Evidence map›Paper›PMID 26564175›Full record

ArticleSystematic reviews2015

Quality and performance measures of strain on intensive care capacity: a protocol for a systematic review.

S Abolfazi Soltani, Armann Ingolfsson, David A Zygun, Henry T Stelfox, Lisa Hartling, Robin Featherstone, Dawn Opgenorth, Sean M Bagshaw

Abstract read
In one paragraph

Article in Systematic reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

8 authors.

S Abolfazi SoltaniAlberta School of Business, University of Alberta, Edmonton, Canada. soltani@ualberta.ca.
Armann IngolfssonAlberta School of Business, University of Alberta, Edmonton, Canada. aingolfs@ualberta.ca.
David A ZygunDivision of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, 2-124 Clinical Sciences Building, 8440-112th Street, Edmonton, Alberta, T6G 2B7, Canada. zygun@ualberta.ca.
Henry T StelfoxCritical Care Strategic Clinical Network, Alberta Health Services, Edmonton, Canada. tstelfox@ucalgary.ca.
Lisa HartlingAlberta Research Centre for Health Evidence (ARCHE), Department of Pediatrics, University of Alberta, Edmonton, Canada. hartling@ualberta.ca.
Robin FeatherstoneAlberta Research Centre for Health Evidence (ARCHE), Department of Pediatrics, University of Alberta, Edmonton, Canada. feathers@ualberta.ca.
Dawn OpgenorthDivision of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, 2-124 Clinical Sciences Building, 8440-112th Street, Edmonton, Alberta, T6G 2B7, Canada. dawno@ualberta.ca.
Sean M BagshawDivision of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, 2-124 Clinical Sciences Building, 8440-112th Street, Edmonton, Alberta, T6G 2B7, Canada. bagshaw@ualberta.ca.

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundThe matching of critical care service supply with demand is fundamental for the efficient delivery of advanced life support to patients in urgent need. Mismatch in this supply/demand relationship contributes to "intensive care unit (ICU) capacity strain," defined as a time-varying disruption in the ability of an ICU to provide well-timed and high-quality intensive care support to any and all patients who are or may become critically ill. ICU capacity strain leads to suboptimal quality of care and may directly contribute to heightened risk of adverse events, premature discharges, unplanned readmissions, and avoidable death. Unrelenting strain on ICU capacity contributes to inefficient health resource utilization and may negatively impact the satisfaction of patients, their families, and frontline providers. It is unknown how to optimally quantify the instantaneous and temporal "stress" an ICU experiences due to capacity strain.

methodsWe will perform a systematic review to identify, appraise, and evaluate quality and performance measures of strain on ICU capacity and their association with relevant patient-centered, ICU-level, and health system-level outcomes. Electronic databases (i.e., MEDLINE, EMBASE, CINAHL, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Web of Science, and the Agency of Healthcare Research and Quality (AHRQ) - National Quality Measures Clearinghouse (NQMC)) will be searched for original studies of measures of ICU capacity strain. Selected gray literature sources will be searched. Search themes will focus on intensive care, quality, operations management, and capacity. Analysis will be primarily narrative. Each identified measure will be defined, characterized, and evaluated using the criteria proposed by the US Strategic Framework Board for a National Quality Measurement and Reporting System (i.e., importance, scientific acceptability, usability, feasibility). DISCUSSION: Our systematic review will comprehensively identify, define, and evaluate quality and performance measures of ICU capacity strain. This is a necessary step towards understanding the impact of capacity strain on quality and performance in intensive care and to develop innovative interventions aimed to improve efficiency, avoid waste, and better anticipate impending capacity shortfalls. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, CRD42015017931.

Indexed as

Critical IllnessHealth Services Needs and DemandCritical CareHumansIntensive Care UnitsResearch DesignSystematic Reviews as Topic

Identifiers

PMID26564175
PMCPMC4643503

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.