Evidence map›Paper›PMID 31909721›Full record

ArticleJMIR research protocols2020

Understanding and Addressing Variation in Health Care-Associated Infections After Durable Ventricular Assist Device Therapy: Protocol for a Mixed Methods Study.

P Paul Chandanabhumma, Michael D Fetters, Francis D Pagani, Preeti N Malani, John M Hollingsworth, Russell J Funk, Keith D Aaronson, Min Zhang, Robert L Kormos, Carol E Chenoweth and 4 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

P Paul ChandanabhummaMixed Methods Program, Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-3079-5591
Michael D FettersMixed Methods Program, Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0001-8521-5681
Francis D PaganiDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-4430-9969
Preeti N MalaniDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-8263-8408
John M HollingsworthDepartment of Urology, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-3372-9370
Russell J FunkDepartment of Strategic Management and Entrepreneurship, Carlson School of Management, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0001-6670-4981
Keith D AaronsonDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-1538-576X
Min Zhang *Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-3331-3583
Robert L KormosDepartment of Cardiothoracic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-1421-7123
Carol E ChenowethDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-3211-0509
Supriya ShoreDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-5436-6097
Tessa M F WattDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-3714-2507
Lourdes CabreraDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-2406-5098
Donald S LikoskyDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-0416-9359
University of Michigan · USMichigan Medicine · USUniversity of Minnesota · USUniversity of Pittsburgh Medical Center · US

Funding

TRAINING IN MOLECULAR AND CELLULAR CARDIOLOGYT32HL007853 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David J. Pinsky · 1996 to 2026
$11.6M
Understanding and Addressing Variation in Healthcare-Associated Infections After Durable Ventricular Assist Device TherapyR01HS026003 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIKOSKY, DONALD S · 2018 to 2022
$2.3M
AHRQ HHS R01 HS026003NHLBI NIH HHS HHSN268201100025CNHLBI NIH HHS T32 HL007853
6 · The paper itself

Abstract

backgroundDurable ventricular assist device (VAD) therapy is reserved for patients with advanced heart failure who have a poor estimated 1-year survival. However, despite highly protocolized management processes, patients are at a unique risk for developing a health care-associated infection (HAI). Few studies have examined optimal strategies for HAI prevention after durable VAD implantation, despite variability in rates across centers and their impact on short- and long-term outcomes.

objectiveThe objective of this study is to develop recommendations for preventing the most significant HAIs after durable VAD implantation. The study has 3 specific aims: (1) identify determinants of center-level variability in HAI rates, (2) develop comprehensive understanding of barriers and facilitators for achieving low center-level HAI rates, and (3) develop and disseminate a best practices toolkit for preventing HAIs that accommodates various center contexts.

methodsThis is a sequential mixed methods study starting with a cross-sectional assessment of current practices. To address aim 1, we will conduct (1) a systematic review of HAI prevention studies and (2) in-depth quantitative analyses using administrative claims, in-depth clinical data, and organizational surveys of VAD centers. For aim 2, we will apply a mixed methods patient tracer assessment framework to conduct semistructured interviews, field observations, and document analysis informed by findings from aim 1 at 5 high-performing (ie, low HAIs) and 5 low-performing (ie, high HAI) centers, which will be examined using a mixed methods case series analysis. For aim 3, we will build upon the findings from the previous aims to develop and field test an HAI preventive toolkit, acquire stakeholder input at an annual cardiac surgical conference, disseminate the final version to VAD centers nationwide, and conduct follow-up surveys to assess the toolkit's adoption.

resultsThe project was funded by the Agency for Healthcare Research and Quality in 2018 and enrollment for the overall project is ongoing. Data analysis is currently under way and the first results are expected to be submitted for publication in 2019.

conclusionsThis mixed methods study seeks to quantitatively assess the determinants of HAIs across clinical centers and qualitatively identify the context-specific facilitators and barriers for attaining low HAI rates. The mixed data findings will be used to develop and disseminate a stakeholder-acceptable toolkit of evidence-based HAI prevention recommendations that will accommodate the specific contexts and needs of VAD centers. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/14701.

Indexed as

cardiac surgical proceduresheart failureinfectionmixed methodsventricular assist device

Identifiers

PMID31909721
PMCPMC6996720
OpenAlexW2982420905

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.