Evidence map›Paper›PMID 36527136›Full record

ArticleImplementation science : IS2022

Prioritizing evidence-based practices for acute respiratory distress syndrome using digital data: an iterative multi-stakeholder process.

Jennifer N Ervin, Millie R Dibble, Victor C Rentes, Michael W Sjoding, Michelle N Gong, Catherine L Hough, Theodore J Iwashyna, Anne E Sales

Open access · goldAbstract read
In one paragraph

Article in Implementation science : IS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 5 institutions in 1 country.

Jennifer N ErvinHealth Sciences, Office of Health Affairs, West Virginia University, Morgantown, WV, USA.
Millie R DibbleDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA.
Victor C RentesDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA.
Michael W SjodingInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Michelle N GongDivisions of Critical Care Medicine and Pulmonary Medicine, Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, NY, USA.
Catherine L HoughDivision of Pulmonary and Critical Care Medicine, Oregon Health & Science University, Portland, OR, USA.
Theodore J IwashynaInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Anne E SalesInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA. asales@missouri.edu.ORCID 0000-0001-9360-3334
University of Michigan · USAlbert Einstein College of Medicine · USJohns Hopkins University · USOregon Health & Science University · USWest Virginia University · US

Funding

Training to Advance Care Through Implementation Science in Cardiac And Lung Illnesses (TACTICAL)K12HL138039 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARNES, GEOFFREY DOUGLAS, PRESCOTT, HALLIE CHRISTINE · 2017 to 2021
$3.1M
Digital Implementation Intervention Trials in Acute Lung Care (DIGITAL-C) Network PlanningU01HL143453 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GONG, MICHELLE NG, SALES, ANNE EVELYN · 2018 to 2019
$877k
Data-Driven Identification of the Acute Respiratory Distress SyndromeK01HL136687 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SJODING, MICHAEL WILLIAM · 2017 to 2021
$862k
NHLBI NIH HHS K01 HL136687NHLBI NIH HHS K12 HL138039NHLBI NIH HHS U01 HL143453
6 · The paper itself

Abstract

backgroundEvidence-based practices (EBPs) for patients receiving invasive mechanical ventilation vary in the quality of their underlying evidence and ease of implementation. RESEARCH QUESTION: How do researchers and clinicians prioritize EBPs to help guide clinical decision-making and focus implementation efforts to improve patient care using existing, validated measures? STUDY DESIGN AND

methodsWe developed a 4-step rapid method using existing criteria to prioritize EBPs associated with lower mortality and/or shorter duration of invasive mechanical ventilation for patients suffering from acute respiratory failure or acute respiratory distress syndrome. Using different types of data including surveys, we (1) identified relevant EBPs, (2) rated EBPs using the Guideline Implementability Appraisal (GLIA) tool, (3) surveyed practicing ICU clinicians from different hospital systems using a subset of GLIA criteria, and (4) developed metrics to assess EBP performance. In this paper, we describe steps 2 and 3.

resultsIn step 2, we prioritized 11 EBPs from an initial list of 30, using surveys and ratings among a small group of clinician researchers. In step 3, 42 clinicians from 8 different hospital systems provided assessments of these 11 EBPs which inform the final step of metric development.

interpretationOur prioritization process allowed us to identify 11 EBPs out of a larger group that clinicians perceive is most likely to help optimize invasive mechanical ventilation and improve the outcomes of this vulnerable patient population. While this method was developed in critical care related to adults receiving invasive mechanical ventilation, it is adaptable to other health contexts.

Indexed as

Respiratory Distress SyndromeAdultCritical CareEvidence-Based PracticeHumansClinical quality improvementEvidence-based practicesHealthcare providersImplementation sciencePrioritization

Identifiers

PMID36527136
PMCPMC9756680
OpenAlexW4312094159

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.