Defining criteria and resource use for high dependency care in children: an observational economic study

Guidance for Structuring a Pediatric Intermediate Care Unit

The purpose of this policy statement is to update the 2004 American Academy of Pediatrics clinical report and provide enhanced guidance for institutions, administrators, and providers in the development and operation of a pediatric intermediate care unit (IMCU). Since 2004, there have been significant advances in pediatric medical, surgical, and critical care that have resulted in an evolution in the acuity and complexity of children potentially requiring IMCU admission. A group of 9 clinical experts in pediatric critical care, hospital medicine, intermediate care, and surgery developed a consensus on priority topics requiring updates, reviewed the relevant evidence, and, through a series of virtual meetings, developed the document. The intended audience of this policy statement is broad and includes pediatric critical care professionals, pediatric hospitalists, pediatric surgeons, other pediatric medical and surgical subspecialists, general pediatricians, nurses, social workers, care coordinators, hospital administrators, health care funders, and policymakers, primarily in resource-rich settings. Key priority topics were delineation of core principles for an IMCU, clarification of target populations, staffing recommendations, and payment.

Neonatal sepsis definitions from randomised clinical trials

INTRODUCTION

Neonatal sepsis is a leading cause of infant mortality worldwide with non-specific and varied presentation. We aimed to catalogue the current definitions of neonatal sepsis in published randomised controlled trials (RCTs).

METHOD

A systematic search of the Embase and Cochrane databases was performed for RCTs which explicitly stated a definition for neonatal sepsis. Definitions were sub-divided into five primary criteria for infection (culture, laboratory findings, clinical signs, radiological evidence and risk factors) and stratified by qualifiers (early/late-onset and likelihood of sepsis).

RESULTS

Of 668 papers screened, 80 RCTs were included and 128 individual definitions identified. The single most common definition was neonatal sepsis defined by blood culture alone (n = 35), followed by culture and clinical signs (n = 29), and then laboratory tests/clinical signs (n = 25). Blood culture featured in 83 definitions, laboratory testing featured in 48 definitions while clinical signs and radiology featured in 80 and 8 definitions, respectively.

DISCUSSION

A diverse range of definitions of neonatal sepsis are used and based on microbiological culture, laboratory tests and clinical signs in contrast to adult and paediatric sepsis which use organ dysfunction. An international consensus-based definition of neonatal sepsis could allow meta-analysis and translate results to improve outcomes.

Anticipating Pediatric Patient Transfers From Intermediate to Intensive Care

OBJECTIVES

To explore characteristics of patients who were admitted to the intermediate care (IC) unit at a tertiary academic institution. In particular, we sought to compare the characteristics of IC patients who were transferred with the characteristics of those who were not transferred to PICU care and evaluate predictors of patient transfer.

METHODS

Data were collected on all admitted IC patients between July 2016 and June 2018. Patients whose index IC admission was from the PICU were excluded. Data collected included demographics and physiologic characteristics: heart rate, respiratory rate, temperature, oxygen therapy, as well as Bedside Pediatric Early Warning System (BPEWS) score.

RESULTS

In this time period, 427 eligible patient visits occurred, with 66 patients (15.46%) being transferred to the PICU. Patients were commonly transferred early in their IC course (1.41 days into admission [0.66-3.87]); transferred patients had higher median admission BPEWS scores (7 [4.25-9] vs 5 [3-7]; P < .01). In the univariate analysis, no individual physiologic characteristic was predictive for transfer. In the multivariate analysis, BPEWS (P < .001) and need for any form of respiratory support (P = .04) were significant predictive factors for transfer (R ² = 0.56).

CONCLUSIONS

The need for close monitoring of physiologic parameters remains paramount, especially in the first 48 hours of admission, in predicting the need for transfer from the IC to PICU. The need for any form of respiratory support is predictive of transfer. Situational awareness and assessment including BPEWS score is of critical importance.

Emergency paediatric critical care in England: describing trends using routine hospital data

OBJECTIVE

To determine trends in emergency admission rates requiring different levels of critical care in hospitals with and without a paediatric intensive care unit (PICU).

DESIGN

Birth cohort study created from Hospital Episode Statistics.

SETTING

National Health Service funded hospitals in England.

PATIENTS

8 577 680 singleton children born between 1 May 2003 and 31 April 2017.

OUTCOME MEASURES

Using procedure and diagnostic codes, we assigned indicators of high dependency care (eg, non-invasive ventilation) or intensive care (eg, invasive ventilation) to emergency admissions.

INTERVENTIONS

Children were followed up until their fifth birthday to estimate high dependency and intensive care admission rates in hospitals with and without a PICU. We tested the yearly trend of high dependency and intensive care admissions to hospitals without a PICU using logistic regression models.

RESULTS

Emergency admissions requiring high dependency care in hospitals without a PICU increased from 3.30 (95% CI 3.09 to 3.51) per 10 000 child-years in 2008/2009 to 7.58 (95% CI 7.28 to 7.89) in 2016/2017 and overtook hospitals with a PICU in 2015/2016. The odds of an admission requiring high dependency care to a hospital without a PICU compared with a hospital with a PICU increased by 9% per study year (OR 1.09, 95% CI 1.08 to 1.10). The same trend was not present for admissions requiring intensive care (OR 1.01, 95% CI 0.99 to 1.03).

CONCLUSIONS

Between 2008/2009 and 2016/2017, an increasing proportion of admissions with indicators of high dependency care took place in hospitals without a PICU.

Barriers and Enablers to Implementing a High-Dependency Care Model in Pediatric Care: A Preimplementation Study

BACKGROUND

As the level of acuity of pediatric hospital admissions continues to increase, additional pressure is being placed on hospital resources and the nursing workforce.

LOCAL PROBLEM

Currently, there is no formalized approach to care for high-acuity patients on our pediatric inpatient unit.

METHODS

We used a qualitative descriptive design, guided by the Theoretical Domains Framework and Capability, Opportunity, Motivation-Behaviour (COM-B) model, to conduct focus groups and interviews with clinicians and administrators to identify potential barriers and enablers to implementing a high-dependency care (HDC) model. An HDC model focuses on the relationship between adequate nursing staff resources and patient acuity to improve patient health outcomes.

RESULTS

Participants identified the need for clear guidelines and supportive physical structures to facilitate HDC implementation. Anticipated benefits included enhanced nursing confidence and family-centered care.

CONCLUSIONS

Study findings highlight multilevel factors to consider prior to implementing an HDC model on a pediatric inpatient unit.

Prediction of complications in early-onset pre-eclampsia (PREP): development and external multinational validation of prognostic models

BACKGROUND

Unexpected clinical deterioration before 34 weeks gestation is an undesired course in early-onset pre-eclampsia. To safely prolong preterm gestation, accurate and timely prediction of complications is required.

METHOD

Women with confirmed early onset pre-eclampsia were recruited from 53 maternity units in the UK to a large prospective cohort study (PREP-946) for development of prognostic models for the overall risk of experiencing a complication using logistic regression (PREP-L), and for predicting the time to adverse maternal outcome using a survival model (PREP-S). External validation of the models were carried out in a multinational cohort (PIERS-634) and another cohort from the Netherlands (PETRA-216). Main outcome measures were C-statistics to summarise discrimination of the models and calibration plots and calibration slopes.

RESULTS

A total of 169 mothers (18%) in the PREP dataset had adverse outcomes by 48 hours, and 633 (67%) by discharge. The C-statistics of the models for predicting complications by 48 hours and by discharge were 0.84 (95% CI, 0.81-0.87; PREP-S) and 0.82 (0.80-0.84; PREP-L), respectively. The PREP-S model included maternal age, gestation, medical history, systolic blood pressure, deep tendon reflexes, urine protein creatinine ratio, platelets, serum alanine amino transaminase, urea, creatinine, oxygen saturation and treatment with antihypertensives or magnesium sulfate. The PREP-L model included the above except deep tendon reflexes, serum alanine amino transaminase and creatinine. On validation in the external PIERS dataset, the reduced PREP-S model showed reasonable calibration (slope 0.80) and discrimination (C-statistic 0.75) for predicting adverse outcome by 48 hours. Reduced PREP-L model showed excellent calibration (slope: 0.93 PIERS, 0.90 PETRA) and discrimination (0.81 PIERS, 0.75 PETRA) for predicting risk by discharge in the two external datasets.

CONCLUSIONS

PREP models can be used to obtain predictions of adverse maternal outcome risk, including early preterm delivery, by 48 hours (PREP-S) and by discharge (PREP-L), in women with early onset pre-eclampsia in the context of current care. They have a potential role in triaging high-risk mothers who may need transfer to tertiary units for intensive maternal and neonatal care.

TRIAL REGISTRATION

ISRCTN40384046 , retrospectively registered.