEWS and provided constructive feedback for improvement.ConclusionsWe present information supporting the reliability and validity of the CSAT tool, the first Spanish-language instrument to assess clinical capacity to sustain evidence-based interventions in hospitals of variable resource levels. This assessment demonstrates a high capacity to sustain PEWS in these resource-limited centres with improvement over time from PEWS implementation.

Dataset Information

Pediatric Early Warning Systems (PEWS) improve provider-family communication from the provider perspective in pediatric cancer patients experiencing clinical deterioration.

Background

Methods

Results

Conclusions

Publications

Pediatric Early Warning Systems (PEWS) improve provider-family communication from the provider perspective in pediatric cancer patients experiencing clinical deterioration.

Similar Datasets

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