» Articles » PMID: 39072236

Establishing a Paediatric Critical Care Core Quality Measure Set Using a Multistakeholder, Consensus-driven Process

Abstract

Introduction: Monitoring healthcare quality is challenging in paediatric critical care due to measure variability, data collection burden, and uncertainty regarding consumer and clinician priorities.

Objective: We sought to establish a core quality measure set that (i) is meaningful to consumers and clinicians and (ii) promotes alignment of measure use and collection across paediatric critical care.

Design: We conducted a multi-stakeholder Delphi study with embedded consumer prioritisation survey. The Delphi involved two surveys, followed by a consensus meeting. Triangulation methods were used to integrate survey findings prior tobefore the consensus meeting. In the consensus panel, broad agreement was reached on a core measure set, and recommendations were made for future measurement directions in paediatric critical care.

Setting And Participants: Australian and New Zealand paediatric critical care survivors (aged >18 years) and families were invited to rank measure priorities in an online survey distributed via social media and consumer groups. A concurrent Delphi study was undertaken with paediatric critical care clinicians, policy makers, and a consumer representative.

Interventions: None.

Main Outcome Measures: Priorities for quality measures.

Results: Respondents to the consumer survey (n = 117) identified (i) nurse-patient ratios; (ii) visible patient goals; and (iii) long-term follow-up as their quality measure priorities. In the Delphi process, clinicians (Round 1 n = 191; Round 2 n = 117 [61% retention]; Round 3 n = 14) and a consumer representative reached broad agreement on a 51-item (61% of 83 initial measures) core measure set. Clinician priorities were (i) nurse-patient ratio; (ii) staff turnover; and (iii) long term-follow up. Measure feasibility was rated low due to a perceived lack of standardised case definitions or data collection burden. Five recommendations were generated.

Conclusions: We defined a 51-item core measurement set for paediatric critical care, aligned with clinician and consumer priorities. Next steps are implementation and methodological evaluation in quality programs, and where appropriate, retirement of redundant measures.

Citing Articles

The Australian and New Zealand Intensive Care Society Paediatric Study Group (ANZICS PSG): 20 Years of Collaborative Research.

Gibbons K, Beca J, Delzoppo C, Erickson S, Festa M, Gelbart B Pediatr Crit Care Med. 2024; 26(1):e122-e130.

PMID: 39688453 PMC: 11706345. DOI: 10.1097/PCC.0000000000003653.


Dressings and securement devices to prevent complications for peripheral arterial catheters.

Schults J, Reynolds H, Rickard C, Culwick M, Mihala G, Alexandrou E Cochrane Database Syst Rev. 2024; 5():CD013023.

PMID: 38780138 PMC: 11112983. DOI: 10.1002/14651858.CD013023.pub2.

References
1.
Thornton K, Schwarz J, Gross A, Anderson W, Liu K, Romig M . Preventing Harm in the ICU-Building a Culture of Safety and Engaging Patients and Families. Crit Care Med. 2017; 45(9):1531-1537. DOI: 10.1097/CCM.0000000000002556. View

2.
Chiotos K, Blumenthal J, Boguniewicz J, Palazzi D, Stalets E, Rubens J . Antibiotic Indications and Appropriateness in the Pediatric Intensive Care Unit: A 10-Center Point Prevalence Study. Clin Infect Dis. 2022; 76(3):e1021-e1030. PMC: 10169439. DOI: 10.1093/cid/ciac698. View

3.
English M, Aluvaala J, Maina M, Duke T, Irimu G . Quality of inpatient paediatric and newborn care in district hospitals: WHO indicators, measurement, and improvement. Lancet Glob Health. 2023; 11(7):e1114-e1119. DOI: 10.1016/S2214-109X(23)00190-0. View

4.
Wolfensberger A, Jakob W, Faes Hesse M, Kuster S, Meier A, Schreiber P . Development and validation of a semi-automated surveillance system-lowering the fruit for non-ventilator-associated hospital-acquired pneumonia (nvHAP) prevention. Clin Microbiol Infect. 2019; 25(11):1428.e7-1428.e13. PMC: 7128786. DOI: 10.1016/j.cmi.2019.03.019. View

5.
Mainz J . Defining and classifying clinical indicators for quality improvement. Int J Qual Health Care. 2003; 15(6):523-30. DOI: 10.1093/intqhc/mzg081. View