Evidence map›Paper›PMID 27716243›Full record

ArticleBMC medical informatics and decision making2016

Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN): evolution of a content management system for point-of-care clinical decision support.

Amelia Barwise, Lisbeth Garcia-Arguello, Yue Dong, Manasi Hulyalkar, Marija Vukoja, Marcus J Schultz, Neill K J Adhikari, Benjamin Bonneton, Oguz Kilickaya, Rahul Kashyap and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Reliability and Validity of the Checklist for Early Recognition and Treatment of Acute Illness and Injury as a Charting Tool in the Medical Intensive Care Unit.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2017
    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

12 authors.

Amelia BarwiseMultidisciplinary Epidemiology and Translational Research in Intensive Care (M.E.T.R.I.C.), Division of Pulmonary and Critical Care Medicine, Mayo Clinic, 200 1ST Street SW, Rochester, MN, USA. barwise.amelia@mayo.edu.
Lisbeth Garcia-ArguelloMultidisciplinary Epidemiology and Translational Research in Intensive Care (M.E.T.R.I.C.), Division of Pulmonary and Critical Care Medicine, Mayo Clinic, 200 1ST Street SW, Rochester, MN, USA.
Yue DongMultidisciplinary Epidemiology and Translational Research in Intensive Care (M.E.T.R.I.C.), Division of Pulmonary and Critical Care Medicine, Mayo Clinic, 200 1ST Street SW, Rochester, MN, USA.
Manasi HulyalkarMultidisciplinary Epidemiology and Translational Research in Intensive Care (M.E.T.R.I.C.), Division of Pulmonary and Critical Care Medicine, Mayo Clinic, 200 1ST Street SW, Rochester, MN, USA.
Marija VukojaThe Institute for Pulmonary Diseases of Vojvodina, Sremska Kamenica, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Marcus J SchultzAcademisch Medisch Centrum, Universiteit van Amsterdam, Amsterdam, Netherlands.
Neill K J AdhikariDepartment of Critical Care Medicine, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada.
Benjamin BonnetonEmergency Department, René Arbeltier Hospital, Coulommiers, France.
Oguz KilickayaDepartment of Anesthesiology and Reanimation, Gulhane Military Medical Faculty, 06010, Etlik, Amkara, Turkey.
Rahul KashyapMultidisciplinary Epidemiology and Translational Research in Intensive Care (M.E.T.R.I.C.), Division of Pulmonary and Critical Care Medicine, Mayo Clinic, 200 1ST Street SW, Rochester, MN, USA.
Ognjen GajicMultidisciplinary Epidemiology and Translational Research in Intensive Care (M.E.T.R.I.C.), Division of Pulmonary and Critical Care Medicine, Mayo Clinic, 200 1ST Street SW, Rochester, MN, USA.
Christopher N SchmicklMultidisciplinary Epidemiology and Translational Research in Intensive Care (M.E.T.R.I.C.), Division of Pulmonary and Critical Care Medicine, Mayo Clinic, 200 1ST Street SW, Rochester, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN) is an international collaborative project with the overall objective of standardizing the approach to the evaluation and treatment of critically ill patients world-wide, in accordance with best-practice principles. One of CERTAIN's key features is clinical decision support providing point-of-care information about common acute illness syndromes, procedures, and medications in an index card format.

methodsThis paper describes 1) the process of developing and validating the content for point-of-care decision support, and 2) the content management system that facilitates frequent peer-review and allows rapid updates of content across different platforms (CERTAIN software, mobile apps, pdf-booklet) and different languages.

resultsContent was created based on survey results of acute care providers and validated using an open peer-review process. Over a 3 year period, CERTAIN content expanded to include 67 syndrome cards, 30 procedure cards, and 117 medication cards. 127 (59 %) cards have been peer-reviewed so far. Initially MS Word® and Dropbox® were used to create, store, and share content for peer-review. Recently Google Docs® was used to make the peer-review process more efficient. However, neither of these approaches met our security requirements nor has the capacity to instantly update the different CERTAIN platforms.

conclusionAlthough we were able to successfully develop and validate a large inventory of clinical decision support cards in a short period of time, commercially available software solutions for content management are suboptimal. Novel custom solutions are necessary for efficient global point of care content system management.

Indexed as

ChecklistDecision Support Systems, ClinicalEarly DiagnosisPoint-of-Care SystemsAcute DiseaseCritical CareHumansChecklistContentCritical careDecision-support toolInfrastructurePoint-of-careSoftwareTechnology

Identifiers

PMID27716243
PMCPMC5048402

What OpenQuestion holds

Textmetadata
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.