Modified ABCDEF-Bundles for Critically Ill Pediatric Patients - What Could They Look Like?

Delirium and Coronavirus Disease 2019: Looking Back, Moving Forward

During the coronavirus disease 2019 pandemic, crisis changes in clinical care increased rates of delirium in the intensive care unit (ICU). Deep sedation, unfamiliar environments with visitor restrictions, and such factors due to high workload and health system strain contributed to the occurrence of delirium doubling in the ICU. As the pandemic wanes, health care systems and ICU leadership must emphasize post-pandemic recovery, integrating lessons learned about delirium management, evidence-based care, and family involvement. Strategies to empower clinicians, creatively deliver care, and integrate families pave the way forward for a more holistic approach to patient care in the post-pandemic era.

Pediatric Delirium Educational Tool Development With Intensive Care Unit Clinicians and Caregivers in Canada: Focus Group Study

Background

Pediatric intensive care unit (PICU)-associated delirium contributes to a decline in postdischarge quality of life, with worse outcomes for individuals with delayed identification. As delirium screening rates remain low within PICUs, caregivers may be able to assist with early detection, for which they need more education, as awareness of pediatric delirium among caregivers remains limited.

Objective

This study aimed to develop an educational tool for caregivers to identify potential delirium symptoms during their child's PICU stay, educate them on how to best support their child if they experience delirium, and guide them to relevant family resources.

Methods

Web-based focus groups were conducted at a tertiary pediatric hospital with expected end users of the tool (ie, PICU health care professionals and caregivers of children with an expected PICU length of stay of over 48 h) to identify potential educational information for inclusion in a family resource guide and to identify strategies for effective implementation. Data were analyzed thematically to generate requirements to inform prototype development. Participants then provided critical feedback on the initial prototype, which guided the final design.

Results

In all, 24 participants (18 health care professionals and 6 caregivers) attended 7 focus groups. Participants identified five informational sections for inclusion: (1) delirium definition, (2) key features of delirium (signs and symptoms), (3) postdischarge outcomes associated with delirium, (4) tips to inform family-centered care, and (5) education or supportive resources. Participants identified seven design requirements: information should (1) be presented in an order that resembles the structure of the clinical discussion around delirium; (2) increase accessibility, recall, and preparedness by providing multiple formats; (3) aim to reduce stress by implementing positive framing; (4) minimize cognitive load to ensure adequate information processing; (5) provide supplemental electronic resources via QR codes; (6) emphasize collaboration between caregivers and the health care team; and (7) use prompting questions to act as a call to action for caregivers.

Conclusions

Key design requirements derived from end-user feedback were established and guided the development of a novel pediatric delirium education tool. Implementing this tool into regular practice has the potential to reduce distress and assist in the early recognition and treatment of delirium in the PICU domain. Future evaluation of its clinical utility is necessary.

Risk factors of delirium in a paediatric intensive care unit: A prospective case series study

BACKGROUND

Delirium is one of the most common complications in critically ill children. Once delirium occurs, it will cause physical and psychological distress in children and increase the length of their ICU stay and hospitalization costs. Understanding the risk factors for delirium in critically ill children can help develop targeted nursing interventions to reduce the incidence of delirium.

AIMS

To investigate the incidence and the risk factors of delirium in the paediatric intensive care unit (PICU).

STUDY DESIGN

We performed a prospective observational study in critically ill patients in the PICU between February and July 2020. Delirium was diagnosed by the Cornell Assessment of Paediatric Delirium (CAPD) and the Richmond Agitation Sedation Scale and analysed via univariate analysis and multivariate logistic regression to determine the independent risk factors of delirium in critically ill children.

RESULTS

The study enrolled 315 patients ranging in age from 1-202 (65.3-54.3) months, with 56.2% (n = 177) being male. The incidence of delirium was 29.2% (n = 92) according to CAPD criteria. Among them, 33 cases (35.9%) were of hyperactive delirium, 16 cases (17.4%) were of hypoactive delirium, and 43 cases (46.7%) were of mixed delirium. By using stepwise logistic regression, the independent risk factors of delirium included mechanical ventilation (odds ratio [OR], 11.470; 95% confidence interval [CI], 4.283-30.721), nervous system disease (OR, 5.596; 95%CI, 2.445 to 12.809), developmental delay (OR, 5.157; 95% CI, 1.990-13.363), benzodiazepine (OR, 3.359; 95% CI 1.278-8.832), number of catheters (OR, 1.918; 95% CI, 1.425 to 2.582), and age (OR, 0.985; 95% confidence interval CI, 0.976-0.993).

CONCLUSIONS

Delirium is a common complication in the PICU. The independent risk factors include mechanical ventilation, nervous system disease, developmental delay, benzodiazepines, higher number of catheters, and younger age. This study may help develop intervention strategies to reduce the incidence of delirium in critically ill children by targeting modifiable risk factors.

RELEVANCE TO CLINICAL PRACTICE

Recommendations for practice include paying attention to high-risk children in the ICU who are prone to delirium, removing influencing factors as soon as possible, and providing targeted nursing interventions.

Effectiveness, quality and implementation of pain, sedation, delirium, and iatrogenic withdrawal syndrome algorithms in pediatric intensive care: a systematic review and meta-analysis

Background

Pain, sedation, delirium, and iatrogenic withdrawal syndrome are conditions that often coexist, algorithms can be used to assist healthcare professionals in decision making. However, a comprehensive review is lacking. This systematic review aimed to assess the effectiveness, quality, and implementation of algorithms for the management of pain, sedation, delirium, and iatrogenic withdrawal syndrome in all pediatric intensive care settings.

Methods

A literature search was conducted on November 29, 2022, in PubMed, Embase, CINAHL and Cochrane Library, ProQuest Dissertations & Theses, and Google Scholar to identify algorithms implemented in pediatric intensive care and published since 2005. Three reviewers independently screened the records for inclusion, verified and extracted data. Included studies were assessed for risk of bias using the JBI checklists, and algorithm quality was assessed using the PROFILE tool (higher % = higher quality). Meta-analyses were performed to compare algorithms to usual care on various outcomes (length of stay, duration and cumulative dose of analgesics and sedatives, length of mechanical ventilation, and incidence of withdrawal).

Results

From 6,779 records, 32 studies, including 28 algorithms, were included. The majority of algorithms (68%) focused on sedation in combination with other conditions. Risk of bias was low in 28 studies. The average overall quality score of the algorithm was 54%, with 11 (39%) scoring as high quality. Four algorithms used clinical practice guidelines during development. The use of algorithms was found to be effective in reducing length of stay (intensive care and hospital), length of mechanical ventilation, duration of analgesic and sedative medications, cumulative dose of analgesics and sedatives, and incidence of withdrawal. Implementation strategies included education and distribution of materials (95%). Supportive determinants of algorithm implementation included leadership support and buy-in, staff training, and integration into electronic health records. The fidelity to algorithm varied from 8.2% to 100%.

Conclusions

The review suggests that algorithm-based management of pain, sedation and withdrawal is more effective than usual care in pediatric intensive care settings. There is a need for more rigorous use of evidence in the development of algorithms and the provision of details on the implementation process.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021276053, PROSPERO [CRD42021276053].