Evidence map›Paper›PMID 34353360›Full record

ArticleJournal of intensive care2021

A scoping review of registry captured indicators for evaluating quality of critical care in ICU.

Issrah Jawad, Sumayyah Rashan, Chathurani Sigera, Jorge Salluh, Arjen M Dondorp, Rashan Haniffa, Abi Beane

Abstract readScoping Review
In one paragraph

Article in Journal of intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Quality Indicators in Adult Critical Care Medicine.Global journal on quality and safety in healthcare · 2024
    Review
  11. Assessing quality of critical care during an ongoing health emergency-a novel approach to evaluate quality of care at Lebanese public ICUs during COVID-19.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. What intensive care registries can teach us about outcomes.Current opinion in critical care · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Issrah JawadNational Intensive Care Surveillance-MORU, Borella, Colombo, Western Province, 08, Sri Lanka.
Sumayyah RashanNational Intensive Care Surveillance-MORU, Borella, Colombo, Western Province, 08, Sri Lanka.
Chathurani SigeraNational Intensive Care Surveillance-MORU, Borella, Colombo, Western Province, 08, Sri Lanka.
Jorge SalluhDepartment of Critical Care and Graduate Program in Translational Medicine, D'Or Institute for Research and Education, Rio de Janeiro, Brazil.
Arjen M DondorpCritical Care, Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Central Thailand, 10400, Thailand.
Rashan HaniffaCritical Care, Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Central Thailand, 10400, Thailand.
Abi BeaneCritical Care, Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Central Thailand, 10400, Thailand. abi@nicslk.com.

Funding

Medical Research Council MR/V030884/1Wellcome Trust 215522
6 · The paper itself

Abstract

backgroundExcess morbidity and mortality following critical illness is increasingly attributed to potentially avoidable complications occurring as a result of complex ICU management (Berenholtz et al., J Crit Care 17:1-2, 2002; De Vos et al., J Crit Care 22:267-74, 2007; Zimmerman J Crit Care 1:12-5, 2002). Routine measurement of quality indicators (QIs) through an Electronic Health Record (EHR) or registries are increasingly used to benchmark care and evaluate improvement interventions. However, existing indicators of quality for intensive care are derived almost exclusively from relatively narrow subsets of ICU patients from high-income healthcare systems. The aim of this scoping review is to systematically review the literature on QIs for evaluating critical care, identify QIs, map their definitions, evidence base, and describe the variances in measurement, and both the reported advantages and challenges of implementation.

methodWe searched MEDLINE, EMBASE, CINAHL, and the Cochrane libraries from the earliest available date through to January 2019. To increase the sensitivity of the search, grey literature and reference lists were reviewed. Minimum inclusion criteria were a description of one or more QIs designed to evaluate care for patients in ICU captured through a registry platform or EHR adapted for quality of care surveillance.

resultsThe search identified 4780 citations. Review of abstracts led to retrieval of 276 full-text articles, of which 123 articles were accepted. Fifty-one unique QIs in ICU were classified using the three components of health care quality proposed by the High Quality Health Systems (HQSS) framework. Adverse events including hospital acquired infections (13.7%), hospital processes (54.9%), and outcomes (31.4%) were the most common QIs identified. Patient reported outcome QIs accounted for less than 6%. Barriers to the implementation of QIs were described in 35.7% of articles and divided into operational barriers (51%) and acceptability barriers (49%).

conclusionsDespite the complexity and risk associated with ICU care, there are only a small number of operational indicators used. Future selection of QIs would benefit from a stakeholder-driven approach, whereby the values of patients and communities and the priorities for actionable improvement as perceived by healthcare providers are prioritized and include greater focus on measuring discriminable processes of care.

Indexed as

BenchmarkingCritical illnessHealth system improvementICUPatient safetyQuality indicators

Identifiers

PMID34353360
PMCPMC8339165

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.